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In H. Xu et al. [Phys. Rev. Lett. 110, 064102 (2013)PRLTAO0031-900710.1103/PhysRevLett.110.064102], a numerical method is introduced-an extension of the conformal-map method of Robnik [J. Phys. A 17, 1049 (1984)JPHAC50305-447010.1088/0305-4470/17/5/027] for nonrelativistic quantum billiards-for the quantization of relativistic neutrino billiards consisting of a massless noninteracting spin-1/2 particle confined to a two-dimensional domain. We demonstrate in this Letter that this method does not provide solutions of the associated Weyl (Dirac) equation, nor does it fulfill the boundary conditions imposed on the spinor eigenfunctions to ensure confinement of the particle to the domain of the billiard. We review in detail the wave equation, boundary conditions, and quantization of neutrino billiards and derivation of relevant equations to make the proof comprehensible for the general reader. Our results are corroborated with numerical ones for nonrelativistic and relativistic quantum billiards whose shapes depend on a parameter, which allows the study of the properties of their eigenstates as the classical dynamics experiences a transition from regular to chaotic dynamics.
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http://dx.doi.org/10.1103/vj94-kc98 | DOI Listing |
Phys Rev Lett
July 2025
Korea University of Science and Technology (UST), Institute for Basic Science (IBS), Center for Theoretical Physics of Complex Systems, Daejeon 34126, Republic of Korea and Basic Science Program, Daejeon 34113, Republic of Korea.
In H. Xu et al. [Phys.
View Article and Find Full Text PDFPhys Rev Lett
April 2025
Fudan University, Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Shanghai 200438, China.
Strong coupling between vacuum fields and quantum matter occurs at the nanoscale and broadens the horizon of light-matter interaction. Nanoscale Casimir force, as an exhibition of vacuum fields, inevitably experiences the influence of surface electron responses due to their quantum character, which are ignorable in micron Casimir force. Here, we develop a three-dimensional conformal map method to tackle typical experimental configurations with surface electron contributions to Casimir force purposely and delicately included.
View Article and Find Full Text PDFJ Theor Biol
November 2023
Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Japan. Electronic address:
The three-dimensional (3D) morphologies of many organs in organisms, such as the curved shapes of leaves and flowers, the branching structure of lungs, and the exoskeletal shape of insects, are formed through surface growth. Although differential growth, a mode of surface growth, has been qualitatively identified as 3D morphogenesis, a quantitative understanding of the mechanical contribution of differential growth is lacking. To address this, we developed a quantitative inference method to analyze the distribution of the area expansion rate, which governs the growth of surfaces into 3D morphology.
View Article and Find Full Text PDFInverse Probl
December 2020
Department of Mathematics and School of Biomedical Engineering, Colorado State University, USA.
A direct reconstruction algorithm based on Calderón's linearization method for the reconstruction of isotropic conductivities is proposed for anisotropic conductivities in two-dimensions. To overcome the non-uniqueness of the anisotropic inverse conductivity problem, the entries of the unperturbed anisotropic tensors are assumed known , and it remains to reconstruct the multiplicative scalar field. The quasi-conformal map in the plane facilitates the Calderón-based approach for anisotropic conductivities.
View Article and Find Full Text PDFProc Math Phys Eng Sci
October 2020
Department of Mathematics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.
In this work, we develop a framework for shape analysis using inconsistent surface mapping. Traditional landmark-based geometric morphometr- ics methods suffer from the limited degrees of freedom, while most of the more advanced non-rigid surface mapping methods rely on a strong assumption of the global consistency of two surfaces. From a practical point of view, given two anatomical surfaces with prominent feature landmarks, it is more desirable to have a method that automatically detects the most relevant parts of the two surfaces and finds the optimal landmark-matching alignment between these parts, without assuming any global 1-1 correspondence between the two surfaces.
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