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Quantitative stability for minimizing Yamabe metrics

Max Engelstein, Robin Neumayer, Luca Spolaor

2022Transactions of the American Mathematical Society Series B15 citationsDOIOpen Access PDF

Abstract

On any closed Riemannian manifold of dimension <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="n greater-than-or-equal-to 3"> <mml:semantics> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo> ≥ </mml:mo> <mml:mn>3</mml:mn> </mml:mrow> <mml:annotation encoding="application/x-tex">n\geq 3</mml:annotation> </mml:semantics> </mml:math> </inline-formula> , we prove that if a function nearly minimizes the Yamabe energy, then the corresponding conformal metric is close, in a quantitative sense, to a minimizing Yamabe metric in the conformal class. Generically, this distance is controlled quadratically by the Yamabe energy deficit. Finally, we produce an example for which this quadratic estimate is false.

Topics & Concepts

MathematicsMetric (unit)Dimension (graph theory)Conformal mapStability (learning theory)Quadratic equationManifold (fluid mechanics)AlgorithmCombinatoricsMathematical analysisComputer scienceGeometryMachine learningEngineeringMechanical engineeringEconomicsOperations managementNonlinear Partial Differential EquationsAdvanced Mathematical Modeling in EngineeringGeometric Analysis and Curvature Flows
Quantitative stability for minimizing Yamabe metrics | Litcius