Extensions of positive-definite distributions and maximum entropy /

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Bibliographic Details
Author / Creator:Gabardo, Jean-Pierre, 1958-
Imprint:Providence, R.I. : American Mathematical Society, 1993.
Description:x, 94 p. ; 26 cm.
Language:English
Series:Memoirs of the American Mathematical Society no. 489
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1444078
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ISBN:0821825518
Notes:"March 1993, volume 102, number 489 (end of volume)."
Includes bibliographical references.
Description
Summary:In this work, the maximum entropy method is used to solve the extension problem associated with a positive-definite function, or distribution, defined on an interval of the real line. Garbardo computes explicitly the entropy maximizers corresponding to various logarithmic integrals depending on a complex parameter and investigates the relation to the problem of uniqueness of the extension. These results are based on a generalization, in both the discrete and continuous cases, of Burg's maximum entropy theorem.
Item Description:"March 1993, volume 102, number 489 (end of volume)."
Physical Description:x, 94 p. ; 26 cm.
Bibliography:Includes bibliographical references.
ISBN:0821825518