Weak Convergence Methods for Nonlinear Partial Differential ...
Weak Convergence Methods for Nonlinear Partial Differential ...
Weak Convergence Methods for Nonlinear Partial Differential ...
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In our case x n+1 = t, b ≡ 0, a n+1 = 1, (a 1 , ...a n ) = ∇F.<br />
Since dx n+1<br />
= 1, x<br />
dt n+1 = 0 is x n+1 ≡ t. Also y ≡ y(0). The solution is given<br />
by<br />
y(t) = u(x(t), t)<br />
and in particular u is constant along characteristics.<br />
Example: Burgers equation u t + uu x = 0 (i.e.: a = (y, 1)). For initial values<br />
given, e.g., by<br />
⎧<br />
⎪⎨ 1, x < 0<br />
u(x, 0) = 1 − x, 0 ≤ x ≤ 1<br />
⎪⎩<br />
0, x ≥ 1<br />
there are charactersitic curves t ↦→ x(t) that cross <strong>for</strong> times t > 0 (cf. Fig. 3.1)<br />
and the solution is not defined unambiguously any longer. We there<strong>for</strong>e need a<br />
weaker notion of solution. 3.1.<br />
Figure 3.1: Crossing Characteristics.<br />
Motivated by our earlier studies of weak solution, <strong>for</strong> a solution u and a test<br />
function v ∈ Cc ∞ (R n × [0, ∞); R m ) we compute<br />
0 =<br />
∫ ∞<br />
∫ ∞<br />
= −<br />
0 −∞<br />
∫ ∞<br />
∫ ∞<br />
0<br />
(∂ t u + div x F(u)) · v dxdt<br />
−∞<br />
and make the following<br />
u · ∂ t v + F(u) : D x v dxdt −<br />
∫ ∞<br />
−∞<br />
u(x, 0) ·v(x, 0) dx<br />
} {{ }<br />
=g(x)<br />
Definition 3.1 u ∈ L ∞ (R n ×(0, ∞); R m ) is called and integral solution of (3.1)<br />
if<br />
∫ ∞<br />
∫ ∞<br />
0<br />
−∞<br />
<strong>for</strong> all v ∈ C ∞ c (R n × [0, ∞); R m ).<br />
u · ∂ t v + F(u) : D x v dxdt +<br />
56<br />
∫ ∞<br />
−∞<br />
g(x) v(x, 0) dx = 0