Complex Analysis (Princeton Lectures in Analysis, No. 2) free ebook download.

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Complex Analysis (Princeton Lectures in Analysis, No. 2) free ebook download

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Author(s):	Elias M. Stein

Date:	2003	Format:	pdf	Language:	English	ISBN/ASIN:	0691113858
Pages:	400	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	9/17/2024 5:48:41 AM

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0691113858 pdf
With this second volume, we enter the intriguing world of complex analysis. From the first theorems on, the elegance and sweep of the results is evident. The starting point is the simple idea of extending a function initially given for real values of the argument to one that is defined when the argument is complex. From there, one proceeds to the main properties of holomorphic functions, whose proofs are generally short and quite illuminating: the Cauchy theorems, residues, analytic continuation, the argument principle.

With this background, the reader is ready to learn a wealth of additional material connecting the subject with other areas of mathematics: the Fourier transform treated by contour integration, the zeta function and the prime number theorem, and an introduction to elliptic functions culminating in their application to combinatorics and number theory.

Thoroughly developing a subject with many ramifications, while striking a careful balance between conceptual insights and the technical underpinnings of rigorous analysis, Complex Analysis will be welcomed by students of mathematics, physics, engineering and other sciences.

The Princeton Lectures in Analysis represents a sustained effort to introduce the core areas of mathematical analysis while also illustrating the organic unity between them. Numerous examples and applications throughout its four planned volumes, of which Complex Analysis is the second, highlight the far-reaching consequences of certain ideas in analysis to other fields of mathematics and a variety of sciences. Stein and Shakarchi move from an introduction addressing Fourier series and integrals to in-depth considerations of complex analysis  measure and integration theory, and Hilbert spaces  and, finally, further topics such as functional analysis, distributions and elements of probability theory.

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