Original official author HTML, exact retained edition. Historical TeX conversion verdicts remain unchanged. Cited-edition alignment and mathematical self-containment are not assessed.
Complete original source context · Original author HTML
Proof.
The method is to set up a Banach iteration scheme to correct the volume form error. The generalised Gibbons-Hawking equation can be rewritten in the linearised form
|
|
|
where the linearised operator
|
|
|
The key point below is that in the quadratic term is small while is approximately .
- •
Start with the initial volume form error on , where according to Lemma 3.16.
We will only need the precise value of in the shrinked region .
- •
Define the extension norm for a function on as the infimum of the -norms for all functions extending with compact support inside . The extension norm of is bounded by , since we can find an appropriate cutoff function such that provides a required extension.
- •
Apply Proposition 3.21 to produce
with second derivative bound on ,
|
|
|
In particular on ,
|
|
|
which in fact holds on the entire using -harmonicity in .
Whence the quadratic term is bounded on by
|
|
|
The last inequality uses the condition .
The linearised equation is approximately satisfied on :
|
|
|
where we used the metric deviation estimate in Lemma 3.12.
Elementary algebra shows that inside , the volume form error is improved:
|
|
|
|
|
|
More formally the extension norm of is far smaller than that of , after taking into account the cutoff procedures.
- •
Iterate this procedure to produce , each time improving the extension norm by a factor say . The second derivative estimate
|
|
|
implies that the series
converges. The series also converges after possibly adjusting by some affine linear functions, and satisfies the Hessian estimate
By construction the generalised Gibbons-Hawking equation holds on .
∎