Differential Algebra, Ordered Fields and Model Theory
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N° 92 Séminaire De Structures Algébriques Ordonnées 2016
N° 92 Séminaire de Structures Algébriques Ordonnées 2016 -- 2017 F. Delon, M. A. Dickmann, D. Gondard, T. Servi Février 2018 Equipe de Logique Mathématique Prépublications Institut de Mathématiques de Jussieu – Paris Rive Gauche Universités Denis Diderot (Paris 7) et Pierre et Marie Curie (Paris 6) Bâtiment Sophie Germain, 5 rue Thomas Mann – 75205 Paris Cedex 13 Tel. : (33 1) 57 27 91 71 – Fax : (33 1) 57 27 91 78 Les volumes des contributions au Séminaire de Structures Algébriques Ordonnées rendent compte des activités principales du séminaire de l'année indiquée sur chaque volume. Les contributions sont présentées par les auteurs, et publiées avec l'agrément des éditeurs, sans qu'il soit mis en place une procédure de comité de lecture. Ce séminaire est publié dans la série de prépublications de l'Equipe de Logique Mathématique, Institut de Mathématiques de Jussieu–Paris Rive Gauche (CNRS -- Universités Paris 6 et 7). Il s'agit donc d'une édition informelle, et les auteurs ont toute liberté de soumettre leurs articles à la revue de leur choix. Cette publication a pour but de diffuser rapidement des résultats ou leur synthèse, et ainsi de faciliter la communication entre chercheurs. The proceedings of the Séminaire de Structures Algébriques Ordonnées constitute a written report of the main activities of the seminar during the year of publication. Papers are presented by each author, and published with the agreement of the editors, but are not refereed. This seminar is published in the preprint series of the Equipe de Logique Mathématique, Institut de Mathématiques de Jussieu– Paris Rive Gauche (CNRS -- Universités Paris 6 et 7). -
14. Least Upper Bounds in Ordered Rings Recall the Definition of a Commutative Ring with 1 from Lecture 3
14. Least upper bounds in ordered rings Recall the definition of a commutative ring with 1 from lecture 3 (Definition 3.2 ). Definition 14.1. A commutative ring R with unity consists of the following data: a set R, • two maps + : R R R (“addition”), : R R R (“multiplication”), • × −→ · × −→ two special elements 0 R = 0 , 1R = 1 R, 0 = 1 such that • ∈ 6 (1) the addition + is commutative and associative (2) the multiplication is commutative and associative (3) distributive law holds:· a (b + c) = ( a b) + ( a c) for all a, b, c R. (4) 0 is an additive identity. · · · ∈ (5) 1 is a multiplicative identity (6) for all a R there exists an additive inverse ( a) R such that a + ( a) = 0. ∈ − ∈ − Example 14.2. The integers Z, the rationals Q, the reals R, and integers modulo n Zn are all commutative rings with 1. The set M2(R) of 2 2 matrices with the usual matrix addition and multiplication is a noncommutative ring with 1 (where× “1” is the identity matrix). The set 2 Z of even integers with the usual addition and multiplication is a commutative ring without 1. Next we introduce the notion of an integral domain. In fact we have seen integral domains in lecture 3, where they were called “commutative rings without zero divisors” (see Lemma 3.4 ). Definition 14.3. A commutative ring R (with 1) is an integral domain if a b = 0 = a = 0 or b = 0 · ⇒ for all a, b R. (This is equivalent to: a b = a c and a = 0 = b = c.) ∈ · · 6 ⇒ Example 14.4. -
A Note on Embedding a Partially Ordered Ring in a Division Algebra William H
proceedings of the american mathematical society Volume 37, Number 1, January 1973 A NOTE ON EMBEDDING A PARTIALLY ORDERED RING IN A DIVISION ALGEBRA WILLIAM H. REYNOLDS Abstract. If H is a maximal cone of a ring A such that the subring generated by H is a commutative integral domain that satisfies a certain centrality condition in A, then there exist a maxi- mal cone H' in a division ring A' and an order preserving mono- morphism of A into A', where the subring of A' generated by H' is a subfield over which A' is algebraic. Hypotheses are strengthened so that the main theorems of the author's earlier paper hold for maximal cones. The terminology of the author's earlier paper [3] will be used. For a subsemiring H of a ring A, we write H—H for {x—y:x,y e H); this is the subring of A generated by H. We say that H is a u-hemiring of A if H is maximal in the class of all subsemirings of A that do not contain a given element u in the center of A. We call H left central if for every a e A and he H there exists h' e H with ah=h'a. Recall that H is a cone if Hn(—H)={0], and a maximal cone if H is not properly contained in another cone. First note that in [3, Theorem 1] the commutativity of the hemiring, established at the beginning of the proof, was only exploited near the end of the proof and was not used to simplify the earlier details. -
Computing the Homology of Semialgebraic Sets. II: General Formulas Peter Bürgisser, Felipe Cucker, Josué Tonelli-Cueto
Computing the Homology of Semialgebraic Sets. II: General formulas Peter Bürgisser, Felipe Cucker, Josué Tonelli-Cueto To cite this version: Peter Bürgisser, Felipe Cucker, Josué Tonelli-Cueto. Computing the Homology of Semialgebraic Sets. II: General formulas. Foundations of Computational Mathematics, Springer Verlag, 2021, 10.1007/s10208-020-09483-8. hal-02878370 HAL Id: hal-02878370 https://hal.inria.fr/hal-02878370 Submitted on 23 Jun 2020 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. Computing the Homology of Semialgebraic Sets. II: General formulas∗ Peter B¨urgissery Felipe Cuckerz Technische Universit¨atBerlin Dept. of Mathematics Institut f¨urMathematik City University of Hong Kong GERMANY HONG KONG [email protected] [email protected] Josu´eTonelli-Cuetox Inria Paris & IMJ-PRG OURAGAN team Sorbonne Universit´e Paris, FRANCE [email protected] Abstract We describe and analyze a numerical algorithm for computing the homology (Betti numbers and torsion coefficients) of semialgebraic sets given by Boolean formulas. The algorithm works in weak exponential time. This means that outside a subset of data having exponentially small measure, the cost of the algorithm is single exponential in the size of the data. -
Algorithmic Semi-Algebraic Geometry and Topology – Recent Progress and Open Problems
Contemporary Mathematics Algorithmic Semi-algebraic Geometry and Topology – Recent Progress and Open Problems Saugata Basu Abstract. We give a survey of algorithms for computing topological invari- ants of semi-algebraic sets with special emphasis on the more recent devel- opments in designing algorithms for computing the Betti numbers of semi- algebraic sets. Aside from describing these results, we discuss briefly the back- ground as well as the importance of these problems, and also describe the main tools from algorithmic semi-algebraic geometry, as well as algebraic topology, which make these advances possible. We end with a list of open problems. Contents 1. Introduction 1 2. Semi-algebraic Geometry: Background 3 3. Recent Algorithmic Results 10 4. Algorithmic Preliminaries 12 5. Topological Preliminaries 22 6. Algorithms for Computing the First Few Betti Numbers 41 7. The Quadratic Case 53 8. Betti Numbers of Arrangements 66 9. Open Problems 69 Acknowledgment 71 References 71 1. Introduction This article has several goals. The primary goal is to provide the reader with a thorough survey of the current state of knowledge on efficient algorithms for computing topological invariants of semi-algebraic sets – and in particular their Key words and phrases. Semi-algebraic Sets, Betti Numbers, Arrangements, Algorithms, Complexity . The author was supported in part by NSF grant CCF-0634907. Part of this work was done while the author was visiting the Institute of Mathematics and its Applications, Minneapolis. 2000 Mathematics Subject Classification Primary 14P10, 14P25; Secondary 68W30 c 0000 (copyright holder) 1 2 SAUGATA BASU Betti numbers. At the same time we want to provide graduate students who intend to pursue research in the area of algorithmic semi-algebraic geometry, a primer on the main technical tools used in the recent developments in this area, so that they can start to use these themselves in their own work. -
Embedding Two Ordered Rings in One Ordered Ring. Part I1
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF ALGEBRA 2, 341-364 (1966) Embedding Two Ordered Rings in One Ordered Ring. Part I1 J. R. ISBELL Department of Mathematics, Case Institute of Technology, Cleveland, Ohio Communicated by R. H. Bruck Received July 8, 1965 INTRODUCTION Two (totally) ordered rings will be called compatible if there exists an ordered ring in which both of them can be embedded. This paper concerns characterizations of the ordered rings compatible with a given ordered division ring K. Compatibility with K is equivalent to compatibility with the center of K; the proof of this depends heavily on Neumann’s theorem [S] that every ordered division ring is compatible with the real numbers. Moreover, only the subfield K, of real algebraic numbers in the center of K matters. For each Ks , the compatible ordered rings are characterized by a set of elementary conditions which can be expressed as polynomial identities in terms of ring and lattice operations. A finite set of identities, or even iden- tities in a finite number of variables, do not suffice, even in the commutative case. Explicit rules will be given for writing out identities which are necessary and sufficient for a commutative ordered ring E to be compatible with a given K (i.e., with K,). Probably the methods of this paper suffice for deriving corresponding rules for noncommutative E, but only the case K,, = Q is done here. If E is compatible with K,, , then E is embeddable in an ordered algebra over Ks and (obviously) E is compatible with the rational field Q. -
On the Total Curvature of Semialgebraic Graphs
ON THE TOTAL CURVATURE OF SEMIALGEBRAIC GRAPHS LIVIU I. NICOLAESCU 3 RABSTRACT. We define the total curvature of a semialgebraic graph ¡ ½ R as an integral K(¡) = ¡ d¹, where ¹ is a certain Borel measure completely determined by the local extrinsic geometry of ¡. We prove that it satisfies the Chern-Lashof inequality K(¡) ¸ b(¡), where b(¡) = b0(¡) + b1(¡), and we completely characterize those graphs for which we have equality. We also prove the following unknottedness result: if ¡ ½ R3 is homeomorphic to the suspension of an n-point set, and satisfies the inequality K(¡) < 2 + b(¡), then ¡ is unknotted. Moreover, we describe a simple planar graph G such that for any " > 0 there exists a knotted semialgebraic embedding ¡ of G in R3 satisfying K(¡) < " + b(¡). CONTENTS Introduction 1 1. One dimensional stratified Morse theory 3 2. Total curvature 8 3. Tightness 13 4. Knottedness 16 Appendix A. Basics of real semi-algebraic geometry 21 References 25 INTRODUCTION The total curvature of a simple closed C2-curve ¡ in R3 is the quantity Z 1 K(¡) = jk(s) jdsj; ¼ ¡ where k(s) denotes the curvature function of ¡ and jdsj denotes the arc-length along C. In 1929 W. Fenchel [9] proved that for any such curve ¡ we have the inequality K(¡) ¸ 2; (F) with equality if and only if C is a planar convex curve. Two decades later, I. Fary´ [8] and J. Milnor [17] gave probabilistic interpretations of the total curvature. Milnor’s interpretation goes as follows. 3 3 Any unit vector u 2 R defines a linear function hu : R ! R, x 7! (u; x), where (¡; ¡) denotes 3 the inner product in R . -
THE SEMIALGEBRAIC CASE Today's Goal Tarski-Seidenberg Theorem
17 THE SEMIALGEBRAIC CASE Today’s Goal Tarski-Seidenberg Theorem. For every n =1, 2, 3,...,every Lalg-definable subset of Rn can be defined by a quantifier-free Lalg-formula. n Thus every Lalg-definable subset of R is a finite boolean combination (i.e., finitely many intersections, unions, and comple- ments) of sets of the form n {(x1,...,xn) ∈ R | p(x1,...,xn) > 0} where p(x1,...,xn)isapolynomial with coefficients in R. These are called the semialgebraic sets. A function f: A ⊂ Rn → Rm is semialgebraic if its graph is a semialgebraic subset of Rn × Rm. 18 As for the semilinear sets, every semialgebraic set can be written as a finite union of the intersection of finitely many sets defined by conditions of the form p(x1,...,xn)=0 q(x1,...,xn) > 0 where p(x1,...,xn) and q(x1,...,xn) are polynomials with coefficients in R. Proof Strategy • Prove a geometric structure theorem that shows that any semialgebraic set can be decomposed into finitely many semialgebraic generalized cylinders and graphs. • Deduce quantifier elimination from this. 19 Thom’s Lemma. Let p1(X),...,pk(X) be polynomials in the variable X with R coefficients in such that if pj(X) =0then pj(X) is included among p1,...,pk. Let S ⊂ R have the form S = ∩jpj(X) ∗j 0 where ∗j is one of <, >,or=, then S is either empty, a point, or an open interval. Moreover, the (topological) closure of S is obtained by changing relaxing the sign conditions (changing < to ≤ and > to ≥. Note There are 3k such possible sets, and these form a partition of R. -
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. -
With Squares Positive and an /-Superunit Can Be Embedded in a Unital /-Prime Lattice-Ordered Ring with Squares Positive
PROCEEDINGSof the AMERICANMATHEMATICAL SOCIETY Volume 121, Number 4, August 1994 THE UNITABILITY OF /-PRIME LATTICE-ORDEREDRINGS WITH SQUARESPOSITIVE MA JINGJING (Communicated by Lance W. Small) Abstract. It is shown that an /-prime lattice-ordered ring with squares positive and an /-superunit can be embedded in a unital /-prime lattice-ordered ring with squares positive. In [1, p. 325] Steinberg asked if an /-prime /-ring with squares positive and an /-superunit can be embedded in a unital /-prime /-ring with squares positive. In this paper we show that the answer is yes. If R is a lattice-ordered ring (/-ring) and a e R+, then a is called an /- element of R if b A c = 0 implies ab/\c = baAc = 0. Let T = T(R) = {a e R : \a\ is an /-element of R}. Then T is a convex /-subring of R, and R is a subdirect product of totally ordered T-T bimodules [2, Lemma 1]. R is an /-ring precisely when T = R. Throughout this paper T will denote the subring of /-elements of R. An element e > 0 of an /-ring R is called a superunit if ex > x and xe > x for each x e R+ ; e is an /-superunit if it is a superunit and an /-element. R is infinitesimal if x2 < x for each x in R+ . The /-ring R is called /-prime if the product of two nonzero /-ideals is nonzero and /-semiprime if it has no nonzero nilpotent /-ideals. An /-ring R is called squares positive if a2 > 0 for each a in R. -
Describing Convex Semialgebraic Sets by Linear Matrix Inequalities
Describing convex semialgebraic sets by linear matrix inequalities Markus Schweighofer Université de Rennes 1 International Symposium on Symbolic and Algebraic Computation Korea Institute for Advanced Study, Seoul July 28-31, 2009 Introduction n n A semialgebraic set in R is a subset of R defined by a boolean combination of polynomial inequalities. In other words, semialgebraic sets are the sets defined by quantifier-free formulas inductively built up from polynomial inequalities by f:; ^; _g. If one allows for formulas combining polynomial inequalities by f:; ^; _; 8x 2 R; 9x 2 Rg, then the defined sets are still semialgebraic. In fact, given a formula ', one can compute a quantifier-free formula defining the same set by Tarski’s real quantifier elimination. If ' has only rational coefficients, then the same can be assured for . Modern algorithms use cylindrical algebraic decomposition. Chris Brown et al., Wednesday, Room B, 14:00 – 15:15 Describing convex semialgebraic sets by linear matrix inequalities n n A semialgebraic set in R is a subset of R defined by a boolean combination of polynomial inequalities. In other words, semialgebraic sets are the sets defined by quantifier-free formulas inductively built up from polynomial inequalities by f:; ^; _g. If one allows for formulas combining polynomial inequalities by f:; ^; _; 8x 2 R; 9x 2 Rg, then the defined sets are still semialgebraic. In fact, given a formula ', one can compute a quantifier-free formula defining the same set by Tarski’s real quantifier elimination. If ' has only rational coefficients, then the same can be assured for . Modern algorithms use cylindrical algebraic decomposition. -
Asymptotic Differential Algebra
ASYMPTOTIC DIFFERENTIAL ALGEBRA MATTHIAS ASCHENBRENNER AND LOU VAN DEN DRIES Abstract. We believe there is room for a subject named as in the title of this paper. Motivating examples are Hardy fields and fields of transseries. Assuming no previous knowledge of these notions, we introduce both, state some of their basic properties, and explain connections to o-minimal structures. We describe a common algebraic framework for these examples: the category of H-fields. This unified setting leads to a better understanding of Hardy fields and transseries from an algebraic and model-theoretic perspective. Contents Introduction 1 1. Hardy Fields 4 2. The Field of Logarithmic-Exponential Series 14 3. H-Fields and Asymptotic Couples 21 4. Algebraic Differential Equations over H-Fields 28 References 35 Introduction In taking asymptotic expansions `ala Poincar´e we deliberately neglect transfinitely 1 − log x small terms. For example, with f(x) := 1−x−1 + x , we have 1 1 f(x) ∼ 1 + + + ··· (x → +∞), x x2 so we lose any information about the transfinitely small term x− log x in passing to the asymptotic expansion of f in powers of x−1. Hardy fields and transseries both provide a kind of remedy by taking into account orders of growth different from . , x−2, x−1, 1, x, x2,... Hardy fields were preceded by du Bois-Reymond’s Infinit¨arcalc¨ul [9]. Hardy [30] made sense of [9], and focused on logarithmic-exponential functions (LE-functions for short). These are the real-valued functions in one variable defined on neigh- borhoods of +∞ that are obtained from constants and the identity function by algebraic operations, exponentiation and taking logarithms.