Binary Quadratic Forms: Classical Theory and Modern Computations

Buell, Duncan A.

ISBN 10: 0387970371 / ISBN 13: 9780387970370

Verlag: Springer, New York, NY, 1989

Beschreibung

Complete number line from 1 to 9; previous owner's name on front end paper; otherwise a solid, clean copy with no marking or underlining; collectible condition. Bestandsnummer des Verkäufers 015876

Bibliografische Details

Titel: Binary Quadratic Forms: Classical Theory and...

Verlag: Springer, New York, NY

Erscheinungsdatum: 1989

Einband: Hardcover

Zustand: Near Fine

Zustand des Schutzumschlags: No Jacket as Issued

Auflage: American First.

Art des Buches: Book

Über diesen Titel

Inhaltsangabe:

Book by Buell Duncan A

Reseña del editor:

The first coherent exposition of the theory of binary quadratic forms was given by Gauss in the Disqnisitiones Arithmeticae. During the nine­ teenth century, as the theory of ideals and the rudiments of algebraic number theory were developed, it became clear that this theory of bi­ nary quadratic forms, so elementary and computationally explicit, was indeed just a special case of a much more elega,nt and abstract theory which, unfortunately, is not computationally explicit. In recent years the original theory has been laid aside. Gauss's proofs, which involved brute force computations that can be done in what is essentially a two­ dimensional vector space, have been dropped in favor of n-dimensional arguments which prove the general theorems of algebraic number the­ ory. In consequence, this elegant, yet pleasantly simple, theory has been neglected even as some of its results have become extremely useful in certain computations. I find this neglect unfortunate, because binary quadratic forms have two distinct attractions. First, the subject involves explicit computa­ tion and many of the computer programs can be quite simple. The use of computers in experimenting with examples is both meaningful and enjoyable; one can actually discover interesting results by com­ puting examples, noticing patterns in the "data," and then proving that the patterns result from the conclusion of some provable theorem.