Schanuel's Conjecture and Exponential Fields
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Transcendence Measures of Exponentials and Logarithms of Algebraic Numbers Compositio Mathematica, Tome 28, No 2 (1974), P
COMPOSITIO MATHEMATICA P. L. CIJSOUW Transcendence measures of exponentials and logarithms of algebraic numbers Compositio Mathematica, tome 28, no 2 (1974), p. 163-178 <http://www.numdam.org/item?id=CM_1974__28_2_163_0> © Foundation Compositio Mathematica, 1974, tous droits réservés. L’accès aux archives de la revue « Compositio Mathematica » (http: //http://www.compositio.nl/) implique l’accord avec les conditions géné- rales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infrac- tion pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ COMPOSITIO MATHEMATICA, Vol. 28, Fasc. 2, 1974, pag. 163-178 Noordhoff International Publishing Printed in the Netherlands TRANSCENDENCE MEASURES OF EXPONENTIALS AND LOGARITHMS OF ALGEBRAIC NUMBERS P. L. Cijsouw 1. Introduction Let 6 be a transcendental number. A positive function f of two integer variables N and H is called a transcendence measure of u if for all non-constant polynomials P of degree at most N and with integral coefficients of absolute values at most H. The purpose of the present paper, which covers a part of the authors thesis [2], is to give transcendence measures for the numbers e" (a al- gebraic, 03B1 ~ 0) and log a (a algebraic, 03B1 ~ 0, 1, for any fixed value of the logarithm). These transcendence measures will be of the form where S = N+ log H, for an effectively computable constant C > 0 and for given constants a, b, c and d. -
Chapter 10 Orderings and Valuations
Chapter 10 Orderings and valuations 10.1 Ordered fields and their natural valuations One of the main examples for group valuations was the natural valuation of an ordered abelian group. Let us upgrade ordered groups. A field K together with a relation < is called an ordered field and < is called an ordering of K if its additive group together with < is an ordered abelian group and the ordering is compatible with the multiplication: (OM) 0 < x ^ 0 < y =) 0 < xy . For the positive cone of an ordered field, the corresponding additional axiom is: (PC·)P · P ⊂ P . Since −P·−P = P·P ⊂ P, all squares of K and thus also all sums of squares are contained in P. Since −1 2 −P and P \ −P = f0g, it follows that −1 2= P and in particular, −1 is not a sum of squares. From this, we see that the characteristic of an ordered field must be zero (if it would be p > 0, then −1 would be the sum of p − 1 1's and hence a sum of squares). Since the correspondence between orderings and positive cones is bijective, we may identify the ordering with its positive cone. In this sense, XK will denote the set of all orderings resp. positive cones of K. Let us consider the natural valuation of the additive ordered group of the ordered field (K; <). Through the definition va+vb := vab, its value set vK becomes an ordered abelian group and v becomes a homomorphism from the multiplicative group of K onto vK. We have obtained the natural valuation of the ordered field (K; <). -
A Factorization Theorem for Exponential Polynomials
A factorization theorem for exponential polynomials P. D'Aquino and G. Terzo Seconda Universit`adegli Studi di Napoli GOAL: We give a factorization theorem for the ring of exponential polynomials in many variables over an algebraically closed field of characteristic 0 with an expo- nentiation. 1 E-rings Definition 1. An exponential ring, or E-ring, is a pair (R; E) with R a ring (com- mutative with 1) and E :(R; +) ! (U(R); ·) a map of the additive group of R into the multiplicative group of units of R, satisfying 1. E(x + y) = E(x) · E(y) for all x; y 2 R 2. E(0) = 1: Example 1. (R; ax), with a > 0, and (C; ex). 2. (R; E) where R is any ring and E(x) = 1 for all x 2 R: 3. (S[t];E); where S is an E-field of characteristic 0 and S[t] is the ring of formal power series in t over S. Let f 2 S[t], where f = r + f1; and r 2 S; 1 X n E(f) = E(r) · (f1) =n! n=0 4. K[X]E ring of exponential polynomials over (K; E), an E-ring. (K; E) is an E-field if K is a field. 1 2 E-polynomial ring Let (K; E) be an E-field, the ring of E-polynomials in the indeterminates x = x1; : : : ; xn is an E-ring constructed as follows by recursion. • (Rk; +; ·)k≥−1 are rings; • (Bk; +)k≥0 are torsion free abelian groups, and for the algebraically closed fields, are also divisible groups; • (Ek)k≥−1 are partial E-morphisms. -
Discover Linear Algebra Incomplete Preliminary Draft
Discover Linear Algebra Incomplete Preliminary Draft Date: November 28, 2017 L´aszl´oBabai in collaboration with Noah Halford All rights reserved. Approved for instructional use only. Commercial distribution prohibited. c 2016 L´aszl´oBabai. Last updated: November 10, 2016 Preface TO BE WRITTEN. Babai: Discover Linear Algebra. ii This chapter last updated August 21, 2016 c 2016 L´aszl´oBabai. Contents Notation ix I Matrix Theory 1 Introduction to Part I 2 1 (F, R) Column Vectors 3 1.1 (F) Column vector basics . 3 1.1.1 The domain of scalars . 3 1.2 (F) Subspaces and span . 6 1.3 (F) Linear independence and the First Miracle of Linear Algebra . 8 1.4 (F) Dot product . 12 1.5 (R) Dot product over R ................................. 14 1.6 (F) Additional exercises . 14 2 (F) Matrices 15 2.1 Matrix basics . 15 2.2 Matrix multiplication . 18 2.3 Arithmetic of diagonal and triangular matrices . 22 2.4 Permutation Matrices . 24 2.5 Additional exercises . 26 3 (F) Matrix Rank 28 3.1 Column and row rank . 28 iii iv CONTENTS 3.2 Elementary operations and Gaussian elimination . 29 3.3 Invariance of column and row rank, the Second Miracle of Linear Algebra . 31 3.4 Matrix rank and invertibility . 33 3.5 Codimension (optional) . 34 3.6 Additional exercises . 35 4 (F) Theory of Systems of Linear Equations I: Qualitative Theory 38 4.1 Homogeneous systems of linear equations . 38 4.2 General systems of linear equations . 40 5 (F, R) Affine and Convex Combinations (optional) 42 5.1 (F) Affine combinations . -
Deciding Polynomial-Transcendental Problems
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Journal of Symbolic Computation 47 (2012) 16–31 Contents lists available at SciVerse ScienceDirect Journal of Symbolic Computation journal homepage: www.elsevier.com/locate/jsc Deciding polynomial-transcendental problems Scott McCallum a,1, Volker Weispfenning b a Department of Computing, Macquarie University, NSW 2109, Australia b Faculty of Mathematics and Informatics, University of Passau, D-94030 Passau, Germany article info a b s t r a c t Article history: This paper presents a decision procedure for a certain class of Received 31 January 2009 sentences of first order logic involving integral polynomials and Accepted 31 May 2011 a certain specific analytic transcendental function trans.x/ in Available online 16 September 2011 which the variables range over the real numbers. The list of transcendental functions to which our decision method directly Keywords: applies includes exp.x/, the exponential function with respect Decision procedure to base e, ln x , the natural logarithm of x, and arctan x , the Exponential polynomials . / . / inverse tangent function. The inputs to the decision procedure are prenex sentences in which only the outermost quantified variable can occur in the transcendental function. In the case trans.x/ D exp.x/, the decision procedure has been implemented in the computer logic system REDLOG. It is shown how to transform a sentence involving a transcendental function from a much wider collection of functions (such as hyperbolic and Gaussian functions, and trigonometric functions on a certain bounded interval) into a sentence to which our decision method directly applies. -
Matroidal Subdivisions, Dressians and Tropical Grassmannians
Matroidal subdivisions, Dressians and tropical Grassmannians vorgelegt von Diplom-Mathematiker Benjamin Frederik Schröter geboren in Frankfurt am Main Von der Fakultät II – Mathematik und Naturwissenschaften der Technischen Universität Berlin zur Erlangung des akademischen Grades Doktor der Naturwissenschaften – Dr. rer. nat. – genehmigte Dissertation Promotionsausschuss: Vorsitzender: Prof. Dr. Wilhelm Stannat Gutachter: Prof. Dr. Michael Joswig Prof. Dr. Hannah Markwig Senior Lecturer Ph.D. Alex Fink Tag der wissenschaftlichen Aussprache: 17. November 2017 Berlin 2018 Zusammenfassung In dieser Arbeit untersuchen wir verschiedene Aspekte von tropischen linearen Räumen und deren Modulräumen, den tropischen Grassmannschen und Dressschen. Tropische lineare Räume sind dual zu Matroidunterteilungen. Motiviert durch das Konzept der Splits, dem einfachsten Fall einer polytopalen Unterteilung, wird eine neue Klasse von Matroiden eingeführt, die mit Techniken der polyedrischen Geometrie untersucht werden kann. Diese Klasse ist sehr groß, da sie alle Paving-Matroide und weitere Matroide enthält. Die strukturellen Eigenschaften von Split-Matroiden können genutzt werden, um neue Ergebnisse in der tropischen Geometrie zu erzielen. Vor allem verwenden wir diese, um Strahlen der tropischen Grassmannschen zu konstruieren und die Dimension der Dressschen zu bestimmen. Dazu wird die Beziehung zwischen der Realisierbarkeit von Matroiden und der von tropischen linearen Räumen weiter entwickelt. Die Strahlen einer Dressschen entsprechen den Facetten des Sekundärpolytops eines Hypersimplexes. Eine besondere Klasse von Facetten bildet die Verallgemeinerung von Splits, die wir Multi-Splits nennen und die Herrmann ursprünglich als k-Splits bezeichnet hat. Wir geben eine explizite kombinatorische Beschreibung aller Multi-Splits eines Hypersimplexes. Diese korrespondieren mit Nested-Matroiden. Über die tropische Stiefelabbildung erhalten wir eine Beschreibung aller Multi-Splits für Produkte von Simplexen. -
1 Sets and Set Notation. Definition 1 (Naive Definition of a Set)
LINEAR ALGEBRA MATH 2700.006 SPRING 2013 (COHEN) LECTURE NOTES 1 Sets and Set Notation. Definition 1 (Naive Definition of a Set). A set is any collection of objects, called the elements of that set. We will most often name sets using capital letters, like A, B, X, Y , etc., while the elements of a set will usually be given lower-case letters, like x, y, z, v, etc. Two sets X and Y are called equal if X and Y consist of exactly the same elements. In this case we write X = Y . Example 1 (Examples of Sets). (1) Let X be the collection of all integers greater than or equal to 5 and strictly less than 10. Then X is a set, and we may write: X = f5; 6; 7; 8; 9g The above notation is an example of a set being described explicitly, i.e. just by listing out all of its elements. The set brackets {· · ·} indicate that we are talking about a set and not a number, sequence, or other mathematical object. (2) Let E be the set of all even natural numbers. We may write: E = f0; 2; 4; 6; 8; :::g This is an example of an explicity described set with infinitely many elements. The ellipsis (:::) in the above notation is used somewhat informally, but in this case its meaning, that we should \continue counting forever," is clear from the context. (3) Let Y be the collection of all real numbers greater than or equal to 5 and strictly less than 10. Recalling notation from previous math courses, we may write: Y = [5; 10) This is an example of using interval notation to describe a set. -
Algebraic Properties of the Ring of General Exponential Polynomials
Complex Varrahler. 1989. Vol. 13. pp. 1-20 Reprints avdnhle directly from the publisher Photucopyng perm~ftedby license only 1 1989 Gordon and Breach, Science Pubhsherr. Inc. Printed in the United States of Amer~ca Algebraic Properties of the Ring of General Exponential Polynomials C. WARD HENSON and LEE A. RUBEL Department of Mathematics, University of Illinois, 7409 West Green St., Urbana, IL 67807 and MICHAEL F. SINGER Department of Mathematics, North Carolina State University, P.O. Box 8205, Raleigh, NC 27695 AMS No. 30DYY. 32A9Y Communicated: K. F. Barth and K. P. Gilbert (Receitled September 15. 1987) INTRODUCTION The motivation for the results given in this paper is our desire to study the entire functions of several variables which are defined by exponential terms. By an exponential term (in n variables) we mean a formal expression which can be built up from complex constants and the variables z,, . , z, using the symbols + (for addition), . (for multiplication) and exp(.) (for the exponential function with the constant base e). (These are the terms and the functions considered in Section 5 of [I 11. There the set of exponential terms was denoted by C. Note that arbitrary combinations and iterations of the permitted functions can be formed; thus such expressions as are included here.) Each exponential term in n variables evidently defines an analytic Downloaded by [North Carolina State University] at 18:38 26 May 2015 function on C";we denote the ring of all such functions on Cn by A,. This is in fact an exponential ring;that is, A, is closed under application of the exponential function. -
Model Completeness Results for Expansions of the Ordered Field of Real Numbers by Restricted Pfaffian Functions and the Exponential Function
JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY Volume 9, Number 4, October 1996 MODEL COMPLETENESS RESULTS FOR EXPANSIONS OF THE ORDERED FIELD OF REAL NUMBERS BY RESTRICTED PFAFFIAN FUNCTIONS AND THE EXPONENTIAL FUNCTION A. J. WILKIE 1. Introduction Recall that a subset of Rn is called semi-algebraic if it can be represented as a (finite) boolean combination of sets of the form α~ Rn : p(α~)=0, { ∈ } α~ Rn:q(α~)>0 where p(~x), q(~x)aren-variable polynomials with real co- { ∈ } efficients. A map from Rn to Rm is called semi-algebraic if its graph, considered as a subset of Rn+m, is so. The geometry of such sets and maps (“semi-algebraic geometry”) is now a widely studied and flourishing subject that owes much to the foundational work in the 1930s of the logician Alfred Tarski. He proved ([11]) that the image of a semi-algebraic set under a semi-algebraic map is semi-algebraic. (A familiar simple instance: the image of a, b, c, x R4 :a=0andax2 +bx+c =0 {h i∈ 6 } under the projection map R3 R R3 is a, b, c R3 :a=0andb2 4ac 0 .) Tarski’s result implies that the× class→ of semi-algebraic{h i∈ sets6 is closed− under≥ first-} order logical definability (where, as well as boolean operations, the quantifiers “ x R ...”and“x R...” are allowed) and for this reason it is known to ∃ ∈ ∀ ∈ logicians as “quantifier elimination for the ordered ring structure on R”. Immedi- ate consequences are the facts that the closure, interior and boundary of a semi- algebraic set are semi-algebraic. -
Exponential-Polynomial Equations
M. Zoeteman Exponential-polynomial equations Master thesis July 30, 2019 Thesis supervisor: Dr. J.-H. Evertse Leiden University Mathematical Institute Contents 1 Introduction 3 1.1 Lower bounds . .4 1.2 Outline of the thesis . .5 2 Linear recurrence sequences and exponential-polynomial equations 5 2.1 Linear recurrence sequences . .5 2.2 General exponential-polynomial equations . .9 3 Linear equations 10 3.1 Results on linear equations . 10 3.2 Some ideas and techniques behind the proofs of Theorems 3.5 and 3.6 . 12 3.2.1 Algebraic number theory and heights . 12 3.2.2 The Subspace Theorem . 13 3.2.3 Sketch of the proofs . 14 4 Proof of Theorem 1.4 14 4.1 Two results from the paper of Corvaja, Schmidt and Zannier . 14 4.1.1 Proof of Theorem 4.1 . 15 4.1.2 Proof of Theorem 4.2 . 18 4.2 A specialisation argument . 24 4.3 Schmidt's paper . 24 4.3.1 Some reductions . 24 4.3.2 Reducing our main equation to a determinant equation . 25 4.3.3 A case distinction . 26 4.4 Application of Theorem 4.2 to equation (4.25) . 27 4.5 Proof of Theorem 1.4 by induction . 28 4.6 Proof of Corollary 1.5 . 29 2 1 Introduction Let α1; :::; αn 2 C be non-zero multiplicatively independent numbers. We write α = (α1; :::; αn), n and for x = (x1; :::; xn) 2 Z we use the notation x x1 xn α = α1 ··· αn : We consider the Diophantine equation x n α = f(x) in x 2 Z ; (1.1) where f(x) = f(x1; :::; xn) 2 C[x1; :::; xn] is a polynomial of total degree δ. -
Transcendental Number Theory, by Alan Baker, Cambridge Univ. Press, New York, 1975, X + 147 Pp., $13.95
1370 BOOK REVIEWS REFERENCES 1. J. Horvâth, Topological vector spaces and distributions, Addison-Wcsley, Reading, Mass., 1966. 2. A. P. Robertson and W. J. Robertson, Topological vector spaces, Cambridge Tracts in Mathematics and Physics, no. 53 Cambridge Univ. Press, New York, 1964. 3. H. H. Schaefer, Topological vector spaces, MacMillan, New York, 1966. 4. F. Treves, Topological vector spaces, distributions and kernels, Academic Press, New York, 1967. L. WAELBROECK BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 84, Number 6, November 1978 © American Mathematical Society 1978 Transcendental number theory, by Alan Baker, Cambridge Univ. Press, New York, 1975, x + 147 pp., $13.95. Lectures on transcendental numbers, by Kurt Mahler, Edited and completed by B. Divis and W. J. LeVeque, Lecture Notes in Math., no. 546, Springer- Verlag, Berlin, Heidelberg, New York, 1976, xxi + 254 pp., $10.20. Nombres transcendants, by Michel Waldschmidt, Lecture Notes in Math., no. 402, Springer-Verlag, Berlin and New York, 1974, viii + 277 pp., $10.30. The last dozen years have been a golden age for transcendental number theory. It has scored successes on its own ground, while its methods have triumphed over problems in classical number theory involving exponential sums, class numbers, and Diophantine equations. Few topics in mathematics have such general appeal within the discipline as transcendency. Many of us learned of the circle squaring problem before college, and became acquainted with Cantor's existence proof, Liouville's construction, and even Hermite's proof of the transcendence of e well before the close of our undergraduate life. How can we learn more? Sophisticated readers may profitably consult the excellent survey articles of N. -
Linear Algebra (VII)
Linear Algebra (VII) Yijia Chen 1. Review Basis and Dimension. We fix a vector space V. Lemma 1.1. Let A, B ⊆ V be two finite sets of vectors in V, possibly empty. If A is linearly indepen- dent and can be represented by B. Then jAj 6 jBj. Theorem 1.2. Let S ⊆ V and A, B ⊆ S be both maximally linearly independent in S. Then jAj = jBj. Definition 1.3. Let e1,..., en 2 V. Assume that – e1,..., en are linearly independent, – and every v 2 V can be represented by e1,..., en. Equivalently, fe1,..., eng is maximally linearly independent in V. Then fe1,..., eng is a basis of V. Note that n = 0 is allowed, and in that case, it is easy to see that V = f0g. By Theorem 1.2: 0 0 Lemma 1.4. If fe1,..., eng and fe1,..., emg be both bases of V with pairwise distinct ei’s and with 0 pairwise distinct ei, then n = m. Definition 1.5. Let fe1,..., eng be a basis of V with pairwise distinct ei’s. Then the dimension of V, denoted by dim(V), is n. Equivalently, if rank(V) is defined, then dim(V) := rank(V). 1 Theorem 1.6. Assume dim(V) = n and let u1,..., un 2 V. (1) If u1,..., un are linearly independent, then fu1,..., ung is a basis. (2) If every v 2 V can be represented by u1,..., un, then fu1,..., ung is a basis. Steinitz exchange lemma. Theorem 1.7. Assume that dim(V) = n and v1,..., vm 2 V with 1 6 m 6 n are linearly indepen- dent.