217 research outputs found

    Partial measures

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    We study sigma-additive set functions defined on a hereditary subclass of a sigma-algebra and taken values in the extended real line. Analogs of the Jordan decomposition theorem and the Radon-Nikodym theorem are obtained.Comment: 4 pages. Submitted to Lobachevskii Journal of Mathematics ( http://ljm.ksu.ru

    Partial measures

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    We study σ-additive set functions defined on a hereditary subclass of a σ-algebra and taken values in the extended real line. Analogs of the Jordan decomposition theorem and the Radon-Nikodym theorem are obtained

    Computable Jordan Decomposition of Linear Continuous Functionals on C[0;1]C[0;1]

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    By the Riesz representation theorem using the Riemann-Stieltjes integral, linear continuous functionals on the set of continuous functions from the unit interval into the reals can either be characterized by functions of bounded variation from the unit interval into the reals, or by signed measures on the Borel-subsets. Each of these objects has an (even minimal) Jordan decomposition into non-negative or non-decreasing objects. Using the representation approach to computable analysis, a computable version of the Riesz representation theorem has been proved by Jafarikhah, Lu and Weihrauch. In this article we extend this result. We study the computable relation between three Banach spaces, the space of linear continuous functionals with operator norm, the space of (normalized) functions of bounded variation with total variation norm, and the space of bounded signed Borel measures with variation norm. We introduce natural representations for defining computability. We prove that the canonical linear bijections between these spaces and their inverses are computable. We also prove that Jordan decomposition is computable on each of these spaces

    Functions of bounded variation, signed measures, and a general Koksma-Hlawka inequality

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    In this paper we prove a correspondence principle between multivariate functions of bounded variation in the sense of Hardy and Krause and signed measures of finite total variation, which allows us to obtain a simple proof of a generalized Koksma--Hlawka inequality for non-uniform measures. Applications of this inequality to importance sampling in Quasi-Monte Carlo integration and tractability theory are given. Furthermore, we discuss the problem of transforming a low-discrepancy sequence with respect to the uniform measure into a sequence with low discrepancy with respect to a general measure μ\mu, and show the limitations of a method suggested by Chelson.Comment: 29 pages. Second version: some minor changes, typos fixed, etc. The manuscript has been accepted for publication by Acta Arithmetic

    On approximately monotone and approximately H\"older functions

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    A real valued function ff defined on a real open interval II is called Φ\Phi-monotone if, for all x,y∈Ix,y\in I with x≤yx\leq y it satisfies f(x)≤f(y)+Φ(y−x), f(x)\leq f(y)+\Phi(y-x), where Φ:[0,ℓ(I)[ →R+\Phi:[0,\ell(I)[\,\to\mathbb{R}_+ is a given nonnegative error function, where ℓ(I)\ell(I) denotes the length of the interval II. If ff and −f-f are simultaneously Φ\Phi-monotone, then ff is said to be a Φ\Phi-H\"older function. In the main results of the paper, we describe structural properties of these function classes, determine the error function which is the most optimal one. We show that optimal error functions for Φ\Phi-monotonicity and Φ\Phi-H\"older property must be subadditive and absolutely subadditive, respectively. Then we offer a precise formula for the lower and upper Φ\Phi-monotone and Φ\Phi-H\"older envelopes. We also introduce a generalization of the classical notion of total variation and we prove an extension of the Jordan Decomposition Theorem known for functions of bounded total variations

    Counting colorings on varieties

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    The goal of this note is to present a combinatorial mechanism for counting certain objects associated to a variety X defined over a finite field. The basic example is that of counting conjugacy classes in GL_n(F_q), where X is the multiplicative group
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