English
Related papers

Related papers: The transfer matrix: a geometrical perspective

200 papers

We analyze a ultracold fermionic atom system in a three dimensional optical lattice with a confinement harmonic potential, using the Hubbard model, and time-dependent Gutzwiller variational approach for numerical calculation. Our study is…

Quantum Gases · Physics 2014-02-06 Motoyoshi Inoue , Yusuke Nakamura , Yoshiya yamanaka

In symmetric cryptography, maximum distance separable (MDS) matrices with computationally simple inverses have wide applications. Many block ciphers like AES, SQUARE, SHARK, and hash functions like PHOTON use an MDS matrix in the diffusion…

Cryptography and Security · Computer Science 2025-01-03 Tapas Chatterjee , Ayantika Laha

Canonical subluminal Lorentz boosts have a clear geometric interpretation. They can be neatly expressed as hyperbolic rotations, that leave both the family of $2$-sheet hyperboloids within the light cone, and the family $1$-sheet…

General Relativity and Quantum Cosmology · Physics 2025-02-05 Matthew J. Lake

A transfer is a group homomorphism from a finite group to an abelian quotient group of a subgroup of the group. In this paper, we explain some of the properties of transfers by using noncommutative determinants. These properties enable us…

Group Theory · Mathematics 2023-03-03 Naoya Yamaguchi

It is well-known that subspace migration is stable and effective non-iterative imaging technique in inverse scattering problem. But, for a proper application, geometric features of unknown targets must be considered beforehand. Without this…

Numerical Analysis · Mathematics 2016-01-11 Won-Kwang Park

We study a quantum-mechanical system of three particles in a one-dimensional box with two-particle harmonic interactions. The symmetry of the system is described by the point group $D_{3d}$. Group theory greatly facilitates the application…

Mathematical Physics · Physics 2015-04-09 Paolo Amore , Francisco M. Fernández

The transfer matrix method is used to analyze resonances in Randall-Sundrum models. Although it has successfully been used previously by us we provide here a comparison between the numerical and analytical models. To reach this we first…

High Energy Physics - Theory · Physics 2013-01-14 G. Alencar , R. R. Landim , M. O. Tahim , R. N. Costa Filho

We analyze one-dimensional photonic superlattices which alternate layers of air and a left-handed material. We assume Drude-type dispersive responses for the dielectric permittivity and magnetic permeability of the left-handed material.…

Other Condensed Matter · Physics 2015-05-13 E. Reyes-Gomez , A. Bruno-Alfonso , S. B. Cavalcanti , C. A. A. de Carvalho , L. E. Oliveira

Decomposing a deep neural network's learned representations into interpretable features could greatly enhance its safety and reliability. To better understand features, we adopt a geometric perspective, viewing them as a learned coordinate…

Machine Learning · Computer Science 2025-04-30 Aryeh Brill

Interfacial roughness is prevalent in 1D photonic crystals and other layered structures, but is not generally accounted for in their design nor the analysis of their optical properties due to a lack of simple theoretical approaches. We…

We study aperiodic systems based on substitution rules by means of a transfer-matrix approach. In addition to the well-known trace map, we investigate the so-called `antitrace' map, which is the corresponding map for the difference of the…

Disordered Systems and Neural Networks · Physics 2007-05-23 Xiaoguang Wang , Uwe Grimm , Michael Schreiber

An overview of the mathematical structure of the three-dimensional (3D) Ising model is given, from the viewpoints of topologic, algebraic and geometric aspects. By analyzing the relations among transfer matrices of the 3D Ising model,…

General Physics · Physics 2013-05-15 Zhi-dong Zhang

We develop a transitional geometry, that is, a family of geometries of constant curvatures which makes a continuous connec-tion between the hyperbolic, Euclidean and spherical geometries. In this transitional setting, several geometric…

Geometric Topology · Mathematics 2014-11-24 Athanase Papadopoulos , Norbert A'Campo

The centralizer algebra of a matrix consists of those matrices that commute with it. We investigate the basic representation-theoretic invariants of centralizer algebras, namely their radicals, projective indecomposable modules, injective…

Rings and Algebras · Mathematics 2010-12-22 Umesh V. Dubey , Amritanshu Prasad , Pooja Singla

We initiate the combinatorial study of factorization systems on finite lattices, paying special attention to the role that reflective and coreflective factorization systems play in partitioning the poset of factorization systems on a fixed…

Combinatorics · Mathematics 2025-04-01 Jishnu Bose , Tien Chih , Hannah Housden , Legrand Jones , Chloe Lewis , Kyle Ormsby , Millie Rose

Transfer matrix techniques are used to provide a new proof of Widom's results on the asymptotic spectral theory of finite block Toeplitz matrices. Furthermore, a rigorous treatment of the skin effect, spectral outliers, the generalized…

Mathematical Physics · Physics 2024-10-08 Lars Koekenbier , Hermann Schulz-Baldes

Matrix models have wide applications in nuclear theory, condensed matter theory and quantum field theory. I discuss supersymmetric extensions of matrix models and their applications to branched polymers, the meander problem, and…

High Energy Physics - Theory · Physics 2007-05-23 Yu. Makeenko

Transfer systems on finite posets have recently been gaining traction as a key ingredient in equivariant homotopy theory. Additionally, they also naturally occur in the data of a model structure. We give a complete characterization of all…

We derive the off-shell scattering matrix for a spherical scatterer. The result obtained generalizes the off-on-shell matrix commonly used in the theory of scalar waves propagation in random media.

Condensed Matter · Physics 2007-05-23 V. S. Podolsky , A. A. Lisyansky

The scattering transform is a multilayered, wavelet-based transform initially introduced as a model of convolutional neural networks (CNNs) that has played a foundational role in our understanding of these networks' stability and invariance…