Complete Boolean Algebras Are Bousfield Lattices 3
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
On the Lattice Structure of Quantum Logic
BULL. AUSTRAL. MATH. SOC. MOS 8106, *8IOI, 0242 VOL. I (1969), 333-340 On the lattice structure of quantum logic P. D. Finch A weak logical structure is defined as a set of boolean propositional logics in which one can define common operations of negation and implication. The set union of the boolean components of a weak logical structure is a logic of propositions which is an orthocomplemented poset, where orthocomplementation is interpreted as negation and the partial order as implication. It is shown that if one can define on this logic an operation of logical conjunction which has certain plausible properties, then the logic has the structure of an orthomodular lattice. Conversely, if the logic is an orthomodular lattice then the conjunction operation may be defined on it. 1. Introduction The axiomatic development of non-relativistic quantum mechanics leads to a quantum logic which has the structure of an orthomodular poset. Such a structure can be derived from physical considerations in a number of ways, for example, as in Gunson [7], Mackey [77], Piron [72], Varadarajan [73] and Zierler [74]. Mackey [77] has given heuristic arguments indicating that this quantum logic is, in fact, not just a poset but a lattice and that, in particular, it is isomorphic to the lattice of closed subspaces of a separable infinite dimensional Hilbert space. If one assumes that the quantum logic does have the structure of a lattice, and not just that of a poset, it is not difficult to ascertain what sort of further assumptions lead to a "coordinatisation" of the logic as the lattice of closed subspaces of Hilbert space, details will be found in Jauch [8], Piron [72], Varadarajan [73] and Zierler [74], Received 13 May 1969. -
The Book of Involutions
The Book of Involutions Max-Albert Knus Alexander Sergejvich Merkurjev Herbert Markus Rost Jean-Pierre Tignol @ @ @ @ @ @ @ @ The Book of Involutions Max-Albert Knus Alexander Merkurjev Markus Rost Jean-Pierre Tignol Author address: Dept. Mathematik, ETH-Zentrum, CH-8092 Zurich,¨ Switzerland E-mail address: [email protected] URL: http://www.math.ethz.ch/~knus/ Dept. of Mathematics, University of California at Los Angeles, Los Angeles, California, 90095-1555, USA E-mail address: [email protected] URL: http://www.math.ucla.edu/~merkurev/ NWF I - Mathematik, Universitat¨ Regensburg, D-93040 Regens- burg, Germany E-mail address: [email protected] URL: http://www.physik.uni-regensburg.de/~rom03516/ Departement´ de mathematique,´ Universite´ catholique de Louvain, Chemin du Cyclotron 2, B-1348 Louvain-la-Neuve, Belgium E-mail address: [email protected] URL: http://www.math.ucl.ac.be/tignol/ Contents Pr´eface . ix Introduction . xi Conventions and Notations . xv Chapter I. Involutions and Hermitian Forms . 1 1. Central Simple Algebras . 3 x 1.A. Fundamental theorems . 3 1.B. One-sided ideals in central simple algebras . 5 1.C. Severi-Brauer varieties . 9 2. Involutions . 13 x 2.A. Involutions of the first kind . 13 2.B. Involutions of the second kind . 20 2.C. Examples . 23 2.D. Lie and Jordan structures . 27 3. Existence of Involutions . 31 x 3.A. Existence of involutions of the first kind . 32 3.B. Existence of involutions of the second kind . 36 4. Hermitian Forms . 41 x 4.A. Adjoint involutions . 42 4.B. Extension of involutions and transfer . -
Lattice-Ordered Loops and Quasigroupsl
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOIJRNALOFALGEBRA 16, 218-226(1970) Lattice-Ordered Loops and Quasigroupsl TREVOREVANS Matkentatics Department, Emory University, Atlanta, Georgia 30322 Communicated by R. H, Brwk Received April 16, 1969 In studying the effect of an order on non-associativesystems such as loops or quasigroups, a natural question to ask is whether some order condition which implies commutativity in the group case implies associativity in the corresponding loop case. For example, a well-known theorem (Birkhoff, [1]) concerning lattice ordered groups statesthat if the descendingchain condition holds for the positive elements,then the 1.0. group is actually a direct product of infinite cyclic groups with its partial order induced in the usual way by the linear order in the factors. It is easy to show (Zelinski, [6]) that a fully- ordered loop satisfying the descendingchain condition on positive elements is actually an infinite cyclic group. In this paper we generalize this result and Birkhoff’s result, by showing that any lattice-ordered loop with descending chain condition on its positive elements is associative. Hence, any 1.0. loop with d.c.c. on its positive elements is a free abelian group. More generally, any lattice-ordered quasigroup in which bounded chains are finite, is isotopic to a free abelian group. These results solve a problem in Birkhoff’s Lattice Theory, 3rd ed. The proof uses only elementary properties of loops and lattices. 1. LATTICE ORDERED LOOPS We will write loops additively with neutral element0. -
Noncommutative Unique Factorization Domainso
NONCOMMUTATIVE UNIQUE FACTORIZATION DOMAINSO BY P. M. COHN 1. Introduction. By a (commutative) unique factorization domain (UFD) one usually understands an integral domain R (with a unit-element) satisfying the following three conditions (cf. e.g. Zariski-Samuel [16]): Al. Every element of R which is neither zero nor a unit is a product of primes. A2. Any two prime factorizations of a given element have the same number of factors. A3. The primes occurring in any factorization of a are completely deter- mined by a, except for their order and for multiplication by units. If R* denotes the semigroup of nonzero elements of R and U is the group of units, then the classes of associated elements form a semigroup R* / U, and A1-3 are equivalent to B. The semigroup R*jU is free commutative. One may generalize the notion of UFD to noncommutative rings by taking either A-l3 or B as starting point. It is obvious how to do this in case B, although the class of rings obtained is rather narrow and does not even include all the commutative UFD's. This is indicated briefly in §7, where examples are also given of noncommutative rings satisfying the definition. However, our principal aim is to give a definition of a noncommutative UFD which includes the commutative case. Here it is better to start from A1-3; in order to find the precise form which such a definition should take we consider the simplest case, that of noncommutative principal ideal domains. For these rings one obtains a unique factorization theorem simply by reinterpreting the Jordan- Holder theorem for right .R-modules on one generator (cf. -
Introduction to Linear Logic
Introduction to Linear Logic Beniamino Accattoli INRIA and LIX (École Polytechnique) Accattoli ( INRIA and LIX (École Polytechnique)) Introduction to Linear Logic 1 / 49 Outline 1 Informal introduction 2 Classical Sequent Calculus 3 Sequent Calculus Presentations 4 Linear Logic 5 Catching non-linearity 6 Expressivity 7 Cut-Elimination 8 Proof-Nets Accattoli ( INRIA and LIX (École Polytechnique)) Introduction to Linear Logic 2 / 49 Outline 1 Informal introduction 2 Classical Sequent Calculus 3 Sequent Calculus Presentations 4 Linear Logic 5 Catching non-linearity 6 Expressivity 7 Cut-Elimination 8 Proof-Nets Accattoli ( INRIA and LIX (École Polytechnique)) Introduction to Linear Logic 3 / 49 Quotation From A taste of Linear Logic of Philip Wadler: Some of the best things in life are free; and some are not. Truth is free. You may use a proof of a theorem as many times as you wish. Food, on the other hand, has a cost. Having baked a cake, you may eat it only once. If traditional logic is about truth, then Linear Logic is about food Accattoli ( INRIA and LIX (École Polytechnique)) Introduction to Linear Logic 4 / 49 Informally 1 Classical logic deals with stable truths: if A and A B then B but A still holds) Example: 1 A = ’Tomorrow is the 1st october’. 2 B = ’John will go to the beach’. 3 A B = ’If tomorrow is the 1st october then John will go to the beach’. So if tomorrow) is the 1st october, then John will go to the beach, But of course tomorrow will still be the 1st october. Accattoli ( INRIA and LIX (École Polytechnique)) Introduction to Linear Logic 5 / 49 Informally 2 But with money, or food, that implication is wrong: 1 A = ’John has (only) 5 euros’. -
Arxiv:1809.02384V2 [Math.OA] 19 Feb 2019 H Ruet Eaefloigaecmlctd N Oi Sntcerin Clear Not Is T It Saying So Worth and Is Complicated, It Are Following Hand
INVOLUTIVE OPERATOR ALGEBRAS DAVID P. BLECHER AND ZHENHUA WANG Abstract. Examples of operator algebras with involution include the op- erator ∗-algebras occurring in noncommutative differential geometry studied recently by Mesland, Kaad, Lesch, and others, several classical function alge- bras, triangular matrix algebras, (complexifications) of real operator algebras, and an operator algebraic version of the complex symmetric operators stud- ied by Garcia, Putinar, Wogen, Zhu, and others. We investigate the general theory of involutive operator algebras, and give many applications, such as a characterization of the symmetric operator algebras introduced in the early days of operator space theory. 1. Introduction An operator algebra for us is a closed subalgebra of B(H), for a complex Hilbert space H. Here we study operator algebras with involution. Examples include the operator ∗-algebras occurring in noncommutative differential geometry studied re- cently by Mesland, Kaad, Lesch, and others (see e.g. [26, 25, 10] and references therein), (complexifications) of real operator algebras, and an operator algebraic version of the complex symmetric operators studied by Garcia, Putinar, Wogen, Zhu, and many others (see [21] for a survey, or e.g. [22]). By an operator ∗-algebra we mean an operator algebra with an involution † † N making it a ∗-algebra with k[aji]k = k[aij]k for [aij ] ∈ Mn(A) and n ∈ . Here we are using the matrix norms of operator space theory (see e.g. [30]). This notion was first introduced by Mesland in the setting of noncommutative differential geometry [26], who was soon joined by Kaad and Lesch [25]. In several recent papers by these authors and coauthors they exploit operator ∗-algebras and involutive modules in geometric situations. -
On Some Equational Classes of Distributive Double P-Algebras
iJEMONSTRATTO MATHEMATICA Vol IX No4 1976 Anna Romanowska ON SOME EQUATIONAL CLASSES OF DISTRIBUTIVE DOUBLE P-ALGEBRAS 1. Introduction Recently, T. Katrinak [5] showed that the two, three and four element chains are the only subdirect irreducible double Stone algebras and the lattice of equational subclasses of the equational class of all double Stone algebras forms a four element chain. R. Beazer [1] characterized the simple distri- butive double p-algebras. This paper is concerned with some other subdirectly irreducible distributive double p-algebras and with equational classes generated by these algebras. As corollary, the lattice of some equational classes of regular distributive double p-algebras is presented. 2. Preliminaries A universal algebra < L; V, A,*, 0, 1 > of type <2, 2, 1, 0, is called a p-algebra iff <L; V , A , 0, 1 > is a bounded lattice such that for every a £ L the element a*e I jL is the pseudocomplement of a, i.e. x ^ a iff a A x = 0. A universal algebra <L; V,A,*, +, 0, 1> is called a dp-al- gebra (double p-algebra) iff V, A,*, 0, 1 > is a p-alge- bra ana <Cl; V, A, 0, 1 > is a dual p-algebra (x > a+iff x V a = 1). A distributive dp-algebra is called a ddp-algebra. A distributive p-algebra (dual p-algebra) is called a Fn~algebra (F^-algebra) iff L satisfies the identity (xyV.. .AxQ)*V (X*AX2A. .AXq)*V. .. V(x1 A ... Ax*)* = 1 (P*) + + ((x1V.. .Vxk) A(x^Vx2V. ..Vxk) A. ..A(x1 V.. -
The Structure of Residuated Lattices
The Structure of Residuated Lattices Kevin Blount and Constantine Tsinakis May 23, 2002 Abstract A residuated lattice is an ordered algebraic structure L = hL, ∧, ∨, · , e, \ , / i such that hL, ∧, ∨i is a lattice, hL, ·, ei is a monoid, and \ and / are binary operations for which the equivalences a · b ≤ c ⇐⇒ a ≤ c/b ⇐⇒ b ≤ a\c hold for all a, b, c ∈ L. It is helpful to think of the last two operations as left and right division and thus the equivalences can be seen as “di- viding” on the right by b and “dividing” on the left by a. The class of all residuated lattices is denoted by RL. The study of such objects originated in the context of the theory of ring ideals in the 1930’s. The collection of all two-sided ideals of a ring forms a lattice upon which one can impose a natural monoid structure making this object into a residuated lattice. Such ideas were investi- gated by Morgan Ward and R. P. Dilworth in a series of important papers [15], [16],[45], [46], [47] and [48] and also by Krull in [33]. Since that time, there has been substantial research regarding some specific classes of residuated structures, see for example [1], [9], [26] and [38], but we believe that this is the first time that a general structural the- ory has been established for the class RL as a whole. In particular, we develop the notion of a normal subalgebra and show that RL is an “ideal variety” in the sense that it is an equational class in which con- gruences correspond to “normal” subalgebras in the same way that ring congruences correspond to ring ideals. -
Implicative Algebras: a New Foundation for Realizability and Forcing
Under consideration for publication in Math. Struct. in Comp. Science Implicative algebras: a new foundation for realizability and forcing Alexandre MIQUEL1 1 Instituto de Matem´atica y Estad´ıstica Prof. Ing. Rafael Laguardia Facultad de Ingenier´ıa{ Universidad de la Rep´ublica Julio Herrera y Reissig 565 { Montevideo C.P. 11300 { URUGUAY Received 1 February 2018 We introduce the notion of implicative algebra, a simple algebraic structure intended to factorize the model constructions underlying forcing and realizability (both in intuitionistic and classical logic). The salient feature of this structure is that its elements can be seen both as truth values and as (generalized) realizers, thus blurring the frontier between proofs and types. We show that each implicative algebra induces a (Set-based) tripos, using a construction that is reminiscent from the construction of a realizability tripos from a partial combinatory algebra. Relating this construction with the corresponding constructions in forcing and realizability, we conclude that the class of implicative triposes encompass all forcing triposes (both intuitionistic and classical), all classical realizability triposes (in the sense of Krivine) and all intuitionistic realizability triposes built from total combinatory algebras. 1. Introduction 2. Implicative structures 2.1. Definition Definition 2.1 (Implicative structure). An implicative structure is a complete meet- semilattice (A ; 4) equipped with a binary operation (a; b) 7! (a ! b), called the impli- cation of A , that fulfills the following two axioms: (1) Implication is anti-monotonic w.r.t. its first operand and monotonic w.r.t. its second operand: 0 0 0 0 0 0 if a 4 a and b 4 b ; then (a ! b) 4 (a ! b )(a; a ; b; b 2 A ) (2) Implication commutes with arbitrary meets on its second operand: a ! kb = k(a ! b)(a 2 A ;B ⊆ A ) b2B b2B Remarks 2.2. -
Thermodynamic Properties of Coupled Map Lattices 1 Introduction
Thermodynamic properties of coupled map lattices J´erˆome Losson and Michael C. Mackey Abstract This chapter presents an overview of the literature which deals with appli- cations of models framed as coupled map lattices (CML’s), and some recent results on the spectral properties of the transfer operators induced by various deterministic and stochastic CML’s. These operators (one of which is the well- known Perron-Frobenius operator) govern the temporal evolution of ensemble statistics. As such, they lie at the heart of any thermodynamic description of CML’s, and they provide some interesting insight into the origins of nontrivial collective behavior in these models. 1 Introduction This chapter describes the statistical properties of networks of chaotic, interacting el- ements, whose evolution in time is discrete. Such systems can be profitably modeled by networks of coupled iterative maps, usually referred to as coupled map lattices (CML’s for short). The description of CML’s has been the subject of intense scrutiny in the past decade, and most (though by no means all) investigations have been pri- marily numerical rather than analytical. Investigators have often been concerned with the statistical properties of CML’s, because a deterministic description of the motion of all the individual elements of the lattice is either out of reach or uninteresting, un- less the behavior can somehow be described with a few degrees of freedom. However there is still no consistent framework, analogous to equilibrium statistical mechanics, within which one can describe the probabilistic properties of CML’s possessing a large but finite number of elements. -
On Generalized Topological Molecular Lattices 1. Introduction And
Sahand Communications in Mathematical Analysis (SCMA) Vol. 10 No. 1 (2018), 1-15 http://scma.maragheh.ac.ir DOI: 10.22130/scma.2017.27148 On generalized topological molecular lattices Narges Nazari1 and Ghasem Mirhosseinkhani2∗ Abstract. In this paper, we introduce the concept of the gener- alized topological molecular lattices as a generalization of Wang's topological molecular lattices, topological spaces, fuzzy topologi- cal spaces, L-fuzzy topological spaces and soft topological spaces. Topological molecular lattices were defined by closed elements, but in this new structure we present the concept of the open elements and define a closed element by the pseudocomplement of an open element. We have two structures on a completely distributive com- plete lattice, topology and generalized co-topology which are not dual to each other. We study the basic concepts, in particular sep- aration axioms and some relations among them. 1. Introduction and preliminaries Since the set of open sets of a topological space is a frame, many important properties to topological spaces may be expressed without referring to the points. The first person who exploit possibility of ap- plying the lattice theory to the topology was Henry Wallman. He used the lattice-theoretic ideas to construct what is now called the \Wallman compactification” of a T1-topological space. This idea was pursued by Mckinsey, Tarski, N¨obeling, Lesier, Ehresmann, B´enabou, etc. How- ever, the importance of attention to open sets as a lattice appeared as late as 1962 in [3, 9]. After that, many authors became interested and developed the field. The pioneering paper [6] by Isbell merits particu- lar mention for opening several important topics. -
Dualities for Some De Morgan Algebras with Operators and Lukasiewicz Algebras
/. Austral. Math. Soc. (Series A) 34 (1983), 377-393 DUALITIES FOR SOME DE MORGAN ALGEBRAS WITH OPERATORS AND LUKASIEWICZ ALGEBRAS ROBERTO CIGNOLI and MARTA S. DE GALLEGO (Received 3 September 1981, Revised 22 June 1982) Communicated by J. B. Miller Abstract Algebras (A, V, A, ~ , Y,0,1) of type (2,2,1,1,0,0) such that (A, V, A, ~ ,0,1) is a De Morgan algebra and y is a lattice homomorphism from A into its center that satisfies one of the conditions (i) a « ya or (ii) a < ~ a V ya are considered. The dual categories and the lattice of their subvarieties are determined, and applications to Lukasiewicz algebras are given. 1980 Mathematics subject classification (Amer. Math. Soc): 06 D 30, 03 G 20, 03 G 25, 08 B 15. Introduction Throughout this paper, A will denote the class of De Morgan algebras and 6E the category of De Morgan algebras and homomorphisms. The class of Kleene algebras (that is De Morgan algebras which satisfy the equation (aA~a)V(6 V~fe) = feV~£>) will be denoted by K, and the corresponding category by %. For each A in A, B(A) will denote the center of A, that is the subalgebra of all complemented elements of A, and K(A) the subalgebra of B(A) formed by the elements a such that the De Morgan negation ~ a coincides with the complement of a (see Cignoli and de Gallego (1981)). Let A e A. For each a G A, define Ka - {k G K(A): a < k) and Ha - {k G K(A): a =£~ a V k}.