An elementary proof for an extended version of the Choquet-Deny theorem
The Choquet-Deny theorem on an integral equation is extended using an elementary technique based on a certain inequality for exchangeable random variables. Previous proofs for partial results have involved amongst other things the Hewitt-Savage zero-one law and the martingale convergence theorem. In view of the importance of the Choquet-Deny theorem in stochastic processes and allied topics, the new result and its proof appear to be worth reporting.
Year of publication: |
1991
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Authors: | Rao, C. Radhakrishna ; Shanbhag, D. N. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 38.1991, 1, p. 141-148
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Publisher: |
Elsevier |
Keywords: | Choquet-Deny theorem Hewitt-Savage zero-one law exchangeable random variables integrated Cauchy equation renewal theorem martingale convergence theorem |
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