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New Geometric Coding Theorem Unifies Algorithmic Information Theory and Group Theory

This paper introduces the first in a series on Computational Algorithmic Statistics (CAS), focusing on a Geometric Coding Theorem. It establishes an analogue of the classical Coding Theorem within the context of symmetry groups, defining a 'symmetry prior' for strings. The research unifies algorithmic information theory with group theory, offering a new perspective on complexity measures. AI

IMPACT Introduces a theoretical framework that could influence future research in complexity measures and algorithmic information theory.

RANK_REASON The cluster contains an academic paper detailing a new theoretical result in computer science.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Geometric Coding Theorem Unifies Algorithmic Information Theory and Group Theory

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Romie Banerjee ·

    CAS I: A Geometric Coding Theorem

    arXiv:2607.13796v1 Announce Type: cross Abstract: This paper establishes a direct analogue of the classical Coding Theorem in the setting of symmetry groups. We consider computable bijections on the set of binary strings, called symmetries and define the symmetry prior of a strin…

  2. arXiv cs.AI TIER_1 English(EN) · Romie Banerjee ·

    CAS I: A Geometric Coding Theorem

    This paper establishes a direct analogue of the classical Coding Theorem in the setting of symmetry groups. We consider computable bijections on the set of binary strings, called symmetries and define the symmetry prior of a string as the probability that a randomly chosen symmet…