Metric measure spaces with Ricci bounds from below

In this survey we introduce new results on metric measure spaces with Ricci curvature bounded below, so-called <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="normal upper R normal upper C normal upper D"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">R</mml:mi> <mml:mi mathvariant="normal">C</mml:mi> <mml:mi mathvariant="normal">D</mml:mi> </mml:mrow> <mml:annotation encoding="application/x-tex">\mathrm {RCD}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> spaces, including stability results of several energies with respect to measured Gromov-Hausdorff convergence, Weyl’s law, and a characterization of noncollapsed RCD spaces.

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Publication Details

Journal
Sugaku Expositions
Published
2024-10-23
DOI
https://doi.org/10.1090/suga/493
Primary Topic
Geometric Analysis and Curvature Flows
Type
article
Field-Weighted Citation Impact
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article

Metric measure spaces with Ricci bounds from below

Shouhei Honda
Sugaku Expositions
Geometric Analysis and Curvature Flows
article

Metric measure spaces with Ricci bounds from below

Shouhei Honda
article en

Abstract

In this survey we introduce new results on metric measure spaces with Ricci curvature bounded below, so-called <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="normal upper R normal upper C normal upper D"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mi mathvariant="normal">R</mml:mi> <mml:mi mathvariant="normal">C</mml:mi> <mml:mi mathvariant="normal">D</mml:mi> </mml:mrow> <mml:annotation encoding="application/x-tex">\mathrm {RCD}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> spaces, including stability results of several energies with respect to measured Gromov-Hausdorff convergence, Weyl’s law, and a characterization of noncollapsed RCD spaces.

Sugaku Expositions
The University of Tokyo (JP)
Openalex Percentile: Top 69%
Geometric Analysis and Curvature Flows
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