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Journal ArticleDOI

Relationships between measures induced by Itô and white noise linear equations

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TLDR
In this article, it was shown that the Ito and white noise approach produce essentially the same measures as the Gaussian measures for C and L 2 and applied to the theory of stochastic differential equations.
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This article is published in Mathematics and Computers in Simulation.The article was published on 1984-08-01. It has received 1 citations till now. The article focuses on the topics: Stochastic partial differential equation & Additive white Gaussian noise.

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Journal ArticleDOI

On Powers of Gaussian White Noise

TL;DR: It is shown that a renormalization and centering of powers of band-limited Gaussian processes is Gaussian white noise, and, as a consequence, homogeneous polynomials under suitable renormalized processes remain white noises.
References
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Book

Linear estimation and stochastic control

TL;DR: Linear estimation theory. Hilbert space. Othogonal increments processes. Stochastic linear regulator. Separation principle. Linear stochastic control and dynamic programming as discussed by the authors.
Book

Gaussian Random Processes

TL;DR: In this paper, the authors define a set of conditions for absolute regularity and information regularity of Stationary Random Processes in a Euclidean space, and a special class of stationary processes with continuous time.
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