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We discuss the transition from a metal to charge or spin insulating phases characterized by the opening of a gap in the charge or spin excitation spectra, respectively. These transitions are addressed within the context of two exactly…

Condensed Matter · Physics 2009-10-22 F. Gebhard , A. Girndt , A. E. Ruckenstein

Conjectures for analytical expressions for correlations in the dense O$(1)$ loop model on semi infinite square lattices are given. We have obtained these results for four types of boundary conditions. Periodic and reflecting boundary…

Statistical Mechanics · Physics 2009-11-10 S. Mitra , B. Nienhuis , J. de Gier , M. T. Batchelor

We show that boundary contributions of BCFW recursions can be interpreted as the form factors of some composite operators which we call 'boundary operators'. The boundary operators can be extracted from the operator product expansion of…

High Energy Physics - Theory · Physics 2016-05-25 Qingjun Jin , Bo Feng

A systematic method to construct the complete set of conserved quantities of the Haldane-Shastry type spin chains is proposed. The hidden relationship between the Yang-Baxter relation and the conservation laws of the long-range interacting…

Strongly Correlated Electrons · Physics 2008-12-01 Junpeng Cao , Peng He , Yuzhu Jiang , Yupeng Wang

Some special solutions to the reflection equation are considered. These boundary matrices are defined on the common quantum space with the other operators in the chain. The relations with the Drinfeld twist are discussed.

solv-int · Physics 2009-10-31 Andrey Tsiganov

The Motzkin spin chain is a spin-1 model introduced in \cite{shor} as an example of a system exhibiting a high degree of quantum fluctuations whose ground state can be mapped to Motzkin paths that are generated with local equivalence moves.…

Quantum Physics · Physics 2018-09-05 Olof Salberger , Pramod Padmanabhan , Vladimir Korepin

The long-range, spin-dependent forces between D0-branes are related to long-range fundamental string interactions using duality. These interactions can then be computed by taking the long distance non-relativistic expansion of string…

High Energy Physics - Theory · Physics 2009-10-30 Jeffrey A. Harvey

Rough set theory is an important mathematical tool for dealing with uncertain or vague information. This paper studies some new topologies induced by a binary relation on universe with respect to neighborhood opera- tors. Moreover, the…

General Mathematics · Mathematics 2014-05-22 Nurettin Bagirmaz , A. Fatih Ozcan Hatice Tasbozan , Ilhan Icen

Reversible logic is experience renewed interest as we are approach the limits of CMOS technologies. While physical implementations of reversible gates have yet to materialize, it is safe to assume that they will rely on faulty individual…

Hardware Architecture · Computer Science 2008-12-22 Nuno Alves

We generalize the number theoretic spin chain, a one-dimensional statistical model based on the Farey fractions, by introducing a new parameter x>=0. This allows us to write recursion relations in the length of the chain. These relations…

Mathematical Physics · Physics 2007-06-22 Jan Fiala , Peter Kleban

Gating mechanisms are widely used in neural network models, where they allow gradients to backpropagate more easily through depth or time. However, their saturation property introduces problems of its own. For example, in recurrent models…

Neural and Evolutionary Computing · Computer Science 2020-06-22 Albert Gu , Caglar Gulcehre , Tom Le Paine , Matt Hoffman , Razvan Pascanu

Successful recurrent models such as long short-term memories (LSTMs) and gated recurrent units (GRUs) use ad hoc gating mechanisms. Empirically these models have been found to improve the learning of medium to long term temporal…

Machine Learning · Computer Science 2018-05-01 Corentin Tallec , Yann Ollivier

This paper presents the design concept, modeling and motion planning solution for the aerial robotic chain. This design represents a configurable robotic system of systems, consisting of multi-linked micro aerial vehicles that…

Robotics · Computer Science 2019-11-26 Mihir Kulkarni , Huan Nguyen , Kostas Alexis

It is shown that transient spin-spin correlations in one-dimensional spin S>>1 chain can be enhanced for initially factorized and individually squeezed spin states. Such correlation transfer form "internal" to "external" degrees of freedom…

Quantum Physics · Physics 2016-11-02 I. F. Valtierra , J. L. Romero , A. B. Klimov

General spin-1/2 chains with symmetric nearest-neighbor interaction are studied. We rigorously prove that all spin models in this class, except for known integrable systems, are non-integrable in the sense that they possess no nontrivial…

Statistical Mechanics · Physics 2024-11-05 Mizuki Yamaguchi , Yuuya Chiba , Naoto Shiraishi

Differential constraints compatible with the linearized equations of partial differential equations are examined. Recursion operators are obtained by integrating the differential constraints.

Analysis of PDEs · Mathematics 2015-06-26 Ahmet Satir

The partition function of the two-dimensional Ising model on a square lattice with nearest-neighbour interactions and periodic boundary conditions is investigated. Kaufman [Phys. Rev. 76, 1232--1243 (1949)] gave a solution for this function…

Statistical Mechanics · Physics 2007-05-23 Michael Kastner

We describe a simple nearest-neighbor Ising model that is capable of supporting a gas, liquid, crystal, in characteristic relationship to each other. As the parameters of the model are varied one obtains characteristic patterns of phase…

Statistical Mechanics · Physics 2009-11-10 Davide Cellai , Hector Cuevas , Aonghus Lawlor , Gavin D. McCullagh , Kenneth A. Dawson

We analyze correlations among stock returns via a series of widely adopted parameters which we refer to as explanatory variables. We subsequently exploit the results to propose a long only quantitative adaptive technique to construct a…

Statistical Finance · Quantitative Finance 2018-09-20 Ludovico Latmiral

We study Ising models for describing data and show that autoregressive methods may be used to learn their connections, also in the case of asymmetric connections and for multi-spin interactions. For each link the linear Granger causality is…

Neurons and Cognition · Quantitative Biology 2015-05-18 Mario Pellicoro , Sebastiano Stramaglia
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