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Metric Measure Space


A metric measure space is a metric space equipped with a measure on its Borel sets. A probability metric measure space is a triple (X,d,mu) with mu(X)=1. An equivalence of such spaces must preserve both distances and the measure, rather than just the metric. For a finite connected graph, graph distance and a probability measure on its vertices give an example. Random planar maps use the corner probability measure, which weights a vertex by its degree rather than assigning equal mass to every vertex. The Gromov-Hausdorff-Prokhorov distance compares compact probability metric measure spaces while retaining both structures.


See also

Cheeger Energy, Curvature-Dimension Condition, Gromov-Hausdorff-Prokhorov Distance, Metric Space, Probability Measure, Random Planar Map, RCD Space

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References

Abraham, R.; Delmas, J.-F.; and Hoscheit, P. "A Note on the Gromov-Hausdorff-Prokhorov Distance Between (Locally) Compact Metric Measure Spaces." Electron. J. Probab. 18, No. 14, 1-21, 2013. https://doi.org/10.1214/EJP.v18-2116.Addario-Berry, L. and Wen, Y. "Joint Convergence of Random Quadrangulations and Their Cores." Ann. Inst. H. Poincaré Probab. Statist. 53, 1890-1920, 2017. https://doi.org/10.1214/16-AIHP775.

Cite this as:

Weisstein, Eric W. "Metric Measure Space." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/MetricMeasureSpace.html

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