Resolution of non-linear IBVP 381
to vanish at infinity, but any data asymptotically constant at infinity would also
work (as stated by Majda in [124]).
Theorem 12.11 (Majda) Structural assumptions are the following.
(CH) There exist open subsets of R
n
,sayU
−
and U
+
0 such that for all
w ∈ U
±
the matrix A
0
(w) is non-singular, and the operator A
0
(w) ∂
t
+
d
j=1
A
j
(w) ∂
j
is constantly hyperbolic in the t-direction;
(S) The operator A
0
(w) ∂
t
+
d
j=1
A
j
(w) ∂
j
is Friedrichs symmetrizable in U
±
.
We assume that Σ
0
is C
∞
compact manifold in R
n
and denote by D
−
its inside
and D
+
its outside. We consider u
±
0
∈ H
m+1
(D
±
), taking values in U
±
,and
σ ∈ H
m+1
(Σ
0
) satisfying
r
all compatibility conditions up to order m − 1, including (12.4.52),
r
for all x ∈ Σ
0
, the planar discontinuity between u
−
0
(x) and u
0
+
(x), of speed
σ(x) in the direction n(x), is a uniformly stable Lax shock in the sense of
the Kreiss–Lopatinski˘ı condition.
Then there exists T>0, C>0, and a solution (u
−
,u
+
,χ) of (12.4.53) such that
u
±
= u
0
±
and χ =0,∂
t
χ
|Σ
0
= σ at t =0,
and u
±
∈ H
m
(D
±
× [0,T]), χ ∈ H
m+1
(R
d
× [0,T]).
The proof is most technical, but the ideas are basically the same as for
Theorem 12.9:
r
derivation of an ‘approximate’ solution;
r
convergence of an iterative scheme, thanks to the analysis of linear IBVP
with zero initial data.
Here, the linear IBVP (as we can guess from the form of (12.4.50)) involve
coefficients depending on (x, t)inaC
∞
manner as well as on (u
k
(x, t),χ
k
(x, t)),
(an element of the iterative scheme) of limited regularity. For simplicity in this
book, we have not dealt with IBVP (nor even Cauchy problems) with coefficients
of the form A(x, t, v(x, t)) say, but only either of the form A(x, t)orofthe
form A(v(x, t)). However, coefficients of the form A(x, t, v(x, t)) do not conceal
any additional, fundamental difficulty. Another difference between Theorem 12.9
and Theorem 12.11 is that in the latter we have to deal with IBVP in a (fixed)
compact domain instead of a half-space: as seen in Chapter 9 for standard IBVP,
this is mainly a matter of co-ordinate charts.
Anyway, we shall not produce the complete proof of Theorem 12.11 here.
The reader may refer to [124] (which relies on [125] for the analysis of linearized
problems). In [124] (p. 26–28), Majda also shows, interestingly, how to construct
a large class of compatible initial data. This relies on an important observation