An application of the stationary phase method in estimating probability densities of function derivatives

Details An application of the stationary phase method in estimating probability densities of function derivatives An application of the stationary phase method in estimating probability densities of function derivatives

2011-08-08

arxiv.org/abs/1108.1783v2

Statistics

Machine Learning

Scientific paper

We prove a novel result wherein the density function of the gradients---corresponding to density function of the derivatives in one dimension---of a thrice differentiable function S (obtained via a random variable transformation of a uniformly distributed random variable) defined on a closed, bounded interval \Omega \subset R is accurately approximated by the normalized power spectrum of \phi=exp(iS/\tau) as the free parameter \tau-->0. The result is shown using the well known stationary phase approximation and standard integration techniques and requires proper ordering of limits. Experimental results provide anecdotal visual evidence corroborating the result.

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