DIFFERENTIAL LIMIT A NOVEL APPROACH

Differential Limit is a novel way in group algebra to explain various phenomenafrom artificial intelligence, NP-Complete, Reimann zeta function, Fermat’s theorem, Closed-form solutions, Numerical approximations, Neural networks for Universal Approximation,Neural Network activation functions, Recurrent Neural Networks and Generative ArtificialIntelligence like ChatGPT. This work lays the foundational group algebra for the differentiallimits and explains the various phenomena in its new framework. The significant resultsunder this framework are P, not equal NP, Reimann Hypothesis, simple Fermat’s theoremproof, the limit for closed-form solutions to use numerical approximations, a mathematicalframework for neural networks, attention-based architectures, generative neural networks,and the extensive applications of which have important consequences.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-19
DOI
https://doi.org/10.5281/zenodo.15049524
Primary Topic
Algebraic and Geometric Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

DIFFERENTIAL LIMIT A NOVEL APPROACH

Zenodo (CERN European Organization for Nuclear Research)
Algebraic and Geometric Analysis
article

DIFFERENTIAL LIMIT A NOVEL APPROACH

article en

Abstract

Differential Limit is a novel way in group algebra to explain various phenomenafrom artificial intelligence, NP-Complete, Reimann zeta function, Fermat’s theorem, Closed-form solutions, Numerical approximations, Neural networks for Universal Approximation,Neural Network activation functions, Recurrent Neural Networks and Generative ArtificialIntelligence like ChatGPT. This work lays the foundational group algebra for the differentiallimits and explains the various phenomena in its new framework. The significant resultsunder this framework are P, not equal NP, Reimann Hypothesis, simple Fermat’s theoremproof, the limit for closed-form solutions to use numerical approximations, a mathematicalframework for neural networks, attention-based architectures, generative neural networks,and the extensive applications of which have important consequences.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
Algebraic and Geometric Analysis
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