Chapter 4 (c) Flashcards

1
Q
Second Order ODE
General Form (independent variable x, dependent variable, t)
A

d²x/dt² + a dx/dt + bx = h(t)

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2
Q

Second Order ODE Written in Terms of First Order Differentials

A

x’’ +ax’ + bx = h(t)

y = x’ , so y’ = x’’
this gives
y’ = h(t) - ay - bx

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3
Q

Two Dimensional First Order ODE - General

A
(x') = (0   1) (x) + ( 0  )
(y') = (-b -a) (y) + (h(t))
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4
Q

Two Dimensional First Order ODE - Autonomous Inhomogeneous Constant Coefficient ODE

A

(x’ y’) = A (x y) + (H1 H2)

where H1 and H2 are constants

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5
Q

Two Dimensional First Order ODE - Autonomous Homogeneous Constant Coefficient ODE

A

(x’ y’) = A(x y)

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6
Q

The Phase Plane - General Approach

A

-the general approach to two-dimensional autonomous ODEs is to interpret the independent variable, t, as time and consider the time-dependent point (x(t) , y(t)) in the x-y plane

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7
Q

The Phase Plane - Trajectory

A

-the point (x(t) , y(t)) traces a curve in the phase plane called the trajectory of the initial condition (x0 , y0)

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8
Q

The Phase Plane - Phase Portrait

A

-a diagram showing one or more trajectories

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9
Q

The Phase Plane - Equilibrium Points

A

-a point with (x’,y’) = (0,0) is called an equilibrium point

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10
Q

The Phase Plane - Ordinary Points

A

-a point that is not an equilibrium point (i.e. most points on the phase plane)

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11
Q

The Phase Plane - Theorems for Autonomous ODEs

A
  • there is only one trajectory through each ordinary point
  • any trajectory starting at a ordinary point cannot reach an equilibrium point in a finite amount of time
  • a trajectory through an ordinary point cannot cross itself unless it is a closed curve, in which case the trajectory is periodic
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12
Q

The Phase Plane - Eigenvalues

A
  • find the eigenvalues of matrix A
  • the nature of the solution to the equation depends entirely on the roots of the characteristic equation, the eigenvalues of A
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13
Q

Classifying Equilibrium Points

Stable Node

A

real eigen values that are unequal and negative

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14
Q

Classifying Equilibrium Points

Unstable Node

A

-real eigenvalues that are unequal and positive

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15
Q

Classifying Equilibrium Points

Saddle

A

real eigenvalues that have opposite signs

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16
Q

Classifying Equilibrium Points

Centre

A

complex eigenvalues with zero real part

17
Q

Classifying Equilibrium Points

Stable Focus

A

-complex eigenvalues with negative real part

18
Q

Classifying Equilibrium Points

Unstable Focus

A

-complex eigenvalues with positive real part

19
Q

Classifying Equilibrium Points

Special Cases

A
  • eigenvalues are equal (there is only one eigenvector) this case is called an improper node
  • one or both eigenvalues are zero
20
Q

Writing the Solution of the ODE in the Case of Real Unequal Eigenvectors

A

Av1 = λ1v1 and Av2 = λ2v2

(x y) = C1e^(λ1t)v1 + C2e^(λ2t)v2

21
Q

Drawing a Phase DIagram

A
  • draw the lines represented by the eigenvectors
  • if the eigenvalue corresponding to the eigenvector is positive then the line points away from the equilibrium point, if it is negative then the line points towards the equilibrium point