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Arithmetic Equivalence and Isospectrality
ARITHMETIC EQUIVALENCE AND ISOSPECTRALITY ANDREW V.SUTHERLAND ABSTRACT. In these lecture notes we give an introduction to the theory of arithmetic equivalence, a notion originally introduced in a number theoretic setting to refer to number fields with the same zeta function. Gassmann established a direct relationship between arithmetic equivalence and a purely group theoretic notion of equivalence that has since been exploited in several other areas of mathematics, most notably in the spectral theory of Riemannian manifolds by Sunada. We will explicate these results and discuss some applications and generalizations. 1. AN INTRODUCTION TO ARITHMETIC EQUIVALENCE AND ISOSPECTRALITY Let K be a number field (a finite extension of Q), and let OK be its ring of integers (the integral closure of Z in K). The Dedekind zeta function of K is defined by the Dirichlet series X s Y s 1 ζK (s) := N(I)− = (1 N(p)− )− I OK p − ⊆ where the sum ranges over nonzero OK -ideals, the product ranges over nonzero prime ideals, and N(I) := [OK : I] is the absolute norm. For K = Q the Dedekind zeta function ζQ(s) is simply the : P s Riemann zeta function ζ(s) = n 1 n− . As with the Riemann zeta function, the Dirichlet series (and corresponding Euler product) defining≥ the Dedekind zeta function converges absolutely and uniformly to a nonzero holomorphic function on Re(s) > 1, and ζK (s) extends to a meromorphic function on C and satisfies a functional equation, as shown by Hecke [25]. The Dedekind zeta function encodes many features of the number field K: it has a simple pole at s = 1 whose residue is intimately related to several invariants of K, including its class number, and as with the Riemann zeta function, the zeros of ζK (s) are intimately related to the distribution of prime ideals in OK . -
Finitely Generated Pro-P Galois Groups of P-Henselian Fields
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF PURE AND APPLIED ALGEBRA ELSEYIER Journal of Pure and Applied Algebra 138 (1999) 215-228 Finitely generated pro-p Galois groups of p-Henselian fields Ido Efrat * Depurtment of Mathematics and Computer Science, Ben Gurion Uniaersity of’ the Negev, P.O. BO.Y 653. Be’er-Sheva 84105, Israel Communicated by M.-F. Roy; received 25 January 1997; received in revised form 22 July 1997 Abstract Let p be a prime number, let K be a field of characteristic 0 containing a primitive root of unity of order p. Also let u be a p-henselian (Krull) valuation on K with residue characteristic p. We determine the structure of the maximal pro-p Galois group GK(P) of K, provided that it is finitely generated. This extends classical results of DemuSkin, Serre and Labute. @ 1999 Elsevier Science B.V. All rights reserved. A MS Clussijicution: Primary 123 10; secondary 12F10, 11 S20 0. Introduction Fix a prime number p. Given a field K let K(p) be the composite of all finite Galois extensions of K of p-power order and let GK(~) = Gal(K(p)/K) be the maximal pro-p Galois group of K. When K is a finite extension of Q, containing the roots of unity of order p the group GK(P) is generated (as a pro-p group) by [K : Cl!,,]+ 2 elements subject to one relation, which has been completely determined by Demuskin [3, 41, Serre [20] and Labute [14]. -
Lesson 1: Solutions to Polynomial Equations
NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 1 M3 PRECALCULUS AND ADVANCED TOPICS Lesson 1: Solutions to Polynomial Equations Classwork Opening Exercise How many solutions are there to the equation 푥2 = 1? Explain how you know. Example 1: Prove that a Quadratic Equation Has Only Two Solutions over the Set of Complex Numbers Prove that 1 and −1 are the only solutions to the equation 푥2 = 1. Let 푥 = 푎 + 푏푖 be a complex number so that 푥2 = 1. a. Substitute 푎 + 푏푖 for 푥 in the equation 푥2 = 1. b. Rewrite both sides in standard form for a complex number. c. Equate the real parts on each side of the equation, and equate the imaginary parts on each side of the equation. d. Solve for 푎 and 푏, and find the solutions for 푥 = 푎 + 푏푖. Lesson 1: Solutions to Polynomial Equations S.1 This work is licensed under a This work is derived from Eureka Math ™ and licensed by Great Minds. ©2015 Great Minds. eureka-math.org This file derived from PreCal-M3-TE-1.3.0-08.2015 Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 1 M3 PRECALCULUS AND ADVANCED TOPICS Exercises Find the product. 1. (푧 − 2)(푧 + 2) 2. (푧 + 3푖)(푧 − 3푖) Write each of the following quadratic expressions as the product of two linear factors. 3. 푧2 − 4 4. 푧2 + 4 5. 푧2 − 4푖 6. 푧2 + 4푖 Lesson 1: Solutions to Polynomial Equations S.2 This work is licensed under a This work is derived from Eureka Math ™ and licensed by Great Minds. -
Local Fields
Part III | Local Fields Based on lectures by H. C. Johansson Notes taken by Dexter Chua Michaelmas 2016 These notes are not endorsed by the lecturers, and I have modified them (often significantly) after lectures. They are nowhere near accurate representations of what was actually lectured, and in particular, all errors are almost surely mine. The p-adic numbers Qp (where p is any prime) were invented by Hensel in the late 19th century, with a view to introduce function-theoretic methods into number theory. They are formed by completing Q with respect to the p-adic absolute value j − jp , defined −n n for non-zero x 2 Q by jxjp = p , where x = p a=b with a; b; n 2 Z and a and b are coprime to p. The p-adic absolute value allows one to study congruences modulo all powers of p simultaneously, using analytic methods. The concept of a local field is an abstraction of the field Qp, and the theory involves an interesting blend of algebra and analysis. Local fields provide a natural tool to attack many number-theoretic problems, and they are ubiquitous in modern algebraic number theory and arithmetic geometry. Topics likely to be covered include: The p-adic numbers. Local fields and their structure. Finite extensions, Galois theory and basic ramification theory. Polynomial equations; Hensel's Lemma, Newton polygons. Continuous functions on the p-adic integers, Mahler's Theorem. Local class field theory (time permitting). Pre-requisites Basic algebra, including Galois theory, and basic concepts from point set topology and metric spaces. -
Use of Iteration Technique to Find Zeros of Functions and Powers of Numbers
USE OF ITERATION TECHNIQUE TO FIND ZEROS OF FUNCTIONS AND POWERS OF NUMBERS Many functions y=f(x) have multiple zeros at discrete points along the x axis. The location of most of these zeros can be estimated approximately by looking at a graph of the function. Simple roots are the ones where f(x) passes through zero value with finite value for its slope while double roots occur for functions where its derivative also vanish simultaneously. The standard way to find these zeros of f(x) is to use the Newton-Raphson technique or a variation thereof. The procedure is to expand f(x) in a Taylor series about a starting point starting with the original estimate x=x0. This produces the iteration- 2 df (xn ) 1 d f (xn ) 2 0 = f (xn ) + (xn+1 − xn ) + (xn+1 − xn ) + ... dx 2! dx2 for which the function vanishes. For a function with a simple zero near x=x0, one has the iteration- f (xn ) xn+1 = xn − with x0 given f ′(xn ) For a double root one needs to keep three terms in the Taylor series to yield the iteration- − f ′(x ) + f ′(x)2 − 2 f (x ) f ′′(x ) n n n ∆xn+1 = xn+1 − xn = f ′′(xn ) To demonstrate how this procedure works, take the simple polynomial function- 2 4 f (x) =1+ 2x − 6x + x Its graph and the derivative look like this- There appear to be four real roots located near x=-2.6, -0.3, +0.7, and +2.2. None of these four real roots equal to an integer, however, they correspond to simple zeros near the values indicated. -
Introduction to L-Functions: the Artin Cliffhanger…
Introduction to L-functions: The Artin Cliffhanger. Artin L-functions Let K=k be a Galois extension of number fields, V a finite-dimensional C-vector space and (ρ, V ) be a representation of Gal(K=k). (unramified) If p ⊂ k is unramified in K and p ⊂ P ⊂ K, put −1 −s Lp(s; ρ) = det IV − Nk=Q(p) ρ (σP) : Depends only on conjugacy class of σP (i.e., only on p), not on P. (general) If G acts on V and H subgroup of G, then V H = fv 2 V : h(v) = v; 8h 2 Hg : IP With ρjV IP : Gal(K=k) ! GL V . −1 −s Lp(s; ρ) = det I − Nk=Q(p) ρjV IP (σP) : Definition For Re(s) > 1, the Artin L-function belonging to ρ is defined by Y L(s; ρ) = Lp(s; ρ): p⊂k Artin’s Conjecture Conjecture (Artin’s Conjecture) If ρ is a non-trivial irreducible representation, then L(s; ρ) has an analytic continuation to the whole complex plane. We can prove meromorphic. Proof. (1) Use Brauer’s Theorem: X χ = ni Ind (χi ) ; i with χi one-dimensional characters of subgroups and ni 2 Z. (2) Use Properties (4) and (5). (3) L (s; χi ) is meromorphic (Hecke L-function). Introduction to L-functions: Hasse-Weil L-functions Paul Voutier CIMPA-ICTP Research School, Nesin Mathematics Village June 2017 A “formal” zeta function Let Nm, m = 1; 2;::: be a sequence of complex numbers. 1 m ! X Nmu Z(u) = exp m m=1 With some sequences, if we have an Euler product, this does look more like zeta functions we have seen. -
5.2 Polynomial Functions 5.2 Polynomialfunctions
5.2 Polynomial Functions 5.2 PolynomialFunctions This is part of 5.1 in the current text In this section, you will learn about the properties, characteristics, and applications of polynomial functions. Upon completion you will be able to: • Recognize the degree, leading coefficient, and end behavior of a given polynomial function. • Memorize the graphs of parent polynomial functions (linear, quadratic, and cubic). • State the domain of a polynomial function, using interval notation. • Define what it means to be a root/zero of a function. • Identify the coefficients of a given quadratic function and he direction the corresponding graph opens. • Determine the verte$ and properties of the graph of a given quadratic function (domain, range, and minimum/maximum value). • Compute the roots/zeroes of a quadratic function by applying the quadratic formula and/or by factoring. • !&etch the graph of a given quadratic function using its properties. • Use properties of quadratic functions to solve business and social science problems. DescribingPolynomialFunctions ' polynomial function consists of either zero or the sum of a finite number of non-zero terms, each of which is the product of a number, called the coefficient of the term, and a variable raised to a non-negative integer (a natural number) power. Definition ' polynomial function is a function of the form n n ) * f(x =a n x +a n ) x − +...+a * x +a ) x+a +, − wherea ,a ,...,a are real numbers andn ) is a natural number. � + ) n ≥ In a previous chapter we discussed linear functions, f(x =mx=b , and the equation of a horizontal line, y=b . -
On the Structure of Galois Groups As Galois Modules
ON THE STRUCTURE OF GALOIS GROUPS AS GALOIS MODULES Uwe Jannsen Fakult~t f~r Mathematik Universit~tsstr. 31, 8400 Regensburg Bundesrepublik Deutschland Classical class field theory tells us about the structure of the Galois groups of the abelian extensions of a global or local field. One obvious next step is to take a Galois extension K/k with Galois group G (to be thought of as given and known) and then to investigate the structure of the Galois groups of abelian extensions of K as G-modules. This has been done by several authors, mainly for tame extensions or p-extensions of local fields (see [10],[12],[3] and [13] for example and further literature) and for some infinite extensions of global fields, where the group algebra has some nice structure (Iwasawa theory). The aim of these notes is to show that one can get some results for arbitrary Galois groups by using the purely algebraic concept of class formations introduced by Tate. i. Relation modules. Given a presentation 1 + R ÷ F ÷ G~ 1 m m of a finite group G by a (discrete) free group F on m free generators, m the factor commutator group Rabm = Rm/[Rm'R m] becomes a finitely generated Z[G]-module via the conjugation in F . By Lyndon [19] and m Gruenberg [8]§2 we have 1.1. PROPOSITION. a) There is an exact sequence of ~[G]-modules (I) 0 ÷ R ab + ~[G] m ÷ I(G) + 0 , m where I(G) is the augmentation ideal, defined by the exact sequence (2) 0 + I(G) ÷ Z[G] aug> ~ ÷ 0, aug( ~ aoo) = ~ a . -
On $ P $-Adic String Amplitudes in the Limit $ P $ Approaches To
On p-adic string amplitudes in the limit p approaches to one M. Bocardo-Gaspara1, H. Garc´ıa-Compe´anb2, W. A. Z´u˜niga-Galindoa3 Centro de Investigaci´on y de Estudios Avanzados del Instituto Polit´ecnico Nacional aDepartamento de Matem´aticas, Unidad Quer´etaro Libramiento Norponiente #2000, Fracc. Real de Juriquilla. Santiago de Quer´etaro, Qro. 76230, M´exico bDepartamento de F´ısica, P.O. Box 14-740, CP. 07000, M´exico D.F., M´exico. Abstract In this article we discuss the limit p approaches to one of tree-level p-adic open string amplitudes and its connections with the topological zeta functions. There is empirical evidence that p-adic strings are related to the ordinary strings in the p → 1 limit. Previously, we established that p-adic Koba-Nielsen string amplitudes are finite sums of multivariate Igusa’s local zeta functions, conse- quently, they are convergent integrals that admit meromorphic continuations as rational functions. The meromorphic continuation of local zeta functions has been used for several authors to regularize parametric Feynman amplitudes in field and string theories. Denef and Loeser established that the limit p → 1 of a Igusa’s local zeta function gives rise to an object called topological zeta func- tion. By using Denef-Loeser’s theory of topological zeta functions, we show that limit p → 1 of tree-level p-adic string amplitudes give rise to certain amplitudes, that we have named Denef-Loeser string amplitudes. Gerasimov and Shatashvili showed that in limit p → 1 the well-known non-local effective Lagrangian (repro- ducing the tree-level p-adic string amplitudes) gives rise to a simple Lagrangian with a logarithmic potential. -
Factors, Zeros, and Solutions
Mathematics Instructional Plan – Algebra II Factors, Zeros, and Solutions Strand: Functions Topic: Exploring relationships among factors, zeros, and solutions Primary SOL: AII.8 The student will investigate and describe the relationships among solutions of an equation, zeros of a function, x-intercepts of a graph, and factors of a polynomial expression. Related SOL: AII.1d, AII.4b, AII.7b Materials Zeros and Factors activity sheet (attached) Matching Cards activity sheet (attached) Sorting Challenge activity sheet (attached) Graphing utility Colored paper Graph paper Vocabulary factor, fundamental theorem of algebra, imaginary numbers, multiplicity, polynomial, rate of change, real numbers, root, slope, solution, x-intercept, y-intercept, zeros of a function Student/Teacher Actions: What should students be doing? What should teachers be doing? Time: 90 minutes 1. Have students solve the equation 3x + 5 = 11. Then, have students set the left side of the equation equal to zero. Tell students to replace zero with y and consider the line y = 3x − 6. Instruct them to graph the line on graph paper. Review the terms slope, x- intercept, and y-intercept. Then, have them perform the same procedure (i.e., solve, set left side equal to zero, replace zero with y, and graph) for the equation −2x + 6 = 4. They should notice that in both cases, the x-intercept is the same as the solution to the equation. 2. Students explored factoring of zeros in Algebra I. Use the following practice problem to review: y = x2 + 4x + 3. Facilitate a discussion with students using the following questions: o “What is the first step in graphing the given line?” o “How do you find the factors of the line?” o “What role does zero play in graphing the line?” o “In how many ‘places’ did this line cross (intersect) the x-axis?” o “When the function crosses the x-axis, what is the value of y?” o “What is the significance of the x-intercepts of the graphs?” 3. -
Elementary Functions, Student's Text, Unit 21
DOCUMENT RESUME BD 135 629 SE 021 999 AUTHOR Allen, Frank B.; And Others TITLE Elementary Functions, Student's Text, Unit 21. INSTITUTION Stanford Univ., Calif. School Mathematics Study Group. SPONS AGENCY National Science Foundation, Washington, D.C. PUB DATE 61 NOTE 398p.; For related documents, see SE 021 987-022 002 and ED 130 870-877; Contains occasional light type EDRS PRICE MF-$0.83 HC-$20.75 Plus Postage. DESCRIPTO2S *Curriculum; Elementary Secondary Education; Instruction; *Instructional Materials; Mathematics Education; *Secondary School Mathematics; *Textbooks IDENTIFIERS *Functions (Mathematics); *School Mathematics Study Group ABSTRACT Unit 21 in the SMSG secondary school mathematics series is a student text covering the following topics in elementary functions: functions, polynomial functions, tangents to graphs of polynomial functions, exponential and logarithmic functions, and circular functions. Appendices discuss set notation, mathematical induction, significance of polynomials, area under a polynomial graph, slopes of area functions, the law of growth, approximation and computation of e raised to the x power, an approximation for ln x, measurement of triangles, trigonometric identities and equations, and calculation of sim x and cos x. (DT) *********************************************************************** Documents acquired by ERIC include many informal unpublished * materials not available from other sources. ERIC makes every effort * * to obtain the best copy available. Nevertheless, items of marginal * * reproducibility are often encountered and this affects the quality * * of the microfiche and hardcopy reproductions ERIC makes available * * via the ERIC Document Reproduction Service (EDRS). EDRS is not * responsible for the quality of the original document. Reproductions * * supplied by EDRS are the best that can be made from the original. -
Applications of Derivatives
5128_Ch04_pp186-260.qxd 1/13/06 12:35 PM Page 186 Chapter 4 Applications of Derivatives n automobile’s gas mileage is a function of many variables, including road surface, tire Atype, velocity, fuel octane rating, road angle, and the speed and direction of the wind. If we look only at velocity’s effect on gas mileage, the mileage of a certain car can be approximated by: m(v) ϭ 0.00015v 3 Ϫ 0.032v 2 ϩ 1.8v ϩ 1.7 (where v is velocity) At what speed should you drive this car to ob- tain the best gas mileage? The ideas in Section 4.1 will help you find the answer. 186 5128_Ch04_pp186-260.qxd 1/13/06 12:36 PM Page 187 Section 4.1 Extreme Values of Functions 187 Chapter 4 Overview In the past, when virtually all graphing was done by hand—often laboriously—derivatives were the key tool used to sketch the graph of a function. Now we can graph a function quickly, and usually correctly, using a grapher. However, confirmation of much of what we see and conclude true from a grapher view must still come from calculus. This chapter shows how to draw conclusions from derivatives about the extreme val- ues of a function and about the general shape of a function’s graph. We will also see how a tangent line captures the shape of a curve near the point of tangency, how to de- duce rates of change we cannot measure from rates of change we already know, and how to find a function when we know only its first derivative and its value at a single point.