Pith. sign in

REVIEW 1 cited by

Ricci limit flows and weak solutions

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2108.02944 v2 pith:XEGWCLIB submitted 2021-08-06 math.DG math.APmath.PR

classification math.DGmath.APmath.PR
keywords ricciestimatesflowflowshaslhofer-naberheathittingkernel
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In this paper we reconcile several different approaches to Ricci flow through singularities that have been proposed over the last few years by Kleiner-Lott, Haslhofer-Naber and Bamler. Specifically, we prove that every noncollapsed limit of Ricci flows, as provided by Bamler's precompactness theorem, as well as every singular Ricci flow from Kleiner-Lott, is a weak solution in the sense of Haslhofer-Naber. We also generalize all path-space estimates from Haslhofer-Naber to the setting of noncollapsed Ricci limit flows. The key step to establish these results is a new hitting estimate for Brownian motion. A fundamental difficulty, in stark contrast to all prior hitting estimates in the literature, is the lack of lower heat kernel bounds under Ricci flow. To overcome this, we introduce a novel approach to hitting estimates that compensates for the lack of lower heat kernel bounds by making use of the heat kernel geometry of space-time.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Preserving curvature lower bounds when Ricci flowing non-smooth initial data

    math.DG 2024-11 conditional novelty 1.0 of 10

    A survey of results on Ricci flow from non-smooth initial data, focusing on preservation of lower curvature bounds and open problems.

Pith tools