Department of Mathematics

Topological Data Analysis

  •  Jiahui Chen, MSU
  •  Evolutionary de Rham-Hodge method
  •  03/29/2021
  •  2:00 PM - 3:00 PM
  •  Online (virtual meeting)
  •  Shelley Kandola (kandola2@msu.edu)

The de Rham-Hodge theory is a landmark of the 20 th Century’s mathematics and has had a great impact on mathematics, physics, computer science, and engineering. This work introduces an evolutionary de Rham-Hodge method to provide a unified paradigm for the multiscale geometric and topological analysis of evolving manifolds constructed from a filtration, which induces a family of evolutionary de Rham complexes. While the present method can be easily applied to close manifolds, the emphasis is given to more challenging compact manifolds with 2-manifold boundaries, which require appropriate analysis and treatment of boundary conditions on differential forms to maintain proper topological properties. Three sets of unique evolutionary Hodge Laplacians are proposed to generate three sets of topology-preserving singular spectra, for which the multiplicities of zero eigenvalues correspond to exactly the persistent Betti numbers of dimensions 0, 1, and 2. Additionally, three sets of non-zero eigenvalues further reveal both topological persistence and geometric progression during the manifold evolution. Extensive numerical experiments are carried out via the discrete exterior calculus to demonstrate the potential of the proposed paradigm for data representation and shape analysis. To demonstrate the utility of the proposed method, the application is considered to the protein B-factor predictions of a few challenging cases for which other existing models do not work well.

 

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