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zbMATH Open
Article . 2017
Data sources: zbMATH Open
Transactions of the American Mathematical Society
Article . 2016 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2014
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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The Gauss-Bonnet-Chern theorem: A probabilistic perspective

The Gauss-Bonnet-Chern theorem: a probabilistic perspective
Authors: Nicolaescu, Liviu I.; Savale, Nikhil;

The Gauss-Bonnet-Chern theorem: A probabilistic perspective

Abstract

We prove that the Euler form of a metric connection on real oriented vector bundle $E$ over a compact oriented manifold $M$ can be identified, as a current, with the expectation of the random current defined by the zero-locus of a certain random section of the bundle. We also explain how to reconstruct probabilistically the metric and the connection on $E$ from the statistics of random sections of $E$.

35 pages, references added, fixed typos, to appear Trans. Amer. Math. Soc

Related Organizations
Keywords

Mathematics - Differential Geometry, Mathematics - Analysis of PDEs, FOS: Mathematics, Euler form, heat kernel asymptotics, Integral geometry, wave kernel asymptotics, currents, random sections, Asymptotic distributions of eigenvalues in context of PDEs, Gauss-Bonnet-Chern theorem, Probability (math.PR), Heat and other parabolic equation methods for PDEs on manifolds, connections, Global Riemannian geometry, including pinching, 35P20, 53C65, 58J35, 58J40, 58J50, 60D05, Gaussian measures, Differential Geometry (math.DG), curvature, Pseudodifferential and Fourier integral operators on manifolds, Geometric probability and stochastic geometry, Laplacian, Mathematics - Probability, Analysis of PDEs (math.AP)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green
bronze