Basic Analysis III

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A01=James K. Peterson
abstract spaces
advanced linear analysis concepts
Age Group_Uncategorized
Age Group_Uncategorized
Author_James K. Peterson
automatic-update
Banach Theorem
Category1=Non-Fiction
Category=PBK
Category=TQ
Cauchy Sequence
Closed Graph Theorem
compactness
Complete Normed Linear Space
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Dual Space
dual spaces
eq_isMigrated=2
eq_nobargain
Fourier Series
functional analysis
hilbert space
Hilbert Spaces
Infinite Dimensional
Infinite Dimensional Spaces
Language_English
Linearly Independent
mathematical modeling
Metric Space
metric spaces
Normed Linear Space
Normed linear spaces
Numerical Partial Differential Equations
OMT
operator theory
Ordered Vector Space
Ordinary Differential Equations
Orthogonal Complement
Orthonormal Sequence
PA=Available
Price_€100 and above
Prove Theorem
PS=Active
Riemann Integrable Functions
Riemann Integration
Schauder Basis
self-adjoint operators
softlaunch
Topological Vector Spaces
undergraduate mathematics
Vector Space
Weak Convergence

Product details

  • ISBN 9781138055087
  • Weight: 2040g
  • Dimensions: 178 x 254mm
  • Publication Date: 20 Jul 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Basic Analysis III: Mappings on Infinite Dimensional Spaces is intended as a first course in abstract linear analysis. This textbook cover metric spaces, normed linear spaces and inner product spaces, along with many other deeper abstract ideas such a completeness, operators and dual spaces. These topics act as an important tool in the development of a mathematically trained scientist.

Feature:

  • Can be used as a traditional textbook as well as for self-study
  • Suitable for undergraduates in mathematics and associated disciplines
  • Emphasizes 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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