Skip to content
DraconiticResearch
Search Sources API
182,549 studies31 sourcesUpdated 19 min ago
PreprintCC BY 4.0HAL

Efficient computation of the asymptotics of extensive-rank HCIZ integrals

Abstract

We study the high-dimensional asymptotics of Harish-Chandra-Itzykson-Zuber (HCIZ) integrals in the extensive-rank regime. The limit of these integrals is governed by a one-dimensional boundary-value hydrodynamical problem originally derived by Matytsin (1994) and rigorously proved by Guionnet and Zeitouni (2002). Despite its wide-ranging applications, explicit solutions to this problem are known only in a few specific cases. In this work, we introduce an efficient numerical scheme based on a particle discretization and prove its convergence to the continuous boundary-value problem for generic boundary densities. We validate our approach against known analytical solutions and apply it to generic densities, uncovering interesting dynamical phenomena. The high-dimensional limit of HCIZ integrals appears in various contexts, from the large deviations of random matrix spectra to the limiting free energy of disordered systems, high-dimensional statistics, and machine learning. As such, our contribution opens the way towards the numerical exploration of a wide range of high-dimensional models that were previously intractable.

Related

  1. Fourier Transform-Based Computation of Two-Electron Four-Center Coulomb Repulsion Integrals
    William Chen, Lior Silberman, Ury Segal +1
    arXivPreprintCC BY 4.0Full textPhysical chemistryNumerical analysis & scientific computingarXiv
  2. Rough spectral asymptotics for commutators of general singular integrals
    Tuomas Hytönen
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  3. Rank-One HCIZ Integrals and Multiplicative Convolutions
    Benoît Collins, Nicolas Delporte, Manasa Nagatsu +1
    arXivPreprintarXiv licenceFull textAnalysis & PDEsMathematical physicsarXiv
  4. Rank and computation of the pathlifting Jacobian of a DAG ReLU network.
    Manon Verbockhaven
    HALPreprintCC BY 4.0Full textStatisticsHALarXiv
  5. Accelerated S-NFC for Million-Chaff RCS Computation Using Low-Rank Compression of Concatenated Block Rows
    Dong-Yeop Na, Somyeong Lee, Chung Hyun Lee
    arXivPreprintarXiv licenceFull textGeneral mathematicsComputational physicsarXiv
BibTeX
@misc{maillard2026efficient,
  title = {{Efficient computation of the asymptotics of extensive-rank HCIZ integrals}},
  author = {Antoine Maillard and Jean-Christophe Mourrat},
  howpublished = {HAL},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.07771},
  eprint = {2609.07771},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05771867v1},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Efficient computation of the asymptotics of extensive-rank HCIZ integrals
AU  - Antoine Maillard
AU  - Jean-Christophe Mourrat
PY  - 2026
DA  - 2026/09/07
PB  - HAL
DO  - 10.48550/arxiv.2609.07771
UR  - https://hal.science/hal-05771867v1
AB  - We study the high-dimensional asymptotics of Harish-Chandra-Itzykson-Zuber (HCIZ) integrals in the extensive-rank regime. The limit of these integrals is governed by a one-dimensional boundary-value hydrodynamical problem originally derived by Matytsin (1994) and rigorously proved by Guionnet and Zeitouni (2002). Despite its wide-ranging applications, explicit solutions to this problem are known only in a few specific cases. In this work, we introduce an efficient numerical scheme based on a particle discretization and prove its convergence to the continuous boundary-value problem for generic boundary densities. We validate our approach against known analytical solutions and apply it to generic densities, uncovering interesting dynamical phenomena. The high-dimensional limit of HCIZ integrals appears in various contexts, from the large deviations of random matrix spectra to the limiting free energy of disordered systems, high-dimensional statistics, and machine learning. As such, our contribution opens the way towards the numerical exploration of a wide range of high-dimensional models that were previously intractable.
ER  -