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Topic 1.14 · HL only

Matrices (definition, algebra, multiplication, solving systems of equations): notes and practice questions

Summary
  • Matrix order: m×nm \times n (rows x columns); elements: ai,ja_{i,j}.
  • Square matrix: m=nm=n.
  • Zero matrix (OO): All elements are 0.
  • Identity matrix (II): Square matrix with 1s on main diagonal, 0s elsewhere. For 2×22 \times 2:

I=(1001)I = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}

  • Addition/Subtraction: Matrices must have the same order; add/subtract corresponding elements.
  • Commutative: A+B=B+AA + B = B + A.
  • Associative: A+(B+C)=(A+B)+CA + (B + C) = (A + B) + C.
  • Identity: A+O=AA + O = A.
  • Scalar Multiplication: Multiply every element of the matrix by the scalar.
  • Matrix Multiplication Condition: Number of columns in 1st matrix must equal number of rows in 2nd matrix (m×nm \times n by n×pn \times p).
  • Resulting Matrix Order: m×pm \times p.
  • Matrix Multiplication Method: Multiply corresponding elements of rows of 1st matrix by columns of 2nd matrix, then sum.
  • Matrix Multiplication Properties:
  • Non-commutative: AB≠BAAB \neq BA.
  • Associative: A(BC)=(AB)CA(BC) = (AB)C.
  • Distributive: A(B+C)=AB+ACA(B + C) = AB + AC.
  • Identity Law: AI=IA=AAI = IA = A.
  • Powers of Matrices: Only for square matrices (e.g., A2=AAA^2 = AA).
  • Determinant of a 2×22 \times 2 matrix A=(abcd)A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}:

det⁡A=∣A∣=ad−bc\det A = |A| = ad - bc

  • Inverse of a 2×22 \times 2 matrix A−1A^{-1}:

A−1=1det⁡A(d−b−ca)A^{-1} = \frac{1}{\det A} \begin{pmatrix} d & -b \\ -c & a \end{pmatrix}

  • Invertibility: Matrix is invertible if det⁡A≠0\det A \neq 0.
  • Singular Matrix: Matrix is singular (no inverse) if det⁡A=0\det A = 0.
  • Solving matrix equations:
  • If AB=CAB = C, then B=A−1CB = A^{-1}C (pre-multiply by A−1A^{-1}).
  • If BA=CBA = C, then B=CA−1B = CA^{-1} (post-multiply by A−1A^{-1}).
  • Solving systems of linear equations:
  • Write in matrix form AX=BAX = B:

(abcd)(xy)=(ef)\begin{pmatrix} a & b \\ c & d \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} = \begin{pmatrix} e \\ f \end{pmatrix}

  • Solve for variables: X=A−1BX = A^{-1}B.
  • GDC Use: Input matrices, perform arithmetic, calculate determinants (`det()`) and inverses (x−1x^{-1}), use dedicated simultaneous equation solver.

How it is examined

Bigger matrices lean entirely on the GDC, so the hand-calculable content is the 2×22 \times 2 determinant and inverse, which is also the base case examiners can mark step by step. Solving Ax=bA\mathbf{x} = \mathbf{b} via x=A−1b\mathbf{x} = A^{-1}\mathbf{b} is a standard multi-mark question, and the guaranteed invertibility of AA means a student never has to notice or handle a singular matrix here, that case is reserved for eigenvectors in AHL 1.15.

Given in the booklet

For a 2×22 \times 2 matrix A=(abcd)A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}, the determinant det⁡A=ad−bc\det A = ad - bc and the inverse A−1=1ad−bc(d−b−ca)A^{-1} = \dfrac{1}{ad-bc}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}.

Key ideas
  • Define a matrix: the terms element, row, column and order for m×nm \times n matrices.
  • Work with the algebra of matrices: equality, addition, subtraction and multiplication by a scalar for m×nm \times n matrices, and multiplication of matrices, including with technology.
  • Use the properties of matrix multiplication: associativity, distributivity, and non-commutativity.
  • Use identity and zero matrices, notation II and 0\mathbf{0}.

Linking questions

  • Other contexts: comparing sales, revenue or profit for several products over several weeks.
  • TOK: matrices connect disparate parts of mathematics. Is that evidence for a simple underlying mathematical reality?

Practice questions

35 questions · 24 medium · 11 hard
Showing 20 of 20

Question 1

MediumPaper 1 · calculator7 marks
(a)

A celestial mapping transformation S:(xy)↦(x′y′)S: \begin{pmatrix} x \\ y \end{pmatrix} \mapsto \begin{pmatrix} x' \\ y' \end{pmatrix} is defined by

S:(x′y′)=(5−82−3)(xy)+(−73)S: \begin{pmatrix} x' \\ y' \end{pmatrix} = \begin{pmatrix} 5 & -8 \\ 2 & -3 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} + \begin{pmatrix} -7 \\ 3 \end{pmatrix}.

(a) Find the coordinates of the image of the star system located at (4, -1).

[2]
(b)

(b) Given that a specific cosmic dust cloud, located at (pq)\begin{pmatrix} p \\ q \end{pmatrix}, is mapped to 3(pq)3\begin{pmatrix} p \\ q \end{pmatrix} by the transformation SS, find the value of pp and the value of qq.

[3]
(c)

(c) A nebula with a certain area in the celestial plane is transformed by SS. Explain why the transformed nebula will have exactly the same area as the original nebula.

[2]

Question 2

HardPaper 1 · calculator12 marks
(a)

(a) Solve the following matrix equation for XX:

2X+(41−23)=(1070−1)2X + \begin{pmatrix} 4 & 1 \\ -2 & 3 \end{pmatrix} = \begin{pmatrix} 10 & 7 \\ 0 & -1 \end{pmatrix}

[3]
(b)

(b) Solve the following matrix equation for XX:

(3211)X=(7−120)\begin{pmatrix} 3 & 2 \\ 1 & 1 \end{pmatrix} X = \begin{pmatrix} 7 & -1 \\ 2 & 0 \end{pmatrix}

[4]
(c)

(c) Solve the following matrix equation for XX:

X(4−1−31)−(021−1)=(15−23)X \begin{pmatrix} 4 & -1 \\ -3 & 1 \end{pmatrix} - \begin{pmatrix} 0 & 2 \\ 1 & -1 \end{pmatrix} = \begin{pmatrix} 1 & 5 \\ -2 & 3 \end{pmatrix}

[5]

Question 3

MediumPaper 1 · calculator7 marks
(a)

A civil engineer is designing a new road. A preliminary section of the road is modelled by a straight line with equation y=kx+dy = kx + d.

Find the vectors a\mathbf{a} and b\mathbf{b} such that the equation of the line can be expressed in vector form r=a+λb\mathbf{r} = \mathbf{a} + \lambda \mathbf{b} in terms of kk and/or dd.

[2]
(b)

Before construction, a ground transformation is applied to the design. This transformation is described by the matrix T=(4263)T = \begin{pmatrix} 4 & 2 \\ 6 & 3 \end{pmatrix}.

Calculate the value of det⁡T\det T.

[1]
(c)

The preliminary road section y=kx+dy = kx + d (where k≠−2k \neq -2) undergoes the transformation described by matrix TT.

Show that the equation of the resulting transformed path does not depend on kk or dd.

[4]

Question 4

HardPaper 2 · calculator13 marks
(a)

In a digital art project, points on a canvas are transformed using a matrix operation followed by a translation. The transformation maps an original point (x,y)(x, y) to its new position (x′,y′)(x', y') according to the rule:

(x′y′)=(2−134)(xy)+(−31)\begin{pmatrix} x' \\ y' \end{pmatrix} = \begin{pmatrix} 2 & -1 \\ 3 & 4 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} + \begin{pmatrix} -3 \\ 1 \end{pmatrix}

(a) Find the new position of a design element originally located at (4,−2)(4, -2).

[3]
(b)

(b) A specific design feature is observed at the new position (−1,10)(-1, 10). Determine its original coordinates.

[6]
(c)

(c) An artist uses a series of points (k,k−1)(k, k-1) to draw a line segment. Find the general expression for the transformed coordinates of these points in terms of kk.

[4]

Question 5

MediumPaper 1 · calculator8 marks
(a)

A graphic designer uses a transformation to scale a company logo. The transformation TT is represented by the matrix M=(3214)M = \begin{pmatrix} 3 & 2 \\ 1 & 4 \end{pmatrix}.

The original logo has an area of 8 cm28 \text{ cm}^2.

Find the area of the scaled logo.

[2]
(b)

Under the transformation TT, a specific point on the scaled logo has coordinates (5t+1,2t−3)(5t + 1, 2t - 3), where t∈Rt \in \mathbb{R}.

Find, in terms of tt, the coordinates of the original point on the logo.

[6]

Question 6

HardPaper 1 · calculator9 marks
(a)

A new streaming service, CineStream (C), enters the market, competing with the established service, FilmFlick (F).

Market research shows that each month:

  • 10% of CineStream subscribers switch to FilmFlick.
  • 30% of FilmFlick subscribers switch to CineStream.

The transition matrix TT describing these changes, where the rows and columns are ordered (CineStream, FilmFlick), is given as T=(0.900.300.100.70)T = \begin{pmatrix} 0.90 & 0.30 \\ 0.10 & 0.70 \end{pmatrix}.

The two eigenvalues for this matrix are 11 and 0.600.60. An eigenvector corresponding to the eigenvalue of 11 is (31)\begin{pmatrix} 3 \\ 1 \end{pmatrix}.

Find an eigenvector corresponding to the eigenvalue of 0.600.60.

[2]
(b)

A diagonal matrix of eigenvalues is D=(0.60001)D = \begin{pmatrix} 0.60 & 0 \\ 0 & 1 \end{pmatrix}.

Write down an expression for DnD^n, giving your answer as a 2×22 \times 2 matrix in terms of nn.

[1]
(c)

When CineStream and FilmFlick first launched, there were a total of 80008000 users, all of whom initially subscribed to CineStream.

Assuming the total number of users remains constant, find an expression for the number of users who will favour FilmFlick after nn months.

[6]

Question 7

MediumPaper 1 · calculator7 marks
(a)

A digital artist is manipulating an image on a screen. The image undergoes two successive linear transformations. The first transformation, T1T_1, is represented by the matrix A=(2−113)A = \begin{pmatrix} 2 & -1 \\ 1 & 3 \end{pmatrix}. The second transformation, T2T_2, is represented by the matrix B=(41−20)B = \begin{pmatrix} 4 & 1 \\ -2 & 0 \end{pmatrix}.

(i) Determine the single matrix, MM, that represents the combined transformation of applying T1T_1 followed by T2T_2.

(ii) Find the inverse matrix, M−1M^{-1}, which would transform the final image back to its original state.

[4]
(b)

The original image has an area of 49 cm2^2. Calculate the area of the image after both transformations have been applied.

[3]

Question 8

HardPaper 2 · calculator16 marks
(a)

A scientific experiment involves a platform that oscillates with damped motion. The displacement, xx, of the platform, measured in centimetres from its equilibrium position, can be modelled by the second order differential equation:

x¨+5x˙+4x=0\ddot{x} + 5\dot{x} + 4x = 0, where tt is the time in seconds after the initial displacement.

Given that y=x˙y = \dot{x}, show that y˙=−4x−5y\dot{y} = -4x - 5y.

[2]
(b)

The differential equation can be expressed in the form (x˙y˙)=A(xy)\begin{pmatrix} \dot{x} \\ \dot{y} \end{pmatrix} = A \begin{pmatrix} x \\ y \end{pmatrix}, where A is a 2×22 \times 2 matrix.

Write down the matrix A.

[1]
(c)(i)

Find the eigenvalues of matrix A.

[3]
(c)(ii)

Find the eigenvectors of matrix A.

[4]
(d)

Given that at t=0t = 0, the platform is displaced 66 cm from equilibrium and its velocity is 33 cm/s, find an expression for xx in terms of tt.

[6]

Question 9

MediumPaper 1 · calculator7 marks
(a)

A market research company studies the customer loyalty between two competing streaming services, StreamSphere (S) and CineFlow (C), over a number of months.

Each month, customers either maintain their current subscription or switch to the other service.

In any given month, it is observed that the probability of a StreamSphere customer remaining with StreamSphere the following month is 0.85, and the probability of a CineFlow customer switching to StreamSphere the following month is 0.20.

This situation can be represented by the transition matrix

T=(0.850.200.150.80)\mathbf{T} = \begin{pmatrix} 0.85 & 0.20 \\ 0.15 & 0.80 \end{pmatrix}

Interpret the value 0.15 in T\mathbf{T} in terms of the changes in customer loyalty between the streaming services.

[1]
(b)

Find the eigenvalues of matrix T\mathbf{T}.

[3]
(c)

One of the eigenvectors of T\mathbf{T} is (1−1)\begin{pmatrix} 1 \\ -1 \end{pmatrix}.

Find another, non-parallel, eigenvector and interpret it in context.

[3]

Question 10

HardPaper 2 · calculator22 marks
(a)(i)

The concentration of a chemical, CC (in mol dm−3^{-3}), in a reaction vessel at time tt seconds is modelled by the differential equation

d2Cdt2+7dCdt+10C=0\frac{\mathrm{d}^2C}{\mathrm{d}t^2} + 7\frac{\mathrm{d}C}{\mathrm{d}t} + 10C = 0

(a) (i) Use the substitution V=dCdtV = \frac{\mathrm{d}C}{\mathrm{d}t} to show that this equation can be written as

(dCdtdVdt)=(01−10−7)(CV)\begin{pmatrix} \frac{\mathrm{d}C}{\mathrm{d}t} \\ \frac{\mathrm{d}V}{\mathrm{d}t} \end{pmatrix} = \begin{pmatrix} 0 & 1 \\ -10 & -7 \end{pmatrix} \begin{pmatrix} C \\ V \end{pmatrix}.

[5]
(a)(ii)

(ii) Find the eigenvalues for the matrix (01−10−7)\begin{pmatrix} 0 & 1 \\ -10 & -7 \end{pmatrix}.

[3]
(a)(iii)

(iii) Hence state the long-term rate of change of the chemical concentration.

[1]
(b)(i)

The chemical reaction is now subjected to an external input, and the equation for the concentration is amended to

d2Cdt2+7dCdt+10C=2t+5\frac{\mathrm{d}^2C}{\mathrm{d}t^2} + 7\frac{\mathrm{d}C}{\mathrm{d}t} + 10C = 2t + 5.

(b) (i) Use the substitution V=dCdtV = \frac{\mathrm{d}C}{\mathrm{d}t} to write the differential equation as a system of coupled, first order differential equations. State the initial conditions given that, at t=0t = 0, the concentration of chemical C is 11 mol dm−3^{-3} and its rate of change is 00 mol dm−3^{-3} s−1^{-1}.

[3]
(b)(ii)

(ii) Use Euler's method with a step length of 0.10.1 to find the concentration of the chemical when t=1t = 1 s. Give your answer to three significant figures.

[7]
(b)(iii)

(iii) Find the long-term rate of change of the chemical concentration.

[3]

Question 11

MediumPaper 1 · calculator8 marks
(a)

A drone's camera gimbal can rotate to adjust its view. The transformation matrix R(θ)R(\theta) that rotates a point (x,y)(x, y) on the camera's image plane counter-clockwise about the origin through an angle θ\theta is given by:

R(θ)=(cos⁡θ−sin⁡θsin⁡θcos⁡θ)R(\theta) = \begin{pmatrix} \cos \theta & -\sin \theta \\ \sin \theta & \cos \theta \end{pmatrix}

The drone needs to perform a total rotation of 2θ2\theta for a panoramic shot. Write down the matrix R(2θ)R(2\theta) that represents this single combined rotation.

[2]
(b)

Alternatively, the drone's gimbal controller performs two consecutive rotations, each through an angle of θ\theta. Calculate the resulting transformation matrix when R(θ)R(\theta) is applied twice, i.e., R(θ)×R(θ)R(\theta) \times R(\theta).

[2]
(c)(i)

By comparing your results from part (a) and part (b), explain how the identity sin⁡(2θ)=2sin⁡(θ)cos⁡(θ)\sin(2\theta) = 2\sin(\theta)\cos(\theta) can be derived.

[2]
(c)(ii)

Using the same comparison as in part (c.i), and the Pythagorean identity sin⁡2θ+cos⁡2θ=1\sin^2\theta + \cos^2\theta = 1, show that cos⁡(2θ)=1−2sin⁡2(θ)\cos(2\theta) = 1 - 2\sin^2(\theta).

[2]

Question 12

HardPaper 2 · calculator18 marks
(a)

(a) An architect is designing a modular facade for a building. Each module is based on a fundamental rectangular panel, PP. The vertices of panel PP are (0,0)(0,0), (3,0)(3,0), (3,2)(3,2), and (0,2)(0,2).

Show that the area of the panel PP is 66 square units.

[2]
(b)(i)

(b) The design incorporates 30 elements, each obtained by transforming the panel PP. These elements form a symmetric pattern, with the y-axis acting as a line of symmetry.

The transformation that produces each of the elements on the right side of the design can be represented by a matrix of the form

Mk=((1−k15)cos⁡(k×12°)−(1−k15)sin⁡(k×12°)(1−k15)sin⁡(k×12°)(1−k15)cos⁡(k×12°))M_k = \begin{pmatrix} (1-\frac{k}{15})\cos(k\times12\degree) & -(1-\frac{k}{15})\sin(k\times12\degree) \\ (1-\frac{k}{15})\sin(k\times12\degree) & (1-\frac{k}{15})\cos(k\times12\degree) \end{pmatrix}

where k=0,1,2,...,14k = 0, 1, 2, ..., 14.

(i) Find the matrix M0M_0. Give your answer in the form (abcd)\begin{pmatrix} a & b \\ c & d \end{pmatrix} where a,b,c,d∈Qa, b, c, d \in \mathbb{Q}.

[2]
(b)(ii)

(ii) Hence find the coordinates of the image of the vertex (3,2)(3,2) after it is transformed by the matrix M0M_0.

[2]
(c)(i)

(c) The matrix MkM_k can be expressed as the product of a rotation matrix and an enlargement matrix.

(i) Write down, in terms of kk, the rotation matrix.

[1]
(c)(ii)

(ii) Write down, in terms of kk, the enlargement matrix.

[1]
(c)(iii)

(iii) Write down, in terms of kk, the angle of the rotation.

[1]
(c)(iv)

(iv) Write down, in terms of kk, the scale factor of the enlargement.

[1]
(d)

(d) Using your answer to part (c)(iv), or otherwise, find the determinant of the matrix MkM_k in terms of kk.

[2]
(e)

(e) Hence, or otherwise, find the total area of the elements in the whole design. Give your answer to three significant figures.

[4]
(f)

(f) Each element on the left side of the design can be obtained through a transformation of the panel PP by applying the matrix NkN_k, where k=0,1,2,...,14k = 0, 1, 2, ..., 14.

Write down the matrix NkN_k as a product of two matrices.

[2]

Question 13

MediumPaper 1 · calculator22 marks
(a)

A manufacturing company, 'GlobalTech', tracks its daily production and operational parameters using matrices. The following matrices represent various aspects of their operations:

  • PP: Daily production output from Department Alpha (units of Product X, Product Y)
  • QQ: Daily production output from Department Beta (units of Product X, Product Y)
  • DD: Daily market demand fluctuations (changes in demand for Product X, Product Y)
  • TT: Efficiency transformation matrix for resource allocation across three stages (Stage 1, Stage 2, Stage 3)

The matrices are given as:

P=(42−13)P = \begin{pmatrix} 4 & 2 \\ -1 & 3 \end{pmatrix}, Q=(1−120)Q = \begin{pmatrix} 1 & -1 \\ 2 & 0 \end{pmatrix}, D=(−213−4)D = \begin{pmatrix} -2 & 1 \\ 3 & -4 \end{pmatrix}, T=(10−12−31)T = \begin{pmatrix} 1 & 0 & -1 \\ 2 & -3 & 1 \end{pmatrix}

Without using the matrix utility on your GDC, calculate the combined adjusted production output if Department Alpha's output is tripled and Department Beta's output is doubled, represented by 3P+2Q3P + 2Q.

[3]
(b)

Without using the matrix utility on your GDC, determine the net difference in production between Department Alpha and Department Beta, represented by P−QP - Q.

[2]
(c)

Without using the matrix utility on your GDC, find the impact of Department Alpha's production on market demand fluctuations, represented by PDP D.

[3]
(d)

Without using the matrix utility on your GDC, calculate the effect of market demand fluctuations on the efficiency transformation across stages, represented by DTD T.

[4]
(e)

Without using the matrix utility on your GDC, determine the result of Department Alpha's production being applied twice, represented by P2P^2.

[3]
(f)

Without using the matrix utility on your GDC, find the inverse of Department Alpha's production matrix, P−1P^{-1}.

[3]
(g)

Without using the matrix utility on your GDC, calculate the adjusted production output for Department Beta if a fixed output reduction of 3 units for each product is applied, represented by Q−3IQ - 3I, where II is the 2×22 \times 2 identity matrix.

[2]
(h)

Without using the matrix utility on your GDC, explain why the operation PT+QP T + Q is not possible.

[2]

Question 14

HardPaper 2 · calculator16 marks
(a)

(a) A student's study habits are modelled by a Markov chain. If the student studies Mathematics (M) on a given day, the probability they study Mathematics the following day is 0.750.75. If the student studies Physics (P) on a given day, the probability they study Physics the following day is 0.850.85.

Write down a transition matrix, TT, that shows the movement of the student's study focus between Mathematics and Physics.

[2]
(b)

(b) On Monday, a student spent their study time on Mathematics. Find the probability that the student will be studying Physics on Friday.

[3]
(c)

(c) Write down the characteristic polynomial for the matrix TT. Give your answer in the form λ2+bλ+c=0\lambda^2 + b\lambda + c = 0.

[2]
(d)

(d) Calculate the eigenvectors for the matrix TT.

[4]
(e)

(e) Write down matrices PP and DD such that T=PDP−1T= PDP^{-1}, where DD is a diagonal matrix.

[2]
(f)

(f) Hence, find the long-term probability that the student is studying Physics.

[3]

Question 15

MediumPaper 2 · calculator10 marks
(a)

A team of researchers is studying the population dynamics of two interacting species, represented by a system of linear differential equations. The transition matrix for the system over a certain period is given by A=(3214)A = \begin{pmatrix} 3 & 2 \\ 1 & 4 \end{pmatrix}.

(a) Show that the matrix AA satisfies the equation A2−7A+10I=0A^2 - 7A + 10I = 0, where II is the 2×22 \times 2 identity matrix.

[4]
(b)

(b) Hence express A3A^3 in the form pA+qIpA + qI.

[3]
(c)

(c) Hence express A4A^4 in the form rA+sIrA + sI.

[3]

Question 16

HardPaper 2 · calculator14 marks
(a)

A competitive market has two dominant smartphone brands, Aura and Zenith. Each year, it is observed that 15%15\% of Aura customers switch to Zenith, while 5%5\% of Zenith customers switch to Aura. All other customer movements are negligible.

Write down a transition matrix TT representing the customer movements between the two brands in a particular year. Assume the order of brands is Aura, then Zenith.

[2]
(b)

Find the eigenvalues and corresponding eigenvectors of TT.

[4]
(c)

Hence write down matrices PP and DD such that T=PDP−1T = PDP^{-1}.

[2]
(d)

Initially, Brand Aura has 100 000100\,000 customers and Brand Zenith has 200 000200\,000 customers.

Find an expression for the number of customers Brand Aura has after nn years, where n∈Nn \in \mathbb{N}.

[5]
(e)

Hence write down the number of customers that Brand Aura can expect to have in the long term.

[1]

Question 17

MediumPaper 1 · calculator8 marks
(a)

A furniture workshop produces three types of items: chairs, tables, and cabinets. Each item requires a specific amount of three different raw materials: wood, metal, and fabric.

To produce one chair, the workshop needs 22 units of wood, 11 unit of metal, and 33 units of fabric.

To produce one table, it needs 11 unit of wood, 22 units of metal, and 11 unit of fabric.

To produce one cabinet, it needs 33 units of wood, 11 unit of metal, and 22 units of fabric.

In a particular week, the workshop used a total of 4949 units of wood, 2828 units of metal, and 5151 units of fabric.

Let xx, yy, and zz represent the number of chairs, tables, and cabinets produced, respectively.

(a) Write this system of equations in the form AX=BAX = B, where AA, XX, and BB are matrices.

[2]
(b)

(b) Find the inverse matrix A−1A^{-1}.

[3]
(c)

(c) Hence, determine the number of chairs, tables, and cabinets produced that week.

[3]

Question 18

HardPaper 3 · calculator31 marks
(a)(i)

The following question explores a possible method of drawing phase portraits for non-linear coupled systems, taking a predator-prey model as a particular example.

A forest ecosystem contains a population of rabbits (xx, measured in hundreds), and a population of wolves (yy, measured in hundreds).

Research indicates that the population dynamics of both rabbits and wolves can be modelled by the following differential equations, in which tt is measured in years.

dxdt=3x−xy2\frac{dx}{dt} = 3x - \frac{xy}{2}

dydt=−2y+2xy5\frac{dy}{dt} = -2y + \frac{2xy}{5}

for x,y≥0x, y \ge 0

At a specific time, there are 400 rabbits and 400 wolves, represented here by the coordinate pair (4, 4). At this time, determine the rate of change of

rabbits.

[2]
(a)(ii)

wolves.

[1]
(b)(i)

There are two equilibrium points for the populations: A(0, 0) and B (p,qp, q).

Explain why A is an equilibrium point.

[1]
(b)(ii)

Find the value of pp and the value of qq.

[3]
(c)(i)

At points close to A(0, 0), we can ignore the xyxy terms, so that the system can be approximated by:

dxdt=3x\frac{dx}{dt} = 3x

dydt=−2y\frac{dy}{dt} = -2y

for x,y≥0x, y \ge 0.

By solving these two differential equations,

find an expression for xx in terms of tt.

[4]
(c)(ii)

find an expression for yy in terms of tt.

[1]
(d)(i)

Using your answers from part (c), show that phase portrait trajectories close to A may be given by the equation x2y3=kx^2y^3 = k, where kk is a positive constant.

[3]
(d)(ii)

Hence sketch, on a phase portrait, one possible trajectory for small values of xx and yy.

[3]
(e)

Now consider points (x,y)(x, y) close to B on the phase plane. These coordinates can be rewritten as x=p+Xx = p + X and y=q+Yy = q + Y, where pp and qq are the values from part (b)(ii).

By substituting into the original model, show that, for small values of XX and YY:

X˙≈−5Y2\dot{X} \approx -\frac{5Y}{2}

Similarly, it can be shown that Y˙≈12X5\dot{Y} \approx \frac{12X}{5}.

[3]
(f)

Given that (X˙Y˙)=M(XY)\begin{pmatrix} \dot{X} \\ \dot{Y} \end{pmatrix} = M \begin{pmatrix} X \\ Y \end{pmatrix}, where MM is a square matrix, write down MM.

[1]
(g)

By finding the eigenvalues of MM, describe the path of the trajectories close to point B.

[4]
(h)

Hence sketch a complete set of trajectories in the phase plane for the original model, clearly indicating both equilibrium points.

[3]
(i)

In this forest ecosystem, at a specific time, there are 400 rabbits and 400 wolves.

Based on the values found in part (a), the wildlife keeper is worried and assumes that the wolves will quickly die out. Suggest whether this assumption is supported by the model. Justify your answer.

[2]

Question 19

MediumPaper 1 · calculator9 marks

A charity organization held a fundraising event, selling three types of merchandise: t-shirts, mugs, and keychains. A total of 600600 items were sold.

The prices were $15\$15 for a t-shirt, $10\$10 for a mug, and $5\$5 for a keychain.

The number of keychains sold was one-quarter of the total number of items sold.

The total amount of money raised from the sales was $6250\$6250.

Use a matrix method to determine the number of mugs sold at the event.

Question 20

HardPaper 1 · calculator7 marks
(a)

A robotics engineer is programming a swarm of drones. The initial paths of the drones are given by a family of lines, LkL_k, with equation y=kx+(5−2k)y = kx + (5-2k), where kk is a real parameter and k≠−1.5k \neq -1.5.

A control signal applies a linear transformation to the coordinates of every drone, described by the matrix T=(32−6−4)T = \begin{pmatrix} 3 & 2 \\ -6 & -4 \end{pmatrix}.

The new path of a drone is the line Lk′L'_k.

(a) Find a vector equation for the line LkL_k in terms of kk.

[2]
(b)

(b) Find the determinant of TT.

[1]
(c)

(c) Show that all the drones will end up moving along the same path, by showing that the equation of the transformed line Lk′L'_k does not depend on kk.

[4]

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What does Matrices (definition, algebra, multiplication, solving systems of equations) cover in IB Maths AI?

Matrix order: m × n (rows x columns); elements: a_i,j. Square matrix: m=n. Zero matrix (O): All elements are 0.

Is Matrices (definition, algebra, multiplication, solving systems of equations) SL or HL?

Matrices (definition, algebra, multiplication, solving systems of equations) is HL only. SL students are not examined on it.

How do I revise Matrices (definition, algebra, multiplication, solving systems of equations) for IB Maths AI?

Start from the core idea: matrix order: m × n (rows x columns); elements: a_i,j. In the exam: bigger matrices lean entirely on the GDC, so the hand-calculable content is the 2 × 2 determinant and inverse, which is also the base case examiners can mark step by step. Solving Ax = b via x = A^-1b is a standard multi-mark question, and the guaranteed invertibility of A means a student never has to notice or handle a singular matrix here, that case is reserved for eigenvectors in AHL 1.15. Then practise exam-style questions, easiest first, writing out every step of your working before you check it.

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