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Rough path theory and applications t...
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Friz, Peter K.
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Rough path theory and applications to stochastic analysis.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Rough path theory and applications to stochastic analysis./
Author:
Friz, Peter K.
Description:
120 p.
Notes:
Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6113.
Contained By:
Dissertation Abstracts International64-12B.
Subject:
Mathematics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3114191
ISBN:
0496616846
Rough path theory and applications to stochastic analysis.
Friz, Peter K.
Rough path theory and applications to stochastic analysis.
- 120 p.
Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6113.
Thesis (Ph.D.)--New York University, 2004.
Rough Path Theory a la Terry Lyons is a purely deterministic theory of differential equations driven by signals of very little regularity. In particular, it applies to Stochastic Differential Equations driven by Brownian Motion and allows powerf
ISBN: 0496616846Subjects--Topical Terms:
515831
Mathematics.
Rough path theory and applications to stochastic analysis.
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Friz, Peter K.
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Rough path theory and applications to stochastic analysis.
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120 p.
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Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6113.
500
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Adviser: S. R. S. Varadhan.
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Thesis (Ph.D.)--New York University, 2004.
520
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Rough Path Theory a la Terry Lyons is a purely deterministic theory of differential equations driven by signals of very little regularity. In particular, it applies to Stochastic Differential Equations driven by Brownian Motion and allows powerf
520
$a
In essence; Brownian Motion and Levy-area (Enhanced Brownian Motion) are identified as correct driving signals of SDEs. In addition. Lyons proved a continuity statement (Universal, Limit Theorem) in a p-variation-type topology.
520
$a
We find that a more natural Holder-continuity follows from fine estimates in his work. A number of approximations to EBM are studied and they lead to a new straightforward proof of the classical Stroock-Varadhan Support Theorem for diffusions.
520
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We also consider Large Deviations for EBM and construct exponentially good approximations based on Subriemannian Geodesics.
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School code: 0146.
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Mathematics.
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New York University.
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Varadhan, S. R. S.,
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2004
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3114191
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