Optimal localization for the Einstein constraints
Bruno Le Floch, Philippe G. LeFloch

TL;DR
This paper develops an optimal localization method for Einstein's initial data sets, enabling solutions with minimal decay at infinity and providing new harmonic estimates for the linearized Einstein operator.
Contribution
It introduces a variational projection operator for localized solutions, derives harmonic estimates, and proves a conjecture on the localization problem in Einstein's equations.
Findings
Achieved optimal gluing and decay for Einstein initial data.
Derived new harmonic estimates for the linearized Einstein operator.
Proved a conjecture on the localization problem by Carlotto and Schoen.
Abstract
We consider asymptotically Euclidean, initial data sets for Einstein's field equations and solve the localization problem at infinity, also called gluing problem. We achieve optimal gluing and optimal decay, in the sense that we encompass solutions with possibly arbitrarily low decay at infinity and establish (super-)harmonic estimates within possibly arbitrarily narrow conical domains. In the localized seed-to-solution method (as we call it), we define a variational projection operator which associates the solution to the Einstein constraints that is closest to any given localized seed data set (as we call it). Our main contribution concerns the derivation of harmonic estimates for the linearized Einstein operator and its formal adjoint which, in particular, includes new analysis on the linearized scalar curvature operator. The statement of harmonic estimates requires the notion of…
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Taxonomy
TopicsNumerical methods in inverse problems · Advanced Mathematical Modeling in Engineering · Advanced Mathematical Physics Problems
