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Feynman-Kac Formula

Probability and Statistics

The Feynman-Kac Formula, named for Richard Feynman and Mark Kac, establishes a link between parabolic partial differential equations and stochastic processes, expressing the solution of certain such equations as an expected value taken over the paths of an associated random process. The formula arose in 1947 after Kac, hearing Feynman present his path-integral approach to quantum mechanics at Cornell University, realized the two of them were working on the same underlying idea from different directions, and it provides a rigorous real-valued counterpart to Feynman's heuristic path integrals. The corresponding complex-valued case needed directly in quantum mechanics remains, by the source's own account, an open question.

Facts
Classification
Statement Form
Identity or Equation 1
Proof Year
1949 1
Connections

Has Statement Form

Equation, Concepts
Identity, Concepts

In Branch

Source Feynman-Kac formula, Wikipedia
Sources
1. Feynman-Kac formula, Wikipedia
  • History
    When originally published by Kac in 1949, the formula was presented as a means for determining the distribution of certain Wiener functionals.
  • In Branch: Differential Equations, Lead sentence
    Kac, establishes a link between parabolic partial differential equations and stochastic processes.
  • In Group: Stochastic Processes and Martingales, Lead section
    link between parabolic partial differential equations and stochastic processes. In 1947, when Kac and Feynman were both faculty
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