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Early Fourier Analysis
 
Hugh L. Montgomery University of Michigan, Ann Arbor, MI
Early Fourier Analysis
Hardcover ISBN:  978-1-4704-1560-0
Product Code:  AMSTEXT/22
List Price: $89.00
MAA Member Price: $80.10
AMS Member Price: $71.20
eBook ISBN:  978-1-4704-2038-3
Product Code:  AMSTEXT/22.E
List Price: $85.00
MAA Member Price: $76.50
AMS Member Price: $68.00
Hardcover ISBN:  978-1-4704-1560-0
eBook: ISBN:  978-1-4704-2038-3
Product Code:  AMSTEXT/22.B
List Price: $174.00 $131.50
MAA Member Price: $156.60 $118.35
AMS Member Price: $139.20 $105.20
Early Fourier Analysis
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Early Fourier Analysis
Hugh L. Montgomery University of Michigan, Ann Arbor, MI
Hardcover ISBN:  978-1-4704-1560-0
Product Code:  AMSTEXT/22
List Price: $89.00
MAA Member Price: $80.10
AMS Member Price: $71.20
eBook ISBN:  978-1-4704-2038-3
Product Code:  AMSTEXT/22.E
List Price: $85.00
MAA Member Price: $76.50
AMS Member Price: $68.00
Hardcover ISBN:  978-1-4704-1560-0
eBook ISBN:  978-1-4704-2038-3
Product Code:  AMSTEXT/22.B
List Price: $174.00 $131.50
MAA Member Price: $156.60 $118.35
AMS Member Price: $139.20 $105.20
  • Book Details
     
     
    Pure and Applied Undergraduate Texts
    Volume: 222014; 390 pp
    MSC: Primary 42

    Hugh Montgomery has written a book which both students and faculty should appreciate. I wish it had been written 15 years ago so I could have shared it with students. It is a gem.

    Richard Askey, University of Wisconsin-Madison

    Montgomery has written an exquisite text combining basic material, exciting examples, advanced topics, wonderful historical notes, and excellent exercises. It is absolutely compelling and masterful!

    John Benedetto, University of Maryland

    This nice book is likely to be especially successful. l feel that the author has managed admirably to bring to light both the beauty and the usefulness of Fourier's idea, thus making the first introduction to Fourier analysis a joy for undergraduates. All the details are included in a way that is both attractive and easy for students to follow.

    Palle Jorgensen, University of Iowa, author of “Wavelets Through a Looking Glass”

    Fourier Analysis is an important area of mathematics, especially in light of its importance in physics, chemistry, and engineering. Yet it seems that this subject is rarely offered to undergraduates. This book introduces Fourier Analysis in its three most classical settings: The Discrete Fourier Transform for periodic sequences, Fourier Series for periodic functions, and the Fourier Transform for functions on the real line.

    The presentation is accessible for students with just three or four terms of calculus, but the book is also intended to be suitable for a junior-senior course, for a capstone undergraduate course, or for beginning graduate students. Material needed from real analysis is quoted without proof, and issues of Lebesgue measure theory are treated rather informally. Included are a number of applications of Fourier Series, and Fourier Analysis in higher dimensions is briefly sketched. A student may eventually want to move on to Fourier Analysis discussed in a more advanced way, either by way of more general orthogonal systems, or in the language of Banach spaces, or of locally compact commutative groups, but the experience of the classical setting provides a mental image of what is going on in an abstract setting.

    Readership

    Undergraduate and graduate students interested in learning Fourier analysis.

  • Table of Contents
     
     
    • Cover
    • Title page
    • Contents
    • Preface
    • Chapter 0. Background
    • Chapter 1. Complex numbers
    • Chapter 2. The discrete Fourier transform
    • Chapter 3. Fourier coefficients and first Fourier series
    • Chapter 4. Summability of Fourier series
    • Chapter 5. Fourier series in mean square
    • Chapter 6. Trigonometric polynomials
    • Chapter 7. Absolutely convergent Fourier series
    • Chapter 8. Convergence of Fourier series
    • Chapter 9. Applications of Fourier series
    • Chapter 10. The Fourier transform
    • Chapter 11. Higher dimensions
    • Appendix B. The binomial theorem
    • Appendix C. Chebyshev polynomials
    • Appendix F. Applications of the fundamental theorem of algebra
    • Appendix I. Inequalities
    • Appendix L. Topics in linear algebra
    • Appendix O. Orders of magnitude
    • Appendix T. Trigonometry
    • References
    • Notation
    • Index
    • Back Cover
  • Reviews
     
     
    • This is a very good book, and the publishers may feel proud to publish it. It is of interest and usefulness both for instructors and for students of all levels and various specialties. I believe that researchers will also find enough interesting points in the text.

      Zentralblatt fur Mathematik
    • This is a polished introduction to classical Fourier analysis designed for students early in their undergraduate career, perhaps even just after a third term of calculus. The author, well-known number-theorist, Hugh Montgomery, says that such students will find in his book '... a gentle introduction to the art of writing proofs and will be better prepared for advanced calculus and complex variables.' ...portions of the book might work very well for a capstone course or independent study.

      MAA Reviews
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Desk Copy – for instructors who have adopted an AMS textbook for a course
    Examination Copy – for faculty considering an AMS textbook for a course
    Permission – for use of book, eBook, or Journal content
    Accessibility – to request an alternate format of an AMS title
Volume: 222014; 390 pp
MSC: Primary 42

Hugh Montgomery has written a book which both students and faculty should appreciate. I wish it had been written 15 years ago so I could have shared it with students. It is a gem.

Richard Askey, University of Wisconsin-Madison

Montgomery has written an exquisite text combining basic material, exciting examples, advanced topics, wonderful historical notes, and excellent exercises. It is absolutely compelling and masterful!

John Benedetto, University of Maryland

This nice book is likely to be especially successful. l feel that the author has managed admirably to bring to light both the beauty and the usefulness of Fourier's idea, thus making the first introduction to Fourier analysis a joy for undergraduates. All the details are included in a way that is both attractive and easy for students to follow.

Palle Jorgensen, University of Iowa, author of “Wavelets Through a Looking Glass”

Fourier Analysis is an important area of mathematics, especially in light of its importance in physics, chemistry, and engineering. Yet it seems that this subject is rarely offered to undergraduates. This book introduces Fourier Analysis in its three most classical settings: The Discrete Fourier Transform for periodic sequences, Fourier Series for periodic functions, and the Fourier Transform for functions on the real line.

The presentation is accessible for students with just three or four terms of calculus, but the book is also intended to be suitable for a junior-senior course, for a capstone undergraduate course, or for beginning graduate students. Material needed from real analysis is quoted without proof, and issues of Lebesgue measure theory are treated rather informally. Included are a number of applications of Fourier Series, and Fourier Analysis in higher dimensions is briefly sketched. A student may eventually want to move on to Fourier Analysis discussed in a more advanced way, either by way of more general orthogonal systems, or in the language of Banach spaces, or of locally compact commutative groups, but the experience of the classical setting provides a mental image of what is going on in an abstract setting.

Readership

Undergraduate and graduate students interested in learning Fourier analysis.

  • Cover
  • Title page
  • Contents
  • Preface
  • Chapter 0. Background
  • Chapter 1. Complex numbers
  • Chapter 2. The discrete Fourier transform
  • Chapter 3. Fourier coefficients and first Fourier series
  • Chapter 4. Summability of Fourier series
  • Chapter 5. Fourier series in mean square
  • Chapter 6. Trigonometric polynomials
  • Chapter 7. Absolutely convergent Fourier series
  • Chapter 8. Convergence of Fourier series
  • Chapter 9. Applications of Fourier series
  • Chapter 10. The Fourier transform
  • Chapter 11. Higher dimensions
  • Appendix B. The binomial theorem
  • Appendix C. Chebyshev polynomials
  • Appendix F. Applications of the fundamental theorem of algebra
  • Appendix I. Inequalities
  • Appendix L. Topics in linear algebra
  • Appendix O. Orders of magnitude
  • Appendix T. Trigonometry
  • References
  • Notation
  • Index
  • Back Cover
  • This is a very good book, and the publishers may feel proud to publish it. It is of interest and usefulness both for instructors and for students of all levels and various specialties. I believe that researchers will also find enough interesting points in the text.

    Zentralblatt fur Mathematik
  • This is a polished introduction to classical Fourier analysis designed for students early in their undergraduate career, perhaps even just after a third term of calculus. The author, well-known number-theorist, Hugh Montgomery, says that such students will find in his book '... a gentle introduction to the art of writing proofs and will be better prepared for advanced calculus and complex variables.' ...portions of the book might work very well for a capstone course or independent study.

    MAA Reviews
Review Copy – for publishers of book reviews
Desk Copy – for instructors who have adopted an AMS textbook for a course
Examination Copy – for faculty considering an AMS textbook for a course
Permission – for use of book, eBook, or Journal content
Accessibility – to request an alternate format of an AMS title
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