Let us use white noise:
"Why should we use white noise analysis? Well, one reason of course is that it fills that earlier gap in the tool kit. As Hida would put it, white noise provides us with a useful set of independent coordinates, parametrized by "time". And there is a feature which makes white noise ana...
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Singapore
World Scientific Publishing Co. Pte Ltd.
c2017
|
Schlagworte: | |
Online-Zugang: | FHN01 Volltext |
Zusammenfassung: | "Why should we use white noise analysis? Well, one reason of course is that it fills that earlier gap in the tool kit. As Hida would put it, white noise provides us with a useful set of independent coordinates, parametrized by "time". And there is a feature which makes white noise analysis extremely user-friendly. Typically the physicist — and not only he — sits there with some heuristic ansatz, like e.g. the famous Feynman "integral", wondering whether and how this might make sense mathematically. In many cases the characterization theorem of white noise analysis provides the user with a sweet and easy answer. Feynman's "integral" can now be understood, the "It's all in the vacuum" ansatz of Haag and Coester is now making sense via Dirichlet forms, and so on in many fields of application. There is mathematical finance, there have been applications in biology, and engineering, many more than we could collect in the present volume. Finally, there is one extra benefit: when we internalize the structures of Gaussian white noise analysis we will be ready to meet another close relative. We will enjoy the important similarities and differences which we encounter in the Poisson case, championed in particular by Y Kondratiev and his group. Let us look forward to a companion volume on the uses of Poisson white noise. The present volume is more than a collection of autonomous contributions. The introductory chapter on white noise analysis was made available to the other authors early on for reference and to facilitate conceptual and notational coherence in their work."--Publisher's website |
Beschreibung: | Title from PDF file title page (viewed March 17, 2017) |
Beschreibung: | 1 online resource (230 p.) ill |
ISBN: | 9789813220942 |
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id | DE-604.BV044637551 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:57:51Z |
institution | BVB |
isbn | 9789813220942 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030035523 |
oclc_num | 1012735319 |
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owner | DE-92 |
owner_facet | DE-92 |
physical | 1 online resource (230 p.) ill |
psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | World Scientific Publishing Co. Pte Ltd. |
record_format | marc |
spelling | Let us use white noise editors, T. Hida, L. Streit Singapore World Scientific Publishing Co. Pte Ltd. c2017 1 online resource (230 p.) ill txt rdacontent c rdamedia cr rdacarrier Title from PDF file title page (viewed March 17, 2017) "Why should we use white noise analysis? Well, one reason of course is that it fills that earlier gap in the tool kit. As Hida would put it, white noise provides us with a useful set of independent coordinates, parametrized by "time". And there is a feature which makes white noise analysis extremely user-friendly. Typically the physicist — and not only he — sits there with some heuristic ansatz, like e.g. the famous Feynman "integral", wondering whether and how this might make sense mathematically. In many cases the characterization theorem of white noise analysis provides the user with a sweet and easy answer. Feynman's "integral" can now be understood, the "It's all in the vacuum" ansatz of Haag and Coester is now making sense via Dirichlet forms, and so on in many fields of application. There is mathematical finance, there have been applications in biology, and engineering, many more than we could collect in the present volume. Finally, there is one extra benefit: when we internalize the structures of Gaussian white noise analysis we will be ready to meet another close relative. We will enjoy the important similarities and differences which we encounter in the Poisson case, championed in particular by Y Kondratiev and his group. Let us look forward to a companion volume on the uses of Poisson white noise. The present volume is more than a collection of autonomous contributions. The introductory chapter on white noise analysis was made available to the other authors early on for reference and to facilitate conceptual and notational coherence in their work."--Publisher's website White noise theory Stochastic analysis Stationary processes Electronic books Weißes Rauschen (DE-588)4189502-2 gnd rswk-swf Stationärer Prozess (DE-588)4056989-5 gnd rswk-swf Stochastische Analysis (DE-588)4132272-1 gnd rswk-swf Weißes Rauschen (DE-588)4189502-2 s Stationärer Prozess (DE-588)4056989-5 s Stochastische Analysis (DE-588)4132272-1 s 1\p DE-604 Hida, Takeyuki 1927- Sonstige oth Streit, Ludwig 1938- Sonstige oth http://www.worldscientific.com/worldscibooks/10.1142/10472#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Let us use white noise White noise theory Stochastic analysis Stationary processes Electronic books Weißes Rauschen (DE-588)4189502-2 gnd Stationärer Prozess (DE-588)4056989-5 gnd Stochastische Analysis (DE-588)4132272-1 gnd |
subject_GND | (DE-588)4189502-2 (DE-588)4056989-5 (DE-588)4132272-1 |
title | Let us use white noise |
title_auth | Let us use white noise |
title_exact_search | Let us use white noise |
title_full | Let us use white noise editors, T. Hida, L. Streit |
title_fullStr | Let us use white noise editors, T. Hida, L. Streit |
title_full_unstemmed | Let us use white noise editors, T. Hida, L. Streit |
title_short | Let us use white noise |
title_sort | let us use white noise |
topic | White noise theory Stochastic analysis Stationary processes Electronic books Weißes Rauschen (DE-588)4189502-2 gnd Stationärer Prozess (DE-588)4056989-5 gnd Stochastische Analysis (DE-588)4132272-1 gnd |
topic_facet | White noise theory Stochastic analysis Stationary processes Electronic books Weißes Rauschen Stationärer Prozess Stochastische Analysis |
url | http://www.worldscientific.com/worldscibooks/10.1142/10472#t=toc |
work_keys_str_mv | AT hidatakeyuki letususewhitenoise AT streitludwig letususewhitenoise |