Derived Algebraic Geometry Over En-Rings John Francis
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Formal Power Series - Wikipedia, the Free Encyclopedia
Formal power series - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Formal_power_series Formal power series From Wikipedia, the free encyclopedia In mathematics, formal power series are a generalization of polynomials as formal objects, where the number of terms is allowed to be infinite; this implies giving up the possibility to substitute arbitrary values for indeterminates. This perspective contrasts with that of power series, whose variables designate numerical values, and which series therefore only have a definite value if convergence can be established. Formal power series are often used merely to represent the whole collection of their coefficients. In combinatorics, they provide representations of numerical sequences and of multisets, and for instance allow giving concise expressions for recursively defined sequences regardless of whether the recursion can be explicitly solved; this is known as the method of generating functions. Contents 1 Introduction 2 The ring of formal power series 2.1 Definition of the formal power series ring 2.1.1 Ring structure 2.1.2 Topological structure 2.1.3 Alternative topologies 2.2 Universal property 3 Operations on formal power series 3.1 Multiplying series 3.2 Power series raised to powers 3.3 Inverting series 3.4 Dividing series 3.5 Extracting coefficients 3.6 Composition of series 3.6.1 Example 3.7 Composition inverse 3.8 Formal differentiation of series 4 Properties 4.1 Algebraic properties of the formal power series ring 4.2 Topological properties of the formal power series -
Dynamic Algebras: Examples, Constructions, Applications
Dynamic Algebras: Examples, Constructions, Applications Vaughan Pratt∗ Dept. of Computer Science, Stanford, CA 94305 Abstract Dynamic algebras combine the classes of Boolean (B ∨ 0 0) and regu- lar (R ∪ ; ∗) algebras into a single finitely axiomatized variety (BR 3) resembling an R-module with “scalar” multiplication 3. The basic result is that ∗ is reflexive transitive closure, contrary to the intuition that this concept should require quantifiers for its definition. Using this result we give several examples of dynamic algebras arising naturally in connection with additive functions, binary relations, state trajectories, languages, and flowcharts. The main result is that free dynamic algebras are residu- ally finite (i.e. factor as a subdirect product of finite dynamic algebras), important because finite separable dynamic algebras are isomorphic to Kripke structures. Applications include a new completeness proof for the Segerberg axiomatization of propositional dynamic logic, and yet another notion of regular algebra. Key words: Dynamic algebra, logic, program verification, regular algebra. This paper originally appeared as Technical Memo #138, Laboratory for Computer Science, MIT, July 1979, and was subsequently revised, shortened, retitled, and published as [Pra80b]. After more than a decade of armtwisting I. N´emeti and H. Andr´eka finally persuaded the author to publish TM#138 itself on the ground that it contained a substantial body of interesting material that for the sake of brevity had been deleted from the STOC-80 version. The principal changes here to TM#138 are the addition of footnotes and the sections at the end on retrospective citations and reflections. ∗This research was supported by the National Science Foundation under NSF grant no. -
An Introduction to Operad Theory
AN INTRODUCTION TO OPERAD THEORY SAIMA SAMCHUCK-SCHNARCH Abstract. We give an introduction to category theory and operad theory aimed at the undergraduate level. We first explore operads in the category of sets, and then generalize to other familiar categories. Finally, we develop tools to construct operads via generators and relations, and provide several examples of operads in various categories. Throughout, we highlight the ways in which operads can be seen to encode the properties of algebraic structures across different categories. Contents 1. Introduction1 2. Preliminary Definitions2 2.1. Algebraic Structures2 2.2. Category Theory4 3. Operads in the Category of Sets 12 3.1. Basic Definitions 13 3.2. Tree Diagram Visualizations 14 3.3. Morphisms and Algebras over Operads of Sets 17 4. General Operads 22 4.1. Basic Definitions 22 4.2. Morphisms and Algebras over General Operads 27 5. Operads via Generators and Relations 33 5.1. Quotient Operads and Free Operads 33 5.2. More Examples of Operads 38 5.3. Coloured Operads 43 References 44 1. Introduction Sets equipped with operations are ubiquitous in mathematics, and many familiar operati- ons share key properties. For instance, the addition of real numbers, composition of functions, and concatenation of strings are all associative operations with an identity element. In other words, all three are examples of monoids. Rather than working with particular examples of sets and operations directly, it is often more convenient to abstract out their common pro- perties and work with algebraic structures instead. For instance, one can prove that in any monoid, arbitrarily long products x1x2 ··· xn have an unambiguous value, and thus brackets 2010 Mathematics Subject Classification. -
Arxiv:Math/0701299V1 [Math.QA] 10 Jan 2007 .Apiain:Tfs F,S N Oooyagba 11 Algebras Homotopy and Tqfts ST CFT, Tqfts, 9.1
FROM OPERADS AND PROPS TO FEYNMAN PROCESSES LUCIAN M. IONESCU Abstract. Operads and PROPs are presented, together with examples and applications to quantum physics suggesting the structure of Feynman categories/PROPs and the corre- sponding algebras. Contents 1. Introduction 2 2. PROPs 2 2.1. PROs 2 2.2. PROPs 3 2.3. The basic example 4 3. Operads 4 3.1. Restricting a PROP 4 3.2. The basic example 5 3.3. PROP generated by an operad 5 4. Representations of PROPs and operads 5 4.1. Morphisms of PROPs 5 4.2. Representations: algebras over a PROP 6 4.3. Morphisms of operads 6 5. Operations with PROPs and operads 6 5.1. Free operads 7 5.1.1. Trees and forests 7 5.1.2. Colored forests 8 5.2. Ideals and quotients 8 5.3. Duality and cooperads 8 6. Classical examples of operads 8 arXiv:math/0701299v1 [math.QA] 10 Jan 2007 6.1. The operad Assoc 8 6.2. The operad Comm 9 6.3. The operad Lie 9 6.4. The operad Poisson 9 7. Examples of PROPs 9 7.1. Feynman PROPs and Feynman categories 9 7.2. PROPs and “bi-operads” 10 8. Higher operads: homotopy algebras 10 9. Applications: TQFTs, CFT, ST and homotopy algebras 11 9.1. TQFTs 11 1 9.1.1. (1+1)-TQFTs 11 9.1.2. (0+1)-TQFTs 12 9.2. Conformal Field Theory 12 9.3. String Theory and Homotopy Lie Algebras 13 9.3.1. String backgrounds 13 9.3.2. -
Algebra + Homotopy = Operad
Symplectic, Poisson and Noncommutative Geometry MSRI Publications Volume 62, 2014 Algebra + homotopy = operad BRUNO VALLETTE “If I could only understand the beautiful consequences following from the concise proposition d 2 0.” —Henri Cartan D This survey provides an elementary introduction to operads and to their ap- plications in homotopical algebra. The aim is to explain how the notion of an operad was prompted by the necessity to have an algebraic object which encodes higher homotopies. We try to show how universal this theory is by giving many applications in algebra, geometry, topology, and mathematical physics. (This text is accessible to any student knowing what tensor products, chain complexes, and categories are.) Introduction 229 1. When algebra meets homotopy 230 2. Operads 239 3. Operadic syzygies 253 4. Homotopy transfer theorem 272 Conclusion 283 Acknowledgements 284 References 284 Introduction Galois explained to us that operations acting on the solutions of algebraic equa- tions are mathematical objects as well. The notion of an operad was created in order to have a well defined mathematical object which encodes “operations”. Its name is a portemanteau word, coming from the contraction of the words “operations” and “monad”, because an operad can be defined as a monad encoding operations. The introduction of this notion was prompted in the 60’s, by the necessity of working with higher operations made up of higher homotopies appearing in algebraic topology. Algebra is the study of algebraic structures with respect to isomorphisms. Given two isomorphic vector spaces and one algebra structure on one of them, 229 230 BRUNO VALLETTE one can always define, by means of transfer, an algebra structure on the other space such that these two algebra structures become isomorphic. -
Fundamental Algebraic Geometry
http://dx.doi.org/10.1090/surv/123 hematical Surveys and onographs olume 123 Fundamental Algebraic Geometry Grothendieck's FGA Explained Barbara Fantechi Lothar Gottsche Luc lllusie Steven L. Kleiman Nitin Nitsure AngeloVistoli American Mathematical Society U^VDED^ EDITORIAL COMMITTEE Jerry L. Bona Peter S. Landweber Michael G. Eastwood Michael P. Loss J. T. Stafford, Chair 2000 Mathematics Subject Classification. Primary 14-01, 14C20, 13D10, 14D15, 14K30, 18F10, 18D30. For additional information and updates on this book, visit www.ams.org/bookpages/surv-123 Library of Congress Cataloging-in-Publication Data Fundamental algebraic geometry : Grothendieck's FGA explained / Barbara Fantechi p. cm. — (Mathematical surveys and monographs, ISSN 0076-5376 ; v. 123) Includes bibliographical references and index. ISBN 0-8218-3541-6 (pbk. : acid-free paper) ISBN 0-8218-4245-5 (soft cover : acid-free paper) 1. Geometry, Algebraic. 2. Grothendieck groups. 3. Grothendieck categories. I Barbara, 1966- II. Mathematical surveys and monographs ; no. 123. QA564.F86 2005 516.3'5—dc22 2005053614 Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy a chapter for use in teaching or research. Permission is granted to quote brief passages from this publication in reviews, provided the customary acknowledgment of the source is given. Republication, systematic copying, or multiple reproduction of any material in this publication is permitted only under license from the American Mathematical Society. Requests for such permission should be addressed to the Acquisitions Department, American Mathematical Society, 201 Charles Street, Providence, Rhode Island 02904-2294, USA. -
THE DERIVED CATEGORY of a GIT QUOTIENT Contents 1. Introduction 871 1.1. Author's Note 874 1.2. Notation 874 2. the Main Theor
JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY Volume 28, Number 3, July 2015, Pages 871–912 S 0894-0347(2014)00815-8 Article electronically published on October 31, 2014 THE DERIVED CATEGORY OF A GIT QUOTIENT DANIEL HALPERN-LEISTNER Dedicated to Ernst Halpern, who inspired my scientific pursuits Contents 1. Introduction 871 1.1. Author’s note 874 1.2. Notation 874 2. The main theorem 875 2.1. Equivariant stratifications in GIT 875 2.2. Statement and proof of the main theorem 878 2.3. Explicit constructions of the splitting and integral kernels 882 3. Homological structures on the unstable strata 883 3.1. Quasicoherent sheaves on S 884 3.2. The cotangent complex and Property (L+) 891 3.3. Koszul systems and cohomology with supports 893 3.4. Quasicoherent sheaves with support on S, and the quantization theorem 894 b 3.5. Alternative characterizations of D (X)<w 896 3.6. Semiorthogonal decomposition of Db(X) 898 4. Derived equivalences and variation of GIT 901 4.1. General variation of the GIT quotient 903 5. Applications to complete intersections: Matrix factorizations and hyperk¨ahler reductions 906 5.1. A criterion for Property (L+) and nonabelian hyperk¨ahler reduction 906 5.2. Applications to derived categories of singularities and abelian hyperk¨ahler reductions, via Morita theory 909 References 911 1. Introduction We describe a relationship between the derived category of equivariant coherent sheaves on a smooth projective-over-affine variety, X, with a linearizable action of a reductive group, G, and the derived category of coherent sheaves on a GIT quotient, X//G, of that action. -
[Math.AG] 5 Feb 2006 Omlvra Aiyfrapoe Ii Nltcspace
DEFORMATION THEORY OF RIGID-ANALYTIC SPACES ISAMU IWANARI Abstract. In this paper, we study a deformation theory of rigid an- alytic spaces. We develop a theory of cotangent complexes for rigid geometry which fits in with our deformations. We then use the com- plexes to give a cohomological description of infinitesimal deformation of rigid analytic spaces. Moreover, we will prove an existence of a formal versal family for a proper rigid analytic space. Introduction The purpose of the present paper is to formulate and develop a deforma- tion theory of rigid analytic spaces. We will give a cohomological description of infinitesimal deformations. Futhermore we will prove an existence of a formal versal family for a proper rigid analytic space. The original idea of deformations goes back to Kodaira and Spencer. They developed the theory of deformations of complex manifolds. Their deformation theory of complex manifolds is of great importance and becomes a standard tool for the study of complex analytic spaces. Our study of deformations of rigid analytic spaces is motivated by analogy to the case of complex analytic spaces. More precisely, our interest in the development of such a theory comes from two sources. First, we want to construct an analytic moduli theory via rigid analytic stacks by generalizing the classical deformation theory due to Kodaira-Spencer, Kuranishi and Grauert to the non-Archimedean theory. This viewpoint will be discussed in Section 5. Secondly, we may hope that our theory is useful in arithmetic geometry no less than the complex-analytic deformation theory is very useful in the study of complex-analytic spaces. -
On Minimally Free Algebras
Can. J. Math., Vol. XXXVII, No. 5, 1985, pp. 963-978 ON MINIMALLY FREE ALGEBRAS PAUL BANKSTON AND RICHARD SCHUTT 1. Introduction. For us an "algebra" is a finitary "universal algebra" in the sense of G. Birkhoff [9]. We are concerned in this paper with algebras whose endomorphisms are determined by small subsets. For example, an algebra A is rigid (in the strong sense) if the only endomorphism on A is the identity id^. In this case, the empty set determines the endomorphism set E(A). We place the property of rigidity at the bottom rung of a cardinal-indexed ladder of properties as follows. Given a cardinal number K, an algebra .4 is minimally free over a set of cardinality K (K-free for short) if there is a subset X Q A of cardinality K such that every function f\X —-> A extends to a unique endomorphism <p e E(A). (It is clear that A is rigid if and only if A is 0-free.) Members of X will be called counters; and we will be interested in how badly counters can fail to generate the algebra. The property "«-free" is a solipsistic version of "free on K generators" in the sense that A has this property if and only if A is free over a set of cardinality K relative to the concrete category whose sole object is A and whose morphisms are the endomorphisms of A (thus explaining the use of the adverb "minimally" above). In view of this we see that the free algebras on K generators relative to any variety give us examples of "small" K-free algebras. -
Math 250A: Groups, Rings, and Fields. H. W. Lenstra Jr. 1. Prerequisites
Math 250A: Groups, rings, and fields. H. W. Lenstra jr. 1. Prerequisites This section consists of an enumeration of terms from elementary set theory and algebra. You are supposed to be familiar with their definitions and basic properties. Set theory. Sets, subsets, the empty set , operations on sets (union, intersection, ; product), maps, composition of maps, injective maps, surjective maps, bijective maps, the identity map 1X of a set X, inverses of maps. Relations, equivalence relations, equivalence classes, partial and total orderings, the cardinality #X of a set X. The principle of math- ematical induction. Zorn's lemma will be assumed in a number of exercises. Later in the course the terminology and a few basic results from point set topology may come in useful. Group theory. Groups, multiplicative and additive notation, the unit element 1 (or the zero element 0), abelian groups, cyclic groups, the order of a group or of an element, Fermat's little theorem, products of groups, subgroups, generators for subgroups, left cosets aH, right cosets, the coset spaces G=H and H G, the index (G : H), the theorem of n Lagrange, group homomorphisms, isomorphisms, automorphisms, normal subgroups, the factor group G=N and the canonical map G G=N, homomorphism theorems, the Jordan- ! H¨older theorem (see Exercise 1.4), the commutator subgroup [G; G], the center Z(G) (see Exercise 1.12), the group Aut G of automorphisms of G, inner automorphisms. Examples of groups: the group Sym X of permutations of a set X, the symmetric group S = Sym 1; 2; : : : ; n , cycles of permutations, even and odd permutations, the alternating n f g group A , the dihedral group D = (1 2 : : : n); (1 n 1)(2 n 2) : : : , the Klein four group n n h − − i V , the quaternion group Q = 1; i; j; ij (with ii = jj = 1, ji = ij) of order 4 8 { g − − 8, additive groups of rings, the group Gl(n; R) of invertible n n-matrices over a ring R. -
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. -
Hilbert's Basis Theorem for Non-Associative and Hom
HILBERT’S BASIS THEOREM FOR NON-ASSOCIATIVE AND HOM-ASSOCIATIVE ORE EXTENSIONS PER BACK¨ AND JOHAN RICHTER Abstract. We prove a hom-associative version of Hilbert’s basis theorem, which includes as special cases both a non-associative version and the classi- cal associative Hilbert’s basis theorem for Ore extensions. Along the way, we develop hom-module theory, including the introduction of corresponding iso- morphism theorems and a notion of being hom-noetherian. We conclude with some examples of both non-associative and hom-associative Ore extensions which are all noetherian by our theorem. 1. Introduction Hom-associative algebras are not necessarily associative algebras, the associativ- ity condition being replaced by α(a) · (b · c) = (a · b) · α(c), where α is a linear map referred to as a twisting map, and a,b,c arbitrary elements in the algebra. Both as- sociative algebras and non-associative algebras can thus be seen as hom-associative algebras; in the first case, by taking α equal to the identity map, and in the latter case by taking α equal to the zero map. Historically hom-associative algebras originate in the development of hom-Lie al- gebras, the latter introduced by Hartwig, Larsson and Silvestrov as generalizations of Lie algebras, the Jacobi identity now twisted by a vector space homomorphism; the “hom” referring to this homomorphism [6]. The introduction of these gener- alizations of Lie algebras was mainly motivated by an attempt to study so-called q-deformations of the Witt and Virasoro algebras within a common framework. Makhlouf and Silvestrov then introduced hom-associative algebras as the natural counterparts to associative algebras; taking a hom-associative algebra and defining the commutator as a new multiplication gives a hom-Lie algebra, just as with the classical relation between associative algebras and Lie algebras [7].