MATH2010 Lecture Notes - Lecture 1: Phase Portrait

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6 Aug 2018
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Classi cation of 2d systems: x = ax, a = (cid:20) a b c d(cid:21): t = a + d, d = ad bc, p( ) = 2 t + d. Case a: t 2 4d > 0. 1,2 = (t qt 2 4d )/2. General solution: (v1, v2: eigenvectors) x(t) = c1e 1tv1 + c2e 2tv2. Half line trajectories: if c2 = 0 x(t) = c1e 1tv1. H1+ = {x = v1 | > 0} if c1 > 0. H1 = {x = v1 | < 0} if c1 < 0. Same for h2 if c1 = 0, c2 > 0 or < 0: the 4 half line trajectories separate. Indicate direction of motion by arrows point- ing in the direction of increasing t. Trajectories: if 1 > 0 then x(t) = c1e 1tv1. Moves out to for t (outwards arrow on h1+) Approaches 0 for t : if 1 < 0 then x(t) = c1e 1tv1.

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