Variational formula for the logarithmic potential of free additive convolutions
Francesco Concetti, David Belius, Giuseppe Genovese

TL;DR
This paper derives a general variational formula for the logarithmic potential of free additive convolutions of probability measures, linking it to the R-transform and simplifying for specific laws like semicircle and Marchenko-Pastur.
Contribution
It introduces a novel variational formula for the logarithmic potential of free additive convolutions, applicable to various important probability measures.
Findings
Provides a unified formula for the logarithmic potential of free additive convolutions.
Simplifies the formula for semicircle and Marchenko-Pastur laws.
Facilitates estimates of determinants of sums of independent random matrices.
Abstract
We establish a general variational formula for the logarithmic potential of the free additive convolution of two compactly supported probability measure on . The formula is given in terms of the -transform of the first measure, and the logarithmic potential of second measure. The result applies in particular to the additive convolution with the semicircle or Marchenko-Pastur laws, for which the formula simplifies. The logarithmic potential of additive convolutions appears for instance in estimates of the determinant of sums of independent random matrices.
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
TopicsNumerical methods in inverse problems · Spectral Theory in Mathematical Physics · Differential Equations and Boundary Problems
