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The Computable Differential Equation Lecture ... - Bruce E. Shapiro

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136 CHAPTER 7. DELAY DIFFERENTIAL EQUATIONS<br />

Case 2: τ 1 = 0: For t 0 ≤ t ≤ t 0 + τ 2 ,<br />

y ′ (t) = f(t, g(t), g(t − τ 2 ), . . . , g(t − τ m )) (7.7)<br />

= f(t, y(t), g(t − τ 2 ), . . . , g(t − τ m )) (7.8)<br />

y(0) = g(0) (7.9)<br />

By the fundamental theorem, If f is Lipshitz in y then at most one solution<br />

exists.<br />

Lemma 7.1 (Gronwall Inequality). Suppose that f, g : [a, b] ↦→ R are continuous,<br />

non-negative functions such that<br />

f(t) ≤ K +<br />

∫ t<br />

for some non-negative constant K. <strong>The</strong>n<br />

(∫ t<br />

f(t) ≤ Kexp<br />

Proof. Define the functions<br />

<strong>The</strong>n<br />

<strong>The</strong> assumption 7.10 becomes<br />

F (t) = K +<br />

G(t) =<br />

∫ t<br />

hence by differentiating 7.12 we obtain<br />

a<br />

∫ t<br />

Multiplying both sides through by exp (−G(t)),<br />

a<br />

a<br />

f(x)g(x)dx (7.10)<br />

a<br />

)<br />

g(x)dx<br />

(7.11)<br />

f(x)g(x)dx (7.12)<br />

g(x)dx (7.13)<br />

F (a) = K (7.14)<br />

G(a) = 0 (7.15)<br />

G ′ (t) = g(t) (7.16)<br />

f(t) ≤ F (t) (7.17)<br />

F ′ (t) = f(t)g(t) ≤ F (t)g(t) (7.18)<br />

F ′ (t)e −G(t) ≤ F (t)g(t)e −G(t) (7.19)<br />

Differentiating F (t)e −G(t) and applying equations 7.16 and 7.18 gives<br />

d<br />

dt F (t)e−G(t) = F ′ (t)e −G(t) − F (t)G ′ (t)e −G(t) (7.20)<br />

= ( F ′ (t) − F (t)G ′ (t) ) e −G(t) (7.21)<br />

= ( F ′ (t) − F (t)g(t)) ) e −G(t) ≤ 0 (7.22)<br />

Math 582B, Spring 2007<br />

California State University Northridge<br />

c○2007, B.E.<strong>Shapiro</strong><br />

Last revised: May 23, 2007

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