Skip to content
DraconiticResearch
Search Sources API
206,690 studies31 sourcesUpdated 18 min ago
Peer-reviewedCC BY-SASymmetry Integrability and Geometry Methods and Applications

Rectangular Matrix Additions in Low and High Temperatures

  1. 1USA

Abstract

We study the addition of two independent random N× M rectangular matrices with invariant distributions in two limiting regimes, where the parameter β (inverse temperature) tends to infinity and $0$. In the low temperature regime the random singular values of the sum concentrate at deterministic points, while in the high temperature regime, we obtain a law of large numbers for the empirical measures. As a consequence, we obtain a duality between low and high temperatures. Our proof uses the type BC Bessel function as characteristic function of rectangular matrices, and through the analysis of this function we introduce a new family of cumulants, that linearize the addition in the high temperature limit, and degenerate to the classical and free cumulants in special cases.

Related

  1. Halley's Method for Rectangular Matrix Variables and the Matrix Schwarzian Derivative
    Shintaro Yoshizawa
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
  2. Information-Theoretic Limits for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
    Qun Chen, Rudy Skerk, Jean Barbier +3
    arXivPreprintarXiv licenceFull textStatisticsCondensed matterarXiv
  3. Strong Duality Thresholds and Minimum Curvature for the Nearest Rectangular Symplectic Matrix Problem
    Yulin Xie, Aiqing Zhu, Yifa Tang
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingOptimisation & controlarXiv
  4. Fast mixing of the SYK model at high temperatures
    Yiyi Cai, Yongtao Zhan, Alexander Zlokapa
    arXivPreprintCC BY 4.0Full textMathematical physicsCondensed matterarXiv
  5. High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression
    Syamantak Kumar, Purnamrita Sarkar, Kevin Tian +1
    arXivPreprintCC BY 4.0Full textProbabilityStatisticsarXiv
BibTeX
@article{xu2026rectangular,
  title = {{Rectangular Matrix Additions in Low and High Temperatures}},
  author = {Jiaming Xu},
  journal = {Symmetry Integrability and Geometry Methods and Applications},
  year = {2026},
  month = may,
  doi = {10.3842/sigma.2026.053},
  url = {https://doi.org/10.3842/sigma.2026.053},
  note = {CC BY-SA},
}
RIS
TY  - JOUR
TI  - Rectangular Matrix Additions in Low and High Temperatures
AU  - Jiaming Xu
PY  - 2026
DA  - 2026/05/27
JO  - Symmetry Integrability and Geometry Methods and Applications
DO  - 10.3842/sigma.2026.053
UR  - https://doi.org/10.3842/sigma.2026.053
AB  - We study the addition of two independent random N× M rectangular matrices with invariant distributions in two limiting regimes, where the parameter β (inverse temperature) tends to infinity and $0$. In the low temperature regime the random singular values of the sum concentrate at deterministic points, while in the high temperature regime, we obtain a law of large numbers for the empirical measures. As a consequence, we obtain a duality between low and high temperatures. Our proof uses the type BC Bessel function as characteristic function of rectangular matrices, and through the analysis of this function we introduce a new family of cumulants, that linearize the addition in the high temperature limit, and degenerate to the classical and free cumulants in special cases.
SN  - 1815-0659
ER  -