Hamilton-Jacobi equations for nonsymmetric matrix inference
DOI10.1214/21-AAP1739zbMath1498.82010arXiv2006.05328OpenAlexW3035440100MaRDI QIDQ2083257
Publication date: 10 October 2022
Published in: The Annals of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.05328
Random matrices (probabilistic aspects) (60B20) Disordered systems (random Ising models, random Schrödinger operators, etc.) in equilibrium statistical mechanics (82B44) Statistical mechanics of random media, disordered materials (including liquid crystals and spin glasses) (82D30) Phase transitions (general) in equilibrium statistical mechanics (82B26) Critical phenomena in equilibrium statistical mechanics (82B27) Random matrices (algebraic aspects) (15B52) Hamilton-Jacobi equations (35F21)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Exact solution of the gauge symmetric \(p\)-spin glass model on a complete graph
- Fundamental limits of symmetric low-rank matrix estimation
- Hamilton-Jacobi equations for mean-field disordered systems
- Extending the Parisi formula along a Hamilton-Jacobi equation
- The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference
- Hamilton-Jacobi equations for finite-rank matrix inference
- Concentration Inequalities
- Replica symmetry breaking in mean-field spin glasses through the Hamilton–Jacobi technique
- A mechanical approach to mean field spin models
- On Hopf's formulas for solutions of Hamilton-Jacobi equations
- Hopf Formula and Multitime Hamilton-Jacobi Equations
- High-Dimensional Probability
- Mutual information for low-rank even-order symmetric tensor estimation
- The Parisi formula is a Hamilton–Jacobi equation in Wasserstein space
- Statistical mechanics of low-rank tensor decomposition