Compact Covering and Game Determinacy
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COMPSCI 501: Formal Language Theory Insights on Computability Turing Machines Are a Model of Computation Two (No Longer) Surpris
Insights on Computability Turing machines are a model of computation COMPSCI 501: Formal Language Theory Lecture 11: Turing Machines Two (no longer) surprising facts: Marius Minea Although simple, can describe everything [email protected] a (real) computer can do. University of Massachusetts Amherst Although computers are powerful, not everything is computable! Plus: “play” / program with Turing machines! 13 February 2019 Why should we formally define computation? Must indeed an algorithm exist? Back to 1900: David Hilbert’s 23 open problems Increasingly a realization that sometimes this may not be the case. Tenth problem: “Occasionally it happens that we seek the solution under insufficient Given a Diophantine equation with any number of un- hypotheses or in an incorrect sense, and for this reason do not succeed. known quantities and with rational integral numerical The problem then arises: to show the impossibility of the solution under coefficients: To devise a process according to which the given hypotheses or in the sense contemplated.” it can be determined in a finite number of operations Hilbert, 1900 whether the equation is solvable in rational integers. This asks, in effect, for an algorithm. Hilbert’s Entscheidungsproblem (1928): Is there an algorithm that And “to devise” suggests there should be one. decides whether a statement in first-order logic is valid? Church and Turing A Turing machine, informally Church and Turing both showed in 1936 that a solution to the Entscheidungsproblem is impossible for the theory of arithmetic. control To make and prove such a statement, one needs to define computability. In a recent paper Alonzo Church has introduced an idea of “effective calculability”, read/write head which is equivalent to my “computability”, but is very differently defined. -
MS Word Template for CAD Conference Papers
382 Title: Regularized Set Operations in Solid Modeling Revisited Authors: K. M. Yu, [email protected], The Hong Kong Polytechnic University K. M. Lee, [email protected], The Hong Kong Polytechnic University K. M. Au, [email protected], HKU SPACE Community College Keywords: Regularised Set Operations, CSG, Solid Modeling, Manufacturing, General Topology DOI: 10.14733/cadconfP.2019.382-386 Introduction: The seminal works of Tilove and Requicha [8],[13],[14] first introduced the use of general topology concepts in solid modeling. However, their works are brute-force approach from mathematicians’ perspective and are not easy to be comprehended by engineering trained personnels. This paper reviewed the point set topological approach using operational formulation. Essential topological concepts are described and visualized in easy to understand directed graphs. These facilitate subtle differentiation of key concepts to be recognized. In particular, some results are restated in a more mathematically correct version. Examples to use the prefix unary operators are demonstrated in solid modeling properties derivations and proofs as well as engineering applications. Main Idea: This paper is motivated by confusion in the use of mathematical terms like boundedness, boundary, interior, open set, exterior, complement, closed set, closure, regular set, etc. Hasse diagrams are drawn by mathematicians to study different topologies. Instead, directed graph using elementary operators of closure and complement are drawn to show their inter-relationship in the Euclidean three- dimensional space (E^3 is a special metric space formed from Cartesian product R^3 with Euclid’s postulates [11] and inheriting all general topology properties.) In mathematics, regular, regular open and regular closed are similar but different concepts. -
Axiomatic Set Teory P.D.Welch
Axiomatic Set Teory P.D.Welch. August 16, 2020 Contents Page 1 Axioms and Formal Systems 1 1.1 Introduction 1 1.2 Preliminaries: axioms and formal systems. 3 1.2.1 The formal language of ZF set theory; terms 4 1.2.2 The Zermelo-Fraenkel Axioms 7 1.3 Transfinite Recursion 9 1.4 Relativisation of terms and formulae 11 2 Initial segments of the Universe 17 2.1 Singular ordinals: cofinality 17 2.1.1 Cofinality 17 2.1.2 Normal Functions and closed and unbounded classes 19 2.1.3 Stationary Sets 22 2.2 Some further cardinal arithmetic 24 2.3 Transitive Models 25 2.4 The H sets 27 2.4.1 H - the hereditarily finite sets 28 2.4.2 H - the hereditarily countable sets 29 2.5 The Montague-Levy Reflection theorem 30 2.5.1 Absoluteness 30 2.5.2 Reflection Theorems 32 2.6 Inaccessible Cardinals 34 2.6.1 Inaccessible cardinals 35 2.6.2 A menagerie of other large cardinals 36 3 Formalising semantics within ZF 39 3.1 Definite terms and formulae 39 3.1.1 The non-finite axiomatisability of ZF 44 3.2 Formalising syntax 45 3.3 Formalising the satisfaction relation 46 3.4 Formalising definability: the function Def. 47 3.5 More on correctness and consistency 48 ii iii 3.5.1 Incompleteness and Consistency Arguments 50 4 The Constructible Hierarchy 53 4.1 The L -hierarchy 53 4.2 The Axiom of Choice in L 56 4.3 The Axiom of Constructibility 57 4.4 The Generalised Continuum Hypothesis in L. -
Algorithms, Turing Machines and Algorithmic Undecidability
U.U.D.M. Project Report 2021:7 Algorithms, Turing machines and algorithmic undecidability Agnes Davidsdottir Examensarbete i matematik, 15 hp Handledare: Vera Koponen Examinator: Martin Herschend April 2021 Department of Mathematics Uppsala University Contents 1 Introduction 1 1.1 Algorithms . .1 1.2 Formalisation of the concept of algorithms . .1 2 Turing machines 3 2.1 Coding of machines . .4 2.2 Unbounded and bounded machines . .6 2.3 Binary sequences representing real numbers . .6 2.4 Examples of Turing machines . .7 3 Undecidability 9 i 1 Introduction This paper is about Alan Turing's paper On Computable Numbers, with an Application to the Entscheidungsproblem, which was published in 1936. In his paper, he introduced what later has been called Turing machines as well as a few examples of undecidable problems. A few of these will be brought up here along with Turing's arguments in the proofs but using a more modern terminology. To begin with, there will be some background on the history of why this breakthrough happened at that given time. 1.1 Algorithms The concept of an algorithm has always existed within the world of mathematics. It refers to a process meant to solve a problem in a certain number of steps. It is often repetitive, with only a few rules to follow. In more recent years, the term also has been used to refer to the rules a computer follows to operate in a certain way. Thereby, an algorithm can be used in a plethora of circumstances. The word might describe anything from the process of solving a Rubik's cube to how search engines like Google work [4]. -
A Concise Form of Continuity in Fine Topological Space
Advances in Computational Sciences and Technology (ACST). ISSN 0973-6107 Volume 10, Number 6 (2017), pp. 1785–1805 © Research India Publications http://www.ripublication.com/acst.htm A Concise form of Continuity in Fine Topological Space P.L. Powar and Pratibha Dubey Department of Mathematics and Computer Science, R.D.V.V., Jabalpur, India. Abstract By using the topology on a space X, a wide class of sets called fine open sets have been studied earlier. In the present paper, it has been noticed and verified that the class of fine open sets contains the entire class of A-sets, AC-sets and αAB-sets, which are already defined. Further, this observation leads to define a more general continuous function which in tern reduces to the four continuous functions namely A-continuity, AB-continuity, AC-continuity and αAB-continuity as special cases. AMS subject classification: primary54XX; secondry 54CXX. Keywords: fine αAB-sets, fine A-sets, fine topology. 1. Introduction The concept of fine space has been introduced by Powar and Rajak in [1] is the special case of generalized topological space (see[2]). The major difference between the two spaces is that the open sets in the fine space are not the random collection of subsets of X satisfying certain conditions but the open sets (known as fine sets) have been generated with the help of topology already defined over X. It has been studied in [1] that this collection of fine open sets is really a magical class of subsets of X containing semi-open sets, pre-open sets, α-open sets, β-open sets etc. -
Undecidable Problems: a Sampler (.Pdf)
UNDECIDABLE PROBLEMS: A SAMPLER BJORN POONEN Abstract. After discussing two senses in which the notion of undecidability is used, we present a survey of undecidable decision problems arising in various branches of mathemat- ics. 1. Introduction The goal of this survey article is to demonstrate that undecidable decision problems arise naturally in many branches of mathematics. The criterion for selection of a problem in this survey is simply that the author finds it entertaining! We do not pretend that our list of undecidable problems is complete in any sense. And some of the problems we consider turn out to be decidable or to have unknown decidability status. For another survey of undecidable problems, see [Dav77]. 2. Two notions of undecidability There are two common settings in which one speaks of undecidability: 1. Independence from axioms: A single statement is called undecidable if neither it nor its negation can be deduced using the rules of logic from the set of axioms being used. (Example: The continuum hypothesis, that there is no cardinal number @0 strictly between @0 and 2 , is undecidable in the ZFC axiom system, assuming that ZFC itself is consistent [G¨od40,Coh63, Coh64].) The first examples of statements independent of a \natural" axiom system were constructed by K. G¨odel[G¨od31]. 2. Decision problem: A family of problems with YES/NO answers is called unde- cidable if there is no algorithm that terminates with the correct answer for every problem in the family. (Example: Hilbert's tenth problem, to decide whether a mul- tivariable polynomial equation with integer coefficients has a solution in integers, is undecidable [Mat70].) Remark 2.1. -
Axioms of Set Theory and Equivalents of Axiom of Choice Farighon Abdul Rahim Boise State University, [email protected]
Boise State University ScholarWorks Mathematics Undergraduate Theses Department of Mathematics 5-2014 Axioms of Set Theory and Equivalents of Axiom of Choice Farighon Abdul Rahim Boise State University, [email protected] Follow this and additional works at: http://scholarworks.boisestate.edu/ math_undergraduate_theses Part of the Set Theory Commons Recommended Citation Rahim, Farighon Abdul, "Axioms of Set Theory and Equivalents of Axiom of Choice" (2014). Mathematics Undergraduate Theses. Paper 1. Axioms of Set Theory and Equivalents of Axiom of Choice Farighon Abdul Rahim Advisor: Samuel Coskey Boise State University May 2014 1 Introduction Sets are all around us. A bag of potato chips, for instance, is a set containing certain number of individual chip’s that are its elements. University is another example of a set with students as its elements. By elements, we mean members. But sets should not be confused as to what they really are. A daughter of a blacksmith is an element of a set that contains her mother, father, and her siblings. Then this set is an element of a set that contains all the other families that live in the nearby town. So a set itself can be an element of a bigger set. In mathematics, axiom is defined to be a rule or a statement that is accepted to be true regardless of having to prove it. In a sense, axioms are self evident. In set theory, we deal with sets. Each time we state an axiom, we will do so by considering sets. Example of the set containing the blacksmith family might make it seem as if sets are finite. -
Arxiv:1710.00393V2
DIMENSION, COMPARISON, AND ALMOST FINITENESS DAVID KERR Abstract. We develop a dynamical version of some of the theory surrounding the Toms–Winter conjecture for simple separable nuclear C∗-algebras and study its con- nections to the C∗-algebra side via the crossed product. We introduce an analogue of hyperfiniteness for free actions of amenable groups on compact spaces and show that it plays the role of Z-stability in the Toms–Winter conjecture in its relation to dynamical comparison, and also that it implies Z-stability of the crossed product. This property, which we call almost finiteness, generalizes Matui’s notion of the same name from the zero-dimensional setting. We also introduce a notion of tower dimen- sion as a partial analogue of nuclear dimension and study its relation to dynamical comparison and almost finiteness, as well as to the dynamical asymptotic dimension and amenability dimension of Guentner, Willett, and Yu. 1. Introduction Two of the cornerstones of the theory of von Neumann algebras with separable predual are the following theorems due to Murray–von Neumann [31] and Connes [5], respectively: (i) there is a unique hyperfinite II1 factor, (ii) injectivity is equivalent to hyperfiniteness. Injectivity is a form of amenability that gives operator-algebraic expression to the idea of having an invariant mean, while hyperfiniteness means that the algebra can be expressed as the weak operator closure of an increasing sequence of finite-dimensional ∗-subalgebras (or, equivalently, that one has local ∗-ultrastrong approximation by such ∗-subalgebras [12]). The basic prototype for the relation between an invariant-mean- arXiv:1710.00393v2 [math.DS] 13 Jan 2019 type property and finite or finite-dimensional approximation is the equivalence between amenability and the Følner property for discrete groups, and indeed Connes’s proof of (ii) draws part of its inspiration from the Day–Namioka proof of this equivalence. -
Set (Mathematics) from Wikipedia, the Free Encyclopedia
Set (mathematics) From Wikipedia, the free encyclopedia A set in mathematics is a collection of well defined and distinct objects, considered as an object in its own right. Sets are one of the most fundamental concepts in mathematics. Developed at the end of the 19th century, set theory is now a ubiquitous part of mathematics, and can be used as a foundation from which nearly all of mathematics can be derived. In mathematics education, elementary topics such as Venn diagrams are taught at a young age, while more advanced concepts are taught as part of a university degree. Contents The intersection of two sets is made up of the objects contained in 1 Definition both sets, shown in a Venn 2 Describing sets diagram. 3 Membership 3.1 Subsets 3.2 Power sets 4 Cardinality 5 Special sets 6 Basic operations 6.1 Unions 6.2 Intersections 6.3 Complements 6.4 Cartesian product 7 Applications 8 Axiomatic set theory 9 Principle of inclusion and exclusion 10 See also 11 Notes 12 References 13 External links Definition A set is a well defined collection of objects. Georg Cantor, the founder of set theory, gave the following definition of a set at the beginning of his Beiträge zur Begründung der transfiniten Mengenlehre:[1] A set is a gathering together into a whole of definite, distinct objects of our perception [Anschauung] and of our thought – which are called elements of the set. The elements or members of a set can be anything: numbers, people, letters of the alphabet, other sets, and so on. -
MS Word Template for CAD Conference Papers
1084 Regularized Set Operations in Solid Modeling Revisited K. M. Yu1 , K. M. Lee2 and K. M. Au 3 1 The Hong Kong Polytechnic University, [email protected] 2 The Hong Kong Polytechnic University, [email protected] 3 HKU SPACE Community College, [email protected] Corresponding author: K. M. Au, [email protected] Abstract. The seminal works of Tilove and Requicha first introduced the use of general topology concepts in solid modeling. However, their works are brute-force approach from mathematicians’ perspective and are not easy to be comprehended by engineering trained personnels. This paper reviewed the point set topological approach using operational formulation and provided an alternate method to check the correctness of regularized set operations that was difficult to be formulated or ignored in various research work or literature study of geometric modeling. The results simply provide an alternate approach that easier to check the correctness for future research and development in geometric modeling. Essential topological concepts are described and visualized in easy to understand directed graphs. These facilitate subtle differentiation of key concepts to be recognized. In particular, some results are restated in a more mathematically correct version. Examples to use the prefix unary operators are demonstrated in solid modeling properties derivations and proofs as well as engineering applications. Keywords: Regularised Set Operations, Constructive Solid Geometry, Solid Modeling, Manufacturing, General Topology. DOI: https://doi.org/10.14733/cadaps.2020.1084-1100 1 INTRODUCTION The seminal works of Tilove and Requicha [9],[14],[15] first introduced the use of general topology concepts in solid modeling. -
On Maximal and Minimal Μ-Clopen Sets in GT Spaces Rebati Mohan Roy1*
Malaya Journal of Matematik, Vol. 6, No. 4, 854-857 2018 https://doi.org/10.26637/MJM0604/0023 On maximal and minimal m-clopen sets in GT spaces Rebati Mohan Roy1* Abstract In this paper, we introduce the notions of maximal and minimal m-clopen sets in a generalized topological space and their some properties. We obtain that maximal and minimal m-clopen sets are independent of maximal and minimal m-open and m-closed sets. We observed that the existence of maximal m-clopen set in a generalized topological space not only ensure the m-disconnectedness of a generalized topological space but also the existence of minimal m-clopen set in that space. Keywords m-open set, m-closed set, maximal m-open set, minimal m-closed set, m-clopen, maximal m-clopen set, minimal m-clopen set. AMS Subject Classification 54A05, 54D05. 1Department of Mathematics, Mathabhanga College, Cooch Behar-736146, West Bengal, India. *Corresponding author: 1roy [email protected] Article History: Received 22 September 2018; Accepted 14 December 2018 c 2018 MJM. Contents denoted by im (A). The generalized closure of a subset A of X is the intersection of all m-closed sets containing A and is 1 Introduction.......................................854 denoted by cm (A). It is easy to see that im (A) = X −cm (X −A). 2 Maximal, minimal m-open set(resp. m-closed set) and By a proper m-open set (resp. m-closed set) of X, we mean m-clopen set ......................................854 a m-open set G (resp. m-closed set E) such that G 6= /0 and 3 Maximal and minimal m-clopen sets . -
0716-0917-Proy-40-03-671.Pdf
672 Ennis Rosas and Sarhad F. Namiq 1. Introduction Following [3] N. Levine, 1963, defined semi open sets. Similarly, S. F. Namiq [4], definedanoperationλ on the family of semi open sets in a topological space called semi operation, denoted by s-operation; via this operation, in his study [7], he defined λsc-open set by using λ-open and semi closed sets, and also following [5], he defined λco-open set and investigated several properties of λco-derived, λco-interior and λco-closure points in topological spaces. In the present article, we define the λco-connected space, discuss some characterizations and properties of λco-connected spaces, λco-components and λco-locally connected spaces and finally its relations with others con- nected spaces. 2. Preliminaries In the entire parts of the present paper, a topological space is referred to by (X, τ)orsimplybyX.First,somedefinitions are recalled and results are used in this paper. For any subset A of X, the closure and the interior of A are denoted by Cl(A)andInt(A), respectively. Following [8], the researchers state that a subset A of X is regular closed if A =Cl(Int(A)). Similarly, following [3], a subset A of a space X is semi open if A Cl(Int(A)). The complement of a semi open set is called semi closed. The⊆ family of all semi open (resp. semi closed) sets in a space X is denoted by SO(X, τ)orSO(X) (resp. SC(X, τ)orSC(X). According to [1], a space X is stated to be s- connected, if it is not the union of two nonempty disjoint semi open subsets of X.Weconsiderλ:SO(X) P (X) as a function definedonSO(X)into the power set of X, P (X)and→ λ is called a semi-operation denoted by s-operation, if V λ(V ), for each semi open set V .