Fourier Series and Partial Differential Equations Lecture Notes
Fourier Series and Partial Differential Equations Lecture Notes
Fourier Series and Partial Differential Equations Lecture Notes
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Chapter 5. Laplace’s equation in the plane 58<br />
Thus if the new data (F,G) are close to the original data (f,g) in the sense that<br />
|F(x)−f(x)| < ǫ<br />
1+T<br />
<strong>and</strong> |G(x)−g(x)| < ǫ<br />
1+T<br />
then the corresponding solutions are close together in the sense that<br />
for −∞ < x < ∞, (5.103)<br />
|Y(x,t)−y(x,t)| < ǫ for −∞ < x < ∞ <strong>and</strong> 0 < t < T. (5.104)<br />
In this sense 3. holds <strong>and</strong> the IVP is well-posed.<br />
Example 5.9 BycontrastthecorrespondingIVPforLaplace’s equation isnot well-posed.<br />
If y(x,t) = 0, f(x) = 0, g(x) = 0 then y is a solution of the IVP<br />
If<br />
Y(x,t) = δ 2 cos<br />
∂2y ∂x2 + ∂2y = 0, −∞ < x < ∞, t > 0, (5.105)<br />
∂t2 y(x,0) = f(x),<br />
<br />
x<br />
<br />
sinh<br />
δ<br />
Then Y(x,t) is a solution of the IVP<br />
∂y<br />
(x,0) = 0, −∞ < x < ∞. (5.106)<br />
∂t<br />
<br />
t<br />
, F(x) = 0, G(x) = δcos<br />
δ<br />
<br />
x<br />
<br />
, (5.107)<br />
δ<br />
∂2Y ∂x2 + ∂2Y = 0, −∞ < x < ∞, t > 0, (5.108)<br />
∂t2 Y(x,0) = F(x),<br />
∂Y<br />
(x,0) = G(x), −∞ < x < ∞.<br />
∂t<br />
(5.109)<br />
Again suppose we want to make predictions in 0 < t < T. Then<br />
<br />
x<br />
<br />
<br />
|F(x)−f(x)| = 0 < δ, |G(x)−g(x)| = δcos<br />
< δ,<br />
δ<br />
(5.110)<br />
<strong>and</strong><br />
But<br />
<strong>and</strong> we cannot make<br />
by making δ suitably small.<br />
|Y(0,T)−y(0,t)| = δ 2 sinh<br />
<br />
t<br />
< δ<br />
δ<br />
2 <br />
T<br />
sinh . (5.111)<br />
δ<br />
δ 2 <br />
T<br />
sinh =<br />
δ<br />
1<br />
2 δ2e<br />
T/δ −e −T/δ<br />
→ ∞ as δ → 0, (5.112)<br />
|Y(0,t)−y(0,t)| < ǫ for 0 < t < T, (5.113)