Softcover ISBN: | 978-0-8218-4695-7 |
Product Code: | MBK/59 |
List Price: | $49.00 |
MAA Member Price: | $44.10 |
AMS Member Price: | $39.20 |
eBook ISBN: | 978-1-4704-1596-9 |
Product Code: | MBK/59.E |
List Price: | $45.00 |
MAA Member Price: | $40.50 |
AMS Member Price: | $36.00 |
Softcover ISBN: | 978-0-8218-4695-7 |
eBook: ISBN: | 978-1-4704-1596-9 |
Product Code: | MBK/59.B |
List Price: | $94.00 $71.50 |
MAA Member Price: | $84.60 $64.35 |
AMS Member Price: | $75.20 $57.20 |
Softcover ISBN: | 978-0-8218-4695-7 |
Product Code: | MBK/59 |
List Price: | $49.00 |
MAA Member Price: | $44.10 |
AMS Member Price: | $39.20 |
eBook ISBN: | 978-1-4704-1596-9 |
Product Code: | MBK/59.E |
List Price: | $45.00 |
MAA Member Price: | $40.50 |
AMS Member Price: | $36.00 |
Softcover ISBN: | 978-0-8218-4695-7 |
eBook ISBN: | 978-1-4704-1596-9 |
Product Code: | MBK/59.B |
List Price: | $94.00 $71.50 |
MAA Member Price: | $84.60 $64.35 |
AMS Member Price: | $75.20 $57.20 |
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Book Details2008; 298 ppMSC: Primary 00
There are many bits and pieces of folklore in mathematics that are passed down from advisor to student, or from collaborator to collaborator, but which are too fuzzy and non-rigorous to be discussed in the formal literature. Traditionally, it was a matter of luck and location as to who learned such folklore mathematics. But today, such bits and pieces can be communicated effectively and efficiently via the semiformal medium of research blogging. This book grew from such a blog.
In 2007, Terry Tao began a mathematical blog, as an outgrowth of his own website at UCLA. This book is based on a selection of articles from the first year of that blog. These articles discuss a wide range of mathematics and its applications, ranging from expository articles on quantum mechanics, Einstein's equation \(E=mc^2\), or compressed sensing, to open problems in analysis, combinatorics, geometry, number theory, and algebra, to lecture series on random matrices, Fourier analysis, or the dichotomy between structure and randomness that is present in many subfields of mathematics, to more philosophical discussions on such topics as the interplay between finitary and infinitary in analysis. Some selected commentary from readers of the blog has also been included at the end of each article. While the articles vary widely in subject matter and level, they should be broadly accessible to readers with a general graduate mathematics background; the focus in many articles is on the “big picture” and on informal discussion, with technical details largely being left to the referenced literature.
ReadershipGraduate students and research mathematicians interested in broad exposure to mathematical topics, particularly in analysis.
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Table of Contents
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Chapters
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Chapter 1. Expository articles
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Chapter 2. Lectures
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Chapter 3. Open problems
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Additional Material
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Reviews
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Tao does a fine job of providing new insights into old ideas, building intuition about why results come out the way they do, exploring why certain problems are at once interesting and hard, and explaining tricks. ...Tao has a book, and a blog, that mathematicians will definitely want to read, either on their screens or on dead trees, and it will be of interest to mathematically sophisticated readers coming from physics, statistics, economics, computer science and doubtless other disciplines. In Structure and Randomness we have a fascinating glimpse into the mind of one of the best mathematicians working today.
Cosma Shalizi, American Scientist
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RequestsReview Copy – for publishers of book reviewsPermission – for use of book, eBook, or Journal contentAccessibility – to request an alternate format of an AMS title
- Book Details
- Table of Contents
- Additional Material
- Reviews
- Requests
There are many bits and pieces of folklore in mathematics that are passed down from advisor to student, or from collaborator to collaborator, but which are too fuzzy and non-rigorous to be discussed in the formal literature. Traditionally, it was a matter of luck and location as to who learned such folklore mathematics. But today, such bits and pieces can be communicated effectively and efficiently via the semiformal medium of research blogging. This book grew from such a blog.
In 2007, Terry Tao began a mathematical blog, as an outgrowth of his own website at UCLA. This book is based on a selection of articles from the first year of that blog. These articles discuss a wide range of mathematics and its applications, ranging from expository articles on quantum mechanics, Einstein's equation \(E=mc^2\), or compressed sensing, to open problems in analysis, combinatorics, geometry, number theory, and algebra, to lecture series on random matrices, Fourier analysis, or the dichotomy between structure and randomness that is present in many subfields of mathematics, to more philosophical discussions on such topics as the interplay between finitary and infinitary in analysis. Some selected commentary from readers of the blog has also been included at the end of each article. While the articles vary widely in subject matter and level, they should be broadly accessible to readers with a general graduate mathematics background; the focus in many articles is on the “big picture” and on informal discussion, with technical details largely being left to the referenced literature.
Graduate students and research mathematicians interested in broad exposure to mathematical topics, particularly in analysis.
-
Chapters
-
Chapter 1. Expository articles
-
Chapter 2. Lectures
-
Chapter 3. Open problems
-
Tao does a fine job of providing new insights into old ideas, building intuition about why results come out the way they do, exploring why certain problems are at once interesting and hard, and explaining tricks. ...Tao has a book, and a blog, that mathematicians will definitely want to read, either on their screens or on dead trees, and it will be of interest to mathematically sophisticated readers coming from physics, statistics, economics, computer science and doubtless other disciplines. In Structure and Randomness we have a fascinating glimpse into the mind of one of the best mathematicians working today.
Cosma Shalizi, American Scientist