Stochastic Thermodynamics

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A01=Luca Peliti
A01=Simone Pigolotti
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Author_Luca Peliti
Author_Simone Pigolotti
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Boltzmann distribution
Boltzmann's entropy formula
Canonical ensemble
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Category=PBWL
Category=PHH
Category=PHS
Category=PHU
Central limit theorem
Chemical potential
Continuity equation
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Correspondence principle
Cumulant
Degrees of freedom (statistics)
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Detailed balance
Dirac delta function
Dissipation
Entropy
Entropy production
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Equation of state (cosmology)
Ergodicity
Fluctuation theorem
Fluctuation-dissipation theorem
Fokker-Planck equation
Free energy
Gibbs free energy
Gillespie algorithm
Grand canonical ensemble
Hamiltonian mechanics
Internal energy
Inverse function
Irreversible process
Jarzynski equality
Joint probability distribution
Kinetic theory of gases
Landauer's principle
Langevin equation
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Large deviations theory
Law of mass action
Laws of thermodynamics
Markov chain
Markov process
Martingale (probability theory)
Master equation
Measurement
Microcanonical ensemble
Microscopic reversibility
Microstate (statistical mechanics)
Molecule
Non-equilibrium thermodynamics
Observable
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Phase diagram
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Probability
Probability current
Probability distribution
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Quantity
Quantum harmonic oscillator
Quantum realm
Rate function
Second law of thermodynamics
Sign convention
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Stationary distribution
Statistical mechanics
Statistical weight
Stochastic
Stochastic process
Stratonovich integral
Temperature
Thermodynamic equilibrium
Thermodynamic integration
Thermodynamic limit
Thermodynamic system
Thermodynamics
Time
Zeroth law of thermodynamics

Product details

  • ISBN 9780691201771
  • Weight: 726g
  • Dimensions: 178 x 254mm
  • Publication Date: 06 Jul 2021
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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
Luca Peliti is deputy director of the Santa Marinella Research Institute and professor emeritus of statistical mechanics at the University of Naples Federico II. He is the author of Statistical Mechanics in a Nutshell (Princeton). Simone Pigolotti is associate professor at the Okinawa Institute of Science and Technology, where he leads the Biological Complexity Unit.

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