Galois Groups of Generic Polynomials
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Zero-One Laws
1 THE LOGIC IN COMPUTER SCIENCE COLUMN by 2 Yuri GUREVICH Electrical Engineering and Computer Science UniversityofMichigan, Ann Arb or, MI 48109-2122, USA [email protected] Zero-One Laws Quisani: I heard you talking on nite mo del theory the other day.Itisinteresting indeed that all those famous theorems ab out rst-order logic fail in the case when only nite structures are allowed. I can understand that for those, likeyou, educated in the tradition of mathematical logic it seems very imp ortantto ndoutwhichof the classical theorems can b e rescued. But nite structures are to o imp ortant all by themselves. There's got to b e deep nite mo del theory that has nothing to do with in nite structures. Author: \Nothing to do" sounds a little extremist to me. Sometimes in nite ob jects are go o d approximations of nite ob jects. Q: I do not understand this. Usually, nite ob jects approximate in nite ones. A: It may happ en that the in nite case is cleaner and easier to deal with. For example, a long nite sum may b e replaced with a simpler integral. Returning to your question, there is indeed meaningful, inherently nite, mo del theory. One exciting issue is zero- one laws. Consider, say, undirected graphs and let be a propertyofsuch graphs. For example, may b e connectivity. What fraction of n-vertex graphs have the prop erty ? It turns out that, for many natural prop erties , this fraction converges to 0 or 1asn grows to in nity. If the fraction converges to 1, the prop erty is called almost sure. -
On the Normality of Numbers
ON THE NORMALITY OF NUMBERS Adrian Belshaw B. Sc., University of British Columbia, 1973 M. A., Princeton University, 1976 A THESIS SUBMITTED 'IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in the Department of Mathematics @ Adrian Belshaw 2005 SIMON FRASER UNIVERSITY Fall 2005 All rights reserved. This work may not be reproduced in whole or in part, by photocopy or other means, without the permission of the author. APPROVAL Name: Adrian Belshaw Degree: Master of Science Title of Thesis: On the Normality of Numbers Examining Committee: Dr. Ladislav Stacho Chair Dr. Peter Borwein Senior Supervisor Professor of Mathematics Simon Fraser University Dr. Stephen Choi Supervisor Assistant Professor of Mathematics Simon Fraser University Dr. Jason Bell Internal Examiner Assistant Professor of Mathematics Simon Fraser University Date Approved: December 5. 2005 SIMON FRASER ' u~~~snrllbrary DECLARATION OF PARTIAL COPYRIGHT LICENCE The author, whose copyright is declared on the title page of this work, has granted to Simon Fraser University the right to lend this thesis, project or extended essay to users of the Simon Fraser University Library, and to make partial or single copies only for such users or in response to a request from the library of any other university, or other educational institution, on its own behalf or for one of its users. The author has further granted permission to Simon Fraser University to keep or make a digital copy for use in its circulating collection, and, without changing the content, to translate the thesislproject or extended essays, if technically possible, to any medium or format for the purpose of preservation of the digital work. -
Diophantine Approximation and Transcendental Numbers
Diophantine Approximation and Transcendental Numbers Connor Goldstick June 6, 2017 Contents 1 Introduction 1 2 Continued Fractions 2 3 Rational Approximations 3 4 Transcendental Numbers 6 5 Irrationality Measure 7 6 The continued fraction for e 8 6.1 e's Irrationality measure . 10 7 Conclusion 11 A The Lambert Continued Fraction 11 1 Introduction Suppose we have an irrational number, α, that we want to approximate with a rational number, p=q. This question of approximating an irrational number is the primary concern of Diophantine approximation. In other words, we want jα−p=qj < . However, this method of trying to approximate α is boring, as it is possible to get an arbitrary amount of precision by making q large. To remedy this problem, it makes sense to vary with q. The problem we are really trying to solve is finding p and q such that p 1 1 jα − j < which is equivalent to jqα − pj < (1) q q2 q Solutions to this problem have applications in both number theory and in more applied fields. For example, in signal processing many of the quickest approximation algorithms are given by solutions to Diophantine approximation problems. Diophantine approximations also give many important results like the continued fraction expansion of e. One of the most interesting aspects of Diophantine approximations are its relationship with transcendental 1 numbers (a number that cannot be expressed of the root of a polynomial with rational coefficients). One of the key characteristics of a transcendental number is that it is easy to approximate with rational numbers. This paper is separated into two categories. -
On Generic Polynomials for Dihedral Groups
ON GENERIC POLYNOMIALS FOR DIHEDRAL GROUPS ARNE LEDET Abstract. We provide an explicit method for constructing generic polynomials for dihedral groups of degree divisible by four over fields containing the appropriate cosines. 1. Introduction Given a field K and a finite group G, it is natural to ask what a Galois extension over K with Galois group G looks like. One way of formulating an answer is by means of generic polynomials: Definition. A monic separable polynomial P (t; X) 2 K(t)[X], where t = (t1; : : : ; tn) are indeterminates, is generic for G over K, if it satsifies the following conditions: (a) Gal(P (t; X)=K(t)) ' G; and (b) whenever M=L is a Galois extension with Galois group G and L ⊇ K, there exists a1; : : : ; an 2 L) such that M is the splitting field over L of the specialised polynomial P (a1; : : : ; an; X) 2 L[X]. The indeterminates t are the parameters. Thus, if P (t; X) is generic for G over K, every G-extension of fields containing K `looks just like' the splitting field of P (t; X) itself over K(t). This concept of a generic polynomial was shown by Kemper [Ke2] to be equivalent (over infinite fields) to the concept of a generic extension, as introduced by Saltman in [Sa]. For examples and further references, we refer to [JL&Y]. The inspiration for this paper came from [H&M], in which Hashimoto and Miyake describe a one-parameter generic polynomial for the dihe- dral group Dn of degree n (and order 2n), provided that n is odd, that char K - n, and that K contains the nth cosines, i.e., ζ + 1/ζ 2 K for a primitive nth root of unity ζ. -
Network Intrusion Detection with Xgboost and Deep Learning Algorithms: an Evaluation Study
2020 International Conference on Computational Science and Computational Intelligence (CSCI) Network Intrusion Detection with XGBoost and Deep Learning Algorithms: An Evaluation Study Amr Attia Miad Faezipour Abdelshakour Abuzneid Computer Science & Engineering Computer Science & Engineering Computer Science & Engineering University of Bridgeport, CT 06604, USA University of Bridgeport, CT 06604, USA University of Bridgeport, CT 06604, USA [email protected] [email protected] [email protected] Abstract— This paper introduces an effective Network Intrusion In the KitNET model introduced in [2], an unsupervised Detection Systems (NIDS) framework that deploys incremental technique is introduced for anomaly-based intrusion statistical damping features of the packets along with state-of- detection. Incremental statistical feature extraction of the the-art machine/deep learning algorithms to detect malicious packets is passed through ensembles of autoencoders with a patterns. A comprehensive evaluation study is conducted predefined threshold. The model calculates the Root Mean between eXtreme Gradient Boosting (XGBoost) and Artificial Neural Networks (ANN) where feature selection and/or feature Square (RMS) error to detect anomaly behavior. The higher dimensionality reduction techniques such as Principal the calculated RMS at the output, the higher probability of Component Analysis (PCA) and Linear Discriminant Analysis suspicious activity. (LDA) are also integrated into the models to decrease the system Supervised learning has achieved very decent results with complexity for achieving fast responses. Several experimental algorithms such as Random Forest, ZeroR, J48, AdaBoost, runs confirm how powerful machine/deep learning algorithms Logit Boost, and Multilayer Perceptron [3]. Machine/deep are for intrusion detection on known attacks when combined learning-based algorithms for NIDS have been extensively with the appropriate features extracted. -
The Prime Number Theorem a PRIMES Exposition
The Prime Number Theorem A PRIMES Exposition Ishita Goluguri, Toyesh Jayaswal, Andrew Lee Mentor: Chengyang Shao TABLE OF CONTENTS 1 Introduction 2 Tools from Complex Analysis 3 Entire Functions 4 Hadamard Factorization Theorem 5 Riemann Zeta Function 6 Chebyshev Functions 7 Perron Formula 8 Prime Number Theorem © Ishita Goluguri, Toyesh Jayaswal, Andrew Lee, Mentor: Chengyang Shao 2 Introduction • Euclid (300 BC): There are infinitely many primes • Legendre (1808): for primes less than 1,000,000: x π(x) ' log x © Ishita Goluguri, Toyesh Jayaswal, Andrew Lee, Mentor: Chengyang Shao 3 Progress on the Distribution of Prime Numbers • Euler: The product formula 1 X 1 Y 1 ζ(s) := = ns 1 − p−s n=1 p so (heuristically) Y 1 = log 1 1 − p−1 p • Chebyshev (1848-1850): if the ratio of π(x) and x= log x has a limit, it must be 1 • Riemann (1859): On the Number of Primes Less Than a Given Magnitude, related π(x) to the zeros of ζ(s) using complex analysis • Hadamard, de la Vallée Poussin (1896): Proved independently the prime number theorem by showing ζ(s) has no zeros of the form 1 + it, hence the celebrated prime number theorem © Ishita Goluguri, Toyesh Jayaswal, Andrew Lee, Mentor: Chengyang Shao 4 Tools from Complex Analysis Theorem (Maximum Principle) Let Ω be a domain, and let f be holomorphic on Ω. (A) jf(z)j cannot attain its maximum inside Ω unless f is constant. (B) The real part of f cannot attain its maximum inside Ω unless f is a constant. Theorem (Jensen’s Inequality) Suppose f is holomorphic on the whole complex plane and f(0) = 1. -
Generic Polynomials Are Descent-Generic
Generic Polynomials are Descent-Generic Gregor Kemper IWR, Universit¨atHeidelberg, Im Neuenheimer Feld 368 69 120 Heidelberg, Germany email [email protected] January 8, 2001 Abstract Let g(X) K(t1; : : : ; tm)[X] be a generic polynomial for a group G in the sense that every Galois extension2 N=L of infinite fields with group G and K L is given by a specialization of g(X). We prove that then also every Galois extension whose≤ group is a subgroup of G is given in this way. Let K be a field and G a finite group. Let us call a monic, separable polynomial g(t1; : : : ; tm;X) 2 K(t1; : : : ; tm)[X] generic for G over K if the following two properties hold. (1) The Galois group of g (as a polynomial in X over K(t1; : : : ; tm)) is G. (2) If L is an infinite field containing K and N=L is a Galois field extension with group G, then there exist λ1; : : : ; λm L such that N is the splitting field of g(λ1; : : : ; λm;X) over L. 2 We call g descent-generic if it satisfies (1) and the stronger property (2') If L is an infinite field containing K and N=L is a Galois field extension with group H G, ≤ then there exist λ1; : : : ; λm L such that N is the splitting field of g(λ1; : : : ; λm;X) over L. 2 DeMeyer [2] proved that the existence of an irreducible descent-generic polynomial for a group G over an infinite field K is equivalent to the existence of a generic extension S=R for G over K in the sense of Saltman [6]. -
CYCLIC RESULTANTS 1. Introduction the M-Th Cyclic Resultant of A
CYCLIC RESULTANTS CHRISTOPHER J. HILLAR Abstract. We characterize polynomials having the same set of nonzero cyclic resultants. Generically, for a polynomial f of degree d, there are exactly 2d−1 distinct degree d polynomials with the same set of cyclic resultants as f. How- ever, in the generic monic case, degree d polynomials are uniquely determined by their cyclic resultants. Moreover, two reciprocal (\palindromic") polyno- mials giving rise to the same set of nonzero cyclic resultants are equal. In the process, we also prove a unique factorization result in semigroup algebras involving products of binomials. Finally, we discuss how our results yield algo- rithms for explicit reconstruction of polynomials from their cyclic resultants. 1. Introduction The m-th cyclic resultant of a univariate polynomial f 2 C[x] is m rm = Res(f; x − 1): We are primarily interested here in the fibers of the map r : C[x] ! CN given by 1 f 7! (rm)m=0. In particular, what are the conditions for two polynomials to give rise to the same set of cyclic resultants? For technical reasons, we will only consider polynomials f that do not have a root of unity as a zero. With this restriction, a polynomial will map to a set of all nonzero cyclic resultants. Our main result gives a complete answer to this question. Theorem 1.1. Let f and g be polynomials in C[x]. Then, f and g generate the same sequence of nonzero cyclic resultants if and only if there exist u; v 2 C[x] with u(0) 6= 0 and nonnegative integers l1; l2 such that deg(u) ≡ l2 − l1 (mod 2), and f(x) = (−1)l2−l1 xl1 v(x)u(x−1)xdeg(u) g(x) = xl2 v(x)u(x): Remark 1.2. -
Constructive Galois Theory with Linear Algebraic Groups
Constructive Galois Theory with Linear Algebraic Groups Eric Chen, J.T. Ferrara, Liam Mazurowski, Prof. Jorge Morales LSU REU, Summer 2015 April 14, 2018 Eric Chen, J.T. Ferrara, Liam Mazurowski, Prof. Jorge Morales Constructive Galois Theory with Linear Algebraic Groups If K ⊆ L is a field extension obtained by adjoining all roots of a family of polynomials*, then L=K is Galois, and Gal(L=K) := Aut(L=K) Idea : Families of polynomials ! L=K ! Gal(L=K) Primer on Galois Theory Let K be a field (e.g., Q; Fq; Fq(t)..). Eric Chen, J.T. Ferrara, Liam Mazurowski, Prof. Jorge Morales Constructive Galois Theory with Linear Algebraic Groups Idea : Families of polynomials ! L=K ! Gal(L=K) Primer on Galois Theory Let K be a field (e.g., Q; Fq; Fq(t)..). If K ⊆ L is a field extension obtained by adjoining all roots of a family of polynomials*, then L=K is Galois, and Gal(L=K) := Aut(L=K) Eric Chen, J.T. Ferrara, Liam Mazurowski, Prof. Jorge Morales Constructive Galois Theory with Linear Algebraic Groups Primer on Galois Theory Let K be a field (e.g., Q; Fq; Fq(t)..). If K ⊆ L is a field extension obtained by adjoining all roots of a family of polynomials*, then L=K is Galois, and Gal(L=K) := Aut(L=K) Idea : Families of polynomials ! L=K ! Gal(L=K) Eric Chen, J.T. Ferrara, Liam Mazurowski, Prof. Jorge Morales Constructive Galois Theory with Linear Algebraic Groups Given a finite group G Does there exist field extensions L=K such that Gal(L=K) =∼ G? Inverse Galois Problem Given Galois field extensions L=K Compute Gal(L=K) Eric Chen, J.T. -
Generic Polynomials for Quasi-Dihedral, Dihedral and Modular Extensions of Order 16
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 128, Number 8, Pages 2213{2222 S 0002-9939(99)05570-7 Article electronically published on December 8, 1999 GENERIC POLYNOMIALS FOR QUASI-DIHEDRAL, DIHEDRAL AND MODULAR EXTENSIONS OF ORDER 16 ARNE LEDET (Communicated by David E. Rohrlich) Abstract. We describe Galois extensions where the Galois group is the quasi- dihedral, dihedral or modular group of order 16, and use this description to produce generic polynomials. Introduction Let K be a fieldp of characteristic =6 2. Then every quadratic extension of K has the form K( a)=K for some a 2 K∗. Similarly, every cyclic extension of q p degree 4 has the form K( r(1 + c2 + 1+c2))=K for suitable r; c 2 K∗.Inother words: A quadratic extension is the splitting field of a polynomial X2 − a,anda 4 2 2 2 2 2 C4-extension is the splitting field of a polynomial X − 2r(1 + c )X + r c (1 + c ), for suitably chosen a, c and r in K. This makes the polynomials X2 − t and 4 − 2 2 2 2 2 X 2t1(1 + t2)X + t1t2(1 + t2) generic according to the following Definition. Let K be a field and G a finite group, and let t1;:::;tn and X be indeterminates over K.ApolynomialF (t1;:::;tn;X) 2 K(t1;:::;tn)[X] is called a generic (or versal) polynomial for G-extensions over K, if it has the following properties: (1) The splitting field of F (t1;:::;tn;X)overK(t1;:::;tn)isaG-extension. -
Network Topology Generators: Degree-Based Vs
Network Topology Generators: Degree-Based vs. Structural Hongsuda Tangmunarunkit Ramesh Govindan Sugih Jamin USC-ISI ICSI Univ. of Michigan [email protected] [email protected] [email protected] Scott Shenker Walter Willinger ICSI AT&T Research [email protected] [email protected] ABSTRACT in the Internet more closely; we find that degree-based generators Following the long-held belief that the Internet is hierarchical, the produce a form of hierarchy that closely resembles the loosely hi- network topology generators most widely used by the Internet re- erarchical nature of the Internet. search community, Transit-Stub and Tiers, create networks with a deliberately hierarchical structure. However, in 1999 a seminal Categories and Subject Descriptors paper by Faloutsos et al. revealed that the Internet’s degree distri- bution is a power-law. Because the degree distributions produced C.2.1 [Computer-Communication Networks]: Network Archi- by the Transit-Stub and Tiers generators are not power-laws, the tecture and Design—Network topology; I.6.4 [Simulation and Mod- research community has largely dismissed them as inadequate and eling]: Model Validation and Analysis proposed new network generators that attempt to generate graphs with power-law degree distributions. General Terms Contrary to much of the current literature on network topology generators, this paper starts with the assumption that it is more im- Performance, Measurement portant for network generators to accurately model the large-scale structure of the Internet (such as its hierarchical structure) than to Keywords faithfully imitate its local properties (such as the degree distribu- tion). The purpose of this paper is to determine, using various Network topology, hierarchy, topology characterization, topology topology metrics, which network generators better represent this generators, structural generators, degree-based generators, topol- large-scale structure. -
Some of Erdös' Unconventional Problems in Number Theory, Thirty
Some of Erdös’ unconventional problems in number theory, thirty-four years later Gérald Tenenbaum To cite this version: Gérald Tenenbaum. Some of Erdös’ unconventional problems in number theory, thirty-four years later. Erdös centennial, János Bolyai Math. Soc., pp.651-681, 2013. hal-01281530 HAL Id: hal-01281530 https://hal.archives-ouvertes.fr/hal-01281530 Submitted on 2 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. (26/5/2014, 16h36) Some of Erd˝os’ unconventional problems in number theory, thirty-four years later G´erald Tenenbaum There are many ways to recall Paul Erd˝os’ memory and his special way of doing mathematics. Ernst Straus described him as “the prince of problem solvers and the absolute monarch of problem posers”. Indeed, those mathematicians who are old enough to have attended some of his lectures will remember that, after his talks, chairmen used to slightly depart from standard conduct, not asking if there were any questions but if there were any answers. In the address that he forwarded to Mikl´os Simonovits for Erd˝os’ funeral, Claude Berge mentions a conversation he had with Paul in the gardens of the Luminy Campus, near Marseilles, in September 1995.