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Statistical mechanics is the third pillar of modern physics, next to quantum theory and relativity theory. It aims to account for the behaviour of macroscopic systems in terms of the dynamical laws that govern their microscopic constituents and probabilistic assumptions about them. In this Element, the authors investigate the philosophical and foundational issues that arise in SM. The authors introduce the two main theoretical approaches in SM, Boltzmannian SM and Gibbsian SM, and discuss how they conceptualise equilibrium and explain the approach to it. In doing so, the authors examine how probabilities are introduced into the theories, how they deal with irreversibility, how they understand the relation between the micro and the macro level, and how the two approaches relate to each other. Throughout, the authors also pinpoint open problems that can be subject of future research. This title is also available as Open Access on Cambridge Core.
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The physics of non-equilibrium many-body systems is a rapidly expanding area of theoretical physics. Traditionally employed in laser physics and superconducting kinetics, these techniques have more recently found applications in the dynamics of cold atomic gases, mesoscopic and nano-mechanical systems, and quantum computation. This book provides a detailed presentation of modern non-equilibrium field-theoretical methods, applied to examples ranging from biophysics to the kinetics of superfluids and superconductors. A highly pedagogical and self-contained approach is adopted within the text, making it ideal as a reference for graduate students and researchers in condensed matter physics. The text has been substantially updated to include recent developments in the field. Problems have been added throughout, structured as compact guided research projects that encourage independent exploration.
Quantum field theory. --- Nonequilibrium statistical mechanics. --- Condensed matter.
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Entropy Beyond the Second Law presents a coherent formulation of all aspects of thermodynamics and statistical mechanics with entropy as the unifying theme. This second edition includes the novel entropic treatment of Bose-Einstein condensation, superfluidity, and high temperature superconductivity. The new physical insights and the quantitative agreement with experimental measurement provide concrete examples of the universal approach based on entropy advocated in the book. Thermodynamics and statistical mechanics are important subjects, and students, academics, and researchers require the fundamental concepts to be clearly and concisely presented, as part of a unified whole, and the mathematical derivations to be explained with detailed physical explanation and applications.
Entropy. --- Thermodynamics. --- Statistical mechanics. --- Thermodynamics & heat. --- SCIENCE / Mechanics / Thermodynamics.
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This textbook provides a comprehensive introduction to the mathematical foundations of quantum statistical physics. It presents a conceptually profound yet technically accessible path to the C*-algebraic approach to quantum statistical mechanics, demonstrating how key aspects of thermodynamic equilibrium can be derived as simple corollaries of classical results in convex analysis. Using C*-algebras as examples of ordered vector spaces, this book makes various aspects of C*-algebras and their applications to the mathematical foundations of quantum theory much clearer from both mathematical and physical perspectives. It begins with the simple case of Gibbs states on matrix algebras and gradually progresses to a more general setting that considers the thermodynamic equilibrium of infinitely extended quantum systems. The book also illustrates how first-order phase transitions and spontaneous symmetry breaking can occur, in contrast to the finite-dimensional situation. One of the unique features of this book is its thorough and clear treatment of the theory of equilibrium states of quantum mean-field models. This work is self-contained and requires only a modest background in analysis, topology, and functional analysis from the reader. It is suitable for both mathematicians and physicists with a specific interest in quantum statistical physics.
C*-algebras. --- Quantum statistics. --- Algebras, C star --- Algebras, W star --- C star algebras --- W star algebras --- W*-algebras --- Banach algebras --- Quantum statistical mechanics --- Matrix mechanics --- Statistical mechanics --- Wave mechanics --- Mathematical physics. --- Statistical Mechanics. --- Quantum physics. --- Functional analysis. --- Mathematical Physics. --- Mathematical Methods in Physics. --- Quantum Physics. --- Functional Analysis. --- Functional calculus --- Calculus of variations --- Functional equations --- Integral equations --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Physics --- Mechanics --- Thermodynamics --- Mechanics, Analytic --- Quantum statistics --- Statistical physics --- Physical mathematics --- Mathematics --- Estadística quàntica --- C*-àlgebres --- Statistical mechanics. --- Quantum theory.
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This book is a brief and accessible popular science text intended for a broad audience and of particular interest also to science students and specialists. Using a minimum of mathematics, a number of qualitative and quantitative examples, and clear illustrations, the author explains the science of thermodynamics in its full historical context, focusing on the concepts of energy and its availability and transformation in thermodynamic processes. His ultimate aim is to gain a deep understanding of the second law—the increase of entropy—and its rather disheartening message of a universe descending inexorably into chaos and disorder. It also examines the connection between the second law and why things go wrong in our daily lives. Readers will enhance their science literacy and feel more at home on the science side of author C. P. Snow's celebrated two-culture, science-humanities divide, and hopefully will feel more at home in the universe knowing that the disorder we deal with in our daily lives is not anyone's fault but Nature's. .
Statistical Mechanics. --- Thermodynamics. --- Statistical Physics. --- Mathematics. --- Social sciences. --- Sociology. --- Mathematics in the Humanities and Social Sciences. --- Entropy
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Condensed matter. --- Mathematical physics. --- Statistical mechanics. --- Physical mathematics --- Physics --- Mathematics --- Condensed materials --- Condensed media --- Condensed phase --- Materials, Condensed --- Media, Condensed --- Phase, Condensed --- Liquids --- Matter --- Solids --- Mechanics --- Mechanics, Analytic --- Quantum statistics --- Statistical physics --- Thermodynamics
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This monograph provides a state-of-the-art treatment of learning and robust control in quantum technology. It presents a systematic investigation of control design and algorithm realisation for several classes of quantum systems using control-theoretic tools and machine-learning methods. The approaches rely heavily on examples and the authors cover: sliding mode control of quantum systems; control and classification of inhomogeneous quantum ensembles using sampling-based learning control; robust and optimal control design using machine-learning methods; robust stability of quantum systems; and H∞ and fault-tolerant control of quantum systems. Both theoretical algorithm design and potential practical applications are considered. Methods for enhancing robustness of performance are developed in the context of quantum state preparation, quantum gate construction, and ultrafast control of molecules. Researchers and graduates studying systems and control theory, quantum control, and quantum engineering, especially from backgrounds in electrical engineering, applied mathematics and quantum information will find Learning and Robust Control in Quantum Technology to be a valuable reference for the investigation of learning and robust control of quantum systems. The material contained in this book will also interest chemists and physicists working on chemical physics, quantum optics, and quantum information technology.
System theory. --- Control theory. --- Control engineering. --- Quantum computing. --- Atoms. --- Molecules. --- Quantum optics. --- Quantum statistics. --- Systems Theory, Control . --- Control and Systems Theory. --- Quantum Information. --- Atomic, Molecular and Chemical Physics. --- Quantum Optics. --- Quantum Fluids and Solids. --- Quantum statistical mechanics --- Matrix mechanics --- Statistical mechanics --- Wave mechanics --- Optics --- Photons --- Quantum theory --- Chemistry, Physical and theoretical --- Matter --- Stereochemistry --- Computation, Quantum --- Computing, Quantum --- Information processing, Quantum --- Quantum computation --- Quantum information processing --- Electronic data processing --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Dynamics --- Machine theory --- Systems, Theory of --- Systems science --- Science --- Constitution --- Philosophy --- Automatic control --- Machine learning. --- Quantum computers. --- Data processing. --- Computers --- Learning, Machine --- Artificial intelligence
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This book highlights the fundamentals for understanding the essential problems and latest progresses in basic water science. Water is the most abundant, fundamental and important matter in nature. Arguably it is also the material that human beings study the most but misunderstand the most. Compared with the environmental science and engineering research activities on water resources, water pollution and water usage closely related to social problems at the macro level, basic scientific research on water at the molecular level has just emerged, the impact of which is not fully recognized yet. This book is devoted to introducing some important advances in the field of basic water science in past decades, with a particular emphasis on recent results on water and the interactions between water and solid surfaces at the molecular level. Starting from introducing concepts and popular theoretical and experimental methods for basic water research, this book mainly focuses on the atomic composition, electronic structure, and physicochemical properties of water molecules, water clusters and water layers (including surface water layers and water surface layers), rules for water adsorption on metals, oxides, and other typical solid surfaces such as salt, as well as the microscopic processes and mechanisms of water diffusion, wetting, decomposition and phase transformations under a variety of conditions. It is a good reference book for students and researchers in water-related science.
Hydrology. --- Water. --- Hydrology --- Aquatic sciences --- Earth sciences --- Hydrography --- Water --- Atomic structure . --- Molecular structure. --- Surfaces (Physics). --- Microclusters. --- Condensed matter. --- Quantum physics. --- Quantum statistics. --- Atomic and Molecular Structure and Properties. --- Surface and Interface and Thin Film. --- Atomic and Molecular Clusters. --- Phase Transition and Critical Phenomena. --- Atom and Molecule Optics and Interferometry. --- Quantum Gases and Condensates. --- Quantum statistical mechanics --- Matrix mechanics --- Statistical mechanics --- Wave mechanics --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Physics --- Mechanics --- Thermodynamics --- Condensed materials --- Condensed media --- Condensed phase --- Materials, Condensed --- Media, Condensed --- Phase, Condensed --- Liquids --- Matter --- Solids --- Atomic clusters --- Clusters, Atomic --- Clusters, Molecular --- Microcluster physics --- Molecular clusters --- Atoms --- Microphysics --- Surface chemistry --- Surfaces (Technology) --- Structure, Molecular --- Chemical structure --- Structural bioinformatics --- Structure, Atomic --- Atomic theory --- Atomic structure. --- Surfaces (Physics) --- Quantum theory.
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Scientists are increasingly finding themselves engaged in research problems that cross the traditional disciplinary lines of physics, chemistry, biology, materials science, and engineering. Because of its broad scope, statistical mechanics is an essential tool for students and more experienced researchers planning to become active in such an interdisciplinary research environment. Powerful computational methods that are based in statistical mechanics allow complex systems to be studied at an unprecedented level of detail. This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problems and provides readers with a solid foundation in topics that reflect the modern landscape of statistical mechanics. Topics covered include detailed reviews of classical and quantum mechanics, in-depth discussions of the equilibrium ensembles and the use of molecular dynamics and Monte Carlo to sample classical and quantum ensemble distributions, Feynman path integrals, classical and quantum linear-response theory, nonequilibrium molecular dynamics, the Langevin and generalized Langevin equations, critical phenomena, techniques for free energy calculations, machine learning models, and the use of these models in statistical mechanics applications. The book is structured such that the theoretical underpinnings of each topic are covered side by side with computational methods used for practical implementation of the theoretical concepts.
Statistical mechanics. --- Statistical physics. --- Quantum theory. --- Molecular dynamics --- Monte Carlo method. --- Langevin equations. --- Feynman integrals. --- Critical phenomena (Physics) --- Mécanique statistique. --- Physique statistique. --- Dynamique moléculaire. --- Bioinformatique. --- Thermodynamique. --- Théorie quantique. --- Monte-Carlo, Méthode de. --- Langevin, Équation de. --- Feynman, Intégrales de. --- Phénomènes critiques (physique) --- Manuels d'enseignement supérieur. --- Simulation methods --- Mécanique statistique. --- Dynamique moléculaire. --- Théorie quantique. --- Monte-Carlo, Méthode de. --- Langevin, Équation de. --- Feynman, Intégrales de. --- Phénomènes critiques (physique) --- Manuels d'enseignement supérieur.
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