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In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic functions. This book presents a modern survey of these methods at the level of a beginning PhD student. Highlights include the construction of the Martin boundary, probabilistic proofs of the boundary Harnack principle, Dahlberg's theorem, a probabilistic proof of Riesz's theorem on the Hilbert transform, and Makarov's theorems on the support of harmonic measure. The author assumes that the reader has some background in basic real analysis, but the book includes proofs of all results from probability theory and advanced analysis required. Each chapter concludes with exercises ranging from the routine to the difficult. In addition, there are discussions of open problems and further avenues of research.
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Probabilistic techniques in analysis Richard F. Bass.
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New York, Springer [1995]., 1995
ISBN 10: 0387943870
ISBN 13: 9780387943879
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 BAS 9780387943879 Sprache: Englisch Gewicht in Gramm: 1150. Codice articolo 2505119
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Probabilistic Techniques in Analysis. (= Probability and Its Applications).
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Springer, New York a.o., 1995
ISBN 10: 0387943870
ISBN 13: 9780387943879
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392 pp. with 12 Illustraions, 0387943870 Sprache: Englisch Gewicht in Gramm: 740 Groß 8°, Original-Pappband (Hardcover), Bibliotheks-Exemplar (ordnungsgemäß entwidmet) mit leichten Kleberesten vom Rückenschild, Stempel auf Titel, Rücken leicht aufgehellt, Buchblock minimal leseschief, insgesamt gutes und innen sauberes Exemplar, Codice articolo 81732
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Probabilistic Techniques in Analysis (Probability and Its Applications)
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Probabilistic Techniques in Analysis
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Springer, Chapman And Hall/CRC Dez 1994, 1994
ISBN 10: 0387943870
ISBN 13: 9780387943879
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic functions. This book presents a modern survey of these methods at the level of a beginning Ph.D. student. Highlights of this book include the construction of the Martin boundary, probabilistic proofs of the boundary Harnack principle, Dahlberg's theorem, a probabilistic proof of Riesz' theorem on the Hilbert transform, and Makarov's theorems on the support of harmonic measure.The author assumes that a reader has some background in basic real analysis, but the book includes proofs of all the results from probability theory and advanced analysis required. Each chapter concludes with exercises ranging from the routine to the difficult. In addition, there are included discussions of open problems and further avenues of research. 408 pp. Englisch. Codice articolo 9780387943879
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic. Codice articolo 5911992
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic functions. This book presents a modern survey of these methods at the level of a beginning Ph.D. student. Highlights of this book include the construction of the Martin boundary, probabilistic proofs of the boundary Harnack principle, Dahlberg's theorem, a probabilistic proof of Riesz' theorem on the Hilbert transform, and Makarov's theorems on the support of harmonic measure.The author assumes that a reader has some background in basic real analysis, but the book includes proofs of all the results from probability theory and advanced analysis required. Each chapter concludes with exercises ranging from the routine to the difficult. In addition, there are included discussions of open problems and further avenues of research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 408 pp. Englisch. Codice articolo 9780387943879
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