1,720,973 research outputs found

    Theory of the (m,σ)-general functions over infinite-dimensional Banach spaces

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    In this paper, we introduce some functions, called (m, σ)-general, that generalize the (m, σ)-standard functions and are defined in the infinite-dimensional Banach space E_I of the bounded real sequences {xn}n∈I, for some subset I of N*. Moreover, we recall the main results about the differentiation theory over E_I, and we expose some properties of the (m, σ)-general functions. Finally, we study the linear (m, σ)-general functions, by introducing a theory that generalizes the standard theory of the m × m matrices

    Convergence in total variation of an affine random recursion in [0,p)^k to a uniform random vector

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    We study the rate of convergence of the Markov chain Xn+1=AXn+Bn\mathbf{X}_{n+1}=A\mathbf{X}_{n}+\mathbf{B}_{n} (mod pp), where AA is an integer matrix with nonzero eigenvalues, pp is real and positive, and {Bn}\left\{ \mathbf{B}_{n}\right\} is a sequence of independent and identically distributed real random vectors. With some hypotheses on the law of Bn\mathbf{B}_{n}, the sequence {Xn}\left\{ \mathbf{X}_{n}\right\} converges to a random vector uniformly distributed in [0,p)k[0,p)^{k}. The rate of convergence is geometric and depends on AA, pp, kk, and the distribution of Bn\mathbf{B}_{n}. Moreover, if AA has an eigenvalue that is a root of 11, then n=O(p2)n=O\left( p^{2}\right) steps are necessary to have Xn\mathbf{X}_{n} sampling from a nearly uniform law

    Integration over an Infinite-Dimensional Banach Space and Probabilistic Applications

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    In this paper we study, for some subsets I of N^{∗}, the Banach space E of bounded real sequences {x_{n}}_{n∈I}. For any integer k, we introduce a measure over (E,B(E)) that generalizes the k-dimensional Lebesgue measure; consequently, also a theory of integration is defined. The main result of our paper is a change of variables formula for the integration

    Infinite-dimensional Gaussian change of variables’ formula

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    In this paper, we study the Banach space ∞ of the bounded real sequences, and a measure N(a, ) over (R∞ , B∞ ) analogous to the finite-dimensional Gaussian law. The main result of our paper is a change of variables’ formula for the integration, with respect to N(a, ), of the measurable real functions on (E∞, B∞ (E∞)), where E∞ is the separable Banach space of the convergent real sequences. This change of variables is given by some (m, σ) functions, defined over a subset of E∞, with values on E∞, with properties that generalize the analogous ones of the finite-dimensional diffeomorphisms

    Asymptotic behavior of an affine random recursion in (Z_p)^k defined by a matrix with an eigenvalue of size 1

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    In this paper we study the rate of convergence of the Markov chain XnC1 D AXn C Bn.mod p/, where A is an integer invertible matrix, and fBngn is a sequence of independent and identically distributed integer vectors. If A has an eigenvalue of size 1, then n D O.p2/ steps are necessary and sufficient to have Xn sampling from a nearly uniform distribution

    Differentiation Theory over Infinite-Dimensional Banach Spaces

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    In this paper we study, for any positive integer kk and for any subset\ II\ of \QTR{bf}{N}^{\ast }, the Banach space EIE_{I} of the bounded real sequences {xn}nI\left\{ x_{n}\right\} _{n\in I}, and a measure over \left( \QTR{bf}{R}^{I},\QTR{cal}{B}^{(I)}\right) that generalizes the kk-dimensional Lebesgue one. Moreover, we expose a differentiation theory for the functions defined over this space. The main result of our paper is a change of variables' formula for the integration of the measurable real functions on \left( \QTR{bf}{R}^{I},\QTR{cal}{B}^{(I)}\right) . This change of variables is defined by some infinite-dimensional functions with properties that generalize the analogous ones of the standard finite-dimensional diffeomorphisms

    Change of variables' formula for the integration of the measurable real functions over infinite-dimensional Banach spaces

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    In this paper we study, for any subset II of mathbfNastmathbf{N}^{ast} and for any strictly positive integer kk, the Banach space EIE_{I} of the bounded real sequences leftxnightninIleft{ x_{n} ight} _{nin I}, and a measure over left(mathbfRI,mathcalB(I)ight)left( mathbf{R}^{I},mathcal{B}^{(I)} ight) that generalizes the kk-dimensional Lebesgue one. Moreover, we recall the main results about the differentiation theory over EIE_{I}. The main result of our paper is a change of variables' formula for the integration of the measurable real functions on left(mathbfRI,mathcalB(I)ight)left( mathbf{R}^{I},mathcal{B}^{(I)} ight) . This change of variables is defined by some functions over an open subset of EJE_{J}, with values on EIE_{I}, called left(m,sigmaight)left( m,sigma ight) -general, with properties that generalize the analogous ones of the finite-dimensional diffeomorphisms

    Generating uniform random vectors in (Z_p)^k: the general case

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    We consider the rate of convergence of the Markov chain Xn+1 = AXn + Bn (modp), where A is an integer matrix with nonzero eigenvalues, and {Bn}n is a sequence of independent and identically distributed integer vectors, with support not parallel to a proper subspace of Qk invariant under A. If |λi | =1 for all eigenvalues λi of A, then n = O((ln p)2) steps are sufficient and n = O(ln p) steps are necessary to have Xn sampling from a nearly uniform distribution. Conversely, if A has the eigenvalues λi that are roots of positive integer numbers, |λ1| = 1 and |λi | > 1 for all i = 1, then O(p2) steps are necessary and sufficient

    Asymptotic orderings and approximations of the Master kinetic equation for large hard spheres systems

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    In this paper the problem is posed of determining the physically-meaningful asymptotic orderings holding for the statistical description of a large NN-body system of hard spheres,QTR{it}{ i.e.,} formed by Nequivrac1arepsilonNequiv rac{1}{arepsilon } gg1gg 1 particles, which are allowed to undergo instantaneous and purely elastic unary, binary or multiple collisions. Starting point is the axiomatic treatment recently developed [Tessarotto QTR{it}{et al}., 2013-2016] and the related discovery of an exact kinetic equation realized by Master equation which advances in time the 11-body probability density function (PDF) for such a system. As shown in the paper the task involves introducing appropriate asymptotic orderings in terms of arepsilonarepsilon for all the physically-relevant parameters. The goal is that of identifying the relevant physically-meaningful asymptotic approximations applicable for the Master kinetic equation, together with their possible relationships with the Boltzmann and Enskog kinetic equations, and holding in appropriate asymptotic regimes. These correspond either to dilute or dense systems and are formed either by small--size or finite-size identical hard spheres, the distinction between the various cases depending on suitable asymptotic orderings in terms of $arepsilon .
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