Abstract
This chapter deals with applications of the group analysis method to stochastic differential equations. These equations are often obtained by including random fluctuations in differential equations, which have been deduced from phenomenological or physical view. In contrast to deterministic differential equations, only few attempts to apply group analysis to stochastic differential equations can be found in the literature. It is worth to note that this theory is still developing.
Before defining an admitted symmetry for stochastic differential equations an introduction into the theory of this type of equations is given. The introduction includes the discussion of a stochastic integration, a stochastic differential and a change of the variables (Itô formula) in stochastic differential equations. Applications of the Itô formula are considered in the next section which deals with the linearization problem. The Itô formula and the change of time in stochastic differential equations are the main tools of defining admitted transformations for them. After introducing an admitted Lie group and supporting material of the introduced definition, some examples of applications of the given definition are studied.
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Notes
- 1.
A stochastic process depends on two variables X=X(t,ω); the second variable ω usually is omitted.
- 2.
The proofs can be found, for example, in [2].
- 3.
Summation over the repeated indices is assumed.
- 4.
Notice that the function η(t,x,b) also depends on x and b.
- 5.
- 6.
- 7.
Details and references can be found therein.
- 8.
Considering h=h(t,x,b) this generalization can be extended including the Brownian motion B t into the transformation.
- 9.
- 10.
Unfortunately one of sufficient conditions is missing in [33].
- 11.
Details and references one can find in [21].
- 12.
- 13.
The admitted Lie algebra of (5.5.20) is infinite dimensional.
- 14.
Here signs and scaling these constants are chosen for further convenience.
- 15.
- 16.
Other terms of the expansion are cumbersome and not presented here.
- 17.
In [8] the constant c 0 is mistakenly kept.
- 18.
Using symbolic calculations on computer we checked equations \(\frac{\partial ^{k}S}{\partial a^{k}}(t,x,0)=0\) (k≤7). It is likely that this identity holds for all large k.
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Grigoriev, Y.N., Ibragimov, N.H., Kovalev, V.F., Meleshko, S.V. (2010). Symmetries of Stochastic Differential Equations. In: Symmetries of Integro-Differential Equations. Lecture Notes in Physics, vol 806. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3797-8_5
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