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Counterexamples to the conjectured ordering between the waiting-time bound and the thermodynamic uncertainty bound on entropy production

Jie Gu

TL;DR

The paper investigates whether the waiting-time distribution bound $\sigma_{\mathcal{L}}$ universally dominates the thermodynamic uncertainty relation bound $\sigma_{\mathrm{TUR}}$ for entropy production under partial observation. Using a formal CTMC framework with a single observed bidirectional link, it derives the TUR bound $\sigma_{\mathrm{TUR}}=j^2/D$ and the waiting-time bound $\sigma_{\mathcal{L}}=\sigma_{\ell}+\sigma_t$ based on the observed sequence of transitions and waiting times. Through a large-scale numerical search in 4-state networks, the authors exhibit counterexamples where $\sigma_{\mathcal{L}}<\sigma_{\mathrm{TUR}}$, notably for a specific matrix with $\sigma_{\mathrm{TUR}} \approx 12.353$ and $\sigma_{\mathcal{L}} \approx 12.204$, while the full entropy production is $\sigma \approx 40.991$. This result shows that no universal ordering exists between the two inference bounds under partial observation and suggests the need to identify subclasses of networks or observation schemes where a bound ordering can be established.

Abstract

Two widely used model-free lower bounds on the steady-state entropy production rate of a continuous-time Markov jump process are the thermodynamic uncertainty relation (TUR) bound $σ_\text{TUR}$, derived from the mean and variance of a current, and the waiting-time distribution (WTD) bound $σ_\mathcal{L}$, derived from the irreversibility of partially observed transition sequences together with their waiting times. It has been conjectured that $σ_{\mathcal L}$ is always at least as tight as $σ_{\mathrm{TUR}}$ when both are constructed from the same partially observed link. Here we provide four-state counterexamples in a nonequilibrium steady state where $σ_{\mathcal L}<σ_{\mathrm{TUR}}$. This result shows that no universal ordering exists between these two inference bounds under partial observation.

Counterexamples to the conjectured ordering between the waiting-time bound and the thermodynamic uncertainty bound on entropy production

TL;DR

The paper investigates whether the waiting-time distribution bound universally dominates the thermodynamic uncertainty relation bound for entropy production under partial observation. Using a formal CTMC framework with a single observed bidirectional link, it derives the TUR bound and the waiting-time bound based on the observed sequence of transitions and waiting times. Through a large-scale numerical search in 4-state networks, the authors exhibit counterexamples where , notably for a specific matrix with and , while the full entropy production is . This result shows that no universal ordering exists between the two inference bounds under partial observation and suggests the need to identify subclasses of networks or observation schemes where a bound ordering can be established.

Abstract

Two widely used model-free lower bounds on the steady-state entropy production rate of a continuous-time Markov jump process are the thermodynamic uncertainty relation (TUR) bound , derived from the mean and variance of a current, and the waiting-time distribution (WTD) bound , derived from the irreversibility of partially observed transition sequences together with their waiting times. It has been conjectured that is always at least as tight as when both are constructed from the same partially observed link. Here we provide four-state counterexamples in a nonequilibrium steady state where . This result shows that no universal ordering exists between these two inference bounds under partial observation.
Paper Structure (20 sections, 59 equations, 1 figure)

This paper contains 20 sections, 59 equations, 1 figure.

Figures (1)

  • Figure 1: Numerical search over randomly generated $4$-state Markov jump processes (all-to-all positive rates drawn from a lognormal distribution) with a single observed link $1\leftrightarrow 4$. The scatter plot shows (a) $\sigma_{\mathrm{TUR}}/\sigma_{\mathcal{L}}$ and (b) $\sigma_{\mathrm{TUR}}/\sigma_{\ell}$ versus the index of valid sampled generators. Points above the horizontal line at $1$ (represented by red crosses) indicate counterexamples with $\sigma_{\mathcal{L}}<\sigma_{\mathrm{TUR}}$ or $\sigma_{\mathcal{L}}<\sigma_{\ell}$.