Exponential function keeps popping up every where stochastic analysis. However it has a crucial property which is often exploited during the analysis. The property I'm referring to is R(X+Y) = R(Y)R(Y) (e.g. X and Y) could be random variables). Now I prove a strong statement " R(X+Y) = R(X)R(Y) If and Only If R(x) = e-μt where μ is some constant. The reverse direction (<==) is trivial because we can easily verify the fact by substituting R(x) with e-μt. In the following we prove that other direction (==>).
One may wonder how about function ax which also satisfies the semi-group property by inspection. However the μ takes care of that observe that ax = eln(a)x.
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