5.17 Phase portraits questions for IB Maths AI

52 questions on Phase portraits, written by Augment in the style of IB exam papers. Six of them are below in full, to answer on paper.

  • IB Mathematics: Applications and Interpretation
  • Part of 5 Calculus
  • HL only

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Written by Augment in the style of IB exams, not past papers. Answer them on paper, then check each one against its markscheme with a free account.

Question 1 · AI-00662Paper 1 · 7 marks

Consider the system of coupled differential equations

dxdt=2x+y,dydt=3x+4y.
  1. (a)

    Find the eigenvalues of the matrix (2134).

    3 marks

  2. (b)

    Find an eigenvector for each eigenvalue.

    2 marks

  3. (c)

    Hence write down the general solution of the system.

    2 marks

Question 2 · AI-00279Paper 2 · 17 marks

In a nature reserve, a biologist, Nomvula, models the populations of deer and wolves close to an equilibrium. Let x and y be the differences, in hundreds, between the numbers of deer and wolves and their equilibrium values, t years after the start of the study. The model is

dxdt=−0.1x−2y,dydt=0.5x−0.1y.
  1. (a)

    Write down the matrix M such that (x˙y˙)=M(xy).

    1 mark

  2. (b)

    Show that the eigenvalues, λ, of M satisfy λ2+0.2λ+1.01=0.

    3 marks

  3. (c)

    Find the eigenvalues of M, giving your answers in the form a+bi.

    3 marks

  4. (d)

    Write the eigenvalue with positive imaginary part in the form reiθ, where r>0 and −π<θ≤π.

    2 marks

  5. (e)

    State, giving a reason, what your answer to part (c) shows about the shape of the trajectories in the phase portrait.

    2 marks

  6. (f)

    State, giving a reason, what happens to the populations in the long term.

    2 marks

  7. (g)

    Find the direction of the trajectory at the point (x,y)=(1,0), and hence state whether the trajectories spiral clockwise or anticlockwise.

    2 marks

  8. (h)

    A change in the habitat alters the model to dxdt=kx−2y, dydt=0.5x+ky, where k is a constant. The eigenvalues are now k±i.

    Describe the long-term behaviour of the populations if k>0.

    2 marks

Question 3 · AI-01459Paper 3 · 29 marks

This question investigates a model for the interaction between a crop pest and its natural predator in a greenhouse.

Selin grows tomatoes in a large greenhouse. She controls aphids, which damage the plants, by releasing ladybirds, which eat the aphids. Let x be the number of aphids, in thousands, and y the number of ladybirds, in hundreds, t weeks after she starts monitoring the greenhouse.

Selin models the two populations by the coupled differential equations

dxdt=x(1.2−0.1x−0.4y),dydt=y(0.15x−0.6)

where x≥0 and y≥0.

  1. (a)

    At one moment there are 6000 aphids and 100 ladybirds in the greenhouse.

    Find the value of dxdt and the value of dydt at this moment, and interpret your answers in context.

    3 marks

  2. (b)(i)

    Consider the case in which there are no ladybirds in the greenhouse.

    Write down the differential equation satisfied by x.

    1 mark

  3. (b)(ii)

    Hence find the long-term number of aphids when there are no ladybirds, justifying your answer.

    2 marks

  4. (c)(i)

    Show that (4, 2) is an equilibrium point of the system.

    2 marks

  5. (c)(ii)

    Write down the coordinates of the other two equilibrium points.

    2 marks

  6. (d)(i)

    To investigate the behaviour close to (4, 2), let x=4+p and y=2+q, where p and q are small. You may assume that terms in p2, q2 and pq can be ignored.

    Show that dpdt≈−0.4p−1.6q.

    3 marks

  7. (d)(ii)

    Find a similar approximation for dqdt.

    2 marks

  8. (d)(iii)

    The approximations can be written as (p˙q˙)=M(pq).

    Find the eigenvalues of M.

    2 marks

  9. (d)(iv)

    Hence describe the behaviour of the aphid and ladybird populations when they start close to (4, 2).

    2 marks

  10. (e)

    At the start of one season there are 2000 aphids and 100 ladybirds in the greenhouse.

    Use Euler's method with a step length of 0.25 weeks to estimate the number of aphids and the number of ladybirds after 1 week.

    4 marks

  11. (f)

    Sketch, on a set of axes with x on the horizontal axis and y on the vertical axis, the trajectory that starts at (2, 1). Show the direction of motion along the trajectory.

    2 marks

  12. (g)(i)

    Selin considers spraying a pesticide that kills aphids and ladybirds at the same rate. She modifies her model to

    dxdt=x(1.2−0.1x−0.4y)−0.2x,dydt=y(0.15x−0.6)−0.2y.

    Find the equilibrium point of the modified model at which both species are present.

    3 marks

  13. (g)(ii)

    Comment on whether spraying the pesticide is a sensible way to reduce the aphid population in the long term.

    1 mark

Question 4 · AI-01567Paper 1 · 8 marks

Consider the system of coupled differential equations

dxdt=2x+y,dydt=3x+4y.
  1. (a)

    Write the system in the form x˙=Mx, where M is a 2×2 matrix.

    1 mark

  2. (b)

    Find the eigenvalues of M.

    3 marks

  3. (c)

    Find an eigenvector corresponding to each eigenvalue.

    2 marks

  4. (d)

    Describe the behaviour of the trajectories near the equilibrium point at the origin. Justify your answer.

    2 marks

Question 5 · AI-00847Paper 2 · 15 marks

Two interacting quantities, x and y, change with time t according to the coupled differential equations

dxdt=x+4y,dydt=2x−y.

When t=0, x=5 and y=1.

  1. (a)

    Find the eigenvalues of the matrix (142−1).

    3 marks

  2. (b)

    Find an eigenvector for each eigenvalue.

    3 marks

  3. (c)

    Write down the general solution of the system.

    2 marks

  4. (d)

    Find the particular solution.

    3 marks

  5. (e)

    Find the value that xy approaches as t increases. Justify your answer.

    2 marks

  6. (f)

    State, with a reason, the type of equilibrium point at the origin.

    2 marks

Question 6 · AI-01460Paper 3 · 30 marks

This question uses a second-order differential equation to explore how the damping setting of an automatic door closer affects the way a door shuts.

A heavy fire door in a hospital corridor is fitted with a hydraulic closer. The door is pushed open and then released from rest. Let θ be the angle, in radians, between the door and its closed position t seconds after it is released. The motion of the door is modelled by

d2θdt2+cdθdt+4θ=0,

where c is a positive constant called the damping setting of the closer. When t=0, θ=1.2 and dθdt=0.

  1. (a)

    By letting ω=dθdt, write the differential equation as a system of first-order equations in the form (θ˙ω˙)=M(θω), where M is a 2×2 matrix in terms of c.

    2 marks

  2. (b)(i)

    The closer is first set with c=5.

    Show that the eigenvalues of M are −1 and −4.

    2 marks

  3. (b)(ii)

    Find an eigenvector for each eigenvalue.

    2 marks

  4. (c)

    Hence show that θ=1.6e−t−0.4e−4t.

    4 marks

  5. (d)

    The door is considered shut once θ<0.05.

    Find the time taken for the door to be shut.

    2 marks

  6. (e)

    Show that, with this setting, the door never swings past its closed position.

    2 marks

  7. (f)

    Sketch the phase portrait for this system, with θ on the horizontal axis and ω on the vertical axis. Your sketch should show the eigenvector lines and the trajectory that starts at (1.2, 0).

    3 marks

  8. (g)(i)

    After some years the closer wears and the damping setting falls to c=2.

    Find the eigenvalues of M for this setting.

    2 marks

  9. (g)(ii)

    Hence describe the motion of the door with this setting.

    2 marks

  10. (h)

    Use Euler's method with a step length of 0.1 seconds to estimate the value of θ when t=0.5 for the worn closer.

    4 marks

  11. (i)

    A computer solution of the differential equation gives θ=0.7916 when t=0.5.

    Calculate the percentage error in your answer to part (h).

    2 marks

  12. (j)

    Find the set of values of c for which M has two distinct real eigenvalues.

    2 marks

  13. (k)

    Explain why the manufacturer would not choose a very large value of c.

    1 mark

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The notes on 5.17 Phase portraits

More questions in Calculus

  1. 5.1Limits and the derivative
  2. 5.2Increasing and decreasing functions
  3. 5.3Differentiating polynomials
  4. 5.4Tangents and normals
  5. 5.5Introduction to integration
  6. 5.6Stationary points
  7. 5.7Optimisation
  8. 5.8The trapezoidal rule
  9. 5.9Further differentiation
  10. 5.10The second derivative
  11. 5.11Further integration
  12. 5.12Areas and volumes
  13. 5.13Kinematics
  14. 5.14Setting up differential equations
  15. 5.15Slope fields
  16. 5.16Euler’s method
  17. 5.17Phase portraitsThis page
  18. 5.18Second-order differential equations

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