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Mixing may be thought of as the operation by which a system evolves from one state of simplicity (initial segregation) to another state of simplicity (complete uniformity). Between these two extremes, complex patterns emerge and die. Questions naturally arise- how can the geometry of complex patterns be characterised, what is the time scale of the process, what structures are involved in the flow? This volume, comprising the proceedings of the NATO ASI on Mixing, attempts to address these questions from the approaches of geometry, kinetics and structure. The ASI which brought together diverse communities with a common interest in the problem of mixing, now provides us with a comprehensive work on the problem of mixing.
Mixing --- Congresses --- Continuum physics. --- Condensed matter. --- Mathematical physics. --- Geometry. --- Classical and Continuum Physics. --- Condensed Matter Physics. --- Theoretical, Mathematical and Computational Physics. --- Mathematics --- Euclid's Elements --- Physical mathematics --- Physics --- Condensed materials --- Condensed media --- Condensed phase --- Materials, Condensed --- Media, Condensed --- Phase, Condensed --- Liquids --- Matter --- Solids --- Classical field theory --- Continuum physics --- Continuum mechanics --- Mixing. --- Blending --- Chemical engineering --- Fluid dynamics --- Hydrodynamics --- Chaos (dynamical) --- Process engineering --- Turbulence --- Atmosphere (earth)
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It seems doubtful whether we can expect to understand fully the instability of fluid flow without obtaining a mathematical representa tion of the motion of a fluid in some particular case in which instability can actually be ob served, so that a detailed comparison can be made between the results of analysis and those of experiment. - G.l. Taylor (1923) Though the equations of fluid dynamics are quite complicated, there are configurations which allow simple flow patterns as stationary solutions (e.g. flows between parallel plates or between rotating cylinders). These flow patterns can be obtained only in certain parameter regimes. For parameter values not in these regimes they cannot be obtained, mainly for two different reasons: • The mathematical existence of the solutions is parameter dependent; or • the solutions exist mathematically, but they are not stable. For finding stable steady states, two steps are required: the steady states have to be found and their stability has to be determined.
Viscous flow. --- Taylor vortices. --- Rayleigh-Benard convection. --- Pattern formation (Physical sciences) --- Rayleigh-Bénard convection --- Taylor vortices --- Viscous flow --- Fluid dynamics --- Viscosity --- Taylor-Couette flow --- Taylor vortex flow --- Vortices, Taylor --- Vortex-motion --- Heat --- Bénard cells --- Chaotic behavior in systems --- Convection --- Continuum physics. --- Mathematical models. --- Physics. --- Classical and Continuum Physics. --- Mathematical Modeling and Industrial Mathematics. --- Physics, general. --- Models, Mathematical --- Simulation methods --- Classical field theory --- Continuum physics --- Physics --- Continuum mechanics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics
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Award-winning monograph of the Ferran Sunyer i Balaguer Prize 1998.This book is devoted to the relation between two different concepts of integrability: the complete integrability of complex analytical Hamiltonian systems and the integrability of complex analytical linear differential equations. For linear differential equations, integrability is made precise within the framework of differential Galois theory. The connection of these two integrability notions is given by the variational equation (i.e. linearized equation) along a particular integral curve of the Hamiltonian system. The underlying heuristic idea, which motivated the main results presented in this monograph, is that a necessary condition for the integrability of a Hamiltonian system is the integrability of the variational equation along any of its particular integral curves. This idea led to the algebraic non-integrability criteria for Hamiltonian systems. These criteria can be considered as generalizations of classical non-integrability results by Poincaré and Liapunov, as well as more recent results by Ziglin and Yoshida. Thus, by means of the differential Galois theory it is not only possible to understand all these approaches in a unified way but also to improve them. Several important applications are also included: homogeneous potentials, Bianchi IX cosmological model, three-body problem, Hénon-Heiles system, etc.The book is based on the original joint research of the author with J.M. Peris, J.P. Ramis and C. Simó, but an effort was made to present these achievements in their logical order rather than their historical one. The necessary background on differential Galois theory and Hamiltonian systems is included, and several new problems and conjectures which open new lines of research are proposed.
Differential algebra. --- Galois theory --- Hamiltonian systems. --- Galois theory. --- Mathematics. --- Algebra. --- Field theory (Physics). --- Global analysis (Mathematics). --- Manifolds (Mathematics). --- Differential equations. --- Ordinary Differential Equations. --- Global Analysis and Analysis on Manifolds. --- Field Theory and Polynomials. --- 517.91 Differential equations --- Differential equations --- Geometry, Differential --- Topology --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Classical field theory --- Continuum physics --- Physics --- Continuum mechanics --- Mathematics --- Mathematical analysis --- Math --- Science
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The explanation of the formal duality of Kerdock and Preparata codes is one of the outstanding results in the field of applied algebra in the last few years. This result is related to the discovery of large sets of quad riphase sequences over Z4 whose correlation properties are better than those of the best binary sequences. Moreover, the correlation properties of sequences are closely related to difference properties of certain sets in (cyclic) groups. It is the purpose of this book to illustrate the connection between these three topics. Most articles grew out of lectures given at the NATO Ad vanced Study Institute on "Difference sets, sequences and their correlation properties". This workshop took place in Bad Windsheim (Germany) in August 1998. The editors thank the NATO Scientific Affairs Division for the generous support of this workshop. Without this support, the present collection of articles would not have been realized.
Difference sets --- Sequences (Mathematics) --- Congresses --- Combinatorics. --- Electrical engineering. --- Computer science—Mathematics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Algebra. --- Field theory (Physics). --- Electrical Engineering. --- Discrete Mathematics in Computer Science. --- Signal, Image and Speech Processing. --- Field Theory and Polynomials. --- Classical field theory --- Continuum physics --- Physics --- Continuum mechanics --- Mathematics --- Mathematical analysis --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering --- Combinatorics --- Algebra --- Difference sets. --- Sets, Difference --- Combinatorial analysis
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Preferred finite difference schemes in one, two, and three space dimensions are described for solving the three fundamental equations of mechanics (conservation of mass, conservation of momentum, and conservation of energy). Models of the behavior of materials provide the closure to the three fundamentals equations for applications to problems in compressible fluid flow and solid mechanics. The use of Lagrange coordinates permits the history of mass elements to be followed where the integrated effects of plasticity and external loads change the material physical properties. Models of fracture, including size effects, are described. The detonation of explosives is modelled following the Chapman--Jouget theory with equations of state for the detonation products derived from experiments. An equation-of-state library for solids and explosives is presented with theoretical models that incorporate experimental data from the open literature. The versatility of the simulation programs is demonstrated by applications to the calculations of surface waves from an earthquake to the shock waves from supersonic flow and other examples.
Artificial intelligence. Robotics. Simulation. Graphics --- Classical mechanics. Field theory --- Hydrodynamics --- Gas dynamics --- Elastoplasticity --- Computer simulation. --- Mathematical physics. --- Continuum physics. --- Condensed matter. --- Applied mathematics. --- Engineering mathematics. --- Computer mathematics. --- Theoretical, Mathematical and Computational Physics. --- Classical and Continuum Physics. --- Simulation and Modeling. --- Condensed Matter Physics. --- Mathematical and Computational Engineering. --- Computational Science and Engineering. --- Computer mathematics --- Electronic data processing --- Mathematics --- Engineering --- Engineering analysis --- Mathematical analysis --- Condensed materials --- Condensed media --- Condensed phase --- Materials, Condensed --- Media, Condensed --- Phase, Condensed --- Liquids --- Matter --- Solids --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Classical field theory --- Continuum physics --- Physics --- Continuum mechanics --- Physical mathematics --- Hydrodynamics - Computer simulation. --- Gas dynamics - Computer simulation. --- Elastoplasticity - Computer simulation.
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