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
