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  日本語

What I have studied mainly belongs to statistical and mathematical physics. I use (and sometimes propose) mathematical models that contain the essence of complicated physical phenomena and analyze such models by statistical mechanical methods, analytically and numerically. I am planning to continue this direction in the future.

The following are some of my current interests. 


Localization, Resonance, and non-Hermitian quantum mechanics

Although Hamiltonians in quantum mechanics are Hermitian, mathematical models for a certain kind of physical systems are given by non-Hermitian Hamiltonian; for example, magnetic flux lines in type-II superconductors, Dirac Fermions in random magnetic fields, QCD with broken chiral symmetry, and population biology. Unfortunately, however, generalization of quantum mechanics with non-Hermitian Hamiltonians have been hardly studied. Recently, I have proposed a large class of non-Hermitian models and explored physical relevance of its complex eigenvalues and complex currents. I have found that the models are relevant to the studies of the Anderson localization as well as the resonant conduction in mesoscopic systems. The topics include the following.

Non-Abelian gauge field thoery of the spin-orbit interaction and the perfect spin filter

The spin-orbit interaction in the two-dimensional electron gas is of great interest because we may manupulate electron spins with electric fields and may generate electric currents with magnetic fields. We are interested in the spin-orbit interactionin quantum wires.

In particular, we recently pointed out that the spin-orbit interaction is treated with the standard non-Abelian gauge field theory (the Yang-Mills theory). On the basis of the understanding, we succeeded to find the structure of a perfect spin filter. The perfect spin filter is an interference circuit of quantum wires such that upon injecting electrons with mixed spins, only downward spins come out. Our spin filter is perfect over the entire energy range of injected electrons.

References
N. Hatano, R. Shirasaki and H. Nakamura, Phys. Rev. A 75 (2007) 032107.
N. Hatano, R. Shirasaki and H. Nakamura, Solid State Commun 141 (2007) 79--83.

Mathematical models for environmental science with fractal structures

There are many fractal phenomena in the environment around us. In many studies in the field of environmental sciencesl, however, fractal effects are rarely taken into account. Since many previous studies carry out numerical simulations with only simple linear processes, the results fail to predict long-term environmental changes.

We have developed a mathematical model of abnormal wind diffusion of environemental pollutants, taking account of fractal fluctuations of the wind velocity. An analitic solution of the model fit remarkably well data of radioactive dusts around Chernobyl over ten years and data of ozone concentration in the Arctic. We also developed a model of abnormal diffution of soil pollutants, taking into account the fractality of adsorption of rocks. The solution reproduced experimental data well.

These studies suggest that the fractality of the natural environment is essential in predicting long-term and large-scale changes. I would like to develop fundamental mathematical models with such effects and thereby contribute to predicting pollution and green-house effect.

References
Y. Hatano and N. Hatano, Water Resources Research 34 (1998) 1027--1033.
Y. Hatano, N. Hatano, H. Amano, T. Ueno, A.K. Sukhoruchkin, and S.V. Kazakov, Atmospheric Environment 32 (1998) 2587--2594.
Y. Hatano and N. Hatano, Z. Geomorpho. N.F., Suupl.-Bd. 116 (1999) 45--58.



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