Published April 3, 2023 | Version public
Journal Article

Moufang patterns and geometry of information

  • 1. ROR icon Max Planck Society
  • 2. ROR icon California Institute of Technology

Abstract

Technology of data collection and information transmission is based on various mathematical models of encoding. The words "Geometry of information" refer to such models, whereas the words "Moufang patterns" refer to various sophisticated symmetries appearing naturally in such models. In this paper, we show that the symmetries of spaces of probability distributions, endowed with their canonical Riemannian metric of information geometry, have the structure of a commutative Moufang loop. We also show that the F-manifold structure on the space of probability distribution can be described in terms of differential -webs and Malcev algebras. We then present a new construction of (non-commutative) Moufang loops associated to almost-symplectic structures over finite fields, and use them to construct a new class of code loops with associated quantum error-correcting codes and networks of perfect tensors.

Additional Information

© 2023 International Press of Boston, Inc. N. C. Combe acknowledges support from the Minerva Fast track grant from the Max Planck Institute for Mathematics in the Sciences, in Leipzig. Y. I. Manin acknowledges the continuing strong support from the Max Planck Institute for Mathematics in Bonn. M. Marcolli acknowledges support from NSF grants DMS-1707882 and DMS-2104330.

Additional details

Identifiers

Eprint ID
121573
Resolver ID
CaltechAUTHORS:20230526-436673000.11

Funding

Max Planck Institute for Mathematics in the Sciences
NSF
DMS-1707882
NSF
DMS-2104330

Dates

Created
2023-06-28
Created from EPrint's datestamp field
Updated
2023-06-28
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