Probability theory and stochastic processes Definition
Kardar–Parisi–Zhang equation
Builds on Stochastic partial differential equationPartial derivativeCole–Hopf transformation
Definition
Let , and be constants. Let be a Gaussian space-time white noise on , that is, a centred Gaussian random distribution with formal covariance . The Kardar–Parisi–Zhang equation is the stochastic partial differential equation for a random function :
Remarks
The equation is formal: a solution is only Hölder continuous of every order less than in , so is not defined. For , a standard meaning is the Cole–Hopf solution , where solves the stochastic heat equation in the Itô sense; see Cole–Hopf transformation. Hairer's theory of regularity structures gives a solution theory that agrees with the Cole–Hopf solution, up to an infinite renormalization constant. Example: with the equation is linear, the additive stochastic heat equation, and its solution is a Gaussian process given by a stochastic convolution with the heat kernel. Non-example: the deterministic equation has no noise term, so it is not the KPZ equation; it is a viscous Hamilton–Jacobi equation.
Reading path
To understand this page from the ground up, read these 7 pages in order. The foundations come first.
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- no evidence level
- Cole–Hopf transformation concept
- Euclidean space object
- Function concept
- Stochastic partial differential equation concept
- Function of several variables concept
- Partial derivative concept
- Kardar–Parisi–Zhang equation definition
Further reading
About this page
| Tag | 4TKVXC9N46 |
|---|---|
| URI | m2://4TKVXC9N46 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 60H15, 35R60, 35Q82 |
| Defines | Kardar–Parisi–Zhang equation |
| Uses | Stochastic partial differential equation, Partial derivative, Cole–Hopf transformation |
| Changed | 2 November 2026 |
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