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arXiv:math/9802122v1 [math.CO] 27 Feb 1998
arXiv:math/9802122v1 [math.CO] 27 Feb 1998

Enumerating large orbits and direct condensation
Enumerating large orbits and direct condensation

... enumerating large orbits will be useful for other applications as well. The result in 5.3 is of independent interest because it can be used to finish the determination of the decomposition numbers of the symmetric groups Sn , 21 ≤ n ≤ 23, in characteristic 5. These were previously unknown. The empha ...
LATTICES WITH SYMMETRY 1. Introduction Let G be a finite
LATTICES WITH SYMMETRY 1. Introduction Let G be a finite

A Backward Stable Hyperbolic QR Factorization Method for Solving
A Backward Stable Hyperbolic QR Factorization Method for Solving

Say Hello to Algebra 2
Say Hello to Algebra 2

... negative x negative = positive negative x positive = negative ...
Universal exponential solution of the Yang
Universal exponential solution of the Yang

Section X.55. Cyclotomic Extensions
Section X.55. Cyclotomic Extensions

... Note. Recall that the nth roots of unity in C form the group Un and Un is isomorphic to Zn. So Un is a cyclic group. The elements of Un which generate Un are called primitive roots of unity (this definition is given in the exercises of Section 6). By Corollary 6.16, a cyclic group of order n has φ(n ...
Intersection Theory course notes
Intersection Theory course notes

... polynomials (identified with the points in Cn ) can be connected by a path avoiding all nongeneric polynomials (this is exactly what fails over real numbers). This follows from the simple but very important fact stated below. Lemma 2.2 Let X be an irreducible complex algebraic variety, and Y ⊂ X a s ...
CM121A, Introduction to Abstract Algebra, Sample Clas Test 2
CM121A, Introduction to Abstract Algebra, Sample Clas Test 2

Arithmetic Circuits and Identity Testing
Arithmetic Circuits and Identity Testing

POSET STRUCTURES ON (m + 2)
POSET STRUCTURES ON (m + 2)

Non-Commutative Arithmetic Circuits with Division
Non-Commutative Arithmetic Circuits with Division

... and presence of inversion gates. Combined with Reutenauer’s theorem, this implies that the inverse of an n × n matrix cannot be computed by a formula smaller than 2Ω(n) . In circuit complexity, one keeps searching for properties that would imply that a function is hard to compute. For a polynomial f ...
Non-Commutative Arithmetic Circuits with Division
Non-Commutative Arithmetic Circuits with Division

File
File

1 Prior work on matrix multiplication 2 Matrix multiplication is
1 Prior work on matrix multiplication 2 Matrix multiplication is

... Transitive Closure on an undirected graph is trivial in linear time– just compute the connected components. In contrast, we will show that for directed graphs the problem is equivalent to BMM. Theorem 5.1. Transitive closure is equivalent to BMM Proof. We prove equivalence in both directions. Claim ...
Abel–Ruffini theorem
Abel–Ruffini theorem

... A first attempt at proving the theorem was made by d'Alembert in 1746, but his proof was incomplete. Among other problems, it assumed implicitly a theorem (now known as Puiseux's theorem) which would not be proved until more than a century later, and furthermore the proof assumed the fundamental the ...
Document
Document

Number theory.pdf
Number theory.pdf

Hybrid Model of Fixed and Floating Point Numbers in Secure
Hybrid Model of Fixed and Floating Point Numbers in Secure

... previous protocols, this one requires network communication to evaluate Jx · yK. • PublicBitShiftRightProtocol(JxK, k). Takes a secret shared value JxK and a public integer k and outputs Jx ≫ kK where x ≫ k is equal to x shifted right by k bits. x ≫ k is equal to 2xk ...
6.6 The Fundamental Theorem of Algebra
6.6 The Fundamental Theorem of Algebra

... Descarte’s Rule of Signs • Descarte’s Rule of Signs is a method for finding the number and sign of real roots of a polynomial equation in standard form. • The number of positive real roots of a polynomial equation, with real coefficients, is equal to the number of sign changes (from positive to neg ...
Ring Theory
Ring Theory

Non-commutative arithmetic circuits with division
Non-commutative arithmetic circuits with division

Non-commutative arithmetic circuits with division
Non-commutative arithmetic circuits with division

24 pp. pdf
24 pp. pdf

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Polynomial greatest common divisor

In algebra, the greatest common divisor (frequently abbreviated as GCD) of two polynomials is a polynomial, of the highest possible degree, that is a factor of both the two original polynomials. This concept is analogous to the greatest common divisor of two integers.In the important case of univariate polynomials over a field the polynomial GCD may be computed, like for the integer GCD, by Euclid's algorithm using long division. The polynomial GCD is defined only up to the multiplication by an invertible constant.The similarity between the integer GCD and the polynomial GCD allows us to extend to univariate polynomials all the properties that may be deduced from Euclid's algorithm and Euclidean division. Moreover, the polynomial GCD has specific properties that make it a fundamental notion in various areas of algebra. Typically, the roots of the GCD of two polynomials are the common roots of the two polynomials, and this allows to get information on the roots without computing them. For example, the multiple roots of a polynomial are the roots of the GCD of the polynomial and its derivative, and further GCD computations allow to compute the square-free factorization of the polynomial, which provides polynomials whose roots are the roots of a given multiplicity.The greatest common divisor may be defined and exists, more generally, for multivariate polynomials over a field or the ring of integers, and also over a unique factorization domain. There exist algorithms to compute them as soon as one has a GCD algorithm in the ring of coefficients. These algorithms proceed by a recursion on the number of variables to reduce the problem to a variant of Euclid's algorithm. They are a fundamental tool in computer algebra, because computer algebra systems use them systematically to simplify fractions. Conversely, most of the modern theory of polynomial GCD has been developed to satisfy the need of efficiency of computer algebra systems.
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