Statistical Mechanics of Phases and Phase Transitions (eBook)

Jeffrey Chang, Jack Mingde Jiang, Steven A. Kivelson (Autoren)

eBook Download: PDF

2024
472 Seiten
Princeton University Press (Verlag)
978-0-691-24972-8 (ISBN)

Infos

An engaging undergraduate introduction to the statistical mechanics of phase transitionsStatistical mechanics deploys a powerful set of mathematical approaches for studying the thermodynamic properties of complex physical systems. This textbook introduces students to the statistical mechanics of systems undergoing changes of state, focusing on the basic principles for classifying distinct thermodynamic phases and the critical phenomena associated with transitions between them. Uniquely designed to promote active learning, Statistical Mechanics of Phases and Phase Transitions presents some of the most beautiful and profound concepts in physics, enabling students to obtain an essential understanding of a computationally challenging subject without getting lost in the details.Provides a self-contained, conceptually deep introduction to the statistical mechanics of phases and phase transitions from a modern perspectiveCarefully leads students from spontaneously broken symmetries to the universality of phase transitions and the renormalization groupEncourages student-centric active learning suitable for both the classroom and self-studyFeatures a wealth of guided worksheets with full solutions throughout the book that help students learn by doingIncludes informative appendixes that cover key mathematical concepts and methodsIdeal for undergraduate physics majors and beginning graduate studentsSolutions manual for all end-of-chapter problems (available only to instructors)

Produkt-Details

• Erscheint lt. Verlag: 9.4.2024
• Zusatzinfo: 49 color illus.
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Festkörperphysik
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
• Schlagworte: Approximation • boundary • Broken • Configuration • continuous • Correlation • Crystal • density • Derivative • Direction • Distance • Domain • Energy • Equation • Equilibrium • Equivalent • Expansion • exponents • Expression • Factor • Ferromagnet • Field • Finite • Function • Gaussian • hamiltonian • hint • Integral • Interactions • Invariant • ?k • Landau • lattice • length • Limit • Magnetic • Magnetic field • magnetization • Magnitude • mean • Mechanics • Nonzero • Parameter • Partition • partition function • Phase • Points • powers • Properties • Quantity • ?r • Region • sites • Solution • space • Spatial • Spins • Statistical • sum • symmetry • Systems • Temperature • Thermodynamic • Transition • Trial • Variables • Variational • Vector • Wall • Zero
• ISBN-10: 0-691-24972-5 / 0691249725
• ISBN-13: 978-0-691-24972-8 / 9780691249728