Phase Portraits (DP IB Applications & Interpretation (AI): HL): Revision Note

Roger B

Written by: Roger B

Reviewed by: Dan Finlay

Updated on

Phase portraits

What is a phase portrait for a system of coupled differential equations?

  • Consider the system of coupled equations that can be represented in the matrix form x˙=Mx, where

    • x˙=(x˙y˙)

    • M=(abcd)

    • x=(xy)

  • A phase portrait is a diagram showing how the values of x and y change over time

    • On a phase portrait we will usually sketch several typical solution trajectories

    • The precise trajectory that the solution for a particular system will travel along is determined by the initial conditions for the system

  • Suppose for the matrix M

    • λ1 and λ2 are the eigenvalues

    • p1 and p2 are the corresponding eigenvectors

  • The overall nature of the phase portrait depends in large part on the values of λ1 and λ2

Examiner Tips and Tricks

You need to know how phase portraits looks when the eigenvalues or:

  • real, distinct and non-zero

  • complex conjugates

What does the phase portrait look like when the eigenvalues are real numbers?

  • The phase portraits when the eigenvalues are real always include two lines representing the eigenvectors

    • These go through the origin

    • They are parallel to the eigenvectors

  • The origin separates these two lines into four solution trajectories

  • For example, if p1=(12) and p2=(34) are eigenvectors

    • then these lines have the equations y=2x and y=43x respectively

  • The origin separates these two lines into four solution trajectories

    • Their directions depend on the signs of the corresponding eigenvalues

      • If an eigenvalue is positive then the corresponding lines are directed away from the origin

      • If an eigenvalue is negative then the corresponding lines are directed towards the origin

  • The solution trajectories have the properties:

    • As t, the solution trajectory is parallel to the line corresponding to the smaller eigenvalue

    • As t, the solution trajectory is parallel to the line corresponding to the larger eigenvalue

    • A solution trajectory never crosses a line corresponding to an eigenvector

Examiner Tips and Tricks

Remember that the exact solution is of the form x=Aeλ1tp1+Beλ2tp2 when the eigenvalues are real, distinct and non-zero. You can use this to help you determine the trajectory.

For example, consider x=Ae5tp1+Be3tp2.

When t<0 , e5t<e3t. Therefore, as t, xBe3tp2.

When t>0 , e5t>e3t. Therefore, as t, xAe5tp1.

Both eigenvalues are positive

  • Suppose λ1>λ2>0

  • All solution trajectories are directed away from the origin as t increases

  • To draw a solution trajectory

    • Start at the origin

    • Draw a line roughly parallel to p2

    • Move away from the origin and p2

    • Draw a line roughly parallel to p1

    • The line does not end

Graph showing positive eigenvalues with arrows representing solution trajectories diverging from the origin along axes labelled p1 and p2.
Example of a phase portrait when the eigenvalues are both positive

Both eigenvalues are negative

  • Suppose 0>λ1>λ2

  • All solution trajectories are directed towards the origin as t increases

  • To draw a solution trajectory

    • Start from somewhere at the edge of the graph

    • Draw a line roughly parallel to p2

    • Move toward the origin and away from p2

    • Draw a line roughly parallel to p1

    • End at the origin

Phase portrait showing trajectories with real negative eigenvalues, converging towards the origin along axis P1, diverging slightly from P2.
Example of a phase portrait when the eigenvalues are both negative

One positive and one negative eigenvalue

  • Suppose λ1>0>λ2

  • To draw a solution trajectory

    • Start from somewhere at the edge of the graph

    • Draw a line roughly parallel to p2

    • Move toward the origin and away from p2

    • Move away from the origin and toward p1

    • Draw a line roughly parallel to p1

    • The line does not end

Phase portrait showing trajectories with real eigenvalues, one positive, one negative. Arrows enter along p2, curve, then exit along p1.
Example of a phase portrait when the eigenvalues have different signs

What does the phase portrait look like when the eigenvalues are complex numbers?

  • The phase portraits when the eigenvalues are complex always include curves orbiting the origin

    • They could be closed ellipses

    • They could be open spirals

  • The real part of the complex eigenvalues affect the shape

    • Positive real parts cause the trajectories to spiral away from the origin

    • Negative real parts cause the trajectories to spiral towards the origin

    • Zero real parts cause the trajectories to form ellipses centred at the origin

  • You can find the orientation of the trajectory by finding the value of (x˙y˙) at a specific point on one of the coordinate axes

    • For example, consider the system x˙=(1211)x

      • Pick the point (1, 0)

      • x˙=(1211)(10)=(11)

      • From (1, 0), the trajectory is moving to the right and up

      • Therefore, it is counter-clockwise around the origin

Examiner Tips and Tricks

To make it easiest, you should pick (1, 0) or (0, 1).

The trajectory is clockwise if it is moving down from (1, 0) or right from (0, 1).

Real part is equal to zero

  • Suppose λ1=bi and λ2=bi

  • To draw a solution trajectory

    • Find the direction at (1, 0) or (0, 1) to determine if it is clockwise or counter-counter

    • Draw ellipses that are centred at the origin

Graph of concentric elliptical trajectories around origin with arrows indicating anticlockwise direction; labelled "Purely Imaginary Eigenvalues".
Example of a phase portrait when the real part of the complex eigenvalues is zero

Real part is not equal to zero

  • Suppose λ1=a+bi and λ2=abi

  • To draw a solution trajectory

    • Find the direction at (1, 0) or (0, 1) to determine if it is clockwise or counter-counter

    • Draw spirals from origin

    • Label the direction of the trajectories

      • If a<0 it spirals towards the origin

      • If a>0 it spirals away from the origin

Diagram comparing complex eigenvalues; left with positive real part spirals outwards, right with negative real part spirals inwards.
Example of phase portraits when the real part of the complex eigenvalues is not zero

Worked Example

Consider the system of coupled differential equations

 dxdt=2x+2ydydt=x3y

Given that 1 and 4 are the eigenvalues of the matrix (2213), with corresponding eigenvectors (21) and (11), draw a phase portrait for the solutions of the system.

Answer:

5-7-1-ib-ai-hl-phase-portraits-we-solution

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Roger B

Author: Roger B

Expertise: Development Editor

Roger's teaching experience stretches all the way back to 1992, and in that time he has taught students at all levels between Year 7 and university undergraduate. Having conducted and published postgraduate research into the mathematical theory behind quantum computing, he is more than confident in dealing with mathematics at any level the exam boards might throw at you.

Dan Finlay

Reviewer: Dan Finlay

Expertise: Portfolio Lead

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.