Kei Irie
Kyoto University
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Publication
Featured researches published by Kei Irie.
Journal of the European Mathematical Society | 2014
Kei Irie
We prove the finiteness of the Hofer-Zehnder capacity of unit disk cotangent bundles of closed Riemannian manifolds, under some simple topological assumptions on the manifolds. The key ingredient of the proof is a computation of the pair-of-pants product on Floer homology of cotangent bundles. We reduce it to a simple computation of the loop product, making use of results of A.Abbondandolo- M.Schwarz.
Geomechanics and Geoengineering | 2012
Kei Irie; Tomofumi Koyama; Satoshi Nishiyama; Yuki Yasuda; Yuzo Ohnishi
Japan is located in Circum-Pacific earthquake zone, which is one of the most seismologically active areas in the world. As a result, landslides have occurred frequently and often cause serious damage not only to human lives but also to the various important structures such as national roads, railway, electric power plans etc. From the engineering point of view, to investigate the mechanism of landslide due to earthquakes and estimate the damage caused by landslides are important issues. In this study, as the first step, to check the validity of DDA simulation for the seismic problems, a series of shaking table tests were carried out in the laboratory and simulated by DDA. Then, one of the largest landslides occurred in Aratozawa Area, Miyagi, Japan in 2008 caused by Iwate-Miyagi Nairiku Earthquake was simulated using DDA and discussed the mechanisms of the landslide. The 2-D DDA model for one of the survey lines was created based on the geological survey, and physical properties were determined from the laboratory tests using rock/soil samples obtained from the landslide site. In this study, to discuss the mechanism of the landslide, a series of parametric study in terms of shear resistance along the fractures was conducted.
Discrete and Computational Geometry | 2010
Yohji Akama; Kei Irie; Akitoshi Kawamura; Yasutaka Uwano
Motivated by statistical learning theoretic treatment of principal component analysis, we are concerned with the set of points in ℝd that are within a certain distance from a k-dimensional affine subspace. We prove that the VC dimension of the class of such sets is within a constant factor of (k+1)(d−k+1), and then discuss the distribution of eigenvalues of a data covariance matrix by using our bounds of the VC dimensions and Vapnik’s statistical learning theory. In the course of the upper bound proof, we provide a simple proof of Warren’s bound of the number of sign sequences of real polynomials.
Geometric and Functional Analysis | 2016
Masayuki Asaoka; Kei Irie
We prove a
Osaka Journal of Mathematics | 2013
Kei Irie
Commentarii Mathematici Helvetici | 2015
Kei Irie
{C^\infty}
Mathematische Zeitschrift | 2014
Kei Irie
Biomaterials | 2011
Yuriko Higuchi; Can Wu; Kai-Ling Chang; Kei Irie; Shigeru Kawakami; Fumiyoshi Yamashita; Mitsuru Hashida
C∞ closing lemma for Hamiltonian diffeomorphisms of closed surfaces. This is a consequence of a
Annals of Mathematics | 2018
Kei Irie; Fernando C. Marques; André Neves
Journal of Modern Dynamics | 2015
Kei Irie
{C^\infty}