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On Stochastic Distributions and Currents
NISSUNA UMANA INVESTIGAZIONE SI PUO DIMANDARE VERA SCIENZIA S’ESSA NON PASSA PER LE MATEMATICHE DIMOSTRAZIONI LEONARDO DA VINCI vol. 4 no. 3-4 2016 Mathematics and Mechanics of Complex Systems VINCENZO CAPASSO AND FRANCO FLANDOLI ON STOCHASTIC DISTRIBUTIONS AND CURRENTS msp MATHEMATICS AND MECHANICS OF COMPLEX SYSTEMS Vol. 4, No. 3-4, 2016 dx.doi.org/10.2140/memocs.2016.4.373 ∩ MM ON STOCHASTIC DISTRIBUTIONS AND CURRENTS VINCENZO CAPASSO AND FRANCO FLANDOLI Dedicated to Lucio Russo, on the occasion of his 70th birthday In many applications, it is of great importance to handle random closed sets of different (even though integer) Hausdorff dimensions, including local infor- mation about initial conditions and growth parameters. Following a standard approach in geometric measure theory, such sets may be described in terms of suitable measures. For a random closed set of lower dimension with respect to the environment space, the relevant measures induced by its realizations are sin- gular with respect to the Lebesgue measure, and so their usual Radon–Nikodym derivatives are zero almost everywhere. In this paper, how to cope with these difficulties has been suggested by introducing random generalized densities (dis- tributions) á la Dirac–Schwarz, for both the deterministic case and the stochastic case. For the last one, mean generalized densities are analyzed, and they have been related to densities of the expected values of the relevant measures. Ac- tually, distributions are a subclass of the larger class of currents; in the usual Euclidean space of dimension d, currents of any order k 2 f0; 1;:::; dg or k- currents may be introduced. -
Writing Mathematical Expressions in Plain Text – Examples and Cautions Copyright © 2009 Sally J
Writing Mathematical Expressions in Plain Text – Examples and Cautions Copyright © 2009 Sally J. Keely. All Rights Reserved. Mathematical expressions can be typed online in a number of ways including plain text, ASCII codes, HTML tags, or using an equation editor (see Writing Mathematical Notation Online for overview). If the application in which you are working does not have an equation editor built in, then a common option is to write expressions horizontally in plain text. In doing so you have to format the expressions very carefully using appropriately placed parentheses and accurate notation. This document provides examples and important cautions for writing mathematical expressions in plain text. Section 1. How to Write Exponents Just as on a graphing calculator, when writing in plain text the caret key ^ (above the 6 on a qwerty keyboard) means that an exponent follows. For example x2 would be written as x^2. Example 1a. 4xy23 would be written as 4 x^2 y^3 or with the multiplication mark as 4*x^2*y^3. Example 1b. With more than one item in the exponent you must enclose the entire exponent in parentheses to indicate exactly what is in the power. x2n must be written as x^(2n) and NOT as x^2n. Writing x^2n means xn2 . Example 1c. When using the quotient rule of exponents you often have to perform subtraction within an exponent. In such cases you must enclose the entire exponent in parentheses to indicate exactly what is in the power. x5 The middle step of ==xx52− 3 must be written as x^(5-2) and NOT as x^5-2 which means x5 − 2 . -
SOME ALGEBRAIC DEFINITIONS and CONSTRUCTIONS Definition
SOME ALGEBRAIC DEFINITIONS AND CONSTRUCTIONS Definition 1. A monoid is a set M with an element e and an associative multipli- cation M M M for which e is a two-sided identity element: em = m = me for all m M×. A−→group is a monoid in which each element m has an inverse element m−1, so∈ that mm−1 = e = m−1m. A homomorphism f : M N of monoids is a function f such that f(mn) = −→ f(m)f(n) and f(eM )= eN . A “homomorphism” of any kind of algebraic structure is a function that preserves all of the structure that goes into the definition. When M is commutative, mn = nm for all m,n M, we often write the product as +, the identity element as 0, and the inverse of∈m as m. As a convention, it is convenient to say that a commutative monoid is “Abelian”− when we choose to think of its product as “addition”, but to use the word “commutative” when we choose to think of its product as “multiplication”; in the latter case, we write the identity element as 1. Definition 2. The Grothendieck construction on an Abelian monoid is an Abelian group G(M) together with a homomorphism of Abelian monoids i : M G(M) such that, for any Abelian group A and homomorphism of Abelian monoids−→ f : M A, there exists a unique homomorphism of Abelian groups f˜ : G(M) A −→ −→ such that f˜ i = f. ◦ We construct G(M) explicitly by taking equivalence classes of ordered pairs (m,n) of elements of M, thought of as “m n”, under the equivalence relation generated by (m,n) (m′,n′) if m + n′ = −n + m′. -
MTH 620: 2020-04-28 Lecture
MTH 620: 2020-04-28 lecture Alexandru Chirvasitu Introduction In this (last) lecture we'll mix it up a little and do some topology along with the homological algebra. I wanted to bring up the cohomology of profinite groups if only briefly, because we discussed these in MTH619 in the context of Galois theory. Consider this as us connecting back to that material. 1 Topological and profinite groups This is about the cohomology of profinite groups; we discussed these briefly in MTH619 during Fall 2019, so this will be a quick recollection. First things first though: Definition 1.1 A topological group is a group G equipped with a topology, such that both the multiplication G × G ! G and the inverse map g 7! g−1 are continuous. Unless specified otherwise, all of our topological groups will be assumed separated (i.e. Haus- dorff) as topological spaces. Ordinary, plain old groups can be regarded as topological groups equipped with the discrete topology (i.e. so that all subsets are open). When I want to be clear we're considering plain groups I might emphasize that by referring to them as `discrete groups'. The main concepts we will work with are covered by the following two definitions (or so). Definition 1.2 A profinite group is a compact (and as always for us, Hausdorff) topological group satisfying any of the following equivalent conditions: Q G embeds as a closed subgroup into a product i2I Gi of finite groups Gi, equipped with the usual product topology; For every open neighborhood U of the identity 1 2 G there is a normal, open subgroup N E G contained in U. -
Arxiv:2011.03427V2 [Math.AT] 12 Feb 2021 Riae Fmp Ffiiest.W Eosrt Hscategor This Demonstrate We Sets
HYPEROCTAHEDRAL HOMOLOGY FOR INVOLUTIVE ALGEBRAS DANIEL GRAVES Abstract. Hyperoctahedral homology is the homology theory associated to the hyperoctahe- dral crossed simplicial group. It is defined for involutive algebras over a commutative ring using functor homology and the hyperoctahedral bar construction of Fiedorowicz. The main result of the paper proves that hyperoctahedral homology is related to equivariant stable homotopy theory: for a discrete group of odd order, the hyperoctahedral homology of the group algebra is isomorphic to the homology of the fixed points under the involution of an equivariant infinite loop space built from the classifying space of the group. Introduction Hyperoctahedral homology for involutive algebras was introduced by Fiedorowicz [Fie, Sec- tion 2]. It is the homology theory associated to the hyperoctahedral crossed simplicial group [FL91, Section 3]. Fiedorowicz and Loday [FL91, 6.16] had shown that the homology theory constructed from the hyperoctahedral crossed simplicial group via a contravariant bar construc- tion, analogously to cyclic homology, was isomorphic to Hochschild homology and therefore did not detect the action of the hyperoctahedral groups. Fiedorowicz demonstrated that a covariant bar construction did detect this action and sketched results connecting the hyperoctahedral ho- mology of monoid algebras and group algebras to May’s two-sided bar construction and infinite loop spaces, though these were never published. In Section 1 we recall the hyperoctahedral groups. We recall the hyperoctahedral category ∆H associated to the hyperoctahedral crossed simplicial group. This category encodes an involution compatible with an order-preserving multiplication. We introduce the category of involutive non-commutative sets, which encodes the same information by adding data to the preimages of maps of finite sets. -
10 Heat Equation: Interpretation of the Solution
Math 124A { October 26, 2011 «Viktor Grigoryan 10 Heat equation: interpretation of the solution Last time we considered the IVP for the heat equation on the whole line u − ku = 0 (−∞ < x < 1; 0 < t < 1); t xx (1) u(x; 0) = φ(x); and derived the solution formula Z 1 u(x; t) = S(x − y; t)φ(y) dy; for t > 0; (2) −∞ where S(x; t) is the heat kernel, 1 2 S(x; t) = p e−x =4kt: (3) 4πkt Substituting this expression into (2), we can rewrite the solution as 1 1 Z 2 u(x; t) = p e−(x−y) =4ktφ(y) dy; for t > 0: (4) 4πkt −∞ Recall that to derive the solution formula we first considered the heat IVP with the following particular initial data 1; x > 0; Q(x; 0) = H(x) = (5) 0; x < 0: Then using dilation invariance of the Heaviside step function H(x), and the uniquenessp of solutions to the heat IVP on the whole line, we deduced that Q depends only on the ratio x= t, which lead to a reduction of the heat equation to an ODE. Solving the ODE and checking the initial condition (5), we arrived at the following explicit solution p x= 4kt 1 1 Z 2 Q(x; t) = + p e−p dp; for t > 0: (6) 2 π 0 The heat kernel S(x; t) was then defined as the spatial derivative of this particular solution Q(x; t), i.e. @Q S(x; t) = (x; t); (7) @x and hence it also solves the heat equation by the differentiation property. -
Chapter 3 Proofs
Chapter 3 Proofs Many mathematical proofs use a small range of standard outlines: direct proof, examples/counter-examples, and proof by contrapositive. These notes explain these basic proof methods, as well as how to use definitions of new concepts in proofs. More advanced methods (e.g. proof by induction, proof by contradiction) will be covered later. 3.1 Proving a universal statement Now, let’s consider how to prove a claim like For every rational number q, 2q is rational. First, we need to define what we mean by “rational”. A real number r is rational if there are integers m and n, n = 0, such m that r = n . m In this definition, notice that the fraction n does not need to satisfy conditions like being proper or in lowest terms So, for example, zero is rational 0 because it can be written as 1 . However, it’s critical that the two numbers 27 CHAPTER 3. PROOFS 28 in the fraction be integers, since even irrational numbers can be written as π fractions with non-integers on the top and/or bottom. E.g. π = 1 . The simplest technique for proving a claim of the form ∀x ∈ A, P (x) is to pick some representative value for x.1. Think about sticking your hand into the set A with your eyes closed and pulling out some random element. You use the fact that x is an element of A to show that P (x) is true. Here’s what it looks like for our example: Proof: Let q be any rational number. -
The Recent Trademarking of Pi: a Troubling Precedent
The recent trademarking of Pi: a troubling precedent Jonathan M. Borwein∗ David H. Baileyy July 15, 2014 1 Background Intellectual property law is complex and varies from jurisdiction to jurisdiction, but, roughly speaking, creative works can be copyrighted, while inventions and processes can be patented, and brand names thence protected. In each case the intention is to protect the value of the owner's work or possession. For the most part mathematics is excluded by the Berne convention [1] of the World Intellectual Property Organization WIPO [12]. An unusual exception was the successful patenting of Gray codes in 1953 [3]. More usual was the carefully timed Pi Day 2012 dismissal [6] by a US judge of a copyright infringement suit regarding π, since \Pi is a non-copyrightable fact." We mathematicians have largely ignored patents and, to the degree we care at all, have been more concerned about copyright as described in the work of the International Mathematical Union's Committee on Electronic Information and Communication (CEIC) [2].1 But, as the following story indicates, it may now be time for mathematicians to start paying attention to patenting. 2 Pi period (π:) In January 2014, the U.S. Patent and Trademark Office granted Brooklyn artist Paul Ingrisano a trademark on his design \consisting of the Greek letter Pi, followed by a period." It should be noted here that there is nothing stylistic or in any way particular in Ingrisano's trademark | it is simply a standard Greek π letter, followed by a period. That's it | π period. No one doubts the enormous value of Apple's partly-eaten apple or the MacDonald's arch. -
Structure Theory of Set Addition
Structure Theory of Set Addition Notes by B. J. Green1 ICMS Instructional Conference in Combinatorial Aspects of Mathematical Analysis, Edinburgh March 25 { April 5 2002. 1 Lecture 1: Pl¨unnecke's Inequalities 1.1 Introduction The object of these notes is to explain a recent proof by Ruzsa of a famous result of Freiman, some significant modifications of Ruzsa's proof due to Chang, and all the background material necessary to understand these arguments. Freiman's theorem concerns the structure of sets with small sumset. Let A be a subset of an abelian group G, and define the sumset A + A to be the set of all pairwise sums a + a0, where a; a0 are (not necessarily distinct) elements of A. If A = n then A + A n, and equality can occur (for example if A is a subgroup of G).j Inj the otherj directionj ≥ we have A + A n(n + 1)=2, and equality can occur here too, for example when G = Z and j j ≤ 2 n 1 A = 1; 3; 3 ;:::; 3 − . It is easy to construct similar examples of sets with large sumset, but ratherf harder to findg examples with A + A small. Let us think more carefully about this problem in the special case G = Z. Proposition 1 Let A Z have size n. Then A + A 2n 1, with equality if and only if A is an arithmetic progression⊆ of length n. j j ≥ − Proof. Write A = a1; : : : ; an where a1 < a2 < < an. Then we have f g ··· a1 + a1 < a1 + a2 < < a1 + an < a2 + an < < an + an; ··· ··· which amounts to an exhibition of 2n 1 distinct elements of A + A. -
Fundamentals of Mathematics Lecture 3: Mathematical Notation Guan-Shieng Fundamentals of Mathematics Huang Lecture 3: Mathematical Notation References
Fundamentals of Mathematics Lecture 3: Mathematical Notation Guan-Shieng Fundamentals of Mathematics Huang Lecture 3: Mathematical Notation References Guan-Shieng Huang National Chi Nan University, Taiwan Spring, 2008 1 / 22 Greek Letters I Fundamentals of Mathematics 1 A, α, Alpha Lecture 3: Mathematical 2 B, β, Beta Notation Guan-Shieng 3 Γ, γ, Gamma Huang 4 ∆, δ, Delta References 5 E, , Epsilon 6 Z, ζ, Zeta 7 H, η, Eta 8 Θ, θ, Theta 9 I , ι, Iota 10 K, κ, Kappa 11 Λ, λ, Lambda 12 M, µ, Mu 2 / 22 Greek Letters II Fundamentals 13 of N, ν, Nu Mathematics Lecture 3: 14 Ξ, ξ, Xi Mathematical Notation 15 O, o, Omicron Guan-Shieng Huang 16 Π, π, Pi References 17 P, ρ, Rho 18 Σ, σ, Sigma 19 T , τ, Tau 20 Υ, υ, Upsilon 21 Φ, φ, Phi 22 X , χ, Chi 23 Ψ, ψ, Psi 24 Ω, ω, Omega 3 / 22 Logic I Fundamentals of • Conjunction: p ∧ q, p · q, p&q (p and q) Mathematics Lecture 3: Mathematical • Disjunction: p ∨ q, p + q, p|q (p or q) Notation • Conditional: p → q, p ⇒ q, p ⊃ q (p implies q) Guan-Shieng Huang • Biconditional: p ↔ q, p ⇔ q (p if and only if q) References • Exclusive-or: p ⊕ q, p + q • Universal quantifier: ∀ (for all) • Existential quantifier: ∃ (there is, there exists) • Unique existential quantifier: ∃! 4 / 22 Logic II Fundamentals of Mathematics Lecture 3: Mathematical Notation Guan-Shieng • p → q ≡ ¬p ∨ q Huang • ¬(p ∨ q) ≡ ¬p ∧ ¬q, ¬(p ∧ q) ≡ ¬p ∨ ¬q References • ¬∀x P(x) ≡ ∃x ¬P(x), ¬∃x P(x) ≡ ∀x ¬P(x) • ∀x ∃y P(x, y) 6≡ ∃y ∀x P(x, y) in general • p ⊕ q ≡ (p ∧ ¬q) ∨ (¬p ∧ q) 5 / 22 Set Theory I Fundamentals of Mathematics • Empty set: ∅, {} Lecture 3: Mathematical • roster: S = {a , a ,..., a } Notation 1 2 n Guan-Shieng defining predicate: S = {x| P(x)} where P is a predicate Huang recursive description References • N: natural numbers Z: integers R: real numbers C: complex numbers • Two sets A and B are equal if x ∈ A ⇔ x ∈ B. -
Delta Functions and Distributions
When functions have no value(s): Delta functions and distributions Steven G. Johnson, MIT course 18.303 notes Created October 2010, updated March 8, 2017. Abstract x = 0. That is, one would like the function δ(x) = 0 for all x 6= 0, but with R δ(x)dx = 1 for any in- These notes give a brief introduction to the mo- tegration region that includes x = 0; this concept tivations, concepts, and properties of distributions, is called a “Dirac delta function” or simply a “delta which generalize the notion of functions f(x) to al- function.” δ(x) is usually the simplest right-hand- low derivatives of discontinuities, “delta” functions, side for which to solve differential equations, yielding and other nice things. This generalization is in- a Green’s function. It is also the simplest way to creasingly important the more you work with linear consider physical effects that are concentrated within PDEs, as we do in 18.303. For example, Green’s func- very small volumes or times, for which you don’t ac- tions are extremely cumbersome if one does not al- tually want to worry about the microscopic details low delta functions. Moreover, solving PDEs with in this volume—for example, think of the concepts of functions that are not classically differentiable is of a “point charge,” a “point mass,” a force plucking a great practical importance (e.g. a plucked string with string at “one point,” a “kick” that “suddenly” imparts a triangle shape is not twice differentiable, making some momentum to an object, and so on. -
Table of Mathematical Symbols = ≠ <> != < > ≪ ≫ ≤ <=
Table of mathematical symbols - Wikipedia, the free encyclopedia Página 1 de 13 Table of mathematical symbols From Wikipedia, the free encyclopedia For the HTML codes of mathematical symbols see mathematical HTML. Note: This article contains special characters. The following table lists many specialized symbols commonly used in mathematics. Basic mathematical symbols Name Symbol Read as Explanation Examples Category equality x = y means x and y is equal to; represent the same 1 + 1 = 2 = equals thing or value. everywhere ≠ inequation x ≠ y means that x and y do not represent the same thing or value. is not equal to; 1 ≠ 2 does not equal (The symbols != and <> <> are primarily from computer science. They are avoided in != everywhere mathematical texts. ) < strict inequality x < y means x is less than y. > is less than, is x > y means x is greater 3 < 4 greater than, is than y. 5 > 4. much less than, is much greater x ≪ y means x is much 0.003 ≪ 1000000 ≪ than less than y. x ≫ y means x is much greater than y. ≫ order theory inequality x ≤ y means x is less than or equal to y. ≤ x ≥ y means x is <= is less than or greater than or equal to http://en.wikipedia.org/wiki/Table_of_mathematical_symbols 16/05/2007 Table of mathematical symbols - Wikipedia, the free encyclopedia Página 2 de 13 equal to, is y. greater than or The symbols and equal to ( <= 3 ≤ 4 and 5 ≤ 5 ≥ >= are primarily from 5 ≥ 4 and 5 ≥ 5 computer science. They >= order theory are avoided in mathematical texts.