Moments of Two-Variable Functions and the Uniqueness of Graph Limits
Christian Borgs, Jennifer Chayes, Laszlo Lovasz

TL;DR
This paper proves that the moments of symmetric functions on [0,1]^2 uniquely determine the function up to measure-preserving transformations, ensuring the uniqueness of graph limits for convergent dense graph sequences.
Contribution
It establishes that moments of symmetric functions uniquely identify the functions up to measure-preserving transformations, confirming the uniqueness of graph limits.
Findings
Functions are determined by their moments up to measure-preserving transformations
Limit of convergent dense graph sequences is unique up to measure-preserving transformation
Provides a moment-based characterization of graph limits
Abstract
For a symmetric bounded measurable function W on [0,1]^2, "moments" of W can be defined as values t(F,W) indexed by simple graphs. We prove that every such function is determined by its moments up to a measure preserving transformation of the variables. This implies that the limit of a convergent dense graph sequence is unique up to measure preserving transformation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Limits and Structures in Graph Theory · Markov Chains and Monte Carlo Methods
