Spectral Theory in Hilbert Space
Spectral Theory in Hilbert Space
Spectral Theory in Hilbert Space
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92 13. FIRST ORDER SYSTEMS<br />
S<strong>in</strong>ce W is assumed locally <strong>in</strong>tegrable it is clear that constant n ×<br />
1 matrices are locally <strong>in</strong> L2 W so (each components of) W u is locally<br />
<strong>in</strong>tegrable if u ∈ L2 W . It is also clear that u and ũ are two different<br />
representatives of the same equivalence class <strong>in</strong> L2 W precisely if W u =<br />
W ũ almost everywhere (Exercise 13.1).<br />
Example 13.3. Any standard scalar differential equation may be<br />
written on the form (13.1) with a constant, skew-Hermitian J. If it<br />
is possible to do this so that Q and W are Hermitian, the differential<br />
equation is called formally symmetric. We have already seen this <strong>in</strong><br />
the case of the Sturm-Liouville equation (10.1), which will be formally<br />
symmetric if p, q and w are real-valued. The first order scalar equation<br />
iu ′ + qu = wv is already of the proper form and formally symmetric if<br />
q and w are real-valued. The fourth order equation (p2u ′′ ) ′′ − (p1u ′ ) ′ +<br />
qu = wv may be written on the form (13.1) by sett<strong>in</strong>g<br />
<br />
<br />
U =<br />
, J =<br />
and Q =<br />
u<br />
hu ′<br />
(p2u ′′ ) ′ −p1u ′<br />
−p2u ′′<br />
0 0 1 0<br />
0 0 0 1<br />
−1 0 0 0<br />
0 −1 0 0<br />
p0 0 0 0<br />
0 p1 1 0<br />
0 1 0 0<br />
0 0 0 −1/p2<br />
as is readily seen, and it will be formally symmetric if the coefficients<br />
w, p0, p1 and p2 are real-valued.<br />
In order to get a spectral theory for (13.1) it is convenient to use<br />
the theory of symmetric relations, s<strong>in</strong>ce it is sometimes not possible<br />
to f<strong>in</strong>d a densely def<strong>in</strong>ed symmetric operator realiz<strong>in</strong>g the equation.<br />
Consequently, we must beg<strong>in</strong> by def<strong>in</strong><strong>in</strong>g a m<strong>in</strong>imal relation, show that<br />
it is symmetric, calculate its adjo<strong>in</strong>t and f<strong>in</strong>d the selfadjo<strong>in</strong>t restrictions<br />
of the adjo<strong>in</strong>t. We def<strong>in</strong>e the m<strong>in</strong>imal relation T0 to be the closure <strong>in</strong><br />
L 2 W ⊕ L2 W of the set of pairs (u, v) of elements <strong>in</strong> L2 W<br />
<br />
,<br />
with compact<br />
support <strong>in</strong> the <strong>in</strong>terior of I (i.e., which are 0 outside some compact<br />
sub<strong>in</strong>terval of the <strong>in</strong>terior of I which may be different for different pairs<br />
(u, v)) and such that u is locally absolutely cont<strong>in</strong>uous and satisfies the<br />
equation Ju ′ + Qu = W v. This relation between u and v may or may<br />
not be an operator (Exercise 13.2).<br />
The next step is to calculate the adjo<strong>in</strong>t of T0. In order to do this,<br />
we shall aga<strong>in</strong> use the classical variation of constants formula, now <strong>in</strong><br />
a more general form than <strong>in</strong> Lemma 10.4. Below we always assume<br />
that c is a fixed (but arbitrary) po<strong>in</strong>t <strong>in</strong> I. Let F (x, λ) be a n × n<br />
matrix-valued solution of JF ′ + QF = λW F with F (c, λ) <strong>in</strong>vertible.<br />
This means precisely that the columns of F are a basis for the solutions<br />
of (13.1) for v = λu. Such a solution is called a fundamental matrix for<br />
this equation. We will always <strong>in</strong> addition suppose that S = F (c, λ) is<br />
<strong>in</strong>dependent of λ and symplectic, i.e., S ∗ JS = J. We may for example<br />
take S equal to the n × n unit matrix or, if J is unitary, S = J.<br />
Lemma 13.4. We have F ∗ (x, λ)JF (x, λ) = J for any complex λ<br />
and x ∈ I. The solution u of Ju ′ + Qu = λW u + W v with <strong>in</strong>itial data