The Feynman-Kac formula represents solutions of certain parabolic partial differential equations as conditional expectations of functionals of a diffusion. It follows by applying Itô formula to the solution along the diffusion and taking expectations.
For and potential , the Feynman-Kac formula with initial value one gives . The Ornstein-Uhlenbeck likelihood relative to Wiener measure cancels the quadratic time integral, leaving a Gaussian endpoint integral. Completing the square gives the displayed answer for . It is finite for all nonnegative times when ; when the path expectation diverges at and beyond .
For a bounded domain, a bounded classical solution with boundary data , nonnegative bounded , bounded and integrable diffusion exit time satisfies
Apply the Itô product rule to the discounted stopped solution and add its source integral. The stopped martingale is dominated by , so dominated convergence permits passage to the exit. For , this is a boundary-value averaging principle for functions harmonic under .
For a nonexplosive diffusion process, bounded source , terminal data and nonnegative bounded potential , a bounded classical solution with is
The Itô product rule shows that the discounted solution plus its accumulated discounted source is a local martingale. Its deterministic finite-horizon bound upgrades it to a true martingale, giving the formula and uniqueness without a global derivative bound.
For a continuous Itô diffusion with diffusion generator , let solve with , be bounded on an open domain and its boundary, and equal on the boundary. Stop at the first boundary hit . The Itô formula makes a bounded martingale. Its limit is zero on and equals on . Thus
Boundedness justifies passage to the terminal expectation even if hitting is not almost surely finite.
For bounded and bounded initial data , a sufficiently regular classical solution bounded on every finite time slab satisfies
To prove this, the Itô formula and Itô product rule make a local martingale. Its deterministic bound on makes it a true martingale; taking expectations at the two endpoints gives the formula. This also gives uniqueness in the finite-horizon bounded class. The exponent has the same sign as the potential in the equation.
Let be continuous, nonnegative, zero on , and strictly positive on . By continuity of Brownian paths, its occupation integral vanishes exactly on nonnegative paths. Dominated convergence gives the displayed limit. The Brownian reflection principle makes it for and zero for . In particular the limit at is zero for every positive time. The choice is a bounded soft killing potential.
For globally Lipschitz drift , couple and from the same point. The Gronwall inequality gives . Thus convergence is uniform on each finite horizon. The Feynman-Kac formula for generator has weight , with a positive sign. Bounded continuous is uniformly continuous on a compact neighbourhood of the deterministic trajectory, and bounded continuous supplies a deterministic integrable bound. The dominated convergence theorem proves the displayed limit without requiring global uniform continuity of .
Suppose bounded is bounded below by a positive constant on some nonempty open interval, and . The Feynman-Kac formula with a bounded potential gives . Infinite occupation time of one-dimensional Brownian motion makes that integral tend to infinity almost surely. The monotone convergence theorem then gives for every fixed . Thus no globally bounded classical solution exists under these hypotheses, although boundedness on every finite time slab is compatible with the conclusion.

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The Feynman-Kac theorem is a fundamental result in stochastic processes, particularly in the context of linking partial differential equations (PDEs) with stochastic processes, specifically Brownian motion. It provides a way to express the solution of a certain type of PDE in terms of expectations of functionals of stochastic processes, such as those arising from Brownian motion.