4 edition of **Necessary and sufficient conditions for the uniform convergence of random trigonometric series** found in the catalog.

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Published
**1978** by Aarhus Universitet in [Aarhus, Denmark] .

Written in English

- Fourier series

**Edition Notes**

Statement | M.B. Marcus and G. Pisier |

Series | Aarhus Universitet. Matematisk Institut. Lecture notes series -- no. 50 |

Contributions | Pisier, G., joint author |

Classifications | |
---|---|

LC Classifications | QA404 .M373 |

The Physical Object | |

Pagination | 1 v. (various pagings) ; |

ID Numbers | |

Open Library | OL24932366M |

OCLC/WorldCa | 4248021 |

POLLABD, C o n v e r g e n c e of 8 t o c h a s t i c p r o ceases. (Springer series in statistics). SpringcrD.: Verlag, New York -Berlin - Heidelberg -Tokyo , pp., 36 illustr., DM 82,-. This book is an exposition of selected parts of empirical process theory and related facts about weak convergence with applications to Mathematical Statistics. It is divided into the following eight.

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An illustration of an open book. Books. An illustration of two cells of a film strip. Video An illustration of an audio speaker. Necessary and sufficient conditions for the uniform convergence of random trigonometric series Item Preview remove-circlePages: Get this from a library.

Necessary and sufficient conditions for the uniform convergence of random trigonometric series. [Michael B Marcus; G Pisier]. Necessary and Sufficient Conditions for the Uniform Convergence of Means to their Expectations.

Article Data. History. IOP Conference Series: Materials Science and EngineeringClosure properties of uniform convergence of empirical means and PAC learnability under a family of probability by: Necessary and sufficient conditions for the uniform convergence of random trigonometric series by Michael B.

Marcus,Aarhus Universitet edition, in English. Some types of convergence related to the reconstruction property in Banach spaces Khattar, G.

and Vashisht, L. K., Banach Journal of Mathematical Analysis, ; Necessary and Sufficient Conditions for Sample Continuity of Random Fourier Series and of Harmonic Infinitely Divisible Processes Talagrand, M., Annals of Probability, Uniform convergence of random Fourier series Introduction We study the uniform convergence of the random trigonometric series,~=0 a,q, cos (nt + 4',) () where {t/, e i*-} is a sequence of independent complex valued random variables (t/.

and q~. are real). is a necessary and sufficient condition for the uniform convergence a.s. For a weakly multiplicative sequence of random variables {X n} the almost sure uniform convergence of the random trigonometric series ∑ ∞ n = - ∞ a n e int X n (ω) is results are then used to prove the sample continuity of a weakly stationary process under certain conditions which are weaker than the usual conditions.

With these tools, we are able to give in full generality necessary and sufficient conditions for convergence of random Fourier series. These conditions can be formulated in words by saying that convergence is equivalent to the finiteness of (a proper generalization of) a certain “entropy integral”.

Necessary and Sufficient Conditions for the Uniform Convergence of Random Trigonometric Series. August 37 pp. S.T. Kuroda: An Introduction to Scattering Theory.

March pp. S.L. Woronowicz: Operator Systems and Their Application to the Tomita-Takesaki Theory. March 70 pp. Yakov S. Kupitz. convergence is solved in a simple way: the condi tion of the convergence of the series (1) at zero is necessary and su ﬃ cient for the uniform convergence of this series on [0.

convergence of a trigonometric series. Ask Question Asked 8 years, 9 months ago. Active 8 years, Uniform convergence of a trigonometric series.

Divergence or convergence of a series. Hot Network Questions c++ dice game using random numbers. We first give a necessary and sufficient condition for x -y ø(x) ∈ L p 1. Moreover, we obtained in this note sufficient and necessary conditions for the uniform convergence of sine and cosine series with $\left(p,\beta,r\right) -$ general monotone coefficients.

Article information. Marcus, M. and Pisier, G., Necessary and sufficient conditions for the uniform convergence of random trigonometric series, Lecture Note Series. A necessary and sufficient condition for the convergence of the series (5) is that the sequence of its partial sums is bounded above.

Necessary and sufficient conditions for the uniform convergence of random trigonometric series book this series is divergent, then its partial sums tend to infinity: $$ \mathop{\rm lim} _ {n \rightarrow \infty} \ s _{n} \ = \. A necessary and sufficient condition for an isolated singular point a of a function f(z) to be a pole of order n is that the principal part of f(z) at z = a contain exactly n terms.

In other words, if an isolated singular point a of a function f(z) is a pole of order n the Laurent expansion will have the form. For Fourier series in a rearranged trigonometric system certain properties of the Fourier series in the trigonometric system, taken in the usual order, do not hold.

For example, there is a continuous function such that its Fourier series after a certain rearrangement diverges almost-everywhere (see [KoMe]. In mathematics, the study of interchange of limiting operations is one of the major concerns of mathematical analysis, in that two given limiting operations, say L and M, cannot be assumed to give the same result when applied in either order.

One of the historical sources for this theory is the study of trigonometric series. Marcus and G. Pisier, Necessary and sufficient conditions for the uniform convergence of random trigonometric series, Lecture Notes Series, vol.

50, Aarhus Universitet, Matematisk Institut, Aarhus, Lecture / MR There are many known sufficient conditions for the Fourier series of a function to converge at a given point x, for example if the function is differentiable at a jump discontinuity does not pose a problem: if the function has left and right derivatives at x, then the Fourier series converges to the average of the left and right limits (but see Gibbs phenomenon).

Uniform convergence of sequences and series of functions: Prove necessary and sufficient condition for diagonalizability of matrices and linear transformations of Complex Numbers, Cartesian form and polar form, Euler’s formulae, de Moivre’s theorem, Relation between trigonometric functions and hyperbolic functions, Complex Logarithms.

Necessary and sufficient conditions for the uniform convergence of random trigonometric series, (with ), Lecture Note Series No. 50 (), Aarhus University, Aarhus, Denmark. Random Fourier Series on locally compact Abelian groups, (with G. Pisier), Seminaire de Probabilities XIII, Universite de Strasbourg /, Lecture Notes in.

Salem's Necessary and Sufficient Conditions The Trigonometric Problem of Moments Coefficients of Trigonometric Series with Non-Negative Partial Sums Transformation of Fourier Series Problems Chapter III. The Convergence of a Fourier Series at a Point 1. Introduction 2. Comparison of the Dini and Jordan Tests 3.

A Treatise on Trigonometric Series, Volume 1 deals comprehensively with the classical theory of Fourier series. This book presents the investigation of best approximations of functions by trigonometric zed into six chapters, this volume begins with an overview of the fundamental concepts and theorems in the theory of trigonometric series, which play a significant.

(c) Convergence and working knowledge of Beta and Gamma function and their interrelation (³ 1,0 1, sin n n n S S * * to be assumed). Computation of the integrals 2 0 sinn xdx S, 2 0 cosn xdx S ³, 2 0 tann xdx S ³ when they exist (using Beta and Gamma functions). Fourier series: Trigonometric series.

Statement of sufficient condition for. A necessary and sufficient condition for f{k)(x) or flk)(x), Received by the editors Ap and, in revised form, Aug (') We suppose k is a positive integer. Series: Definition of convergence, Necessary and sufficient conditions for convergence: Problem Set 11; Comparison, Limit comparison and Cauchy condensation tests: Problem Set 12; Ratio and Root tests, Leibniz's Test: Problem Set 13; Question Papers and Answer Keys; Quiz 1: Question Paper Tentative Marking Scheme.

In the mathematical field of analysis, uniform convergence is a mode of convergence of functions stronger than pointwise convergence.A sequence of functions converges uniformly to a limiting function on a set if, given any arbitrarily small positive number, a number can be found such that each of the functions, +, +, differ from by no more than at every point in.

When β = 2, the equivalence and may be deduced from, p. since each is necessary and sufficient condition for a random variable with cdf F ˜ (x) to be in the domain of attraction of a normal distribution, where F (x) = F ˜ (x) − F ˜ (− x), x ≥ 0.

It is important to note that for other notions of stochastic convergence (in probability, almost sure and in mean-square), the convergence of each single entry of the random vector is necessary and sufficient for their joint convergence, that is, for the convergence of the vector as a whole.

Instead, for convergence in distribution, the individual convergence of the entries of the vector is. The crucial condition which distinguishes uniform convergence from pointwise convergence of a sequence of functions is that the number N N N in the definition depends only on ϵ \epsilon ϵ and not on x x x.

It follows that every uniformly convergent sequence of functions is pointwise convergent to the same limit function, thus uniform. ON RANDOM FOURIER SERIES 55 Note that the minimal assumption EIXIl/a convergence of S(t) at every fixed t is also sufficient for the a.s.

uniform convergence of S(). In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s. of random Fourier series on locally compact Abelian groups and on compact non-Abelian groups.

They also obtain many related results. For example, whenever a random Fourier series converges uniformly a.s. it also satisfies the central limit theorem. The methods developed are used to. Book Description: In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s.

of random Fourier series on locally compact Abelian groups and on compact non-Abelian groups. In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s.

of random Fourier series on locally compact Abelian groups and on compact non-Abelian groups. They also obtain many related results. For example, whenever a random Fourier series converges uniformly a.s.

it also satisfies the central. In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatment of the subject with the addition of several proved theorems not included in the first edition, including the Bretagnolle–Massart theorem giving constants in the Komlos–Major–Tusnady rate of convergence for the classical empirical process, Massart's form of the.

Get this from a library. Random fourier series with applications to harmonic analysis. (am). [Gilles Pisier.] -- In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s.

of random Fourier series on locally compact. Uniform convergence Lehmann § a suﬃcient condition for E Y n → E Y is the uniform integrability of the Y n.

Deﬁnition The random variables Y 1,Y topic in its own right and you will ﬁnd it in both Lehmann’s book and Ferguson’s book if you are interested. Answer: Since uniform convergence is equivalent to convergence in the uniform metric, we can answer this question by computing $\du(f_n, f)$ and checking if $\du(f_n, f)\to0$.

We have, by definition \[ \du(f_n, f) = \sup_{0\leq x\lt 1}|x^n - 0| =\sup_{0\leq x\lt 1} x^n = 1. A power series, for example, is convergent for all values of x in a certain interval, called the interval of convergence, and divergent for all values of x outside this interval.

Concept of uniform convergence. When working with series whose terms are functions of some variable x the necessity arises for differentiating them term by term. ory of almost periodic functions, the necessary and sufficient condition for a series of the form (A2) to be the Fourier series of a function in AP(R,C)is its summability by a linear method (Cesaro, Fejér, Bochner), with respect to the uniform convergence on R.

How we can reconstruct the theory of almost periodic functions (Bohr) if.Uniform convergence and Riemann-Stieltjes integration; Nonuniformly convergent sequences that can be integrated term by term; Uniform convergence and differentiation; Sufficient conditions for uniform convergence of a series; Uniform convergence and double sequences; Mean convergence; Power series.Convergence and Divergence Theorems for Series.

We will now look at some other very important convergence and divergence theorems apart from the The Divergence Theorem for Series. Theorem 1: The series $\sum_{n=1}^{\infty}.