The Computable Differential Equation Lecture ... - Bruce E. Shapiro
The Computable Differential Equation Lecture ... - Bruce E. Shapiro
The Computable Differential Equation Lecture ... - Bruce E. Shapiro
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68 CHAPTER 3. APPROXIMATE SOLUTIONS<br />
By the ODE (y ′ = f(t, y)) and the mean value theorem (in the second argument)<br />
d<br />
[y(t) − ỹ(t)] = f(t, y(t)) − f(t, ỹ(t)) (3.217)<br />
dt<br />
for some η(t) between y(t) and ỹ(t). Hence<br />
= [y(t) − ỹ(t)] ∂ f(t, η(t)) (3.218)<br />
∂y<br />
∂p(t, y 0 )<br />
∂t<br />
=<br />
y(t) − ỹ(t)<br />
y 0 − ỹ 0<br />
∂<br />
f(t, η(t)) (3.219)<br />
∂y<br />
= p(t, y 0 ) ∂ f(t, η(t)) (3.220)<br />
∂y<br />
where η(t) → y(t) as ỹ(t) → y(t). Since p ≠ 0 so long as y 0 ≠ ỹ 0 , we may divide by<br />
p:<br />
1 ∂p(t, y 0 )<br />
= ∂ f(t, η(t)) (3.221)<br />
p(t , y 0 ) ∂t ∂y<br />
ln p(t , y 0 ) =<br />
∫ t<br />
t 0<br />
∂<br />
f(s, η(s))ds (3.222)<br />
∂y<br />
<strong>The</strong> constant of integration is determined from p(t 0 , y 0 ) = 1, and<br />
{∫ t<br />
}<br />
∂<br />
p(t , y 0 ) = exp<br />
t 0<br />
∂y f(s, η(s))ds<br />
(3.223)<br />
By the definition of p,<br />
∂y(t, ỹ 0 )<br />
∂y 0<br />
= lim p(t, y 0 ) (3.224)<br />
y 0 →ỹ 0<br />
{∫ t<br />
}<br />
∂<br />
= exp<br />
∂y f(s, ỹ(s))ds (3.225)<br />
t 0<br />
which is continuous in both arguments.<br />
Math 582B, Spring 2007<br />
California State University Northridge<br />
c○2007, B.E.<strong>Shapiro</strong><br />
Last revised: May 23, 2007