2008
DOI: 10.1103/physrevlett.100.161101
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Far-from-Constant Mean Curvature Solutions of Einstein’s Constraint Equations with Positive Yamabe Metrics

Abstract: We establish new existence results for the Einstein constraint equations for mean extrinsic curvature arbitrarily far from constant. The results hold for rescaled background metric in the positive Yamabe class, with freely specifiable parts of the data sufficiently small, and with matter energy density not identically zero. Two technical advances make these results possible: A new topological fixed-point argument without smallness conditions on spatial derivatives of the mean extrinsic curvature, and a new glo… Show more

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Cited by 33 publications
(64 citation statements)
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“…In this paper, we prove a far-from-CMC result similar to [15,20,21,29] for the conformal Einstein-scalar field constraint equations on compact Riemannian manifolds with positive (modified) Yamabe invariant. …”
supporting
confidence: 53%
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“…In this paper, we prove a far-from-CMC result similar to [15,20,21,29] for the conformal Einstein-scalar field constraint equations on compact Riemannian manifolds with positive (modified) Yamabe invariant. …”
supporting
confidence: 53%
“…This assumption however will turn out to be very important in our analysis and plays a role analog to the assumption that the metric g has positive Yamabe invariant in [20,21,29]. Another important assumption we will need is that (M, g) has no non-zero conformal Killing vector field.…”
Section: Acknowledgementsmentioning
confidence: 98%
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“…One motivation for that study was to examine the uniqueness of solutions in the far-fromconstant mean curvature regime now that existence results for this case exist (see [8], [14]). He found interesting non-existence and non-uniqueness results showing that the constraints are ill-posed beyond the non-uniqueness that is introduced when one couples the lapse fixing equation to the four constraint equations, as in the extended conformal thin sandwich (XCTS) formulation (see [15], [2], [19]) and some constrained evolution schemes (see [16], [6] for a resolution of this scaling problem).…”
Section: Introductionmentioning
confidence: 99%