Constructing Homomorphism Spaces and Endomorphism Rings
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Modules and Vector Spaces
Modules and Vector Spaces R. C. Daileda October 16, 2017 1 Modules Definition 1. A (left) R-module is a triple (R; M; ·) consisting of a ring R, an (additive) abelian group M and a binary operation · : R × M ! M (simply written as r · m = rm) that for all r; s 2 R and m; n 2 M satisfies • r(m + n) = rm + rn ; • (r + s)m = rm + sm ; • r(sm) = (rs)m. If R has unity we also require that 1m = m for all m 2 M. If R = F , a field, we call M a vector space (over F ). N Remark 1. One can show that as a consequence of this definition, the zeros of R and M both \act like zero" relative to the binary operation between R and M, i.e. 0Rm = 0M and r0M = 0M for all r 2 R and m 2 M. H Example 1. Let R be a ring. • R is an R-module using multiplication in R as the binary operation. • Every (additive) abelian group G is a Z-module via n · g = ng for n 2 Z and g 2 G. In fact, this is the only way to make G into a Z-module. Since we must have 1 · g = g for all g 2 G, one can show that n · g = ng for all n 2 Z. Thus there is only one possible Z-module structure on any abelian group. • Rn = R ⊕ R ⊕ · · · ⊕ R is an R-module via | {z } n times r(a1; a2; : : : ; an) = (ra1; ra2; : : : ; ran): • Mn(R) is an R-module via r(aij) = (raij): • R[x] is an R-module via X i X i r aix = raix : i i • Every ideal in R is an R-module. -
Pub . Mat . UAB Vol . 27 N- 1 on the ENDOMORPHISM RING of A
Pub . Mat . UAB Vol . 27 n- 1 ON THE ENDOMORPHISM RING OF A FREE MODULE Pere Menal Throughout, let R be an (associative) ring (with 1) . Let F be the free right R-module, over an infinite set C, with endomorphism ring H . In this note we first study those rings R such that H is left coh- erent .By comparison with Lenzing's characterization of those rings R such that H is right coherent [8, Satz 41, we obtain a large class of rings H which are right but not left coherent . Also we are concerned with the rings R such that H is either right (left) IF-ring or else right (left) self-FP-injective . In particular we pro- ve that H is right self-FP-injective if and only if R is quasi-Frobenius (QF) (this is an slight generalization of results of Faith and .Walker [31 which assure that R must be QF whenever H is right self-i .njective) moreover, this occurs if and only if H is a left IF-ring . On the other hand we shall see that if' R is .pseudo-Frobenius (PF), that is R is an . injective cogenera- tortin Mod-R, then H is left self-FP-injective . Hence any PF-ring, R, that is not QF is such that H is left but not right self FP-injective . A left R-module M is said to be FP-injective if every R-homomorphism N -. M, where N is a -finitély generated submodule of a free module F, may be extended to F . -
MA3203 Ring Theory Spring 2019 Norwegian University of Science and Technology Exercise Set 3 Department of Mathematical Sciences
MA3203 Ring theory Spring 2019 Norwegian University of Science and Technology Exercise set 3 Department of Mathematical Sciences 1 Decompose the following representation into indecomposable representations: 1 1 1 1 1 1 1 1 2 2 2 k k k . α γ 2 Let Q be the quiver 1 2 3 and Λ = kQ. β δ a) Find the representations corresponding to the modules Λei, for i = 1; 2; 3. Let R be a ring and M an R-module. The endomorphism ring is defined as EndR(M) := ff : M ! M j f R-homomorphismg. b) Show that EndR(M) is indeed a ring. c) Show that an R-module M is decomposable if and only if its endomorphism ring EndR(M) contains a non-trivial idempotent, that is, an element f 6= 0; 1 such that f 2 = f. ∼ Hint: If M = M1 ⊕ M2 is decomposable, consider the projection morphism M ! M1. Conversely, any idempotent can be thought of as a projection mor- phism. d) Using c), show that the representation corresponding to Λe1 is indecomposable. ∼ Hint: Prove that EndΛ(Λe1) = k by showing that every Λ-homomorphism Λe1 ! Λe1 depends on a parameter l 2 k and that every l 2 k gives such a homomorphism. 3 Let A be a k-algebra, e 2 A be an idempotent and M be an A-module. a) Show that eAe is a k-algebra and that e is the identity element. For two A-modules N1, N2, we denote by HomA(N1;N2) the space of A-module morphism from N1 to N2. -
Idempotent Lifting and Ring Extensions
IDEMPOTENT LIFTING AND RING EXTENSIONS ALEXANDER J. DIESL, SAMUEL J. DITTMER, AND PACE P. NIELSEN Abstract. We answer multiple open questions concerning lifting of idempotents that appear in the literature. Most of the results are obtained by constructing explicit counter-examples. For instance, we provide a ring R for which idempotents lift modulo the Jacobson radical J(R), but idempotents do not lift modulo J(M2(R)). Thus, the property \idempotents lift modulo the Jacobson radical" is not a Morita invariant. We also prove that if I and J are ideals of R for which idempotents lift (even strongly), then it can be the case that idempotents do not lift over I + J. On the positive side, if I and J are enabling ideals in R, then I + J is also an enabling ideal. We show that if I E R is (weakly) enabling in R, then I[t] is not necessarily (weakly) enabling in R[t] while I t is (weakly) enabling in R t . The latter result is a special case of a more general theorem about completions.J K Finally, we give examplesJ K showing that conjugate idempotents are not necessarily related by a string of perspectivities. 1. Introduction In ring theory it is useful to be able to lift properties of a factor ring of R back to R itself. This is often accomplished by restricting to a nice class of rings. Indeed, certain common classes of rings are defined precisely in terms of such lifting properties. For instance, semiperfect rings are those rings R for which R=J(R) is semisimple and idempotents lift modulo the Jacobson radical. -
MAS4107 Linear Algebra 2 Linear Maps And
Introduction Groups and Fields Vector Spaces Subspaces, Linear . Bases and Coordinates MAS4107 Linear Algebra 2 Linear Maps and . Change of Basis Peter Sin More on Linear Maps University of Florida Linear Endomorphisms email: [email protected]fl.edu Quotient Spaces Spaces of Linear . General Prerequisites Direct Sums Minimal polynomial Familiarity with the notion of mathematical proof and some experience in read- Bilinear Forms ing and writing proofs. Familiarity with standard mathematical notation such as Hermitian Forms summations and notations of set theory. Euclidean and . Self-Adjoint Linear . Linear Algebra Prerequisites Notation Familiarity with the notion of linear independence. Gaussian elimination (reduction by row operations) to solve systems of equations. This is the most important algorithm and it will be assumed and used freely in the classes, for example to find JJ J I II coordinate vectors with respect to basis and to compute the matrix of a linear map, to test for linear dependence, etc. The determinant of a square matrix by cofactors Back and also by row operations. Full Screen Close Quit Introduction 0. Introduction Groups and Fields Vector Spaces These notes include some topics from MAS4105, which you should have seen in one Subspaces, Linear . form or another, but probably presented in a totally different way. They have been Bases and Coordinates written in a terse style, so you should read very slowly and with patience. Please Linear Maps and . feel free to email me with any questions or comments. The notes are in electronic Change of Basis form so sections can be changed very easily to incorporate improvements. -
OBJ (Application/Pdf)
GROUPOIDS WITH SEMIGROUP OPERATORS AND ADDITIVE ENDOMORPHISM A THESIS SUBMITTED TO THE FACULTY OF ATLANTA UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS POR THE DEGREE OF MASTER OF SCIENCE BY FRED HENDRIX HUGHES DEPARTMENT OF MATHEMATICS ATLANTA, GEORGIA JUNE 1965 TABLE OF CONTENTS Chapter Page I' INTRODUCTION. 1 II GROUPOIDS WITH SEMIGROUP OPERATORS 6 - Ill GROUPOIDS WITH ADDITIVE ENDOMORPHISM 12 BIBLIOGRAPHY 17 ii 4 CHAPTER I INTRODUCTION A set is an undefined termj however, one can say a set is a collec¬ tion of objects according to our sight and perception. Several authors use this definition, a set is a collection of definite distinct objects called elements. This concept is the foundation for mathematics. How¬ ever, it was not until the latter part of the nineteenth century when the concept was formally introduced. From this concept of a set, mathematicians, by placing restrictions on a set, have developed the algebraic structures which we employ. The structures are closely related as the diagram below illustrates. Quasigroup Set The first structure is a groupoid which the writer will discuss the following properties: subgroupiod, antigroupoid, expansive set homor- phism of groupoids in semigroups, groupoid with semigroupoid operators and groupoids with additive endormorphism. Definition 1.1. — A set of elements G - f x,y,z } which is defined by a single-valued binary operation such that x o y ■ z é G (The only restriction is closure) is called a groupiod. Definition 1.2. — The binary operation will be a mapping of the set into itself (AA a direct product.) 1 2 Definition 1.3» — A non-void subset of a groupoid G is called a subgroupoid if and only if AA C A. -
6. Localization
52 Andreas Gathmann 6. Localization Localization is a very powerful technique in commutative algebra that often allows to reduce ques- tions on rings and modules to a union of smaller “local” problems. It can easily be motivated both from an algebraic and a geometric point of view, so let us start by explaining the idea behind it in these two settings. Remark 6.1 (Motivation for localization). (a) Algebraic motivation: Let R be a ring which is not a field, i. e. in which not all non-zero elements are units. The algebraic idea of localization is then to make more (or even all) non-zero elements invertible by introducing fractions, in the same way as one passes from the integers Z to the rational numbers Q. Let us have a more precise look at this particular example: in order to construct the rational numbers from the integers we start with R = Z, and let S = Znf0g be the subset of the elements of R that we would like to become invertible. On the set R×S we then consider the equivalence relation (a;s) ∼ (a0;s0) , as0 − a0s = 0 a and denote the equivalence class of a pair (a;s) by s . The set of these “fractions” is then obviously Q, and we can define addition and multiplication on it in the expected way by a a0 as0+a0s a a0 aa0 s + s0 := ss0 and s · s0 := ss0 . (b) Geometric motivation: Now let R = A(X) be the ring of polynomial functions on a variety X. In the same way as in (a) we can ask if it makes sense to consider fractions of such polynomials, i. -
Ring (Mathematics) 1 Ring (Mathematics)
Ring (mathematics) 1 Ring (mathematics) In mathematics, a ring is an algebraic structure consisting of a set together with two binary operations usually called addition and multiplication, where the set is an abelian group under addition (called the additive group of the ring) and a monoid under multiplication such that multiplication distributes over addition.a[›] In other words the ring axioms require that addition is commutative, addition and multiplication are associative, multiplication distributes over addition, each element in the set has an additive inverse, and there exists an additive identity. One of the most common examples of a ring is the set of integers endowed with its natural operations of addition and multiplication. Certain variations of the definition of a ring are sometimes employed, and these are outlined later in the article. Polynomials, represented here by curves, form a ring under addition The branch of mathematics that studies rings is known and multiplication. as ring theory. Ring theorists study properties common to both familiar mathematical structures such as integers and polynomials, and to the many less well-known mathematical structures that also satisfy the axioms of ring theory. The ubiquity of rings makes them a central organizing principle of contemporary mathematics.[1] Ring theory may be used to understand fundamental physical laws, such as those underlying special relativity and symmetry phenomena in molecular chemistry. The concept of a ring first arose from attempts to prove Fermat's last theorem, starting with Richard Dedekind in the 1880s. After contributions from other fields, mainly number theory, the ring notion was generalized and firmly established during the 1920s by Emmy Noether and Wolfgang Krull.[2] Modern ring theory—a very active mathematical discipline—studies rings in their own right. -
WOMP 2001: LINEAR ALGEBRA Reference Roman, S. Advanced
WOMP 2001: LINEAR ALGEBRA DAN GROSSMAN Reference Roman, S. Advanced Linear Algebra, GTM #135. (Not very good.) 1. Vector spaces Let k be a field, e.g., R, Q, C, Fq, K(t),. Definition. A vector space over k is a set V with two operations + : V × V → V and · : k × V → V satisfying some familiar axioms. A subspace of V is a subset W ⊂ V for which • 0 ∈ W , • If w1, w2 ∈ W , a ∈ k, then aw1 + w2 ∈ W . The quotient of V by the subspace W ⊂ V is the vector space whose elements are subsets of the form (“affine translates”) def v + W = {v + w : w ∈ W } (for which v + W = v0 + W iff v − v0 ∈ W , also written v ≡ v0 mod W ), and whose operations +, · are those naturally induced from the operations on V . Exercise 1. Verify that our definition of the vector space V/W makes sense. Given a finite collection of elements (“vectors”) v1, . , vm ∈ V , their span is the subspace def hv1, . , vmi = {a1v1 + ··· amvm : a1, . , am ∈ k}. Exercise 2. Verify that this is a subspace. There may sometimes be redundancy in a spanning set; this is expressed by the notion of linear dependence. The collection v1, . , vm ∈ V is said to be linearly dependent if there is a linear combination a1v1 + ··· + amvm = 0, some ai 6= 0. This is equivalent to being able to express at least one of the vi as a linear combination of the others. Exercise 3. Verify this equivalence. Theorem. Let V be a vector space over a field k. -
Classifying Categories the Jordan-Hölder and Krull-Schmidt-Remak Theorems for Abelian Categories
U.U.D.M. Project Report 2018:5 Classifying Categories The Jordan-Hölder and Krull-Schmidt-Remak Theorems for Abelian Categories Daniel Ahlsén Examensarbete i matematik, 30 hp Handledare: Volodymyr Mazorchuk Examinator: Denis Gaidashev Juni 2018 Department of Mathematics Uppsala University Classifying Categories The Jordan-Holder¨ and Krull-Schmidt-Remak theorems for abelian categories Daniel Ahlsen´ Uppsala University June 2018 Abstract The Jordan-Holder¨ and Krull-Schmidt-Remak theorems classify finite groups, either as direct sums of indecomposables or by composition series. This thesis defines abelian categories and extends the aforementioned theorems to this context. 1 Contents 1 Introduction3 2 Preliminaries5 2.1 Basic Category Theory . .5 2.2 Subobjects and Quotients . .9 3 Abelian Categories 13 3.1 Additive Categories . 13 3.2 Abelian Categories . 20 4 Structure Theory of Abelian Categories 32 4.1 Exact Sequences . 32 4.2 The Subobject Lattice . 41 5 Classification Theorems 54 5.1 The Jordan-Holder¨ Theorem . 54 5.2 The Krull-Schmidt-Remak Theorem . 60 2 1 Introduction Category theory was developed by Eilenberg and Mac Lane in the 1942-1945, as a part of their research into algebraic topology. One of their aims was to give an axiomatic account of relationships between collections of mathematical structures. This led to the definition of categories, functors and natural transformations, the concepts that unify all category theory, Categories soon found use in module theory, group theory and many other disciplines. Nowadays, categories are used in most of mathematics, and has even been proposed as an alternative to axiomatic set theory as a foundation of mathematics.[Law66] Due to their general nature, little can be said of an arbitrary category. -
11. Finitely-Generated Modules
11. Finitely-generated modules 11.1 Free modules 11.2 Finitely-generated modules over domains 11.3 PIDs are UFDs 11.4 Structure theorem, again 11.5 Recovering the earlier structure theorem 11.6 Submodules of free modules 1. Free modules The following definition is an example of defining things by mapping properties, that is, by the way the object relates to other objects, rather than by internal structure. The first proposition, which says that there is at most one such thing, is typical, as is its proof. Let R be a commutative ring with 1. Let S be a set. A free R-module M on generators S is an R-module M and a set map i : S −! M such that, for any R-module N and any set map f : S −! N, there is a unique R-module homomorphism f~ : M −! N such that f~◦ i = f : S −! N The elements of i(S) in M are an R-basis for M. [1.0.1] Proposition: If a free R-module M on generators S exists, it is unique up to unique isomorphism. Proof: First, we claim that the only R-module homomorphism F : M −! M such that F ◦ i = i is the identity map. Indeed, by definition, [1] given i : S −! M there is a unique ~i : M −! M such that ~i ◦ i = i. The identity map on M certainly meets this requirement, so, by uniqueness, ~i can only be the identity. Now let M 0 be another free module on generators S, with i0 : S −! M 0 as in the definition. -
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 .