An Algebra of Transformers

On the theoretic analyses on transforms, they mainly focus on the computability analysis, such the Turing-completeness of unbounded precision transformers, the advantage of parallelizability of unbounded precision transformers and the limitations of bounded precision transformers. This paper give transformers an algebra for reasoning, which relies heavily on the functional decomposition results of transformers. This algebra uses functional decompositions as atomic actions, includes sequential composition and parallel composition, recursion for feedback and abstraction for hidden layers. As we know, it is the first attempt to model transformers logically and can be used to verify the correctness of transformer based applications.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.36795
Primary Topic
Logic, programming, and type systems
Type
preprint
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preprint

An Algebra of Transformers

Hexiao Kang, Zhiyan Wang, Yong Wang
arXiv (Cornell University)
Logic, programming, and type systems
preprint

An Algebra of Transformers

Hexiao Kang, Zhiyan Wang, Yong Wang
preprint en

Abstract

On the theoretic analyses on transforms, they mainly focus on the computability analysis, such the Turing-completeness of unbounded precision transformers, the advantage of parallelizability of unbounded precision transformers and the limitations of bounded precision transformers. This paper give transformers an algebra for reasoning, which relies heavily on the functional decomposition results of transformers. This algebra uses functional decompositions as atomic actions, includes sequential composition and parallel composition, recursion for feedback and abstraction for hidden layers. As we know, it is the first attempt to model transformers logically and can be used to verify the correctness of transformer based applications.

arXiv (Cornell University)
Logic, programming, and type systems
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An Algebra of Transformers — Hexiao Kang, Zhiyan Wang, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS