ITITApr 23

Concavity of Tsallis Entropy and Tsallis Entropy Power along Heat Flow

arXiv:2601.1294459.7h-index: 4
AI Analysis

This work provides rigorous analytic results for non-additive entropy evolution, advancing the theoretical foundations of Tsallis statistics and information theory.

The paper proves concavity of Tsallis entropy along the heat flow in arbitrary dimensions for a range of the entropic index q, extending prior one-dimensional results. It also establishes concavity of Tsallis entropy power and recovers a generalized de Bruijn identity.

We study the evolution of Tsallis entropy along the heat flow and establish its concavity in arbitrary dimensions. Extending prior results that were restricted to the one-dimensional setting, we prove that the Tsallis entropy is concave in time for a nontrivial range of the entropic index $q$ in both the one-dimensional and higher-dimensional settings. The analysis is based on a nonlinear transformation, together with a novel estimate for the second-order time derivative of the entropy and a rigorous justification of the integration-by-parts identities required in the argument. Our approach is fully analytic and avoids the use of computer-assisted methods that have limited previous works in higher dimensions. As consequences, we recover a generalized de Bruijn identity, establish the monotonicity of the associated $q$-Fisher information along the heat flow, and derive concavity properties for the Tsallis entropy power, including asymptotic results under general initial conditions. In addition, our method yields a new functional inequality that may be of independent interest. These results contribute to the broader program of extending classical information-theoretic inequalities beyond the Shannon framework to non-additive entropy settings.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes