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Richa Nandra, Lovely Professional University  Unit 22: Introduction to Riemann-Stieltjes Integration, using Riemann Sums





                     Unit 22: Introduction to Riemann-Stieltjes                                 Notes
                          Integration, using Riemann Sums


             CONTENTS
             Objectives
             Introduction
             22.1 Riemann-Stieltjes Sums
             22.2 More Notation: The Mesh (Size) of a Partition
             22.3 The Riemann-Stieltjes – sum Definition of the Riemann-Stieltjes Integral
             22.4 A Difficulty with the Definition; The Cauchy Criterion for Riemann-Stieltjes
                 Integrability
             22.5 Functions of Bounded Variation: Definition and Properties
             22.6 Some Properties of Functions of Bounded Variation
             22.7 Summary
             22.8 Keywords
             22.9 Review Questions
             22.10 Further Readings

          Objectives


          After studying this unit, you will be able to:
              Discuss Riemann–Stieltjes sums

              Know the Cauchy Criterion for Riemann–Stieltjes Integrability
          Introduction


          We will approach Riemann-Stieltjes integrals using Riemann-Stieltjes sums instead of the upper
          and lower sums. The main reasons are to study Riemann-Stieltjes integrals with “integrators”
          (x) that are not monotone, but are “of bounded variation,” and (most important) here you are
          able to define Riemann-Stieltjes integrals when the values of my functions belong to an infinite
          dimensional vector space, where upper and lower sums don’t  make sense. This makes little
          difference in the case of real-valued functions, since functions of bounded variation can always
          be expressed as the difference of two monotone functions. At first, we don’t need “bounded
          variation,” so that concept’s development will wait until it is needed.
          Throughout this note, our functions f(x) will be “finite-valued.” They may be real, complex, or
          vector-valued. Their values will thus lie in a vector space. They can thus be added pointwise, and
          multiplied by scalars, and their values always have finite “distance from zero,” denoted |f(x)|,
          which can denote absolute value or norm, such as the length of a vector, or the “L  norm” and the
                                                                          p
            q
          “L  norm”. In case f(x) is actually a function of t for each x... We always assume that the ”absolute
          value” is complete; Cauchy sequences converge.









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