Post-Lie deformations of pre-Lie algebras and their applications in Regularity Structures

In this paper, we study post-Lie deformations of a pre-Lie algebra, namely deforming a pre-Lie algebra into a post-Lie algebra. We construct the differential graded Lie algebra that governs post-Lie deformations of a pre-Lie algebra. We also develop the post-Lie cohomology theory for a pre-Lie algebra, by which we classify infinitesimal post-Lie deformations of a pre-Lie algebra using the second cohomology group. The rigidity of such kind of deformations is also characterized using the second cohomology group. Finally, we apply this deformation theory to Regularity Structures. We prove that the post-Lie algebraic structure on the decorated trees which appears spontaneously in Regularity Structures is a post-Lie deformation of a pre-Lie algebra.

Publication Details

Journal
ArXiv.org
Published
2025-05-01
Primary Topic
Probability and Statistical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Post-Lie deformations of pre-Lie algebras and their applications in Regularity Structures

ArXiv.org
Probability and Statistical Research
article

Post-Lie deformations of pre-Lie algebras and their applications in Regularity Structures

article en

Abstract

In this paper, we study post-Lie deformations of a pre-Lie algebra, namely deforming a pre-Lie algebra into a post-Lie algebra. We construct the differential graded Lie algebra that governs post-Lie deformations of a pre-Lie algebra. We also develop the post-Lie cohomology theory for a pre-Lie algebra, by which we classify infinitesimal post-Lie deformations of a pre-Lie algebra using the second cohomology group. The rigidity of such kind of deformations is also characterized using the second cohomology group. Finally, we apply this deformation theory to Regularity Structures. We prove that the post-Lie algebraic structure on the decorated trees which appears spontaneously in Regularity Structures is a post-Lie deformation of a pre-Lie algebra.

ArXiv.org
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 45%
Probability and Statistical Research
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