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Books > Science & Mathematics > Physics > Thermodynamics & statistical physics
This book comprises selected papers from the International Conference on Numerical Heat Transfer and Fluid Flow (NHTFF 2018), and presents the latest developments in computational methods in heat and mass transfer. It also discusses numerical methods such as finite element, finite difference, and finite volume applied to fluid flow problems. Providing a good balance between computational methods and analytical results applied to a wide variety of problems in heat transfer, transport and fluid mechanics, the book is a valuable resource for students and researchers working in the field of heat transfer and fluid dynamics.
Analytical Mechanics for Relativity and Quantum Mechanics is an
innovative and mathematically sound treatment of the foundations of
analytical mechanics and the relation of classical mechanics to
relativity and quantum theory. It is intended for use at the
introductory graduate level. A distinguishing feature of the book
is its integration of special relativity into teaching of classical
mechanics. After a thorough review of the traditional theory, Part
II of the book introduces extended Lagrangian and Hamiltonian
methods that treat time as a transformable coordinate rather than
the fixed parameter of Newtonian physics. Advanced topics such as
covariant Langrangians and Hamiltonians, canonical transformations,
and Hamilton-Jacobi methods are simplified by the use of this
extended theory. And the definition of canonical transformation no
longer excludes the Lorenz transformation of special relativity.
This book is based on the analogy between contact mechanics and fracture mechanics as proposed by the author about twenty years ago. It starts with a chapter devoted to the surface energy and tension of solids and surface thermodynamics, which is followed by a chapter on elastic recall. The methods of Muskhelichvili and Hankel transforms for the resolution of plane and axisymmetric problems are studied. Then the essential conepts of fracture mechanics are presented with emphasis on the thermodynamic aspect of the problem. The reader will find complete analytical results and detailed calculations for cracks submitted to pressure distributions and the Dugdale model, as well as a chapter on contact mechanics. The contact and adherence of rough solids is also studied. This book is intended for advanced students and researchers working in the fields of fracture mechanics or adhesion.
The pendulum is a unique physical system which exhibits remarkably
varied and complex behavior under many different conditions. It is
also a system which, in its many manifestations, has left a
significant imprint on human thought and culture. Using graphs,
figures, and narrative to explain scientific ideas and models,
Gregory Baker gives a lucid account of the physics of the pendulum,
showing the reader how the context of the pendulum progresses over
four centuries from that of a simple system of classical physics,
to that of a chaotic system, and eventually to that of a modern
quantum system. He also describes its fascinating presence in
cultural history, from its role in timekeeping and measurements of
the earth to its importance as a literary symbol of doom.
As an introductory account of the theory of phase transitions and critical phenomena, Elements of Phase Transitions and Critical Phenomena reflects lectures given by the authors to graduate students at their departments and is thus classroom-tested to help beginners enter the field. Most parts are written as self-contained units and every new concept or calculation is explained in detail without assuming prior knowledge of the subject. The book significantly enhances and revises a Japanese version which is a bestseller in the Japanese market and is considered a standard textbook in the field. It contains new pedagogical presentations of field theory methods, including a chapter on conformal field theory, and various modern developments hard to find in a single textbook on phase transitions. Exercises are presented as the topics develop, with solutions found at the end of the book, making the text useful for self-teaching, as well as for classroom learning.
Nonlinear elliptic problems play an increasingly important role in
mathematics, science and engineering, creating an exciting
interplay between the subjects. This is the first and only book to
prove in a systematic and unifying way, stability, convergence and
computing results for the different numerical methods for nonlinear
elliptic problems. The proofs use linearization, compact
perturbation of the coercive principal parts, or monotone operator
techniques, and approximation theory. Examples are given for linear
to fully nonlinear problems (highest derivatives occur nonlinearly)
and for the most important space discretization methods: conforming
and nonconforming finite element, discontinuous Galerkin, finite
difference, wavelet (and, in a volume to follow, spectral and
meshfree) methods. A number of specific long open problems are
solved here: numerical methods for fully nonlinear elliptic
problems, wavelet and meshfree methods for nonlinear problems, and
more general nonlinear boundary conditions. We apply it to all
these problems and methods, in particular to eigenvalues, monotone
operators, quadrature approximations, and Newton methods.
Adaptivity is discussed for finite element and wavelet methods.
This book presents in a progressive way the techniques used in the proof of the hydrodynamic behavior of interacting particle systems. It starts with introductory material on independent particles and goes all the way to nongradient systems, covering the entropy and the relative entropy methods, asymmetric processes from which hyperbolic equations emerge, the equilibrium fluctuations and the large deviations theory for short-range stochastic dynamics. It reviews, in appendices, some tools of Markov process theory and derives estimates on the spectral gap of reversible, conservative generators. The book is self-contained and can be read by graduate students in mathematics or mathematical physics with standard probability background. It can be used as a support for a graduate on stochastic processes.
Hybrid Nanofluids for Convection Heat Transfer discusses how to maximize heat transfer rates with the addition of nanoparticles into conventional heat transfer fluids. The book addresses definitions, preparation techniques, thermophysical properties and heat transfer characteristics with mathematical models, performance-affecting factors, and core applications with implementation challenges of hybrid nanofluids. The work adopts mathematical models and schematic diagrams in review of available experimental methods. It enables readers to create new techniques, resolve existing research problems, and ultimately to implement hybrid nanofluids in convection heat transfer applications.
This book is part of a set of books which offers advanced students successive characterization tool phases, the study of all types of phase (liquid, gas and solid, pure or multi-component), process engineering, chemical and electrochemical equilibria, and the properties of surfaces and phases of small sizes. Macroscopic and microscopic models are in turn covered with a constant correlation between the two scales. Particular attention has been given to the rigor of mathematical developments. This second volume in the set is devoted to the study of liquid phases.
This hands-on guide is primarily intended to be used in
undergraduate laboratories in the physical sciences and
engineering. It assumes no prior knowledge of statistics. It
introduces the necessary concepts where needed, with key points
illustrated with worked examples and graphic illustrations. In
contrast to traditional mathematical treatments it uses a
combination of spreadsheet and calculus-based approaches, suitable
as a quick and easy on-the-spot reference. The emphasis throughout
is on practical strategies to be adopted in the laboratory.
Functionality, Advancements and Industrial Applications of Heat Pipes introduces heat pipe technologies and highlights a variety of applications for passive thermal control. The book begins with a thorough analysis of heat pipe infrastructure, including principles of operation, temperature limits, reliability and lessons learned from worked examples and case studies. It also presents a concise design guideline for the assembly of heat pipes. The second part moves on to consider a variety of modern day applications for the heat pipe principles discussed, covering nuclear and solar thermal energy engineering facilities as well as applications in space, in the sea and in the air. A final section works through manufacturing elements of different types of heat pipe to ensure they are well maintained and remain fully operational. This section includes the cleaning of parts, the assembly of the heat pipe, an analysis of gas blockages and how to deal with them, as well as performance versification.
This book presents a selection of advanced lectures from leading researchers, providing recent theoretical results on strongly coupled quantum field theories. It also analyzes their use for describing new quantum states, which are physically realizable in condensed matter, cold-atomic systems, as well as artificial materials. It particularly focuses on the engineering of these states in quantum devices and novel materials useful for quantum information processing. The book offers graduate students and young researchers in the field of modern condensed matter theory an updated review of the most relevant theoretical methods used in strongly coupled field theory and string theory. It also provides the tools for understanding their relevance in describing the emergence of new quantum states in a variety of physical settings. Specifically, this proceedings book summarizes new and previously unrelated developments in modern condensed matter physics, in particular: the interface of condensed matter theory and quantum information theory; the interface of condensed matter physics and the mathematics emerging from the classification of the topological phases of matter, such as topological insulators and topological superconductors; and the simulation of condensed matter systems with cold atoms in optical lattices.
This is the first scientic book devoted to the Pauli exclusion principle, which is a fundamental principle of quantum mechanics and is permanently applied in chemistry, physics, and molecular biology. However, while the principle has been studied for more than 90 years, rigorous theoretical foundations still have not been established and many unsolved problems remain. Following a historical survey in Chapter 1, the book discusses the still unresolved questions around this fundamental principle. For instance, why, according to the Pauli exclusion principle, are only symmetric and antisymmetric permutation symmetries for identical particles realized, while the Schrodinger equation is satisfied by functions with any permutation symmetry? Chapter 3 covers possible answers to this question. The construction of function with a given permutation symmetry is described in the previous Chapter 2, while Chapter 4 presents effective and elegant methods for finding the Pauli-allowed states in atomic, molecular, and nuclear spectroscopy. Chapter 5 discusses parastatistics and fractional statistics, demonstrating that the quasiparticles in a periodical lattice, including excitons and magnons, are obeying modified parafermi statistics. With detailed appendices, The Pauli Exclusion Principle: Origin, Verifications, and Applications is intended as a self-sufficient guide for graduate students and academic researchers in the fields of chemistry, physics, molecular biology and applied mathematics. It will be a valuable resource for any reader interested in the foundations of quantum mechanics and its applications, including areas such as atomic and molecular spectroscopy, spintronics, theoretical chemistry, and applied fields of quantum information.
This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and methods from statistical physics to the modeling of complex systems. These include avalanche dynamics in materials, models of social agents like road traffic or wealth repartition, the real space aspects of biological evolution dynamics, propagation phenomena on complex networks, formal neural networks and their connection to constraint satisfaction problems. This course-tested textbook provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences, including selected aspects of theoretical modeling in biology and the social sciences. It covers topics such as non-conserved particles, evolutionary population dynamics, networks, properties of both individual and coupled simple dynamical systems, and convergence theorems, as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. The original spirit of the book is to remain accessible to a broad, non-specialized readership. The format is a set of concise, modular, and self-contained topical chapters, avoiding technicalities and jargon as much as possible, and complemented by a wealth of worked-out examples, so as to make this work useful as a self-study text or as textbook for short courses.
This thesis presents several related advances in the field of nonequilibrium quantum thermodynamics. The central result is an ingenious proof that the local temperature and voltage measurement in a nonequilibrium system of fermions exists and is unique, placing the concept of local temperature on a rigorous mathematical footing for the first time. As an intermediate step, a proof of the positivity of the Onsager matrix of linear response theory is given -- a statement of the second law of thermodynamics that had lacked an independent proof for 85 years. A new experimental method to measure the local temperature of an electron system using purely electrical techniques is also proposed, which could enable improvements to the spatial resolution of thermometry by several orders of magnitude. Finally, a new mathematically-exact definition for the local entropy of a quantum system in a nonequilibrium steady state is derived. Several different measures of the local entropy are discussed, relating to the thermodynamics of processes that a local observer with varying degrees of information about the microstates of the system could carry out, and it is shown that they satisfy a hierarchy of inequalities. Proofs of the third law of thermodynamics for generic open quantum systems are presented, taking into account the entropic contribution due to localized states. Appropriately normalized (per-state) local entropies are defined and are used to quantify the departure from local equilibrium.
This book contains the courses given at the Fifth School on Complex Systems held at Santiago, Chile, from 9th .to 13th December 1996. At this school met researchers working on areas related with recent trends in Complex Systems, which include dynamical systems, cellular automata, symbolic dynamics, spatial systems, statistical physics and thermodynamics. Scientists working in these subjects come from several areas: pure and applied mathematics, physics, biology, computer science and electrical engineering. Each contribution is devoted to one of the above subjects. In most cases they are structured as surveys, presenting at the same time an original point of view about the topic and showing mostly new results. The paper of Bruno Durand presents the state of the art on the relationships between the notions of surjectivity, injectivity and reversibility in cellular automata when finite, infinite or periodic configurations are considered, also he discusses decidability problems related with the classification of cellular automata as well as global properties mentioned above. The paper of Eric Goles and Martin Matamala gives a uniform presentation of simulations of Turing machines by cellular automata. The main ingredient is the encoding function which must be fixed for all Turing machine. In this context known results are revised and new results are presented.
Quantum information- the subject- is a new and exciting area of
science, which brings together physics, information theory,
computer science and mathematics. Quantum Information- the book- is
based on two successful lecture courses given to advanced
undergraduate and beginning postgraduate students in physics. The
intention is to introduce readers at this level to the fundamental,
but offer rather simple, ideas behind ground-breaking developments
including quantum cryptography, teleportation and quantum
computing. The text is necessarily rather mathematical in style,
but the mathematics nowhere allowed priority over the key physical
ideas. My aim throughout was to be as complete and self- contained
but to avoid, as far as possible, lengthy and formal mathematical
proofs. Each of the eight chapters is followed by about forty
exercise problems with which the reader can test their
understanding and hone their skills. These will also provide a
valuable resource to tutors and lectures.
In the high energy gas flows, associating high velocities and high
temperatures, physical and chemical processes such as molecular
vibrational excitation, dissociation, ionisation or various
reactions take palce and deeply influence the structure of the
flows. The characteristic times of these processes have the same
order of magnitude as aerodynamic characteristic times so that
these reactive media are generally in thermodynamic and chemical
non-equilibrium. This book presents a general introductory study of
these media. In the first part their fundamental statistical
aspects are described, starting from their discrete structure and
taking into account the interactions between elementary particles:
the transport phenomena, relaxation and kinetics as well as their
coupling are thus analysed and illustrated by many examples. The
second part deals with the macroscopic re-entry bodies. Finally the
experimental aspects of these flows, their simulations in shock
tube and shock tunnel are described as well as their application,
particularly in the aero- spatial domain.
Complexity and Complex Thermoeconomic Systems describes the properties of complexity and complex thermo-economic systems as the consequence of formulations, definitions, tools, solutions and results consistent with the best performance of a system. Applying to complex systems contemporary advanced techniques, such as static optimization, optimal control, and neural networks, this book treats the systems theory as a science of general laws for functional integrities. It also provides a platform for the discussion of various definitions of complexity, complex hierarchical structures, self-organization examples, special references, and historical issues. This book is a valuable reference for scientists, engineers and graduated students in chemical, mechanical, and environmental engineering, as well as those in physics, ecology and biology, helping them better understand the complex thermodynamic systems and enhance their technical skills in research.
The accurate measurement of temperature is a vital parameter in many fields of engineering and scientific practice. Responding to emerging trends, this classic reference has been fully revised to include coverage of the latest instrumentation and measurement methods. Featuring:
This edited volume provides an essential resource for urban morphology, the study of urban forms and structures, offering a much-needed mathematical perspective. Experts on a variety of mathematical modeling techniques provide new insights into specific aspects of the field, such as street networks, sustainability, and urban growth. The chapters collected here make a clear case for the importance of tools and methods to understand, model, and simulate the formation and evolution of cities. The chapters cover a wide variety of topics in urban morphology, and are conveniently organized by their mathematical principles. The first part covers fractals and focuses on how self-similar structures sort themselves out through competition. This is followed by a section on cellular automata, and includes chapters exploring how they generate fractal forms. Networks are the focus of the third part, which includes street networks and other forms as well. Chapters that examine complexity and its relation to urban structures are in part four.The fifth part introduces a variety of other quantitative models that can be used to study urban morphology. In the book's final section, a series of multidisciplinary commentaries offers readers new ways of looking at the relationship between mathematics and urban forms. Being the first book on this topic, Mathematics of Urban Morphology will be an invaluable resource for applied mathematicians and anyone studying urban morphology. Additionally, anyone who is interested in cities from the angle of economics, sociology, architecture, or geography will also find it useful. "This book provides a useful perspective on the state of the art with respect to urban morphology in general and mathematics as tools and frames to disentangle the ideas that pervade arguments about form and function in particular. There is much to absorb in the pages that follow and there are many pointers to ways in which these ideas can be linked to related theories of cities, urban design and urban policy analysis as well as new movements such as the role of computation in cities and the idea of the smart city. Much food for thought. Read on, digest, enjoy." From the foreword by Michael Batty
This book offers a broad discussion of the concepts required to
understand the thermodynamic stability of molecules and bonds and a
description of the most important condensed-phase techniques that
have been used to obtain that information. Above all, this book
attempts to provide useful guidelines on how to choose the "best"
data and how to use it to understand chemistry. Although the book
assumes some basic knowledge on physical-chemistry, it has been
written in a "textbook" style and most topics are addressed in a
way that is accessible to advanced undergraduate students. Many
examples are given throughout the text, involving a variety of
molecules.
This book is a self-contained advanced textbook on the mathematical-physical aspects of quantum many-body systems, which begins with a pedagogical presentation of the necessary background information before moving on to subjects of active research, including topological phases of matter. The book explores in detail selected topics in quantum spin systems and lattice electron systems, namely, long-range order and spontaneous symmetry breaking in the antiferromagnetic Heisenberg model in two or higher dimensions (Part I), Haldane phenomena in antiferromagnetic quantum spin chains and related topics in topological phases of quantum matter (Part II), and the origin of magnetism in various versions of the Hubbard model (Part III). Each of these topics represents certain nontrivial phenomena or features that are invariably encountered in a variety of quantum many-body systems, including quantum field theory, condensed matter systems, cold atoms, and artificial quantum systems designed for future quantum computers. The book's main focus is on universal properties of quantum many-body systems. The book includes roughly 50 problems with detailed solutions. The reader only requires elementary linear algebra and calculus to comprehend the material and work through the problems. Given its scope and format, the book is suitable both for self-study and as a textbook for graduate or advanced undergraduate classes.
This book is placed at the interface between string theory and elementary particle physics and shows novel results in the search for a heterotic string vacuum that reproduces those matter particles and interactions observed in our universe. The author provides a systematic classification of potentially realistic heterotic covariant lattice vacua, which possess a lower number of moduli fields when compared to conventional compactification methods, by means of number theoretical methods. These methods, while well known to the mathematics community, have not yet found many applications to physics. They are introduced to the degree necessary to understand the computations carried out throughout this work. Furthermore, explicit covariant lattice models with particularly interesting properties are analyzed in detail. Finally, new light is shed on the relation between covariant lattice models and asymmetric orbifold compactifications, the result being a concrete correspondence between certain types of asymmetric orbifolds and those classified covariant lattices. |
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