Gr6bner Bases and Primary Decomposition of Polynomial Ideals
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Noncommutative Unique Factorization Domainso
NONCOMMUTATIVE UNIQUE FACTORIZATION DOMAINSO BY P. M. COHN 1. Introduction. By a (commutative) unique factorization domain (UFD) one usually understands an integral domain R (with a unit-element) satisfying the following three conditions (cf. e.g. Zariski-Samuel [16]): Al. Every element of R which is neither zero nor a unit is a product of primes. A2. Any two prime factorizations of a given element have the same number of factors. A3. The primes occurring in any factorization of a are completely deter- mined by a, except for their order and for multiplication by units. If R* denotes the semigroup of nonzero elements of R and U is the group of units, then the classes of associated elements form a semigroup R* / U, and A1-3 are equivalent to B. The semigroup R*jU is free commutative. One may generalize the notion of UFD to noncommutative rings by taking either A-l3 or B as starting point. It is obvious how to do this in case B, although the class of rings obtained is rather narrow and does not even include all the commutative UFD's. This is indicated briefly in §7, where examples are also given of noncommutative rings satisfying the definition. However, our principal aim is to give a definition of a noncommutative UFD which includes the commutative case. Here it is better to start from A1-3; in order to find the precise form which such a definition should take we consider the simplest case, that of noncommutative principal ideal domains. For these rings one obtains a unique factorization theorem simply by reinterpreting the Jordan- Holder theorem for right .R-modules on one generator (cf. -
F[X] Be an Irreducible Cubic X 3 + Ax 2 + Bx + Cw
Math 404 Assignment 3. Due Friday, May 3, 2013. Cubic equations. Let f(x) F [x] be an irreducible cubic x3 + ax2 + bx + c with roots ∈ x1, x2, x3, and splitting field K/F . Since each element of the Galois group permutes the roots, G(K/F ) is a subgroup of S3, the group of permutations of the three roots, and [K : F ] = G(K/F ) divides (S3) = 6. Since [F (x1): F ] = 3, we see that [K : F ] equals ◦ ◦ 3 or 6, and G(K/F ) is either A3 or S3. If G(K/F ) = S3, then K has a unique subfield of dimension 2, namely, KA3 . We have seen that the determinant J of the Jacobian matrix of the partial derivatives of the system a = (x1 + x2 + x3) − b = x1x2 + x2x3 + x3x1 c = (x1x2x3) − equals (x1 x2)(x2 x3)(x1 x3). − − − Formula. J 2 = a2b2 4a3c 4b3 27c2 + 18abc F . − − − ∈ An odd permutation of the roots takes J =(x1 x2)(x2 x3)(x1 x3) to J and an even permutation of the roots takes J to J. − − − − 1. Let f(x) F [x] be an irreducible cubic polynomial. ∈ (a). Show that, if J is an element of K, then the Galois group G(L/K) is the alternating group A3. Solution. If J F , then every element of G(K/F ) fixes J, and G(K/F ) must be A3, ∈ (b). Show that, if J is not an element of F , then the splitting field K of f(x) F [x] has ∈ Galois group G(K/F ) isomorphic to S3. -
January 10, 2010 CHAPTER SIX IRREDUCIBILITY and FACTORIZATION §1. BASIC DIVISIBILITY THEORY the Set of Polynomials Over a Field
January 10, 2010 CHAPTER SIX IRREDUCIBILITY AND FACTORIZATION §1. BASIC DIVISIBILITY THEORY The set of polynomials over a field F is a ring, whose structure shares with the ring of integers many characteristics. A polynomials is irreducible iff it cannot be factored as a product of polynomials of strictly lower degree. Otherwise, the polynomial is reducible. Every linear polynomial is irreducible, and, when F = C, these are the only ones. When F = R, then the only other irreducibles are quadratics with negative discriminants. However, when F = Q, there are irreducible polynomials of arbitrary degree. As for the integers, we have a division algorithm, which in this case takes the form that, if f(x) and g(x) are two polynomials, then there is a quotient q(x) and a remainder r(x) whose degree is less than that of g(x) for which f(x) = q(x)g(x) + r(x) . The greatest common divisor of two polynomials f(x) and g(x) is a polynomial of maximum degree that divides both f(x) and g(x). It is determined up to multiplication by a constant, and every common divisor divides the greatest common divisor. These correspond to similar results for the integers and can be established in the same way. One can determine a greatest common divisor by the Euclidean algorithm, and by going through the equations in the algorithm backward arrive at the result that there are polynomials u(x) and v(x) for which gcd (f(x), g(x)) = u(x)f(x) + v(x)g(x) . -
Selecting Polynomials for the Function Field Sieve
Selecting polynomials for the Function Field Sieve Razvan Barbulescu Université de Lorraine, CNRS, INRIA, France [email protected] Abstract The Function Field Sieve algorithm is dedicated to computing discrete logarithms in a finite field Fqn , where q is a small prime power. The scope of this article is to select good polynomials for this algorithm by defining and measuring the size property and the so-called root and cancellation properties. In particular we present an algorithm for rapidly testing a large set of polynomials. Our study also explains the behaviour of inseparable polynomials, in particular we give an easy way to see that the algorithm encompass the Coppersmith algorithm as a particular case. 1 Introduction The Function Field Sieve (FFS) algorithm is dedicated to computing discrete logarithms in a finite field Fqn , where q is a small prime power. Introduced by Adleman in [Adl94] and inspired by the Number Field Sieve (NFS), the algorithm collects pairs of polynomials (a; b) 2 Fq[t] such that the norms of a − bx in two function fields are both smooth (the sieving stage), i.e having only irreducible divisors of small degree. It then solves a sparse linear system (the linear algebra stage), whose solutions, called virtual logarithms, allow to compute the discrete algorithm of any element during a final stage (individual logarithm stage). The choice of the defining polynomials f and g for the two function fields can be seen as a preliminary stage of the algorithm. It takes a small amount of time but it can greatly influence the sieving stage by slightly changing the probabilities of smoothness. -
Effective Noether Irreducibility Forms and Applications*
Appears in Journal of Computer and System Sciences, 50/2 pp. 274{295 (1995). Effective Noether Irreducibility Forms and Applications* Erich Kaltofen Department of Computer Science, Rensselaer Polytechnic Institute Troy, New York 12180-3590; Inter-Net: [email protected] Abstract. Using recent absolute irreducibility testing algorithms, we derive new irreducibility forms. These are integer polynomials in variables which are the generic coefficients of a multivariate polynomial of a given degree. A (multivariate) polynomial over a specific field is said to be absolutely irreducible if it is irreducible over the algebraic closure of its coefficient field. A specific polynomial of a certain degree is absolutely irreducible, if and only if all the corresponding irreducibility forms vanish when evaluated at the coefficients of the specific polynomial. Our forms have much smaller degrees and coefficients than the forms derived originally by Emmy Noether. We can also apply our estimates to derive more effective versions of irreducibility theorems by Ostrowski and Deuring, and of the Hilbert irreducibility theorem. We also give an effective estimate on the diameter of the neighborhood of an absolutely irreducible polynomial with respect to the coefficient space in which absolute irreducibility is preserved. Furthermore, we can apply the effective estimates to derive several factorization results in parallel computational complexity theory: we show how to compute arbitrary high precision approximations of the complex factors of a multivariate integral polynomial, and how to count the number of absolutely irreducible factors of a multivariate polynomial with coefficients in a rational function field, both in the complexity class . The factorization results also extend to the case where the coefficient field is a function field. -
Assignment 2, Due 10/09 Before Class Begins
ASSIGNMENT 2, DUE 10/09 BEFORE CLASS BEGINS RANKEYA DATTA You may talk to each other while attempting the assignment, but you must write up your own solutions, preferably on TeX. You must also list the names of all your collaborators. You may not use resources such as MathStackExchange and MathOverflow. Please put some effort into solving the assignments since they will often develop important theory I will use in class. The assignments have to be uploaded on Gradescope. Please note that Gradescope will not accept late submissions. All rings are commutative. Problem 1. In this problem you will construct a non-noetherian ring. Consider the group G := Z ⊕ Z; with a total ordering as follows: (a1; b1) < (a2; b2) if and only if either a1 < a2 or a1 = a2 and b1 < b2. Here total ordering means that any two elements of G are comparable. Define a function ν : C(X; Y ) − f0g ! G P α β as follows: for a polynomial f = (α,β) cαβX Y 2 C[X; Y ] − f0g, ν(f) := minf(α; β): cαβ 6= 0g: For an arbitrary element f=g 2 C(X; Y ) − f0g, where f; g are polynomials, ν(f=g) := ν(f) − ν(g): (1) Show that ν is a well-defined group homomorphism. (2) Show that for all x; y 2 C(X; Y ) − f0g such that x + y 6= 0, ν(x + y) ≥ minfν(x); ν(y)g. (3) Show that Rν := fx 2 C(X; Y )−f0g : ν(x) ≥ (0; 0)g[f0g is a subring of C(X; Y ) containing C[X; Y ]. -
Generation of Irreducible Polynomials from Trinomials Over GF(2). I
INFORMATION AND CONTROL 30, 396-'407 (1976) Generation of Irreducible Polynomials from Trinomials over GF(2). I B. G. BAJOGA AND rvV. J. WALBESSER Department of Electrical Engineering, Ahmadu Bello University, Zaria, Nigeria Methods of generating irreducible polynomials from a given minimal polynomial are known. However, when dealing with polynomials of large degrees many of these methods are laborious, and computers have to be used. In this paper the problem of generating irreducible polynomials from trinomials is investigated. An efficient technique of computing the minimum polynomial of c~k over GF(2) for certain values of k, when the minimum polynomial of c~ is of the form x m 4- x + 1, is developed, and explicit formulae are given. INTRODUCTION The generation of irreducible polynomials over GF(2) has been a subject of a number of investigations mainly because these polynomials are important not only in the study of linear sequencies but also in BCH coding and decoding. Many results have been obtained (Albert, 1966; Daykin, 1960). Computational methods for generating minimal polynomials from a given irreducible polynomial have been developed. These have been described by Berlekamp (1968), Golomb (1967), and Lempel (1971), among others. Berlekamp observed that all these methods are helpful for hand calculation only if the minimal polynomial from which others are generated is of low degree. He further pointed out that it proves easiest to compute polynomials of large degree by computer using the matrix method. In addition these methods use algorithms. Seldom do they provide results of a general nature. However, utilizing the underlying ideas of the matrix method, some general results on generating irreducible polynomials from a large class of trinomials are derived in this paper. -
Optimal Irreducible Polynomials for GF(2M) Arithmetic
Optimal Irreducible Polynomials for GF(2m) arithmetic Michael Scott School of Computing Dublin City University GF(2m) polynomial representation A polynomial with coefficients either 0 or 1 (m is a small prime) Stored as an array of bits, of length m, packed into computer words Addition (and subtraction) – easy – XOR. No reduction required as bit length does not increase. GF(2m) arithmetic 1 Squaring, easy, simply insert 0 between coefficients. Example 110101 → 10100010001 Multiplication – artificially hard as instruction sets do not support “binary polynomial” multiplication, or “multiplication without carries” – which is actually simpler in hardware than integer multiplication! Really annoying! GF(2m) arithmetic 2 So we use Comb or Karatsuba methods… Squaring or multiplication results in a polynomial with 2m-1 coefficients. This must be reduced with respect to an irreducible polynomial, to yield a field element of m bits. For example for m=17, x17+x5+1 GF(2m) arithmetic 3 This trinomial has no factors (irreducible) Reduction can be performed using shifts and XORs x17+x5+1 = 100000000000100001 Example – reduce 10100101010101101010101 GF(2m) arithmetic 4 10100101010101101010101 100000000000100001 ⊕ 00100101010110000110101 ← 100101010110000110101 100000000000100001 ⊕ 000101010110100111101 ← 101010110100111101 100000000000100001 ⊕ 001010110100011100 ← 1010110100011100 → result! Reduction in software - 1 Consider the standard pentanomial x163+x7+x6+x3+1 Assume value to be reduced is represented as 11 32-bit words g[.] To -
Generalized Brauer Dimension of Semi-Global Fields
GENERALIZED BRAUER DIMENSION OF SEMI-GLOBAL FIELDS by SAURABH GOSAVI A dissertation submitted to the School of Graduate Studies Rutgers, The State University of New Jersey In partial fulfillment of the requirements For the degree of Doctor of Philosophy Graduate Program in Department of Mathematics Written under the direction of Daniel Krashen and approved by New Brunswick, New Jersey October, 2020 ABSTRACT OF THE DISSERTATION Generalized Brauer Dimension Of Semi-global Fields By Saurabh Gosavi Dissertation Director: Daniel Krashen Let F be a one variable function field over a complete discretely valued field with residue field k. Let n be a positive integer, coprime to the characteristic of k. Given a finite subgroup B in the n-torsion part of the Brauer group n Br F , we define the index of B to be the minimum of the degrees of field extensions which( ) split all elements in B. In this thesis, we improve an upper bound for the index of B, given by Parimala-Suresh, in terms of arithmetic invariants of k and k t . As a simple application of our result, given a quadratic form q F , where F is a function( ) field in one variable over an m-local field, we provide an upper-bound~ to the minimum of degrees of field extensions L F so that the Witt index of q L becomes the largest possible. ~ ⊗ ii Acknowledgements I consider myself fortunate to have met a number of people without whom this thesis would not have been possible. I am filled with a profound sense of gratitude towards my thesis advisor Prof. -
Commutative Algebra
Commutative Algebra Andrew Kobin Spring 2016 / 2019 Contents Contents Contents 1 Preliminaries 1 1.1 Radicals . .1 1.2 Nakayama's Lemma and Consequences . .4 1.3 Localization . .5 1.4 Transcendence Degree . 10 2 Integral Dependence 14 2.1 Integral Extensions of Rings . 14 2.2 Integrality and Field Extensions . 18 2.3 Integrality, Ideals and Localization . 21 2.4 Normalization . 28 2.5 Valuation Rings . 32 2.6 Dimension and Transcendence Degree . 33 3 Noetherian and Artinian Rings 37 3.1 Ascending and Descending Chains . 37 3.2 Composition Series . 40 3.3 Noetherian Rings . 42 3.4 Primary Decomposition . 46 3.5 Artinian Rings . 53 3.6 Associated Primes . 56 4 Discrete Valuations and Dedekind Domains 60 4.1 Discrete Valuation Rings . 60 4.2 Dedekind Domains . 64 4.3 Fractional and Invertible Ideals . 65 4.4 The Class Group . 70 4.5 Dedekind Domains in Extensions . 72 5 Completion and Filtration 76 5.1 Topological Abelian Groups and Completion . 76 5.2 Inverse Limits . 78 5.3 Topological Rings and Module Filtrations . 82 5.4 Graded Rings and Modules . 84 6 Dimension Theory 89 6.1 Hilbert Functions . 89 6.2 Local Noetherian Rings . 94 6.3 Complete Local Rings . 98 7 Singularities 106 7.1 Derived Functors . 106 7.2 Regular Sequences and the Koszul Complex . 109 7.3 Projective Dimension . 114 i Contents Contents 7.4 Depth and Cohen-Macauley Rings . 118 7.5 Gorenstein Rings . 127 8 Algebraic Geometry 133 8.1 Affine Algebraic Varieties . 133 8.2 Morphisms of Affine Varieties . 142 8.3 Sheaves of Functions . -
Tests and Constructions of Irreducible Polynomials Over Finite Fields
Tests and Constructions of Irreducible Polynomials over Finite Fields 1 2 Shuhong Gao and Daniel Panario 1 Department of Mathematical Sciences, Clemson University, Clemson, South Carolina 29634-1907, USA E-mail: [email protected] 2 Department of Computer Science, UniversityofToronto, Toronto, Canada M5S-1A4 E-mail: [email protected] Abstract. In this pap er we fo cus on tests and constructions of irre- ducible p olynomials over nite elds. We revisit Rabin's 1980 algo- rithm providing a variant of it that improves Rabin's cost estimate by a log n factor. We give a precise analysis of the probability that a ran- dom p olynomial of degree n contains no irreducible factors of degree less than O log n. This probability is naturally related to Ben-Or's 1981 algorithm for testing irreducibility of p olynomials over nite elds. We also compute the probability of a p olynomial b eing irreducible when it has no irreducible factors of low degree. This probability is useful in the analysis of various algorithms for factoring p olynomials over nite elds. We present an exp erimental comparison of these irreducibility metho ds when testing random p olynomials. 1 Motivation and results For a prime power q and an integer n 2, let IF be a nite eld with q q n elements, and IF be its extension of degree n. Extensions of nite elds are q imp ortant in implementing cryptosystems and error correcting co des. One way of constructing extensions of nite elds is via an irreducible p olynomial over the ground eld with degree equal to the degree of the extension. -
Section V.4. the Galois Group of a Polynomial (Supplement)
V.4. The Galois Group of a Polynomial (Supplement) 1 Section V.4. The Galois Group of a Polynomial (Supplement) Note. In this supplement to the Section V.4 notes, we present the results from Corollary V.4.3 to Proposition V.4.11 and some examples which use these results. These results are rather specialized in that they will allow us to classify the Ga- lois group of a 2nd degree polynomial (Corollary V.4.3), a 3rd degree polynomial (Corollary V.4.7), and a 4th degree polynomial (Proposition V.4.11). In the event that we are low on time, we will only cover the main notes and skip this supple- ment. However, most of the exercises from this section require this supplemental material. Note. The results in this supplement deal primarily with polynomials all of whose roots are distinct in some splitting field (and so the irreducible factors of these polynomials are separable [by Definition V.3.10, only irreducible polynomials are separable]). By Theorem V.3.11, the splitting field F of such a polynomial f K[x] ∈ is Galois over K. In Exercise V.4.1 it is shown that if the Galois group of such polynomials in K[x] can be calculated, then it is possible to calculate the Galois group of an arbitrary polynomial in K[x]. Note. As shown in Theorem V.4.2, the Galois group G of f K[x] is iso- ∈ morphic to a subgroup of some symmetric group Sn (where G = AutKF for F = K(u1, u2,...,un) where the roots of f are u1, u2,...,un).