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JOURNALS // Algebra and Discrete Mathematics // Archive

Algebra Discrete Math., 2018 Volume 25, Issue 2, Pages 311–321 (Mi adm662)

This article is cited in 1 paper

RESEARCH ARTICLE

A random Bockstein operator

Matthew Zabka

Department of Mathematics and Computer Science, SM 178, Southwest Minnesota State University, 1501 State Street, Marshall, MN 56258, USA

Abstract: As more of topology's tools become popular in analyzing high-dimensional data sets, the goal of understanding the underlying probabilistic properties of these tools becomes even more important. While much attention has been given to understanding the probabilistic properties of methods that use homological groups in topological data analysis, the probabilistic properties of methods that employ cohomology operations remain unstudied. In this paper, we investigate the Bockstein operator with randomness in a strictly algebraic setting.

Keywords: random cohomology operations, topological data analysis, Bockstein operation.

MSC: 08C99, 55N99

Received: 25.05.2016
Revised: 24.06.2017

Language: English



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