Krylov complexity in the IP matrix model
Norihiro Iizuka, Mitsuhiro Nishida
TL;DR
The paper analyzes operator growth and chaos in the IP matrix model by computing Lanczos coefficients and Krylov metrics from the large-N Schwinger-Dyson solution. It shows that at high temperature the Lanczos coefficients grow linearly with n up to logarithmic corrections, driving Krylov complexity to grow as K(t) ~ exp(O(√t)), signaling chaotic dynamics in the deconfined phase. In contrast, zero temperature or massless adjoint cases yield discrete spectra or bounded, oscillatory Krylov behavior, indicating non-chaotic regimes. The results establish a concrete linkage between spectral properties, temperature, and operator growth, with implications for chaos diagnostics in gauge/gravity duals. The work highlights large-N and temperature as essential ingredients for maximal Krylov growth in matrix quantum mechanics and suggests Krylov measures as potential order parameters for confinement/deconfinement transitions.
Abstract
The IP matrix model is a simple large $N$ quantum mechanical model made up of an adjoint harmonic oscillator plus a fundamental harmonic oscillator. It is a model introduced previously as a toy model of the gauge theory dual of an AdS black hole. In the large $N$ limit, one can solve the Schwinger-Dyson equation for the fundamental correlator, and at sufficiently high temperature, this model shows key signatures of thermalization and information loss; the correlator decay exponentially in time, and the spectral density becomes continuous and gapless. We study the Lanczos coefficients $b_n$ in this model and at sufficiently high temperature, it grows linearly in $n$ with logarithmic corrections, which is one of the fastest growth under certain conditions. As a result, the Krylov complexity grows exponentially in time as $\sim \exp\left({\cal{O}{\left(\sqrt{t}\right) }}\right)$. These results indicate that the IP model at sufficiently high temperature is chaotic.
