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We study, by means of the periodic unfolding technique, the homogenization of a modified bidomain model, which describes the propagation of the action potential in the cardiac electrophysiology. Such a model, allowing the presence of…

Analysis of PDEs · Mathematics 2021-01-25 Micol Amar , Daniele Andreucci , Claudia Timofte

We introduce non-Hermitian plasmonic waveguide-cavity structures based on the Aubry-Andre-Harper model to realize switching between right and left topological edge states (TESs) using the phase-change material Ge$_2$Sb$_2$Te$_5$ (GST). We…

Optics · Physics 2022-12-07 Yin Huang , Yuecheng Shen , Georgios Veronis

Using the supersymmetry technique, we study the localization-delocalization transition in quasi-one-dimensional non-Hermitian systems with a direction. In contrast to chains, our model captures the diffusive character of carriers' motion at…

Disordered Systems and Neural Networks · Physics 2009-10-31 A. V. Kolesnikov , K. B. Efetov

The sole purpose of this note is to introduce some elementary results on the structure and functoriality of Reedy model categories. In particular, I give a very useful little criterion to determine whether composition with a morphism of…

Algebraic Topology · Mathematics 2007-08-22 Clark Barwick

We consider a one-dimensional model of a two-component Bose-Einstein condensate in the presence of periodic external potentials of opposite signs, acting on the two species. The interaction between the species is attractive, while…

Pattern Formation and Solitons · Physics 2009-11-13 Z. Shi , K. J. H. Law P. G. Kevrekidis , B. A. Malomed

Inspired by recent work on the categorical semantics of dependent type theories, we investigate the following question: When is logical structure (crucially, dependent-product and subobject-classifier structure) induced from a category to…

Category Theory · Mathematics 2024-10-16 Marcelo Fiore , Chris Kapulkin , Yufeng Li

We study the onset of the bootstrap percolation transition as a model of generalized dynamical arrest. We develop a new importance-sampling procedure in simulation, based on rare events around "holes", that enables us to access bootstrap…

Statistical Mechanics · Physics 2009-11-10 Paolo De Gregorio , Aonghus Lawlor , Phil Bradley , Kenneth A. Dawson

It is shown that the mean-field description of a boson-fermion mixture with a dominating fermionic component, loaded in a one-dimensional optical lattice, is reduced to the nonlinear Schr\"{o}dinger equation with a periodic potential and…

Other Condensed Matter · Physics 2007-05-23 Yu. V. Bludov , V. V. Konotop

It is shown that inhomogeneous nonlinear interactions in a Bose-Einstein condensate loaded in an optical lattice can result in delocalizing transition in one dimension, what sharply contrasts to the known behavior of discrete and periodic…

Other Condensed Matter · Physics 2007-08-20 Yu. V. Bludov , V. A. Brazhnyi , V. V. Konotop

Epistasis is a key concept in the theory of adaptation. Indicators of epistasis are of interest for large system where systematic fitness measurements may not be possible. Some recent approaches depend on information theory. We show that…

Populations and Evolution · Quantitative Biology 2015-03-04 Kristina Crona

A mechanism for the localization of spatially periodic, self-organized patterns in anisotropic media which requires systems extended in all three spatial dimensions is presented: When the anisotropy axis is twisted the pattern becomes…

Pattern Formation and Solitons · Physics 2009-10-31 A. G. Rossberg

Non-stationary sequences arise naturally in control, forecasting, and decision-making. The data-generating process shifts at unknown times, and models must detect the change, discard or downweight obsolete evidence, and adapt to new…

Machine Learning · Computer Science 2026-04-21 Carson Dudley , Yutong Bi , Xiaofeng Liu , Samet Oymak

If the structure of spacetime is discrete, then Lorentz symmetry should only be an approximation, valid at long length scales. At finite lattice spacings there will be small corrections to the Dirac evolution that could in principle be…

Quantum Physics · Physics 2019-01-16 Todd A. Brun , Leonard Mlodinow

While previous distribution shift detection approaches can identify if a shift has occurred, these approaches cannot localize which specific features have caused a distribution shift -- a critical step in diagnosing or fixing any underlying…

Machine Learning · Computer Science 2021-07-16 Sean Kulinski , Saurabh Bagchi , David I. Inouye

We define and study structural properties of hypergraphs of models of a theory including lattice ones. Characterizations for the lattice properties of hypergraphs of models of a theory, as well as for structures on sets of isomorphism types…

Logic · Mathematics 2018-02-28 Beibut Kulpeshov , Sergey Sudoplatov

The homotopy theory of representations of nets of algebras over a (small) category with values in a closed symmetric monoidal model category is developed. We illustrate how each morphism of nets of algebras determines a change-of-net…

Mathematical Physics · Physics 2023-03-23 Angelos Anastopoulos , Marco Benini

In this paper we introduce and study the poset of equivalence classes of subgroups of a finite group $G$, induced by the isomorphism relation. This contains the well-known lattice of solitary subgroups of $G$. We prove that in several…

Group Theory · Mathematics 2015-02-18 Marius Tarnauceanu

We investigate linear and additive codes in partially ordered Hamming-like spaces that satisfy the extension property, meaning that automorphisms of ideals extend to automorphisms of the poset. The codes are naturally described in terms of…

Information Theory · Computer Science 2013-12-18 Alexander Barg , Luciano V. Felix , Marcelo Firer , Marcos V. P. Spreafico

We investigate the localization properties of a one-dimensional bichromatic optical lattice in the tight binding regime, by discussing how exponentially localized states emerge upon changing the degree of commensurability. We also review…

Other Condensed Matter · Physics 2015-02-26 Michele Modugno

Learning to transfer considers learning solutions to tasks in a such way that relevant knowledge can be transferred from known task solutions to new, related tasks. This is important for general learning, as well as for improving the…

Machine Learning · Computer Science 2021-07-23 Janith Petangoda , Marc Peter Deisenroth , Nicholas A. M. Monk