On approximating two distributions from a single complex-valued function
classification
🧮 math-ph
math.MP
keywords
distributionsapproximatingalgorithmcomplex-valuedfunctionproblemsingleaccuracy
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We consider the problem of approximating two, possibly unrelated probability distributions from a single complex-valued function $\psi$ 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 $\psi$ and provide examples of approximating several pairs of distributions using the algorithm.
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