Mathematical Conquerors, Unguru Polarity, and the Task of History
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Lesson 3: Rectangles Inscribed in Circles
NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 3 M5 GEOMETRY Lesson 3: Rectangles Inscribed in Circles Student Outcomes . Inscribe a rectangle in a circle. Understand the symmetries of inscribed rectangles across a diameter. Lesson Notes Have students use a compass and straightedge to locate the center of the circle provided. If necessary, remind students of their work in Module 1 on constructing a perpendicular to a segment and of their work in Lesson 1 in this module on Thales’ theorem. Standards addressed with this lesson are G-C.A.2 and G-C.A.3. Students should be made aware that figures are not drawn to scale. Classwork Scaffolding: Opening Exercise (9 minutes) Display steps to construct a perpendicular line at a point. Students follow the steps provided and use a compass and straightedge to find the center of a circle. This exercise reminds students about constructions previously . Draw a segment through the studied that are needed in this lesson and later in this module. point, and, using a compass, mark a point equidistant on Opening Exercise each side of the point. Using only a compass and straightedge, find the location of the center of the circle below. Label the endpoints of the Follow the steps provided. segment 퐴 and 퐵. Draw chord 푨푩̅̅̅̅. Draw circle 퐴 with center 퐴 . Construct a chord perpendicular to 푨푩̅̅̅̅ at and radius ̅퐴퐵̅̅̅. endpoint 푩. Draw circle 퐵 with center 퐵 . Mark the point of intersection of the perpendicular chord and the circle as point and radius ̅퐵퐴̅̅̅. 푪. Label the points of intersection . -
The Geometry of Diagonal Groups
The geometry of diagonal groups R. A. Baileya, Peter J. Camerona, Cheryl E. Praegerb, Csaba Schneiderc aUniversity of St Andrews, St Andrews, UK bUniversity of Western Australia, Perth, Australia cUniversidade Federal de Minas Gerais, Belo Horizonte, Brazil Abstract Diagonal groups are one of the classes of finite primitive permutation groups occurring in the conclusion of the O'Nan{Scott theorem. Several of the other classes have been described as the automorphism groups of geometric or combi- natorial structures such as affine spaces or Cartesian decompositions, but such structures for diagonal groups have not been studied in general. The main purpose of this paper is to describe and characterise such struct- ures, which we call diagonal semilattices. Unlike the diagonal groups in the O'Nan{Scott theorem, which are defined over finite characteristically simple groups, our construction works over arbitrary groups, finite or infinite. A diagonal semilattice depends on a dimension m and a group T . For m = 2, it is a Latin square, the Cayley table of T , though in fact any Latin square satisfies our combinatorial axioms. However, for m > 3, the group T emerges naturally and uniquely from the axioms. (The situation somewhat resembles projective geometry, where projective planes exist in great profusion but higher- dimensional structures are coordinatised by an algebraic object, a division ring.) A diagonal semilattice is contained in the partition lattice on a set Ω, and we provide an introduction to the calculus of partitions. Many of the concepts and constructions come from experimental design in statistics. We also determine when a diagonal group can be primitive, or quasiprimitive (these conditions turn out to be equivalent for diagonal groups). -
Simple Polygons Scribe: Michael Goldwasser
CS268: Geometric Algorithms Handout #5 Design and Analysis Original Handout #15 Stanford University Tuesday, 25 February 1992 Original Lecture #6: 28 January 1991 Topics: Triangulating Simple Polygons Scribe: Michael Goldwasser Algorithms for triangulating polygons are important tools throughout computa- tional geometry. Many problems involving polygons are simplified by partitioning the complex polygon into triangles, and then working with the individual triangles. The applications of such algorithms are well documented in papers involving visibility, motion planning, and computer graphics. The following notes give an introduction to triangulations and many related definitions and basic lemmas. Most of the definitions are based on a simple polygon, P, containing n edges, and hence n vertices. However, many of the definitions and results can be extended to a general arrangement of n line segments. 1 Diagonals Definition 1. Given a simple polygon, P, a diagonal is a line segment between two non-adjacent vertices that lies entirely within the interior of the polygon. Lemma 2. Every simple polygon with jPj > 3 contains a diagonal. Proof: Consider some vertex v. If v has a diagonal, it’s party time. If not then the only vertices visible from v are its neighbors. Therefore v must see some single edge beyond its neighbors that entirely spans the sector of visibility, and therefore v must be a convex vertex. Now consider the two neighbors of v. Since jPj > 3, these cannot be neighbors of each other, however they must be visible from each other because of the above situation, and thus the segment connecting them is indeed a diagonal. -
Fermat, Leibniz, Euler, and the Gang: the True History of the Concepts Of
FERMAT, LEIBNIZ, EULER, AND THE GANG: THE TRUE HISTORY OF THE CONCEPTS OF LIMIT AND SHADOW TIZIANA BASCELLI, EMANUELE BOTTAZZI, FREDERIK HERZBERG, VLADIMIR KANOVEI, KARIN U. KATZ, MIKHAIL G. KATZ, TAHL NOWIK, DAVID SHERRY, AND STEVEN SHNIDER Abstract. Fermat, Leibniz, Euler, and Cauchy all used one or another form of approximate equality, or the idea of discarding “negligible” terms, so as to obtain a correct analytic answer. Their inferential moves find suitable proxies in the context of modern the- ories of infinitesimals, and specifically the concept of shadow. We give an application to decreasing rearrangements of real functions. Contents 1. Introduction 2 2. Methodological remarks 4 2.1. A-track and B-track 5 2.2. Formal epistemology: Easwaran on hyperreals 6 2.3. Zermelo–Fraenkel axioms and the Feferman–Levy model 8 2.4. Skolem integers and Robinson integers 9 2.5. Williamson, complexity, and other arguments 10 2.6. Infinity and infinitesimal: let both pretty severely alone 13 3. Fermat’s adequality 13 3.1. Summary of Fermat’s algorithm 14 arXiv:1407.0233v1 [math.HO] 1 Jul 2014 3.2. Tangent line and convexity of parabola 15 3.3. Fermat, Galileo, and Wallis 17 4. Leibniz’s Transcendental law of homogeneity 18 4.1. When are quantities equal? 19 4.2. Product rule 20 5. Euler’s Principle of Cancellation 20 6. What did Cauchy mean by “limit”? 22 6.1. Cauchy on Leibniz 23 6.2. Cauchy on continuity 23 7. Modern formalisations: a case study 25 8. A combinatorial approach to decreasing rearrangements 26 9. -
Unit 6 Visualising Solid Shapes(Final)
• 3D shapes/objects are those which do not lie completely in a plane. • 3D objects have different views from different positions. • A solid is a polyhedron if it is made up of only polygonal faces, the faces meet at edges which are line segments and the edges meet at a point called vertex. • Euler’s formula for any polyhedron is, F + V – E = 2 Where F stands for number of faces, V for number of vertices and E for number of edges. • Types of polyhedrons: (a) Convex polyhedron A convex polyhedron is one in which all faces make it convex. e.g. (1) (2) (3) (4) 12/04/18 (1) and (2) are convex polyhedrons whereas (3) and (4) are non convex polyhedron. (b) Regular polyhedra or platonic solids: A polyhedron is regular if its faces are congruent regular polygons and the same number of faces meet at each vertex. For example, a cube is a platonic solid because all six of its faces are congruent squares. There are five such solids– tetrahedron, cube, octahedron, dodecahedron and icosahedron. e.g. • A prism is a polyhedron whose bottom and top faces (known as bases) are congruent polygons and faces known as lateral faces are parallelograms (when the side faces are rectangles, the shape is known as right prism). • A pyramid is a polyhedron whose base is a polygon and lateral faces are triangles. • A map depicts the location of a particular object/place in relation to other objects/places. The front, top and side of a figure are shown. Use centimetre cubes to build the figure. -
Connes on the Role of Hyperreals in Mathematics
Found Sci DOI 10.1007/s10699-012-9316-5 Tools, Objects, and Chimeras: Connes on the Role of Hyperreals in Mathematics Vladimir Kanovei · Mikhail G. Katz · Thomas Mormann © Springer Science+Business Media Dordrecht 2012 Abstract We examine some of Connes’ criticisms of Robinson’s infinitesimals starting in 1995. Connes sought to exploit the Solovay model S as ammunition against non-standard analysis, but the model tends to boomerang, undercutting Connes’ own earlier work in func- tional analysis. Connes described the hyperreals as both a “virtual theory” and a “chimera”, yet acknowledged that his argument relies on the transfer principle. We analyze Connes’ “dart-throwing” thought experiment, but reach an opposite conclusion. In S, all definable sets of reals are Lebesgue measurable, suggesting that Connes views a theory as being “vir- tual” if it is not definable in a suitable model of ZFC. If so, Connes’ claim that a theory of the hyperreals is “virtual” is refuted by the existence of a definable model of the hyperreal field due to Kanovei and Shelah. Free ultrafilters aren’t definable, yet Connes exploited such ultrafilters both in his own earlier work on the classification of factors in the 1970s and 80s, and in Noncommutative Geometry, raising the question whether the latter may not be vulnera- ble to Connes’ criticism of virtuality. We analyze the philosophical underpinnings of Connes’ argument based on Gödel’s incompleteness theorem, and detect an apparent circularity in Connes’ logic. We document the reliance on non-constructive foundational material, and specifically on the Dixmier trace − (featured on the front cover of Connes’ magnum opus) V. -
Curriculum Burst 31: Coloring a Pentagon by Dr
Curriculum Burst 31: Coloring a Pentagon By Dr. James Tanton, MAA Mathematician in Residence Each vertex of a convex pentagon ABCDE is to be assigned a color. There are 6 colors to choose from, and the ends of each diagonal must have different colors. How many different colorings are possible? SOURCE: This is question # 22 from the 2010 MAA AMC 10a Competition. QUICK STATS: MAA AMC GRADE LEVEL This question is appropriate for the 10th grade level. MATHEMATICAL TOPICS Counting: Permutations and Combinations COMMON CORE STATE STANDARDS S-CP.9: Use permutations and combinations to compute probabilities of compound events and solve problems. MATHEMATICAL PRACTICE STANDARDS MP1 Make sense of problems and persevere in solving them. MP2 Reason abstractly and quantitatively. MP3 Construct viable arguments and critique the reasoning of others. MP7 Look for and make use of structure. PROBLEM SOLVING STRATEGY ESSAY 7: PERSEVERANCE IS KEY 1 THE PROBLEM-SOLVING PROCESS: Three consecutive vertices the same color is not allowed. As always … (It gives a bad diagonal!) How about two pairs of neighboring vertices, one pair one color, the other pair a STEP 1: Read the question, have an second color? The single remaining vertex would have to emotional reaction to it, take a deep be a third color. Call this SCHEME III. breath, and then reread the question. This question seems complicated! We have five points A , B , C , D and E making a (convex) pentagon. A little thought shows these are all the options. (But note, with rotations, there are 5 versions of scheme II and 5 versions of scheme III.) Now we need to count the number Each vertex is to be colored one of six colors, but in a way of possible colorings for each scheme. -
Combinatorial Analysis of Diagonal, Box, and Greater-Than Polynomials As Packing Functions
Appl. Math. Inf. Sci. 9, No. 6, 2757-2766 (2015) 2757 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.12785/amis/090601 Combinatorial Analysis of Diagonal, Box, and Greater-Than Polynomials as Packing Functions 1,2, 3 2 4 Jose Torres-Jimenez ∗, Nelson Rangel-Valdez , Raghu N. Kacker and James F. Lawrence 1 CINVESTAV-Tamaulipas, Information Technology Laboratory, Km. 5.5 Carretera Victoria-Soto La Marina, 87130 Victoria Tamps., Mexico 2 National Institute of Standards and Technology, Gaithersburg, MD 20899, USA 3 Universidad Polit´ecnica de Victoria, Av. Nuevas Tecnolog´ıas 5902, Km. 5.5 Carretera Cd. Victoria-Soto la Marina, 87130, Cd. Victoria Tamps., M´exico 4 George Mason University, Fairfax, VA 22030, USA Received: 2 Feb. 2015, Revised: 2 Apr. 2015, Accepted: 3 Apr. 2015 Published online: 1 Nov. 2015 Abstract: A packing function is a bijection between a subset V Nm and N, where N denotes the set of non negative integers N. Packing functions have several applications, e.g. in partitioning schemes⊆ and in text compression. Two categories of packing functions are Diagonal Polynomials and Box Polynomials. The bijections for diagonal ad box polynomials have mostly been studied for small values of m. In addition to presenting bijections for box and diagonal polynomials for any value of m, we present a bijection using what we call Greater-Than Polynomial between restricted m dimensional vectors over Nm and N. We give details of two interesting applications of packing functions: (a) the application of greater-than− polynomials for the manipulation of Covering Arrays that are used in combinatorial interaction testing; and (b) the relationship between grater-than and diagonal polynomials with a special case of Diophantine equations. -
Fundamental Theorems in Mathematics
SOME FUNDAMENTAL THEOREMS IN MATHEMATICS OLIVER KNILL Abstract. An expository hitchhikers guide to some theorems in mathematics. Criteria for the current list of 243 theorems are whether the result can be formulated elegantly, whether it is beautiful or useful and whether it could serve as a guide [6] without leading to panic. The order is not a ranking but ordered along a time-line when things were writ- ten down. Since [556] stated “a mathematical theorem only becomes beautiful if presented as a crown jewel within a context" we try sometimes to give some context. Of course, any such list of theorems is a matter of personal preferences, taste and limitations. The num- ber of theorems is arbitrary, the initial obvious goal was 42 but that number got eventually surpassed as it is hard to stop, once started. As a compensation, there are 42 “tweetable" theorems with included proofs. More comments on the choice of the theorems is included in an epilogue. For literature on general mathematics, see [193, 189, 29, 235, 254, 619, 412, 138], for history [217, 625, 376, 73, 46, 208, 379, 365, 690, 113, 618, 79, 259, 341], for popular, beautiful or elegant things [12, 529, 201, 182, 17, 672, 673, 44, 204, 190, 245, 446, 616, 303, 201, 2, 127, 146, 128, 502, 261, 172]. For comprehensive overviews in large parts of math- ematics, [74, 165, 166, 51, 593] or predictions on developments [47]. For reflections about mathematics in general [145, 455, 45, 306, 439, 99, 561]. Encyclopedic source examples are [188, 705, 670, 102, 192, 152, 221, 191, 111, 635]. -
Diagonal Tuple Space Search in Two Dimensions
Diagonal Tuple Space Search in Two Dimensions Mikko Alutoin and Pertti Raatikainen VTT Information Technology P.O. Box 1202, FIN-02044 Finland {mikkocalutoin, pertti.raatikainen}@vtt.fi Abstract. Due to the evolution of the Internet and its services, the process of forwarding packets in routers is becoming more complex. In order to execute the sophisticated routing logic of modern firewalls, multidimensional packet classification is required. Unfortunately, the multidimensional packet classifi cation algorithms are known to be either time or storage hungry in the general case. It has been anticipated that more feasible algorithms could be obtained for conflict-free classifiers. This paper proposes a novel two-dimensional packet classification algorithrn applicable to the conflict-free classifiers. lt derives from the well-known tuple space paradigm and it has the search cost of O(log w) and storage complexity of O{n2w log w), where w is the width of the proto col fields given in bits and n is the number of rules in the classifier. This is re markable because without the conflict-free constraint the search cost in the two dimensional tup!e space is E>(w). 1 Introduction Traditional packet forwarding in the Internet is based on one-dimensional route Iook ups: destination IP address is used as the key when the Forwarding Information Base (FIB) is searched for matehing routes. The routes are stored in the FIB by using a network prefix as the key. A route matches a packet if its network prefix is a prefix of the packet's destination IP address. In the event that several routes match the packet, the one with the Iongest prefix prevails. -
Length and Circumference Assessment of Body Parts – the Creation of Easy-To-Use Predictions Formulas
49th International Conference on Environmental Systems ICES-2019-170 7-11 July 2019, Boston, Massachusetts Length and Circumference Assessment of Body Parts – The Creation of Easy-To-Use Predictions Formulas Jan P. Weber1 Technische Universität München, 85748 Garching b. München, Germany The Virtual Habitat project (V-HAB) at the Technical University of Munich (TUM) aims to develop a dynamic simulation environment for life support systems (LSS). Within V-HAB a dynamic human model interacts with the LSS by providing relevant metabolic inputs and outputs based on internal, environmental and operational factors. The human model is separated into five sub-models (called layers) representing metabolism, respiration, thermoregulation, water balance and digestion. The Wissler Thermal Model was converted in 2015/16 from Fortran to C#, introducing a more modularized structure and standalone graphical user interface (GUI). While previous effort was conducted in order to make the model in its current accepted version available in V-HAB, present work is focusing on the rework of the passive system. As part of this rework an extensive assessment of human body measurements and their dependency on a low number of influencing parameters was performed using the body measurements of 3982 humans (1774 men and 2208 women) in order to create a set of easy- to-use predictive formulas for the calculation of length and circumference measurements of various body parts. Nomenclature AAC = Axillary Arm Circumference KHM = Knee Height, Midpatella Age = Age of the -
TME Volume 5, Numbers 2 and 3
The Mathematics Enthusiast Volume 5 Number 2 Numbers 2 & 3 Article 27 7-2008 TME Volume 5, Numbers 2 and 3 Follow this and additional works at: https://scholarworks.umt.edu/tme Part of the Mathematics Commons Let us know how access to this document benefits ou.y Recommended Citation (2008) "TME Volume 5, Numbers 2 and 3," The Mathematics Enthusiast: Vol. 5 : No. 2 , Article 27. Available at: https://scholarworks.umt.edu/tme/vol5/iss2/27 This Full Volume is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in The Mathematics Enthusiast by an authorized editor of ScholarWorks at University of Montana. For more information, please contact [email protected]. The Montana Mathematics Enthusiast ISSN 1551-3440 VOL. 5, NOS.2&3, JULY 2008, pp.167-462 Editor-in-Chief Bharath Sriraman, The University of Montana Associate Editors: Lyn D. English, Queensland University of Technology, Australia Claus Michelsen, University of Southern Denmark, Denmark Brian Greer, Portland State University, USA Luis Moreno-Armella, University of Massachusetts-Dartmouth International Editorial Advisory Board Miriam Amit, Ben-Gurion University of the Negev, Israel. Ziya Argun, Gazi University, Turkey. Ahmet Arikan, Gazi University, Turkey. Astrid Beckmann, University of Education, Schwäbisch Gmünd, Germany. John Berry, University of Plymouth,UK. Morten Blomhøj, Roskilde University, Denmark. Robert Carson, Montana State University- Bozeman, USA. Mohan Chinnappan, University of Wollongong, Australia. Constantinos Christou, University of Cyprus, Cyprus. Bettina Dahl Søndergaard, University of Aarhus, Denmark. Helen Doerr, Syracuse University, USA. Ted Eisenberg, Ben-Gurion University of the Negev, Israel.