Leseprobe
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Stochastic Thermodynamics
Luca Peliti, Simone Pigolotti
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Naturwissenschaften, Medizin, Informatik, Technik / Naturwissenschaften allgemein
Beschreibung
The first comprehensive graduate-level introduction to stochastic thermodynamics
Stochastic thermodynamics is a well-defined subfield of statistical physics that aims to interpret thermodynamic concepts for systems ranging in size from a few to hundreds of nanometers, the behavior of which is inherently random due to thermal fluctuations. This growing field therefore describes the nonequilibrium dynamics of small systems, such as artificial nanodevices and biological molecular machines, which are of increasing scientific and technological relevance.
This textbook provides an up-to-date pedagogical introduction to stochastic thermodynamics, guiding readers from basic concepts in statistical physics, probability theory, and thermodynamics to the most recent developments in the field. Gradually building up to more advanced material, the authors consistently prioritize simplicity and clarity over exhaustiveness and focus on the development of readers’ physical insight over mathematical formalism. This approach allows the reader to grow as the book proceeds, helping interested young scientists to enter the field with less effort and to contribute to its ongoing vibrant development. Chapters provide exercises to complement and reinforce learning.
Appropriate for graduate students in physics and biophysics, as well as researchers, Stochastic Thermodynamics serves as an excellent initiation to this rapidly evolving field.
- Emphasizes a pedagogical approach to the subject
- Highlights connections with the thermodynamics of information
- Pays special attention to molecular biophysics applications
- Privileges physical intuition over mathematical formalism
- Solutions manual available on request for instructors adopting the book in a course
Kundenbewertungen
Thermodynamic integration, Microcanonical ensemble, Phase diagram, Gibbs free energy, Gillespie algorithm, Zeroth law of thermodynamics, Microscopic reversibility, Fluctuation-dissipation theorem, Continuity equation, Measurement, Chemical potential, Statistical weight, Observable, Probability distribution, Master equation, Jarzynski equality, Large deviations theory, Non-equilibrium thermodynamics, Sign convention, Kinetic theory of gases, Thermodynamic limit, Degrees of freedom (statistics), Landauer's principle, Fluctuation theorem, Irreversible process, Time, Boltzmann distribution, Internal energy, Entropy production, Equation of state (cosmology), Hamiltonian mechanics, Thermodynamic equilibrium, Thermodynamic system, Detailed balance, Thermodynamics, Canonical ensemble, Dissipation, Microstate (statistical mechanics), Correspondence principle, Entropy, Martingale (probability theory), Inverse function, Probability, Laws of thermodynamics, Ergodicity, Molecule, Stationary distribution, Temperature, Stochastic process, Second law of thermodynamics, Boltzmann's entropy formula, Dirac delta function, Fokker–Planck equation, Joint probability distribution, Rate function, Stochastic, Central limit theorem, Langevin equation, Free energy, Quantum realm, Stratonovich integral, Grand canonical ensemble, Quantum harmonic oscillator, Probability current, Markov process, Markov chain, Cumulant, Law of mass action, Quantity, Statistical mechanics