Elimination Methods

The development of polynomial-elimination techniques from classical theory to modern algorithms has undergone a tortuous and rugged path. This can be observed L. van der Waerden's elimination of the "elimination theory" chapter from from B. his classic Modern Algebra in later editions, A. Weil's hope to eliminate "from algebraic geometry the last traces of elimination theory," and S. Abhyankar's sug gestion to "eliminate the eliminators of elimination theory. " The renaissance and recognition of polynomial elimination owe much to the advent and advance of mod ern computing technology, based on which effective algorithms are implemented and applied to diverse problems in science and engineering. In the last decade, both theorists and practitioners have more and more realized the significance and power of elimination methods and their underlying theories. Active and extensive research has contributed a great deal of new developments on algorithms and soft ware tools to the subject, that have been widely acknowledged. Their applications have taken place from pure and applied mathematics to geometric modeling and robotics, and to artificial neural networks. This book provides a systematic and uniform treatment of elimination algo rithms that compute various zero decompositions for systems of multivariate poly nomials. The central concepts are triangular sets and systems of different kinds, in terms of which the decompositions are represented. The prerequisites for the concepts and algorithms are results from basic algebra and some knowledge of algorithmic mathematics.

van der Waerden's elimination of the "elimination theory" chapter from from B. " The renaissance and recognition of polynomial elimination owe much to the advent and advance of mod ern computing technology, based on which effective algorithms are implemented and applied to diverse problems in science and engineering.

Polynomial arithmetic and zeros.- 1.1 Polynomials.- 1.2 Greatest common divisor, pseudo-division, and polynomial remainder sequences.- 1.3 Resultants and subresultants.- 1.4 Field extension and factorization.- 1.5 Zeros and ideals.- 1.6 Hilbert's Nullstellensatz.- Zero decomposition of polynomial systems.- 2.1 Triangular systems.- 2.2 Characteristic-set-based algorithm.- 2.3 Seidenberg's algorithm refined.- 2.4 Subresultant-based algorithm.- Projection and simple systems.- 3.1 Projection.- 3.2 Zero decomposition with projection.- 3.3 Decomposition into simple systems.- 3.4 Properties of simple systems.- Irreducible zero decomposition.- 4.1 Irreducibility of triangular sets.- 4.2 Decomposition into irreducible triangular systems.- 4.3 Properties of irreducible triangular systems.- 4.4 Irreducible simple systems.- Various elimination algorithms.- 5.1 Regular systems.- 5.2 Canonical triangular sets.- 5.3 Gröbner bases.- 5.4 Resultant elimination.- Computational algebraic geometry and polynomial-ideal theory.- 6.1 Dimension.- 6.2 Decomposition of algebraic varieties.- 6.3 Ideal and radical ideal membership.- 6.4 Primary decomposition of ideals.- Applications.- 7.1 Solving polynomial systems.- 7.2 Automated geometry theorem proving.- 7.3 Automatic derivation of unknown relations.- 7.4 Other geometric applications.- 7.5 Algebraic factorization.- 7.6 Center conditions for certain differential systems.- Bibliographic notes.- References.