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Homework on Phase Portraits and Stable Manifolds in Differential Equations, Assignments of Mathematics

Homework problems for math 435, including discussion of phase portraits in polar coordinates, sketching phase portraits for different parameter values, finding successive approximations of stable manifolds, and analyzing stability of fixed points in polar coordinates.

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Pre 2010

Uploaded on 08/18/2009

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Download Homework on Phase Portraits and Stable Manifolds in Differential Equations and more Assignments Mathematics in PDF only on Docsity! MATH 435 - Homework #4 (Due 10/14) 1. Discuss the phase portrait of the system ẋ = −y + x(x2 + y2 − 1)2 ẏ = x + y(x2 + y2 − 1)2 . Hint: Rewrite the system in polar coordinates. 2. Consider the system ẋ = a + x2 − xy ẏ = y2 − x2 − 1 , where a is a parameter. (a) Sketch the phase portrait for a = 0. Show that there is a trajectory connecting two saddle points. (Such a trajectory is called a saddle connection.) (b) With the aid of pplane if necessary, sketch the phase portrait for a < 0 and a > 0. Notice that for a 6= 0, the phase portrait has a different topological character: the saddles are no longer connected by a trajectory. The point of this exercise is that the phase portrait in (a) is not structurally stable, since its topology can be changed by an arbitrary small perturbation of a. 3. Find the first three successive approximations u1(t,y), u2(t,y) u3(t,y) of W s(0) for ẋ1 = −x1 ẋ2 = x2 + x21 Note that u3(t,y) = u2(t,y) and so the sequence uj(t,y) stabilizes at u2(t,y) which gives the exact function defining locally W s(0). Show also that the unstable manifold coincides with the vertical axis x1 = 0. Actually the formulas obtained determine the global stable and unstable manifolds. Prove this by solving explicitly the system. Recall that the sequence uj(t,y) is constructed inductively from u0(t,y) = 0 and uj+1(t,y) = U(t)y + ∫ t 0 U(t− s)g(uj(s,y))ds− ∫ ∞ t V (t− s)g(uj(s,y))ds . The matrices U(t), V (t) were defined in class. The vector y can be considered to have the last n− k components 0 (where k is the dimension of the stable subspace). Then the function σs = (σ1, σ2, . . . , σk) is defined as σi(y1, . . . , yk) = uk+i(0, y1, y2, . . . , yk, 0, 0, . . . , 0) , i = 1, . . . k. For two dimensional systems (with one-dimensional stable manifold), the formulas are a bit easier: there is one real-function σs(y1) = u2(0; y1, 0), and the local stable manifold is given by the graph of σs, i.e. the pair (y1, σs(y1)) for y1 in a small interval of Es. 4. Consider the system ṙ = r(1 − r2), θ̇ = 1 − cos(θ), where r, θ represent polar coor- dinates. Sketch the phase portrait and show that the fixed point r∗ = 1, θ∗ = 0 is weakly asymptotically stable but not Lyapunov stable.
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