Basic Analysis IV

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A01=James K. Peterson
Absolutely Continuous
abstract integration techniques
advanced mathematical proofs
Author_James K. Peterson
Borel Measure
Borel Sets
Borel Sigma Algebra
Bounded Variation
bounded variation functions
Cantor set properties
Caratheodory Condition
Category=PBK
Cauchy Sequence
classical Riemann's integration theory
convergence theorems
Countable Subadditivity
Countably Additive
Covering Family
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Finite Measure
functional decomposition
Lebesgue Measurable Sets
Lebesgue Measure
Lebesgue Outer Measure
Lim Inf
Lp function spaces
Measurability
Measurable Sets
Measure Space
measure theory
Monotone Functions
Nonempty Set
Open Intervals
Outer Measure
Pointwise Limit
real analysis concepts
Riemann Integrable Functions
riemann integration
Stieljes Integrals
Stieltjes Integration
Summable Functions

Product details

  • ISBN 9781138055117
  • Weight: 1090g
  • Dimensions: 178 x 254mm
  • Publication Date: 13 Aug 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Basic Analysis IV: Measure Theory and Integration introduces students to concepts from measure theory and continues their training in the abstract way of looking at the world. This is a most important skill to have when your life's work will involve quantitative modeling to gain insight into the real world. This text generalizes the notion of integration to a very abstract setting in a variety of ways. We generalize the notion of the length of an interval to the measure of a set and learn how to construct the usual ideas from integration using measures. We discuss carefully the many notions of convergence that measure theory provides.

Features

• Can be used as a traditional textbook as well as for self-study
• Suitable for advanced students in mathematics and associated disciplines
• Emphasises learning how to understand the consequences of assumptions using a variety of tools to provide the proofs of propositions

James Peterson has been an associate professor in the School of Mathematical and Statistical Sciences since 1990. He tries hard to build interesting models of complex phenomena using a blend of mathematics, computation and science. To this end, he has written four books on how to teach such things to biologists and cognitive scientists. These books grew out of his Calculus for Biologists courses offered to the biology majors from 2007 to 2016.

He has taught the analysis courses since he started teaching both at Clemson and at his previous post at Michigan Technological University. In between, he spent time as a senior engineer in various aerospace firms and even did a short stint in a software development company. The problems he was exposed to were very hard and not amenable to solution using just one approach. Using tools from many branches of mathematics, from many types of computational languages and from first principles analysis of natural phenomena was absolutely essential to make progress.

In both mathematical and applied areas, students often need to use advanced mathematics tools they have not
learned properly. So recently, he has written a series of books on analysis to help researchers with the problem
of learning new things after their degrees are done and they are practicing scientists. Along the way, he has also written papers in immunology, cognitive science and neural network technology in addition to having grants from NSF, NASA and the Army.

He also likes to paint, build furniture and write stories.

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