Thermal Bootstrap of Matrix Quantum Mechanics
Minjae Cho, Barak Gabai, Joshua Sandor, Xi Yin
TL;DR
This work develops a thermal bootstrap framework for ungauged matrix quantum mechanics by combining stationary-state constraints, KMS-based convex inequalities, and semidefinite relaxations of the matrix logarithm to bound finite-temperature observables. The method is validated on the anharmonic oscillator and extended to the ungauged one-matrix QM, with finite-$N$ and planar-limit implementations that yield convergent bounds on the energy $E(\beta)$ across temperatures. Analytic high- and low-temperature expansions are used to benchmark the results, and the bootstrap successfully interpolates between them while enabling extraction of the adjoint-sector energy gap $\Delta_1$. Additionally, the approach provides insights into thermal metastability and a preliminary foray into the two-matrix case, highlighting both the potential and the challenges for applying thermal bootstrap to holographic matrix models such as BFSS at finite temperature.
Abstract
We implement a bootstrap method that combines stationary state conditions, thermal inequalities, and semidefinite relaxations of matrix logarithm in the ungauged one-matrix quantum mechanics, at finite rank N as well as in the large N limit, and determine finite temperature observables that interpolate between available analytic results in the low and high temperature limits respectively. We also obtain bootstrap bounds on thermal phase transition as well as preliminary results in the ungauged two-matrix quantum mechanics.
