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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Figure 3.4: A “rarefaction wave”.<br />
then<br />
∂ t Φ(u) = DΦ(u) ∂ t u<br />
= −DΦ(u) DF(u) ∂ x u (u is a solution)<br />
= −DΨ(u) ∂ x u<br />
= − div Ψ(u).<br />
That is, Φ(u) satisfies a scalar conservation law with flux Ψ(u):<br />
∂ t Φ(u) + div Ψ(u) = 0.<br />
Now <strong>for</strong> a non-smooth u, we cannot expect this to be true in general.<br />
The guiding idea <strong>for</strong> a selection criterion is that in<strong>for</strong>mation (about the solution)<br />
is transported ( ) along characteristics of the equation, i.e., along the characteristic<br />
curves , where<br />
x(t)<br />
t<br />
x = x(t) = F ′ (y(t)) = F ′ (y(0)).<br />
Such in<strong>for</strong>mation is lost in shocks and characteristic curves whose origin lies in a<br />
shock will in general not carry physically relevant bits of in<strong>for</strong>mation.<br />
As a paradigm we consider a shock in a single equation (i.e., m = 1) along<br />
a curve C, parametrized by x = s(t). Suppose <strong>for</strong> simplicity that F is convex.<br />
Then F ′ is increasing and in order that the characteristic curves hit at C we must<br />
have u 1 > u 2 . Suppose Φ, Ψ satisfy Φ ′ F ′ = Ψ ′ .<br />
Claim: We claim that<br />
whenever Φ is convex.<br />
Ψ(u 1 ) − Ψ(u 2 ) ≥ F(u 1) − F(u 2 )<br />
u 1 − u 2<br />
(Φ(u 1 ) − Φ(u 2 ))<br />
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