Regular Variation
eBook - PDF

Regular Variation

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

About this book

This book is a comprehensive account of the theory and applications of regular variation. It is concerned with the asymptotic behaviour of a real function of a real variable x which is 'close' to a power of x. Such functions are much more than a convenient extension of powers. In many limit theorems regular variation is intrinsic to the result, and exactly characterises the limit behaviour. The book emphasises such characterisations, and gives a comprehensive treatment of those applications where regular variation plays an essential (rather then merely convenient) role. The authors rigorously develop the basic ideas of Karamata theory and de Haan theory including many new results and 'second-order' theorems. They go on to discuss the role of regular variation in Abelian, Tauberian, and Mercerian theorems. These results are then applied in analytic number theory, complex analysis, and probability, with the aim above all of setting the theory in context. A widely scattered literature is thus brought together in a unified approach. With several appendices and a comprehensive list of references, analysts, number theorists, and probabilists will find this an invaluable and complete account of regular variation. It will provide a rigorous and authoritative introduction to the subject for research students in these fields.

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Yes, you can access Regular Variation by N. H. Bingham,C. M. Goldie,J. L. Teugels in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. CONTENTS
  7. PREFACE
  8. 1 Karamata Theory
  9. 2 Further Karamata Theory
  10. 3 de Haan Theory
  11. 4 Abelian and Tauberian Theorems
  12. 5 Mercerian Theorems
  13. 6 Applications to Analytic Number Theory
  14. 7 Applications to complex analysis
  15. 8 Applications to probability theory
  16. Appendix 1: Regular variation in more general settings
  17. Appendix 2: Differential equations
  18. Appendix 3: Functional equations
  19. Appendix 4: Subexponentiality
  20. Appendix 5: Calculating the de Bruijn conjugate
  21. Appendix 6: Bounded variation
  22. REFERENCES
  23. Additional references
  24. INDEX OF NAMED THEOREMS
  25. INDEX OF NOTATION
  26. GENERAL INDEX