Abstract
Classical mechanics usually ascribes a deterministic time evolution to the dynamic variables of a system. When this is not the case we can, in many cases, give probability distributions for the values of the variables, which, together with an ensemble interpretation of the probability, forms the basis for statistical methods in physics. When the time evolution of these distribution functions is known, the resulting structure is called a stochastic process. There is a vast mathematical literature on this field, and its importance for physics has grown continuously. The classical physical material can be found in Wax (1954).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Einstein, A., 1905, Ann. d. Physikm17, 549.
Landau, L.D. and Lifshitz, E.M., 1980, Course in Theoretical Physics, E.M. Lifshitz and L.P. Pitaevski,Statistical Physics, Part I, (Pergamon Press).
Schuss, Z., 1980,Theory and Applications of Stochastic Differential Equations (J. Wiley & Sons).
Wax, N., 1954,Noise and Stochastic Processes (Dover Inc.).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Plenum Press, New York
About this chapter
Cite this chapter
Stenholm, S. (1983). Introduction to Stochastic Processes. In: Meystre, P., Scully, M.O. (eds) Quantum Optics, Experimental Gravity, and Measurement Theory. NATO Advanced Science Institutes Series, vol 94. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3712-6_10
Download citation
DOI: https://doi.org/10.1007/978-1-4613-3712-6_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-3714-0
Online ISBN: 978-1-4613-3712-6
eBook Packages: Springer Book Archive