CP-3 Matrices — revision question pack

8 specification points · notes, questions, answers and worked methods

Checked against Edexcel 9FM0 section CP-3. Review basis: the qualification registry sourced from the Pearson Edexcel Level 3 Advanced GCE in Further Mathematics (9FM0) specification; registry verification recorded 17 July 2026.

How this checking works

CP-3.1 · Add, subtract and multiply conformable matrices. Multiply a matrix by a scalar.

Explanation

  • Matrices may be added or subtracted only when they have the same order; combine entries in corresponding positions. Scalar multiplication multiplies every entry by the scalar.
  • A product ABAB exists when the number of columns of AA equals the number of rows of BB.
  • Its (i,j)(i,j) entry is the scalar product of row ii of AA with column jj of BB, and the result has the number of rows of AA and columns of BB.
  • Matrix multiplication is generally not commutative, so ABAB and BABA may have different orders or only one may exist.
  • Dimensions should be checked before any arithmetic.

Worked example

Let A=(1213)A=\begin{pmatrix}1&2\\-1&3\end{pmatrix} and B=(4022)B=\begin{pmatrix}4&0\\2&-2\end{pmatrix}. Calculate ABAB.

  1. 1.Both matrices are 2×22\times2, so ABAB is 2×22\times2.
  2. 2.The first row gives 1(4)+2(2)=81(4)+2(2)=8 and 1(0)+2(2)=41(0)+2(-2)=-4.
  3. 3.The second row gives 1(4)+3(2)=2-1(4)+3(2)=2 and 1(0)+3(2)=6-1(0)+3(-2)=-6.

Answer: AB=(8426)AB=\begin{pmatrix}8&-4\\2&-6\end{pmatrix}.

Common mistakes

  • Don't fall into the trap of multiplying entries in matching positions instead of taking row-column scalar products.
  • Don't fall into the trap of assuming AB=BAAB=BA even though matrix multiplication is not generally commutative.
  • Don't fall into the trap of giving the product the order of the two inner dimensions instead of the outer dimensions.

Exam tip

Write the matrix orders first; the equal inner dimensions establish conformability and the outer dimensions give the product's order.

Tier 1 · Easy

  1. 1.

    Given A=(2130)A=\begin{pmatrix}2&-1\\3&0\end{pmatrix} and B=(1425)B=\begin{pmatrix}-1&4\\2&5\end{pmatrix}, calculate 2AB2A-B.

    (2)

    (Total for Question 1 is 2 marks)

  2. 2.

    Let U=(21)U=\begin{pmatrix}2\\-1\end{pmatrix} and V=(34)V=\begin{pmatrix}3&4\end{pmatrix}. Calculate both UVUV and VUVU, stating the order of each product.

    (3)

    (Total for Question 2 is 3 marks)

Tier 2 · Standard

  1. 1.

    Let C=(121032)C=\begin{pmatrix}1&2&-1\\0&3&2\end{pmatrix} and D=(211430)D=\begin{pmatrix}2&1\\-1&4\\3&0\end{pmatrix}. Calculate CDCD and state its order.

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    Given A=(102131)A=\begin{pmatrix}1&0&2\\-1&3&1\end{pmatrix}, B=(211)B=\begin{pmatrix}2\\-1\\1\end{pmatrix} and C=(14)C=\begin{pmatrix}1&4\end{pmatrix}, calculate (AB)C(AB)C and A(BC)A(BC).

    (4)

    (Total for Question 2 is 4 marks)

  3. 3.

    Let A=(1201)A=\begin{pmatrix}1&2\\0&-1\end{pmatrix} and B=(3120)B=\begin{pmatrix}3&-1\\2&0\end{pmatrix}. Calculate C=ABBAC=AB-BA and hence find C2C^2.

    (4)

    (Total for Question 3 is 4 marks)

Tier 3 · Hard

  1. 1.

    Given A=(1230)A=\begin{pmatrix}1&-2\\3&0\end{pmatrix} and B=(p11q)B=\begin{pmatrix}p&1\\-1&q\end{pmatrix}, the matrix AB+2AAB+2A is (89183)\begin{pmatrix}8&-9\\18&3\end{pmatrix}. Determine pp and qq.

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    Let A=(101011)A=\begin{pmatrix}1&0&1\\0&1&1\end{pmatrix} and B=(1uv111)B=\begin{pmatrix}1&u\\v&1\\1&-1\end{pmatrix}. Given that AB=(2140)AB=\begin{pmatrix}2&1\\-4&0\end{pmatrix}, determine the value of uu and the value of vv, then state the order of BABA and of ABAB.

    (5)

    (Total for Question 2 is 5 marks)

  3. 3.

    Let A=(1002)A=\begin{pmatrix}1&0\\0&2\end{pmatrix}, B=(0110)B=\begin{pmatrix}0&1\\-1&0\end{pmatrix} and X=(abcd)X=\begin{pmatrix}a&b\\c&d\end{pmatrix}. Given that AX+XB=(3155)AX+XB=\begin{pmatrix}3&1\\5&5\end{pmatrix}, determine XX.

    (6)

    (Total for Question 3 is 6 marks)

  4. 4.

    Let A=(1210)A=\begin{pmatrix}1&2\\-1&0\end{pmatrix}, B=(0132)B=\begin{pmatrix}0&1\\3&-2\end{pmatrix} and C=(2352)C=\begin{pmatrix}2&3\\-5&2\end{pmatrix}. Given that C=pA+qBC=pA+qB, find the values of pp and qq. Hence calculate A(B+C)A(B+C).

    (6)

    (Total for Question 4 is 6 marks)

  5. 5.

    Let A=(2111)A=\begin{pmatrix}2&-1\\1&1\end{pmatrix} and B=(0321)B=\begin{pmatrix}0&3\\-2&1\end{pmatrix}. Calculate (A+B)2(A+B)^2 and A2+2AB+B2A^2+2AB+B^2, and explain why they differ.

    (6)

    (Total for Question 5 is 6 marks)

CP-3.2 · Understand and use zero and identity matrices.

Explanation

  • The zero matrix OO has every entry zero and is the additive identity: A+O=AA+O=A for matrices of the same order.
  • An identity matrix II is square, with ones on the leading diagonal and zeros elsewhere, and satisfies AI=IA=AAI=IA=A whenever the products are defined.
  • Its order must match the matrix calculation.
  • Polynomial identities in a square matrix are manipulated algebraically, but a scalar constant becomes that scalar multiplied by II; for example, the matrix counterpart of x25x+6x^2-5x+6 is A25A+6IA^2-5A+6I.
  • The symbols OO and II therefore represent matrices, not the scalar numbers 00 and 11.

Worked example

A square matrix AA satisfies A25A+6I=OA^2-5A+6I=O. Express A3A^3 in the form pA+qIpA+qI.

  1. 1.Rearrange the identity to obtain A2=5A6IA^2=5A-6I.
  2. 2.Multiply by AA: A3=5A26AA^3=5A^2-6A.
  3. 3.Substitute again: A3=5(5A6I)6AA^3=5(5A-6I)-6A.

Answer: A3=19A30IA^3=19A-30I.

Common mistakes

  • Don't fall into the trap of writing a scalar constant such as 66 where the matrix expression requires 6I6I.
  • Don't fall into the trap of using an identity matrix whose order does not match the square matrix AA.
  • Don't fall into the trap of treating OO as though it can be added to a matrix of any order.

Exam tip

In a matrix polynomial, attach II to every constant term and preserve the order of matrix factors.

Tier 1 · Easy

  1. 1.

    For A=(2103)A=\begin{pmatrix}2&-1\\0&3\end{pmatrix}, write down A+OA+O and IAIA, where OO and II have the appropriate order.

    (2)

    (Total for Question 1 is 2 marks)

  2. 2.

    A square matrix NN satisfies N2=ON^2=O. Simplify (I+N)3(I+N)^3.

    (3)

    (Total for Question 2 is 3 marks)

Tier 2 · Standard

  1. 1.

    Let A=(1102)A=\begin{pmatrix}1&1\\0&2\end{pmatrix}. Verify that (AI)(A2I)=O(A-I)(A-2I)=O and hence state a quadratic matrix equation satisfied by AA.

    (3)

    (Total for Question 1 is 3 marks)

  2. 2.

    A square matrix PP satisfies P2=PIP^2=P-I. Show that P6=IP^6=I.

    (4)

    (Total for Question 2 is 4 marks)

  3. 3.

    A square matrix EE satisfies E2=EE^2=E. Let S=2EIS=2E-I. Find S2S^2 and hence simplify S2027S^{2027}.

    (4)

    (Total for Question 3 is 4 marks)

Tier 3 · Hard

  1. 1.

    A square matrix MM satisfies M2=3M+2IM^2=3M+2I. Without finding the entries of MM, simplify M34M2+MM^3-4M^2+M.

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    A square matrix QQ satisfies Q2=4QIQ^2=4Q-I. (a) Given that (Q+I)2=uQ+vI(Q+I)^2=uQ+vI, where uu and vv are integers, find the value of uu and the value of vv. (b) Hence find the value of ww and the value of tt, given that (Q+I)4=wQ+tI(Q+I)^4=wQ+tI.

    (6)

    (Total for Question 2 is 6 marks)

  3. 3.

    A square matrix KK satisfies K3=K+IK^3=K+I. Express K5K^5 in the form aK2+bK+cIaK^2+bK+cI, where aa, bb and cc are integers.

    (6)

    (Total for Question 3 is 6 marks)

  4. 4.

    Let A=(1122)A=\begin{pmatrix}1&-1\\2&-2\end{pmatrix} and B=(q32r)B=\begin{pmatrix}q&3\\2&r\end{pmatrix}, where qq and rr are real. Given that AB=OAB=O, find the values of qq and rr. Calculate BABA and state what the result shows.

    (7)

    (Total for Question 4 is 7 marks)

  5. 5.

    Let A=(abca)A=\begin{pmatrix}a&b\\c&-a\end{pmatrix}, where aa, bb and cc are real. Show that A2=(a2+bc)IA^2=(a^2+bc)I. Taking a=2a=2 and b=1b=1, find the value of cc when a2+bc=0a^2+bc=0 and when a2+bc=1a^2+bc=1, and state A2A^2 in each case.

    (7)

    (Total for Question 5 is 7 marks)

CP-3.3 · Use matrices to represent linear transformations in 2-D. Successive transformations. Single transformations in 3-D.

Explanation

  • A linear transformation is determined by the images of the standard basis vectors, which form the columns of its matrix.
  • In two dimensions, required matrices include reflections in coordinate axes or y=±xy=\pm x, rotations through any angle about the origin, stretches parallel to an axis and enlargements about the origin with non-zero real scale factor.
  • If matrix AA acts first and matrix BB second, the combined matrix is BABA, because xAxBAx\mathbf x\mapsto A\mathbf x\mapsto BA\mathbf x.
  • In three dimensions, use a 3×33\times3 matrix; transformations are confined to reflections in coordinate planes and rotations about coordinate axes.
  • Basis-vector images also identify these transformations.
The columns of a two-dimensional transformation matrix are the images of the two standard basis vectors.

Worked example

A rotation through 9090^\circ anticlockwise is followed by reflection in the xx-axis. Find the combined matrix.

  1. 1.The rotation matrix is R=(0110)R=\begin{pmatrix}0&-1\\1&0\end{pmatrix}.
  2. 2.The reflection matrix is F=(1001)F=\begin{pmatrix}1&0\\0&-1\end{pmatrix}.
  3. 3.Since the rotation acts first, the combined matrix is FRFR.

Answer: FR=(0110)FR=\begin{pmatrix}0&-1\\-1&0\end{pmatrix}.

Common mistakes

  • Don't fall into the trap of writing ABAB when transformation AA acts first and transformation BB acts second.
  • Don't fall into the trap of putting basis-vector images into rows rather than columns.
  • Don't fall into the trap of using a two-dimensional transformation matrix on a three-dimensional coordinate vector.

Exam tip

For successive transformations, write the action on x\mathbf x from right to left before multiplying the matrices.

Tier 1 · Easy

  1. 1.

    The matrix R=(0110)R=\begin{pmatrix}0&-1\\1&0\end{pmatrix} acts on the point P(3,2)P(3,-2). Find the image of PP and describe the transformation.

    (2)

    (Total for Question 1 is 2 marks)

  2. 2.

    The matrix E=(2002)E=\begin{pmatrix}-2&0\\0&-2\end{pmatrix} represents a transformation. Find the image of P(3,1)P(3,-1) and describe the transformation.

    (2)

    (Total for Question 2 is 2 marks)

Tier 2 · Standard

  1. 1.

    A reflection in the line y=xy=x is followed by a stretch parallel to the xx-axis with scale factor 22. Find the matrix of the combined transformation and the image of (2,1)(2,-1).

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    Let RR be rotation through 9090^\circ anticlockwise and let HH be a stretch parallel to the xx-axis with scale factor 33. A point (1,2)(1,2) is mapped to (2,3)(-2,3). Determine which of the two transformations is applied first, and find the matrix of the combined transformation.

    (5)

    (Total for Question 2 is 5 marks)

  3. 3.

    A rotation through the smallest positive angle θ\theta about the origin maps (2,0)(2,0) to (3,1)(\sqrt3,1). Find θ\theta, write down the matrix of the rotation, and find the image of (1,3)(-1,\sqrt3).

    (5)

    (Total for Question 3 is 5 marks)

Tier 3 · Hard

  1. 1.

    A transformation in three dimensions maps (x,y,z)(x,y,z) to (x,z,y)(x,-z,y). Write down its matrix, find the image of (2,1,4)(2,-1,4), and explain geometrically what the transformation does.

    (5)

    (Total for Question 1 is 5 marks)

  2. 2.

    A linear transformation in three dimensions maps (1,1,0)(1,1,0) to (1,1,0)(-1,1,0), (0,1,1)(0,1,1) to (1,0,1)(-1,0,1) and (1,0,1)(1,0,1) to (0,1,1)(0,1,1). Determine its matrix, describe the transformation, and find the image of (2,1,3)(2,-1,3).

    (5)

    (Total for Question 2 is 5 marks)

  3. 3.

    The matrix T=(0330)T=\begin{pmatrix}0&3\\3&0\end{pmatrix} can be written as T=ERT=ER, where RR represents reflection in either y=xy=x or y=xy=-x, and EE is an enlargement with centre the origin and positive scale factor. Determine RR and EE, state the transformations in the order in which they act, and find the image of (2,1)(2,-1) under TT.

    (6)

    (Total for Question 3 is 6 marks)

  4. 4.

    A reflection in the line y=xy=-x is followed by a reflection in the yy-axis. Find the matrix of the combined transformation, stating the order in which the matrices are multiplied. Describe the single equivalent transformation and find the image of (4,1)(4,1).

    (6)

    (Total for Question 4 is 6 marks)

  5. 5.

    A reflection in the line y=xy=x is followed by a stretch parallel to the yy-axis with scale factor 44, and then by a rotation through 180180^\circ about the origin. Find the combined matrix. Find also the matrix when the three transformations are applied in reverse order, and compare the images of (5,2)(5,-2).

    (7)

    (Total for Question 5 is 7 marks)

CP-3.4 · Find invariant points and lines for a linear transformation.

Explanation

  • An invariant point is fixed by the transformation. For matrix AA, its position vector satisfies Ax=xA\mathbf x=\mathbf x, so solve (AI)x=0(A-I)\mathbf x=\mathbf0.
  • An invariant line is mapped onto itself as a set, although individual points on it may move.
  • To test y=mx+cy=mx+c, transform a general point (x,mx+c)(x,mx+c) to (X,Y)(X,Y) and require Y=mX+cY=mX+c for every xx; equate coefficients and constants.
  • Vertical lines must be checked separately because they cannot be written in gradient-intercept form.
  • A line consisting entirely of invariant points is stronger than an invariant line, so the two descriptions must not be confused.

Worked example

The transformation maps (x,y)(x,y) to (2x,y)(2x,y). Find its invariant points and invariant coordinate axes.

  1. 1.Invariant points satisfy (2x,y)=(x,y)(2x,y)=(x,y), so x=0x=0.
  2. 2.Hence every point on the yy-axis is fixed.
  3. 3.A point (x,0)(x,0) maps to (2x,0)(2x,0), so the xx-axis is invariant as a set.
  4. 4.The yy-axis is both invariant and a line of invariant points.

Answer: All invariant points lie on x=0x=0; both coordinate axes are invariant lines.

Common mistakes

  • Don't fall into the trap of calling every point on an invariant line fixed when points may move along that line.
  • Don't fall into the trap of testing one convenient point instead of a general point on a proposed invariant line.
  • Don't fall into the trap of omitting possible vertical invariant lines after considering only y=mx+cy=mx+c.

Exam tip

State separately whether the result is an invariant line or a line whose every point is invariant.

Tier 1 · Easy

  1. 1.

    Find all invariant points of the transformation with matrix A=(1003)A=\begin{pmatrix}1&0\\0&3\end{pmatrix}.

    (3)

    (Total for Question 1 is 3 marks)

  2. 2.

    The matrix Ak=(3k12)A_k=\begin{pmatrix}3&k\\1&2\end{pmatrix}, where kk is a constant, represents a transformation. (a) Find the value of kk for which the line y=xy=x is invariant. (b) Determine whether the line consists entirely of invariant points, justifying your answer.

    (3)

    (Total for Question 2 is 3 marks)

Tier 2 · Standard

  1. 1.

    Find the invariant lines through the origin for the transformation with matrix B=(2101)B=\begin{pmatrix}2&1\\0&1\end{pmatrix}.

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    The matrix At=(011t)A_t=\begin{pmatrix}0&-1\\1&t\end{pmatrix}, where tt is a constant, has exactly one invariant line through the origin. Determine the possible values of tt and give the equation of the line in each case.

    (4)

    (Total for Question 2 is 4 marks)

  3. 3.

    The matrix Ak=(k234)A_k=\begin{pmatrix}k&2\\3&4\end{pmatrix} represents a transformation, where kk is real. Determine the value of kk for which there are non-zero invariant points. For this value of kk, find all invariant lines through the origin and state which line consists entirely of invariant points.

    (5)

    (Total for Question 3 is 5 marks)

Tier 3 · Hard

  1. 1.

    The transformation TT maps (x,y)(x,y) to (x+y,2y)(x+y,2y). Find all invariant straight lines and identify any line consisting entirely of invariant points.

    (6)

    (Total for Question 1 is 6 marks)

  2. 2.

    Determine the equations of all the invariant lines of the transformation that maps (x,y)(x,y) to (kx+2y,5y)(kx+2y,5y), where kk is a real constant.

    (7)

    (Total for Question 2 is 7 marks)

  3. 3.

    The transformation TkT_k has matrix (6k12)\begin{pmatrix}6&k\\-1&2\end{pmatrix}, where kk is real. For every value of kk, determine the number and equations of the invariant lines through the origin. State when any such line consists entirely of invariant points.

    (7)

    (Total for Question 3 is 7 marks)

  4. 4.

    A linear transformation TT multiplies every vector parallel to y=3xy=3x by 22 and every vector parallel to y=2xy=-2x by 33. Determine the matrix of TT. The line LL has equation y=x+4y=x+4. Determine whether any point of LL is invariant, justifying your answer.

    (7)

    (Total for Question 4 is 7 marks)

  5. 5.

    The singular transformation TT has matrix A=(2613)A=\begin{pmatrix}2&6\\1&3\end{pmatrix}. Determine all invariant straight lines. For each invariant line, describe how TT acts on its points.

    (8)

    (Total for Question 5 is 8 marks)

CP-3.5 · Calculate determinants of 2x2 and 3x3 matrices and interpret as scale factors, including the effect on orientation.

Explanation

  • For A=(abcd)A=\begin{pmatrix}a&b\\c&d\end{pmatrix}, $\det A=ad-bc$. A 3×33\times3 determinant may be evaluated by cofactor expansion, keeping the alternating signs.
  • Under a two-dimensional linear transformation, area is multiplied by detA|\det A|; in three dimensions, volume is multiplied by detA|\det A|.
  • The determinant's sign records orientation: a positive determinant preserves orientation and a negative determinant reverses it.
  • A zero determinant collapses dimension and gives zero area or volume scale factor.
  • Geometric sizes are never negative, so use the absolute value when calculating image area or volume.

Worked example

A transformation has matrix A=(3121)A=\begin{pmatrix}3&1\\2&-1\end{pmatrix}. Find the image area of a region of area 99 and describe orientation.

  1. 1.detA=3(1)1(2)=5\det A=3(-1)-1(2)=-5.
  2. 2.The area scale factor is 5=5|-5|=5.
  3. 3.The image area is 9×5=459\times5=45.
  4. 4.The negative determinant reverses orientation.

Answer: Image area 4545 square units; orientation is reversed.

Common mistakes

  • Don't fall into the trap of using ad+bcad+bc instead of adbcad-bc for a 2×22\times2 determinant.
  • Don't fall into the trap of reporting a negative area because the determinant is negative.
  • Don't fall into the trap of ignoring the alternating signs during a 3×33\times3 cofactor expansion.

Exam tip

Keep the signed determinant for orientation, but use its absolute value for an area or volume scale factor.

Tier 1 · Easy

  1. 1.

    A planar transformation has matrix A=(1423)A=\begin{pmatrix}1&4\\2&3\end{pmatrix}. A region has area 1212 before transformation. Find its image area and state what happens to orientation.

    (3)

    (Total for Question 1 is 3 marks)

  2. 2.

    The matrix (2346)\begin{pmatrix}2&3\\4&6\end{pmatrix} represents a planar transformation. Find the image area of a region whose original area is 77, and describe the image geometrically.

    (3)

    (Total for Question 2 is 3 marks)

Tier 2 · Standard

  1. 1.

    Calculate the determinant of M=(120131201)M=\begin{pmatrix}1&2&0\\-1&3&1\\2&0&1\end{pmatrix}. Hence state the volume scale factor and the effect on orientation.

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    A transformation RR has determinant 2-2 and is followed by a transformation SS. Their combination maps an area of 55 to an area of 3030 and reverses orientation. Determine detS\det S and state whether SS itself preserves orientation.

    (4)

    (Total for Question 2 is 4 marks)

  3. 3.

    The matrix B=(210132401)B=\begin{pmatrix}2&1&0\\1&-3&2\\-4&0&1\end{pmatrix} represents a three-dimensional transformation. Calculate detB\det B by cofactor expansion, state the effect on orientation, and find the image volume of a solid whose original volume is 44.

    (4)

    (Total for Question 3 is 4 marks)

Tier 3 · Hard

  1. 1.

    A transformation has matrix P=(k23k1)P=\begin{pmatrix}k&2\\3&k-1\end{pmatrix}. A triangle of area 77 is mapped to a triangle of area 4242. Determine all possible values of kk and state which values reverse orientation.

    (5)

    (Total for Question 1 is 5 marks)

  2. 2.

    A three-dimensional transformation has matrix Ak=(k10211012)A_k=\begin{pmatrix}k&1&0\\2&1&1\\0&1&2\end{pmatrix} and is followed by B=(100010002)B=\begin{pmatrix}1&0&0\\0&-1&0\\0&0&2\end{pmatrix}. A solid of volume 33 is mapped to volume 3030, with orientation preserved. Determine the real value of kk.

    (6)

    (Total for Question 2 is 6 marks)

  3. 3.

    The matrix Ah=(10h0h4122)A_h=\begin{pmatrix}1&0&h\\0&h&4\\-1&2&-2\end{pmatrix} represents a three-dimensional transformation, where hh is real. Find the set of values of hh for which the transformation is singular. Find the value of h>0h>0 for which a solid of volume 33 is mapped to a solid of volume 2424 with its orientation reversed.

    (6)

    (Total for Question 3 is 6 marks)

  4. 4.

    A planar linear transformation TT maps u=(12)\mathbf u=\begin{pmatrix}1\\2\end{pmatrix} to (32)\begin{pmatrix}3\\-2\end{pmatrix} and v=(31)\mathbf v=\begin{pmatrix}3\\-1\end{pmatrix} to (13)\begin{pmatrix}1\\3\end{pmatrix}. Find the determinant of the matrix of TT. Hence find the image area of a region of area 1414 and state the effect on orientation.

    (6)

    (Total for Question 4 is 6 marks)

  5. 5.

    A planar transformation has matrix Mk=(k23k)M_k=\begin{pmatrix}k&2\\3&k\end{pmatrix}, where kk is real. Find the set of possible values of kk for which every finite region has a smaller image area and orientation is reversed.

    (6)

    (Total for Question 5 is 6 marks)

CP-3.6 · Understand and use singular and non-singular matrices. Properties of inverse matrices. Calculate and use the inverse of non-singular 2x2 and 3x3 matrices.

Explanation

  • A square matrix is singular when its determinant is zero; it then has no inverse. A non-singular matrix has non-zero determinant and a unique inverse satisfying AA1=A1A=IAA^{-1}=A^{-1}A=I.
  • For A=(abcd)A=\begin{pmatrix}a&b\\c&d\end{pmatrix}, A1=1adbc(dbca)A^{-1}=\dfrac1{ad-bc}\begin{pmatrix}d&-b\\-c&a\end{pmatrix}. A 3×33\times3 inverse can be found by row-reducing (AI)(A\mid I) to (IA1)(I\mid A^{-1}), by an adjugate method or by calculator when permitted, but the process must be understood.
  • Useful properties include (AB)1=B1A1(AB)^{-1}=B^{-1}A^{-1} and (A1)1=A(A^{-1})^{-1}=A.
  • Matrix order matters, so inverse factors reverse order.
  • Calculator output should still be checked by multiplying by the original matrix.

Worked example

Find the inverse of A=(4131)A=\begin{pmatrix}4&1\\3&1\end{pmatrix} and verify one product.

  1. 1.detA=4(1)1(3)=1\det A=4(1)-1(3)=1, so AA is non-singular.
  2. 2.Interchange the diagonal entries and negate the off-diagonal entries.
  3. 3.A1=(1134)A^{-1}=\begin{pmatrix}1&-1\\-3&4\end{pmatrix}.
  4. 4.Multiplication gives AA1=IAA^{-1}=I.

Answer: A1=(1134)A^{-1}=\begin{pmatrix}1&-1\\-3&4\end{pmatrix}.

Common mistakes

  • Don't fall into the trap of attempting to invert a matrix whose determinant is zero.
  • Don't fall into the trap of dividing the original entries by the determinant without swapping and negating the required entries.
  • Don't fall into the trap of writing (AB)1=A1B1(AB)^{-1}=A^{-1}B^{-1} instead of reversing the factor order.

Exam tip

Calculate and display the determinant before applying an inverse formula, then check the result against the identity matrix.

Tier 1 · Easy

  1. 1.

    Show that A=(3121)A=\begin{pmatrix}3&1\\2&1\end{pmatrix} is non-singular and find A1A^{-1}.

    (3)

    (Total for Question 1 is 3 marks)

  2. 2.

    The matrix M=(k+142k1)M=\begin{pmatrix}k+1&4\\2&k-1\end{pmatrix} is singular. Find the possible values of kk.

    (3)

    (Total for Question 2 is 3 marks)

Tier 2 · Standard

  1. 1.

    Find the inverse of C=(110011101)C=\begin{pmatrix}1&1&0\\0&1&1\\1&0&1\end{pmatrix}.

    (5)

    (Total for Question 1 is 5 marks)

  2. 2.

    The non-singular matrix AA has A1=(1101)A^{-1}=\begin{pmatrix}1&-1\\0&1\end{pmatrix}. Solve the matrix equation XA=(2314)XA=\begin{pmatrix}2&3\\1&4\end{pmatrix} for XX.

    (4)

    (Total for Question 2 is 4 marks)

  3. 3.

    Non-singular matrices AA and BB satisfy A1=(1201)A^{-1}=\begin{pmatrix}1&2\\0&1\end{pmatrix} and B1=(2011)B^{-1}=\begin{pmatrix}2&0\\-1&1\end{pmatrix}. Use the inverse of a product to solve ABx=(31)AB\mathbf x=\begin{pmatrix}3\\-1\end{pmatrix}.

    (5)

    (Total for Question 3 is 5 marks)

Tier 3 · Hard

  1. 1.

    The matrix D=(2132)D=\begin{pmatrix}2&1\\3&2\end{pmatrix} satisfies D24D+I=OD^2-4D+I=O. Use this identity, rather than the 2×22\times2 inverse formula, to find D1D^{-1}.

    (5)

    (Total for Question 1 is 5 marks)

  2. 2.

    Let A=(2111)A=\begin{pmatrix}2&1\\1&1\end{pmatrix} and B=(1011)B=\begin{pmatrix}1&0\\1&1\end{pmatrix}. Find the matrix XX satisfying AXB=(4130)AXB=\begin{pmatrix}4&-1\\3&0\end{pmatrix}.

    (6)

    (Total for Question 2 is 6 marks)

  3. 3.

    Let A=(1102)A=\begin{pmatrix}1&1\\0&2\end{pmatrix} and B=(0110)B=\begin{pmatrix}0&1\\1&0\end{pmatrix}. Define X=IABX=I-AB and Y=IBAY=I-BA. Show that XA=AYXA=AY, and hence find X1AX^{-1}A.

    (5)

    (Total for Question 3 is 5 marks)

  4. 4.

    Let A=(211123312)A=\begin{pmatrix}2&1&1\\1&2&3\\3&1&2\end{pmatrix}. Find A1A^{-1} and hence solve AX=(71144113)AX=\begin{pmatrix}7&1\\14&4\\11&3\end{pmatrix} for the 3×23\times2 matrix XX. Verify your answer.

    (6)

    (Total for Question 4 is 6 marks)

  5. 5.

    Let A=(3111)A=\begin{pmatrix}3&1\\1&1\end{pmatrix} and B=(2101)B=\begin{pmatrix}2&1\\0&1\end{pmatrix}. Calculate (A1+B1)1(A^{-1}+B^{-1})^{-1}. Calculate also A(A+B)1BA(A+B)^{-1}B and verify that the two matrices are equal.

    (7)

    (Total for Question 5 is 7 marks)

CP-3.7 · Solve three linear simultaneous equations in three variables by use of the inverse matrix.

Explanation

  • Write three linear equations in the form Ax=bA\mathbf x=\mathbf b, where each row of AA contains the coefficients of x,y,zx,y,z in the same order and b\mathbf b contains the corresponding right-hand sides.
  • If AA is non-singular, left-multiply by A1A^{-1} to obtain x=A1b\mathbf x=A^{-1}\mathbf b.
  • The inverse may be calculated exactly or by calculator as permitted, but the matrix equation and multiplication order should be shown.
  • A zero coefficient must still occupy its correct position.
  • The resulting values should be checked in the original equations, since a transposed coefficient or misplaced constant can produce a plausible but incorrect matrix calculation.

Worked example

Use A1=(111011001)A^{-1}=\begin{pmatrix}1&-1&1\\0&1&-1\\0&0&1\end{pmatrix} to solve Ax=(641)A\mathbf x=\begin{pmatrix}6\\4\\1\end{pmatrix}.

  1. 1.Left-multiply by A1A^{-1}: x=A1b\mathbf x=A^{-1}\mathbf b.
  2. 2.x=64+1=3x=6-4+1=3.
  3. 3.y=41=3y=4-1=3 and z=1z=1.

Answer: (x,y,z)=(3,3,1)(x,y,z)=(3,3,1).

Common mistakes

  • Don't fall into the trap of writing x=bA1\mathbf x=\mathbf bA^{-1} even though b\mathbf b is a column vector.
  • Don't fall into the trap of changing the order of variables between different coefficient rows.
  • Don't fall into the trap of omitting a zero entry for a variable absent from one equation.

Exam tip

Display AA, x\mathbf x and b\mathbf b before using the inverse so coefficient placement earns method credit.

Tier 1 · Easy

  1. 1.

    A system is written as A(xyz)=(426)A\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}4\\2\\6\end{pmatrix}, where A1=12(111111111)A^{-1}=\frac12\begin{pmatrix}1&-1&1\\1&1&-1\\-1&1&1\end{pmatrix}. Find x,y,zx,y,z.

    (3)

    (Total for Question 1 is 3 marks)

  2. 2.

    (a) Write 2x+z=52x+z=5, xy=0x-y=0 and 3y+2z=73y+2z=7 in the form Ax=bA\mathbf{x}=\mathbf{b}, where x=(x,y,z)T\mathbf{x}=(x,y,z)^T, stating AA and b\mathbf{b}. (b) Given A1=(231241362)A^{-1}=\begin{pmatrix}2&-3&-1\\2&-4&-1\\-3&6&2\end{pmatrix}, find xx, yy and zz.

    (4)

    (Total for Question 2 is 4 marks)

Tier 2 · Standard

  1. 1.

    Use an inverse matrix to solve x+2y=5x+2y=5, y+z=4y+z=4 and z=3z=3.

    (5)

    (Total for Question 1 is 5 marks)

  2. 2.

    Let Ak=(1114k2123)A_k=\begin{pmatrix}1&1&1\\4&k&2\\1&2&3\end{pmatrix}. AkA_k maps (1,1,1)T(1,1,1)^T to (3,10,6)T(3,10,6)^T. (a) Find the value of kk. (b) Given that AkA_k maps (x,y,z)T(x,y,z)^T to (6,22,10)T(6,22,10)^T, use an inverse matrix to find the values of xx, yy and zz.

    (6)

    (Total for Question 2 is 6 marks)

  3. 3.

    A notebook costs xx pounds, a pen costs yy pounds and a folder costs zz pounds. Two notebooks, one pen and one folder cost £13. One notebook, three pens and two folders cost £19. Three notebooks, two pens and one folder cost £18. Use an inverse matrix to find xx, yy and zz. Hence find the cost of one notebook, two pens and three folders.

    (6)

    (Total for Question 3 is 6 marks)

Tier 3 · Hard

  1. 1.

    The equations x+y=px+y=p, y+z=5y+z=5 and 2z=82z=8 have a solution satisfying x+y=zx+y=z. Use an inverse matrix to determine pp and the solution.

    (6)

    (Total for Question 1 is 6 marks)

  2. 2.

    The quadratic q(t)=x+yt+zt2q(t)=x+yt+zt^2 satisfies q(0)=2q(0)=2, q(2)=9q(2)=9 and q(3)=20q(3)=20. Use an inverse matrix to find xx, yy and zz, and hence determine q(1)q(1).

    (7)

    (Total for Question 2 is 7 marks)

  3. 3.

    The equations x+y+z=4x+y+z=4, x+2y=113px+2y=11-3p and y+2z=1y+2z=1 are given, where pp is real. Use an inverse matrix to express xx, yy and zz in terms of pp. Hence find the set of possible values of pp for which xx, yy and zz are all positive.

    (7)

    (Total for Question 3 is 7 marks)

  4. 4.

    Let A=(011101111)A=\begin{pmatrix}0&1&1\\1&0&1\\1&1&1\end{pmatrix}. Find A1A^{-1} and hence solve both A(xyz)=(302842)A\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}30\\28\\42\end{pmatrix} and A(pqr)=(444061)A\begin{pmatrix}p\\q\\r\end{pmatrix}=\begin{pmatrix}44\\40\\61\end{pmatrix}.

    (7)

    (Total for Question 4 is 7 marks)

  5. 5.

    The plane z=ax+by+cz=ax+by+c contains the points (1,0,5)(1,0,5), (0,2,1)(0,2,1) and (2,1,8)(2,-1,8). Use an inverse matrix to find the values of aa, bb and cc. Find the value of zz at (x,y)=(3,4)(x,y)=(3,4) and find where the plane meets the line x=yx=y, z=0z=0.

    (7)

    (Total for Question 5 is 7 marks)

CP-3.8 · Interpret geometrically the solution and failure of solution of three simultaneous linear equations.

Explanation

  • Each linear equation in three variables represents a plane in three-dimensional space. Three independent planes meeting at one point give a unique solution.
  • If all three contain the same line, they form a sheaf and every point on that line is a solution. Coincident planes can also produce infinitely many solutions.
  • A prism arrangement has pairwise intersection lines but no point common to all three, so the system is inconsistent; parallel distinct planes are another no-solution case.
  • Algebraically, a contradictory row after elimination signals inconsistency, while a dependent equation without contradiction leaves free variables.
  • A singular coefficient matrix therefore does not by itself distinguish no solution from infinitely many solutions.
Sketches of a unique solution, a sheaf of planes and an inconsistent prism.

Worked example

The third equation of a system is the sum of the first two. Interpret the solution geometrically if the first two planes intersect.

  1. 1.Every point satisfying the first two equations also satisfies their sum.
  2. 2.The first two non-parallel planes meet in a line.
  3. 3.The third plane contains that complete intersection line.

Answer: The planes form a sheaf with infinitely many solutions along their common line.

Common mistakes

  • Don't fall into the trap of saying a singular coefficient matrix always means no solution.
  • Don't fall into the trap of calling three pairwise-intersecting planes a unique solution without checking for one common point.
  • Don't fall into the trap of describing coincident planes as distinct parallel planes and therefore inconsistent.

Exam tip

Link the algebraic outcome explicitly to one point, a common line or no common point in the geometric interpretation.

Tier 1 · Easy

  1. 1.

    Interpret geometrically the solution of the three equations x=1x=1, y=2y=2 and z=3z=-3.

    (2)

    (Total for Question 1 is 2 marks)

  2. 2.

    The planes x=1x=1, y=2y=2 and x+y+kz=3x+y+kz=3, where kk is a constant, are given. Determine when they form a sheaf and when they meet at a unique point. Give the common line or point in each case.

    (3)

    (Total for Question 2 is 3 marks)

Tier 2 · Standard

  1. 1.

    Consider x+y+z=1x+y+z=1, 2x+2y+2z=k2x+2y+2z=k and xy+z=3x-y+z=3. Describe the solution set geometrically when k=2k=2 and when k2k\ne2.

    (4)

    (Total for Question 1 is 4 marks)

  2. 2.

    The planes x+y=2x+y=2, y+z=1y+z=1 and x+ky+3z=4x+ky+3z=4, where kk is a constant, are given. Determine the coordinates of the point where the three planes intersect, giving each coordinate in simplest form in terms of kk. State the value of kk for which no such point exists and interpret that case geometrically.

    (5)

    (Total for Question 2 is 5 marks)

  3. 3.

    Find the set of solutions of the three plane equations x+2yz=3x+2y-z=3, 3xy+2z=23x-y+2z=2 and x+5y4z=4-x+5y-4z=4. Give a vector equation for the solution set and interpret the result geometrically.

    (5)

    (Total for Question 3 is 5 marks)

Tier 3 · Hard

  1. 1.

    The planes x+y+z=2x+y+z=2, 2xy+z=12x-y+z=1 and 3x+2z=k3x+2z=k are given. Determine the value of kk for which the three planes contain a common line. State what happens for every other value of kk.

    (5)

    (Total for Question 1 is 5 marks)

  2. 2.

    The planes x+z=2x+z=2, y+z=1y+z=1 and x+(32k)y+(k25k+6)z=k+2x+(3-2k)y+(k^2-5k+6)z=k+2, where kk is a constant, are given. Determine whether they meet at a unique point, form a sheaf or form a prism.

    (6)

    (Total for Question 2 is 6 marks)

  3. 3.

    The planes Π1\Pi_1, Π2\Pi_2 and Π3\Pi_3 have equations x+2z=4x+2z=4, 2yz=12y-z=-1 and x+2y+z=8x+2y+z=8 respectively. Find a vector equation for each of the three pairwise intersection lines. Hence determine whether the planes have a common point and interpret their geometric arrangement.

    (7)

    (Total for Question 3 is 7 marks)

  4. 4.

    The planes Π1\Pi_1, Π2\Pi_2 and Π3\Pi_3 have equations x+y=8x+y=8, y+z=3y+z=-3 and (k213k+43)x+(k5)y+(k6)z=c(k^2-13k+43)x+(k-5)y+(k-6)z=c respectively, where kk and cc are real. Describe how the three planes meet for all values of kk and cc. Give a vector equation whenever their common solution is a line.

    (8)

    (Total for Question 4 is 8 marks)

Answer key

Answers begin on a new printed page so the question pack can be completed without the solutions alongside it.

CP-3.1 · Add, subtract and multiply conformable matrices. Multiply a matrix by a scalar.

Tier 1 · Easy

Mark scheme for CP-3.1 Tier 1 · Easy
QuestionSchemeMarks
1
  • (5645)\begin{pmatrix}5&-6\\4&-5\end{pmatrix}
2
(2 marks)2
Notes
2A=(4260)2A=\begin{pmatrix}4&-2\\6&0\end{pmatrix}. Subtract corresponding entries of BB: 2AB=(4(1)246205)=(5645)2A-B=\begin{pmatrix}4-(-1)&-2-4\\6-2&0-5\end{pmatrix}=\begin{pmatrix}5&-6\\4&-5\end{pmatrix}.
2
  • UV=(6834)UV=\begin{pmatrix}6&8\\-3&-4\end{pmatrix}
  • UVUV has order 2×22\times2
  • VU=(2)VU=\begin{pmatrix}2\end{pmatrix}, of order 1×11\times1
3
(3 marks)3
Notes
UU is 2×12\times1 and VV is 1×21\times2, so both products exist but have different outer dimensions. The outer product is UV=(2(3)2(4)1(3)1(4))=(6834)UV=\begin{pmatrix}2(3)&2(4)\\-1(3)&-1(4)\end{pmatrix}=\begin{pmatrix}6&8\\-3&-4\end{pmatrix}. Reversing the order gives the scalar product VU=(3(2)+4(1))=(2)VU=\begin{pmatrix}3(2)+4(-1)\end{pmatrix}=\begin{pmatrix}2\end{pmatrix}, so the products cannot be equal.

Tier 2 · Standard

Mark scheme for CP-3.1 Tier 2 · Standard
QuestionSchemeMarks
1
  • CD=(39312)CD=\begin{pmatrix}-3&9\\3&12\end{pmatrix}, of order 2×22\times2
4
(4 marks)4
Notes
CC is 2×32\times3 and DD is 3×23\times2, so CDCD exists and is 2×22\times2. Taking row-column products gives CD=(1(2)+2(1)+(1)31(1)+2(4)+(1)00(2)+3(1)+2(3)0(1)+3(4)+2(0))=(39312)CD=\begin{pmatrix}1(2)+2(-1)+(-1)3&1(1)+2(4)+(-1)0\\0(2)+3(-1)+2(3)&0(1)+3(4)+2(0)\end{pmatrix}=\begin{pmatrix}-3&9\\3&12\end{pmatrix}.
2
  • AB=(44)AB=\begin{pmatrix}4\\-4\end{pmatrix}
  • (AB)C=(416416)(AB)C=\begin{pmatrix}4&16\\-4&-16\end{pmatrix}
  • BC=(281414)BC=\begin{pmatrix}2&8\\-1&-4\\1&4\end{pmatrix}
  • A(BC)=(416416)A(BC)=\begin{pmatrix}4&16\\-4&-16\end{pmatrix}
4
(4 marks)4
Notes
AB=(44)AB=\begin{pmatrix}4\\-4\end{pmatrix}, so (AB)C=(44)(14)=(416416)(AB)C=\begin{pmatrix}4\\-4\end{pmatrix}\begin{pmatrix}1&4\end{pmatrix}=\begin{pmatrix}4&16\\-4&-16\end{pmatrix}. Alternatively, BC=(281414)BC=\begin{pmatrix}2&8\\-1&-4\\1&4\end{pmatrix} and row-column multiplication gives A(BC)=(416416)A(BC)=\begin{pmatrix}4&16\\-4&-16\end{pmatrix}. The intermediate orders differ, but both complete products are conformable 2×22\times2 matrices.
3
  • AB=(7120)AB=\begin{pmatrix}7&-1\\-2&0\end{pmatrix}
  • BA=(3724)BA=\begin{pmatrix}3&7\\2&4\end{pmatrix}
  • C=(4844)C=\begin{pmatrix}4&-8\\-4&-4\end{pmatrix}
  • C2=(480048)=48IC^2=\begin{pmatrix}48&0\\0&48\end{pmatrix}=48I
4
(4 marks)4
Notes
Row-column multiplication gives AB=(7120)AB=\begin{pmatrix}7&-1\\-2&0\end{pmatrix} and BA=(3724)BA=\begin{pmatrix}3&7\\2&4\end{pmatrix}. Therefore C=ABBA=(4844)C=AB-BA=\begin{pmatrix}4&-8\\-4&-4\end{pmatrix}. Multiplying this matrix by itself gives C2=(480048)=48IC^2=\begin{pmatrix}48&0\\0&48\end{pmatrix}=48I.

Tier 3 · Hard

Mark scheme for CP-3.1 Tier 3 · Hard
QuestionSchemeMarks
1
  • p=4p=4, q=3q=3
4
(4 marks)4
Notes
AB=(p+212q3p3)AB=\begin{pmatrix}p+2&1-2q\\3p&3\end{pmatrix}, so AB+2A=(p+432q3p+63)AB+2A=\begin{pmatrix}p+4&-3-2q\\3p+6&3\end{pmatrix}. Equating entries gives p+4=8p+4=8, so p=4p=4, and 32q=9-3-2q=-9, so q=3q=3. The lower-left entry checks this because 3(4)+6=183(4)+6=18.
2
  • u1=1u-1=1
  • u=2u=2
  • v+1=4v+1=-4
  • v=5v=-5
  • BABA has order 3×33\times3 and ABAB has order 2×22\times2
5
(5 marks)5
Notes
Multiplication in the stated order gives AB=(2u1v+10)AB=\begin{pmatrix}2&u-1\\v+1&0\end{pmatrix}. Comparing entries with the given matrix yields u1=1u-1=1 and v+1=4v+1=-4, so u=2u=2 and v=5v=-5. Since BB is 3×23\times2 and AA is 2×32\times3, BABA has order 3×33\times3; the stated product ABAB has order 2×22\times2.
3
  • AX=(ab2c2d)AX=\begin{pmatrix}a&b\\2c&2d\end{pmatrix}
  • XB=(badc)XB=\begin{pmatrix}-b&a\\-d&c\end{pmatrix}
  • ab=3a-b=3 and a+b=1a+b=1
  • a=2a=2 and b=1b=-1
  • 2cd=52c-d=5 and c+2d=5c+2d=5
  • X=(2131)X=\begin{pmatrix}2&-1\\3&1\end{pmatrix}
6
(6 marks)6
Notes
The two products are AX=(ab2c2d)AX=\begin{pmatrix}a&b\\2c&2d\end{pmatrix} and XB=(badc)XB=\begin{pmatrix}-b&a\\-d&c\end{pmatrix}. Equating the first row of their sum gives ab=3a-b=3 and a+b=1a+b=1, so a=2a=2 and b=1b=-1. The second row gives 2cd=52c-d=5 and c+2d=5c+2d=5, whose solution is c=3c=3 and d=1d=1. Hence X=(2131)X=\begin{pmatrix}2&-1\\3&1\end{pmatrix}.
4
  • pA+qB=(p2p+qp+3q2q)pA+qB=\begin{pmatrix}p&2p+q\\-p+3q&-2q\end{pmatrix}
  • p=2p=2
  • 2p+q=32p+q=3
  • q=1q=-1
  • B+C=(2420)B+C=\begin{pmatrix}2&4\\-2&0\end{pmatrix}
  • A(B+C)=(2424)A(B+C)=\begin{pmatrix}-2&4\\-2&-4\end{pmatrix}
6
(6 marks)6
Notes
The linear combination is pA+qB=(p2p+qp+3q2q)pA+qB=\begin{pmatrix}p&2p+q\\-p+3q&-2q\end{pmatrix}. Comparing top-left entries with CC gives p=2p=2, and the top-right entries then give 2p+q=32p+q=3, so q=1q=-1. The lower entries confirm these values, since p+3q=5-p+3q=-5 and 2q=2-2q=2. Also B+C=(2420)B+C=\begin{pmatrix}2&4\\-2&0\end{pmatrix}, so A(B+C)=(2424)A(B+C)=\begin{pmatrix}-2&4\\-2&-4\end{pmatrix}.
5
  • A+B=(2212)A+B=\begin{pmatrix}2&2\\-1&2\end{pmatrix}
  • (A+B)2=(2842)(A+B)^2=\begin{pmatrix}2&8\\-4&2\end{pmatrix}
  • AB=(2524)AB=\begin{pmatrix}2&5\\-2&4\end{pmatrix}
  • A2+2AB+B2=(11033)A^2+2AB+B^2=\begin{pmatrix}1&10\\-3&3\end{pmatrix}
  • (A+B)2=A2+AB+BA+B2(A+B)^2=A^2+AB+BA+B^2
  • BA=(3333)ABBA=\begin{pmatrix}3&3\\-3&3\end{pmatrix}\ne AB, so AB+BA2ABAB+BA\ne2AB
6
(6 marks)6
Notes
First, A+B=(2212)A+B=\begin{pmatrix}2&2\\-1&2\end{pmatrix}, so (A+B)2=(2842)(A+B)^2=\begin{pmatrix}2&8\\-4&2\end{pmatrix}. Direct calculation gives AB=(2524)AB=\begin{pmatrix}2&5\\-2&4\end{pmatrix} and A2+2AB+B2=(11033)A^2+2AB+B^2=\begin{pmatrix}1&10\\-3&3\end{pmatrix}. The correct expansion is (A+B)2=A2+AB+BA+B2(A+B)^2=A^2+AB+BA+B^2. Here BA=(3333)ABBA=\begin{pmatrix}3&3\\-3&3\end{pmatrix}\ne AB, so the two middle terms cannot be replaced by 2AB2AB.

CP-3.2 · Understand and use zero and identity matrices.

Tier 1 · Easy

Mark scheme for CP-3.2 Tier 1 · Easy
QuestionSchemeMarks
1
  • A+O=IA=(2103)A+O=IA=\begin{pmatrix}2&-1\\0&3\end{pmatrix}
2
(2 marks)2
Notes
The 2×22\times2 zero matrix leaves AA unchanged under addition, and the 2×22\times2 identity leaves AA unchanged under multiplication. Hence both results equal AA.
2
  • (I+N)2=I+2N(I+N)^2=I+2N
  • (I+N)3=I+3N+2N2(I+N)^3=I+3N+2N^2
  • (I+N)3=I+3N(I+N)^3=I+3N
3
(3 marks)3
Notes
Since N2=ON^2=O, (I+N)2=I+N+N+N2=I+2N(I+N)^2=I+N+N+N^2=I+2N. Then (I+N)3=(I+2N)(I+N)=I+3N+2N2=I+3N(I+N)^3=(I+2N)(I+N)=I+3N+2N^2=I+3N.

Tier 2 · Standard

Mark scheme for CP-3.2 Tier 2 · Standard
QuestionSchemeMarks
1
  • A23A+2I=OA^2-3A+2I=O
3
(3 marks)3
Notes
AI=(0101)A-I=\begin{pmatrix}0&1\\0&1\end{pmatrix} and A2I=(1100)A-2I=\begin{pmatrix}-1&1\\0&0\end{pmatrix}. Their product is OO. Expanding (AI)(A2I)(A-I)(A-2I) gives A23A+2IA^2-3A+2I, so A23A+2I=OA^2-3A+2I=O.
2
  • P3=IP^3=-I
  • P4=PP^4=-P
  • P5=IPP^5=I-P
  • P6=IP^6=I
4
(4 marks)4
Notes
From P2=PIP^2=P-I, P3=P2P=(PI)P=IP^3=P^2-P=(P-I)-P=-I. Squaring this exact matrix identity gives P6=(I)2=IP^6=(-I)^2=I. Equivalently, continuing the recurrence gives P4=PP^4=-P, P5=IPP^5=I-P and P6=IP^6=I, which checks the reduction.
3
  • S2=4E24E+IS^2=4E^2-4E+I
  • S2=IS^2=I
  • S2027=(S2)1013SS^{2027}=(S^2)^{1013}S
  • S2027=2EIS^{2027}=2E-I
4
(4 marks)4
Notes
S2=(2EI)2=4E24E+IS^2=(2E-I)^2=4E^2-4E+I. Using E2=EE^2=E gives S2=IS^2=I. Since 2027=2(1013)+12027=2(1013)+1, S2027=(S2)1013S=I1013S=2EIS^{2027}=(S^2)^{1013}S=I^{1013}S=2E-I.

Tier 3 · Hard

Mark scheme for CP-3.2 Tier 3 · Hard
QuestionSchemeMarks
1
  • 2I-2I
4
(4 marks)4
Notes
Multiply the given identity by MM: M3=3M2+2M=3(3M+2I)+2M=11M+6IM^3=3M^2+2M=3(3M+2I)+2M=11M+6I. Therefore M34M2+M=(11M+6I)4(3M+2I)+M=2IM^3-4M^2+M=(11M+6I)-4(3M+2I)+M=-2I.
2
  • (Q+I)2=6Q(Q+I)^2=6Q
  • u=6u=6
  • v=0v=0
  • (Q+I)4=144Q36I(Q+I)^4=144Q-36I
  • w=144w=144
  • t=36t=-36
6
(6 marks)6
Notes
Using Q2=4QIQ^2=4Q-I, (Q+I)2=Q2+2Q+I=6Q(Q+I)^2=Q^2+2Q+I=6Q, so u=6u=6 and v=0v=0. Hence (Q+I)4=(6Q)2=36Q2=36(4QI)=144Q36I(Q+I)^4=(6Q)^2=36Q^2=36(4Q-I)=144Q-36I, giving w=144w=144 and t=36t=-36.
3
  • K4=K(K+I)K^4=K(K+I)
  • K4=K2+KK^4=K^2+K
  • K5=K(K2+K)K^5=K(K^2+K)
  • K5=K3+K2K^5=K^3+K^2
  • K5=K2+K+IK^5=K^2+K+I
  • a=1a=1, b=1b=1 and c=1c=1
6
(6 marks)6
Notes
Multiplying K3=K+IK^3=K+I by KK gives K4=K2+KK^4=K^2+K. Multiplying again gives K5=K3+K2K^5=K^3+K^2. Substituting the original relation then gives K5=K2+K+IK^5=K^2+K+I, so a=b=c=1a=b=c=1.
4
  • AB=(q23r2q462r)AB=\begin{pmatrix}q-2&3-r\\2q-4&6-2r\end{pmatrix}
  • q2=0q-2=0
  • q=2q=2
  • 3r=03-r=0
  • r=3r=3
  • BA=(8888)BA=\begin{pmatrix}8&-8\\8&-8\end{pmatrix}
  • AB=OAB=O does not imply that BA=OBA=O
7
(7 marks)7
Notes
Multiplication in the stated order gives AB=(q23r2q462r)AB=\begin{pmatrix}q-2&3-r\\2q-4&6-2r\end{pmatrix}. Equating its entries to zero gives q=2q=2 and r=3r=3, with the second row confirming both values. Thus B=(2323)B=\begin{pmatrix}2&3\\2&3\end{pmatrix}. Reversing the order gives BA=(8888)BA=\begin{pmatrix}8&-8\\8&-8\end{pmatrix}, which is not the zero matrix. Therefore a zero product in one order need not give a zero product in the reverse order.
5
  • The diagonal entries of A2A^2 are both a2+bca^2+bc
  • The off-diagonal entries of A2A^2 are abab=0ab-ab=0 and acac=0ac-ac=0
  • A2=(a2+bc00a2+bc)=(a2+bc)IA^2=\begin{pmatrix}a^2+bc&0\\0&a^2+bc\end{pmatrix}=(a^2+bc)I
  • When a2+bc=0a^2+bc=0, 4+c=04+c=0, so c=4c=-4
  • A=(2142)OA=\begin{pmatrix}2&1\\-4&-2\end{pmatrix}\ne O and A2=OA^2=O
  • When a2+bc=1a^2+bc=1, 4+c=14+c=1, so c=3c=-3
  • A=(2132)A=\begin{pmatrix}2&1\\-3&-2\end{pmatrix} and A2=IA^2=I
7
(7 marks)7
Notes
Multiplication gives A2=(a2+bcababacacbc+a2)=(a2+bc)IA^2=\begin{pmatrix}a^2+bc&ab-ab\\ac-ac&bc+a^2\end{pmatrix}=(a^2+bc)I. With a=2a=2 and b=1b=1, the scalar factor is 4+c4+c. It is zero when c=4c=-4, giving the non-zero matrix A=(2142)A=\begin{pmatrix}2&1\\-4&-2\end{pmatrix} with A2=OA^2=O. It is one when c=3c=-3, giving A=(2132)A=\begin{pmatrix}2&1\\-3&-2\end{pmatrix} with A2=IA^2=I.

CP-3.3 · Use matrices to represent linear transformations in 2-D. Successive transformations. Single transformations in 3-D.

Tier 1 · Easy

Mark scheme for CP-3.3 Tier 1 · Easy
QuestionSchemeMarks
1
  • P=(2,3)P'=(2,3)
  • Rotation through 9090^\circ anticlockwise about the origin
2
(2 marks)2
Notes
R(32)=(23)R\begin{pmatrix}3\\-2\end{pmatrix}=\begin{pmatrix}2\\3\end{pmatrix}. The basis vector (10)\begin{pmatrix}1\\0\end{pmatrix} maps to (01)\begin{pmatrix}0\\1\end{pmatrix}, identifying a 9090^\circ anticlockwise rotation about the origin.
2
  • P=(6,2)P'=(-6,2)
  • Enlargement with centre the origin and scale factor 2-2
2
(2 marks)2
Notes
E(31)=(62)E\begin{pmatrix}3\\-1\end{pmatrix}=\begin{pmatrix}-6\\2\end{pmatrix}, so P=(6,2)P'=(-6,2). Since both coordinates are multiplied by 2-2, the transformation is an enlargement with centre the origin and scale factor 2-2.

Tier 2 · Standard

Mark scheme for CP-3.3 Tier 2 · Standard
QuestionSchemeMarks
1
  • (0210)\begin{pmatrix}0&2\\1&0\end{pmatrix}
  • Image (2,2)(-2,2)
4
(4 marks)4
Notes
The reflection matrix is R=(0110)R=\begin{pmatrix}0&1\\1&0\end{pmatrix} and the stretch matrix is S=(2001)S=\begin{pmatrix}2&0\\0&1\end{pmatrix}. Since the reflection occurs first, the combined matrix is SR=(0210)SR=\begin{pmatrix}0&2\\1&0\end{pmatrix}. Multiplying by (21)\begin{pmatrix}2\\-1\end{pmatrix} gives (22)\begin{pmatrix}-2\\2\end{pmatrix}.
2
  • R=(0110)R=\begin{pmatrix}0&-1\\1&0\end{pmatrix}
  • H=(3001)H=\begin{pmatrix}3&0\\0&1\end{pmatrix}
  • RH=(0130)RH=\begin{pmatrix}0&-1\\3&0\end{pmatrix}
  • RH(12)=(23)RH\begin{pmatrix}1\\2\end{pmatrix}=\begin{pmatrix}-2\\3\end{pmatrix}, whereas HR(12)=(61)HR\begin{pmatrix}1\\2\end{pmatrix}=\begin{pmatrix}-6\\1\end{pmatrix}
  • HH acts first and RR acts second
5
(5 marks)5
Notes
R=(0110)R=\begin{pmatrix}0&-1\\1&0\end{pmatrix} and H=(3001)H=\begin{pmatrix}3&0\\0&1\end{pmatrix}. If HH acts first, the product is RH=(0130)RH=\begin{pmatrix}0&-1\\3&0\end{pmatrix} and (1,2)(1,2) maps to (2,3)(-2,3), matching the observation. The reverse order gives HR=(0310)HR=\begin{pmatrix}0&-3\\1&0\end{pmatrix} and maps the same point to (6,1)(-6,1), so that ordering is ruled out.
3
  • 2cosθ=32\cos\theta=\sqrt3
  • 2sinθ=12\sin\theta=1
  • θ=30\theta=30^\circ
  • R=(3/21/21/23/2)R=\begin{pmatrix}\sqrt3/2&-1/2\\1/2&\sqrt3/2\end{pmatrix}
  • (1,3)(-1,\sqrt3) maps to (3,1)(-\sqrt3,1)
5
(5 marks)5
Notes
The image of (2,0)(2,0) under a rotation is (2cosθ,2sinθ)(2\cos\theta,2\sin\theta). Hence cosθ=3/2\cos\theta=\sqrt3/2 and sinθ=1/2\sin\theta=1/2, so the smallest positive angle is 3030^\circ. Thus R=(3/21/21/23/2)R=\begin{pmatrix}\sqrt3/2&-1/2\\1/2&\sqrt3/2\end{pmatrix}. Multiplication gives R(13)=(31)R\begin{pmatrix}-1\\\sqrt3\end{pmatrix}=\begin{pmatrix}-\sqrt3\\1\end{pmatrix}.

Tier 3 · Hard

Mark scheme for CP-3.3 Tier 3 · Hard
QuestionSchemeMarks
1
  • (100001010)\begin{pmatrix}1&0&0\\0&0&-1\\0&1&0\end{pmatrix}
  • Image (2,4,1)(2,-4,-1)
  • Rotation through 9090^\circ about the xx-axis (taking the positive yy-axis to the positive zz-axis)
5
(5 marks)5
Notes
The images of the basis vectors form the columns: (100)(100)\begin{pmatrix}1\\0\\0\end{pmatrix}\mapsto\begin{pmatrix}1\\0\\0\end{pmatrix}, (010)(001)\begin{pmatrix}0\\1\\0\end{pmatrix}\mapsto\begin{pmatrix}0\\0\\1\end{pmatrix}, (001)(010)\begin{pmatrix}0\\0\\1\end{pmatrix}\mapsto\begin{pmatrix}0\\-1\\0\end{pmatrix}, giving T=(100001010)T=\begin{pmatrix}1&0&0\\0&0&-1\\0&1&0\end{pmatrix}. Thus T(214)=(241)T\begin{pmatrix}2\\-1\\4\end{pmatrix}=\begin{pmatrix}2\\-4\\-1\end{pmatrix}. Every point on the xx-axis is fixed and the yy-axis maps onto the zz-axis, so this is a rotation through 9090^\circ about the xx-axis.
2
  • The basis vectors map to (0,1,0)(0,1,0), (1,0,0)(-1,0,0) and (0,0,1)(0,0,1)
  • (010100001)\begin{pmatrix}0&-1&0\\1&0&0\\0&0&1\end{pmatrix}
  • (x,y,z)(x,y,z) maps to (y,x,z)(-y,x,z)
  • Rotation through 9090^\circ anticlockwise about the zz-axis
  • (2,1,3)(2,-1,3) maps to (1,2,3)(1,2,3)
5
(5 marks)5
Notes
Write the three given vectors as u1,u2,u3\mathbf u_1,\mathbf u_2,\mathbf u_3, in the order stated. Then (1,0,0)=12(u1+u3u2)(1,0,0)=\tfrac12(\mathbf u_1+\mathbf u_3-\mathbf u_2), (0,1,0)=12(u1+u2u3)(0,1,0)=\tfrac12(\mathbf u_1+\mathbf u_2-\mathbf u_3) and (0,0,1)=12(u2+u3u1)(0,0,1)=\tfrac12(\mathbf u_2+\mathbf u_3-\mathbf u_1). Applying the same combinations to their images gives (0,1,0)(0,1,0), (1,0,0)(-1,0,0) and (0,0,1)(0,0,1) respectively. These are the columns of T=(010100001)T=\begin{pmatrix}0&-1&0\\1&0&0\\0&0&1\end{pmatrix}. Thus (x,y,z)(x,y,z) maps to (y,x,z)(-y,x,z), a rotation through 9090^\circ anticlockwise about the zz-axis, and (2,1,3)(2,-1,3) maps to (1,2,3)(1,2,3).
3
  • T(10)=(03)T\begin{pmatrix}1\\0\end{pmatrix}=\begin{pmatrix}0\\3\end{pmatrix} and T(01)=(30)T\begin{pmatrix}0\\1\end{pmatrix}=\begin{pmatrix}3\\0\end{pmatrix}
  • RR is reflection in y=xy=x
  • R=(0110)R=\begin{pmatrix}0&1\\1&0\end{pmatrix}
  • E=(3003)E=\begin{pmatrix}3&0\\0&3\end{pmatrix}, an enlargement with centre the origin and scale factor 33
  • T=ERT=ER, so the reflection acts first and the enlargement acts second
  • (2,1)(2,-1) maps to (3,6)(-3,6)
6
(6 marks)6
Notes
The columns show that the positive coordinate directions are exchanged and their lengths are multiplied by 33. Hence R=(0110)R=\begin{pmatrix}0&1\\1&0\end{pmatrix} is reflection in y=xy=x, while E=3IE=3I is enlargement with centre the origin and scale factor 33. Since T=ERT=ER, RR acts first and EE acts second, in agreement with the right-to-left convention. Finally, T(21)=(36)T\begin{pmatrix}2\\-1\end{pmatrix}=\begin{pmatrix}-3\\6\end{pmatrix}.
4
  • Reflection in y=xy=-x has matrix R=(0110)R=\begin{pmatrix}0&-1\\-1&0\end{pmatrix}
  • Reflection in the yy-axis has matrix F=(1001)F=\begin{pmatrix}-1&0\\0&1\end{pmatrix}
  • Since RR acts first and FF second, the combined matrix is FRFR
  • FR=(0110)FR=\begin{pmatrix}0&1\\-1&0\end{pmatrix}
  • The single equivalent transformation is rotation through 9090^\circ clockwise about the origin
  • (4,1)(4,1) maps to (1,4)(1,-4)
6
(6 marks)6
Notes
The reflection matrices are R=(0110)R=\begin{pmatrix}0&-1\\-1&0\end{pmatrix} for y=xy=-x and F=(1001)F=\begin{pmatrix}-1&0\\0&1\end{pmatrix} for the yy-axis. The first transformation is the right-hand factor, so the combined matrix is FR=(0110)FR=\begin{pmatrix}0&1\\-1&0\end{pmatrix}. This is rotation through 9090^\circ clockwise about the origin. It maps (41)\begin{pmatrix}4\\1\end{pmatrix} to (14)\begin{pmatrix}1\\-4\end{pmatrix}.
5
  • F=(0110)F=\begin{pmatrix}0&1\\1&0\end{pmatrix}
  • H=(1004)H=\begin{pmatrix}1&0\\0&4\end{pmatrix}
  • R=(1001)R=\begin{pmatrix}-1&0\\0&-1\end{pmatrix}
  • RHF=(0140)RHF=\begin{pmatrix}0&-1\\-4&0\end{pmatrix}
  • FHR=(0410)FHR=\begin{pmatrix}0&-4\\-1&0\end{pmatrix}
  • In the stated order, (5,2)(5,-2) maps to (2,20)(2,-20)
  • In reverse order, (5,2)(5,-2) maps to (8,5)(8,-5), so reversing the order changes the transformation
7
(7 marks)7
Notes
The matrices are F=(0110)F=\begin{pmatrix}0&1\\1&0\end{pmatrix}, H=(1004)H=\begin{pmatrix}1&0\\0&4\end{pmatrix} and R=(1001)R=\begin{pmatrix}-1&0\\0&-1\end{pmatrix}. In the stated order the product is RHF=(0140)RHF=\begin{pmatrix}0&-1\\-4&0\end{pmatrix}, which maps (5,2)(5,-2) to (2,20)(2,-20). Reversing the transformations reverses the factor order, giving FHR=(0410)FHR=\begin{pmatrix}0&-4\\-1&0\end{pmatrix} and image (8,5)(8,-5). The different images confirm that order matters.

CP-3.4 · Find invariant points and lines for a linear transformation.

Tier 1 · Easy

Mark scheme for CP-3.4 Tier 1 · Easy
QuestionSchemeMarks
1
  • All points (x,0)(x,0) on the xx-axis
3
(3 marks)3
Notes
Set A(xy)=(xy)A\begin{pmatrix}x\\y\end{pmatrix}=\begin{pmatrix}x\\y\end{pmatrix}. This gives x=xx=x and 3y=y3y=y, so 2y=02y=0 and y=0y=0. Hence every point (x,0)(x,0) is invariant.
2
  • k=0k=0
  • No: the line does not consist entirely of invariant points
  • When k=0k=0, (t,t)(3t,3t)(t,t)\mapsto(3t,3t), so only the origin is fixed
3
(3 marks)3
Notes
A direction vector for y=xy=x is (1,1)(1,1). Its image is (3+k,3)(3+k,3), which is parallel to (1,1)(1,1) precisely when 3+k=33+k=3, so k=0k=0. At this value A0(t,t)=(3t,3t)A_0(t,t)=(3t,3t), which remains on y=xy=x; hence the line is invariant. Except at t=0t=0, the image differs from (t,t)(t,t), so the line is not pointwise invariant.

Tier 2 · Standard

Mark scheme for CP-3.4 Tier 2 · Standard
QuestionSchemeMarks
1
  • y=0y=0 and y=xy=-x
4
(4 marks)4
Notes
A point (x,mx)(x,mx) maps to ((2+m)x,mx)((2+m)x,mx). For the image to remain on y=mxy=m x, require mx=m(2+m)xmx=m(2+m)x. Thus m=0m=0 or 1=2+m1=2+m, giving m=1m=-1. The line x=0x=0 is not invariant because (0,y)(0,y) maps to (y,y)(y,y). Therefore the invariant lines are y=0y=0 and y=xy=-x.
2
  • m2+tm+1=0m^2+tm+1=0
  • t24=0t^2-4=0
  • t=±2t=\pm2
  • y=xy=-x when t=2t=2; y=xy=x when t=2t=-2
4
(4 marks)4
Notes
For a non-vertical line with direction (1,m)(1,m), the image is (m,1+tm)(-m,1+tm). Parallelism requires 1+tm=m21+tm=-m^2, hence m2+tm+1=0m^2+tm+1=0. There is exactly one real gradient when the discriminant t24t^2-4 is zero, so t=±2t=\pm2. The repeated gradient is m=1m=-1 when t=2t=2, giving y=xy=-x, and m=1m=1 when t=2t=-2, giving y=xy=x. The vertical direction maps to (1,t)(-1,t) and supplies no further invariant line.
3
  • det(AkI)=3(k3)\det(A_k-I)=3(k-3)
  • k=3k=3
  • The non-zero invariant points lie on y=xy=-x
  • The invariant lines through the origin are y=xy=-x and y=32xy=\dfrac32x
  • y=xy=-x consists entirely of invariant points
5
(5 marks)5
Notes
Non-zero invariant points require (AkI)x=0(A_k-I)\mathbf x=\mathbf0 to have a non-zero solution. Since det(AkI)=3(k3)\det(A_k-I)=3(k-3), this occurs when k=3k=3. At this value, solving (A3I)x=0(A_3-I)\mathbf x=\mathbf0 gives y=xy=-x, so this line is pointwise fixed. The other eigendirection of A3A_3 satisfies y=3x/2y=3x/2. Hence the two invariant lines through the origin are y=xy=-x and y=3x/2y=3x/2, with only the first consisting entirely of invariant points.

Tier 3 · Hard

Mark scheme for CP-3.4 Tier 3 · Hard
QuestionSchemeMarks
1
  • y=0y=0 and the family y=x+cy=x+c, where cc is any real constant
  • y=0y=0 consists entirely of invariant points
6
(6 marks)6
Notes
Take y=mx+cy=mx+c. Then X=(1+m)x+cX=(1+m)x+c and Y=2mx+2cY=2mx+2c. Requiring Y=mX+cY=mX+c for every xx gives 2m=m(1+m)2m=m(1+m) and 2c=mc+c2c=mc+c. Hence either m=0,c=0m=0,c=0, giving y=0y=0, or m=1m=1 with any cc, giving y=x+cy=x+c. No vertical line is invariant because X=x+yX=x+y varies with yy. On y=0y=0, (x,0)(x,0) maps to itself, so this is a line of invariant points; points on y=x+cy=x+c are generally moved along the line.
2
  • m(5k2m)=0m(5-k-2m)=0
  • 2c(2m)=02c(2-m)=0
  • y=0y=0 is invariant for every value of kk
  • If k1,5k\ne1,5, the other invariant line is y=5k2xy=\dfrac{5-k}{2}x
  • If k=5k=5, only y=0y=0 is invariant
  • If k=1k=1, the invariant lines are y=0y=0 and every line y=2x+cy=2x+c, where cRc\in\mathbb R
  • There is no invariant vertical line
7
(7 marks)7
Notes
Let y=mx+cy=mx+c. Its image has X=(k+2m)x+2cX=(k+2m)x+2c and Y=5mx+5cY=5mx+5c. Requiring Y=mX+cY=mX+c for every real xx gives m(5k2m)=0m(5-k-2m)=0 and 2c(2m)=02c(2-m)=0. Thus m=0,c=0m=0,c=0 always gives y=0y=0. The other gradient is m=(5k)/2m=(5-k)/2: it gives an additional line through the origin unless k=5k=5, while m=2m=2 at k=1k=1 permits every real cc, producing the family y=2x+cy=2x+c. A vertical line is not invariant because X=kx+2yX=kx+2y varies with yy.
3
  • A non-vertical invariant line y=mxy=mx satisfies km2+4m+1=0km^2+4m+1=0
  • The vertical line x=0x=0 is invariant only when k=0k=0
  • If k>4k>4, there are no invariant lines through the origin
  • If k=4k=4, the only invariant line is y=12xy=-\dfrac12x
  • If k<4k<4 and k0k\ne0, the two lines are y=2+4kkxy=\dfrac{-2+\sqrt{4-k}}k x and y=24kkxy=\dfrac{-2-\sqrt{4-k}}k x
  • If k=0k=0, the two invariant lines are y=14xy=-\dfrac14x and x=0x=0
  • Only when k=5k=-5 does an invariant line consist entirely of invariant points; that line is y=xy=x
7
(7 marks)7
Notes
The direction (1,m)(1,m) maps to (6+km,1+2m)(6+km,-1+2m). Parallelism gives 1+2m=m(6+km)-1+2m=m(6+km), so km2+4m+1=0km^2+4m+1=0. Its discriminant is 164k16-4k. Thus there are no real gradients when k>4k>4, one repeated gradient m=1/2m=-1/2 when k=4k=4, and two real gradients when k<4k<4, except that k=0k=0 must be solved as the linear equation 4m+1=04m+1=0. The vertical direction maps to (k,2)(k,2), so x=0x=0 supplies the second invariant line precisely when k=0k=0. A line is pointwise fixed only if 11 is an eigenvalue: det(TkI)=k+5\det(T_k-I)=k+5, so k=5k=-5, when the fixed line is y=xy=x.
4
  • T(13)=2(13)T\begin{pmatrix}1\\3\end{pmatrix}=2\begin{pmatrix}1\\3\end{pmatrix}
  • T(12)=3(12)T\begin{pmatrix}1\\-2\end{pmatrix}=3\begin{pmatrix}1\\-2\end{pmatrix}
  • T=(13/51/56/512/5)T=\begin{pmatrix}13/5&-1/5\\-6/5&12/5\end{pmatrix}
  • TI=(8/51/56/57/5)T-I=\begin{pmatrix}8/5&-1/5\\-6/5&7/5\end{pmatrix}
  • det(TI)=2\det(T-I)=2
  • Since det(TI)0\det(T-I)\ne0, the origin is the only invariant point
  • The origin is not on LL, so no point of LL is invariant
7
(7 marks)7
Notes
Using the two independent direction vectors as columns gives T(1132)=(2366)T\begin{pmatrix}1&1\\3&-2\end{pmatrix}=\begin{pmatrix}2&3\\6&-6\end{pmatrix}. Hence T=(2366)(1132)1=(13/51/56/512/5)T=\begin{pmatrix}2&3\\6&-6\end{pmatrix}\begin{pmatrix}1&1\\3&-2\end{pmatrix}^{-1}=\begin{pmatrix}13/5&-1/5\\-6/5&12/5\end{pmatrix}. Invariant points satisfy (TI)x=0(T-I)\mathbf x=\mathbf0. Here TI=(8/51/56/57/5)T-I=\begin{pmatrix}8/5&-1/5\\-6/5&7/5\end{pmatrix} and det(TI)=20\det(T-I)=2\ne0, so the origin is the only invariant point. Since (0,0)(0,0) does not satisfy y=x+4y=x+4, no point of LL is invariant.
5
  • A point (x,mx+c)(x,mx+c) maps to X=(2+6m)x+6cX=(2+6m)x+6c
  • The corresponding second coordinate is Y=(1+3m)x+3cY=(1+3m)x+3c
  • Equating coefficients in Y=mX+cY=mX+c gives 6m2m1=06m^2-m-1=0
  • Equating constants gives c(13m)=0c(1-3m)=0
  • m=12m=\dfrac12 or m=13m=-\dfrac13
  • For both gradients, c=0c=0
  • No vertical line is invariant
  • The invariant lines are y=12xy=\dfrac12x, on which every image lies, and y=13xy=-\dfrac13x, whose points map to the origin
8
(8 marks)8
Notes
For a general point on y=mx+cy=mx+c, the image is (X,Y)=((2+6m)x+6c,(1+3m)x+3c)(X,Y)=((2+6m)x+6c,(1+3m)x+3c). Requiring Y=mX+cY=mX+c for every xx gives 6m2m1=06m^2-m-1=0 and c(13m)=0c(1-3m)=0. The gradients are m=1/2m=1/2 and m=1/3m=-1/3, and each forces c=0c=0. A vertical line is not invariant because X=2x+6yX=2x+6y varies with yy. Since X=2YX=2Y for every image, every image lies on y=x/2y=x/2. A point (x,x/3)(x,-x/3) maps to the origin, so y=x/3y=-x/3 is also invariant.

CP-3.5 · Calculate determinants of 2x2 and 3x3 matrices and interpret as scale factors, including the effect on orientation.

Tier 1 · Easy

Mark scheme for CP-3.5 Tier 1 · Easy
QuestionSchemeMarks
1
  • Image area =60=60
  • Orientation is reversed
3
(3 marks)3
Notes
detA=1(3)4(2)=5\det A=1(3)-4(2)=-5. The area scale factor is 5=5|-5|=5, so the image area is 12×5=6012\times5=60. The negative determinant means orientation is reversed.
2
  • det(2346)=0\det\begin{pmatrix}2&3\\4&6\end{pmatrix}=0
  • The region collapses onto the line y=2xy=2x.
  • Image area 00
3
(3 marks)3
Notes
The determinant is 2(6)3(4)=02(6)-3(4)=0, so the area scale factor is 00 and the image area is 7×0=07\times0=0. The two columns are parallel, so every image vector lies on the line y=2xy=2x through the origin.

Tier 2 · Standard

Mark scheme for CP-3.5 Tier 2 · Standard
QuestionSchemeMarks
1
  • detM=9\det M=9
  • Volume scale factor 99
  • Orientation is preserved
4
(4 marks)4
Notes
Expanding along the first row, detM=1310121121=32(3)=9\det M=1\begin{vmatrix}3&1\\0&1\end{vmatrix}-2\begin{vmatrix}-1&1\\2&1\end{vmatrix}=3-2(-3)=9. Therefore volumes are multiplied by 9=9|9|=9, and the positive sign preserves orientation.
2
  • det(SR)=30/5=6|\det(SR)|=30/5=6
  • det(SR)=6\det(SR)=-6
  • detS=3\det S=3
  • SS preserves orientation
4
(4 marks)4
Notes
The magnitude of the combined determinant is the area ratio 30/5=630/5=6. Because the combination reverses orientation, its signed determinant is 6-6. Since RR acts first, the combined matrix is SRSR, and det(SR)=(detS)(2)=6\det(SR)=(\det S)(-2)=-6. Therefore detS=3\det S=3, whose positive sign shows that SS preserves orientation.
3
  • detB=2(3)1(1+8)\det B=2(-3)-1(1+8)
  • detB=15\det B=-15
  • Orientation is reversed
  • The image volume is 4×15=604\times|-15|=60
4
(4 marks)4
Notes
Expanding along the first row gives detB=2((3)(1)2(0))1(1(1)2(4))+0=69=15\det B=2((-3)(1)-2(0))-1(1(1)-2(-4))+0=-6-9=-15. The negative determinant reverses orientation, while volumes are multiplied by 15=15|-15|=15, so the image volume is 4×15=604\times15=60.

Tier 3 · Hard

Mark scheme for CP-3.5 Tier 3 · Hard
QuestionSchemeMarks
1
  • k=3,0,1,4k=-3,0,1,4
  • Orientation is reversed for k=0k=0 and k=1k=1
5
(5 marks)5
Notes
The area scale factor is 42/7=642/7=6, so detP=6|\det P|=6. Now detP=k(k1)6=k2k6\det P=k(k-1)-6=k^2-k-6. Solving k2k6=6k^2-k-6=6 gives k2k12=0k^2-k-12=0, so k=4k=4 or 3-3. Solving k2k6=6k^2-k-6=-6 gives k(k1)=0k(k-1)=0, so k=0k=0 or 11. The determinant is negative in the second case, so k=0,1k=0,1 reverse orientation.
2
  • detAk=k4\det A_k=k-4
  • detB=2\det B=-2
  • det(BAk)=2(k4)\det(BA_k)=-2(k-4)
  • 2(k4)=10|-2(k-4)|=10, so k=9k=9 or k=1k=-1
  • Preserved orientation requires 2(k4)>0-2(k-4)>0, so k<4k<4
  • k=1k=-1
6
(6 marks)6
Notes
Cofactor expansion gives detAk=k4\det A_k=k-4, while detB=2\det B=-2. The combined matrix is BAkBA_k, so its determinant is 2(k4)-2(k-4). The volume ratio is 30/3=1030/3=10, hence 2(k4)=10|-2(k-4)|=10 and k=9k=9 or k=1k=-1. Preserved orientation requires 2(k4)>0-2(k-4)>0, which holds only when k<4k<4. Therefore the value of kk satisfying the stated condition is k=1k=-1; indeed the combined determinant is then 1010.
3
  • detAh=h22h8\det A_h=h^2-2h-8
  • detAh=(h4)(h+2)\det A_h=(h-4)(h+2)
  • The transformation is singular for h{2,4}h\in\{-2,4\}
  • Reversed orientation and a volume scale factor of 88 require detAh=8\det A_h=-8
  • (h4)(h+2)=8(h-4)(h+2)=-8, so h(h2)=0h(h-2)=0
  • h=0h=0 or h=2h=2, and h>0h>0 gives h=2h=2
6
(6 marks)6
Notes
Cofactor expansion gives detAh=2h8+h2=h22h8=(h4)(h+2)\det A_h=-2h-8+h^2=h^2-2h-8=(h-4)(h+2), so the transformation is singular precisely when h=2h=-2 or h=4h=4. The image-to-original volume ratio is 24/3=824/3=8. Because orientation is reversed, the signed determinant must be 8-8. Thus (h4)(h+2)=8(h-4)(h+2)=-8, which simplifies to h(h2)=0h(h-2)=0. The candidates are h=0h=0 and h=2h=2, and the condition h>0h>0 selects h=2h=2.
4
  • det(1321)=7\det\begin{pmatrix}1&3\\2&-1\end{pmatrix}=-7
  • det(3123)=11\det\begin{pmatrix}3&1\\-2&3\end{pmatrix}=11
  • 11=(detT)(7)11=(\det T)(-7)
  • detT=117\det T=-\dfrac{11}7
  • The image area is 14117=2214\left|-\dfrac{11}7\right|=22
  • Orientation is reversed
6
(6 marks)6
Notes
Place the two original vectors in a matrix as columns. Its determinant is det(1321)=7\det\begin{pmatrix}1&3\\2&-1\end{pmatrix}=-7. The corresponding image-vector matrix has determinant det(3123)=11\det\begin{pmatrix}3&1\\-2&3\end{pmatrix}=11. Since the image matrix is T(1321)T\begin{pmatrix}1&3\\2&-1\end{pmatrix}, determinants give 11=(detT)(7)11=(\det T)(-7), so detT=11/7\det T=-11/7. The area scale factor is 11/711/7, giving image area 14(11/7)=2214(11/7)=22, and the negative sign reverses orientation.
5
  • detMk=k26\det M_k=k^2-6
  • Reversed orientation requires k26<0k^2-6<0
  • A smaller image area requires k26<1|k^2-6|<1
  • Together, 1<k26<0-1<k^2-6<0
  • 5<k2<65<k^2<6
  • k(6,5)(5,6)k\in(-\sqrt6,-\sqrt5)\cup(\sqrt5,\sqrt6)
6
(6 marks)6
Notes
The signed area scale factor is detMk=k26\det M_k=k^2-6. Reversed orientation requires this determinant to be negative, while a smaller image area requires its magnitude to be less than 11. Combining the strict inequalities gives 1<k26<0-1<k^2-6<0, or 5<k2<65<k^2<6. Therefore 6<k<5-\sqrt6<k<-\sqrt5 or 5<k<6\sqrt5<k<\sqrt6; the strict inequalities exclude all four endpoints.

CP-3.6 · Understand and use singular and non-singular matrices. Properties of inverse matrices. Calculate and use the inverse of non-singular 2x2 and 3x3 matrices.

Tier 1 · Easy

Mark scheme for CP-3.6 Tier 1 · Easy
QuestionSchemeMarks
1
  • A1=(1123)A^{-1}=\begin{pmatrix}1&-1\\-2&3\end{pmatrix}
3
(3 marks)3
Notes
detA=3(1)1(2)=10\det A=3(1)-1(2)=1\ne0, so AA is non-singular. Hence A1=11(1123)A^{-1}=\frac1{1}\begin{pmatrix}1&-1\\-2&3\end{pmatrix}.
2
  • (k+1)(k1)4(2)=0(k+1)(k-1)-4(2)=0
  • k29=0k^2-9=0
  • k=±3k=\pm3
3
(3 marks)3
Notes
A singular matrix has determinant zero. Hence (k+1)(k1)4(2)=0(k+1)(k-1)-4(2)=0, so k29=0k^2-9=0 and k=±3k=\pm3.

Tier 2 · Standard

Mark scheme for CP-3.6 Tier 2 · Standard
QuestionSchemeMarks
1
  • C1=12(111111111)C^{-1}=\frac12\begin{pmatrix}1&-1&1\\1&1&-1\\-1&1&1\end{pmatrix}
5
(5 marks)5
Notes
detC=2\det C=2. The signed minors give the cofactor matrix (111111111)\begin{pmatrix}1&1&-1\\-1&1&1\\1&-1&1\end{pmatrix}, so adjC=(111111111)\operatorname{adj}C=\begin{pmatrix}1&-1&1\\1&1&-1\\-1&1&1\end{pmatrix}. Hence C1=1detCadjC=12(111111111)C^{-1}=\frac1{\det C}\operatorname{adj}C=\frac12\begin{pmatrix}1&-1&1\\1&1&-1\\-1&1&1\end{pmatrix}. Multiplying by CC gives II.
2
  • XAA1=(2314)A1XAA^{-1}=\begin{pmatrix}2&3\\1&4\end{pmatrix}A^{-1}
  • X=(2314)(1101)X=\begin{pmatrix}2&3\\1&4\end{pmatrix}\begin{pmatrix}1&-1\\0&1\end{pmatrix}
  • X=(2113)X=\begin{pmatrix}2&1\\1&3\end{pmatrix}
  • XA=(2314)XA=\begin{pmatrix}2&3\\1&4\end{pmatrix}
4
(4 marks)4
Notes
Right-multiply both sides by A1A^{-1}: XAA1=(2314)A1XAA^{-1}=\begin{pmatrix}2&3\\1&4\end{pmatrix}A^{-1}. Hence X=(2314)(1101)=(2113)X=\begin{pmatrix}2&3\\1&4\end{pmatrix}\begin{pmatrix}1&-1\\0&1\end{pmatrix}=\begin{pmatrix}2&1\\1&3\end{pmatrix}. Since A=(1101)A=\begin{pmatrix}1&1\\0&1\end{pmatrix}, the check XA=(2314)XA=\begin{pmatrix}2&3\\1&4\end{pmatrix} confirms the side on which the inverse was used.
3
  • (AB)1=B1A1(AB)^{-1}=B^{-1}A^{-1}
  • (AB)1=(2011)(1201)(AB)^{-1}=\begin{pmatrix}2&0\\-1&1\end{pmatrix}\begin{pmatrix}1&2\\0&1\end{pmatrix}
  • (AB)1=(2411)(AB)^{-1}=\begin{pmatrix}2&4\\-1&-1\end{pmatrix}
  • x=(AB)1(31)\mathbf x=(AB)^{-1}\begin{pmatrix}3\\-1\end{pmatrix}
  • x=(22)\mathbf x=\begin{pmatrix}2\\-2\end{pmatrix}
5
(5 marks)5
Notes
The factors reverse when a product is inverted, so (AB)1=B1A1=(2011)(1201)=(2411)(AB)^{-1}=B^{-1}A^{-1}=\begin{pmatrix}2&0\\-1&1\end{pmatrix}\begin{pmatrix}1&2\\0&1\end{pmatrix}=\begin{pmatrix}2&4\\-1&-1\end{pmatrix}. Left-multiplying the equation by this inverse gives x=(2411)(31)=(22)\mathbf x=\begin{pmatrix}2&4\\-1&-1\end{pmatrix}\begin{pmatrix}3\\-1\end{pmatrix}=\begin{pmatrix}2\\-2\end{pmatrix}.

Tier 3 · Hard

Mark scheme for CP-3.6 Tier 3 · Hard
QuestionSchemeMarks
1
  • D1=(2132)D^{-1}=\begin{pmatrix}2&-1\\-3&2\end{pmatrix}
5
(5 marks)5
Notes
From D24D+I=OD^2-4D+I=O, rearrange to D(4ID)=ID(4I-D)=I. Since the same expression is a polynomial in DD, (4ID)D=I(4I-D)D=I as well. Therefore D1=4ID=(2132)D^{-1}=4I-D=\begin{pmatrix}2&-1\\-3&2\end{pmatrix}.
2
  • A1=(1112)A^{-1}=\begin{pmatrix}1&-1\\-1&2\end{pmatrix}
  • B1=(1011)B^{-1}=\begin{pmatrix}1&0\\-1&1\end{pmatrix}
  • X=A1(4130)B1X=A^{-1}\begin{pmatrix}4&-1\\3&0\end{pmatrix}B^{-1}
  • A1(4130)=(1121)A^{-1}\begin{pmatrix}4&-1\\3&0\end{pmatrix}=\begin{pmatrix}1&-1\\2&1\end{pmatrix}
  • X=(2111)X=\begin{pmatrix}2&-1\\1&1\end{pmatrix}
  • AXB=(4130)AXB=\begin{pmatrix}4&-1\\3&0\end{pmatrix}
6
(6 marks)6
Notes
AA and BB have determinant 11, with A1=(1112)A^{-1}=\begin{pmatrix}1&-1\\-1&2\end{pmatrix} and B1=(1011)B^{-1}=\begin{pmatrix}1&0\\-1&1\end{pmatrix}. Left-multiplying by A1A^{-1} and right-multiplying by B1B^{-1} gives X=A1(4130)B1=(2111)X=A^{-1}\begin{pmatrix}4&-1\\3&0\end{pmatrix}B^{-1}=\begin{pmatrix}2&-1\\1&1\end{pmatrix}. Direct multiplication gives AX=(5130)AX=\begin{pmatrix}5&-1\\3&0\end{pmatrix} and (AX)B=(4130)(AX)B=\begin{pmatrix}4&-1\\3&0\end{pmatrix}, as required.
3
  • X=(0121)X=\begin{pmatrix}0&-1\\-2&1\end{pmatrix} and Y=(1210)Y=\begin{pmatrix}1&-2\\-1&0\end{pmatrix}
  • XA=(0220)XA=\begin{pmatrix}0&-2\\-2&0\end{pmatrix}
  • AY=(0220)AY=\begin{pmatrix}0&-2\\-2&0\end{pmatrix}, so XA=AYXA=AY
  • X1A=AY1X^{-1}A=AY^{-1}, or directly X1=(1/21/210)X^{-1}=\begin{pmatrix}-1/2&-1/2\\-1&0\end{pmatrix}
  • X1A=(1/23/211)X^{-1}A=\begin{pmatrix}-1/2&-3/2\\-1&-1\end{pmatrix}
5
(5 marks)5
Notes
Calculation gives X=IAB=(0121)X=I-AB=\begin{pmatrix}0&-1\\-2&1\end{pmatrix} and Y=IBA=(1210)Y=I-BA=\begin{pmatrix}1&-2\\-1&0\end{pmatrix}. Both XAXA and AYAY equal (0220)\begin{pmatrix}0&-2\\-2&0\end{pmatrix}. One route is to use Y1=(011/21/2)Y^{-1}=\begin{pmatrix}0&-1\\-1/2&-1/2\end{pmatrix}: from XA=AYXA=AY, left-multiplication by X1X^{-1} and right-multiplication by Y1Y^{-1} give X1A=AY1=(1/23/211)X^{-1}A=AY^{-1}=\begin{pmatrix}-1/2&-3/2\\-1&-1\end{pmatrix}. Directly calculating X1X^{-1} and multiplying by AA earns the same result.
4
  • detA=4\det A=4
  • adjA=(111715513)\operatorname{adj}A=\begin{pmatrix}1&-1&1\\7&1&-5\\-5&1&3\end{pmatrix}
  • A1=14(111715513)A^{-1}=\dfrac14\begin{pmatrix}1&-1&1\\7&1&-5\\-5&1&3\end{pmatrix}
  • X=A1(71144113)X=A^{-1}\begin{pmatrix}7&1\\14&4\\11&3\end{pmatrix}
  • X=(102132)X=\begin{pmatrix}1&0\\2&-1\\3&2\end{pmatrix}
  • (211123312)(102132)=(71144113)\begin{pmatrix}2&1&1\\1&2&3\\3&1&2\end{pmatrix}\begin{pmatrix}1&0\\2&-1\\3&2\end{pmatrix}=\begin{pmatrix}7&1\\14&4\\11&3\end{pmatrix}
6
(6 marks)6
Notes
Cofactor expansion gives detA=4\det A=4 and adjA=(111715513)\operatorname{adj}A=\begin{pmatrix}1&-1&1\\7&1&-5\\-5&1&3\end{pmatrix}. Hence A1=14(111715513)A^{-1}=\frac14\begin{pmatrix}1&-1&1\\7&1&-5\\-5&1&3\end{pmatrix}. Left-multiplying the equation by A1A^{-1} gives X=A1(71144113)=(102132)X=A^{-1}\begin{pmatrix}7&1\\14&4\\11&3\end{pmatrix}=\begin{pmatrix}1&0\\2&-1\\3&2\end{pmatrix}. Multiplication by AA reproduces the stated 3×23\times2 matrix.
5
  • A1=12(1113)A^{-1}=\dfrac12\begin{pmatrix}1&-1\\-1&3\end{pmatrix}
  • B1=(1/21/201)B^{-1}=\begin{pmatrix}1/2&-1/2\\0&1\end{pmatrix}
  • A1+B1=(111/25/2)A^{-1}+B^{-1}=\begin{pmatrix}1&-1\\-1/2&5/2\end{pmatrix}
  • (A1+B1)1=(5/41/21/41/2)(A^{-1}+B^{-1})^{-1}=\begin{pmatrix}5/4&1/2\\1/4&1/2\end{pmatrix}
  • A+B=(5212)A+B=\begin{pmatrix}5&2\\1&2\end{pmatrix}
  • (A+B)1=(1/41/41/85/8)(A+B)^{-1}=\begin{pmatrix}1/4&-1/4\\-1/8&5/8\end{pmatrix}
  • A(A+B)1B=(5/41/21/41/2)A(A+B)^{-1}B=\begin{pmatrix}5/4&1/2\\1/4&1/2\end{pmatrix}
7
(7 marks)7
Notes
The inverses are A1=12(1113)A^{-1}=\frac12\begin{pmatrix}1&-1\\-1&3\end{pmatrix} and B1=(1/21/201)B^{-1}=\begin{pmatrix}1/2&-1/2\\0&1\end{pmatrix}. Their sum is (111/25/2)\begin{pmatrix}1&-1\\-1/2&5/2\end{pmatrix}, whose inverse is (5/41/21/41/2)\begin{pmatrix}5/4&1/2\\1/4&1/2\end{pmatrix}. Also A+B=(5212)A+B=\begin{pmatrix}5&2\\1&2\end{pmatrix}, so (A+B)1=(1/41/41/85/8)(A+B)^{-1}=\begin{pmatrix}1/4&-1/4\\-1/8&5/8\end{pmatrix}. Multiplying in the stated order gives A(A+B)1B=(5/41/21/41/2)A(A+B)^{-1}B=\begin{pmatrix}5/4&1/2\\1/4&1/2\end{pmatrix}, verifying the equality.

CP-3.7 · Solve three linear simultaneous equations in three variables by use of the inverse matrix.

Tier 1 · Easy

Mark scheme for CP-3.7 Tier 1 · Easy
QuestionSchemeMarks
1
  • x=4x=4, y=0y=0, z=2z=2
3
(3 marks)3
Notes
(xyz)=A1(426)=12(42+64+264+2+6)=(402)\begin{pmatrix}x\\y\\z\end{pmatrix}=A^{-1}\begin{pmatrix}4\\2\\6\end{pmatrix}=\frac12\begin{pmatrix}4-2+6\\4+2-6\\-4+2+6\end{pmatrix}=\begin{pmatrix}4\\0\\2\end{pmatrix}.
2
  • x=(xyz)\mathbf{x}=\begin{pmatrix}x\\y\\z\end{pmatrix}
  • A=(201110032)A=\begin{pmatrix}2&0&1\\1&-1&0\\0&3&2\end{pmatrix}
  • b=(507)\mathbf{b}=\begin{pmatrix}5\\0\\7\end{pmatrix}
  • (x,y,z)=(3,3,1)(x,y,z)=(3,3,-1)
4
(4 marks)4
Notes
Use the variable order x,y,zx,y,z in every row, including zeros for missing variables. This gives (201110032)(xyz)=(507)\begin{pmatrix}2&0&1\\1&-1&0\\0&3&2\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}5\\0\\7\end{pmatrix}. Then x=A1b=(231241362)(507)=(331)\mathbf{x}=A^{-1}\mathbf{b}=\begin{pmatrix}2&-3&-1\\2&-4&-1\\-3&6&2\end{pmatrix}\begin{pmatrix}5\\0\\7\end{pmatrix}=\begin{pmatrix}3\\3\\-1\end{pmatrix}.

Tier 2 · Standard

Mark scheme for CP-3.7 Tier 2 · Standard
QuestionSchemeMarks
1
  • x=3x=3, y=1y=1, z=3z=3
5
(5 marks)5
Notes
The system is Ax=bA\mathbf{x}=\mathbf{b} with A=(120011001)A=\begin{pmatrix}1&2&0\\0&1&1\\0&0&1\end{pmatrix} and b=(543)\mathbf{b}=\begin{pmatrix}5\\4\\3\end{pmatrix}. Row reduction gives A1=(122011001)A^{-1}=\begin{pmatrix}1&-2&2\\0&1&-1\\0&0&1\end{pmatrix}. Thus x=A1b=(58+6433)=(313)\mathbf{x}=A^{-1}\mathbf{b}=\begin{pmatrix}5-8+6\\4-3\\3\end{pmatrix}=\begin{pmatrix}3\\1\\3\end{pmatrix}.
2
  • k+6=10k+6=10
  • k=4k=4
  • A41=(41/2151121/20)A_4^{-1}=\begin{pmatrix}4&-1/2&-1\\-5&1&1\\2&-1/2&0\end{pmatrix}
  • x=4(6)12(22)10=3x=4(6)-\tfrac12(22)-10=3
  • y=5(6)+22+10=2y=-5(6)+22+10=2
  • z=2(6)12(22)=1z=2(6)-\tfrac12(22)=1
6
(6 marks)6
Notes
Ak(111)=(3k+66)A_k\begin{pmatrix}1\\1\\1\end{pmatrix}=\begin{pmatrix}3\\k+6\\6\end{pmatrix}. Comparing this with (3,10,6)T(3,10,6)^T gives k+6=10k+6=10, so k=4k=4. For this value, A41=(41/2151121/20)A_4^{-1}=\begin{pmatrix}4&-1/2&-1\\-5&1&1\\2&-1/2&0\end{pmatrix}. Hence (xyz)=A41(62210)=(321)\begin{pmatrix}x\\y\\z\end{pmatrix}=A_4^{-1}\begin{pmatrix}6\\22\\10\end{pmatrix}=\begin{pmatrix}3\\2\\1\end{pmatrix}. Multiplying A4A_4 by this vector reproduces (6,22,10)T(6,22,10)^T.
3
  • (211132321)(xyz)=(131918)\begin{pmatrix}2&1&1\\1&3&2\\3&2&1\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}13\\19\\18\end{pmatrix}
  • det(211132321)=4\det\begin{pmatrix}2&1&1\\1&3&2\\3&2&1\end{pmatrix}=-4
  • A1=(1/41/41/45/41/43/47/41/45/4)A^{-1}=\begin{pmatrix}1/4&-1/4&1/4\\-5/4&1/4&3/4\\7/4&1/4&-5/4\end{pmatrix}
  • (xyz)=A1(131918)\begin{pmatrix}x\\y\\z\end{pmatrix}=A^{-1}\begin{pmatrix}13\\19\\18\end{pmatrix}
  • (x,y,z)=(3,2,5)(x,y,z)=(3,2,5)
  • One notebook, two pens and three folders cost £22
6
(6 marks)6
Notes
The information gives A(xyz)=(131918)A\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}13\\19\\18\end{pmatrix} with A=(211132321)A=\begin{pmatrix}2&1&1\\1&3&2\\3&2&1\end{pmatrix}. Its determinant is 4-4 and A1=(1/41/41/45/41/43/47/41/45/4)A^{-1}=\begin{pmatrix}1/4&-1/4&1/4\\-5/4&1/4&3/4\\7/4&1/4&-5/4\end{pmatrix}. Multiplication gives (x,y,z)=(3,2,5)(x,y,z)=(3,2,5). The requested cost is x+2y+3z=3+4+15=22x+2y+3z=3+4+15=22 pounds.

Tier 3 · Hard

Mark scheme for CP-3.7 Tier 3 · Hard
QuestionSchemeMarks
1
  • p=4p=4
  • (x,y,z)=(3,1,4)(x,y,z)=(3,1,4)
6
(6 marks)6
Notes
Write Tx=(p58)T\mathbf{x}=\begin{pmatrix}p\\5\\8\end{pmatrix} with T=(110011002)T=\begin{pmatrix}1&1&0\\0&1&1\\0&0&2\end{pmatrix}. Its inverse is T1=(111/2011/2001/2)T^{-1}=\begin{pmatrix}1&-1&1/2\\0&1&-1/2\\0&0&1/2\end{pmatrix}. Therefore (x,y,z)=(p1,1,4)(x,y,z)=(p-1,1,4). The condition x+y=zx+y=z gives (p1)+1=4(p-1)+1=4, so p=4p=4 and the solution is (3,1,4)(3,1,4).
2
  • (100124139)(xyz)=(2920)\begin{pmatrix}1&0&0\\1&2&4\\1&3&9\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}2\\9\\20\end{pmatrix}
  • (100124139)1=(1005/63/22/31/61/21/3)\begin{pmatrix}1&0&0\\1&2&4\\1&3&9\end{pmatrix}^{-1}=\begin{pmatrix}1&0&0\\-5/6&3/2&-2/3\\1/6&-1/2&1/3\end{pmatrix}
  • (xyz)=(1005/63/22/31/61/21/3)(2920)\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}1&0&0\\-5/6&3/2&-2/3\\1/6&-1/2&1/3\end{pmatrix}\begin{pmatrix}2\\9\\20\end{pmatrix}
  • x=2x=2
  • y=32y=-\tfrac32
  • z=52z=\tfrac52
  • q(1)=3q(1)=3
7
(7 marks)7
Notes
The three given values give A(xyz)=(2920)A\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}2\\9\\20\end{pmatrix}, where A=(100124139)A=\begin{pmatrix}1&0&0\\1&2&4\\1&3&9\end{pmatrix} and A1=(1005/63/22/31/61/21/3)A^{-1}=\begin{pmatrix}1&0&0\\-5/6&3/2&-2/3\\1/6&-1/2&1/3\end{pmatrix}. Therefore (xyz)=A1(2920)=(23/25/2)\begin{pmatrix}x\\y\\z\end{pmatrix}=A^{-1}\begin{pmatrix}2\\9\\20\end{pmatrix}=\begin{pmatrix}2\\-3/2\\5/2\end{pmatrix}. Substitution into the quadratic then gives q(1)=23/2+5/2=3q(1)=2-3/2+5/2=3.
3
  • (111120012)(xyz)=(4113p1)\begin{pmatrix}1&1&1\\1&2&0\\0&1&2\end{pmatrix}\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}4\\11-3p\\1\end{pmatrix}
  • A1=(4/31/32/32/32/31/31/31/31/3)A^{-1}=\begin{pmatrix}4/3&-1/3&-2/3\\-2/3&2/3&1/3\\1/3&-1/3&1/3\end{pmatrix}
  • (xyz)=A1(4113p1)\begin{pmatrix}x\\y\\z\end{pmatrix}=A^{-1}\begin{pmatrix}4\\11-3p\\1\end{pmatrix}
  • x=p+1x=p+1
  • y=52py=5-2p
  • z=p2z=p-2
  • 2<p<522<p<\dfrac52
7
(7 marks)7
Notes
The coefficient matrix is A=(111120012)A=\begin{pmatrix}1&1&1\\1&2&0\\0&1&2\end{pmatrix}, with A1=(4/31/32/32/32/31/31/31/31/3)A^{-1}=\begin{pmatrix}4/3&-1/3&-2/3\\-2/3&2/3&1/3\\1/3&-1/3&1/3\end{pmatrix}. Multiplying A1(4113p1)A^{-1}\begin{pmatrix}4\\11-3p\\1\end{pmatrix} gives x=p+1x=p+1, y=52py=5-2p and z=p2z=p-2. Positivity requires p>1p>-1, p<5/2p<5/2 and p>2p>2 respectively. Their intersection is 2<p<5/22<p<5/2.
4
  • detA=1\det A=1
  • adjA=(101011111)\operatorname{adj}A=\begin{pmatrix}-1&0&1\\0&-1&1\\1&1&-1\end{pmatrix}
  • A1=(101011111)A^{-1}=\begin{pmatrix}-1&0&1\\0&-1&1\\1&1&-1\end{pmatrix}
  • (xyz)=A1(302842)\begin{pmatrix}x\\y\\z\end{pmatrix}=A^{-1}\begin{pmatrix}30\\28\\42\end{pmatrix}
  • (x,y,z)=(12,14,16)(x,y,z)=(12,14,16)
  • (pqr)=A1(444061)\begin{pmatrix}p\\q\\r\end{pmatrix}=A^{-1}\begin{pmatrix}44\\40\\61\end{pmatrix}
  • (p,q,r)=(17,21,23)(p,q,r)=(17,21,23)
7
(7 marks)7
Notes
The determinant of AA is 11 and its adjugate is (101011111)\begin{pmatrix}-1&0&1\\0&-1&1\\1&1&-1\end{pmatrix}, so this is also A1A^{-1}. Reusing the inverse gives A1(30,28,42)T=(12,14,16)TA^{-1}(30,28,42)^T=(12,14,16)^T and A1(44,40,61)T=(17,21,23)TA^{-1}(44,40,61)^T=(17,21,23)^T. Multiplication by AA reproduces the two stated right-hand sides.
5
  • (101021211)(abc)=(518)\begin{pmatrix}1&0&1\\0&2&1\\2&-1&1\end{pmatrix}\begin{pmatrix}a\\b\\c\end{pmatrix}=\begin{pmatrix}5\\1\\8\end{pmatrix}
  • det(101021211)=1\det\begin{pmatrix}1&0&1\\0&2&1\\2&-1&1\end{pmatrix}=-1
  • A1=(312211412)A^{-1}=\begin{pmatrix}-3&1&2\\-2&1&1\\4&-1&-2\end{pmatrix}
  • (a,b,c)=(2,1,3)(a,b,c)=(2,-1,3)
  • z=2xy+3z=2x-y+3
  • At (3,4)(3,4), z=5z=5
  • The plane meets x=yx=y, z=0z=0 at (3,3,0)(-3,-3,0)
7
(7 marks)7
Notes
Substitution of the three points gives A(a,b,c)T=(5,1,8)TA(a,b,c)^T=(5,1,8)^T, where A=(101021211)A=\begin{pmatrix}1&0&1\\0&2&1\\2&-1&1\end{pmatrix}. Its determinant is 1-1 and A1=(312211412)A^{-1}=\begin{pmatrix}-3&1&2\\-2&1&1\\4&-1&-2\end{pmatrix}. Hence (a,b,c)T=A1(5,1,8)T=(2,1,3)T(a,b,c)^T=A^{-1}(5,1,8)^T=(2,-1,3)^T, so the plane is z=2xy+3z=2x-y+3. At (3,4)(3,4) this gives z=5z=5. On x=y=tx=y=t and z=0z=0, the equation becomes 0=t+30=t+3, so the meeting point is (3,3,0)(-3,-3,0).

CP-3.8 · Interpret geometrically the solution and failure of solution of three simultaneous linear equations.

Tier 1 · Easy

Mark scheme for CP-3.8 Tier 1 · Easy
QuestionSchemeMarks
1
  • The three planes meet at the single point (1,2,3)(1,2,-3)
2
(2 marks)2
Notes
Each equation fixes one coordinate and represents a plane parallel to a coordinate plane. All three conditions hold only at (1,2,3)(1,2,-3), so the planes have one common point and the solution is unique.
2
  • The first two planes give kz=0kz=0
  • If k=0k=0, the planes form a sheaf with common line (x,y,z)=(1,2,t)(x,y,z)=(1,2,t), tRt\in\mathbb R
  • If k0k\ne0, the planes meet at the unique point (1,2,0)(1,2,0)
3
(3 marks)3
Notes
The first two planes force x=1x=1 and y=2y=2. The third then becomes kz=0kz=0. If k=0k=0, every real zz is allowed, so the planes form a sheaf with common line (1,2,t)(1,2,t). If k0k\ne0, then z=0z=0, so the planes meet at the unique point (1,2,0)(1,2,0).

Tier 2 · Standard

Mark scheme for CP-3.8 Tier 2 · Standard
QuestionSchemeMarks
1
  • For k=2k=2, there are infinitely many solutions on a common line
  • For k2k\ne2, there is no common point
4
(4 marks)4
Notes
The left side of the second equation is twice the left side of the first. If k=2k=2, the first two planes coincide, and this plane meets the third plane in a line, giving infinitely many solutions. If k2k\ne2, the first two planes are distinct and parallel, so no point can satisfy both and the system has no solution.
2
  • For k4k\ne4, x=2k7k4x=\dfrac{2k-7}{k-4}
  • For k4k\ne4, y=1k4y=-\dfrac1{k-4}
  • For k4k\ne4, z=k3k4z=\dfrac{k-3}{k-4}
  • k=4k=4 gives no common point
  • At k=4k=4, the planes form a prism because they intersect pairwise but have no common point
5
(5 marks)5
Notes
The first two equations give x=2yx=2-y and z=1yz=1-y. Substitution in the third gives 5+(k4)y=45+(k-4)y=4. Hence, for k4k\ne4, y=1/(k4)y=-1/(k-4), so x=(2k7)/(k4)x=(2k-7)/(k-4) and z=(k3)/(k4)z=(k-3)/(k-4); the planes meet at this unique point. For k=4k=4, the third normal is the first normal plus three times the second, but the corresponding right-hand sides would require 4=2+3(1)=54=2+3(1)=5. The system is inconsistent, and the three normals are pairwise non-parallel, so the planes form a prism.
3
  • The third equation is twice the first equation minus the second equation
  • Eliminating xx from the first two equations gives 7y5z=77y-5z=7
  • x=1+3tx=1+3t, y=15ty=1-5t and z=7tz=-7t, where tRt\in\mathbb R
  • r=(110)+t(357)\mathbf r=\begin{pmatrix}1\\1\\0\end{pmatrix}+t\begin{pmatrix}3\\-5\\-7\end{pmatrix}, tRt\in\mathbb R
  • The three planes form a sheaf with infinitely many solutions on their common line
5
(5 marks)5
Notes
Twice the first equation minus the second gives x+5y4z=4-x+5y-4z=4, so the third equation is dependent. Eliminating xx from the first two equations gives 7y5z=77y-5z=7. Taking z=7tz=-7t gives y=15ty=1-5t and then x=1+3tx=1+3t. Hence the solution set is r=(110)+t(357)\mathbf r=\begin{pmatrix}1\\1\\0\end{pmatrix}+t\begin{pmatrix}3\\-5\\-7\end{pmatrix}. All three planes contain this line, so they form a sheaf.

Tier 3 · Hard

Mark scheme for CP-3.8 Tier 3 · Hard
QuestionSchemeMarks
1
  • k=3k=3 gives a common line and infinitely many solutions
  • For k3k\ne3 there is no common point
5
(5 marks)5
Notes
Adding the first two equations gives 3x+2z=33x+2z=3. Therefore, when k=3k=3, the third equation is the sum of the first two and contains their line of intersection, so all three planes share that line. When k3k\ne3, any point on the first two planes must satisfy 3x+2z=33x+2z=3 and so cannot lie on the third plane; there is no common point.
2
  • The coefficient determinant is (k1)(k2)(k-1)(k-2)
  • If k1,2k\ne1,2, the unique point is (2k7k2,k5k2,3k2)\left(\dfrac{2k-7}{k-2},\dfrac{k-5}{k-2},\dfrac3{k-2}\right)
  • At k=1k=1, the third equation is the sum of the first two
  • If k=1k=1, the planes form a sheaf with common line (x,y,z)=(2t,1t,t)(x,y,z)=(2-t,1-t,t), tRt\in\mathbb R
  • At k=2k=2, the first two planes force xy=1x-y=1 but the third plane requires xy=4x-y=4
  • If k=2k=2, the planes form a prism, so there is no common point
6
(6 marks)6
Notes
The coefficient determinant is (k1)(k2)(k-1)(k-2). For k1,2k\ne1,2, the first two equations give x=2zx=2-z and y=1zy=1-z; substitution yields (k1)(k2)z=3(k1)(k-1)(k-2)z=3(k-1), so z=3/(k2)z=3/(k-2) and the stated x,yx,y follow. At k=1k=1, the third equation is the sum of the first two, so the planes form a sheaf with common line (2t,1t,t)(2-t,1-t,t). At k=2k=2, the third equation is xy=4x-y=4, whereas the first two force xy=1x-y=1. The normals are coplanar but the system is inconsistent, so the planes form a prism.
3
  • Π1Π2:r=(201)+t(412)\Pi_1\cap\Pi_2: \mathbf r=\begin{pmatrix}2\\0\\1\end{pmatrix}+t\begin{pmatrix}-4\\1\\2\end{pmatrix}
  • Π1Π3:r=(420)+t(412)\Pi_1\cap\Pi_3: \mathbf r=\begin{pmatrix}4\\2\\0\end{pmatrix}+t\begin{pmatrix}-4\\1\\2\end{pmatrix}
  • Π2Π3:r=(701)+t(412)\Pi_2\cap\Pi_3: \mathbf r=\begin{pmatrix}7\\0\\1\end{pmatrix}+t\begin{pmatrix}-4\\1\\2\end{pmatrix}
  • All three pairwise intersection lines have direction (412)\begin{pmatrix}-4\\1\\2\end{pmatrix}
  • The three pairwise intersection lines are distinct
  • Π1\Pi_1 and Π2\Pi_2 imply x+2y+z=3x+2y+z=3, which contradicts Π3\Pi_3
  • The planes have no common point and form a prism
7
(7 marks)7
Notes
Solving each pair gives Π1Π2:r=(201)+t(412)\Pi_1\cap\Pi_2: \mathbf r=\begin{pmatrix}2\\0\\1\end{pmatrix}+t\begin{pmatrix}-4\\1\\2\end{pmatrix}, Π1Π3:r=(420)+t(412)\Pi_1\cap\Pi_3: \mathbf r=\begin{pmatrix}4\\2\\0\end{pmatrix}+t\begin{pmatrix}-4\\1\\2\end{pmatrix} and Π2Π3:r=(701)+t(412)\Pi_2\cap\Pi_3: \mathbf r=\begin{pmatrix}7\\0\\1\end{pmatrix}+t\begin{pmatrix}-4\\1\\2\end{pmatrix}. Their common direction and different base points show that the three lines are parallel and distinct. Adding the first two plane equations gives x+2y+z=3x+2y+z=3, whereas Π3\Pi_3 requires this expression to equal 88. Hence there is no common point, and the planes form a prism.
4
  • The coefficient determinant is (k6)(k7)(k-6)(k-7)
  • If k6,7k\ne6,7, the three planes meet in a point
  • When k=6k=6, the left side of Π3\Pi_3 is x+yx+y
  • If k=6k=6 and c=8c=8, Π1\Pi_1 and Π3\Pi_3 are coincident, and the common line is r=(803)+t(111)\mathbf r=\begin{pmatrix}8\\0\\-3\end{pmatrix}+t\begin{pmatrix}-1\\1\\-1\end{pmatrix}
  • If k=6k=6 and c8c\ne8, the planes are otherwise inconsistent
  • When k=7k=7, the left side of Π3\Pi_3 is the sum of the left sides of Π1\Pi_1 and Π2\Pi_2
  • If k=7k=7 and c=5c=5, the planes form a sheaf with common line r=(803)+t(111)\mathbf r=\begin{pmatrix}8\\0\\-3\end{pmatrix}+t\begin{pmatrix}-1\\1\\-1\end{pmatrix}
  • If k=7k=7 and c5c\ne5, the planes form a prism
8
(8 marks)8
Notes
The coefficient determinant is (k6)(k7)(k-6)(k-7), so for k6,7k\ne6,7 the planes meet in a point. At k=6k=6, Π3\Pi_3 has left side x+yx+y: it is coincident with Π1\Pi_1 when c=8c=8, giving the common line (x,y,z)=(8t,t,3t)(x,y,z)=(8-t,t,-3-t), and otherwise the planes are inconsistent because Π1\Pi_1 and Π3\Pi_3 are distinct and parallel. At k=7k=7, the third left side is (x+y)+(y+z)(x+y)+(y+z). The first two right sides sum to 55, so c=5c=5 gives a sheaf on the same common line. If c5c\ne5, each pair of planes meets but no point lies on all three, so they form a prism.