Group Actions on Sets with Applications to Finite Groups
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Fuzzy Logic : Introduction
Fuzzy Logic : Introduction Debasis Samanta IIT Kharagpur [email protected] 07.01.2015 Debasis Samanta (IIT Kharagpur) Soft Computing Applications 07.01.2015 1 / 69 What is Fuzzy logic? Fuzzy logic is a mathematical language to express something. This means it has grammar, syntax, semantic like a language for communication. There are some other mathematical languages also known • Relational algebra (operations on sets) • Boolean algebra (operations on Boolean variables) • Predicate logic (operations on well formed formulae (wff), also called predicate propositions) Fuzzy logic deals with Fuzzy set. Debasis Samanta (IIT Kharagpur) Soft Computing Applications 07.01.2015 2 / 69 A brief history of Fuzzy Logic First time introduced by Lotfi Abdelli Zadeh (1965), University of California, Berkley, USA (1965). He is fondly nick-named as LAZ Debasis Samanta (IIT Kharagpur) Soft Computing Applications 07.01.2015 3 / 69 A brief history of Fuzzy logic 1 Dictionary meaning of fuzzy is not clear, noisy etc. Example: Is the picture on this slide is fuzzy? 2 Antonym of fuzzy is crisp Example: Are the chips crisp? Debasis Samanta (IIT Kharagpur) Soft Computing Applications 07.01.2015 4 / 69 Example : Fuzzy logic vs. Crisp logic Yes or No Crisp answer True or False Milk Yes Water A liquid Crisp Coca No Spite Is the liquid colorless? Debasis Samanta (IIT Kharagpur) Soft Computing Applications 07.01.2015 5 / 69 Example : Fuzzy logic vs. Crisp logic May be May not be Fuzzy answer Absolutely Partially etc Debasis Samanta (IIT Kharagpur) Soft Computing Applications -
Mathematics Is Megethology
17 Mathematics is megethology Mereology is the theory of the relation of part to whole, and kindred notions. Megethology is the result of adding plural quantification, as advocated by George Boolos in [1] and [2], to the language of mere ology. It is so-called because it turns out to have enough expressive power to let us express interesting hypotheses about the size of Reality. It also has the power, as John P. Burgess and A. P. Hazen have shown in [3], to simulate quantification over relations. It is generally accepted that mathematics reduces to set theory. In my book Parts of Classes, [6], I argued that set theory in turn reduces, with the aid of mereology, to the theory of singleton functions. I also argued (somewhat reluctantly) for a 'structuralist' approach to the theory of singleton functions. We need not think we have somehow achieved a primitive grasp of some one special singleton function. Rather, we can take the theory of singleton functions, and hence set theory, and hence mathematics, to consist of generalisations about all singleton functions. We need only assume, to avoid vacuity, that there exists at least one singleton function. But we need not assume even that. For it now turns out that if the size of Reality is right, there must exist a singleton function. All we need as a foundation for mathematics, apart from the framework of megethology, are some hypotheses about the size of Reality. First published in this form in Philosophia Mathematila 3 (1993), 3--23. This paper consists in part of near-verbatim excerpts from David Lewis, Parts of Classes (Oxford, Blackwell, 1991). -
Definiteness and Determinacy
Linguistics and Philosophy manuscript No. (will be inserted by the editor) Definiteness and Determinacy Elizabeth Coppock · David Beaver the date of receipt and acceptance should be inserted later Abstract This paper distinguishes between definiteness and determinacy. Defi- niteness is seen as a morphological category which, in English, marks a (weak) uniqueness presupposition, while determinacy consists in denoting an individual. Definite descriptions are argued to be fundamentally predicative, presupposing uniqueness but not existence, and to acquire existential import through general type-shifting operations that apply not only to definites, but also indefinites and possessives. Through these shifts, argumental definite descriptions may become either determinate (and thus denote an individual) or indeterminate (functioning as an existential quantifier). The latter option is observed in examples like `Anna didn't give the only invited talk at the conference', which, on its indeterminate reading, implies that there is nothing in the extension of `only invited talk at the conference'. The paper also offers a resolution of the issue of whether posses- sives are inherently indefinite or definite, suggesting that, like indefinites, they do not mark definiteness lexically, but like definites, they typically yield determinate readings due to a general preference for the shifting operation that produces them. Keywords definiteness · descriptions · possessives · predicates · type-shifting We thank Dag Haug, Reinhard Muskens, Luca Crniˇc,Cleo Condoravdi, Lucas -
GROUP ACTIONS 1. Introduction the Groups Sn, An, and (For N ≥ 3)
GROUP ACTIONS KEITH CONRAD 1. Introduction The groups Sn, An, and (for n ≥ 3) Dn behave, by their definitions, as permutations on certain sets. The groups Sn and An both permute the set f1; 2; : : : ; ng and Dn can be considered as a group of permutations of a regular n-gon, or even just of its n vertices, since rigid motions of the vertices determine where the rest of the n-gon goes. If we label the vertices of the n-gon in a definite manner by the numbers from 1 to n then we can view Dn as a subgroup of Sn. For instance, the labeling of the square below lets us regard the 90 degree counterclockwise rotation r in D4 as (1234) and the reflection s across the horizontal line bisecting the square as (24). The rest of the elements of D4, as permutations of the vertices, are in the table below the square. 2 3 1 4 1 r r2 r3 s rs r2s r3s (1) (1234) (13)(24) (1432) (24) (12)(34) (13) (14)(23) If we label the vertices in a different way (e.g., swap the labels 1 and 2), we turn the elements of D4 into a different subgroup of S4. More abstractly, if we are given a set X (not necessarily the set of vertices of a square), then the set Sym(X) of all permutations of X is a group under composition, and the subgroup Alt(X) of even permutations of X is a group under composition. If we list the elements of X in a definite order, say as X = fx1; : : : ; xng, then we can think about Sym(X) as Sn and Alt(X) as An, but a listing in a different order leads to different identifications 1 of Sym(X) with Sn and Alt(X) with An. -
Solutions Are Available
Math 436 Introduction to Topology Spring 2018 Examination 1 1. Define (a) the concept of the closure of a set, and (b) the concept of a basis for a given topology. Solution. The closure of a set A can be defined as the smallest closed set containing A, or as the intersection of all closed sets containing A, or as the union of A with the set of limit points of A. A basis for a given topology is a subset of such that every element of can be obtained as a union of elements of . In alternative language, a basis for a given topology is a collection of open sets such that every open set can be obtained by taking a union of some open sets belonging to the basis. 2. Give an example of a separable Hausdorff topological space .X; / with the property that X has no limit points. Solution. A point x is a limit point of X when every neighborhood of x intersects X ⧵ ^x`. This property evidently holds unless the singleton set ^x` is an open set. Saying that X has no limit points is equivalent to saying that every singleton set is an open set. In other words, the topology on X is the discrete topology. The discrete topology is automatically Hausdorff, for if x and y are distinct points, then the sets ^x` and ^y` are disjoint open sets that separate x from y. A minimal basis for the discrete topology consists of all singletons, so the discrete topology is separable if and only if the space X is countable. -
Mathematics of the Rubik's Cube
Mathematics of the Rubik's cube Associate Professor W. D. Joyner Spring Semester, 1996{7 2 \By and large it is uniformly true that in mathematics that there is a time lapse between a mathematical discovery and the moment it becomes useful; and that this lapse can be anything from 30 to 100 years, in some cases even more; and that the whole system seems to function without any direction, without any reference to usefulness, and without any desire to do things which are useful." John von Neumann COLLECTED WORKS, VI, p. 489 For more mathematical quotes, see the first page of each chapter below, [M], [S] or the www page at http://math.furman.edu/~mwoodard/mquot. html 3 \There are some things which cannot be learned quickly, and time, which is all we have, must be paid heavily for their acquiring. They are the very simplest things, and because it takes a man's life to know them the little new that each man gets from life is very costly and the only heritage he has to leave." Ernest Hemingway (From A. E. Hotchner, PAPA HEMMINGWAY, Random House, NY, 1966) 4 Contents 0 Introduction 13 1 Logic and sets 15 1.1 Logic................................ 15 1.1.1 Expressing an everyday sentence symbolically..... 18 1.2 Sets................................ 19 2 Functions, matrices, relations and counting 23 2.1 Functions............................. 23 2.2 Functions on vectors....................... 28 2.2.1 History........................... 28 2.2.2 3 × 3 matrices....................... 29 2.2.3 Matrix multiplication, inverses.............. 30 2.2.4 Muliplication and inverses............... -
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. -
Arxiv:Cs/0410053V1 [Cs.DB] 20 Oct 2004 Oe.Teesrcue R Xeso of Extension Are Structures These Model
An Extended Generalized Disjunctive Paraconsistent Data Model for Disjunctive Information Haibin Wang, Hao Tian and Rajshekhar Sunderraman Department of Computer Science Georgia State University Atlanta, GA 30302 email: {hwang17,htian1}@student.gsu.edu, [email protected] Abstract. This paper presents an extension of generalized disjunctive paraconsistent relational data model in which pure disjunctive positive and negative information as well as mixed disjunctive positive and nega- tive information can be represented explicitly and manipulated. We con- sider explicit mixed disjunctive information in the context of disjunctive databases as there is an interesting interplay between these two types of information. Extended generalized disjunctive paraconsistent relation is introduced as the main structure in this model. The relational algebra is appropriately generalized to work on extended generalized disjunctive paraconsistent relations and their correctness is established. 1 Introduction Relational data model was proposed by Ted Codd’s pioneering paper [1]. Re- lational data model is value-oriented and has rich set of simple, but powerful algebraic operators. Moreover, a strong theoretical foundation for the model is provided by the classical first-order logic [2]. This combination of a respectable theoretical platform, ease of implementation and the practicality of the model resulted in its immediate success, and the model has enjoyed being used by many database management systems. One limitation of the relational data model, however, is its lack of applicabil- arXiv:cs/0410053v1 [cs.DB] 20 Oct 2004 ity to nonclassical situations. These are situations involving incomplete or even inconsistent information. Several types of incomplete information have been extensively studied in the past such as null values [3,4,5], partial values [6], fuzzy and uncertain values [7,8], and disjunctive information [9,10,11]. -
An Algebraic Approach to the Weyl Groupoid
An Algebraic Approach to the Weyl Groupoid Tristan Bice✩ Institute of Mathematics Czech Academy of Sciences Zitn´a25,ˇ 115 67 Prague, Czech Republic Abstract We unify the Kumjian-Renault Weyl groupoid construction with the Lawson- Lenz version of Exel’s tight groupoid construction. We do this by utilising only a weak algebraic fragment of the C*-algebra structure, namely its *-semigroup reduct. Fundamental properties like local compactness are also shown to remain valid in general classes of *-rings. Keywords: Weyl groupoid, tight groupoid, C*-algebra, inverse semigroup, *-semigroup, *-ring 2010 MSC: 06F05, 20M25, 20M30, 22A22, 46L05, 46L85, 47D03 1. Introduction 1.1. Background Renault’s groundbreaking thesis [Ren80] revealed the striking interplay be- tween ´etale groupoids and the C*-algebras they give rise to. Roughly speaking, the ´etale groupoid provides a more topological picture of the corresponding C*-algebra, with various key properties of the algebra, like nuclearity and sim- plicity (see [ADR00] and [CEP+19]), being determined in a straightforward way from the underlying ´etale groupoid. Naturally, this has led to the quest to find appropriate ´etale groupoid models for various C*-algebras. Two general methods have emerged for finding such models, namely arXiv:1911.08812v3 [math.OA] 20 Sep 2020 1. Exel’s tight groupoid construction from an inverse semigroup, and 2. Kumjian-Renault’s Weyl groupoid construction from a Cartan C*-subalgebra (see [Exe08], [Kum86] and [Ren08]). However, both of these have their limi- tations. For example, tight groupoids are always ample, which means the cor- responding C*-algebras always have lots of projections. On the other hand, the Weyl groupoid is always effective, which discounts many naturally arising groupoids. -
A Class of Totally Geodesic Foliations of Lie Groups
Proc. Indian Acad. Sci. (Math. Sci.), Vol. 100, No. 1, April 1990, pp. 57-64. ~2 Printed in India. A class of totally geodesic foliations of Lie groups G SANTHANAM School of Mathematics. Tata Institute of Fundamental Research, Homi Bhabha Road, Bombay 400005, India MS received 4 October 1988; revised 25 May 1989 A~traet. This paper is devoted to classifying the foliations of G with leaves of the form .qKh - t where G is a compact, connected and simply connected L,c group and K is a connected closed subgroup of G such that G/K is a rank-I Riemannian symmetric space. In the case when G/K =S", the homotopy type of space of such foliations is also given. Keywords. Foliations; rank-I Riemannian symmetric space; cutlocus. I. Introduction The study of fibrations of spheres by great spheres is a very interesting problem in geometry and it is very important in the theory of Blaschke manifolds. In [l], Gluck and Warner have studied the great circle fibrations of the three spheres. In that paper they have proved very interesting results. When we look at the problem group theoretically, we see that all the results of [1] go through, for foliations of G with leaves of the form gKh- 1 where G is a compact, connected and simply connected Lie group and K is a connected closed subgroup of G such that G/K is a rank- l Riemannian symmetric space (see [-2]), except perhaps the theorem 3 for the pair (G, K) such that G/K=CP n, HP ~ etc. -
Distortion of Dimension by Metric Space-Valued Sobolev Mappings Lecture II
Distortion of dimension by metric space-valued Sobolev mappings Lecture II Jeremy Tyson University of Illinois at Urbana-Champaign Metric Spaces: Analysis, Embeddings into Banach Spaces, Applications Texas A&M University College Station, TX 8 July 2016 Outline Lecture I. Sobolev and quasiconformal mappings in Euclidean space Lecture II. Sobolev mappings between metric spaces Lecture III. Dimension distortion theorems for Sobolev and quasiconformal mappings defined from the sub-Riemannian Heisenberg group f homeo in Rn, n ≥ 2 Gehring metric QC ) analytic QC ) geometric QC modulus) estimates (local) QS f : X ! Y homeo between proper Q-regular mms satisfying Q-PI, Q > 1 0 metric QC HK=)98 QS f : X ! Y homeo between proper Q-regular mms 0 . geometric QC T(98 QS Motivation: quasiconformal mappings in metric spaces The theory of analysis in metric measure spaces originates in two papers of Juha Heinonen and Pekka Koskela: ‘Definitions of quasiconformality', Invent. Math., 1995 `QC maps in metric spaces of controlled geometry', Acta Math., 1998 The latter paper introduced the concept of p-Poincar´einequality on a metric measure space, which has become the standard axiom for first-order analysis. f : X ! Y homeo between proper Q-regular mms satisfying Q-PI, Q > 1 0 metric QC HK=)98 QS f : X ! Y homeo between proper Q-regular mms 0 . geometric QC T(98 QS Motivation: quasiconformal mappings in metric spaces The theory of analysis in metric measure spaces originates in two papers of Juha Heinonen and Pekka Koskela: ‘Definitions of quasiconformality', Invent. Math., 1995 `QC maps in metric spaces of controlled geometry', Acta Math., 1998 The latter paper introduced the concept of p-Poincar´einequality on a metric measure space, which has become the standard axiom for first-order analysis. -
Graphs of Groups: Word Computations and Free Crossed Resolutions
Graphs of Groups: Word Computations and Free Crossed Resolutions Emma Jane Moore November 2000 Summary i Acknowledgements I would like to thank my supervisors, Prof. Ronnie Brown and Dr. Chris Wensley, for their support and guidance over the past three years. I am also grateful to Prof. Tim Porter for helpful discussions on category theory. Many thanks to my family and friends for their support and encouragement and to all the staff and students at the School of Mathematics with whom I had the pleasure of working. Finally thanks to EPSRC who paid my fees and supported me financially. ii Contents Introduction 1 1 Groupoids 4 1.1 Graphs, Categories, and Groupoids .................... 4 1.1.1 Graphs ................................ 5 1.1.2 Categories and Groupoids ..................... 6 1.2 Groups to Groupoids ............................ 12 1.2.1 Examples and Properties of Groupoids .............. 12 1.2.2 Free Groupoid and Words ..................... 15 1.2.3 Normal Subgroupoids and Quotient Groupoids .......... 17 1.2.4 Groupoid Cosets and Transversals ................. 18 1.2.5 Universal Groupoids ........................ 20 1.2.6 Groupoid Pushouts and Presentations .............. 24 2 Graphs of Groups and Normal Forms 29 2.1 Fundamental Groupoid of a Graph of Groups .............. 29 2.1.1 Graph of Groups .......................... 30 2.1.2 Fundamental Groupoid ....................... 31 2.1.3 Fundamental Group ........................ 34 2.1.4 Normal Form ............................ 35 2.1.5 Examples .............................. 41 2.1.6 Graph of Groupoids ........................ 47 2.2 Implementation ............................... 49 2.2.1 Normal Form and Knuth Bendix Methods ............ 50 iii 2.2.2 Implementation and GAP4 Output ................ 54 3 Total Groupoids and Total Spaces 61 3.1 Cylinders .................................