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Norvidas Saulius - One of the best experts on this subject based on the ideXlab platform.
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A note on analytic continuation of characteristic Functions
2020Co-Authors: Norvidas SauliusAbstract:We derive necessary and sufficient conditions for a Continuous Bounded Function $f: R\to C$ to be a characteristic Function of a probability measure. The Cauchy transform $K_f$ of $f$ is used as analytic continuation of $f$ to the upper and lower half-planes in $C$. The conditions depend on the behavior of $K_f(z)$ and its derivatives on the imaginary axis in $C$. The main results are given in terms of completely monotonic and absolutely monotonic Functions.Comment: 6 page
Saulius Norvidas - One of the best experts on this subject based on the ideXlab platform.
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on analytic continuation of characteristic Functions of probability measures
Journal of Mathematical Analysis and Applications, 2012Co-Authors: Saulius NorvidasAbstract:Abstract We derive necessary and sufficient conditions for a Continuous Bounded Function f : R → C to be a characteristic Function of a probability measure. The Cauchy transform K f of f is used as analytic continuation of f to the upper and lower half-planes in C . The conditions depend on the behavior of K f ( z ) and its derivatives on the imaginary axis in C . The main results are given in terms of completely monotonic and absolutely monotonic Functions.
N V Demina - One of the best experts on this subject based on the ideXlab platform.
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asymptotic solution of the linearized morgenstern equation for small knudsen numbers
Computational Mathematics and Modeling, 1992Co-Authors: N V DeminaAbstract:is the unit vector running over the sphere f f in R 3, ~ l = g o (co, g '--~), ll '-~-g'--o (o, g '--g), 0 = -¢ (o, g'--.~), p = [g'--~i, B(p, 0) characterizes the law of molecular interaction, and h(x, y) is a Continuous Bounded Function that satisfies the conditions h(x, y) = h(y, x) _> 0, h(x, x) > 0. QM(F, F) is an operator that acts on the variables x and ~2 and is formally identical with the Boltzmann collision integral [2] if h = a(x y), where ~ is the Dirac delta-Function. In what follows we assume that the molecules interact as "rigid balls" and the Function B(p, 0) has the form
Ryan Peckner - One of the best experts on this subject based on the ideXlab platform.
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m obius disjointness for homogeneous dynamics
arXiv: Number Theory, 2015Co-Authors: Ryan PecknerAbstract:We prove Sarnak's Mobius disjointness conjecture for all unipotent translations on homogeneous spaces of real connected Lie groups. Namely, we show that if $G$ is any such group, $\Gamma\subset G$ a lattice, and $u\in G$ an Ad-unipotent element, then for every $x\in\Gamma\backslash G$ and every Continuous, Bounded Function $f$ on $\Gamma\backslash G$, the sequence $f(xu^{n})$ cannot correlate with the Mobius Function on average.
Wenhua Chen - One of the best experts on this subject based on the ideXlab platform.
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robust adaptive neural network synchronization controller design for a class of time delay uncertain chaotic systems
Chaos Solitons & Fractals, 2009Co-Authors: Mou Chen, Wenhua ChenAbstract:Abstract In this paper, a robust adaptive neural network synchronization controller is proposed for two chaotic systems with input time delay and uncertainty. The studied chaotic system may possess a wide class of nonlinear time-delayed input uncertainty. The radial basis Function (RBF) neural network is used to approximate the unknown Continuous Bounded Function item of the time delay uncertainty via appropriate weight value updated law. With the output of RBF neural network, a robust adaptive synchronization control scheme is presented for the time delay uncertain chaotic system. Finally, a simulation example is used to illustrate the effectiveness of the proposed synchronization control scheme.