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Discrete stochastic variables

Reaction Rate Theory and Rare Events Simulations, Page: 363-401
2017
  • 3
    Citations
  • 0
    Usage
  • 17
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    3
    • Citation Indexes
      3
      • CrossRef
        3
  • Captures
    17

Book Chapter Description

A stochastic process is the time evolution of a random variable or a collection of random variables. The range of all possible values is called the state space. Depending on the nature of a random variable, its state space may be continuous or discrete. Examples of discrete random variables in physical chemistry include the configurations of a lattice model, quantized vibrational energy levels, nodes of a network representing configurations of a protein, or integer numbers of species in a biochemical reaction network. Examples of continuous random variables include position along a dihedral angle coordinate or kinetic energies of gas molecules.

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