| Introduction to Integration Contributor(s): Priestley, H. A. (Author) |
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ISBN: 0198501234 ISBN-13: 9780198501237 Publisher: Clarendon Press OUR PRICE: $57.00 Product Type: Paperback - Other Formats Published: December 1997 Annotation: Introduction to Integration provides a unified account of integration theory, giving a practical guide to the Lebesgue integral and its uses, with a wealth of examples and exercises. Intended as a first course in integration theory for students familiar with real analysis, the book begins with a simplified Lebesgue integral, which is then developed to provide an entry point for important results in the field. The final chapters present selected applications, mostly drawn from Fourier analysis. The emphasis throughout is on integrable functions rather than on measures. Designed as an undergraduate or graduate textbook, it is a companion volume to the author's Introduction to Complex Analysis and is aimed at both pure and applied mathematicians. |
| Additional Information |
| BISAC Categories: - Mathematics | Calculus - Mathematics | Mathematical Analysis - Mathematics | Functional Analysis |
| Dewey: 515.43 |
| LCCN: 98113423 |
| Series: Oxford Science Publications |
| Physical Information: 0.71" H x 6.14" W x 9.12" (1.04 lbs) 318 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Introduction to Integration provides a unified account of integration theory, giving a practical guide to the Lebesgue integral and its uses, with a wealth of examples and exercises. Intended as a first course in integration theory for students familiar with real analysis, the book begins with a simplified Lebesgue integral, which is then developed to provide an entry point for important results in the field. The final chapters present selected applications, mostly drawn from Fourier analysis. The emphasis throughout is on integrable functions rather than on measures. Designed as an undergraduate or graduate textbook, it is a companion volume to the author's Introduction to Complex Analysis and is aimed at both pure and applied mathematicians. |