In each of Problems
(a) Determine all critical points of the given system of equations.
(b) Find the corresponding linear system near each critical point.
(c) Find the eigenvalues of each linear system. What conclusions can you then draw about the nonlinear system?
(d) Draw a phase portrait of the nonlinear system to confirm your conclusions, or to extend them in those cases where the linear system does not provide definite information about the nonlinear system.
(e) Draw a sketch of, or describe in words, the basin of attraction of each asymptotically stable critical point.
Want to see the full answer?
Check out a sample textbook solutionChapter 7 Solutions
Differential Equations: An Introduction to Modern Methods and Applications
Additional Math Textbook Solutions
Thinking Mathematically (7th Edition)
Mathematics for Elementary Teachers with Activities (5th Edition)
Excursions in Modern Mathematics (9th Edition)
Using and Understanding Mathematics: A Quantitative Reasoning Approach (6th Edition)
Probability and Statistics for Engineers and Scientists
Introductory Mathematics for Engineering Applications
- 4. Solve the system dt -1 with a1 (0) = 1 and 2(0) = -1.arrow_forward(3.3) Find the fixed points of the following dynamical system: -+v +v, v= 0+v? +1, and examine their stability.arrow_forwardConsider the following system of coupled second-order equations, x + 4x1 = x2 x2 + 4x2 0. Re-write this system of second order equations as a system of first order equations. Compute the solution for the initial condition x1(0) = 1, x1(0) = 0, x2(0) compute the (complex) Jordan normal form for the system. Note: you should find that the solution grows linearly in time which is indicative of a resonance in the system. = 1, x2(0) 0. Thenarrow_forward
- In each of Problems 5 and 6 the coefficient matrix has a zero eigenvalue. As a result, the pattern of trajectories is different from those in the examples in the text. For each system: Ga. Draw a direction field. b. Find the general solution of the given system of equations. G c. Draw a few of the trajectories. 4 -3 8 -6 5. x' = Xarrow_forward1. For the system below, find the general solution, sketch the trajectories, being careful to include the eigenvector directions, and classify the type of fixed point: x = x, ÿ y = 2x - 5y.arrow_forward(a) convert the equation to a first-order, linear system; (b) compute the eigenvalues and eigenvectors of the system; (e) for each eigenvalue, pick an associated eigenvector V, and determine the solution Y() to the system; and (d) compare the results of your calculations in part (c) with the results that you ob- tained when you used the guess-and-test method of Section 2.3. d²y d12 dy +5+6y=0 dtarrow_forward
- For the following systems, the origin is the equilibrium point. 3. a) Write each system in matrix form b) Determine the eigenvalues of A. c) State whether the origin is a stable or unstable equilibrium. d) State whether the origin is a node, saddle point, spiral point, or center. dx dt e) State the equations of the straight-line trajectories and tell whether they are going towards or away from the origin. If none exist, state so. dx dt dy dt = Ax. f) If A has real eigenvalues, then determine the eigenvectors and use diagonalization to solve the system. (See examples in Section 7.4) = 4x - 13y = 2x - 6yarrow_forward3. The steady-state distribution of temperature on a heated plate can be modeled by the Laplace equation, 25°C 25°C If the plate is represented by a series of nodes (Fig.1), centered finite-divided T12 100°C differences can substituted for the second T31 100°C derivatives, which results in a system of linear algebraic equations as follows: 75°C 76°C Use the Gauss-Seidel method to solve for the temperatures of the in Fig.1. 0 |T, -1T2 -1T, 4 (175) |125 75 25 -1 -1 4 1 4 - 1 4 -1 -1 11 nodes Perform the 21 computation until ɛ, is less than &s = 0.5%. T, 22 %3Darrow_forwardIII. Solve the following linear systems of differential equations. dr₁ dt (a) (b) dx2 dt dx₁ dt dx₂ dt = x1 + 2x₂ = = = 4x1 + 3x2 x₁ - 4x₂ 4x₁ - 7x₂ (c) (d) dx₁ dt dx₂ dt dx₁ dt dx₂ dt = -4x1 + 2x2 = = = 5 2²1 +22 -2x1 - 2x₂ 2x16x₂ X(0) = [-2] X(0) = [1¹]arrow_forward
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning