A01=Hui-Hsiung Kuo
Abstract Wiener Space
advanced white noise integration techniques
Author_Hui-Hsiung Kuo
bilinear
Bilinear Pairing
Category=PBKB
Category=PBT
Category=PBW
Complex Hilbert Space
continuous
Continuous Linear Operator
distributional methods
Dual Space
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Feynman Integrals
Fock Space Representation
functional analysis
Gaussian processes
Hermite Polynomial
Hida Measure
hilbert
Hilbert Schmidt Operator
Hilbert Space
inductive
Inductive Limit Topology
Infinite Dimensional
Infinite Dimensional Analysis
Infinite Dimensional Space
limit
linear
Nuclear Space
operator
operator theory
pairing
Real Separable Hilbert Space
Riesz Representation Theorem
S-transform applications
schmidt
Standard Gaussian Measure
stochastic calculus
Strong Topology
Topological Vector Space
topology
Trace Class Operator
Unique Probability Measure
Weak Topology
White Noise Analysis
Product details
- ISBN 9780849380778
- Weight: 739g
- Dimensions: 156 x 234mm
- Publication Date: 17 Apr 1996
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Learn the basics of white noise theory with White Noise Distribution Theory. This book covers the mathematical foundation and key applications of white noise theory without requiring advanced knowledge in this area. This instructive text specifically focuses on relevant application topics such as integral kernel operators, Fourier transforms, Laplacian operators, white noise integration, Feynman integrals, and positive generalized functions. Extremely well-written by one of the field's leading researchers, White Noise Distribution Theory is destined to become the definitive introductory resource on this challenging topic.
Hui-Hsiung Kuo
