Logo

Lecture Notes in Statistical Mechanics and Mesoscopics

Small book cover: Lecture Notes in Statistical Mechanics and Mesoscopics

Lecture Notes in Statistical Mechanics and Mesoscopics
by

Publisher: arXiv
Number of pages: 119

Description:
These are the lecture notes for quantum and statistical mechanics courses that are given by DC at Ben-Gurion University. Topics covered: introduction to master equations; non-equilibrium processes; fluctuation theorems; linear response theory; adiabatic transport; the Kubo formalism; and the scattering approach to mesoscopics.

Home page url

Download or read it online for free here:
Download link
(1.1MB, PDF)

Similar books

Book cover: Statistical MechanicsStatistical Mechanics
by - Oberlin College
This is a book about statistical mechanics at the advanced undergraduate level. It assumes a background in classical mechanics through the concept of phase space, in quantum mechanics through the Pauli exclusion principle, and multivariate calculus.
(11428 views)
Book cover: Kinetic TheoryKinetic Theory
by - University of Cambridge
This is a graduate course on topics in non-equilibrium statistical mechanics, covering kinetic theory, stochastic processes and linear response. It is aimed at masters students and PhD students. The full set of lecture notes are around 100 pages.
(9653 views)
Book cover: Relativistic Kinetic Theory: An IntroductionRelativistic Kinetic Theory: An Introduction
by - arXiv
A brief introduction to the relativistic kinetic theory of gases with emphasis on the underlying geometric and Hamiltonian structure of the theory. We start with a discussion on the tangent bundle of a Lorentzian manifold of arbitrary dimension...
(7569 views)
Book cover: An Introduction to Monte Carlo Simulations in Statistical PhysicsAn Introduction to Monte Carlo Simulations in Statistical Physics
by - arXiv
A brief introduction to the technique of Monte Carlo simulations in statistical physics. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, etc.
(11623 views)