A Universal Operator Growth Hypothesis
Daniel E. Parker, Xiangyu Cao, Alexander Avdoshkin, Thomas Scaffidi, Ehud Altman
TL;DR
The paper proposes a universal operator growth hypothesis: in generic non-integrable many-body systems, Lanczos coefficients grow linearly with index, with a 1D logarithmic correction, and the growth rate $\alpha$ governs exponential operator growth and bounds a broad class of operator complexities, including OTOCs. It connects high-frequency spectral tails to the Lanczos data, derives bounds on the Lyapunov exponent $\lambda_L\le 2\alpha$, and provides analytic and numerical evidence from SYK, spin chains, and classical chaos. The work further develops a practical method to compute diffusion constants via a meromorphic continuation of the Green's function using the continued fraction expansion, and extends the framework to finite temperatures with a conjectured finite-$T$ chaos bound. Overall, the results offer a coherent, testable picture linking operator growth, chaos, hydrodynamics, and diffusion in quantum many-body dynamics, with potential implications for both theory and experiment.
Abstract
We present a hypothesis for the universal properties of operators evolving under Hamiltonian dynamics in many-body systems. The hypothesis states that successive Lanczos coefficients in the continued fraction expansion of the Green's functions grow linearly with rate $α$ in generic systems, with an extra logarithmic correction in 1d. The rate $α$ --- an experimental observable --- governs the exponential growth of operator complexity in a sense we make precise. This exponential growth even prevails beyond semiclassical or large-$N$ limits. Moreover, $α$ upper bounds a large class of operator complexity measures, including the out-of-time-order correlator. As a result, we obtain a sharp bound on Lyapunov exponents $λ_L \leq 2 α$, which complements and improves the known universal low-temperature bound $λ_L \leq 2 πT$. We illustrate our results in paradigmatic examples such as non-integrable spin chains, the Sachdev-Ye-Kitaev model, and classical models. Finally we use the hypothesis in conjunction with the recursion method to develop a technique for computing diffusion constants.
