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Prototypical quantum optics models, such as the Jaynes–Cummings, Rabi, Tavis–Cummings, and Dicke models, are commonly analyzed with diverse techniques, including analytical exact solutions, mean-field theory, exact diagonalization, and so on. Analysis of these systems strongly depends on their symmetries, ranging, e.g., from a U(1) group in the Jaynes–Cummings model to a Z2 symmetry in the full-fledged quantum Rabi model. In recent years, novel regimes of light–matter interactions, namely, the ultrastrong and deep-strong coupling regimes, have been attracting an increasing amount of interest. The quantum Rabi and Dicke models in these exotic regimes present new features, such as collapses and revivals of the population, bounces of photon-number wave packets, as well as the breakdown of the rotating-wave approximation. Symmetries also play an important role in these regimes and will additionally change depending on whether the few- or many-qubit systems considered have associated inhomogeneous or equal couplings to the bosonic mode. Moreover, there is a growing interest in proposing and carrying out quantum simulations of these models in quantum platforms such as trapped ions, superconducting circuits, and quantum photonics. In this Special Issue Reprint, we have gathered a series of articles related to symmetry in quantum optics models, including the quantum Rabi model and its symmetries, Floquet topological quantum states in optically driven semiconductors, the spin–boson model as a simulator of non-Markovian multiphoton Jaynes–Cummings models, parity-assisted generation of nonclassical states of light in circuit quantum electrodynamics, and quasiprobability distribution functions from fractional Fourier transforms.
microwave photons --- n/a --- circuit quantum electrodynamics --- fractional Fourier transform --- spin-boson model --- reconstruction of the wave function --- multiphoton processes --- quantum entanglement --- topological excitations --- Floquet --- light–matter interaction --- semiconductors --- quasiprobability distribution functions --- dynamical mean field theory --- global spectrum --- superconducting circuits --- Jaynes-Cummings model --- quantum Rabi model --- quantum simulation --- non-equilibrium --- stark-effect --- integrable systems --- light-matter interaction
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The work described in this book originates from a major effort to develop a fundamental theory of the glass and the jamming transitions. The first chapters guide the reader through the phenomenology of supercooled liquids and structural glasses and provide the tools to analyze the most frequently used models able to predict the complex behavior of such systems. A fundamental outcome is a detailed theoretical derivation of an effective thermodynamic potential, along with the study of anomalous vibrational properties of sphere systems. The interested reader can find in these pages a clear and deep analysis of mean-field models as well as the description of advanced beyond-mean-field perturbative expansions. To investigate important second-order phase transitions in lattice models, the last part of the book proposes an innovative theoretical approach, based on a multi-layer construction. The different methods developed in this thesis shed new light on important connections among constraint satisfaction problems, jamming and critical phenomena in complex systems, and lay part of the groundwork for a complete theory of amorphous solids.
Phase transformations (Statistical physics) --- Mean field theory. --- Phase Transitions and Multiphase Systems. --- Ceramics, Glass, Composites, Natural Materials. --- Low Temperature Physics. --- Phase transitions (Statistical physics). --- Ceramics. --- Glass. --- Composites (Materials). --- Composite materials. --- Low temperature physics. --- Low temperatures. --- Cryogenics --- Low temperature physics --- Temperatures, Low --- Temperature --- Cold --- Composites (Materials) --- Multiphase materials --- Reinforced solids --- Solids, Reinforced --- Two phase materials --- Materials --- Amorphous substances --- Ceramics --- Glazing --- Ceramic technology --- Industrial ceramics --- Keramics --- Building materials --- Chemistry, Technical --- Clay --- Phase changes (Statistical physics) --- Phase transitions (Statistical physics) --- Phase rule and equilibrium --- Statistical physics
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This book contains various works presented at the Dynamics Days Latin America and the Caribbean (DDays LAC) 2018. Since its beginnings, a key goal of the DDays LAC has been to promote cross-fertilization of ideas from different areas within nonlinear dynamics. On this occasion, the contributions range from experimental to theoretical research, including (but not limited to) chaos, control theory, synchronization, statistical physics, stochastic processes, complex systems and networks, nonlinear time-series analysis, computational methods, fluid dynamics, nonlinear waves, pattern formation, population dynamics, ecological modeling, neural dynamics, and systems biology. The interested reader will find this book to be a useful reference in identifying ground-breaking problems in Physics, Mathematics, Engineering, and Interdisciplinary Sciences, with innovative models and methods that provide insightful solutions. This book is a must-read for anyone looking for new developments of Applied Mathematics and Physics in connection with complex systems, synchronization, neural dynamics, fluid dynamics, ecological networks, and epidemics.
self-organization --- temporal aliasing effect --- point scatterer --- recurrence time --- calcium signals --- theta neuron --- synchrony --- neural network --- reaction fronts --- cyclic dynamics --- annular billiard --- convection --- local field potential --- complex systems --- Dicke model --- coupled oscillators --- diffusive instabilities --- Slater’s theorem --- stochastic processes --- nonlinear dynamics --- computational methods --- waves --- ecological methods --- sampling rates --- out of equilibrium system --- predator–prey system --- IP3Rs dsitribution --- birthday problem --- mean field models --- population dynamics --- puffs --- delay bifurcation --- epidemic models --- suppression of synchronization --- population biology --- Lyapunov exponent --- Markov processes --- synchronization
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This book covers the theory of electronic structure of materials, with special emphasis on the usage of linear muffin-tin orbitals. Methodological aspects are given in detail as are examples of the method when applied to various materials. Different exchange and correlation functionals are described and how they are implemented within the basis of linear muffin-tin orbitals. Functionals covered are the local spin density approximation, generalised gradient approximation, self-interaction correction and dynamical mean field theory.
Density functionals. --- Electronic structure. --- Electronics. --- Mean field theory. --- Physics --- Physical Sciences & Mathematics --- Atomic Physics --- Electronic structure --- Mathematical physics. --- Materials. --- Mathematical models. --- Engineering --- Engineering materials --- Industrial materials --- Physical mathematics --- Density functional methods --- Density functional theory --- Functional methods, Density --- Functionals, Density --- Structure, Electronic --- Materials --- Mathematics --- Physics. --- Condensed matter. --- Condensed Matter Physics. --- Mathematical Methods in Physics. --- Engineering design --- Manufacturing processes --- Functional analysis --- Atomic structure --- Energy-band theory of solids --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Condensed materials --- Condensed media --- Condensed phase --- Materials, Condensed --- Media, Condensed --- Phase, Condensed --- Liquids --- Matter --- Solids
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This is a new, completely revised, updated and enlarged edition of the author's Ergebnisse vol. 46: "Spin Glasses: A Challenge for Mathematicians" in two volumes (this is the 2nd volume). In the eighties, a group of theoretical physicists introduced several models for certain disordered systems, called "spin glasses". These models are simple and rather canonical random structures, of considerable interest for several branches of science (statistical physics, neural networks and computer science). The physicists studied them by non-rigorous methods and predicted spectacular behaviors. This book introduces in a rigorous manner this exciting new area to the mathematically minded reader. It requires no knowledge whatsoever of any physics. The present Volume II contains a considerable amount of new material, in particular all the fundamental low-temperature results obtained after the publication of the first edition.
Spin glasses --- Mean field theory --- Physics --- Mathematics --- Physical Sciences & Mathematics --- Atomic Physics --- Mathematical Statistics --- Mathematical models --- Mathematical models. --- Glasses, Magnetic --- Glasses, Spin --- Magnetic glasses --- Mathematics. --- Probabilities. --- Physics. --- Condensed matter. --- Probability Theory and Stochastic Processes. --- Mathematical Methods in Physics. --- Condensed Matter Physics. --- Magnetic alloys --- Nuclear spin --- Solid state physics --- Distribution (Probability theory. --- Mathematical physics. --- Physical mathematics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Condensed materials --- Condensed media --- Condensed phase --- Materials, Condensed --- Media, Condensed --- Phase, Condensed --- Liquids --- Matter --- Solids --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk
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This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original material and applications with explicit examples throughout, including numerical solutions. Volume II tackles the analysis of mean field games in which the players are affected by a common source of noise. The first part of the volume introduces and studies the concepts of weak and strong equilibria, and establishes general solvability results. The second part is devoted to the study of the master equation, a partial differential equation satisfied by the value function of the game over the space of probability measures. Existence of viscosity and classical solutions are proven and used to study asymptotics of games with finitely many players. Together, both Volume I and Volume II will greatly benefit mathematical graduate students and researchers interested in mean field games. The authors provide a detailed road map through the book allowing different access points for different readers and building up the level of technical detail. The accessible approach and overview will allow interested researchers in the applied sciences to obtain a clear overview of the state of the art in mean field games.
Mean field theory. --- Game theory. --- Mathematics. --- Partial differential equations. --- Calculus of variations. --- Probabilities. --- Economic theory. --- Probability Theory and Stochastic Processes. --- Calculus of Variations and Optimal Control; Optimization. --- Partial Differential Equations. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Many-body problem --- Statistical mechanics --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Distribution (Probability theory. --- Mathematical optimization. --- Differential equations, partial. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Partial differential equations --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Isoperimetrical problems --- Variations, Calculus of --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk
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Metastable Liquids provides a comprehensive treatment of the properties of liquids under conditions where the stable state is a vapor, a solid, or a liquid mixture of different composition. It examines the fundamental principles that govern the equilibrium properties, stability, relaxation mechanisms, and relaxation rates of metastable liquids. Building on the interplay of kinetics and thermodynamics that determines the thermophysical properties and structural relaxation of metastable liquids, it offers an in-depth treatment of thermodynamic stability theory, the statistical mechanics of metastability, nucleation, spinodal decomposition, supercooled liquids, and the glass transition. Both traditional topics--such as stability theory--and modern developments--including modern theories of nucleation and the properties of supercooled and glassy water--are treated in detail. An introductory chapter illustrates, with numerous examples, the importance and ubiquity of metastable liquids. Examples include the ascent of sap in plants, the strategies adopted by many living organisms to survive prolonged exposure to sub-freezing conditions, the behavior of proteins at low temperatures, metastability in mineral inclusions, ozone depletion, the preservation and storage of labile biochemicals, and the prevention of natural gas clathrate hydrate formation. All mathematical symbols are defined in the text and key equations are clearly explained. More complex mathematical explanations are available in the appendixes.
Liquids --- Supercooled liquids. --- Phase transformations (Statistical physics) --- Chemistry, Physical and theoretical. --- Thermal properties. --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Chemistry --- Phase changes (Statistical physics) --- Phase transitions (Statistical physics) --- Phase rule and equilibrium --- Statistical physics --- Supercooled fluids --- Adam-Gibbs theory. --- Ginzburg criterion. --- Kauzmann paradox. --- Laplace equation. --- Maxwell construction. --- antifreeze proteins. --- beta relaxation. --- capillarity approximation. --- critical nucleus. --- crystallization. --- detailed balance. --- dividing surface. --- embryos. --- energetics of formation. --- fragile liquids. --- free energy barrier. --- hard sphere fluid. --- ice. --- interfacial tension. --- mean-field theory. --- non-ergodicity parameter. --- order parameter. --- polyamorphism. --- spinodal curve. --- structural arrest. --- supercooled vapors. --- temperature.
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Flows of thermal origin and heat transfer problems are central in a variety of disciplines and industrial applications. The present book entitled Thermal Flows consists of a collection of studies by distinct investigators and research groups dealing with different types of flows relevant to both natural and technological contexts. Both reviews of the state-of-the-art and new theoretical, numerical and experimental investigations are presented, which illustrate the structure of these flows, their stability behavior, and the possible bifurcations to different patterns of symmetry and/or spatiotemporal regimes. Moreover, different categories of fluids are considered (liquid metals, gases, common fluids such as water and silicone oils, organic and inorganic transparent liquids, and nanofluids). This information is presented under the hope that it will serve as a new important resource for physicists, engineers and advanced students interested in the physics of non-isothermal fluid systems; fluid mechanics; environmental phenomena; meteorology; geophysics; and thermal, mechanical and materials engineering.
Research & information: general --- Physics --- coating flow --- free surface --- boundary layer --- stress singularity --- matched asymptotic expansions --- computational fluid dynamics --- turbulence --- rotating thermal convection --- Rayleigh-Bénard --- heat enhancement --- nanofluid --- circular pipe --- twisted tape --- porous media --- metal foam --- convection-driven dynamos --- numerical simulations --- bistability --- mean-field magnetohydrodynamics --- spherical shells --- stochastic equations --- equivalence of measures --- nature of turbulence --- critical Reynolds number --- thermovibrational convection --- gravity modulation --- thermofluid-dynamic distortions --- patterning behavior --- stratified mixing layer --- non-modal instability --- Kelvin-Helmholtz instability --- Holmboe instability --- rotating thermal magnetoconvection --- linear onset --- sphere --- Rayleigh-Bénard convection --- time periodical cooling --- Lattice Boltzmann method --- thermocapillary-driven convection --- half-zone liquid bridges --- particles --- coherent structures --- particle accumulation structure (PAS) --- high Prandtl number fluids --- plane layer --- circular translational vibrations --- thermal vibrational convection --- convective patterns --- coating flow --- free surface --- boundary layer --- stress singularity --- matched asymptotic expansions --- computational fluid dynamics --- turbulence --- rotating thermal convection --- Rayleigh-Bénard --- heat enhancement --- nanofluid --- circular pipe --- twisted tape --- porous media --- metal foam --- convection-driven dynamos --- numerical simulations --- bistability --- mean-field magnetohydrodynamics --- spherical shells --- stochastic equations --- equivalence of measures --- nature of turbulence --- critical Reynolds number --- thermovibrational convection --- gravity modulation --- thermofluid-dynamic distortions --- patterning behavior --- stratified mixing layer --- non-modal instability --- Kelvin-Helmholtz instability --- Holmboe instability --- rotating thermal magnetoconvection --- linear onset --- sphere --- Rayleigh-Bénard convection --- time periodical cooling --- Lattice Boltzmann method --- thermocapillary-driven convection --- half-zone liquid bridges --- particles --- coherent structures --- particle accumulation structure (PAS) --- high Prandtl number fluids --- plane layer --- circular translational vibrations --- thermal vibrational convection --- convective patterns
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The field of chaos in many-body quantum systems has a long history, going back to Wigner’s simple models for heavy nuclei. Quantum chaos is being investigated in a broad variety of experimental platforms such as heavy nuclei, driven (few-electron) atoms, ultracold quantum gases, and photonic or microwave realizations. Quantum chaos plays a new and important role in many branches of physics, from condensed matter problems of many-body localization, including thermalization studies in closed and open quantum systems, and the question of dynamical stability relevant for quantum information and quantum simulation. This Special Issue and its related book address theories and experiments, methods from classical chaos, semiclassics, and random matrix theory, as well as many-body condensed matter physics. It is dedicated to Prof. Shmuel Fishman, who was one of the major representatives of the field over almost four decades, who passed away in 2019.
Research & information: general --- quantum chaos --- decoherence --- Arnol’d cat --- classical limit --- correspondence principle --- cold atoms --- interacting fermions --- thermalization --- dynamical chaos --- Sinai oscillator --- quantum tunneling --- dissipation --- effective action --- quantum transport --- nonlinear Schrödinger equation --- Gross-Pitaevskii equation --- Schrödinger-Poisson equation --- Bose-Einstein condensate --- dark matter --- periodically kicked system --- Lorentzian potential --- topological horseshoe --- uniformly hyperbolicity --- sector condition --- fractal Weyl law --- survival probability --- correlation functions --- semiclassical approximation --- revival dynamics --- Morse oscillator --- atom-optics kicked rotor --- quantum resonance --- continuous-time quantum walks --- Bose–Einstein condensates --- quantum interference --- Aubry-André model --- correlation hole --- fluctuation theorems --- nonequilibrium statistical mechanics --- quantum thermodynamics --- phase transitions --- Dirac bosons --- mean field analysis --- adiabatic separation --- trapped ions --- Frenkel–Kontorova --- long–range interactions --- sine-Gordon kink --- quantum kicked rotor --- Anderson localisation --- dynamical localisation --- quantum chaos --- decoherence --- Arnol’d cat --- classical limit --- correspondence principle --- cold atoms --- interacting fermions --- thermalization --- dynamical chaos --- Sinai oscillator --- quantum tunneling --- dissipation --- effective action --- quantum transport --- nonlinear Schrödinger equation --- Gross-Pitaevskii equation --- Schrödinger-Poisson equation --- Bose-Einstein condensate --- dark matter --- periodically kicked system --- Lorentzian potential --- topological horseshoe --- uniformly hyperbolicity --- sector condition --- fractal Weyl law --- survival probability --- correlation functions --- semiclassical approximation --- revival dynamics --- Morse oscillator --- atom-optics kicked rotor --- quantum resonance --- continuous-time quantum walks --- Bose–Einstein condensates --- quantum interference --- Aubry-André model --- correlation hole --- fluctuation theorems --- nonequilibrium statistical mechanics --- quantum thermodynamics --- phase transitions --- Dirac bosons --- mean field analysis --- adiabatic separation --- trapped ions --- Frenkel–Kontorova --- long–range interactions --- sine-Gordon kink --- quantum kicked rotor --- Anderson localisation --- dynamical localisation
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Mean field approximation has been adopted to describe macroscopic phenomena from microscopic overviews. It is still in progress; fluid mechanics, gauge theory, plasma physics, quantum chemistry, mathematical oncology, non-equilibirum thermodynamics. spite of such a wide range of scientific areas that are concerned with the mean field theory, a unified study of its mathematical structure has not been discussed explicitly in the open literature. The benefit of this point of view on nonlinear problems should have significant impact on future research, as will be seen from the underlying features of self-assembly or bottom-up self-organization which is to be illustrated in a unified way. The aim of this book is to formulate the variational and hierarchical aspects of the equations that arise in the mean field theory from macroscopic profiles to microscopic principles, from dynamics to equilibrium, and from biological models to models that arise from chemistry and physics.
Applied Mathematics --- Engineering & Applied Sciences --- Mean field theory. --- Differential equations, Partial. --- Partial differential equations --- Mathematics. --- Mathematical analysis. --- Analysis (Mathematics). --- Calculus of variations. --- Biomathematics. --- Mathematical physics. --- Analysis. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematical Physics. --- Genetics and Population Dynamics. --- Physiological, Cellular and Medical Topics. --- Many-body problem --- Statistical mechanics --- Global analysis (Mathematics). --- Mathematical optimization. --- Genetics --- Physiology --- Animal physiology --- Animals --- Biology --- Anatomy --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Mathematics --- Physical mathematics --- Physics --- Isoperimetrical problems --- Variations, Calculus of --- 517.1 Mathematical analysis