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Introduction to the Modeling and Analysis of Complex Systems

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7.5. LINEAR STABILITY ANALYSIS OF NONLINEAR DYNAMICAL SYSTEMS 125Exercise 7.12Show that <strong>the</strong> unstable points with det(A) < 0 are saddle points.Exercise 7.13• dx ( −1 2dt = 2 −2• dx ( 0.5 −1.5dt = 1 −1Determine <strong>the</strong> stability <strong>of</strong> <strong>the</strong> following linear systems:)x)xExercise 7.14 Confirm <strong>the</strong> analytical result shown in Fig. 7.5 by conducting numericalsimulations in Python <strong>and</strong> by drawing phase spaces <strong>of</strong> <strong>the</strong> system for severalsamples <strong>of</strong> A.7.5 Linear Stability <strong>Analysis</strong> <strong>of</strong> Nonlinear Dynamical <strong>Systems</strong>Finally, we can apply linear stability analysis <strong>to</strong> continuous-time nonlinear dynamical systems.Consider <strong>the</strong> dynamics <strong>of</strong> a nonlinear differential equationdxdt= F (x) (7.64)around its equilibrium point x eq . By definition, x eq satisfies0 = F (x eq ). (7.65)To analyze <strong>the</strong> stability <strong>of</strong> <strong>the</strong> system around this equilibrium point, we do <strong>the</strong> same coordinateswitch as we did for discrete-time models. Specifically, we apply <strong>the</strong> followingreplacementx(t) ⇒ x eq + ∆x(t) (7.66)<strong>to</strong> Eq. (7.64), <strong>to</strong> obtaind(x eq + ∆x)dt= d∆xdt= F (x eq + ∆x). (7.67)

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