5.1 April 24, 2014 5.1 EQUILIBRIUM POINT ANALYSIS dx/dt = y dy/dt = -x + (1 - x2)y Determine all equilibrium points dx/dt = y dt/dt = -x + y - x2y What happens near (0,0)? 5.1 April 24, 2014 dx/dt = y dy/dt = -x + y What are eigenvalues? What type of system do we have? The linear system and the Van der Pol system have vector fields that are similar near the origin. 5.1 April 24, 2014 Since systems of the linear system spiral away from the origin, solutions of the Van der Pol equations that start near the origin also spiral away. This technique is called linearization. Near the equilibrium point we approximate the nonlinear system by an appropriate linear system. 5.1 April 24, 2014 Competing Species Model What does an increase in either population mean for the population of the species? 5.1 April 24, 2014 What happens if y = 0? What happens if x = 0? Find all equilibrium points. 5.1 April 24, 2014 Equilibrium points are (0,0), (2,0), (0,3), and (1,1). What does the point (1,1) say about the system? 5.1 April 24, 2014 Linear systems always have an equilibrium point at (0,0). We will use a change of variables to move (1,1) to the origin. u = x-1 and v = y-1 Rewrite the system in terms of the new variables. 5.1 April 24, 2014 Note: (0,0) is an equilibrium point. Which terms are smaller near the origin? Approximate with a linear system near (0,0). 5.1 April 24, 2014 Find the eigenvalues and determine what type of equilibrium point we have at (0,0). 5.1 April 24, 2014 Linearization: dx/dt = f(x,y) dy/dt = g(x,y) u = x - x0 v = y - y0 du/dt = f(x0 + u, y0 + v) dv/dt = g(x0 + u, y0 + v) 5.1 April 24, 2014 We want the best "linear approximation" of the function. For functions of two variables, the best linear approximation at a particular point is given by the tangent plane. Thus: 5.1 April 24, 2014 Write as: This is called the linearized system at the equilibrium point The 2x2 matrix of partial derivatives is called the Jacobian matrix. 5.1 April 24, 2014 Example: dx/dt = x(1- x - y) dy/dt = y(-2x - y + 100) a. find and classify all equilibria in the first quadrant. b. sketch the phase portrait of the system near each equilibrium point. 5.1 April 24, 2014 Classifications: Sink Spiral sink Source Spiral source Saddle This classification of equilibrium points for nonlinear systems only deals with initial positions near the equilibrium point. 5.1 April 24, 2014 Nonpolynomial Case dx/dt = 3 sinx +y dy/dt = 4x + cosy - 1 5.1 April 24, 2014 Bifucations dx/dt = x2 - a dy/dt = -y(x2 +1) a. Show that the system has no equilibrium points if a < 0. b. Show that the system has two equilibrium points if a > 0. c. Show that the system has exactly one equilibrium point if a = 0. d. Find the linearization of the equilibrium point for a = 0 and compute the eigenvalues of this linear system. (a = 0 is a bifurcation value) 5.1 April 24, 2014 Example: dx/dt = y - x2 dy/dt = y - x - a 5.1 April 24, 2014 Linearization Failure Two cases in which the long-term behavior of solutions near an equilibrium point of the nonlinear system and its linearization can differ. 1. The linearized system is a center. 2. The linearized system has zero as an eigenvalue.
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