AM  Vol.1 No.6 , December 2010
On Approximating Two Distributions from a Single Complex-Valued Function
Abstract: We consider the problem of approximating two, possibly unrelated probability distributions from a single complex-valued function and its Fourier transform. We show that this problem always has a solution within a specified degree of accuracy, provided the distributions satisfy the necessary regularity conditions. We describe the algorithm and construction of and provide examples of approximating several pairs of distributions using the algorithm.
Cite this paper: nullW. Flanders and G. Japaridze, "On Approximating Two Distributions from a Single Complex-Valued Function," Applied Mathematics, Vol. 1 No. 6, 2010, pp. 439-445. doi: 10.4236/am.2010.16058.

[1]   J. von Neumann, “Mathematical Foundations of Quantum Mechanics,” Princeton University Press, Princeton, 1955.

[2]   W. Rudin, “Functional Analysis,” McGraw-Hill, New York, 1991.

[3]   F. Stenger, “Summary of Sinc Numerical Methods,” Journal of Computational and Applied Mathematics, Vol. 121, No. 1-2, September 2000, pp. 379-420.

[4]   P. L. Butzer, J. R. Higgins and R. L. Stens, “Classical and Approximate Sampling Theorems; Studies in the and the Uniform Norm,” Journal of Approximation Theory, Vol. 137, No. 2, December 2005, pp. 250-263.

[5]   J. M. Whittaker, “Interpolation Function Theory,” Cambridge Tracts in Mathematics and Mathematical Physics, No. 33, Cambridge University Press, Cambridge, 1935.

[6]   C. E. Shannon, “Communication in the Presence of Noise,” Proceedings of Institute of Radio Engineers, Vol. 37, No. 1, January 1949, pp. 10-21.

[7]   I. Doubechis, “Ten Lectures on Wavelets,” CBMS-NSF Regional Conference Series for Applied Mathematics, 1992.