The Computable Differential Equation Lecture ... - Bruce E. Shapiro
The Computable Differential Equation Lecture ... - Bruce E. Shapiro
The Computable Differential Equation Lecture ... - Bruce E. Shapiro
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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