activity
20022022
most citedHierarchical structures of amorphous solids characterized by persistent homology

419 citations · 802 across the 23 of their papers we have counts for

collaborators

23 papers

math.PR2022

Large deviation principle for persistence diagrams of random cubical filtrations

Yasuaki Hiraoka, Shu Kanazawa, Jun Miyanaga +1

The objective of this article is to investigate the asymptotic behavior of the persistence diagrams of a random cubical filtration as the window size tends to infinity. Here, a ran…

math.AT2021★ 146 cited

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

Ippei Obayashi, Takenobu Nakamura, Yasuaki Hiraoka

This paper introduces persistent homology, which is a powerful tool to characterize the shape of data using the mathematical concept of topology. We explain the fundamental idea of…

math.AT2021★ 2 cited

Girth, magnitude homology, and phase transition of diagonality

Yasuhiko Asao, Yasuaki Hiraoka, Shu Kanazawa

This paper studies the magnitude homology of graphs focusing mainly on the relationship between its diagonality and the girth. Magnitude and magnitude homology are formulations of…

math.RT2020

Algebraic stability theorem for derived categories of zigzag persistence modules

Yasuaki Hiraoka, Yuichi Ike, Michio Yoshiwaki

We study distances on zigzag persistence modules from the viewpoint of derived categories and Auslander--Reiten quivers. The derived category of ordinary persistence modules is der…

math.CO2020

Zeta functions of periodic cubical lattices and cyclotomic-like polynomials

Yasuaki Hiraoka, Hiroyuki Ochiai, Tomoyuki Shirai

Zeta functions of periodic cubical lattices are explicitly derived by computing all the eigenvalues of the adjacency operators and their characteristic polynomials. We introduce cy…

econ.EM2019

Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics

Emerson G. Escolar, Yasuaki Hiraoka, Mitsuru Igami +1

Where do firms innovate? Mapping their locations and directions in technological space is challenging due to its high dimensionality. We propose a new method to characterize firms'…