The Bonnet theorem for statistical manifolds
The Bonnet theorem for statistical manifolds
复制标题
统计流形的 Bonnet 定理
DOI:
10.1007/s41884-021-00056-4
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Taiji Marugame
中科院分区:
文献类型:
--
作者:
Masako Tamaki;Zhiyan Wang;Tyler Barnes-Diana;DeeAnn Guo;Aaron V. Berard;Edward Walsh;Takeo Watanabe;Yuka Sasaki.;Reiichiro Kawai;Liron Speyer;Masahiro Morimoto;Taiji Marugame
We prove the Bonnet theorem for statistical manifolds, which states that if a statistical manifold admits tensors satisfying the Gauss–Codazzi–Ricci equations, then it is locally embeddable to a flat statistical manifold (or a Hessian manifold). The proof is based on the notion of statistical embedding to the product of a vector space and its dual space introduced by Lauritzen. As another application of Lauritzen’s embedding, we show that a statistical manifold admitting an affine embedding of codimension 1 or 2 is locally embeddable to a flat statistical manifold of the same codimension.
影响因子:
0.5
作者:
H. Matsuzoe
通讯作者:
H. Matsuzoe
DOI:
10.1090/memo/1241
发表时间:
2015
期刊:
Memoirs of the American Mathematical
Society
影响因子:
--
作者:
Sean N. Curry;A. Gover
通讯作者:
A. Gover