Results 11 to 20 of about 15,808 (165)
A representation free quantum stochastic calculus [PDF]
Journal of Functional Analysis, 1992 The purpose of quantum stochastic calculus is the behaviour of quantum systems driven by the usual interactions of quantum physics, and by a ``quantum noise''. In classical probability, one first studied the Wiener (Brownian) noise and the corresponding stochastic differential equations, then the Poisson noises, then martingale and semimartingale ...
ACCARDI, L. +3 more
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A stochastic fractional Laplace equation driven by colored noise on bounded domain, and its covariance functional [PDF]
, 2022 The paper provides conditions for the fractional Laplacian and its spectral representation on stationary Gaussian random fields to be well-defined. In addition, we study existence and uniqueness of the weak solution for a stochastic fractional elliptic ...
Porcu, Emilio +2 more
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Boson Fock Representations of Stochastic Processes [PDF]
Mathematical Notes, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ACCARDI, LUIGI, Hida, T, Htay, W. W.
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Space representation of stochastic processes with delay [PDF]
Physical Review E, 2008 6 pages, 8 ...
Dahmen, Silvio R. +2 more
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Spatial Characterization of Electromagnetic Random Channels
IEEE Open Journal of the Communications Society, 2022 The majority of stochastic channel models rely on the electromagnetic far-field assumption, which allows to decompose the channel in terms of plane waves.
Andrea Pizzo +2 more
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Advances in Mathematical Physics, 2020 In this paper, we mainly study the solution and properties of the multiterm time-fractional diffusion equation. First, we obtained the stochastic representation for this equation, which turns to be a subordinated process.
Longjin Lv, Luna Wang
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Stochastic analysis of Gaussian processes via Fredholm representation [PDF]
, 2016 We show that every separable Gaussian process with integrable variance function admits a Fredholm representation with respect to a Brownian motion. We extend the Fredholm representation to a transfer principle and develop stochastic analysis by using it.
Viitasaari, Lauri +3 more
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Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications
Sensors, 2020 In recent years, a series of matching pursuit and hard thresholding algorithms have been proposed to solve the sparse representation problem with ℓ0-norm constraint.
Fanhua Shang +5 more
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Set-Valued Stochastic Lebesque Integral and Representation Theorems [PDF]
International Journal of Computational Intelligence Systems, 2008 In this paper, we shall firstly illustrate why we should introduce set-valued stochastic integrals, and then we shall discuss some properties of set-valued stochastic processes and the relation between a set-valued stochastic process and its selection ...
Jungang Li, Shoumei Li
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How to differentiate a quantum stochastic cocycle. [PDF]
, 2010 Two new approaches to the infinitesimal characterisation of quantum stochastic cocycles are reviewed. The first concerns mapping cocycles on an operator space and demonstrates the role of H\"older continuity; the second concerns contraction operator ...
Lindsay, J Martin +2 more
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