Two-parameter Stochastic Processes With Finite Variation by Charles Lindsey (Eng

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Two-parameter Stochastic Processes With Finite Variation by Charles Lindsey

Abstract: Let E be a Banach space with norm -, and f: R2+ ?E a function with finite variation. Properties of the variation are studied, and an associated increasing real-valued function f is defined. Sufficient conditions are given for f to have properties analogous to those of functions of one variable. A correspondence f f between such functions and E-valued Borel measures on R2+ is established, and the equality f = ?f is proved. Correspondences between E-valued two-parameter processes with finite variation and E-valued stochastic measures with finite variation are established. The case where takes values in L(E, F) (F a Banach space) is studied, and it is shown that the associated measure ?x takes values in L(E, F"); some sufficient conditions for y to be L(E, F)-valued are given. Similar results for the converse problem are established, and some conditions sufficient for the equality = ?x are given. Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "Two-parameter Stochastic Processes With Finite Variation" by Charles Lindsey, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.

FORMAT
Paperback LANGUAGE
English CONDITION
Brand New Details ISBN053000514X ISBN-10 053000514X ISBN-13 9780530005140 Format Paperback Pages 160 Language English Year 2019 Publication Date 2019-05-31 Author Charles Lindsey Publisher Dissertation Discovery Company UK Release Date 2019-05-31 Imprint Dissertation Discovery Company Audience General Country of Origin US Product Class Description Mathematics
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