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{{Differential equations}}
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'''Stochastic partial differential equations (SPDEs)''' are similar to ordinary [[stochastic differential equations]]. They are essentially [[partial differential equations]] that have random forcing terms and coefficients.  They can be exceedingly difficult to solve.  However, they have strong connections with [[quantum field theory]] and [[statistical mechanics]].
 
One difficulty encountered when dealing with stochastic PDEs is their lack of regularity. For example, one of the most classical SPDEs
is given by the stochastic heat equation which can formally be written as
 
:<math>
\partial_t u = \Delta u + \xi\;,
</math>
 
where <math>\xi</math> denotes space-time white noise and <math>\Delta</math> is the [[Laplacian]].
In one space dimension, solutions to this equation are only almost 1/2-Hölder continuous in space and 1/4-Hölder continuous in time.
For dimensions two and higher, solutions are not even function-valued, but can be made sense of as random [[Distribution (mathematics)|distributions]].
 
== See also ==
* [[Kardar–Parisi–Zhang equation]]
* [[Zakai equation]]
* [[Kushner equation]]
 
[[Category:Stochastic differential equations]]
[[Category:Partial differential equations]]
 
 
{{applied-math-stub}}

Latest revision as of 20:11, 1 January 2015

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