Table of Contents
Fetching ...

Canonical Typicality For Other Ensembles Than Micro-Canonical

Stefan Teufel, Roderich Tumulka, Cornelia Vogel

TL;DR

This work extends canonical and dynamical typicality from the uniform (micro-canonical) ensemble to GAP$(\rho)$ distributions, proving that for GAP-typical pure states the reduced state $\rho_a^{\psi}$ remains close to $\operatorname{tr}_b\rho$ when the largest eigenvalue $\|\rho\|$ is small. The authors develop a GAP-analogue of Lévy's concentration lemma and provide two robust error bounds: a polynomial bound (via a variance argument) and an exponential bound (via concentration of measure), plus a hierarchy of corollaries on dynamical behavior and conditional wave functions. The results imply a quantum-equivalence-of-ensembles perspective, showing that generalized canonical typicality holds for a broad class of physically relevant distributions beyond the uniform case. Overall, the paper demonstrates that high-dimensional concentration phenomena underpin typicality in quantum systems even under non-uniform, thermodynamically meaningful ensembles, with potential applicability to infinite-dimensional settings and thermal wave-function distributions.

Abstract

We generalize Lévy's lemma, a concentration-of-measure result for the uniform probability distribution on high-dimensional spheres, to a much more general class of measures, so-called GAP measures. For any given density matrix $ρ$ on a separable Hilbert space $\mathcal{H}$, GAP$(ρ)$ is the most spread out probability measure on the unit sphere of $\mathcal{H}$ that has density matrix $ρ$ and thus forms the natural generalization of the uniform distribution. We prove concentration-of-measure whenever the largest eigenvalue $\|ρ\|$ of $ρ$ is small. We use this fact to generalize and improve well-known and important typicality results of quantum statistical mechanics to GAP measures, namely canonical typicality and dynamical typicality. Canonical typicality is the statement that for ``most'' pure states $ψ$ of a given ensemble, the reduced density matrix of a sufficiently small subsystem is very close to a $ψ$-independent matrix. Dynamical typicality is the statement that for any observable and any unitary time-evolution, for ``most'' pure states $ψ$ from a given ensemble the (coarse-grained) Born distribution of that observable in the time-evolved state $ψ_t$ is very close to a $ψ$-independent distribution. So far, canonical typicality and dynamical typicality were known for the uniform distribution on finite-dimensional spheres, corresponding to the micro-canonical ensemble, and for rather special mean-value ensembles. Our result shows that these typicality results hold also for GAP$(ρ)$, provided the density matrix $ρ$ has small eigenvalues. Since certain GAP measures are quantum analogs of the canonical ensemble of classical mechanics, our results can also be regarded as a version of equivalence of ensembles.

Canonical Typicality For Other Ensembles Than Micro-Canonical

TL;DR

This work extends canonical and dynamical typicality from the uniform (micro-canonical) ensemble to GAP distributions, proving that for GAP-typical pure states the reduced state remains close to when the largest eigenvalue is small. The authors develop a GAP-analogue of Lévy's concentration lemma and provide two robust error bounds: a polynomial bound (via a variance argument) and an exponential bound (via concentration of measure), plus a hierarchy of corollaries on dynamical behavior and conditional wave functions. The results imply a quantum-equivalence-of-ensembles perspective, showing that generalized canonical typicality holds for a broad class of physically relevant distributions beyond the uniform case. Overall, the paper demonstrates that high-dimensional concentration phenomena underpin typicality in quantum systems even under non-uniform, thermodynamically meaningful ensembles, with potential applicability to infinite-dimensional settings and thermal wave-function distributions.

Abstract

We generalize Lévy's lemma, a concentration-of-measure result for the uniform probability distribution on high-dimensional spheres, to a much more general class of measures, so-called GAP measures. For any given density matrix on a separable Hilbert space , GAP is the most spread out probability measure on the unit sphere of that has density matrix and thus forms the natural generalization of the uniform distribution. We prove concentration-of-measure whenever the largest eigenvalue of is small. We use this fact to generalize and improve well-known and important typicality results of quantum statistical mechanics to GAP measures, namely canonical typicality and dynamical typicality. Canonical typicality is the statement that for ``most'' pure states of a given ensemble, the reduced density matrix of a sufficiently small subsystem is very close to a -independent matrix. Dynamical typicality is the statement that for any observable and any unitary time-evolution, for ``most'' pure states from a given ensemble the (coarse-grained) Born distribution of that observable in the time-evolved state is very close to a -independent distribution. So far, canonical typicality and dynamical typicality were known for the uniform distribution on finite-dimensional spheres, corresponding to the micro-canonical ensemble, and for rather special mean-value ensembles. Our result shows that these typicality results hold also for GAP, provided the density matrix has small eigenvalues. Since certain GAP measures are quantum analogs of the canonical ensemble of classical mechanics, our results can also be regarded as a version of equivalence of ensembles.
Paper Structure (20 sections, 15 theorems, 151 equations)

This paper contains 20 sections, 15 theorems, 151 equations.

Key Result

Theorem 1

Let $\mathcal{H}_a$ and $\mathcal{H}_b$ be Hilbert spaces with $\mathcal{H}_a$ having finite dimension $d_a$ and $\mathcal{H}_b$ being separable, and let $\rho$ be a density matrix on $\mathcal{H} = \mathcal{H}_a \otimes \mathcal{H}_b$. Then for every $\delta>0$, where $c=48\pi$.

Theorems & Definitions (40)

  • Remark 1
  • Theorem 1: Generalized canonical typicality, exponential bounds
  • Remark 2
  • Theorem 2: Lévy's lemma for GAP measures
  • Remark 3
  • Corollary 1
  • Remark 4
  • Corollary 2
  • Corollary 3
  • Corollary 4
  • ...and 30 more