Symmetry Lie Algebras of Varieties with Applications to Algebraic Statistics

Fuente: arXiv
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Auteurs principaux: Maraj, Aida, Pal, Arpan
Format: Preprint
Publié: 2023
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author Maraj, Aida
Pal, Arpan
author_facet Maraj, Aida
Pal, Arpan
contents The motivation for this paper is to detect when an irreducible projective variety V is not toric. We do this by analyzing a Lie group and a Lie algebra associated to V. If the dimension of V is strictly less than the dimension of the above mentioned objects, then V is not a toric variety. We provide an algorithm to compute the Lie algebra of an irreducible variety and use it to provide examples of non-toric statistical models in algebraic statistics.
format Preprint
id arxiv_https___arxiv_org_abs_2309_10741
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Symmetry Lie Algebras of Varieties with Applications to Algebraic Statistics
Maraj, Aida
Pal, Arpan
Algebraic Geometry
Statistics Theory
62R01, 17B45, 14Q20, 14-04
The motivation for this paper is to detect when an irreducible projective variety V is not toric. We do this by analyzing a Lie group and a Lie algebra associated to V. If the dimension of V is strictly less than the dimension of the above mentioned objects, then V is not a toric variety. We provide an algorithm to compute the Lie algebra of an irreducible variety and use it to provide examples of non-toric statistical models in algebraic statistics.
title Symmetry Lie Algebras of Varieties with Applications to Algebraic Statistics
topic Algebraic Geometry
Statistics Theory
62R01, 17B45, 14Q20, 14-04
url https://arxiv.org/abs/2309.10741