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Semiring Frameworks and Algorithms for Shortest-Distance Problems
Journal of Automata, Languages and Combinatorics u (v) w, x–y c Otto-von-Guericke-Universit¨at Magdeburg Semiring Frameworks and Algorithms for Shortest-Distance Problems Mehryar Mohri AT&T Labs – Research 180 Park Avenue, Rm E135 Florham Park, NJ 07932 e-mail: [email protected] ABSTRACT We define general algebraic frameworks for shortest-distance problems based on the structure of semirings. We give a generic algorithm for finding single-source shortest distances in a weighted directed graph when the weights satisfy the conditions of our general semiring framework. The same algorithm can be used to solve efficiently clas- sical shortest paths problems or to find the k-shortest distances in a directed graph. It can be used to solve single-source shortest-distance problems in weighted directed acyclic graphs over any semiring. We examine several semirings and describe some specific instances of our generic algorithms to illustrate their use and compare them with existing methods and algorithms. The proof of the soundness of all algorithms is given in detail, including their pseudocode and a full analysis of their running time complexity. Keywords: semirings, finite automata, shortest-paths algorithms, rational power series Classical shortest-paths problems in a weighted directed graph arise in various contexts. The problems divide into two related categories: single-source shortest- paths problems and all-pairs shortest-paths problems. The single-source shortest-path problem in a directed graph consists of determining the shortest path from a fixed source vertex s to all other vertices. The all-pairs shortest-distance problem is that of finding the shortest paths between all pairs of vertices of a graph. -
Simple Closed Geodesics on Regular Tetrahedra in Lobachevsky Space
Simple closed geodesics on regular tetrahedra in Lobachevsky space Alexander A. Borisenko, Darya D. Sukhorebska Abstract. We obtained a complete classification of simple closed geodesics on regular tetrahedra in Lobachevsky space. Also, we evaluated the number of simple closed geodesics of length not greater than L and found the asymptotic of this number as L goes to infinity. Keywords: closed geodesics, simple geodesics, regular tetrahedron, Lobachevsky space, hyperbolic space. MSC: 53С22, 52B10 1 Introduction A closed geodesic is called simple if this geodesic is not self-intersecting and does not go along itself. In 1905 Poincare proposed the conjecture on the existence of three simple closed geodesics on a smooth convex surface in three-dimensional Euclidean space. In 1917 J. Birkhoff proved that there exists at least one simple closed geodesic on a Riemannian manifold that is home- omorphic to a sphere of arbitrary dimension [1]. In 1929 L. Lyusternik and L. Shnirelman obtained that there exist at least three simple closed geodesics on a compact simply-connected two-dimensional Riemannian manifold [2], [3]. But the proof by Lyusternik and Shnirelman contains substantial gaps. I. A. Taimanov gives a complete proof of the theorem that on each smooth Riemannian manifold homeomorphic to the two-dimentional sphere there exist at least three distinct simple closed geodesics [4]. In 1951 L. Lyusternik and A. Fet stated that there exists at least one closed geodesic on any compact Riemannian manifold [5]. In 1965 Fet improved this results. He proved that there exist at least two closed geodesics on a compact Riemannian manifold under the assumption that all closed geodesics are non-degenerate [6]. -
Geometry Without Points
GEOMETRY WITHOUT POINTS Dana S. Scott, FBA, FNAS University Professor Emeritus Carnegie Mellon University Visiting Scholar University of California, Berkeley This is a preliminary report on on-going joint work with Tamar Lando, Philosophy, Columbia University !1 Euclid’s Definitions • A point is that which has no part. • A line is breadthless length. • A surface is that which has length and breadth only. The Basic Questions • Are these notions too abstract ? Or too idealized ? • Can we develop a theory of regions without using points ? • Does it make sense for geometric objects to be only solids ? !2 Famous Proponents of Pointlessness Gottfried Wilhelm von Leibniz (1646 – 1716) Nikolai Lobachevsky (1792 – 1856) Edmund Husserl (1859 – 1938) Alfred North Whitehead (1861 – 1947) Johannes Trolle Hjelmslev (1873 – 1950) Edward Vermilye Huntington (1874 – 1952) Theodore de Laguna (1876 – 1930) Stanisław Leśniewski (1886 – 1939) Jean George Pierre Nicod (1893 – 1924) Leonard Mascot Blumenthal (1901 – 1984) Alfred Tarski (1901 – 1983) Karl Menger (1902 – 1985) John von Neumann (1903 – 1957) Henry S. Leonard (1905 – 1967) Nelson Goodman (1906 – 1998) !3 Two Quotations Mathematics is a part of physics. Physics is an experimental science, a part of natural science. Mathematics is the part of physics where experiments are cheap. -- V.I. Arnol’d, in a lecture, Paris, March 1997 I remember once when I tried to add a little seasoning to a review, but I wasn't allowed to. The paper was by Dorothy Maharam, and it was a perfectly sound contribution to abstract measure theory. The domains of the underlying measures were not sets but elements of more general Boolean algebras, and their range consisted not of positive numbers but of certain abstract equivalence classes. -
Draft Framework for a Teaching Unit: Transformations
Co-funded by the European Union PRIMARY TEACHER EDUCATION (PrimTEd) PROJECT GEOMETRY AND MEASUREMENT WORKING GROUP DRAFT FRAMEWORK FOR A TEACHING UNIT Preamble The general aim of this teaching unit is to empower pre-service students by exposing them to geometry and measurement, and the relevant pe dagogical content that would allow them to become skilful and competent mathematics teachers. The depth and scope of the content often go beyond what is required by prescribed school curricula for the Intermediate Phase learners, but should allow pre- service teachers to be well equipped, and approach the teaching of Geometry and Measurement with confidence. Pre-service teachers should essentially be prepared for Intermediate Phase teaching according to the requirements set out in MRTEQ (Minimum Requirements for Teacher Education Qualifications, 2019). “MRTEQ provides a basis for the construction of core curricula Initial Teacher Education (ITE) as well as for Continuing Professional Development (CPD) Programmes that accredited institutions must use in order to develop programmes leading to teacher education qualifications.” [p6]. Competent learning… a mixture of Theoretical & Pure & Extrinsic & Potential & Competent learning represents the acquisition, integration & application of different types of knowledge. Each type implies the mastering of specific related skills Disciplinary Subject matter knowledge & specific specialized subject Pedagogical Knowledge of learners, learning, curriculum & general instructional & assessment strategies & specialized Learning in & from practice – the study of practice using Practical learning case studies, videos & lesson observations to theorize practice & form basis for learning in practice – authentic & simulated classroom environments, i.e. Work-integrated Fundamental Learning to converse in a second official language (LOTL), ability to use ICT & acquisition of academic literacies Knowledge of varied learning situations, contexts & Situational environments of education – classrooms, schools, communities, etc. -
Hands-On Explorations of Plane Transformations
Hands-On Explorations of Plane Transformations James King University of Washington Department of Mathematics [email protected] http://www.math.washington.edu/~king The “Plan” • In this session, we will explore exploring. • We have a big math toolkit of transformations to think about. • We have some physical objects that can serve as a hands- on toolkit. • We have geometry relationships to think about. • So we will try out at many combinations as we can to get an idea of how they work out as a real-world experience. • I expect that we will get some new ideas from each other as we try out different tools for various purposes. Our Transformational Case of Characters • Line Reflection • Point Reflection (a rotation) • Translation • Rotation • Dilation • Compositions of any of the above Our Physical Toolkit • Patty paper • Semi-reflective plastic mirrors • Graph paper • Ruled paper • Card Stock • Dot paper • Scissors, rulers, protractors Reflecting a point • As a first task, we will try out tools for line reflection of a point A to a point B. Then reflecting a shape. A • Suggest that you try the semi-reflective mirrors and the patty paper for folding and tracing. Also, graph paper is an option. Also, regular paper and cut-outs M • Note that pencils and overhead pens work on patty paper but not ballpoints. Also not that overhead dots are easier to see with the mirrors. B • Can we (or your students) conclude from your C tool that the mirror line is the perpendicular bisector of AB? Which tools best let you draw this reflection? • When reflecting shapes, consider how to reflect some polygon when it is not all on one side of the mirror line. -
A Guide to Self-Distributive Quasigroups, Or Latin Quandles
A GUIDE TO SELF-DISTRIBUTIVE QUASIGROUPS, OR LATIN QUANDLES DAVID STANOVSKY´ Abstract. We present an overview of the theory of self-distributive quasigroups, both in the two- sided and one-sided cases, and relate the older results to the modern theory of quandles, to which self-distributive quasigroups are a special case. Most attention is paid to the representation results (loop isotopy, linear representation, homogeneous representation), as the main tool to investigate self-distributive quasigroups. 1. Introduction 1.1. The origins of self-distributivity. Self-distributivity is such a natural concept: given a binary operation on a set A, fix one parameter, say the left one, and consider the mappings ∗ La(x) = a x, called left translations. If all such mappings are endomorphisms of the algebraic structure (A,∗ ), the operation is called left self-distributive (the prefix self- is usually omitted). Equationally,∗ the property says a (x y) = (a x) (a y) ∗ ∗ ∗ ∗ ∗ for every a, x, y A, and we see that distributes over itself. Self-distributivity∈ was pinpointed already∗ in the late 19th century works of logicians Peirce and Schr¨oder [69, 76], and ever since, it keeps appearing in a natural way throughout mathematics, perhaps most notably in low dimensional topology (knot and braid invariants) [12, 15, 63], in the theory of symmetric spaces [57] and in set theory (Laver’s groupoids of elementary embeddings) [15]. Recently, Moskovich expressed an interesting statement on his blog [60] that while associativity caters to the classical world of space and time, distributivity is, perhaps, the setting for the emerging world of information. -
Higher Braid Groups and Regular Semigroups from Polyadic-Binary Correspondence
mathematics Article Higher Braid Groups and Regular Semigroups from Polyadic-Binary Correspondence Steven Duplij Center for Information Technology (WWU IT), Universität Münster, Röntgenstrasse 7-13, D-48149 Münster, Germany; [email protected] Abstract: In this note, we first consider a ternary matrix group related to the von Neumann regular semigroups and to the Artin braid group (in an algebraic way). The product of a special kind of ternary matrices (idempotent and of finite order) reproduces the regular semigroups and braid groups with their binary multiplication of components. We then generalize the construction to the higher arity case, which allows us to obtain some higher degree versions (in our sense) of the regular semigroups and braid groups. The latter are connected with the generalized polyadic braid equation and R-matrix introduced by the author, which differ from any version of the well-known tetrahedron equation and higher-dimensional analogs of the Yang-Baxter equation, n-simplex equations. The higher degree (in our sense) Coxeter group and symmetry groups are then defined, and it is shown that these are connected only in the non-higher case. Keywords: regular semigroup; braid group; generator; relation; presentation; Coxeter group; symmetric group; polyadic matrix group; querelement; idempotence; finite order element MSC: 16T25; 17A42; 20B30; 20F36; 20M17; 20N15 Citation: Duplij, S. Higher Braid Groups and Regular Semigroups from Polyadic-Binary 1. Introduction Correspondence. Mathematics 2021, 9, We begin by observing that the defining relations of the von Neumann regular semi- 972. https://doi.org/10.3390/ groups (e.g., References [1–3]) and the Artin braid group [4,5] correspond to such properties math9090972 of ternary matrices (over the same set) as idempotence and the orders of elements (period). -
Propositional Fuzzy Logics: Tableaux and Strong Completeness Agnieszka Kulacka
Imperial College London Department of Computing Propositional Fuzzy Logics: Tableaux and Strong Completeness Agnieszka Kulacka A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computing Research. London 2017 Acknowledgements I would like to thank my supervisor, Professor Ian Hodkinson, for his patient guidance and always responding to my questions promptly and helpfully. I am deeply grateful for his thorough explanations of difficult topics, in-depth discus- sions and for enlightening suggestions on the work at hand. Studying under the supervision of Professor Hodkinson also proved that research in logic is enjoyable. Two other people influenced the quality of this work, and these are my exam- iners, whose constructive comments shaped the thesis to much higher standards both in terms of the content as well as the presentation of it. This project would not have been completed without encouragement and sup- port of my husband, to whom I am deeply indebted for that. Abstract In his famous book Mathematical Fuzzy Logic, Petr H´ajekdefined a new fuzzy logic, which he called BL. It is weaker than the three fundamental fuzzy logics Product,Lukasiewicz and G¨odel,which are in turn weaker than classical logic, but axiomatic systems for each of them can be obtained by adding axioms to BL. Thus, H´ajek placed all these logics in a unifying axiomatic framework. In this dissertation, two problems concerning BL and other fuzzy logics have been considered and solved. One was to construct tableaux for BL and for BL with additional connectives. Tableaux are automatic systems to verify whether a given formula must have given truth values, or to build a model in which it does not have these specific truth values. -
Laws of Thought and Laws of Logic After Kant”1
“Laws of Thought and Laws of Logic after Kant”1 Published in Logic from Kant to Russell, ed. S. Lapointe (Routledge) This is the author’s version. Published version: https://www.routledge.com/Logic-from-Kant-to- Russell-Laying-the-Foundations-for-Analytic-Philosophy/Lapointe/p/book/9781351182249 Lydia Patton Virginia Tech [email protected] Abstract George Boole emerged from the British tradition of the “New Analytic”, known for the view that the laws of logic are laws of thought. Logicians in the New Analytic tradition were influenced by the work of Immanuel Kant, and by the German logicians Wilhelm Traugott Krug and Wilhelm Esser, among others. In his 1854 work An Investigation of the Laws of Thought on Which are Founded the Mathematical Theories of Logic and Probabilities, Boole argues that the laws of thought acquire normative force when constrained to mathematical reasoning. Boole’s motivation is, first, to address issues in the foundations of mathematics, including the relationship between arithmetic and algebra, and the study and application of differential equations (Durand-Richard, van Evra, Panteki). Second, Boole intended to derive the laws of logic from the laws of the operation of the human mind, and to show that these laws were valid of algebra and of logic both, when applied to a restricted domain. Boole’s thorough and flexible work in these areas influenced the development of model theory (see Hodges, forthcoming), and has much in common with contemporary inferentialist approaches to logic (found in, e.g., Peregrin and Resnik). 1 I would like to thank Sandra Lapointe for providing the intellectual framework and leadership for this project, for organizing excellent workshops that were the site for substantive collaboration with others working on this project, and for comments on a draft. -
12 Propositional Logic
CHAPTER 12 ✦ ✦ ✦ ✦ Propositional Logic In this chapter, we introduce propositional logic, an algebra whose original purpose, dating back to Aristotle, was to model reasoning. In more recent times, this algebra, like many algebras, has proved useful as a design tool. For example, Chapter 13 shows how propositional logic can be used in computer circuit design. A third use of logic is as a data model for programming languages and systems, such as the language Prolog. Many systems for reasoning by computer, including theorem provers, program verifiers, and applications in the field of artificial intelligence, have been implemented in logic-based programming languages. These languages generally use “predicate logic,” a more powerful form of logic that extends the capabilities of propositional logic. We shall meet predicate logic in Chapter 14. ✦ ✦ ✦ ✦ 12.1 What This Chapter Is About Section 12.2 gives an intuitive explanation of what propositional logic is, and why it is useful. The next section, 12,3, introduces an algebra for logical expressions with Boolean-valued operands and with logical operators such as AND, OR, and NOT that Boolean algebra operate on Boolean (true/false) values. This algebra is often called Boolean algebra after George Boole, the logician who first framed logic as an algebra. We then learn the following ideas. ✦ Truth tables are a useful way to represent the meaning of an expression in logic (Section 12.4). ✦ We can convert a truth table to a logical expression for the same logical function (Section 12.5). ✦ The Karnaugh map is a useful tabular technique for simplifying logical expres- sions (Section 12.6). -
M-Idempotent and Self-Dual Morphological Filters ا
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 34, NO. 4, APRIL 2012 805 Short Papers___________________________________________________________________________________________________ M-Idempotent and Self-Dual and morphological filters (opening and closing, alternating filters, Morphological Filters alternating sequential filters (ASF)). The quest for self-dual and/or idempotent operators has been the focus of many investigators. We refer to some important work Nidhal Bouaynaya, Member, IEEE, in the area in chronological order. A morphological operator that is Mohammed Charif-Chefchaouni, and idempotent and self-dual has been proposed in [28] by using the Dan Schonfeld, Fellow, IEEE notion of the middle element. The middle element, however, can only be obtained through repeated (possibly infinite) iterations. Meyer and Serra [19] established conditions for the idempotence of Abstract—In this paper, we present a comprehensive analysis of self-dual and the class of the contrast mappings. Heijmans [8] proposed a m-idempotent operators. We refer to an operator as m-idempotent if it converges general method for the construction of morphological operators after m iterations. We focus on an important special case of the general theory of that are self-dual, but not necessarily idempotent. Heijmans and lattice morphology: spatially variant morphology, which captures the geometrical Ronse [10] derived conditions for the idempotence of the self-dual interpretation of spatially variant structuring elements. We demonstrate that every annular operator, in which case it will be called an annular filter. increasing self-dual morphological operator can be viewed as a morphological An alternative framework for morphological image processing that center. Necessary and sufficient conditions for the idempotence of morphological operators are characterized in terms of their kernel representation. -
Rigid Motion – a Transformation That Preserves Distance and Angle Measure (The Shapes Are Congruent, Angles Are Congruent)
REVIEW OF TRANSFORMATIONS GEOMETRY Rigid motion – A transformation that preserves distance and angle measure (the shapes are congruent, angles are congruent). Isometry – A transformation that preserves distance (the shapes are congruent). Direct Isometry – A transformation that preserves orientation, the order of the lettering (ABCD) in the figure and the image are the same, either both clockwise or both counterclockwise (the shapes are congruent). Opposite Isometry – A transformation that DOES NOT preserve orientation, the order of the lettering (ABCD) is reversed, either clockwise or counterclockwise becomes clockwise (the shapes are congruent). Composition of transformations – is a combination of 2 or more transformations. In a composition, you perform each transformation on the image of the preceding transformation. Example: rRx axis O,180 , the little circle tells us that this is a composition of transformations, we also execute the transformations from right to left (backwards). If you would like a visual of this information or if you would like to quiz yourself, go to http://www.mathsisfun.com/geometry/transformations.html. Line Reflection Point Reflection Translations (Shift) Rotations (Turn) Glide Reflection Dilations (Multiply) Rigid Motion Rigid Motion Rigid Motion Rigid Motion Rigid Motion Not a rigid motion Opposite isometry Direct isometry Direct isometry Direct isometry Opposite isometry NOT an isometry Reverse orientation Same orientation Same orientation Same orientation Reverse orientation Same orientation Properties preserved: Properties preserved: Properties preserved: Properties preserved: Properties preserved: Properties preserved: 1. Distance 1. Distance 1. Distance 1. Distance 1. Distance 1. Angle measure 2. Angle measure 2. Angle measure 2. Angle measure 2. Angle measure 2. Angle measure 2.