Model Theory and Complex Geometry Rahim Moosa
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Chapter 13 the Geometry of Circles
Chapter 13 TheR. Connelly geometry of circles Math 452, Spring 2002 Math 4520, Fall 2017 CLASSICAL GEOMETRIES So far we have been studying lines and conics in the Euclidean plane. What about circles, 14. The geometry of circles one of the basic objects of study in Euclidean geometry? One approach is to use the complex numbersSo far .we Recall have thatbeen the studying projectivities lines and of conics the projective in the Euclidean plane overplane., whichWhat weabout call 2, circles, Cone of the basic objects of study in Euclidean geometry? One approachC is to use CP are given by 3 by 3 matrices, and these projectivities restricted to a complex projective the complex numbers 1C. Recall that the projectivities of the projective plane over C, line,v.rhich which we wecall call Cp2, a CPare, given are the by Moebius3 by 3 matrices, functions, and whichthese projectivities themselves correspondrestricted to to a 2-by-2 matrices.complex Theprojective Moebius line, functions which we preservecall a Cpl the, are cross the Moebius ratio. This functions, is where which circles themselves come in. correspond to a 2 by 2 matrix. The Moebius functions preserve the cross ratio. This is 13.1where circles The come cross in. ratio for the complex field We14.1 look The for anothercross ratio geometric for the interpretation complex field of the cross ratio for the complex field, or better 1 yet forWeCP look= Cfor[f1g another. Recall geometric the polarinterpretation decomposition of the cross of a complexratio for numberthe complexz = refield,iθ, where r =orjz betterj is the yet magnitude for Cpl = ofCz U, and{ 00 } .Recallθ is the the angle polar that decomposition the line through of a complex 0 and znumbermakes with thez real -rei9, axis. -
What's in a Name? the Matrix As an Introduction to Mathematics
St. John Fisher College Fisher Digital Publications Mathematical and Computing Sciences Faculty/Staff Publications Mathematical and Computing Sciences 9-2008 What's in a Name? The Matrix as an Introduction to Mathematics Kris H. Green St. John Fisher College, [email protected] Follow this and additional works at: https://fisherpub.sjfc.edu/math_facpub Part of the Mathematics Commons How has open access to Fisher Digital Publications benefited ou?y Publication Information Green, Kris H. (2008). "What's in a Name? The Matrix as an Introduction to Mathematics." Math Horizons 16.1, 18-21. Please note that the Publication Information provides general citation information and may not be appropriate for your discipline. To receive help in creating a citation based on your discipline, please visit http://libguides.sjfc.edu/citations. This document is posted at https://fisherpub.sjfc.edu/math_facpub/12 and is brought to you for free and open access by Fisher Digital Publications at St. John Fisher College. For more information, please contact [email protected]. What's in a Name? The Matrix as an Introduction to Mathematics Abstract In lieu of an abstract, here is the article's first paragraph: In my classes on the nature of scientific thought, I have often used the movie The Matrix to illustrate the nature of evidence and how it shapes the reality we perceive (or think we perceive). As a mathematician, I usually field questions elatedr to the movie whenever the subject of linear algebra arises, since this field is the study of matrices and their properties. So it is natural to ask, why does the movie title reference a mathematical object? Disciplines Mathematics Comments Article copyright 2008 by Math Horizons. -
The Matrix As an Introduction to Mathematics
St. John Fisher College Fisher Digital Publications Mathematical and Computing Sciences Faculty/Staff Publications Mathematical and Computing Sciences 2012 What's in a Name? The Matrix as an Introduction to Mathematics Kris H. Green St. John Fisher College, [email protected] Follow this and additional works at: https://fisherpub.sjfc.edu/math_facpub Part of the Mathematics Commons How has open access to Fisher Digital Publications benefited ou?y Publication Information Green, Kris H. (2012). "What's in a Name? The Matrix as an Introduction to Mathematics." Mathematics in Popular Culture: Essays on Appearances in Film, Fiction, Games, Television and Other Media , 44-54. Please note that the Publication Information provides general citation information and may not be appropriate for your discipline. To receive help in creating a citation based on your discipline, please visit http://libguides.sjfc.edu/citations. This document is posted at https://fisherpub.sjfc.edu/math_facpub/18 and is brought to you for free and open access by Fisher Digital Publications at St. John Fisher College. For more information, please contact [email protected]. What's in a Name? The Matrix as an Introduction to Mathematics Abstract In my classes on the nature of scientific thought, I have often used the movie The Matrix (1999) to illustrate how evidence shapes the reality we perceive (or think we perceive). As a mathematician and self-confessed science fiction fan, I usually field questionselated r to the movie whenever the subject of linear algebra arises, since this field is the study of matrices and their properties. So it is natural to ask, why does the movie title reference a mathematical object? Of course, there are many possible explanations for this, each of which probably contributed a little to the naming decision. -
Riemann Surfaces
RIEMANN SURFACES AARON LANDESMAN CONTENTS 1. Introduction 2 2. Maps of Riemann Surfaces 4 2.1. Defining the maps 4 2.2. The multiplicity of a map 4 2.3. Ramification Loci of maps 6 2.4. Applications 6 3. Properness 9 3.1. Definition of properness 9 3.2. Basic properties of proper morphisms 9 3.3. Constancy of degree of a map 10 4. Examples of Proper Maps of Riemann Surfaces 13 5. Riemann-Hurwitz 15 5.1. Statement of Riemann-Hurwitz 15 5.2. Applications 15 6. Automorphisms of Riemann Surfaces of genus ≥ 2 18 6.1. Statement of the bound 18 6.2. Proving the bound 18 6.3. We rule out g(Y) > 1 20 6.4. We rule out g(Y) = 1 20 6.5. We rule out g(Y) = 0, n ≥ 5 20 6.6. We rule out g(Y) = 0, n = 4 20 6.7. We rule out g(C0) = 0, n = 3 20 6.8. 21 7. Automorphisms in low genus 0 and 1 22 7.1. Genus 0 22 7.2. Genus 1 22 7.3. Example in Genus 3 23 Appendix A. Proof of Riemann Hurwitz 25 Appendix B. Quotients of Riemann surfaces by automorphisms 29 References 31 1 2 AARON LANDESMAN 1. INTRODUCTION In this course, we’ll discuss the theory of Riemann surfaces. Rie- mann surfaces are a beautiful breeding ground for ideas from many areas of math. In this way they connect seemingly disjoint fields, and also allow one to use tools from different areas of math to study them. -
Holomorphic Embedding of Complex Curves in Spaces of Constant Holomorphic Curvature (Wirtinger's Theorem/Kaehler Manifold/Riemann Surfaces) ISSAC CHAVEL and HARRY E
Proc. Nat. Acad. Sci. USA Vol. 69, No. 3, pp. 633-635, March 1972 Holomorphic Embedding of Complex Curves in Spaces of Constant Holomorphic Curvature (Wirtinger's theorem/Kaehler manifold/Riemann surfaces) ISSAC CHAVEL AND HARRY E. RAUCH* The City College of The City University of New York and * The Graduate Center of The City University of New York, 33 West 42nd St., New York, N.Y. 10036 Communicated by D. C. Spencer, December 21, 1971 ABSTRACT A special case of Wirtinger's theorem ever, the converse is not true in general: the complex curve asserts that a complex curve (two-dimensional) hob-o embedded as a real minimal surface is not necessarily holo- morphically embedded in a Kaehler manifold is a minimal are obstructions. With the by morphically embedded-there surface. The converse is not necessarily true. Guided that we view the considerations from the theory of moduli of Riemann moduli problem in mind, this fact suggests surfaces, we discover (among other results) sufficient embedding of our complex curve as a real minimal surface topological aind differential-geometric conditions for a in a Kaehler manifold as the solution to the differential-geo- minimal (Riemannian) immersion of a 2-manifold in for our present mapping problem metric metric extremal problem complex projective space with the Fubini-Study as our infinitesimal moduli, differential- to be holomorphic. and that we then seek, geometric invariants on the curve whose vanishing forms neces- sary and sufficient conditions for the minimal embedding to be INTRODUCTION AND MOTIVATION holomorphic. Going further, we observe that minimal surface It is known [1-5] how Riemann's conception of moduli for con- evokes the notion of second fundamental forms; while the formal mapping of homeomorphic, multiply connected Rie- moduli problem, again, suggests quadratic differentials. -
Math Object Identifiers – Towards Research Data in Mathematics
Math Object Identifiers – Towards Research Data in Mathematics Michael Kohlhase Computer Science, FAU Erlangen-N¨urnberg Abstract. We propose to develop a system of “Math Object Identi- fiers” (MOIs: digital object identifiers for mathematical concepts, ob- jects, and models) and a process of registering them. These envisioned MOIs constitute a very lightweight form of semantic annotation that can support many knowledge-based workflows in mathematics, e.g. clas- sification of articles via the objects mentioned or object-based search. In essence MOIs are an enabling technology for Linked Open Data for mathematics and thus makes (parts of) the mathematical literature into mathematical research data. 1 Introduction The last years have seen a surge in interest in scaling computer support in scientific research by preserving, making accessible, and managing research data. For most subjects, research data consist in measurement or simulation data about the objects of study, ranging from subatomic particles via weather systems to galaxy clusters. Mathematics has largely been left untouched by this trend, since the objects of study – mathematical concepts, objects, and models – are by and large ab- stract and their properties and relations apply whole classes of objects. There are some exceptions to this, concrete integer sequences, finite groups, or ℓ-functions and modular form are collected and catalogued in mathematical data bases like the OEIS (Online Encyclopedia of Integer Sequences) [Inc; Slo12], the GAP Group libraries [GAP, Chap. 50], or the LMFDB (ℓ-Functions and Modular Forms Data Base) [LMFDB; Cre16]. Abstract mathematical structures like groups, manifolds, or probability dis- tributions can formalized – usually by definitions – in logical systems, and their relations expressed in form of theorems which can be proved in the logical sys- tems as well. -
Complex Manifolds
Complex Manifolds Lecture notes based on the course by Lambertus van Geemen A.A. 2012/2013 Author: Michele Ferrari. For any improvement suggestion, please email me at: [email protected] Contents n 1 Some preliminaries about C 3 2 Basic theory of complex manifolds 6 2.1 Complex charts and atlases . 6 2.2 Holomorphic functions . 8 2.3 The complex tangent space and cotangent space . 10 2.4 Differential forms . 12 2.5 Complex submanifolds . 14 n 2.6 Submanifolds of P ............................... 16 2.6.1 Complete intersections . 18 2 3 The Weierstrass }-function; complex tori and cubics in P 21 3.1 Complex tori . 21 3.2 Elliptic functions . 22 3.3 The Weierstrass }-function . 24 3.4 Tori and cubic curves . 26 3.4.1 Addition law on cubic curves . 28 3.4.2 Isomorphisms between tori . 30 2 Chapter 1 n Some preliminaries about C We assume that the reader has some familiarity with the notion of a holomorphic function in one complex variable. We extend that notion with the following n n Definition 1.1. Let f : C ! C, U ⊆ C open with a 2 U, and let z = (z1; : : : ; zn) be n the coordinates in C . f is holomorphic in a = (a1; : : : ; an) 2 U if f has a convergent power series expansion: +1 X k1 kn f(z) = ak1;:::;kn (z1 − a1) ··· (zn − an) k1;:::;kn=0 This means, in particular, that f is holomorphic in each variable. Moreover, we define OCn (U) := ff : U ! C j f is holomorphicg m A map F = (F1;:::;Fm): U ! C is holomorphic if each Fj is holomorphic. -
ROBERT L. FOOTE CURRICULUM VITA March 2017 Address
ROBERT L. FOOTE CURRICULUM VITA March 2017 Address/Telephone/E-Mail Department of Mathematics & Computer Science Wabash College Crawfordsville, Indiana 47933 (765) 361-6429 [email protected] Personal Date of Birth: December 2, 1953 Citizenship: USA Education Ph.D., Mathematics, University of Michigan, April 1983 Dissertation: Curvature Estimates for Monge-Amp`ere Foliations Thesis Advisor: Daniel M. Burns Jr. M.A., Mathematics, University of Michigan, April 1978 B.A., Mathematics, Kalamazoo College, June 1976 Magna cum Laude with Honors in Mathematics, Phi Beta Kappa, Heyl Science Scholarship Employment 1989–present, Wabash College Department Chair, 1997–2001, 2009–2012 Full Professor since 2004 Associate Professor, 1993–2004 Assistant Professor, 1991–1993 Byron K. Trippet Assistant Professor, 1989–1991 1983–1989, Texas Tech University, Assistant Professor (granted tenure) 1983, Kalamazoo College, Visiting Instructor 1976–1982, University of Michigan, Graduate Student Teaching Assistant 1976, 1977, The Upjohn Company, Mathematical Analyst Research Visits 2009, Korea Institute for Advanced Study (KIAS), Visiting Scholar Three weeks at the invitation of C. K. Han. 2009, Pennsylvania State Univ., Shapiro Visitor Four weeks at the invitation of Sergei Tabachnikov. 2008–2009, Univ. of Georgia, Visiting Scholar (sabbatical leave) 1996–1997, 2003–2004, Univ. of Illinois at Urbana Champaign, Visiting Scholar (sabbatical leave) 1991, Pohang Institute of Science and Technology, Pohang, Korea Three months at the invitation of C. K. Han. 1990, Texas Tech University Ten weeks at the invitation of Lance D. Drager. Current Fields of Interest Primary: Differential Geometry, Integral Geometry Professional Affiliations American Mathematical Society, Mathematical Association of America. Teaching Experience Graduate courses Differentiable manifolds, real analysis, complex analysis. -
Complex Cobordism and Almost Complex Fillings of Contact Manifolds
MSci Project in Mathematics COMPLEX COBORDISM AND ALMOST COMPLEX FILLINGS OF CONTACT MANIFOLDS November 2, 2016 Naomi L. Kraushar supervised by Dr C Wendl University College London Abstract An important problem in contact and symplectic topology is the question of which contact manifolds are symplectically fillable, in other words, which contact manifolds are the boundaries of symplectic manifolds, such that the symplectic structure is consistent, in some sense, with the given contact struc- ture on the boundary. The homotopy data on the tangent bundles involved in this question is finding an almost complex filling of almost contact manifolds. It is known that such fillings exist, so that there are no obstructions on the tangent bundles to the existence of symplectic fillings of contact manifolds; however, so far a formal proof of this fact has not been written down. In this paper, we prove this statement. We use cobordism theory to deal with the stable part of the homotopy obstruction, and then use obstruction theory, and a variant on surgery theory known as contact surgery, to deal with the unstable part of the obstruction. Contents 1 Introduction 2 2 Vector spaces and vector bundles 4 2.1 Complex vector spaces . .4 2.2 Symplectic vector spaces . .7 2.3 Vector bundles . 13 3 Contact manifolds 19 3.1 Contact manifolds . 19 3.2 Submanifolds of contact manifolds . 23 3.3 Complex, almost complex, and stably complex manifolds . 25 4 Universal bundles and classifying spaces 30 4.1 Universal bundles . 30 4.2 Universal bundles for O(n) and U(n).............. 33 4.3 Stable vector bundles . -
1.3 Matrices and Matrix Operations 1.3.1 De…Nitions and Notation Matrices Are Yet Another Mathematical Object
20 CHAPTER 1. SYSTEMS OF LINEAR EQUATIONS AND MATRICES 1.3 Matrices and Matrix Operations 1.3.1 De…nitions and Notation Matrices are yet another mathematical object. Learning about matrices means learning what they are, how they are represented, the types of operations which can be performed on them, their properties and …nally their applications. De…nition 50 (matrix) 1. A matrix is a rectangular array of numbers. in which not only the value of the number is important but also its position in the array. 2. The numbers in the array are called the entries of the matrix. 3. The size of the matrix is described by the number of its rows and columns (always in this order). An m n matrix is a matrix which has m rows and n columns. 4. The elements (or the entries) of a matrix are generally enclosed in brack- ets, double-subscripting is used to index the elements. The …rst subscript always denote the row position, the second denotes the column position. For example a11 a12 ::: a1n a21 a22 ::: a2n A = 2 ::: ::: ::: ::: 3 (1.5) 6 ::: ::: ::: ::: 7 6 7 6 am1 am2 ::: amn 7 6 7 =4 [aij] , i = 1; 2; :::; m, j =5 1; 2; :::; n (1.6) Enclosing the general element aij in square brackets is another way of representing a matrix A . 5. When m = n , the matrix is said to be a square matrix. 6. The main diagonal in a square matrix contains the elements a11; a22; a33; ::: 7. A matrix is said to be upper triangular if all its entries below the main diagonal are 0. -
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. -
Cohomology of the Complex Grassmannian
COHOMOLOGY OF THE COMPLEX GRASSMANNIAN JONAH BLASIAK Abstract. The Grassmannian is a generalization of projective spaces–instead of looking at the set of lines of some vector space, we look at the set of all n-planes. It can be given a manifold structure, and we study the cohomology ring of the Grassmannian manifold in the case that the vector space is complex. The mul- tiplicative structure of the ring is rather complicated and can be computed using the fact that for smooth oriented manifolds, cup product is Poincar´edual to intersection. There is some nice com- binatorial machinery for describing the intersection numbers. This includes the symmetric Schur polynomials, Young tableaux, and the Littlewood-Richardson rule. Sections 1, 2, and 3 introduce no- tation and the necessary topological tools. Section 4 uses linear algebra to prove Pieri’s formula, which describes the cup product of the cohomology ring in a special case. Section 5 describes the combinatorics and algebra that allow us to deduce all the multi- plicative structure of the cohomology ring from Pieri’s formula. 1. Basic properties of the Grassmannian The Grassmannian can be defined for a vector space over any field; the cohomology of the Grassmannian is the best understood for the complex case, and this is our focus. Following [MS], the complex Grass- m+n mannian Gn(C ) is the set of n-dimensional complex linear spaces, or n-planes for brevity, in the complex vector space Cm+n topologized n+m as follows: Let Vn(C ) denote the subspace of the n-fold direct sum Cm+n ⊕ ..