8. Distributive Lattices Every Dog Must Have His Day. in This Chapter and The
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Advanced Discrete Mathematics Mm-504 &
1 ADVANCED DISCRETE MATHEMATICS M.A./M.Sc. Mathematics (Final) MM-504 & 505 (Option-P3) Directorate of Distance Education Maharshi Dayanand University ROHTAK – 124 001 2 Copyright © 2004, Maharshi Dayanand University, ROHTAK All Rights Reserved. No part of this publication may be reproduced or stored in a retrieval system or transmitted in any form or by any means; electronic, mechanical, photocopying, recording or otherwise, without the written permission of the copyright holder. Maharshi Dayanand University ROHTAK – 124 001 Developed & Produced by EXCEL BOOKS PVT. LTD., A-45 Naraina, Phase 1, New Delhi-110 028 3 Contents UNIT 1: Logic, Semigroups & Monoids and Lattices 5 Part A: Logic Part B: Semigroups & Monoids Part C: Lattices UNIT 2: Boolean Algebra 84 UNIT 3: Graph Theory 119 UNIT 4: Computability Theory 202 UNIT 5: Languages and Grammars 231 4 M.A./M.Sc. Mathematics (Final) ADVANCED DISCRETE MATHEMATICS MM- 504 & 505 (P3) Max. Marks : 100 Time : 3 Hours Note: Question paper will consist of three sections. Section I consisting of one question with ten parts covering whole of the syllabus of 2 marks each shall be compulsory. From Section II, 10 questions to be set selecting two questions from each unit. The candidate will be required to attempt any seven questions each of five marks. Section III, five questions to be set, one from each unit. The candidate will be required to attempt any three questions each of fifteen marks. Unit I Formal Logic: Statement, Symbolic representation, totologies, quantifiers, pradicates and validity, propositional logic. Semigroups and Monoids: Definitions and examples of semigroups and monoids (including those pertaining to concentration operations). -
Cayley's and Holland's Theorems for Idempotent Semirings and Their
Cayley's and Holland's Theorems for Idempotent Semirings and Their Applications to Residuated Lattices Nikolaos Galatos Department of Mathematics University of Denver [email protected] Rostislav Horˇc´ık Institute of Computer Sciences Academy of Sciences of the Czech Republic [email protected] Abstract We extend Cayley's and Holland's representation theorems to idempotent semirings and residuated lattices, and provide both functional and relational versions. Our analysis allows for extensions of the results to situations where conditions are imposed on the order relation of the representing structures. Moreover, we give a new proof of the finite embeddability property for the variety of integral residuated lattices and many of its subvarieties. 1 Introduction Cayley's theorem states that every group can be embedded in the (symmetric) group of permutations on a set. Likewise, every monoid can be embedded into the (transformation) monoid of self-maps on a set. C. Holland [10] showed that every lattice-ordered group can be embedded into the lattice-ordered group of order-preserving permutations on a totally-ordered set. Recall that a lattice-ordered group (`-group) is a structure G = hG; _; ^; ·;−1 ; 1i, where hG; ·;−1 ; 1i is group and hG; _; ^i is a lattice, such that multiplication preserves the order (equivalently, it distributes over joins and/or meets). An analogous representation was proved also for distributive lattice-ordered monoids in [2, 11]. We will prove similar theorems for resid- uated lattices and idempotent semirings in Sections 2 and 3. Section 4 focuses on the finite embeddability property (FEP) for various classes of idempotent semirings and residuated lat- tices. -
Chain Based Lattices
Pacific Journal of Mathematics CHAIN BASED LATTICES GEORGE EPSTEIN AND ALFRED HORN Vol. 55, No. 1 September 1974 PACIFIC JOURNAL OF MATHEMATICS Vol. 55, No. 1, 1974 CHAIN BASED LATTICES G. EPSTEIN AND A. HORN In recent years several weakenings of Post algebras have been studied. Among these have been P0"lattices by T. Traezyk, Stone lattice of order n by T. Katrinak and A. Mitschke, and P-algebras by the present authors. Each of these system is an abstraction from certain aspects of Post algebras, and no two of them are comparable. In the present paper, the theory of P0-lattices will be developed further and two new systems, called Pi-lattices and P2-lattices are introduced. These systems are referred to as chain based lattices. P2-lattices form the intersection of all three weakenings mentioned above. While P-algebras and weaker systems such as L-algebras, Heyting algebras, and P-algebras, do not require any distinguished chain of elements other than 0, 1, chain based lattices require such a chain. Definitions are given in § 1. A P0-lattice is a bounded distributive lattice A which is generated by its center and a finite subchain con- taining 0 and 1. Such a subchain is called a chain base for A. The order of a P0-lattice A is the smallest number of elements in a chain base of A. In § 2, properties of P0-lattices are given which are used in later sections. If a P0-lattice A is a Heyting algebra, then it is shown in § 3, that there exists a unique chain base 0 = e0 < ex < < en_x — 1 such that ei+ί —* et = et for all i > 0. -
LATTICE THEORY of CONSENSUS (AGGREGATION) an Overview
Workshop Judgement Aggregation and Voting September 9-11, 2011, Freudenstadt-Lauterbad 1 LATTICE THEORY of CONSENSUS (AGGREGATION) An overview Bernard Monjardet CES, Université Paris I Panthéon Sorbonne & CAMS, EHESS Workshop Judgement Aggregation and Voting September 9-11, 2011, Freudenstadt-Lauterbad 2 First a little precision In their kind invitation letter, Klaus and Clemens wrote "Like others in the judgment aggregation community, we are aware of the existence of a sizeable amount of work of you and other – mainly French – authors on generalized aggregation models". Indeed, there is a sizeable amount of work and I will only present some main directions and some main results. Now here a list of the main contributors: Workshop Judgement Aggregation and Voting September 9-11, 2011, Freudenstadt-Lauterbad 3 Bandelt H.J. Germany Barbut, M. France Barthélemy, J.P. France Crown, G.D., USA Day W.H.E. Canada Janowitz, M.F. USA Mulder H.M. Germany Powers, R.C. USA Leclerc, B. France Monjardet, B. France McMorris F.R. USA Neumann, D.A. USA Norton Jr. V.T USA Powers, R.C. USA Roberts F.S. USA Workshop Judgement Aggregation and Voting September 9-11, 2011, Freudenstadt-Lauterbad 4 LATTICE THEORY of CONSENSUS (AGGREGATION) : An overview OUTLINE ABSTRACT AGGREGATION THEORIES: WHY? HOW The LATTICE APPROACH LATTICES: SOME RECALLS The CONSTRUCTIVE METHOD The federation consensus rules The AXIOMATIC METHOD Arrowian results The OPTIMISATION METHOD Lattice metric rules and the median procedure The "good" lattice structures for medians: Distributive lattices Median semilattice Workshop Judgement Aggregation and Voting September 9-11, 2011, Freudenstadt-Lauterbad 5 ABSTRACT CONSENSUS THEORIES: WHY? "since Arrow’s 1951 theorem, there has been a flurry of activity designed to prove analogues of this theorem in other contexts, and to establish contexts in which the rather dismaying consequences of this theorem are not necessarily valid. -
Problems and Comments on Boolean Algebras Rosen, Fifth Edition: Chapter 10; Sixth Edition: Chapter 11 Boolean Functions
Problems and Comments on Boolean Algebras Rosen, Fifth Edition: Chapter 10; Sixth Edition: Chapter 11 Boolean Functions Section 10. 1, Problems: 1, 2, 3, 4, 10, 11, 29, 36, 37 (fifth edition); Section 11.1, Problems: 1, 2, 5, 6, 12, 13, 31, 40, 41 (sixth edition) The notation ""forOR is bad and misleading. Just think that in the context of boolean functions, the author uses instead of ∨.The integers modulo 2, that is ℤ2 0,1, have an addition where 1 1 0 while 1 ∨ 1 1. AsetA is partially ordered by a binary relation ≤, if this relation is reflexive, that is a ≤ a holds for every element a ∈ S,it is transitive, that is if a ≤ b and b ≤ c hold for elements a,b,c ∈ S, then one also has that a ≤ c, and ≤ is anti-symmetric, that is a ≤ b and b ≤ a can hold for elements a,b ∈ S only if a b. The subsets of any set S are partially ordered by set inclusion. that is the power set PS,⊆ is a partially ordered set. A partial ordering on S is a total ordering if for any two elements a,b of S one has that a ≤ b or b ≤ a. The natural numbers ℕ,≤ with their ordinary ordering are totally ordered. A bounded lattice L is a partially ordered set where every finite subset has a least upper bound and a greatest lower bound.The least upper bound of the empty subset is defined as 0, it is the smallest element of L. -
ON DISCRETE IDEMPOTENT PATHS Luigi Santocanale
ON DISCRETE IDEMPOTENT PATHS Luigi Santocanale To cite this version: Luigi Santocanale. ON DISCRETE IDEMPOTENT PATHS. Words 2019, Sep 2019, Loughborough, United Kingdom. pp.312–325, 10.1007/978-3-030-28796-2_25. hal-02153821 HAL Id: hal-02153821 https://hal.archives-ouvertes.fr/hal-02153821 Submitted on 12 Jun 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ON DISCRETE IDEMPOTENT PATHS LUIGI SANTOCANALE Laboratoire d’Informatique et des Syst`emes, UMR 7020, Aix-Marseille Universit´e, CNRS Abstract. The set of discrete lattice paths from (0, 0) to (n, n) with North and East steps (i.e. words w x, y such that w x = w y = n) has a canonical monoid structure inher- ∈ { }∗ | | | | ited from the bijection with the set of join-continuous maps from the chain 0, 1,..., n to { } itself. We explicitly describe this monoid structure and, relying on a general characteriza- tion of idempotent join-continuous maps from a complete lattice to itself, we characterize idempotent paths as upper zigzag paths. We argue that these paths are counted by the odd Fibonacci numbers. Our method yields a geometric/combinatorial proof of counting results, due to Howie and to Laradji and Umar, for idempotents in monoids of monotone endomaps on finite chains. -
2-Semilattices: Residual Properties and Applications to the Constraint Satisfaction Problem
2-Semilattices: Residual Properties and Applications to the Constraint Satisfaction Problem by Ian Payne A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Pure Mathematics Waterloo, Ontario, Canada, 2017 c Ian Payne 2017 Examining Committee Membership The following served on the Examining Committee for this thesis. The decision of the Examining Committee is by majority vote. External Examiner George McNulty Professor University of South Carolina Supervisor Ross Willard Professor University of Waterloo Internal Member Stanley Burris Distinguished Professor Emeritus Adjunct Professor University of Waterloo Internal Member Rahim Moosa Professor University of Waterloo Internal-external Member Chris Godsil Professor University of Waterloo ii I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. iii Abstract Semilattices are algebras known to have an important connection to partially ordered sets. In particular, if a partially ordered set (A; ≤) has greatest lower bounds, a semilattice (A; ^) can be associated to the order where a ^ b is the greatest lower bound of a and b. In this thesis, we study a class of algebras known as 2-semilattices, which is a generalization of the class of semilattices. Similar to the correspondence between partial orders and semilattices, there is a correspondence between certain digraphs and 2-semilattices. That is, to every 2-semilattice, there is an associated digraph which holds information about the 2-semilattice. -
An Efficient Algorithm for Fully Robust Stable Matchings Via Join
An Efficient Algorithm for Fully Robust Stable Matchings via Join Semi-Sublattices Tung Mai∗1 and Vijay V. Vazirani2 1Adobe Research 2University of California, Irvine Abstract We are given a stable matching instance A and a set S of errors that can be introduced into A. Each error consists of applying a specific permutation to the preference list of a chosen boy or a chosen girl. Assume that A is being transmitted over a channel which introduces one error from set S; as a result, the channel outputs this new instance. We wish to find a matching that is stable for A and for each of the jSj possible new instances. If S is picked from a special class of errors, we give an O(jSjp(n)) time algorithm for this problem. We call the obtained matching a fully robust stable matching w.r.t. S. In particular, if S is polynomial sized, then our algorithm runs in polynomial time. Our algorithm is based on new, non-trivial structural properties of the lattice of stable matchings; these properties pertain to certain join semi-sublattices of the lattice. Birkhoff’s Representation Theorem for finite distributive lattices plays a special role in our algorithms. 1 Introduction The two topics, of stable matching and the design of algorithms that produce solutions that are robust to errors, have been studied extensively for decades and there are today several books on each of them, e.g., see [Knu97, GI89, Man13] and [CE06, BTEGN09]. Yet, there is a paucity of results at the intersection of these two topics. -
Lattices: an Introduction
Lattices: An Introduction Felix Gotti [email protected] UC Berkeley Student Combinatorics Seminar Felix Gotti [email protected] Lattices: An Introduction Outline General Lattices Modular Lattices Distributive Lattices Felix Gotti [email protected] Lattices: An Introduction Joins and Meets Definition (Joins and Meets) Let P be a poset. I If S ⊆ P a join (or supremum) of S, denoted by _ s; s2S is an element of u 2 P that is an upper bound of S satisfying that if u0 is any other upper bound of S, then u ≤ u0. I The definition of a meet (or infimum) of S ⊆ P, denoted by ^ s; s2S is dual to the definition of join. Remark: Note that if a join (resp., meet) exists then it is unique. Felix Gotti [email protected] Lattices: An Introduction Definition of Lattice Definition I A join-semilattice (resp., meet-semilattice) is a poset such that any pair of elements have a join (resp., meet). I A lattice is a poset that is both a join-semilattice and a meet-semilattice. I If L is a lattice and S ⊂ L such that r _ s; r ^ s 2 S for all r; s 2 S, we say that S is a sublattice of L. Example of lattices: I Every totally ordered set is a lattice. ∗ I If L and M are lattices, so are L ; L ⊕ M, and L × M. While L + M is not a lattice, at least L or M is empty, (L + M) [ f0^; 1^g is always a lattice. I The lattices L and M are sublattices of L ⊕ M and (L + M) [ f0^; 1^g. -
DISTRIBUTIVE LATTICES FACT 1: for Any Lattice <A,≤>: 1 and 2 and 3 and 4 Hold in <A,≤>: the Distributive Inequal
DISTRIBUTIVE LATTICES FACT 1: For any lattice <A,≤>: 1 and 2 and 3 and 4 hold in <A,≤>: The distributive inequalities: 1. for every a,b,c ∈ A: (a ∧ b) ∨ (a ∧ c) ≤ a ∧ (b ∨ c) 2. for every a,b,c ∈ A: a ∨ (b ∧ c) ≤ (a ∨ b) ∧ (a ∨ c) 3. for every a,b,c ∈ A: (a ∧ b) ∨ (b ∧ c) ∨ (a ∧ c) ≤ (a ∨ b) ∧ (b ∨ c) ∧ (a ∨ c) The modular inequality: 4. for every a,b,c ∈ A: (a ∧ b) ∨ (a ∧ c) ≤ a ∧ (b ∨ (a ∧ c)) FACT 2: For any lattice <A,≤>: 5 holds in <A,≤> iff 6 holds in <A,≤> iff 7 holds in <A,≤>: 5. for every a,b,c ∈ A: a ∧ (b ∨ c) = (a ∧ b) ∨ (a ∧ c) 6. for every a,b,c ∈ A: a ∨ (b ∧ c) = (a ∨ b) ∧ (a ∨ c) 7. for every a,b,c ∈ A: a ∨ (b ∧ c) ≤ b ∧ (a ∨ c). A lattice <A,≤> is distributive iff 5. holds. FACT 3: For any lattice <A,≤>: 8 holds in <A,≤> iff 9 holds in <A,≤>: 8. for every a,b,c ∈ A:(a ∧ b) ∨ (a ∧ c) = a ∧ (b ∨ (a ∧ c)) 9. for every a,b,c ∈ A: if a ≤ b then a ∨ (b ∧ c) = b ∧ (a ∨ c) A lattice <A,≤> is modular iff 8. holds. FACT 4: Every distributive lattice is modular. Namely, let <A,≤> be distributive and let a,b,c ∈ A and let a ≤ b. a ∨ (b ∧ c) = (a ∨ b) ∧ (a ∨ c) [by distributivity] = b ∧ (a ∨ c) [since a ∨ b =b]. The pentagon: The diamond: o 1 o 1 o z o y x o o y o z o x o 0 o 0 THEOREM 5: A lattice is modular iff the pentagon cannot be embedded in it. -
Algebraic Lattices in QFT Renormalization
Algebraic lattices in QFT renormalization Michael Borinsky∗ Institute of Physics, Humboldt University Newton Str. 15, D-12489 Berlin, Germany Abstract The structure of overlapping subdivergences, which appear in the perturbative expan- sions of quantum field theory, is analyzed using algebraic lattice theory. It is shown that for specific QFTs the sets of subdivergences of Feynman diagrams form algebraic lattices. This class of QFTs includes the Standard model. In kinematic renormalization schemes, in which tadpole diagrams vanish, these lattices are semimodular. This implies that the Hopf algebra of Feynman diagrams is graded by the coradical degree or equivalently that every maximal forest has the same length in the scope of BPHZ renormalization. As an application of this framework a formula for the counter terms in zero-dimensional QFT is given together with some examples of the enumeration of primitive or skeleton diagrams. Keywords. quantum field theory, renormalization, Hopf algebra of Feynman diagrams, algebraic lattices, zero-dimensional QFT MSC. 81T18, 81T15, 81T16, 06B99 1 Introduction Calculations of observable quantities in quantum field theory rely almost always on perturbation theory. The integrals in the perturbation expansions can be depicted as Feynman diagrams. Usually these integrals require renormalization to give meaningful results. The renormalization procedure can be performed using the Hopf algebra of Feynman graphs [10], which organizes the classic BPHZ procedure into an algebraic framework. The motivation for this paper was to obtain insights on the coradical filtration of this Hopf algebra and thereby on the structure of the subdivergences of the Feynman diagrams in the perturbation expansion. The perturbative expansions in QFT are divergent series themselves as first pointed out by [12]. -
Order Dimension, Strong Bruhat Order and Lattice Properties for Posets
Order Dimension, Strong Bruhat Order and Lattice Properties for Posets Nathan Reading School of Mathematics, University of Minnesota Minneapolis, MN 55455 [email protected] Abstract. We determine the order dimension of the strong Bruhat order on ¯nite Coxeter groups of types A, B and H. The order dimension is determined using a generalization of a theorem of Dilworth: dim(P ) = width(Irr(P )), whenever P satis¯es a simple order-theoretic condition called here the dissec- tive property (or \clivage" in [16, 21]). The result for dissective posets follows from an upper bound and lower bound on the dimension of any ¯nite poset. The dissective property is related, via MacNeille completion, to the distributive property of lattices. We show a similar connection between quotients of the strong Bruhat order with respect to parabolic subgroups and lattice quotients. 1. Introduction We give here three short summaries of the main results of this paper, from three points of view. We conclude the introduction by outlining the organization of the paper. Strong Bruhat Order. From the point of view of strong Bruhat order, the ¯rst main result of this paper is the following: Theorem 1. The order dimension of the Coxeter group An under the strong Bruhat order is: (n + 1)2 dim(A ) = n ¹ 4 º (n+1)2 The upper bound dim(An) · 4 appeared as an exercise in [3], but the proof given here does not rely on the previous bound. In [27], the same methods are used to prove the following theorem. The result for type I (dihedral groups) is trivial.