eBook ISBN: | 978-1-4704-0782-7 |
Product Code: | MEMO/67/366.E |
List Price: | $42.00 |
MAA Member Price: | $37.80 |
AMS Member Price: | $25.20 |
eBook ISBN: | 978-1-4704-0782-7 |
Product Code: | MEMO/67/366.E |
List Price: | $42.00 |
MAA Member Price: | $37.80 |
AMS Member Price: | $25.20 |
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Book DetailsMemoirs of the American Mathematical SocietyVolume: 67; 1987; 257 ppMSC: Primary 35; Secondary 32
This book is aimed at researchers in complex analysis, several complex variables, or partial differential equations. Kuranishi proved that any abstract strongly pseudo convex CR-structure of real dimension \(\geq 9\) can be locally embedded in a complex euclidean space. For the case of real dimension \(=3\), there is the famous Nirenberg counterexample, but the cases of real dimension \(= 5\) or 7 were left open. The author of this book establishes the result for real dimension \(=7\) and, at the same time, presents a new approach to Kuranishi's result.
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Table of Contents
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Chapters
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Part I. $D_b^f$-estimate
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1. Preparations
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2. An a priori estimate for $D^\psi _b$
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3. Some estimate for $\square ^\psi _b$
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4. An a priori estimate for $D^f_b$
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5. Some estimate for $\square ^f_b$
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6. The smoothing operator
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Part II. The construction of the solution
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7. The algorithm to constructing a sequence of embeddings
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8. The local embedding theorem
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This book is aimed at researchers in complex analysis, several complex variables, or partial differential equations. Kuranishi proved that any abstract strongly pseudo convex CR-structure of real dimension \(\geq 9\) can be locally embedded in a complex euclidean space. For the case of real dimension \(=3\), there is the famous Nirenberg counterexample, but the cases of real dimension \(= 5\) or 7 were left open. The author of this book establishes the result for real dimension \(=7\) and, at the same time, presents a new approach to Kuranishi's result.
-
Chapters
-
Part I. $D_b^f$-estimate
-
1. Preparations
-
2. An a priori estimate for $D^\psi _b$
-
3. Some estimate for $\square ^\psi _b$
-
4. An a priori estimate for $D^f_b$
-
5. Some estimate for $\square ^f_b$
-
6. The smoothing operator
-
Part II. The construction of the solution
-
7. The algorithm to constructing a sequence of embeddings
-
8. The local embedding theorem