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Let A have the properties described in Exercise 1.

(a) Is the origin an attractor, a repeller, or a saddle point of the dynamical system\({x_{k + 1}} = A{x_k}\)?

(b) Find the directions of greatest attraction and/or repulsion for this dynamical system.

(c) Make a graphical description of the system, showing the directions of greatest attraction or repulsion. Include a rough sketch of several typical trajectories (without computing specific points).

\(\)

Short Answer

Expert verified

(a) Saddle point is \(\left| 3 \right| > 1\) and \(\left| {1/3} \right| < 1\).

(b) The eigenvector corresponding to the eigenvalue greater than 1.

(c) The graphical representation is shown below:

Step by step solution

01

The condition for the repeller

a)

The eigenvalues of the matrix \(A\) in Exercise 1 are 3 and 1/3. The origin is a saddle point because \(\left| 3 \right| > 1\) and \(\left| {1/3} \right| < 1\).

02

The condition for repulsion

b)

The direction of the greatest attraction is determined by the eigenvector.

\(\)

The eigenvector corresponds to the eigenvalue with an absolute value less than 1.

The direction of greatest repulsion is determined by \({{\rm{v}}_1} = \left( {\begin{aligned}{}1\\1\end{aligned}} \right)\).

The eigenvector corresponds to the eigenvalue greater than 1.

03

The condition for the graph 

c)

Lines through the eigenvectors and the origin.

Arrows toward the origin (showing attraction) on the line through \({{\rm{v}}_2}\) and arrows away from the origin (showing repulsion) on the line through \({{\rm{v}}_1}\),

Several typical trajectories (with arrows) that show the general flow of points are shown in the diagram below. Other than \({{\rm{v}}_1}\) and \({{\rm{v}}_2}\), no precise points were computed.

This is the only sort of drawing that can be made without utilizing a computer to plot points.

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Most popular questions from this chapter

Consider an invertiblen × n matrix A such that the zero state is a stable equilibrium of the dynamical system x→(t+1)=Ax→(t)What can you say about the stability of the systems

x→(t+1)=(A-2In)x→(t)

Use Exercise 12 to find the eigenvalues of the matrices in Exercises 13 and 14.

14. \(A{\bf{ = }}\left( {\begin{array}{*{20}{c}}{\bf{1}}&{\bf{5}}&{{\bf{ - 6}}}&{{\bf{ - 7}}}\\{\bf{2}}&{\bf{4}}&{\bf{5}}&{\bf{2}}\\{\bf{0}}&{\bf{0}}&{{\bf{ - 7}}}&{{\bf{ - 4}}}\\{\bf{0}}&{\bf{0}}&{\bf{3}}&{\bf{1}}\end{array}} \right)\)

Question 20: Use a property of determinants to show that \(A\) and \({A^T}\) have the same characteristic polynomial.

Question: In Exercises 21 and 22, \(A\) and \(B\) are \(n \times n\) matrices. Mark each statement True or False. Justify each answer.

  1. If \(A\) is \(3 \times 3\), with columns \({{\rm{a}}_1}\), \({{\rm{a}}_2}\), and \({{\rm{a}}_3}\), then \(\det A\) equals the volume of the parallelepiped determined by \({{\rm{a}}_1}\), \({{\rm{a}}_2}\), and \({{\rm{a}}_3}\).
  2. \(\det {A^T} = \left( { - 1} \right)\det A\).
  3. The multiplicity of a root \(r\) of the characteristic equation of \(A\) is called the algebraic multiplicity of \(r\) as an eigenvalue of \(A\).
  4. A row replacement operation on \(A\) does not change the eigenvalues.

Consider an invertible n × n matrix A such that the zero state is a stable equilibrium of the dynamical system x→(t+1)=Ax→(t) What can you say about the stability of the systems

x→(t+1)=A-1x→(t)

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