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A Course on Borel sets provides a thorough introduction to Borel sets and measurable selections and acts as a stepping stone to descriptive set theory by presenting important techniques such as universal sets, prewellordering, scales, etc. It is well suited for graduate students exploring areas of mathematics for their research and for mathematicians requiring Borel sets and measurable selections in their work. It contains significant applications to other branches of mathematics and can serve as a self- contained reference accessible by mathematicians in many different disciplines. It is written in an easily understandable style and employs only naive set theory, general topology, analysis, and algebra. A large number of interesting exercises are given throughout the text.
Differential equations --- Borel sets. --- Ensembles boréliens --- Borel sets --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Theory --- Algebra --- Mathematics. --- Mathematical logic. --- Topology. --- Mathematical Logic and Foundations. --- Logic, Symbolic and mathematical. --- Analysis situs --- Position analysis --- Rubber-sheet geometry --- Geometry --- Polyhedra --- Set theory --- Algebras, Linear --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Syllogism --- B-measurable sets --- B-sets --- Borel-measurable sets --- Borel subsets --- Borelian sets --- Subsets, Borel --- Analytic sets --- Topology --- Ensembles, Théorie descriptive des --- Mesure, Théorie de la
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This book may be considered a continuation of my Springer-Verlag text Mea sure, Topology, and Fractal Geometry. It presupposes some elementary knowl edge of fractal geometry and the mathematics behind fractal geometry. Such knowledge might be obtained by study of Measure, Topology, and Fractal Ge ometry or by study of one of the other mathematically oriented texts (such as [13] or [87]). I hope this book will be appropriate to mathematics students at the beginning graduate level in the U.S. Most references are numbered and may be found at the end of the book; but Measure, Topology, and Fractal Geometry is referred to as [ MTFG]. One of the reviews of [MTFG] says that it "sacrific[es] breadth of coverage 1 for systematic development" -although I did not have it so clearly formulated as that in my mind at the time I was writing the book, I think that remark is exactly on target. That sacrifice has been made in this volume as well. In many cases, I do not include the most general or most complete form of a result. Sometimes I have only an example of an important development. The goal was to omit most material that is too tedious or that requires too much background.
Measure theory. Mathematical integration --- Fractals. --- Measure theory. --- Probability measures. --- Fractales --- Mesure, Théorie de la --- Mesures de probabilités --- 517.987 --- Measures. Representations of Boolean algebras. Metric theory of dynamic systems --- 517.987 Measures. Representations of Boolean algebras. Metric theory of dynamic systems --- Mesure, Théorie de la --- Mesures de probabilités --- Fractals --- Measure theory --- Probability measures --- Measures, Normalized --- Measures, Probability --- Normalized measures --- Distribution (Probability theory) --- Lebesgue measure --- Measurable sets --- Measure of a set --- Algebraic topology --- Integrals, Generalized --- Measure algebras --- Rings (Algebra) --- Fractal geometry --- Fractal sets --- Geometry, Fractal --- Sets, Fractal --- Sets of fractional dimension --- Dimension theory (Topology) --- Differential geometry. Global analysis --- Geometric measure theory --- Mesure géométrique, Théorie de la --- Fractales. --- Geometric probabilities. --- Probabilités géométriques. --- Probabilities. --- Functions of real variables. --- Probability Theory and Stochastic Processes. --- Real Functions. --- Real variables --- Functions of complex variables --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Mesure géométrique, Théorie de la --- Probabilités géométriques.
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