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Introduction to Hilbert Spaces with Applications, Second Edition
 
 

Introduction to Hilbert Spaces with Applications, Second Edition [Hardcover]

Lokenath Debnath (Editor), Piotr Mikusinski (Editor)
5.0 out of 5 stars  See all reviews (3 customer reviews)


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Book Description

0122084365 978-0122084362 October 29, 1998 2
Continuing on the success of the previous edition, Introduction to Hilbert Spaces with Applications, Second Edition, offers an overview of the basic ideas and results of Hilbert space theory and functional analysis. It acquaints students with the Lebesque integral, and includes an enhanced presentation of results and proofs. Students and researchers benefit from the wealth of revised examples in new, diverse applications as they apply to optimization, variational and control problems, and problems in approximation theory, nonlinear instability, and bifurcation. The text also includes a new, well-researched chapter on wavelets. Students and researchers agree that this is the definitive text on Hilbert Space theory.


* Systematic exposition of the basic ideas and results of Hilbert space theory
* Introduction to the Lebesgue integral
* New chapter on wavelets
* Improved presentation on results and proof
* Revised examples and updated applications
* Completely updated list of references


Editorial Reviews

Review

"This will make an excelland textbook for senior undergraduates and beginning graduate students interested in learning functional analysis and about the wide array of practical problems that it can help solve."
--JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, December 1999.

Book Description

Updated edition presents readers with the basic ideas and results of Hilbert space theory and functional analysis --This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 551 pages
  • Publisher: Academic Press; 2 edition (October 29, 1998)
  • Language: English
  • ISBN-10: 0122084365
  • ISBN-13: 978-0122084362
  • Product Dimensions: 9.3 x 6.3 x 1.4 inches
  • Shipping Weight: 2.3 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,030,812 in Books (See Top 100 in Books)

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Average Customer Review
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Most Helpful Customer Reviews

17 of 20 people found the following review helpful:
5.0 out of 5 stars Good book to teach yourself this interesting subject, August 11, 2003
By A Customer
This review is from: Introduction to Hilbert Spaces with Applications, Second Edition (Hardcover)
I'm a statistician who has been using Part 1 of this book to teach myself the basics of Hilbert space theory. So far, I've been very pleased with it.

I've only run into one argument that assumed a fact that wasn't made fairly plain earlier in the development (for Corollary 4.6.1, I had to resort to Rudin's Functional Analysis text to learn why everywhere-defined positive operators on Hilbert spaces are bounded). Functional analysis seems to be a subject where you'll want to have a few different texts on hand in case what one author considers obvious is not so obvious to you!

Nice features of this book include

--an interesting proof of the Banach-Steinhaus theorem that uses a clever Diagonalization Theorem instead of the Baire Category theorem

--an entire chapter introducing the Lebesgue integral and developing its properties without auxiliary concepts such as measure: I found this chapter to be an interesting alternative way to look at the Lebesgue integral. My only quibble with it is that it quotes a version of Fatou's lemma that only applies to functions with limits (almost everywhere). In probability theory, Fatou's lemma is often applied on liminf's and limsup's of functions that don't have limits

--including the Lebesque integral chapter, a total of four solid chapters that develop the theory systematically and clearly enough for careful readers to follow. These comprise Part 1, which I'm almost finished with.

--five chapters with applications. I've only skimmed these, but together they really make this book seem like a terrific value. There's a chapter on applications to integral and differential equations, one on generalized functions and PDEs (e.g. distribution theory), a really interesting looking chapter on Quantum Mechanics, a chapter on wavelets that includes a terrific and concise section with historical remarks and a chapter on optimization problems, including the Frechet and Gateaux differentials, which comprise one of my major motivations for reading this book

--answers to selected exercises (HOORAY!)

This book can be used as the primary text for people who want to acquire a good understanding of Hilbert space theory so that they can use it to solve applied problems: at least, that's how I'm trying to use it! This book is a good value for scientists and engineers.

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13 of 16 people found the following review helpful:
5.0 out of 5 stars Very good book, December 5, 2003
Lokenath Debnath, like many authors from India, I am finding, write solid mathematical texts. These texts tend to be well-organized, clear, and do not leave out or fail to emphasize important concepts. The proofs are easy to understand. It does not take a week just to read a few pages.

This book by Debnath, is a good example of a book fitting the above criteria. It is an excellent book for self-study of Hilbert spaces, Fourier Transforms and other subjects in Functional Analysis. I found it to be a useful supplement to Folland's "Real Analysis" which I used as a 1st-year graduate student in mathematics. In fact, this book saved me a few times, when I had to figure out solutions to difficult homework excercises. One example comes to mind is a homework assignment (I think that it was out of Folland's book) involving Rademacher and Walsh functions, which are covered in this book. I also found this text for useful in studying for my candidacy examination.

In summary, this book is would make an excellent addition to your library. (If you are also interested in the subject of elliptic functions, then "Elliptic and Associated Functions with Applications" by Debnath and M. Dutta (World Press Private Ltd., Calcutta, 1965), may interest you. It is, like the above text, excellent, but very difficult to find!)

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12 of 17 people found the following review helpful:
5.0 out of 5 stars Great and Clear, April 19, 2000
By A Customer
This review is from: Introduction to Hilbert Spaces with Applications, Second Edition (Hardcover)
Debhath and Mikusinski used great and clear Mathematics and diagrams to explain the theory and applications. I especially like chapter seven "Mathematical Foundations of Quantum Mechanics" and chapter eight "Wavelet". This book is suitable for graduate engineering students.
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Inside This Book (learn more)
First Sentence:
The basic algebraic concepts in the theory of Hilbert spaces are those of a vector space and an inner product. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
complete orthonormal sequence, summability kernel, observable operator, bilinear functional, frame operator, inner product space, bounded linear mappings, normed space, isometric operator, densely defined operator, orthonormal system, locally integrable function, approximate eigenvalue, multiresolution analysis, continuous wavelet transform
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proof Let, Convolution Theorem, Prove Theorem, Lax-Milgram Theorem, Lebesgue Dominated Convergence Theorem, Banach Fixed Point Theorem, Correspondence Principle, Monotone Convergence Theorem, Banach-Steinhaus Theorem, Fubini Theorem, Applications Example, Applications Theorem, Diagonal Theorem, Fatou's Lemma, Plancherel's Theorem, Proof First, Theory Theorem
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