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Extension of Positive-Definite Distributions and Maximum Entropy
 
Extension of Positive-Definite Distributions and Maximum Entropy
eBook ISBN:  978-1-4704-0066-8
Product Code:  MEMO/102/489.E
List Price: $36.00
MAA Member Price: $32.40
AMS Member Price: $21.60
Extension of Positive-Definite Distributions and Maximum Entropy
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Extension of Positive-Definite Distributions and Maximum Entropy
eBook ISBN:  978-1-4704-0066-8
Product Code:  MEMO/102/489.E
List Price: $36.00
MAA Member Price: $32.40
AMS Member Price: $21.60
  • Book Details
     
     
    Memoirs of the American Mathematical Society
    Volume: 1021993; 94 pp
    MSC: Primary 42; Secondary 46

    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.

    Readership

    Research Mathematicians.

  • Table of Contents
     
     
    • Chapters
    • 1. The discrete case
    • 2. Positive-definite distributions on an interval $(-A, A)$
    • 3. The non-degenerate case
    • 4. A closure problem in $L^2_\mu (\hat {\mathbb {R}})$
    • 5. Entropy maximizing measures in $\mathcal {M}_A(Q)$
    • 6. Uniqueness of the extension
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Permission – for use of book, eBook, or Journal content
    Accessibility – to request an alternate format of an AMS title
Volume: 1021993; 94 pp
MSC: Primary 42; Secondary 46

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.

Readership

Research Mathematicians.

  • Chapters
  • 1. The discrete case
  • 2. Positive-definite distributions on an interval $(-A, A)$
  • 3. The non-degenerate case
  • 4. A closure problem in $L^2_\mu (\hat {\mathbb {R}})$
  • 5. Entropy maximizing measures in $\mathcal {M}_A(Q)$
  • 6. Uniqueness of the extension
Review Copy – for publishers of book reviews
Permission – for use of book, eBook, or Journal content
Accessibility – to request an alternate format of an AMS title
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