English

Mixing times of Langevin dynamics for spiked matrix models

Probability 2026-05-22 v2

Abstract

We investigate the Langevin dynamics for Wigner matrices with a spherical spike, in the regime where the signal-to-noise ratio θ\theta is large, but order one. For large, order-11, signal-to-noise, the (worst-case) mixing time undergoes a sharp transition around the critical inverse temperature βc(θ)=1θ\beta_c(\theta) = \frac{1}{\theta}. Namely, if β=α/θ\beta = \alpha/\theta, and α<1\alpha<1 then at large θ\theta the mixing time is O(logN)O(\log N), and if α>1\alpha>1 it is exponential in NN. We show that initialized from the uniform-at-random spherical prior, however, the mixing time in the low-temperature α>1\alpha>1 regime circumvents the exponential bottleneck and the mixing time is O(logN)O(\log N). In fact, this fast mixing holds for any initialization that is symmetric with respect to the top eigenvector of the spiked matrix. Using this, we are able to show a low-temperature metastability picture, pinning down the exact exponential rate of the (worst-case initialization) mixing time for low temperatures, showing it is given by the difference of the free energies of the spiked and null models.

Keywords

Cite

@article{arxiv.2604.20008,
  title  = {Mixing times of Langevin dynamics for spiked matrix models},
  author = {Reza Gheissari and Curtis Grant and Tianmin Yu},
  journal= {arXiv preprint arXiv:2604.20008},
  year   = {2026}
}

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35 pages