Matricial real algebraic geometry
|
|
- Sherman May
- 5 years ago
- Views:
Transcription
1 Magdeburg, February 23th, 2012
2 Notation R - a commutative ring M n (R) - the ring of all n n matrices with entries in R S n (R) - the set of all symmetric matrices in M n (R) Mn (R) 2 - the set of all finite sums i AT i A i, A i M n (R). Z n (R) - the center of M n (R), i.e. the set R I n.
3 The real spectrum PART 1 The real spectrum of M n (R)
4 Definition of the real spectrum For a given ordering P of R, write psd n (P) n := {A S(R) v T Av P for all v R n } for the set of all P-positive semi-definite matrices in S n (R). The real spectrum of M n (R) is defined by Sper(M n (R)) := {psd n (P) P Sper(R)}. Clearly, P psd n (P) is a one-to-one correspondence from Sper(R) to Sper(M n (R)).
5 Alternative descriptions of the real spectrum (1) For every P Sper(R) there exists a homomorphism φ from R into some real closed field K such that P = {a R φ(a) 0}. Then psd n (P) = {[a ij ] S n (R) [φ(a ij )] is positive semi-definite}. (2) From the usual principal minors test for positive semi-definite matrices over real closed fields, we deduce that psd n (P) = {A S n (R) all principal minors of A belong to P}. (3) Q: Is there an intrinsic description of elements of Sper(M n (R)) (i.e. without reference to Sper(R))?
6 An intrinsic description of the spectrum A subset Q of S n (R) belongs to Sper(M n (R)) (i.e. it is of the form psd n (P) for some P Sper(R)) iff it satisfies (1)-(3) below (1) Q is a proper quadratic module in M n (R), i.e. I n Q, I n Q, Q + Q Q and A T QA Q for every A M n (R). (2) Q is prime in the sense that: for every A S n (R) and B Z n (R) := R I n such that AB 2 Q we have that either A Q or B Q Q. (3) Q Z n (R) is closed for multiplication and Z n (R) Q Q (i.e. Q Z n (R) is an ordering of Z n (R)). Idea of the proof: By reducing to the field case it can be shown that there is a one-to-one correspondence between prime quadratic modules in M n (R) and prime quadratic modules in R.
7 Spectral topologies For every Q = psd n (P) Sper(M n (R)) we define its positive part Q + := {A S n (R) v T Av P + for every v R n \ (supp P) n }. Clearly, Q + is the set of all P-positive definite matrices. For every finite subset G of S n (R) define U G = {Q Sper(M n (R)) G Q + } and V G = {Q Sper(M n (R)) G Q}. The sets U G and V G generate the constructible topology on Sper(M n (R)).
8 Spectral topologies To show that P psd n (P) is a homeomorphism it suffices to prove the following: Theorem 1: (a) For every finite subset G of S n (R) there exists a finite subset G of M G Z n (R) such that U G = U G. (b) For every finite subset G of S n (R) there exists a finite subset G of M G Z n (R) such that V G = V G. Idea of the proof: This is done by induction on n using Schur complements. (Similarly as in Schmüdgen s survey paper.) As a corollary one obtains Artin-Lang theorem for Sper(M n (R)).
9 Part 2: Nichtnegativstellensatz PART 2 The Krivine-Stengle Nichtegativstellensatz for M n (R)
10 Earlier results Gondard & Ribenboim Artin s theorem for matrices: Suppose that a matrix polynomial F S(R[x]) is positive semi-definite in every point of R m. Then there exists a nonzero c R[x] such that c 2 F M n (R[x]) 2.
11 Earlier results Schmüdgen Stengle s theorem for matrices: Given F, G 1,..., G k S n (R[x]), pick f j, g ij R[x] such that {x R m F (x) 0} = {x R m f j (x) 0 for all j} {x R m G i (x) 0 for all i} = {x R m g ij (x) 0 for all i, j}. (They exist by Theorem 1(b)). Let T be the preordering in R[x] generated by all g ij. Then the following are equivalent: 1. F (x) 0 for every x R m such that G i (x) 0 for all i. 2. For every j there exist n j N and s j, t j T such that f j s j = f 2n j j + t j.
12 Nichtnegativstellensatz A subset T of M n (R) is a preordering if (a) T is a quadratic module and (b) T Z n (R) is closed for multiplication. The smallest preordering which contains G will be denoted by T G. Theorem 2: For every finite subset G of S n (R) and every element F S n (R), the following are equivalent: (1) F Q V G Q (2) There exist B T G and C T G and s N such that FB = BF = F 2s + C. Note: B can be non-central, so it does not imply Artin s Theorem.
13 Proof (2) (1) is easy. (1) (2) First reduce to the case G = {g 1 I n,..., g m I n } by Theorem 1(b) and write S = {g 1,..., g m }. Let det(f λ I n ) = ( λ) n + c 1 ( λ) n c n be the characteristic polynomial of F. It belongs to R[λ]. Since c 1,..., c n are sums of principal minors of F, they belong (by assumption (1)) to every ordering P of R which contains S.
14 Proof It follows that p(λ) := det(f λ I n ) ( λ) n belongs to every ordering of R[λ] which contains S { λ}. By the usual Positivstellensatz, there exist s(λ), t(λ) T R[λ] S { λ} and k N such that p(λ)s(λ) = p(λ) 2k + t(λ). We can write s(λ) = σ 1 (λ) λσ 2 (λ) and t(λ) = τ 1 (λ) λτ 2 (λ) where σ 1 (λ), σ 2 (λ), τ 1 (λ), τ 2 (λ) T R[λ] S.
15 Proof If follows that σ 1 (F ), σ 2 (F ), τ 1 (F ), τ 2 (F ) T R[F ] S T G. By the Cayley-Hamilton Theorem, p(f ) = ( F ) n. It follows that ( F ) n (σ 1 (F ) F σ 2 (F )) = F 2nk + τ 1 (F ) F τ 2 (F ). If n is even, then we can rewrite this as F (F n σ 2 (F ) + τ 2 (F )) = F 2nk + (τ 1 (F ) + F n σ 1 (F )). where both brackets belong to T G. If n is odd, then we can rewrite this as F (F n 1 σ 1 (F ) + τ 2 (F )) = F 2nk + (τ 1 (F ) + F n+1 σ 2 (F )). where both brackets belong to T G.
16 A counterexample Example: Take G = [ x x 3 ] and F = [ x ]. Clearly, F Q for every Q Sper(M n (R[x])) such that G Q. We claim that there is no b I 2 T G Z n (R[x]) such that Fb = F 2k + C for some k N and C = [c ij ] T G (=sos+x 3 sos). Namely, if such a b exists, then xb = x 2k + c 11 and b = 1 + c 22 for some c 11 = u 1 + x 3 v 1 and c 22 = u 2 + x 3 v 2 with u i, v i R[x] 2, then x(1 + u 2 (x) + x 3 v 2 (x)) = x 2k + u 2 (x) + x 3 v 2 (x). Since x divides x 2k + u 2 (x) which belongs to R[x] 2, it follows that also x 2 divides x 2k + u 2 (x). After canceling x on both sides, we get that the right-hand side is divisible by x while the left-hand side is not.
17 Part 3: Positivstellensatz PART 3 The Krivine-Stengle Positivstellensatz for M n (R)
18 Positivstellensatz Theorem 3: For every finite subset G of S n (R) and every element F S n (R), the following are equivalent: (1) F Q V G Q + (2) There exist b T G Z n (R) and V T G such that F (1 + b) = I n + V. Note: the denominator 1 + b in (2) is central.
19 Proof Suppose that (1) implies (2) for all symmetric matrix polynomials of size n 1 and pick a symmetric F of size n which satisfies (1). We write [ ] f11 g F = g T H and observe that [ ] T [ ] [ ] f11 g f11 g f11 g 0 f 11 I n 1 g T = H 0 f 11 I n 1 [ f f 11 H where H = f 11 H g T [ g. Since F 0] on K S, it follows that f11 g f 11 > 0 on K S, hence is invertible on K 0 f 11 I S. It n 1 follows that H 0 on K S. ] (1)
20 Proof By the induction hypothesis there exist s T S and U T n 1 S such that (1 + s) H = I n 1 + U. (2) On the other hand, there exists by n = 1 elements s 1, u 1 T such that (1 + s 1 )f 11 = 1 + u 1. (3) From (1) we get (with I = I n 1 ) [ f11 4 f11 g g T H ] = [ f11 g 0 f 11 I ] T [ f f 11 H ] [ f11 g 0 f 11 I Now we cancel f 11, multiply by (1 + s)(1 + s 1 ) 4 and use (2), (3)): ] (4)
21 Proof [ ] [ ] T (1 + s)(1 + s 1 )(1 + u 1 ) 3 f11 g 1 + u1 (1 + s g T = 1 )g H 0 (1 + u 1 )I [ (1 + s)(1 + u1 ) 2 ] [ ] u1 (1 + s 1 )g 0 (1 + s 1 ) 2 (5) (I + U) 0 (1 + u 1 )I Since [ (1 + s)(1 + u1 ) (1 + s 1 ) 2 (I + U) for some W TS n, it follows that = [ 1 + u1 (1 + s 1 )g 0 (1 + u 1 )I for some W T n S. ] = I n + W [ ] (1 + s)(1 + s 1 )(1 + u 1 ) 3 f11 g g T = H ] T [ 1 + u1 (1 + s 1 )g 0 (1 + u 1 )I ] + W (6)
22 Proof Write g = (1 + s 1 )g and c = g g T R 2 and note that σ := ci n 1 g T g M n 1 (R) 2. Write v = 1 + c and multiply (6) by v(1 + v) to get [ ] v(1 + v)(1 + s)(1 + s 1 )(1 + u 1 ) 3 f11 g g T = H [ (1 + u1 ) = v(1 + v) 2 (1 + u 1 ) g (1 + u 1 ) g T g T g + (1 + u 1 ) 2 I + ] + v(1 + v)w = [ v(1 + u1 ) = (v(1 + u 1 ) 2 + v 2 (2u 1 + u1 2 ) + 1)I + (v + 1)σ [ ] T [ v(1 + u1 ) (1 + v) g v(1 + u1 ) (1 + v) g which clearly belongs to I n + TS n. It is also clear that v(1 + v)(1 + s)(1 + s 1 )(1 + u 1 ) 3 belongs to 1 + T S. ] + ] + v(1 + v)w
23 Part 4: Schmüdgen s Positivstellensatz PART 4 Schmüdgen s Positivstellensatz for M n (R[x])
24 Schmüdgen s Positivstellensatz Theorem 4: Suppose that G = {G 1,..., G k } S n (R[x]) are such that the set K G := {x R m G 1 (x) 0,..., G k (x) 0} is compact. Then the preordering T G is an archimedean q.m. Proof: Write R = R[x]. By Theorem 1(b), we can pick a finite set G = {g 1 I n,..., g r I n } M G Z n (R) such that K G = K G. Since K G is compact, so is K {g1,...,g r }. By the usual Schmüdgen s Positivstellensatz, T {g1,...,g r } is an archimedean preordering in R. The following two observations then imply that T G is archimedean. T G = T {g1,...,g r } M n (R) 2. For every B S n (R) there exists σ R 2 such that σ I n B M n (R) 2. Since T G T G, it follows that T G is archimedean.
25 Schmüdgen s Positivstellensatz Combining Theorem 4 with Hol-Scherer Theorem, we get a matrix version of Schmüdgen s Positivstellensatz: Corollary. Suppose that G = {G 1,..., G k } S n (R[x]) are such that the set K G := {x R m G 1 (x) 0,..., G k (x) 0} is compact. Then every F S n (R[x]) which satisfies F (x) 0 on K G belongs to T G. Recall that Hol-Scherer Theorem (2006) says that for every archimedean q.m. M in M n (R[x]) and every F S n (R[x]) which satisfies F (x) 0 on K M, we have that F M.
26 Multivariate matrix moment problem Similarly, we can obtain a solution of the multivariate matrix moment problem by combining Theorem 4 with the following result of Ambrozie & Vasilescu (2003): Proposition: Let M be an archimedean quadratic module on R[x] and L a linear functional on M n (R[x]) such that L(m A T A) 0 for every m M and A M n (R[x]), then there exists a measure µ on K M with values in positive semi-definite real n n matrices such that for every F M n (R[x]) L(F ) = tr(f dµ). K M
A brief history of noncommutative Positivstellensätze. Jaka Cimprič, University of Ljubljana, Slovenia
A brief history of noncommutative Positivstellensätze Jaka Cimprič, University of Ljubljana, Slovenia Hilbert s Nullstellensatz: If f, g 1,..., g m R := C[X 1,..., X n ] then the following are equivalent:
More informationR S. with the property that for every s S, φ(s) is a unit in R S, which is universal amongst all such rings. That is given any morphism
8. Nullstellensatz We will need the notion of localisation, which is a straightforward generalisation of the notion of the field of fractions. Definition 8.1. Let R be a ring. We say that a subset S of
More informationRepresentations of Positive Polynomials: Theory, Practice, and
Representations of Positive Polynomials: Theory, Practice, and Applications Dept. of Mathematics and Computer Science Emory University, Atlanta, GA Currently: National Science Foundation Temple University
More informationCLOSURES OF QUADRATIC MODULES
CLOSURES OF QUADRATIC MODULES JAKA CIMPRIČ, MURRAY MARSHALL, TIM NETZER Abstract. We consider the problem of determining the closure M of a quadratic module M in a commutative R-algebra with respect to
More informationbe any ring homomorphism and let s S be any element of S. Then there is a unique ring homomorphism
21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UFD. Therefore
More informationMTNS Conference, Polynomial Inequalities and Applications. Kyoto, July
MTNS Conference, Polynomial Inequalities and Applications. Kyoto, July 24-28 2006. July 20, 2006 Salma Kuhlmann 1, Research Center Algebra, Logic and Computation University of Saskatchewan, McLean Hall,
More informationMoments and Positive Polynomials for Optimization II: LP- VERSUS SDP-relaxations
Moments and Positive Polynomials for Optimization II: LP- VERSUS SDP-relaxations LAAS-CNRS and Institute of Mathematics, Toulouse, France EECI Course: February 2016 LP-relaxations LP- VERSUS SDP-relaxations
More informationA new look at nonnegativity on closed sets
A new look at nonnegativity on closed sets LAAS-CNRS and Institute of Mathematics, Toulouse, France IPAM, UCLA September 2010 Positivstellensatze for semi-algebraic sets K R n from the knowledge of defining
More informationDefinitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations
Page 1 Definitions Tuesday, May 8, 2018 12:23 AM Notations " " means "equals, by definition" the set of all real numbers the set of integers Denote a function from a set to a set by Denote the image of
More informationMoments and Positive Polynomials for Optimization II: LP- VERSUS SDP-relaxations
Moments and Positive Polynomials for Optimization II: LP- VERSUS SDP-relaxations LAAS-CNRS and Institute of Mathematics, Toulouse, France Tutorial, IMS, Singapore 2012 LP-relaxations LP- VERSUS SDP-relaxations
More informationIntegral Extensions. Chapter Integral Elements Definitions and Comments Lemma
Chapter 2 Integral Extensions 2.1 Integral Elements 2.1.1 Definitions and Comments Let R be a subring of the ring S, and let α S. We say that α is integral over R if α isarootofamonic polynomial with coefficients
More informationPOSITIVITY AND SUMS OF SQUARES: A GUIDE TO RECENT RESULTS
POSITIVITY AND SUMS OF SQUARES: A GUIDE TO RECENT RESULTS CLAUS SCHEIDERER Abstract. This paper gives a survey, with detailed references to the literature, on recent developments in real algebra and geometry
More information4.4 Noetherian Rings
4.4 Noetherian Rings Recall that a ring A is Noetherian if it satisfies the following three equivalent conditions: (1) Every nonempty set of ideals of A has a maximal element (the maximal condition); (2)
More informationFactorization in Polynomial Rings
Factorization in Polynomial Rings Throughout these notes, F denotes a field. 1 Long division with remainder We begin with some basic definitions. Definition 1.1. Let f, g F [x]. We say that f divides g,
More informationChapter 3. Rings. The basic commutative rings in mathematics are the integers Z, the. Examples
Chapter 3 Rings Rings are additive abelian groups with a second operation called multiplication. The connection between the two operations is provided by the distributive law. Assuming the results of Chapter
More informationSolutions of exercise sheet 8
D-MATH Algebra I HS 14 Prof. Emmanuel Kowalski Solutions of exercise sheet 8 1. In this exercise, we will give a characterization for solvable groups using commutator subgroups. See last semester s (Algebra
More informationMath 2070BC Term 2 Weeks 1 13 Lecture Notes
Math 2070BC 2017 18 Term 2 Weeks 1 13 Lecture Notes Keywords: group operation multiplication associative identity element inverse commutative abelian group Special Linear Group order infinite order cyclic
More informationA linear algebra proof of the fundamental theorem of algebra
A linear algebra proof of the fundamental theorem of algebra Andrés E. Caicedo May 18, 2010 Abstract We present a recent proof due to Harm Derksen, that any linear operator in a complex finite dimensional
More informationA linear algebra proof of the fundamental theorem of algebra
A linear algebra proof of the fundamental theorem of algebra Andrés E. Caicedo May 18, 2010 Abstract We present a recent proof due to Harm Derksen, that any linear operator in a complex finite dimensional
More informationRINGS: SUMMARY OF MATERIAL
RINGS: SUMMARY OF MATERIAL BRIAN OSSERMAN This is a summary of terms used and main results proved in the subject of rings, from Chapters 11-13 of Artin. Definitions not included here may be considered
More informationMonoids. Definition: A binary operation on a set M is a function : M M M. Examples:
Monoids Definition: A binary operation on a set M is a function : M M M. If : M M M, we say that is well defined on M or equivalently, that M is closed under the operation. Examples: Definition: A monoid
More informationALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA
ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA Kent State University Department of Mathematical Sciences Compiled and Maintained by Donald L. White Version: August 29, 2017 CONTENTS LINEAR ALGEBRA AND
More informationwhere c R and the content of f is one. 1
9. Gauss Lemma Obviously it would be nice to have some more general methods of proving that a given polynomial is irreducible. The first is rather beautiful and due to Gauss. The basic idea is as follows.
More informationPositivity, sums of squares and the multi-dimensional moment problem II
Positivity, sums of squares and the multi-dimensional moment problem II S. Kuhlmann, M. Marshall and N. Schwartz 23. 07. 2003 Abstract The paper is a continuation of work initiated by the first two authors
More informationCourse 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra
Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................
More informationAlgebra Homework, Edition 2 9 September 2010
Algebra Homework, Edition 2 9 September 2010 Problem 6. (1) Let I and J be ideals of a commutative ring R with I + J = R. Prove that IJ = I J. (2) Let I, J, and K be ideals of a principal ideal domain.
More informationReid 5.2. Describe the irreducible components of V (J) for J = (y 2 x 4, x 2 2x 3 x 2 y + 2xy + y 2 y) in k[x, y, z]. Here k is algebraically closed.
Reid 5.2. Describe the irreducible components of V (J) for J = (y 2 x 4, x 2 2x 3 x 2 y + 2xy + y 2 y) in k[x, y, z]. Here k is algebraically closed. Answer: Note that the first generator factors as (y
More informationCLOSURES OF QUADRATIC MODULES
CLOSURES OF QUADRATIC MODULES JAKA CIMPRIČ, MURRAY MARSHALL, TIM NETZER Abstract. We consider the problem of determining the closure M of a quadratic module M in a commutative R-algebra with respect to
More informationMath 120: Homework 2 Solutions
Math 120: Homework 2 Solutions October 12, 2018 Problem 1.2 # 9. Let G be the group of rigid motions of the tetrahedron. Show that G = 12. Solution. Let us label the vertices of the tetrahedron 1, 2, 3,
More informationTHE EIGENVALUE PROBLEM
THE EIGENVALUE PROBLEM Let A be an n n square matrix. If there is a number λ and a column vector v 0 for which Av = λv then we say λ is an eigenvalue of A and v is an associated eigenvector. Note that
More informationMATH 8253 ALGEBRAIC GEOMETRY WEEK 12
MATH 8253 ALGEBRAIC GEOMETRY WEEK 2 CİHAN BAHRAN 3.2.. Let Y be a Noetherian scheme. Show that any Y -scheme X of finite type is Noetherian. Moreover, if Y is of finite dimension, then so is X. Write f
More information38 Irreducibility criteria in rings of polynomials
38 Irreducibility criteria in rings of polynomials 38.1 Theorem. Let p(x), q(x) R[x] be polynomials such that p(x) = a 0 + a 1 x +... + a n x n, q(x) = b 0 + b 1 x +... + b m x m and a n, b m 0. If b m
More informationCOURSE SUMMARY FOR MATH 504, FALL QUARTER : MODERN ALGEBRA
COURSE SUMMARY FOR MATH 504, FALL QUARTER 2017-8: MODERN ALGEBRA JAROD ALPER Week 1, Sept 27, 29: Introduction to Groups Lecture 1: Introduction to groups. Defined a group and discussed basic properties
More informationSkew Polynomial Rings
Skew Polynomial Rings NIU November 14, 2018 Bibliography Beachy, Introductory Lectures on Rings and Modules, Cambridge Univ. Press, 1999 Goodearl and Warfield, An Introduction to Noncommutative Noetherian
More informationFactorization in Polynomial Rings
Factorization in Polynomial Rings These notes are a summary of some of the important points on divisibility in polynomial rings from 17 and 18. PIDs Definition 1 A principal ideal domain (PID) is an integral
More informationTheorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u.
5. Fields 5.1. Field extensions. Let F E be a subfield of the field E. We also describe this situation by saying that E is an extension field of F, and we write E/F to express this fact. If E/F is a field
More informationOptimization over Polynomials with Sums of Squares and Moment Matrices
Optimization over Polynomials with Sums of Squares and Moment Matrices Monique Laurent Centrum Wiskunde & Informatica (CWI), Amsterdam and University of Tilburg Positivity, Valuations and Quadratic Forms
More informationBoolean Algebras, Boolean Rings and Stone s Representation Theorem
Boolean Algebras, Boolean Rings and Stone s Representation Theorem Hongtaek Jung December 27, 2017 Abstract This is a part of a supplementary note for a Logic and Set Theory course. The main goal is to
More informationCayley-Hamilton Theorem
Cayley-Hamilton Theorem Massoud Malek In all that follows, the n n identity matrix is denoted by I n, the n n zero matrix by Z n, and the zero vector by θ n Let A be an n n matrix Although det (λ I n A
More informationA Multiplicative Operation on Matrices with Entries in an Arbitrary Abelian Group
A Multiplicative Operation on Matrices with Entries in an Arbitrary Abelian Group Cyrus Hettle (cyrus.h@uky.edu) Robert P. Schneider (robert.schneider@uky.edu) University of Kentucky Abstract We define
More informationHilbert s 17th Problem to Semidefinite Programming & Convex Algebraic Geometry
Hilbert s 17th Problem to Semidefinite Programming & Convex Algebraic Geometry Rekha R. Thomas University of Washington, Seattle References Monique Laurent, Sums of squares, moment matrices and optimization
More informationCHAPTER 1. AFFINE ALGEBRAIC VARIETIES
CHAPTER 1. AFFINE ALGEBRAIC VARIETIES During this first part of the course, we will establish a correspondence between various geometric notions and algebraic ones. Some references for this part of the
More informationChapter 4. Matrices and Matrix Rings
Chapter 4 Matrices and Matrix Rings We first consider matrices in full generality, i.e., over an arbitrary ring R. However, after the first few pages, it will be assumed that R is commutative. The topics,
More informationDedekind Domains. Mathematics 601
Dedekind Domains Mathematics 601 In this note we prove several facts about Dedekind domains that we will use in the course of proving the Riemann-Roch theorem. The main theorem shows that if K/F is a finite
More informationChapter 2: Linear Independence and Bases
MATH20300: Linear Algebra 2 (2016 Chapter 2: Linear Independence and Bases 1 Linear Combinations and Spans Example 11 Consider the vector v (1, 1 R 2 What is the smallest subspace of (the real vector space
More information= 1 2x. x 2 a ) 0 (mod p n ), (x 2 + 2a + a2. x a ) 2
8. p-adic numbers 8.1. Motivation: Solving x 2 a (mod p n ). Take an odd prime p, and ( an) integer a coprime to p. Then, as we know, x 2 a (mod p) has a solution x Z iff = 1. In this case we can suppose
More informationMinimum Ellipsoid Bounds for Solutions of Polynomial Systems via Sum of Squares
Journal of Global Optimization (2005) 33: 511 525 Springer 2005 DOI 10.1007/s10898-005-2099-2 Minimum Ellipsoid Bounds for Solutions of Polynomial Systems via Sum of Squares JIAWANG NIE 1 and JAMES W.
More informationTopics in linear algebra
Chapter 6 Topics in linear algebra 6.1 Change of basis I want to remind you of one of the basic ideas in linear algebra: change of basis. Let F be a field, V and W be finite dimensional vector spaces over
More informationFirst we introduce the sets that are going to serve as the generalizations of the scalars.
Contents 1 Fields...................................... 2 2 Vector spaces.................................. 4 3 Matrices..................................... 7 4 Linear systems and matrices..........................
More informationPolynomial Rings. i=0. i=0. n+m. i=0. k=0
Polynomial Rings 1. Definitions and Basic Properties For convenience, the ring will always be a commutative ring with identity. Basic Properties The polynomial ring R[x] in the indeterminate x with coefficients
More informationA PROOF OF BURNSIDE S p a q b THEOREM
A PROOF OF BURNSIDE S p a q b THEOREM OBOB Abstract. We prove that if p and q are prime, then any group of order p a q b is solvable. Throughout this note, denote by A the set of algebraic numbers. We
More information0 Sets and Induction. Sets
0 Sets and Induction Sets A set is an unordered collection of objects, called elements or members of the set. A set is said to contain its elements. We write a A to denote that a is an element of the set
More informationCriteria for existence of semigroup homomorphisms and projective rank functions. George M. Bergman
Criteria for existence of semigroup homomorphisms and projective rank functions George M. Bergman Suppose A, S, and T are semigroups, e: A S and f: A T semigroup homomorphisms, and X a generating set for
More informationProblem 1A. Calculus. Problem 3A. Real analysis. f(x) = 0 x = 0.
Problem A. Calculus Find the length of the spiral given in polar coordinates by r = e θ, < θ 0. Solution: The length is 0 θ= ds where by Pythagoras ds = dr 2 + (rdθ) 2 = dθ 2e θ, so the length is 0 2e
More informationRings and groups. Ya. Sysak
Rings and groups. Ya. Sysak 1 Noetherian rings Let R be a ring. A (right) R -module M is called noetherian if it satisfies the maximum condition for its submodules. In other words, if M 1... M i M i+1...
More informationNOTES ON LINEAR ALGEBRA OVER INTEGRAL DOMAINS. Contents. 1. Introduction 1 2. Rank and basis 1 3. The set of linear maps 4. 1.
NOTES ON LINEAR ALGEBRA OVER INTEGRAL DOMAINS Contents 1. Introduction 1 2. Rank and basis 1 3. The set of linear maps 4 1. Introduction These notes establish some basic results about linear algebra over
More informationAlgebraic structures I
MTH5100 Assignment 1-10 Algebraic structures I For handing in on various dates January March 2011 1 FUNCTIONS. Say which of the following rules successfully define functions, giving reasons. For each one
More informationHonors Algebra 4, MATH 371 Winter 2010 Assignment 4 Due Wednesday, February 17 at 08:35
Honors Algebra 4, MATH 371 Winter 2010 Assignment 4 Due Wednesday, February 17 at 08:35 1. Let R be a commutative ring with 1 0. (a) Prove that the nilradical of R is equal to the intersection of the prime
More informationSPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS
SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly
More informationMODEL ANSWERS TO HWK #7. 1. Suppose that F is a field and that a and b are in F. Suppose that. Thus a = 0. It follows that F is an integral domain.
MODEL ANSWERS TO HWK #7 1. Suppose that F is a field and that a and b are in F. Suppose that a b = 0, and that b 0. Let c be the inverse of b. Multiplying the equation above by c on the left, we get 0
More information2) e = e G G such that if a G 0 =0 G G such that if a G e a = a e = a. 0 +a = a+0 = a.
Chapter 2 Groups Groups are the central objects of algebra. In later chapters we will define rings and modules and see that they are special cases of groups. Also ring homomorphisms and module homomorphisms
More informationModules over Principal Ideal Domains
Modules over Principal Ideal Domains Let henceforth R denote a commutative ring with 1. It is called a domain iff it has no zero-divisors, i.e. if ab = 0 then either a or b is zero. Or equivalently, two
More informationOn Polynomial Optimization over Non-compact Semi-algebraic Sets
On Polynomial Optimization over Non-compact Semi-algebraic Sets V. Jeyakumar, J.B. Lasserre and G. Li Revised Version: April 3, 2014 Communicated by Lionel Thibault Abstract The optimal value of a polynomial
More informationAlgebra Qualifying Exam August 2001 Do all 5 problems. 1. Let G be afinite group of order 504 = 23 32 7. a. Show that G cannot be isomorphic to a subgroup of the alternating group Alt 7. (5 points) b.
More information0.2 Vector spaces. J.A.Beachy 1
J.A.Beachy 1 0.2 Vector spaces I m going to begin this section at a rather basic level, giving the definitions of a field and of a vector space in much that same detail as you would have met them in a
More informationMINIMAL GENERATING SETS OF GROUPS, RINGS, AND FIELDS
MINIMAL GENERATING SETS OF GROUPS, RINGS, AND FIELDS LORENZ HALBEISEN, MARTIN HAMILTON, AND PAVEL RŮŽIČKA Abstract. A subset X of a group (or a ring, or a field) is called generating, if the smallest subgroup
More informationSection 19 Integral domains
Section 19 Integral domains Instructor: Yifan Yang Spring 2007 Observation and motivation There are rings in which ab = 0 implies a = 0 or b = 0 For examples, Z, Q, R, C, and Z[x] are all such rings There
More informationa = qb + r where 0 r < b. Proof. We first prove this result under the additional assumption that b > 0 is a natural number. Let
2. Induction and the division algorithm The main method to prove results about the natural numbers is to use induction. We recall some of the details and at the same time present the material in a different
More informationInfinite-Dimensional Triangularization
Infinite-Dimensional Triangularization Zachary Mesyan March 11, 2018 Abstract The goal of this paper is to generalize the theory of triangularizing matrices to linear transformations of an arbitrary vector
More informationComputations/Applications
Computations/Applications 1. Find the inverse of x + 1 in the ring F 5 [x]/(x 3 1). Solution: We use the Euclidean Algorithm: x 3 1 (x + 1)(x + 4x + 1) + 3 (x + 1) 3(x + ) + 0. Thus 3 (x 3 1) + (x + 1)(4x
More information10. Smooth Varieties. 82 Andreas Gathmann
82 Andreas Gathmann 10. Smooth Varieties Let a be a point on a variety X. In the last chapter we have introduced the tangent cone C a X as a way to study X locally around a (see Construction 9.20). It
More informationUNIVERSAL IDENTITIES. b = det
UNIVERSAL IDENTITIES KEITH CONRAD 1 Introduction We want to describe an idea which reduces the verification of algebraic identities valid over all commutative rings to the verification over the complex
More informationA NICHTNEGATIVSTELLENSATZ FOR POLYNOMIALS IN NONCOMMUTING VARIABLES
A NICHTNEGATIVSTELLENSATZ FOR POLYNOMIALS IN NONCOMMUTING VARIABLES IGOR KLEP AND MARKUS SCHWEIGHOFER Abstract. Let S {f} be a set of symmetric polynomials in noncommuting variables. If f satisfies a polynomial
More informationThe 4-periodic spiral determinant
The 4-periodic spiral determinant Darij Grinberg rough draft, October 3, 2018 Contents 001 Acknowledgments 1 1 The determinant 1 2 The proof 4 *** The purpose of this note is to generalize the determinant
More informationFirst Semester Abstract Algebra for Undergraduates
First Semester Abstract Algebra for Undergraduates Lecture notes by: Khim R Shrestha, Ph. D. Assistant Professor of Mathematics University of Great Falls Great Falls, Montana Contents 1 Introduction to
More informationMATH 117 LECTURE NOTES
MATH 117 LECTURE NOTES XIN ZHOU Abstract. This is the set of lecture notes for Math 117 during Fall quarter of 2017 at UC Santa Barbara. The lectures follow closely the textbook [1]. Contents 1. The set
More informationCOMMUTATIVE RINGS. Definition 3: A domain is a commutative ring R that satisfies the cancellation law for multiplication:
COMMUTATIVE RINGS Definition 1: A commutative ring R is a set with two operations, addition and multiplication, such that: (i) R is an abelian group under addition; (ii) ab = ba for all a, b R (commutative
More informationMath 120 HW 9 Solutions
Math 120 HW 9 Solutions June 8, 2018 Question 1 Write down a ring homomorphism (no proof required) f from R = Z[ 11] = {a + b 11 a, b Z} to S = Z/35Z. The main difficulty is to find an element x Z/35Z
More informationMASTERS EXAMINATION IN MATHEMATICS
MASTERS EXAMINATION IN MATHEMATICS PURE MATHEMATICS OPTION FALL 2010 Full points can be obtained for correct answers to 8 questions. Each numbered question (which may have several parts) is worth 20 points.
More information5.1 Commutative rings; Integral Domains
5.1 J.A.Beachy 1 5.1 Commutative rings; Integral Domains from A Study Guide for Beginner s by J.A.Beachy, a supplement to Abstract Algebra by Beachy / Blair 23. Let R be a commutative ring. Prove the following
More information(Rgs) Rings Math 683L (Summer 2003)
(Rgs) Rings Math 683L (Summer 2003) We will first summarise the general results that we will need from the theory of rings. A unital ring, R, is a set equipped with two binary operations + and such that
More informationEXTENSIONS OF ABSOLUTE VALUES
CHAPTER III EXTENSIONS OF ABSOLUTE VALUES 1. Norm and Trace Let k be a field and E a vector space of dimension N over k. We write End k (E) for the ring of k linear endomorphisms of E and Aut k (E) = End
More informationDefinition 2.3. We define addition and multiplication of matrices as follows.
14 Chapter 2 Matrices In this chapter, we review matrix algebra from Linear Algebra I, consider row and column operations on matrices, and define the rank of a matrix. Along the way prove that the row
More informationSome practice problems for midterm 2
Some practice problems for midterm 2 Kiumars Kaveh November 14, 2011 Problem: Let Z = {a G ax = xa, x G} be the center of a group G. Prove that Z is a normal subgroup of G. Solution: First we prove Z is
More informationGraduate Preliminary Examination
Graduate Preliminary Examination Algebra II 18.2.2005: 3 hours Problem 1. Prove or give a counter-example to the following statement: If M/L and L/K are algebraic extensions of fields, then M/K is algebraic.
More informationLecture 2. (1) Every P L A (M) has a maximal element, (2) Every ascending chain of submodules stabilizes (ACC).
Lecture 2 1. Noetherian and Artinian rings and modules Let A be a commutative ring with identity, A M a module, and φ : M N an A-linear map. Then ker φ = {m M : φ(m) = 0} is a submodule of M and im φ is
More informationRings If R is a commutative ring, a zero divisor is a nonzero element x such that xy = 0 for some nonzero element y R.
Rings 10-26-2008 A ring is an abelian group R with binary operation + ( addition ), together with a second binary operation ( multiplication ). Multiplication must be associative, and must distribute over
More informationAFFINE AND PROJECTIVE GEOMETRY, E. Rosado & S.L. Rueda 4. BASES AND DIMENSION
4. BASES AND DIMENSION Definition Let u 1,..., u n be n vectors in V. The vectors u 1,..., u n are linearly independent if the only linear combination of them equal to the zero vector has only zero scalars;
More informationFormal power series rings, inverse limits, and I-adic completions of rings
Formal power series rings, inverse limits, and I-adic completions of rings Formal semigroup rings and formal power series rings We next want to explore the notion of a (formal) power series ring in finitely
More informationRings and Fields Theorems
Rings and Fields Theorems Rajesh Kumar PMATH 334 Intro to Rings and Fields Fall 2009 October 25, 2009 12 Rings and Fields 12.1 Definition Groups and Abelian Groups Let R be a non-empty set. Let + and (multiplication)
More informationLecture 1. (i,j) N 2 kx i y j, and this makes k[x, y]
Lecture 1 1. Polynomial Rings, Gröbner Bases Definition 1.1. Let R be a ring, G an abelian semigroup, and R = i G R i a direct sum decomposition of abelian groups. R is graded (G-graded) if R i R j R i+j
More informationTHE MINIMAL POLYNOMIAL AND SOME APPLICATIONS
THE MINIMAL POLYNOMIAL AND SOME APPLICATIONS KEITH CONRAD. Introduction The easiest matrices to compute with are the diagonal ones. The sum and product of diagonal matrices can be computed componentwise
More informationLecture 6. s S} is a ring.
Lecture 6 1 Localization Definition 1.1. Let A be a ring. A set S A is called multiplicative if x, y S implies xy S. We will assume that 1 S and 0 / S. (If 1 / S, then one can use Ŝ = {1} S instead of
More informationNote that a unit is unique: 1 = 11 = 1. Examples: Nonnegative integers under addition; all integers under multiplication.
Algebra fact sheet An algebraic structure (such as group, ring, field, etc.) is a set with some operations and distinguished elements (such as 0, 1) satisfying some axioms. This is a fact sheet with definitions
More informationACO Comprehensive Exam March 17 and 18, Computability, Complexity and Algorithms
1. Computability, Complexity and Algorithms (a) Let G(V, E) be an undirected unweighted graph. Let C V be a vertex cover of G. Argue that V \ C is an independent set of G. (b) Minimum cardinality vertex
More informationU + V = (U V ) (V U), UV = U V.
Solution of Some Homework Problems (3.1) Prove that a commutative ring R has a unique 1. Proof: Let 1 R and 1 R be two multiplicative identities of R. Then since 1 R is an identity, 1 R = 1 R 1 R. Since
More informationTopic 1: Matrix diagonalization
Topic : Matrix diagonalization Review of Matrices and Determinants Definition A matrix is a rectangular array of real numbers a a a m a A = a a m a n a n a nm The matrix is said to be of order n m if it
More informationIn Theorem 2.2.4, we generalized a result about field extensions to rings. Here is another variation.
Chapter 3 Valuation Rings The results of this chapter come into play when analyzing the behavior of a rational function defined in the neighborhood of a point on an algebraic curve. 3.1 Extension Theorems
More informationThe p-adic Numbers. Akhil Mathew
The p-adic Numbers Akhil Mathew ABSTRACT These are notes for the presentation I am giving today, which itself is intended to conclude the independent study on algebraic number theory I took with Professor
More informationComplete Induction and the Well- Ordering Principle
Complete Induction and the Well- Ordering Principle Complete Induction as a Rule of Inference In mathematical proofs, complete induction (PCI) is a rule of inference of the form P (a) P (a + 1) P (b) k
More information