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ویرایش: 3rd edition
نویسندگان: Yeh. James
سری:
ISBN (شابک) : 9789814578530, 9814578541
ناشر: World Scientific
سال نشر: 2014
تعداد صفحات: 840
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 184 مگابایت
کلمات کلیدی مربوط به کتاب تجزیه و تحلیل واقعی: نظریه اندازه گیری و ادغام: تجزیه و تحلیل ریاضی، انتگرال های تعمیم یافته، لبگ، انتگرال، اندازه گیری، نظریه، تجزیه و تحلیل ریاضی
در صورت تبدیل فایل کتاب Real analysis: theory of measure and integration به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تجزیه و تحلیل واقعی: نظریه اندازه گیری و ادغام نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب یک رساله یکپارچه از نظریه اندازه گیری و ادغام ارائه می دهد. در تنظیم فضای اندازه گیری کلی، هر مفهومی به طور دقیق تعریف می شود و هر قضیه با یک برهان واضح و کامل با تمام جزئیات مربوط ارائه می شود. مثالهای متقابل ارائه شدهاند تا نشان دهند که شرایط خاصی در فرضیه یک قضیه را نمیتوان به سادگی کنار گذاشت. وابستگی یک قضیه به قضایای قبلی به صراحت در اثبات نشان داده شده است، نه تنها برای تسهیل خواندن، بلکه برای ترسیم ساختار نظریه. دقت و وضوح ارائه، کتاب را به یک کتاب درسی ایدهآل برای دوره تحصیلات تکمیلی در تحلیل واقعی تبدیل میکند، در حالی که انبوه موضوعات پرداخته شده نیز کتاب را به یک اثر مرجع ارزشمند برای ریاضیدانان تبدیل میکند. این کتاب همچنین برای دانشجویان فارغ التحصیل در رشته های آمار و مهندسی برق، دو رشته ای که تئوری اندازه گیری را اعمال می کنند، بسیار مفید است.
This book presents a unified treatise of the theory of measure and integration. In the setting of a general measure space, every concept is defined precisely and every theorem is presented with a clear and complete proof with all the relevant details. Counter-examples are provided to show that certain conditions in the hypothesis of a theorem cannot be simply dropped. The dependence of a theorem on earlier theorems is explicitly indicated in the proof, not only to facilitate reading but also to delineate the structure of the theory. The precision and clarity of presentation make the book an ideal textbook for a graduate course in real analysis while the wealth of topics treated also make the book a valuable reference work for mathematicians. The book is also very helpful to graduate students in statistics and electrical engineering, two disciplines that apply measure theory.
Contents Preface to the First Edition Preface to the Second Edition Preface to the Third Edition List of Notations 1 Measure Spaces §0 Introduction §1 Measure on a -algebra of Sets [I] -algebra of Sets [ll] Limits of Sequences of Sets [III] Generation of -algebras [IV] Borel -algebras [V] Measure on a -algebra [VI] Measures of a Sequence of Sets [VII] Measurable Space and Measure Space [VIII] Measurable Mapping [IX] Induction of Measure by Measurable Mapping §2 Outer Measures [I] Construction of Measure by Means of Outer Measure [II] Regular Outer Measures [III] Metric Outer Measures [IV] Construction of Outer Measures §3 Lebesgue Measure on R [I] Lebesgue Outer Measure on R [II] Some Properties of the Lebesgue Measure Space [III] Existence of Non-Lebesgue Measurable Sets [IV] Regularity of Lebesgue Outer Measure [V] Lebesgue Inner Measure on R §4 Measurable Functions [I] Measurability of Functions [II] Operations with Measurable Functions [III] Equality Almost Everywhere [IV] Sequence of Measurable Functions [V] Continuity and Borel and Lebesgue Measurability of Functions on R [VI] Cantor Ternary Set and Cantor-Lebesgue Function [VI.1] Construction of Cantor Ternary Set [VI.2] Cantor-Lebesgue Function §5 Completion of Measure Space [I] Complete Extension and Completion of a Measure Space [II] Completion of the Borel Measure Space to the Lebesgue Measure Space §6 Convergence a.e. and Convergence in Measure [I] Convergence a.e. [II] Almost Uniform Convergence [III] Convergence in Measure [IV] Cauchy Sequences in Convergence in Measure [V] Approximation by Step Functions and Continuous Functions [V.1] Approximation of Lebesgue Measurable Functions by Step Functions [V.2] Approximation of Lebesgue Measurable Functions by Continuous Functions 2 The Lebesgue Integral §7 Integration of Bounded Functions on Sets of Finite Measure [I] Integration of Simple Functions [II] Integration of Bounded Functions on Sets of Finite Measure [III] Riemann Integrability §8 Integration of Nonnegative Functions [I] Lebesgue Integral of Nonnegative Functions [II] Monotone Convergence Theorem [III] Approximation of the Integral by Truncation §9 Integration of Measurable Functions [I] Lebesgue Integral of Measurable Functions [II] Convergence Theorems [III] Convergence Theorems under Convergence in Measure [IV] Approximation of the Integral by Truncation [V] Translation and Linear Transformation of the Lebesgue Integral on R [VI] Integration by Image Measure § 10 Signed Measures [I] Signed Measure Spaces [II] Decomposition of Signed Measures [III] Integration on a Signed Measure Space § 11 Absolute Continuity of a Measure [I] The Radon-Nikodym Derivative [II] Absolute Continuity of a Signed Measure Relative to a Positive Measure [III] Properties of the Radon-Nikodym Derivative 3 Differentiation and Integration § 12 Monotone Functions and Functions of Bounded Variation [I] The Derivative [II] Differentiability of Monotone Functions [III] Functions of Bounded Variation § 13 Absolutely Continuous Functions [I] Absolute Continuity [II] Banach-Zarecki Criterion for Absolute Continuity [III] Singular Functions [IV] Indefinite Integrals [V] Calculation of the Lebesgue Integral by Means of the Derivative [V.1] The Fundamental Theorem of Calculus [V.2] Integration by Parts [V.3] Change of Variables [VI] Length of Rectifiable Curves § 14 Convex Functions [I] Continuity and Differentiability of a Convex Function [II] Monotonicity and Absolute Continuity of a Convex Function [III] Jensen's Inequality 4 The Classical Banach Spaces § 15 Normed Linear Spaces [I] Banach Spaces [II] Banach Spaces on R [III] The Space of Continuous Functions C([a, b]) [IV] A Criterion for Completeness of a Normed Linear Space [V] Hilbert Spaces [VI] Bounded Linear Mappings of Normed Linear Spaces [V.1] Continuous Linear Mappings [V.2] Bounded Linear Mappings [VI.3] Equivalence of Continuity and Roundedness of a Linear Mapping [VI.4] Infimum of the Bounds of a Linear Mapping [VI.5] Normed Linear Space of Bounded Linear Mappings [VII.6] Dual of a Normed Linear Space [VII] Baire Category Theorem [VIII] Uniform Boundedness Theorems [IX] Open Mapping Theorem [X] Hahn-Banach Extension Theorems [X.1] Hahn-Banach Extension Theorem for Real Linear Spaces [X.2] Hahn-Banach Extension Theorem for Complex Linear Spaces [X.3] Bounded Linear Mappings of a Dual Space into a Dual Space [XI] Semicontinuous Functions § 16 The LP Spaces [I] The P Spaces for p (0, ) [II] The Linear Spaces P for p [1, ) [III] The LP Spaces for p [1, ) [IV] The Space L [V] The LP Spaces for p (0, 1) [VI] Extensions of Holder's Inequality § 17 Relation among the LP Spaces [I] The Modified LP Norms for LP Spaces with p [1, ] [II] Approximation by Continuous Functions [III] LP Spaces with p (0, 1] [IV] The P Spaces § 18 Bounded Linear Functionals on the LP Spaces [I] Bounded Linear Functionals Arising from Integration [II] Approximation by Simple Functions [III] A Converse of Holder's Inequality [IV] Riesz Representation Theorem on the LP Spaces § 19 Integration on Locally Compact Hausdorff Space [I] Continuous Functions on a Locally Compact Hausdorff Space [II] Borel and Radon Measures [III] Positive Linear Functionals on Cc(X) [IV] Approximation by Continuous Functions [V] Signed Radon Measures [VI] The Dual Space of C(X) 5 Extension of Additive Set Functions to Measures §20 Extension of Additive Set Functions on an Algebra [I] Additive Set Function on an Algebra [II] Extension of an Additive Set Function on an Algebra to a Measure [III] Regularity of an Outer Measure Derived from a Countably Additive Set Function on an Algebra [IV] Uniqueness of Extension of a Countably Additive Set Function on an Algebra to a Measure [V] Approximation to a -algebra Generated by an Algebra [VI] Outer Measure Based on a Measure §21 Extension of Additive Set Functions on a Semialgebra [I] Semialgebras of Sets [II] Additive Set Function on a Semialgebra [III] Outer Measures Based on Additive Set Functions on a Semialgebra §22 Lebesgue-Stieltjes Measure Spaces [I] Lebesgue-Stieltjes Outer Measures [II] Regularity of the Lebesgue-Stieltjes Outer Measures [III] Absolute Continuity and Singularity of a Lebesgue-Stieltjes Measure [III.1] Absolute Continuity of Lebesgue-Stieltjes Measures [III.2] Singularity of Lebesgue-Stieltjes Measures [IV] Decomposition of an Increasing Function § 23 Product Measure Spaces [I] Existence and Uniqueness of Product Measure Spaces [II] Integration on Product Measure Space [III] Completion of Product Measure Space [IV] Convolution of Functions [IV.1] Convolution of Integrable Functions [IV.2] Convolution of LP-Functions [IV.3] Approximate Identity in Convolution Product [IV.4] Approximate Identity Relative to Pointwise Convergence [V] Some Related Theorems [V.1] Cavalieri's Formula and Extensions [V.2] Minkowski's Inequality for Integrals [V.3] Approximation by Product Simple Functions 6 Measure and Integration on the Euclidean Space §24 Lebesgue Measure Space on the Euclidean Space [I] Lebesgue Outer Measure on the Euclidean Space [II] Regularity Properties of Lebesgue Measure Space on Rn [III] Approximation by Continuous Functions [IV] Lebesgue Measure Space on Rn as the Completion of a Product Measure Space [V] Translation of the Lebesgue Integral on Rn [VI] Linear Transformation of the Lebesgue Integral on Rn § 25 Differentiation on the Euclidean Space [I] The Lebesgue Differentiation Theorem on Rn [II] Differentiation of Set Functions with Respect to the Lebesgue Measure [III] Differentiation of the Indefinite Integral [IV] Density of Lebesgue Measurable Sets Relative to the Lebesgue Measure [V] Signed Borel Measures on Rn [VI] Differentiation of Borel Measures with Respect to the Lebesgue Measure § 26 Change of Variable of Integration on the Euclidean Space [I] Change of Variable of Integration by Differentiable Transformations [II] Spherical Coordinates in Rn [III] Integration by Image Measure on Spherical Surfaces 7 Hausdorff Measures on the Euclidean Space §27 Hausdorff Measures [I] Hausdorff Measures on Rn [II] Equivalent Definitions of Hausdorff Measure [II.1] Covering by Closed Sets and by Open Sets [II.2] Covering by Convex Sets [III] Regularity of Hausdorff Measure [IV] Hausdorff Dimension §28 Transformations of Hausdorff Measures [I] Hausdorff Measure of Transformed Sets [II] 1-dimensional Hausdorff Measure [III] Hausdorff Measure of Jordan Curves §29 Hausdorff Measures of Integral and Fractional Dimensions [I] Hausdorff Measure of Integral Dimension and Lebesgue Measure [II] Calculation of the n-dimensional Hausdorff Measure of a Unit Cube in Rn [III] Transformation of Hausdorff Measure of Integral Dimension [IV] Hausdorff Measure of Fractional Dimension A Digital Expansions of Real Numbers [I] Existence of p-digital Expansion [II] Uniqueness Question in p-digital Representation [III] Cardinality of the Cantor Ternary Set B Measurability of Limits and Derivatives [I] Borel Measurability of Limits of a Function [ll] Borel Measurability of the Derivative of a Function C Lipschitz Condition and Bounded Derivative D Uniform Integrability [I] Uniform Integrability [II] Equi-integrability [III] Uniform Integrability on Finite Measure Spaces E Product-measurability and Factor-measurability [I] Product-measurability and Factor-measurability of a Set [II] Product-measurability and Factor-measurability of a Function F Functions of Bounded Oscillation [I] Partition of Closed Boxes in Rn [II] Bounded Oscillation in Rn [III] Bounded Oscillation on Subsets [IV] Bounded Oscillation on 1-dimensional Closed Boxes [V] Bounded Oscillation and Measurability [VI] Evaluation of the Total Variation of an Absolutely Continuous Function Bibliography Index