Random Processes

  • Alexander S. Mikhailov
  • Alexander Yu. Loskutov
Part of the Springer Series in Synergetics book series (SSSYN, volume 52)


When a deterministic description of a system is impossible, one can still use a statistical description based on the probabilities of observing particular outcomes. In the simplest case, only the probabilities of single random events are considered. However, in studies of dynamical phenomena it is often necessary to know the probabilities of entire sequences of random events that are not independent of one another. This description can be constructed within the mathematical theory of random processes.


Random Process Correlation Time Time Moment Pair Correlation Function Gaussian Random Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Alexander S. Mikhailov
    • 1
    • 2
  • Alexander Yu. Loskutov
    • 1
  1. 1.Department of PhysicsMoscow State UniversityMoscowUSSR
  2. 2.Institut für Theoretische Physik und SynergetikUniversität StuttgartStuttgart 80Fed. Rep. of Germany

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