Left-inverses of fractional Laplacian and sparse stochastic processes

    Authors

    Q. Y. Sun;M. Unser

    Comments

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    Abbreviated Journal Title

    Adv. Comput. Math.

    Keywords

    Fractional Laplacian; Riesz potential; Impulsive Poisson noise; Fractional stochastic process; Stochastic partial differential operator; FRACTAL PROCESSES; Mathematics, Applied

    Abstract

    The fractional Laplacian (-Delta)(gamma/2) commutes with the primary coordination transformations in the Euclidean space Rd: dilation, translation and rotation, and has tight link to splines, fractals and stable Levy processes. For 0 < gamma < d, its inverse is the classical Riesz potential I-gamma which is dilationinvariant and translation-invariant. In this work, we investigate the functional properties (continuity, decay and invertibility) of an extended class of differential operators that share those invariance properties. In particular, we extend the definition of the classical Riesz potential I-gamma to any noninteger number. larger than d and show that it is the unique left-inverse of the fractional Laplacian (-Delta)(gamma/2) which is dilation-invariant and translationinvariant. We observe that, for any 1 = p=8 and. = d(1 -1/ p), there exists a Schwartz function f such that I. f is not p-integrable. We then introduce the new unique left-inverse I-gamma,I- p of the fractional Laplacian (-Delta)(gamma/2) with the property that I., p is dilation-invariant (but not translation-invariant) and that I-gamma,I- p f is p-integrable for any Schwartz function f. We finally apply that linear operator I-gamma,I- p with p = 1 to solve the stochastic partial differential equation (-Delta)(gamma/2) Phi = w with white Poisson noise as its driving term w.

    Journal Title

    Advances in Computational Mathematics

    Volume

    36

    Issue/Number

    3

    Publication Date

    1-1-2012

    Document Type

    Article

    Language

    English

    First Page

    399

    Last Page

    441

    WOS Identifier

    WOS:000301541100001

    ISSN

    1019-7168

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