Methods of Approximation Theory
eBook - PDF

Methods of Approximation Theory

  1. 937 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Methods of Approximation Theory

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Yes, you can access Methods of Approximation Theory by Alexander I. Stepanets in PDF and/or ePUB format, as well as other popular books in Mathematics & Functional Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2011
Print ISBN
9783110630022
eBook ISBN
9783110195286

Table of contents

  1. PREFACE
  2. PART I
  3. 1. REGULARITY OF LINEAR METHODS OF SUMMATION OF FOURIER SERIES
  4. 1. Introduction
  5. 2. Nikol’skii and Nagy Theorems
  6. 3. Lebesgue Constants of Classical Linear Methods
  7. 4. Lower Bounds for Lebesgue Constants
  8. 5. Linear Methods Determined by Rectangular Matrices
  9. 6. Estimates for Integrals of Moduli of Functions Defined by Cosine and Sine Series
  10. 7. Asymptotic Equality for Integrals of Moduli of Functions Defined by Trigonometric Series. Telyakovskii Theorem
  11. 8. Corollaries of Theorem 7.1. Regularity of Linear Methods of Summation of Fourier Series
  12. 2. SATURATION OF LINEAR METHODS
  13. 1. Statement of the Problem
  14. 2. Sufficient Conditions for Saturation
  15. 3. Saturation Classes
  16. 4. Criterion for Uniform Boundedness of Multipliers
  17. 5. Saturation of Classical Linear Methods
  18. 3. CLASSES OF PERIODIC FUNCTIONS
  19. 1. Sets of Summable Functions. Moduli of Continuity
  20. 2. Classes Hω[a,b] and Hω
  21. 3. Moduli of Continuity in Spaces Lp. Classes Hωp
  22. 4. Classes of Differentiable Functions
  23. 5. Conjugate Functions and Their Classes
  24. 6. Weyl-Nagy Classes
  25. 7. Classes LψϐN
  26. 8. Classes CψϐN
  27. 9. Classes LψϐN
  28. 10. Order Relation for (ψ,ϐ) -Derivatives
  29. 11. ψ-Integrals of Periodic Functions
  30. 12. Sets M0, M∞, and Mc
  31. 13. Set F
  32. 14. Two Counterexamples
  33. 15. Function ηa(t) and Sets Defined by It
  34. 16. Sets B and M0
  35. 4. INTEGRAL REPRESENTATIONS OF DEVIATIONS OF POLYNOMIALS GENERATED BY LINEAR PROCESSES OF SUMMATION OF FOURIER SERIES
  36. 1. First Integral Representation
  37. 2. Second Integral Representation
  38. 3. Representation of Deviations of Fourier Sums on Sets CψM and Lψ
  39. 5. APPROXIMATION BY FOURIER SUMS IN SPACES C AND L1
  40. 1. Simplest Extremal Problems in Space C
  41. 2. Simplest Extremal Problems in Space L1
  42. 3. Approximations of Functions of Small Smoothness by Fourier Sums
  43. 4. Auxiliary Statements
  44. 5. Proofs of Theorems 3.1-3.3'
  45. 6. Approximation by Fourier Sums on Classes Hω
  46. 7. Approximation by Fourier Sums on Classes Hω
  47. 8. Analogs of Theorems 3.1-3.3' in Integral Metric
  48. 9. Analogs of Theorems 6.1 and 7.1 in Integral Metric
  49. 10. Approximations of Functions of High Smoothness by Fourier Sums in Uniform Metric
  50. 11. Auxiliary Statements
  51. 12. Proofs of Theorems 10.1-10.3'
  52. 13. Analogs of Theorems 10.1-10.3' in Integral Metric
  53. 14. Remarks on the Solution of Kolmogorov-Nikol’skii Problem
  54. 15. Approximation of ψ-Integrals That Generate Entire Functions by Fourier Sums
  55. 16. Approximation of Poisson Integrals by Fourier Sums
  56. 17. Corollaries of Telyakovskii Theorem
  57. 18. Solution of Kolmogorov-Nikol’skii Problem for Poisson Integrals of Continuous Functions
  58. 19. Lebesgue Inequalities for Poisson Integrals
  59. 20. Approximation by Fourier Sums on Classes of Analytic Functions
  60. 21. Convergence Rate of Group of Deviations
  61. 22. Corollaries of Theorems 21.1 and 21.2. Orders of Best Approximations
  62. 23. Analogs of Theorems 21.1 and 21.2 and Best Approximations in Integral Metric
  63. 24. Strong Summability of Fourier Series
  64. BIBLIOGRAPHICAL NOTES (Part I)
  65. REFERENCES (Part I)
  66. PART II
  67. 6. CONVERGENCE RATE OF FOURIER SERIES AND THE BEST APPROXIMATIONS IN THE SPACES Lp
  68. 0. Introduction
  69. 1. Approximations in the Space L2
  70. 2. Direct and Inverse Theorems in the Space L2
  71. 3. Extension to the Case of Complete Orthonormal Systems
  72. 4. Jackson Inequalities in the Space L2
  73. 5. Marcinkiewicz, Riesz, and Hardy-Littlewood Theorems
  74. 6. Imbedding Theorems for the Sets LψLP
  75. 7. Approximations of Functions from the Sets LψLp by Fourier Sums
  76. 8. Best Approximations of Infinitely Differentiable Functions
  77. 9. Jackson Inequalities in the Spaces C and Lp
  78. 7. BEST APPROXIMATIONS IN THE SPACES C AND L
  79. 1. Chebyshev and de la Vallée Poussin Theorems
  80. 2. Polynomial of the Best Approximation in the Space L
  81. 3. General Facts on the Approximations of Classes of Convolutions
  82. 4. Orders of the Best Approximations
  83. 5. Exact Values of the Upper Bounds of Best Approximations
  84. 6. Dzyadyk-Stechkin-Xiung Yungshen Theorem. Korneichuk Theorem
  85. 7. Serdyuk Theorem
  86. 8. Bernstein Inequalities for Polynomials
  87. 9. Inverse Theorems
  88. 8. INTERPOLATION
  89. 1. Interpolation Trigonometric Polynomials
  90. 2. Lebesgue Constants and Nikol’skii Theorems
  91. 3. Approximation by Interpolation Polynomials in the Classes of Infinitely Differentiable Functions
  92. 4. Approximation by Interpolation Polynomials on the Classes of Analytic Functions
  93. 5. Summable Analog of the Favard Method
  94. 9. APPROXIMATIONS IN THE SPACES OF LOCALLY SUMMABLE FUNCTIONS
  95. 1. Spaces Lp
  96. 2. Order Relation for (ψ, ß)-Derivatives
  97. 3. Approximating Functions
  98. 4. General Estimates
  99. 5. On the Functions ψ(•) Specifying the Sets Lψß
  100. 6. Estimates of the Quantities ║ȓcσ(t, ß)║1 for c = σ - h and h > 0
  101. 7. Estimates of the Quantities ║ȓcσ(t, ß)║1 for c = θσ, 0 ≤θ≤ 1, and ψ ∈ Uc
  102. 8. Estimates of the Quantities ║ȓcσ(t, ß)║1 for c = 2σ - η(σ) and ψ ∈ U∞
  103. 9. Estimates of the Quantities ║ȓcσ(t, 0)║1 for c = θσ, 0 ≤ θ ≤ 1, and ψ ∈ U0
  104. 10. Estimates of the Quantities ║δσ,c(t,ß)║1
  105. 11. Basic Results
  106. 12. Upper Bounds of the Deviations ρσ(f;•) in the Classes Ĉψß,∞ and ĈψßHω
  107. 13. Some Remarks on the Approximation of Functions of High Smoothness
  108. 14. Strong Means of Deviations of the Operators Fσ(f;x)
  109. 10. APPROXIMATION OF CAUCHY-TYPE INTEGRALS
  110. 1. Definitions and Auxiliary Statements
  111. 2. Sets of ψ-Integrals
  112. 3. Approximation of Functions from the Classes Cψ(T)+
  113. 4. Landau Constants
  114. 5. Asymptotic Equalities
  115. 6. Lebesgue-Landau Inequalities
  116. 7. Approximation of Cauchy-Type Integrals
  117. 11. APPROXIMATIONS IN THE SPACES SP
  118. 1. Spaces
  119. 2. ψ-Integrals and Characteristic Sequences
  120. 3. Best Approximations and Widths of p-Ellipsoids
  121. 4. Approximations of Individual Elements from the Sets
  122. 5. Best n-Term Approximations
  123. 6. Best n-Term Approximations (q>p)
  124. 7. Proof of Lemma 6.1
  125. 8. Best Approximations by q-Ellipsoids in the Spaces Spφ
  126. 9. Application of Obtained Results to Problems of Approximation of Periodic Functions of Many Variables
  127. 10. Remarks
  128. 11. Theorems of Jackson and Bernstein in the Spaces Sp
  129. 12. APPROXIMATIONS BY ZYGMUND AND DE LA VALLÉE POUSSIN SUMS
  130. 1. Fejér Sums: Survey of Known Results
  131. 2. Riesz Sums: A Survey of Available Results
  132. 3. Zygmund Sums: A Survey of Available Results
  133. 4. Zygmund Sums on the Classes Cψß,∞
  134. 5. De la Vallée Poussin Sums on the Classes Wrß and WrßHw
  135. 6. De la Vallée Poussin Sums on the Classes CψßN and CψN
  136. BIBLIOGRAPHICAL NOTES (Part II)
  137. REFERENCES (Part II)
  138. Index