ITITPRApr 12

Isometric Invariant Quantification of Gaussian Divergence over Poincare Disc

arXiv:2602.1715923.5h-index: 6
AI Analysis

For information theory researchers, this offers a novel geometric perspective on Gaussian divergence, but the contribution is theoretical and incremental.

The paper establishes a geometric duality between the spherical squared-Hellinger distance and a hyperbolic isometric invariant, proposing the use of this invariant to quantify divergence between Gaussian measures. No concrete numerical results are provided.

The paper presents a geometric duality between the spherical squared-Hellinger distance and a hyperbolic isometric invariant of the Poincare disc under the action of the general Mobius group. Motivated by the geometric connection, we propose the usage of the L2-embedded hyperbolic isometric invariant as an alternative way to quantify divergence between Gaussian measures as a contribution to information theory.

Foundations

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