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This paper is concerned with the question of reconstructing a vector in a finite-dimensional real Hilbert space when only the magnitudes of the coefficients of the vector under a redundant linear map are known. We analyze various Lipschitz…

Functional Analysis · Mathematics 2013-08-23 Radu Balan , Yang Wang

Different types of reasoning impose different structural demands on representational systems, yet no systematic account of these demands exists across psychology, AI, and philosophy of mind. I propose a framework identifying four structural…

Artificial Intelligence · Computer Science 2026-04-03 Yiling Wu

The vacuum structure is probed by boundary conditions. The behaviour of thermodynamical quantities like free energy, boundary entropy and entanglement entropy under the boundary renormalization group flow are analysed in 2D conformal field…

High Energy Physics - Theory · Physics 2008-11-26 M. Asorey , J. M. Munoz-Castaneda

Motivated by quantum gravity and the CFT Distance Conjecture, we study infinite-distance limits in four-dimensional ${\cal N}=2$ superconformal field theories with higher-dimensional conformal manifolds and their AdS duals. We focus on…

High Energy Physics - Theory · Physics 2026-03-04 Fabio Mantegazza , Enrico Marchetto , Elli Pomoni , Torben Skrzypek , Timo Weigand

The {\em reticulation} of an algebra $A$ is a bounded distributive lattice whose prime spectrum of ideals (or filters), endowed with the Stone topology, is homeomorphic to the prime spectrum of congruences of $A$, with its own Stone…

Rings and Algebras · Mathematics 2019-11-20 George Georgescu , Leonard Kwuida , Claudia Mureşan

We study symmetry-enriched topological (SET) phases in 2+1 space-time dimensions with spatial reflection and/or time-reversal symmetries. We provide a systematic construction of a wide class of reflection and time-reversal SET phases in…

Strongly Correlated Electrons · Physics 2023-07-18 Maissam Barkeshli , Parsa Bonderson , Chao-Ming Jian , Meng Cheng , Kevin Walker

Symmetry protected topological (SPT) phases are gapped phases of matter that cannot be deformed to a trivial phase without breaking the symmetry or closing the bulk gap. Here, we introduce a new notion of a topological obstruction that is…

Mesoscale and Nanoscale Physics · Physics 2021-03-24 Eslam Khalaf , Wladimir A. Benalcazar , Taylor L. Hughes , Raquel Queiroz

A novel algebraic topology approach to supersymmetry (SUSY) and symmetry breaking in quantum field and quantum gravity theories is presented with a view to developing a wide range of physical applications. These include: controlled nuclear…

High Energy Physics - Theory · Physics 2009-06-19 Ion C. Baianu , James F. Glazebrook , Ronald Brown

We investigate the nature of the AdS/CFT duality between a subregion of the bulk and its boundary. In global AdS/CFT in the classical G_N=0 limit, the duality reduces to a boundary value problem that can be solved by restricting to…

High Energy Physics - Theory · Physics 2013-12-18 Raphael Bousso , Ben Freivogel , Stefan Leichenauer , Vladimir Rosenhaus , Claire Zukowski

We review boundary rigidity theorems assessing that, under appropriate conditions, Riemannian manifolds with the same spectrum of boundary geodesics are isometric. We show how to apply these theorems to the problem of reconstructing a $d+1$…

High Energy Physics - Theory · Physics 2009-11-10 M. Porrati , R. Rabadan

Discovering and categorizing quantum orders in mixed many-body systems are currently one of the most important problems. Target model in this study is an extended version of the cluster model in one dimension with $Z_2\otimes Z_2$ symmetry,…

Quantum Physics · Physics 2025-05-02 Yoshihito Kuno , Takahiro Orito , Ikuo Ichinose

We have theoretically studied the stability and reconstruction of (111) surfaces of Au, Pt, and Cu. We have calculated the surface energy, surface stress, interatomic force constants, and other relevant quantities by ab initio electronic…

Condensed Matter · Physics 2009-11-10 Z. Crljen , P. Lazic , D. Sokcevic , R. Brako

Alpay Algebra is introduced as a universal, category-theoretic framework that unifies classical algebraic structures with modern needs in symbolic recursion and explainable AI. Starting from a minimal list of axioms, we model each algebra…

General Mathematics · Mathematics 2025-05-29 Faruk Alpay

We initiate the representation theory of the degenerate affine periplectic Brauer algebra on $n$ strands by constructing its finite-dimensional calibrated representations when $n=2$. We show that any such representation that is…

Representation Theory · Mathematics 2019-05-14 Zajj Daugherty , Iva Halacheva , Mee Seong Im , Emily Norton

We investigate the physics of one-dimensional symmetry protected topological (SPT) phases protected by symmetries whose symmetry generators exhibit spatial modulation. We focus in particular on phases protected by symmetries with linear…

Strongly Correlated Electrons · Physics 2023-09-20 Jung Hoon Han , Ethan Lake , Ho Tat Lam , Ruben Verresen , Yizhi You

We analyze the algebra of boundary observables in canonically quantised JT gravity with or without matter. In the absence of matter, this algebra is commutative, generated by the ADM Hamiltonian. After coupling to a bulk quantum field…

High Energy Physics - Theory · Physics 2023-07-20 Geoff Penington , Edward Witten

Various structural properties of the space of symmetry breaking boundary conditions that preserve an orbifold subalgebra are established. To each such boundary condition we associate its automorphism type. It is shown that correlation…

High Energy Physics - Theory · Physics 2009-10-31 J. Fuchs , C. Schweigert

According to conventional wisdom electric double-layer forces normally decay exponentially with separation distance. Here we present experimental evidence of algebraically decaying double-layer interactions. We show that algebraic…

Soft Condensed Matter · Physics 2020-01-01 Biljana Stojimirovic , Mark Vis , Remco Tuinier , Albert P. Philipse , Gregor Trefalt

We develop a theoretical analysis for special neural network architectures, termed operator recurrent neural networks, for approximating nonlinear functions whose inputs are linear operators. Such functions commonly arise in solution…

Optimization and Control · Mathematics 2022-01-05 Maarten V. de Hoop , Matti Lassas , Christopher A. Wong

We discuss methods for visualizing neural network decision boundaries and decision regions. We use these visualizations to investigate issues related to reproducibility and generalization in neural network training. We observe that changes…