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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.

Krylov complexity in the IP matrix model

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 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 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 in this model and at sufficiently high temperature, it grows linearly in with logarithmic corrections, which is one of the fastest growth under certain conditions. As a result, the Krylov complexity grows exponentially in time as . These results indicate that the IP model at sufficiently high temperature is chaotic.
Paper Structure (28 sections, 127 equations, 12 figures)

This paper contains 28 sections, 127 equations, 12 figures.

Figures (12)

  • Figure 1: The Krylov complexity $K(t)$ (left) and the Krylov entropy $S(t)$ (right) for the Lanczos coefficients given by eq. (\ref{['LancozsToyzeroT']}). We fix parameters as $\omega_0 = 0.8$, $M=0$, $g=1$, although there is no $M$-dependence.
  • Figure 2: Schwinger-Dyson equation for planar contributions to $\tilde{G}(\omega)$ (propagator with shaded rectangle) in terms of $\tilde{G}_0(\omega)$ and $\tilde{K}(\omega)$.
  • Figure 3: The model can be regarded as a reduced version of a large $N$ D0-brane background black hole with a D0 probe Iizuka:2001cw. The mass scale for D0-D0 fields is set to $m$, while the mass scale for D0-D0$_{\rm probe}$ fields is set to $M$. We consider the limit $M \gg m$ and $M \gg T$ at various $m/T$.
  • Figure 4: Numerical plots of $F(\omega)$ for $\nu_T = 1$, $m=0.2$ and $m=0.8$ at various temperatures from $T=0$ to $T=\infty$ where $y=e^{-m/T}$. For visibility, the scale of the vertical axis is changed as appropriate for each figure. To visualize poles at zero temperature, we set the imaginary part of $\omega$ to a small positive nonzero value.
  • Figure 5: Lanczos coefficients of the toy function (\ref{['ToymodelF']}). Each dot represents a numerical value of $b_n$. We also plot a curve $b_n=\frac{m\pi n}{4W(2m\pi n/\nu_T)}$, which is consistent with the numerical plots.
  • ...and 7 more figures