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How to use white noise analysis to make Feynman integrals mathematically rigorous
Technische Universität Kaiserslautern, Germany.ORCID iD: 0000-0002-8400-0416
2017 (English)In: Let us use white noise / [ed] T Hida and L Streit, World Scientific, 2017, p. 67-115Chapter in book (Other academic)
Abstract [en]

In this chapter we summarize applications of White Noise Analysis within the framework of Feynman Path Integrals. With more than 30 years of intensive study this field can be seen as one of the most important applications. Of course this chapter cannot give an exhaustive summary of all approaches to different path integrals in White Noise Analysis. Here we give a slice through different attemtps to path integrals in the White Noise framework. 

Place, publisher, year, edition, pages
World Scientific, 2017. p. 67-115
National Category
Probability Theory and Statistics
Research subject
Mathematics, Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-124544DOI: 10.1142/9789813220942_0003Scopus ID: 2-s2.0-85059499255ISBN: 9789813220942 (print)ISBN: 9789813220959 (electronic)OAI: oai:DiVA.org:lnu-124544DiVA, id: diva2:1802871
Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2023-10-18Bibliographically approved

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Bock, Wolfgang

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Probability Theory and Statistics

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CiteExportLink to record
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