Jeremy Gray from Algebraic Equations to Modern Algebra
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1. Make Sense of Problems and Persevere in Solving Them. Mathematically Proficient Students Start by Explaining to Themselves T
1. Make sense of problems and persevere in solving them. Mathematically proficient students start by explaining to themselves the meaning of a problem and looking for entry points to its solution. They analyze givens, constraints, relationships, and goals. They make conjectures about the form and meaning of the solution and plan a solution pathway rather than simply jumping into a solution attempt. They consider analogous problems, and try special cases and simpler forms of the original problem in order to gain insight into its solution. They monitor and evaluate their progress and change course if necessary. Older students might, depending on the context of the problem, transform algebraic expressions or change the viewing window on their graphing calculator to get the information they need. Mathematically proficient students can explain correspondences between equations, verbal descriptions, tables, and graphs or draw diagrams of important features and relationships, graph data, and search for regularity or trends. Younger students might rely on using concrete objects or pictures to help conceptualize and solve a problem. Mathematically proficient students check their answers to problems using a different method, and they continually ask themselves, “Does this make sense?” They can understand the approaches of others to solving complex problems and identify correspondences between different approaches. 2. Reason abstractly and quantitatively. Mathematically proficient students make sense of quantities and their relationships in problem situations. They bring two complementary abilities to bear on problems involving quantitative relationships: the ability to decontextualize —to abstract a given situation and represent it symbolically and manipulate the representing symbols as if they have a life of their own, without necessarily attending to their referents—and the ability to contextualize , to pause as needed during the manipulation process in order to probe into the referents for the symbols involved. -
Higher Mathematics
; HIGHER MATHEMATICS Chapter I. THE SOLUTION OF EQUATIONS. By Mansfield Merriman, Professor of Civil Engineering in Lehigh University. Art. 1. Introduction. In this Chapter will be presented a brief outline of methods, not commonly found in text-books, for the solution of an equation containing one unknown quantity. Graphic, numeric, and algebraic solutions will be given by which the real roots of both algebraic and transcendental equations may be ob- tained, together with historical information and theoretic discussions. An algebraic equation is one that involves only the opera- tions of arithmetic. It is to be first freed from radicals so as to make the exponents of the unknown quantity all integers the degree of the equation is then indicated by the highest ex- ponent of the unknown quantity. The algebraic solution of an algebraic equation is the expression of its roots in terms of literal is the coefficients ; this possible, in general, only for linear, quadratic, cubic, and quartic equations, that is, for equations of the first, second, third, and fourth degrees. A numerical equation is an algebraic equation having all its coefficients real numbers, either positive or negative. For the four degrees 2 THE SOLUTION OF EQUATIONS. [CHAP. I. above mentioned the roots of numerical equations may be computed from the formulas for the algebraic solutions, unless they fall under the so-called irreducible case wherein real quantities are expressed in imaginary forms. An algebraic equation of the n th degree may be written with all its terms transposed to the first member, thus: n- 1 2 x" a x a,x"- . -
Section X.56. Insolvability of the Quintic
X.56 Insolvability of the Quintic 1 Section X.56. Insolvability of the Quintic Note. Now is a good time to reread the first set of notes “Why the Hell Am I in This Class?” As we have claimed, there is the quadratic formula to solve all polynomial equations ax2 +bx+c = 0 (in C, say), there is a cubic equation to solve ax3+bx2+cx+d = 0, and there is a quartic equation to solve ax4+bx3+cx2+dx+e = 0. However, there is not a general algebraic equation which solves the quintic ax5 + bx4 + cx3 + dx2 + ex + f = 0. We now have the equipment to establish this “insolvability of the quintic,” as well as a way to classify which polynomial equations can be solved algebraically (that is, using a finite sequence of operations of addition [or subtraction], multiplication [or division], and taking of roots [or raising to whole number powers]) in a field F . Definition 56.1. An extension field K of a field F is an extension of F by radicals if there are elements α1, α2,...,αr ∈ K and positive integers n1,n2,...,nr such that n1 ni K = F (α1, α2,...,αr), where α1 ∈ F and αi ∈ F (α1, α2,...,αi−1) for 1 <i ≤ r. A polynomial f(x) ∈ F [x] is solvable by radicals over F if the splitting field E of f(x) over F is contained in an extension of F by radicals. n1 Note. The idea in this definition is that F (α1) includes the n1th root of α1 ∈ F . -
Arxiv:2106.01162V1 [Math.HO] 27 May 2021 Shine Conference in Kashiwa” 1 and Contain a Number of New Perspectives and Ob- Servations on Monstrous Moonshine
Kashiwa Lectures on New Approaches to the Monster John McKay1 edited and annotated by Yang-Hui He2;3;4;5 1 CICMA & Department of Mathematics and Statistics, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, H3G 1M8, Canada 2 London Institute for Mathematical Sciences, Royal Institution of Great Britain, 21 Albemarle Street, Mayfair, London W1S 4BS, UK; 3 Merton College, University of Oxford, OX14JD, UK; 4 Department of Mathematics, City, University of London, EC1V 0HB, UK; 5 School of Physics, NanKai University, Tianjin, 300071, P.R. China [email protected] [email protected] Abstract These notes stem from lectures given by the first author (JM) at the 2008 \Moon- arXiv:2106.01162v1 [math.HO] 27 May 2021 shine Conference in Kashiwa" 1 and contain a number of new perspectives and ob- servations on Monstrous Moonshine. Because many new points have not appeared anywhere in print, it is thought expedient to update, annotate and clarify them (as footnotes), an editorial task which the second author (YHH) is more than delighted to undertake. We hope the various puzzles and correspondences, delivered in a personal and casual manner, will serve as diversions intriguing to the community. 1Organized by the Institute for the Physics and Mathematics of the Universe (IPMU) under the support of the Graduate School of Mathematical Sciences, the University of Tokyo. 1 Contents 1 Introduction 3 1.1 Resources . 3 1.2 Talk Outline . 5 1.3 Where to Start ? . 6 2 Monstrous Moonshine 9 2.1 Primes in the Monster's Order . 10 2.2 Balance . -
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]. -
Arxiv:2105.14305V1 [Cs.CG] 29 May 2021
Efficient Folding Algorithms for Regular Polyhedra ∗ Tonan Kamata1 Akira Kadoguchi2 Takashi Horiyama3 Ryuhei Uehara1 1 School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan fkamata,[email protected] 2 Intelligent Vision & Image Systems (IVIS), Tokyo, Japan [email protected] 3 Faculty of Information Science and Technology, Hokkaido University, Hokkaido, Japan [email protected] Abstract We investigate the folding problem that asks if a polygon P can be folded to a polyhedron Q for given P and Q. Recently, an efficient algorithm for this problem has been developed when Q is a box. We extend this idea to regular polyhedra, also known as Platonic solids. The basic idea of our algorithms is common, which is called stamping. However, the computational complexities of them are different depending on their geometric properties. We developed four algorithms for the problem as follows. (1) An algorithm for a regular tetrahedron, which can be extended to a tetramonohedron. (2) An algorithm for a regular hexahedron (or a cube), which is much efficient than the previously known one. (3) An algorithm for a general deltahedron, which contains the cases that Q is a regular octahedron or a regular icosahedron. (4) An algorithm for a regular dodecahedron. Combining these algorithms, we can conclude that the folding problem can be solved pseudo-polynomial time when Q is a regular polyhedron and other related solid. Keywords: Computational origami folding problem pseudo-polynomial time algorithm regular poly- hedron (Platonic solids) stamping 1 Introduction In 1525, the German painter Albrecht D¨urerpublished his masterwork on geometry [5], whose title translates as \On Teaching Measurement with a Compass and Straightedge for lines, planes, and whole bodies." In the book, he presented each polyhedron by drawing a net, which is an unfolding of the surface of the polyhedron to a planar layout without overlapping by cutting along its edges. -
Convex Polytopes and Tilings with Few Flag Orbits
Convex Polytopes and Tilings with Few Flag Orbits by Nicholas Matteo B.A. in Mathematics, Miami University M.A. in Mathematics, Miami University A dissertation submitted to The Faculty of the College of Science of Northeastern University in partial fulfillment of the requirements for the degree of Doctor of Philosophy April 14, 2015 Dissertation directed by Egon Schulte Professor of Mathematics Abstract of Dissertation The amount of symmetry possessed by a convex polytope, or a tiling by convex polytopes, is reflected by the number of orbits of its flags under the action of the Euclidean isometries preserving the polytope. The convex polytopes with only one flag orbit have been classified since the work of Schläfli in the 19th century. In this dissertation, convex polytopes with up to three flag orbits are classified. Two-orbit convex polytopes exist only in two or three dimensions, and the only ones whose combinatorial automorphism group is also two-orbit are the cuboctahedron, the icosidodecahedron, the rhombic dodecahedron, and the rhombic triacontahedron. Two-orbit face-to-face tilings by convex polytopes exist on E1, E2, and E3; the only ones which are also combinatorially two-orbit are the trihexagonal plane tiling, the rhombille plane tiling, the tetrahedral-octahedral honeycomb, and the rhombic dodecahedral honeycomb. Moreover, any combinatorially two-orbit convex polytope or tiling is isomorphic to one on the above list. Three-orbit convex polytopes exist in two through eight dimensions. There are infinitely many in three dimensions, including prisms over regular polygons, truncated Platonic solids, and their dual bipyramids and Kleetopes. There are infinitely many in four dimensions, comprising the rectified regular 4-polytopes, the p; p-duoprisms, the bitruncated 4-simplex, the bitruncated 24-cell, and their duals. -
Computer-Aided Design Disjointed Force Polyhedra
Computer-Aided Design 99 (2018) 11–28 Contents lists available at ScienceDirect Computer-Aided Design journal homepage: www.elsevier.com/locate/cad Disjointed force polyhedraI Juney Lee *, Tom Van Mele, Philippe Block ETH Zurich, Institute of Technology in Architecture, Block Research Group, Stefano-Franscini-Platz 1, HIB E 45, CH-8093 Zurich, Switzerland article info a b s t r a c t Article history: This paper presents a new computational framework for 3D graphic statics based on the concept of Received 3 November 2017 disjointed force polyhedra. At the core of this framework are the Extended Gaussian Image and area- Accepted 10 February 2018 pursuit algorithms, which allow more precise control of the face areas of force polyhedra, and conse- quently of the magnitudes and distributions of the forces within the structure. The explicit control of the Keywords: polyhedral face areas enables designers to implement more quantitative, force-driven constraints and it Three-dimensional graphic statics expands the range of 3D graphic statics applications beyond just shape explorations. The significance and Polyhedral reciprocal diagrams Extended Gaussian image potential of this new computational approach to 3D graphic statics is demonstrated through numerous Polyhedral reconstruction examples, which illustrate how the disjointed force polyhedra enable force-driven design explorations of Spatial equilibrium new structural typologies that were simply not realisable with previous implementations of 3D graphic Constrained form finding statics. ' 2018 Elsevier Ltd. All rights reserved. 1. Introduction such as constant-force trusses [6]. However, in 3D graphic statics using polyhedral reciprocal diagrams, the influence of changing Recent extensions of graphic statics to three dimensions have the geometry of the force polyhedra on the force magnitudes is shown how the static equilibrium of spatial systems of forces not as direct or intuitive. -
A Student's Question: Why the Hell Am I in This Class?
Why Are We In This Class? 1 A Student’s Question: Why The Hell Am I In This Class? Note. Mathematics of the current era consists of the broad areas of (1) geometry, (2) analysis, (3) discrete math, and (4) algebra. This is an oversimplification; this is not a complete list and these areas are not disjoint. You are familiar with geometry from your high school experience, and analysis is basically the study of calculus in a rigorous/axiomatic way. You have probably encountered some of the topics from discrete math (graphs, networks, Latin squares, finite geometries, number theory). However, surprisingly, this is likely your first encounter with areas of algebra (in the modern sense). Modern algebra is roughly 100–200 years old, with most of the ideas originally developed in the nineteenth century and brought to rigorous completion in the twentieth century. Modern algebra is the study of groups, rings, and fields. However, these ideas grow out of the classical ideas of algebra from your previous experience (primarily, polynomial equations). The purpose of this presentation is to link the topics of classical algebra to the topics of modern algebra. Babylonian Mathematics The ancient city of Babylon was located in the southern part of Mesopotamia, about 50 miles south of present day Baghdad, Iraq. Clay tablets containing a type of writing called “cuneiform” survive from Babylonian times, and some of them reflect that the Babylonians had a sophisticated knowledge of certain mathematical ideas, some geometric and some arithmetic. [Bardi, page 28] Why Are We In This Class? 2 The best known surviving tablet with mathematical content is known as Plimp- ton 322. -
Visualization of Regular Maps
Symmetric Tiling of Closed Surfaces: Visualization of Regular Maps Jarke J. van Wijk Dept. of Mathematics and Computer Science Technische Universiteit Eindhoven [email protected] Abstract The first puzzle is trivial: We get a cube, blown up to a sphere, which is an example of a regular map. A cube is 2×4×6 = 48-fold A regular map is a tiling of a closed surface into faces, bounded symmetric, since each triangle shown in Figure 1 can be mapped to by edges that join pairs of vertices, such that these elements exhibit another one by rotation and turning the surface inside-out. We re- a maximal symmetry. For genus 0 and 1 (spheres and tori) it is quire for all solutions that they have such a 2pF -fold symmetry. well known how to generate and present regular maps, the Platonic Puzzle 2 to 4 are not difficult, and lead to other examples: a dodec- solids are a familiar example. We present a method for the gener- ahedron; a beach ball, also known as a hosohedron [Coxeter 1989]; ation of space models of regular maps for genus 2 and higher. The and a torus, obtained by making a 6 × 6 checkerboard, followed by method is based on a generalization of the method for tori. Shapes matching opposite sides. The next puzzles are more challenging. with the proper genus are derived from regular maps by tubifica- tion: edges are replaced by tubes. Tessellations are produced us- ing group theory and hyperbolic geometry. The main results are a generic procedure to produce such tilings, and a collection of in- triguing shapes and images. -
Algebraic Solution of Nonlinear Equation Systems in REDUCE
Algebraic Solution of Nonlinear Equation Systems in REDUCE Herbert Melenk∗ A modern computer algebra system (CAS) is primarily a workbench offering an extensive set of computational tools from various field of mathematics and engineering. As most of these tools have an advanced and complicated theoretical background they often are hard for an unexperienced user to apply successfully. The idea of a SOLV E facility in a CAS is to find solutions for mathematical problems by applying the available tools in an automatic and invisible manner. In REDUCE the functionality of SOLVE has grown over the last years to an important extent. In the circle of REDUCE developers the Konrad–Zuse–Zentrum Berlin (ZIB) has been engaged in the field of solving nonlinear algebraic equation systems, a typical task for a CAS. The algebraic kernel for such computations is Buchberger’s algorithm for com- puting Gr¨obner bases and related techniques, published in 1966, first introduced in REDUCE 3.3 (1988) and substantially revised and extended in several steps for RE- DUCE 3.4 (1991). This version also organized for the first time the automatical invo- cation of Gr¨obner bases for the solution of pure polynomial systems in the context of REDUCE’s SOLVE command. In the meantime the range of automatically soluble system has been enlarged substan- tially. This report describes the algorithms and techniques which have been implemented in this context. Parts of the new features have been incorporated in REDUCE 3.4.1 (in July 1992), the rest will become available in the following release. E-mail address: [email protected] 1 Some of the developments have been encouraged to an important extent by colleagues who use these modules for their research, especially Hubert Caprasse (Li`ege) [4] and Jarmo Hietarinta (Turku) [10]. -
Polytope 335 and the Qi Men Dun Jia Model
Polytope 335 and the Qi Men Dun Jia Model By John Frederick Sweeney Abstract Polytope (3,3,5) plays an extremely crucial role in the transformation of visible matter, as well as in the structure of Time. Polytope (3,3,5) helps to determine whether matter follows the 8 x 8 Satva path or the 9 x 9 Raja path of development. Polytope (3,3,5) on a micro scale determines the development path of matter, while Polytope (3,3,5) on a macro scale determines the geography of Time, given its relationship to Base 60 math and to the icosahedron. Yet the Hopf Fibration is needed to form Poytope (3,3,5). This paper outlines the series of interchanges between root lattices and the three types of Hopf Fibrations in the formation of quasi – crystals. 1 Table of Contents Introduction 3 R.B. King on Root Lattices and Quasi – Crystals 4 John Baez on H3 and H4 Groups 23 Conclusion 32 Appendix 33 Bibliography 34 2 Introduction This paper introduces the formation of Polytope (3,3,5) and the role of the Real Hopf Fibration, the Complex and the Quarternion Hopf Fibration in the formation of visible matter. The author has found that even degrees or dimensions host root lattices and stable forms, while odd dimensions host Hopf Fibrations. The Hopf Fibration is a necessary structure in the formation of Polytope (3,3,5), and so it appears that the three types of Hopf Fibrations mentioned above form an intrinsic aspect of the formation of matter via root lattices.