Powers and Products of Monomial Ideals
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Ideals, Varieties and Macaulay 2
Ideals, Varieties and Macaulay 2 Bernd Sturmfels? This chapter introduces Macaulay 2 commands for some elementary compu- tations in algebraic geometry. Familiarity with Gr¨obnerbases is assumed. Many students and researchers alike have their first encounter with Gr¨ob- ner bases through the delightful text books [1] and [2] by David Cox, John Little and Donal O'Shea. This chapter illustrates the use of Macaulay 2 for some computations discussed in these books. It can be used as a supplement for an advanced undergraduate course or first-year graduate course in com- putational algebraic geometry. The mathematically advanced reader will find this chapter a useful summary of some basic Macaulay 2 commands. 1 A Curve in Affine Three-Space Our first example concerns geometric objects in (complex) affine 3-space. We start by setting up the ring of polynomial functions with rational coefficients. i1 : R = QQ[x,y,z] o1 = R o1 : PolynomialRing Various monomial orderings are available in Macaulay 2; since we did not specify one explicitly, the monomials in the ring R will be sorted in graded reverse lexicographic order [1, I.2, Definition 6]. We define an ideal generated by two polynomials in this ringx and assign it to the variable named curve. i2 : curve = ideal( x^4-y^5, x^3-y^7 ) 5 4 7 3 o2 = ideal (- y + x , - y + x ) o2 : Ideal of R We compute the reduced Gr¨obnerbasis of our ideal: i3 : gb curve o3 = | y5-x4 x4y2-x3 x8-x3y3 | o3 : GroebnerBasis By inspecting leading terms (and using [1, 9.3, Theorem 8]), we see that our ideal curve does indeed define a one-dimensionalx affine variety. -
A Review of Some Basic Mathematical Concepts and Differential Calculus
A Review of Some Basic Mathematical Concepts and Differential Calculus Kevin Quinn Assistant Professor Department of Political Science and The Center for Statistics and the Social Sciences Box 354320, Padelford Hall University of Washington Seattle, WA 98195-4320 October 11, 2002 1 Introduction These notes are written to give students in CSSS/SOC/STAT 536 a quick review of some of the basic mathematical concepts they will come across during this course. These notes are not meant to be comprehensive but rather to be a succinct treatment of some of the key ideas. The notes draw heavily from Apostol (1967) and Simon and Blume (1994). Students looking for a more detailed presentation are advised to see either of these sources. 2 Preliminaries 2.1 Notation 1 1 R or equivalently R denotes the real number line. R is sometimes referred to as 1-dimensional 2 Euclidean space. 2-dimensional Euclidean space is represented by R , 3-dimensional space is rep- 3 k resented by R , and more generally, k-dimensional Euclidean space is represented by R . 1 1 Suppose a ∈ R and b ∈ R with a < b. 1 A closed interval [a, b] is the subset of R whose elements are greater than or equal to a and less than or equal to b. 1 An open interval (a, b) is the subset of R whose elements are greater than a and less than b. 1 A half open interval [a, b) is the subset of R whose elements are greater than or equal to a and less than b. -
Homological Algebra of Monomial Ideals
Homological Algebra of Monomial Ideals Caitlyn Booms A senior thesis completed under the guidance of Professor Claudiu Raicu as part of the SUMR program and towards the completion of a Bachelors of Science in Mathematics with an Honors Concentration. Department of Mathematics May 8, 2018 Contents 1 Introduction 2 2 Homological Algebra 3 2.1 Exact Sequences and Projective and Injective Modules . .3 2.2 Ext and Tor . .5 2.3 Free Resolutions Over the Polynomial Ring . 11 3 Monomial Ideals 13 3.1 Introduction to Monomial Ideals . 13 3.2 Simplicial Complexes . 15 3.3 Graphs and Edge Ideals . 16 4 Useful Applications 17 4.1 Fröberg's Theorem . 22 5 Computing Exti for Monomial Ideals 24 S(S=I; S) 5.1 In the Polynomial Ring with Two Variables . 26 5.2 In the Multivariate Polynomial Ring . 32 1 1 Introduction An important direction in commutative algebra is the study of homological invariants asso- ciated to ideals in a polynomial ring. These invariants tend to be quite mysterious for even some of the simplest ideals, such as those generated by monomials, which we address here. Let S = k[x1; : : : ; xn] be the polynomial ring in n variables over a eld k.A monomial in is an element of the form a1 an where each (possibly zero), and an ideal S x1 ··· xn ai 2 N I ⊆ S is a monomial ideal if it is generated by monomials. Although they arise most naturally in commutative algebra and algebraic geometry, monomial ideals can be further understood using techniques from combinatorics and topology. -
Linear Gaps Between Degrees for the Polynomial Calculus Modulo Distinct Primes
Linear Gaps Between Degrees for the Polynomial Calculus Modulo Distinct Primes Sam Buss1;2 Dima Grigoriev Department of Mathematics Computer Science and Engineering Univ. of Calif., San Diego Pennsylvania State University La Jolla, CA 92093-0112 University Park, PA 16802-6106 [email protected] [email protected] Russell Impagliazzo1;3 Toniann Pitassi1;4 Computer Science and Engineering Computer Science Univ. of Calif., San Diego University of Arizona La Jolla, CA 92093-0114 Tucson, AZ 85721-0077 [email protected] [email protected] Abstract e±cient search algorithms and in part by the desire to extend lower bounds on proposition proof complexity This paper gives nearly optimal lower bounds on the to stronger proof systems. minimum degree of polynomial calculus refutations of The Nullstellensatz proof system is a propositional Tseitin's graph tautologies and the mod p counting proof system based on Hilbert's Nullstellensatz and principles, p 2. The lower bounds apply to the was introduced in [1]. The polynomial calculus (PC) ¸ polynomial calculus over ¯elds or rings. These are is a stronger propositional proof system introduced the ¯rst linear lower bounds for polynomial calculus; ¯rst by [4]. (See [8] and [3] for subsequent, more moreover, they distinguish linearly between proofs over general treatments of algebraic proof systems.) In the ¯elds of characteristic q and r, q = r, and more polynomial calculus, one begins with an initial set of 6 generally distinguish linearly the rings Zq and Zr where polynomials and the goal is to prove that they cannot q and r do not have the identical prime factors. -
15 Mar 2021 Linearization of Monomial Ideals
Linearization of monomial ideals Milo Orlich∗ March 16, 2021 Abstract We introduce a construction, called linearization, that associates to any monomial ideal I K[x ,...,x ] an ideal Lin(I) in a larger polynomial ring. ⊂ 1 n The main feature of this construction is that the new ideal Lin(I) has linear quotients. In particular, since Lin(I) is generated in a single degree, it fol- lows that Lin(I) has a linear resolution. We investigate some properties of this construction, such as its interplay with classical operations on ideals, its Betti numbers, functoriality and combinatorial interpretations. We moreover introduce an auxiliary construction, called equification, that associates to an arbitrary monomial ideal J an ideal J eq, generated in a single degree, in a poly- nomial ring with one more variable. We study some of the homological and combinatorial properties of the equification, which can be seen as a monomial analogue of the well-known homogenization construction. Contents 1 Introduction 2 2 Algebraic background 8 2.1 Free resolutions and monomial ideals . 8 arXiv:2006.11591v2 [math.AC] 15 Mar 2021 2.2 Ideals with linear quotients . 9 2.3 Cropping the exponents from above . 10 3 Linearization of equigenerated monomial ideals 12 3.1 Properties of the linearization . 13 3.1.1 Functorial properties . 14 3.1.2 Interplay of linearization and standard operations . 15 3.1.3 Polymatroidal ideals and linearization . 17 3.2 Radical of Lin(I) and Lin∗(I) ................... 19 ∗Department of Mathematics and Systems Analysis, Aalto University, Espoo, Finland. Email: [email protected] 1 4 Linearization in the squarefree case 22 4.1 Betti numbers of Lin∗(I) ..................... -
Gröbner Bases Tutorial
Gröbner Bases Tutorial David A. Cox Gröbner Basics Gröbner Bases Tutorial Notation and Definitions Gröbner Bases Part I: Gröbner Bases and the Geometry of Elimination The Consistency and Finiteness Theorems Elimination Theory The Elimination Theorem David A. Cox The Extension and Closure Theorems Department of Mathematics and Computer Science Prove Extension and Amherst College Closure ¡ ¢ £ ¢ ¤ ¥ ¡ ¦ § ¨ © ¤ ¥ ¨ Theorems The Extension Theorem ISSAC 2007 Tutorial The Closure Theorem An Example Constructible Sets References Outline Gröbner Bases Tutorial 1 Gröbner Basics David A. Cox Notation and Definitions Gröbner Gröbner Bases Basics Notation and The Consistency and Finiteness Theorems Definitions Gröbner Bases The Consistency and 2 Finiteness Theorems Elimination Theory Elimination The Elimination Theorem Theory The Elimination The Extension and Closure Theorems Theorem The Extension and Closure Theorems 3 Prove Extension and Closure Theorems Prove The Extension Theorem Extension and Closure The Closure Theorem Theorems The Extension Theorem An Example The Closure Theorem Constructible Sets An Example Constructible Sets 4 References References Begin Gröbner Basics Gröbner Bases Tutorial David A. Cox k – field (often algebraically closed) Gröbner α α α Basics x = x 1 x n – monomial in x ,...,x Notation and 1 n 1 n Definitions α ··· Gröbner Bases c x , c k – term in x1,...,xn The Consistency and Finiteness Theorems ∈ k[x]= k[x1,...,xn] – polynomial ring in n variables Elimination Theory An = An(k) – n-dimensional affine space over k The Elimination Theorem n The Extension and V(I)= V(f1,...,fs) A – variety of I = f1,...,fs Closure Theorems ⊆ nh i Prove I(V ) k[x] – ideal of the variety V A Extension and ⊆ ⊆ Closure √I = f k[x] m f m I – the radical of I Theorems { ∈ |∃ ∈ } The Extension Theorem The Closure Theorem Recall that I is a radical ideal if I = √I. -
Monomial Orderings, Rewriting Systems, and Gröbner Bases for The
Monomial orderings, rewriting systems, and Gr¨obner bases for the commutator ideal of a free algebra Susan M. Hermiller Department of Mathematics and Statistics University of Nebraska-Lincoln Lincoln, NE 68588 [email protected] Xenia H. Kramer Department of Mathematics Virginia Polytechnic Institute and State University Blacksburg, VA 24061 [email protected] Reinhard C. Laubenbacher Department of Mathematics New Mexico State University Las Cruces, NM 88003 [email protected] 0Key words and phrases. non-commutative Gr¨obner bases, rewriting systems, term orderings. 1991 Mathematics Subject Classification. 13P10, 16D70, 20M05, 68Q42 The authors thank Derek Holt for helpful suggestions. The first author also wishes to thank the National Science Foundation for partial support. 1 Abstract In this paper we consider a free associative algebra on three gen- erators over an arbitrary field K. Given a term ordering on the com- mutative polynomial ring on three variables over K, we construct un- countably many liftings of this term ordering to a monomial ordering on the free associative algebra. These monomial orderings are total well orderings on the set of monomials, resulting in a set of normal forms. Then we show that the commutator ideal has an infinite re- duced Gr¨obner basis with respect to these monomial orderings, and all initial ideals are distinct. Hence, the commutator ideal has at least uncountably many distinct reduced Gr¨obner bases. A Gr¨obner basis of the commutator ideal corresponds to a complete rewriting system for the free commutative monoid on three generators; our result also shows that this monoid has at least uncountably many distinct mini- mal complete rewriting systems. -
Lecture Notes.Pdf
ALGEBRAIC GEOMETRY AND SYMBOLIC COMPUTATION 1. REVIEW OF BASIC ALGEBRA Definition 1.1. A set R with two binary operations +;• (addition and multiplication) is a ring if the following properties hold for all a;b;c 2 R: (1) a + (b + c) = (a + b) + c. (2) a + b = b + a. (3) There is an element 0 2 R such that a + 0 = 0 + a = a. (4) For each a 2 R there exists −a 2 R such that a + (−a) = (−a) + a = 0. (5) (ab)c = a(bc). (6) (Distributivity) a(b + c) = ab + ac. If there exists a 1 2 R such that a1 = 1a = a for all a 2 R, we say that R is a ring with identity. Furthermore, if the multiplication is commutative, we say that R is commutative. Finally, if, for every a 6= 0 2 R, there exists a−1 such that aa−1 = a−1a = 1, then we say R is a division ring. R is a field if R is a commutative, division ring with identity. Example 1.1. (1) Z is a commutative ring with unit. (2) If R is a commutative ring with identity, then we can adjoin indeterminates to the ring. Indeed, define n n−1 R[x] = fanx + an−1x + ::: + a1x + a0 jai 2 F;n ≥ 0g: Such a ring is a commutative ring with unit, called a polynomial ring. (3) A field F does not have to be infinite. Take Z=pZ for a prime p. This is the field of p elements with addition and multiplication defined mod p. -
Polynomials Remember from 7-1: a Monomial Is a Number, a Variable, Or a Product of Numbers and Variables with Whole-Number Exponents
Notes 7-3: Polynomials Remember from 7-1: A monomial is a number, a variable, or a product of numbers and variables with whole-number exponents. A monomial may be a constant or a single variable. I. Identifying Polynomials A polynomial is a monomial or a sum or difference of monomials. Some polynomials have special names. A binomial is the sum of two monomials. A trinomial is the sum of three monomials. • Example: State whether the expression is a polynomial. If it is a polynomial, identify it as a monomial, binomial, or trinomial. Expression Polynomial? Monomial, Binomial, or Trinomial? 2x - 3yz Yes, 2x - 3yz = 2x + (-3yz), the binomial sum of two monomials 8n3+5n-2 No, 5n-2 has a negative None of these exponent, so it is not a monomial -8 Yes, -8 is a real number Monomial 4a2 + 5a + a + 9 Yes, the expression simplifies Monomial to 4a2 + 6a + 9, so it is the sum of three monomials II. Degrees and Leading Coefficients The terms of a polynomial are the monomials that are being added or subtracted. The degree of a polynomial is the degree of the term with the greatest degree. The leading coefficient is the coefficient of the variable with the highest degree. Find the degree and leading coefficient of each polynomial Polynomial Terms Degree Leading Coefficient 5n2 5n 2 2 5 -4x3 + 3x2 + 5 -4x2, 3x2, 3 -4 5 -a4-1 -a4, -1 4 -1 III. Ordering the terms of a polynomial The terms of a polynomial may be written in any order. However, the terms of a polynomial are usually arranged so that the powers of one variable are in descending (decreasing, large to small) order. -
Discriminants, Resultants, and Their Tropicalization
Discriminants, resultants, and their tropicalization Course by Bernd Sturmfels - Notes by Silvia Adduci 2006 Contents 1 Introduction 3 2 Newton polytopes and tropical varieties 3 2.1 Polytopes . 3 2.2 Newton polytope . 6 2.3 Term orders and initial monomials . 8 2.4 Tropical hypersurfaces and tropical varieties . 9 2.5 Computing tropical varieties . 12 2.5.1 Implementation in GFan ..................... 12 2.6 Valuations and Connectivity . 12 2.7 Tropicalization of linear spaces . 13 3 Discriminants & Resultants 14 3.1 Introduction . 14 3.2 The A-Discriminant . 16 3.3 Computing the A-discriminant . 17 3.4 Determinantal Varieties . 18 3.5 Elliptic Curves . 19 3.6 2 × 2 × 2-Hyperdeterminant . 20 3.7 2 × 2 × 2 × 2-Hyperdeterminant . 21 3.8 Ge’lfand, Kapranov, Zelevinsky . 21 1 4 Tropical Discriminants 22 4.1 Elliptic curves revisited . 23 4.2 Tropical Horn uniformization . 24 4.3 Recovering the Newton polytope . 25 4.4 Horn uniformization . 29 5 Tropical Implicitization 30 5.1 The problem of implicitization . 30 5.2 Tropical implicitization . 31 5.3 A simple test case: tropical implicitization of curves . 32 5.4 How about for d ≥ 2 unknowns? . 33 5.5 Tropical implicitization of plane curves . 34 6 References 35 2 1 Introduction The aim of this course is to introduce discriminants and resultants, in the sense of Gel’fand, Kapranov and Zelevinsky [6], with emphasis on the tropical approach which was developed by Dickenstein, Feichtner, and the lecturer [3]. This tropical approach in mathematics has gotten a lot of attention recently in combinatorics, algebraic geometry and related fields. -
The Hilbert Scheme of Points
TWIN-Bachelorthesis The Hilbert scheme of points Nicolas R¨uhling supervised by Dr. Martijn Kool June 13, 2018 Contents 1 Ideals of points in the plane 2 1.1 Combinatorics and monomial ideals . .3 1.2 Flat families and flat limits . .4 2 Connectedness 5 d 3 The tangent space of Hn and Haiman arrows 9 4 Algorithm to determine dimension of tangent space at mono- mial ideals 13 5 Experimental results 17 6 Appendix 19 Introduction n d d The Hilbert Scheme of points Hilb (C ) = Hn is a so-called parameter or d moduli space where a point in Hn is determined by a configuration of n points in Cd. It is a fundamental concept in algebraic geometry and finds applications in a wide range of mathematics, among others string theory, the theory of symmetric functions1 knot theory. In this thesis we will study d Hn using algebraic as well as combinatorial methods. We will mostly treat the case when those points lie in the complex plane, thus when d = 2, to give examples and provide intuition about its geometry. This can be seen 2 as a special case since Hn is a smooth and irreducible variety of dimension d 2n (Thm. 17). Another main result is that Hn is connected for arbitrary d (Prop. 11). The structure of the thesis follows Chapter 18 from [MS05], in particular sections 18.1, 18.2 and 18.4. That means our focus lies on points in the Hilbert scheme that correspond to monomial ideal which allows us to apply combinatorial methods. -
Florida Math 0028 Correlation of the ALEKS Course Florida
Florida Math 0028 Correlation of the ALEKS course Florida Math 0028 to the Florida Mathematics Competencies - Upper Exponents & Polynomials = ALEKS course topic that addresses the standard MDECU1: Applies the order of operations to evaluate algebraic expressions, including those with parentheses and exponents Order of operations with whole numbers Order of operations with whole numbers and grouping symbols Order of operations with whole numbers and exponents: Basic Order of operations with whole numbers and exponents: Advanced Evaluating an algebraic expression: Whole number operations and exponents Absolute value of a number Operations with absolute value Exponents and integers: Problem type 1 Exponents and integers: Problem type 2 Exponents and signed fractions Order of operations with integers and exponents Evaluating a linear expression: Integer multiplication with addition or subtraction Evaluating a quadratic expression: Integers Evaluating a linear expression: Signed fraction multiplication with addition or subtraction Evaluating a linear expression: Signed decimal addition and subtraction Evaluating a linear expression: Signed decimal multiplication with addition or subtraction Combining like terms: Whole number coefficients Combining like terms: Integer coefficients Multiplying a constant and a linear monomial Distributive property: Whole number coefficients Distributive property: Integer coefficients Using distribution and combining like terms to simplify: Univariate Using distribution with double negation and combining like terms to simplify: Multivariate Combining like terms in a quadratic expression MDECU2: Simplifies an expression with integer exponents Understanding the product rule of exponents Introduction to the product rule of exponents Product rule with positive exponents: Univariate Product rule with positive exponents: Multivariate Understanding the power rules of exponents (FF4)Copyright © 2014 UC Regents and ALEKS Corporation.