An application of braid ordering to knot theory
|
|
- Sharleen Lawson
- 5 years ago
- Views:
Transcription
1 January 11, 2009
2 Plan of the talk I The Dehornoy ordering, Dehornoy floor I Dehornoy floor and genus of closed braid I Nielsen-Thurston classification and Geometry of closed braid
3 Braid groups I B n : Braid group of n-strands σ B n = σ 1,, σ i σ j σ i = σ j σ i σ j i j = 1 n 1 σ i σ j = σ j σ i i j 2 1 i i+1 n There is a natural isomorphism B n = MCG(Dn, D n ). ( D n = D 2 /{p-punctures} )
4 The Dehornoy ordering: Algebraic definition Definition: Dehornoy ordering For braids α, β B n, α < D β The braid α 1 β has word presentation such that { contains no σ ±1 1,, σ±1 contains σ i at least one i 1, σ 1 i
5 The Dehornoy ordering: Algebraic definition Definition: Dehornoy ordering For braids α, β B n, α < D β The braid α 1 β has word presentation such that { contains no σ ±1 1,, σ±1 i 1, σ 1 i contains σ i at least one The Dehornoy ordering is left-invariant total ordering. α < D β γα < D γβ for all γ B n
6 Examples I σ 2 < D σ 1 :
7 Examples I σ 2 < D σ 1 : The braid word (σ 1 2 )(σ 1) contains σ 1 but no σ 1 1.
8 Examples I σ 2 < D σ 1 : The braid word (σ 1 2 )(σ 1) contains σ 1 but no σ 1 1. I σ 1 < D σ 2 σ 1 :
9 Examples I σ 2 < D σ 1 : The braid word (σ2 1 )(σ 1) contains σ 1 but no σ1 1. I σ 1 < D σ 2 σ 1 : The braid (σ1 1 )σ 2σ 1 contains both σ 1 and σ1 1, but equivalent word σ 2 σ 1 σ2 1 contains σ 1 but no σ1 1.
10 Examples I σ 2 < D σ 1 : The braid word (σ2 1 )(σ 1) contains σ 1 but no σ1 1. I σ 1 < D σ 2 σ 1 : The braid (σ1 1 )σ 2σ 1 contains both σ 1 and σ1 1, but equivalent word σ 2 σ 1 σ2 1 contains σ 1 but no σ1 1. I σ1 1 σ 2 < D 1 but (σ1 1 σ 2)(σ 1 σ 2 σ 1 ) > D σ 1 σ 2 σ 1.
11 Examples I σ 2 < D σ 1 : The braid word (σ2 1 )(σ 1) contains σ 1 but no σ1 1. I σ 1 < D σ 2 σ 1 : The braid (σ1 1 )σ 2σ 1 contains both σ 1 and σ1 1, but equivalent word σ 2 σ 1 σ2 1 contains σ 1 but no σ1 1. I σ1 1 σ 2 < D 1 but (σ1 1 σ 2)(σ 1 σ 2 σ 1 ) > D σ 1 σ 2 σ 1. This means the Dehornoy ordering is not right invariant ordering.
12 The Dehornoy ordering:geometric definition Γ: Horizontal diameter of D n Identify B n = MCG(Dn, D n ) α < D β β(γ) moves more left than α(γ).
13 The Dehornoy ordering:geometric definition Γ: Horizontal diameter of D n Identify B n = MCG(Dn, D n ) α < D β β(γ) moves more left than α(γ). ½ µ ¾ µ ½ ¾
14 The Dehornoy floor Definition: Dehornoy floor β B n : n-braid The Dehornoy floor [β] D [β] D = min{i Z 0 2i 2 < β < 2i+2 } where = (σ 1 σ 2 σ n 1 )(σ 1 σ n 2 ) (σ 1 σ 2 )(σ 1 ): Garside fundamental braid ¾ ½ ¾ ½ ¼ ½ Ò The Dehornoy floor can be seen as a measure of complexity of braids.
15 Properties of Dehornoy floor Dehornoy floor has following property. Proposition I If β is conjugate to a braid which contains σ ±1 1 at most k, then [β] D < k I [αβ] D [α] D + [β] D + 1 I α,β conjugate [α] D [β] D 1. These properties are used to estimate Dehornoy floor via word representatives.
16 Simple Application of Dehornoy floor A B Exchange move A B Every closed braid representatives of unlinks or composite links admit exchange move. (Birman-Menasco) [β] D 0 implies closure of β is non-trivial and prime. (Malyutin)
17 Genus formula Previous theorem is generalized as follows. Theorem [Ito] β B n : n-braid K = β: oriented knot g(k): genus of K [β] D < 4g(K) n n
18 Genus formula Previous theorem is generalized as follows. Theorem [Ito] β B n : n-braid K = β: oriented knot g(k): genus of K [β] D < 4g(K) n n A closure of complex braid is complex.
19 The Nielsen-Thurston classification Braids β B n = MCG(Dn, D n ) are classified into following three types by their dynamics (Nielsen-Thurston): I Periodic: β N = 2p for some N. I Reducible: β preserves some essential curve on D n. I Pseudo-Anosov: β is represented by pseudo-anosov homeomorphisms.
20 Nielsen-Thurston classification and geometry F : Oriented closed surface, genus 2 ϕ : F F : Orientation preserving homeomorphism M ϕ = F I / ( (x, 0) (ϕ(x), 1)): Mapping torus of ϕ. Theorem (Thurston) I ϕ is periodic M ϕ is Seifert-fibered. I ϕ is reducible M ϕ has essential tori. I ϕ is pseudo-anosov M ϕ is hyperbolic.
21 Nielsen-Thurston classification and geometry F : Oriented closed surface, genus 2 ϕ : F F : Orientation preserving homeomorphism M ϕ = F I / ( (x, 0) (ϕ(x), 1)): Mapping torus of ϕ. Theorem (Thurston) I ϕ is periodic M ϕ is Seifert-fibered. I ϕ is reducible M ϕ has essential tori. I ϕ is pseudo-anosov M ϕ is hyperbolic. The Nielsen-Thurston classification and geometry of mapping torus are in one-to-one correspondence.
22 Geometry of knot complements Knots K are classified into three types via geometry of their complements E K = S 3 \K. I Torus knots: E K are Seifert-fibered. I Satellite knots: E K have essential tori. I Hyperbolic knots : E K are hyperbolic.
23 Example Unlike mapping torus case, geometry of closed braid and the Nielsen-Thurston classification of braids are not in one-to-one correspondence.
24 Example Unlike mapping torus case, geometry of closed braid and the Nielsen-Thurston classification of braids are not in one-to-one correspondence. (a) (b) (c) (a):periodic (b):pseudo-anosov (c):reducible
25 Example Unlike mapping torus case, geometry of closed braid and the Nielsen-Thurston classification of braids are not in one-to-one correspondence. (a) (b) (c) (a):periodic (b):pseudo-anosov (c):reducible Closures of these braids are (2, 3)-torus knot.
26 Correspondence theorem Theorem[Ito] β B n and suppose K = β is knot and [β] D 2 I β is periodic K is a torus knot. I ϕ is reducible K is a satellite knot. I ϕ is pseudo-anosov K is a hyperbolic knot.
27 Correspondence theorem Theorem[Ito] β B n and suppose K = β is knot and [β] D 2 I β is periodic K is a torus knot. I ϕ is reducible K is a satellite knot. I ϕ is pseudo-anosov K is a hyperbolic knot. The Nielsen-Thurston classification and geometry of knot complements are in one-to-one correspondence under the condition [β] D 2.
28 Remark In this Theorem, a condition [β] D 2 is best-possible. A braid β = σ 1 σ2 3σ2 1 knot, and [β] D = 1. is pseudo-anosov, but its closure is satellite
Kodaira dimensions of low dimensional manifolds
University of Minnesota July 30, 2013 1 The holomorphic Kodaira dimension κ h 2 3 4 Kodaira dimension type invariants Roughly speaking, a Kodaira dimension type invariant on a class of n dimensional manifolds
More informationDENSITY OF PERIODIC GEODESICS IN THE UNIT TANGENT BUNDLE OF A COMPACT HYPERBOLIC SURFACE
DENSITY OF PERIODIC GEODESICS IN THE UNIT TANGENT BUNDLE OF A COMPACT HYPERBOLIC SURFACE Marcos Salvai FaMAF, Ciudad Universitaria, 5000 Córdoba, Argentina. e-mail: salvai@mate.uncor.edu Abstract Let S
More informationTranscendental lattices of complex algebraic surfaces
Transcendental lattices of complex algebraic surfaces Ichiro Shimada Hiroshima University November 25, 2009, Tohoku 1 / 27 Introduction Let Aut(C) be the automorphism group of the complex number field
More informationLaurence Boxer and Ismet KARACA
SOME PROPERTIES OF DIGITAL COVERING SPACES Laurence Boxer and Ismet KARACA Abstract. In this paper we study digital versions of some properties of covering spaces from algebraic topology. We correct and
More informationLaurence Boxer and Ismet KARACA
THE CLASSIFICATION OF DIGITAL COVERING SPACES Laurence Boxer and Ismet KARACA Abstract. In this paper we classify digital covering spaces using the conjugacy class corresponding to a digital covering space.
More informationOn axiomatisablity questions about monoid acts
University of York Universal Algebra and Lattice Theory, Szeged 25 June, 2012 Based on joint work with V. Gould and L. Shaheen Monoid acts Right acts A is a left S-act if there exists a map : S A A such
More informationREMARKS ON K3 SURFACES WITH NON-SYMPLECTIC AUTOMORPHISMS OF ORDER 7
REMARKS ON K3 SURFACES WTH NON-SYMPLECTC AUTOMORPHSMS OF ORDER 7 SHNGO TAK Abstract. n this note, we treat a pair of a K3 surface and a non-symplectic automorphism of order 7m (m = 1, 3 and 6) on it. We
More informationContinuous images of closed sets in generalized Baire spaces ESI Workshop: Forcing and Large Cardinals
Continuous images of closed sets in generalized Baire spaces ESI Workshop: Forcing and Large Cardinals Philipp Moritz Lücke (joint work with Philipp Schlicht) Mathematisches Institut, Rheinische Friedrich-Wilhelms-Universität
More informationVersion A. Problem 1. Let X be the continuous random variable defined by the following pdf: 1 x/2 when 0 x 2, f(x) = 0 otherwise.
Math 224 Q Exam 3A Fall 217 Tues Dec 12 Version A Problem 1. Let X be the continuous random variable defined by the following pdf: { 1 x/2 when x 2, f(x) otherwise. (a) Compute the mean µ E[X]. E[X] x
More informationTwo hours. To be supplied by the Examinations Office: Mathematical Formula Tables and Statistical Tables THE UNIVERSITY OF MANCHESTER
Two hours MATH20802 To be supplied by the Examinations Office: Mathematical Formula Tables and Statistical Tables THE UNIVERSITY OF MANCHESTER STATISTICAL METHODS Answer any FOUR of the SIX questions.
More informationThe Normal Distribution
The Normal Distribution The normal distribution plays a central role in probability theory and in statistics. It is often used as a model for the distribution of continuous random variables. Like all models,
More informationA Fuzzy Pay-Off Method for Real Option Valuation
A Fuzzy Pay-Off Method for Real Option Valuation April 2, 2009 1 Introduction Real options Black-Scholes formula 2 Fuzzy Sets and Fuzzy Numbers 3 The method Datar-Mathews method Calculating the ROV with
More informationCOMBINATORICS OF REDUCTIONS BETWEEN EQUIVALENCE RELATIONS
COMBINATORICS OF REDUCTIONS BETWEEN EQUIVALENCE RELATIONS DAN HATHAWAY AND SCOTT SCHNEIDER Abstract. We discuss combinatorial conditions for the existence of various types of reductions between equivalence
More informationBraid Group Cryptography
Tutorials: Braid Group Cryptography Second part Singapore, June 2007 David Garber Department of Applied Mathematics, School of Sciences Holon Institute of Technology Holon, Israel The underlying (apparently
More informationLie Algebras and Representation Theory Homework 7
Lie Algebras and Representation Theory Homework 7 Debbie Matthews 2015-05-19 Problem 10.5 If σ W can be written as a product of t simple reflections, prove that t has the same parity as l(σ). Let = {α
More informationDetermining Sample Size. Slide 1 ˆ ˆ. p q n E = z α / 2. (solve for n by algebra) n = E 2
Determining Sample Size Slide 1 E = z α / 2 ˆ ˆ p q n (solve for n by algebra) n = ( zα α / 2) 2 p ˆ qˆ E 2 Sample Size for Estimating Proportion p When an estimate of ˆp is known: Slide 2 n = ˆ ˆ ( )
More informationMathematics in Finance
Mathematics in Finance Steven E. Shreve Department of Mathematical Sciences Carnegie Mellon University Pittsburgh, PA 15213 USA shreve@andrew.cmu.edu A Talk in the Series Probability in Science and Industry
More informationFinancial Modelling Using Discrete Stochastic Calculus
Preprint typeset in JHEP style - HYPER VERSION Financial Modelling Using Discrete Stochastic Calculus Eric A. Forgy, Ph.D. E-mail: eforgy@yahoo.com Abstract: In the present report, a review of discrete
More informationPricing and hedging with rough-heston models
Pricing and hedging with rough-heston models Omar El Euch, Mathieu Rosenbaum Ecole Polytechnique 1 January 216 El Euch, Rosenbaum Pricing and hedging with rough-heston models 1 Table of contents Introduction
More informationResearch Article On Open-Open Games of Uncountable Length
International Mathematics and Mathematical Sciences Volume 2012, Article ID 208693, 11 pages doi:10.1155/2012/208693 Research Article On Open-Open Games of Uncountable Length Andrzej Kucharski Institute
More informationOn Generalized Hopf Differentials
On 1 Ruhr-Universität Bochum 44780 Bochum Germany e-mail: abresch@math.rub.de August 2006 Joint work with: Harold Rosenberg (Univ. Paris VII) 1 Supported by CNRS and DFG SPP 1154. Table of 1. for Cmc Surfaces
More informationComputation of Centralizers in Braid groups and Garside groups
Rev. Mat. Iberoamericana 19 (2003), 367 384 Computation of Centralizers in Braid groups and Garside groups Nuno Franco and Juan González-Meneses Abstract We give a new method to compute the centralizer
More informationTHE IRREDUCIBILITY OF CERTAIN PURE-CYCLE HURWITZ SPACES
THE IRREDUCIBILITY OF CERTAIN PURE-CYCLE HURWITZ SPACES FU LIU AND BRIAN OSSERMAN Abstract. We study pure-cycle Hurwitz spaces, parametrizing covers of the projective line having only one ramified point
More information3 The Model Existence Theorem
3 The Model Existence Theorem Although we don t have compactness or a useful Completeness Theorem, Henkinstyle arguments can still be used in some contexts to build models. In this section we describe
More informationcontinuous rv Note for a legitimate pdf, we have f (x) 0 and f (x)dx = 1. For a continuous rv, P(X = c) = c f (x)dx = 0, hence
continuous rv Let X be a continuous rv. Then a probability distribution or probability density function (pdf) of X is a function f(x) such that for any two numbers a and b with a b, P(a X b) = b a f (x)dx.
More informationκ-bounded Exponential-Logarithmic Power Series Fields
κ-bounded Exponential-Logarithmic Power Series Fields Salma Kuhlmann and Saharon Shelah 17. 06. 2004 Abstract In [K K S] it was shown that fields of generalized power series cannot admit an exponential
More informationLikelihood Methods of Inference. Toss coin 6 times and get Heads twice.
Methods of Inference Toss coin 6 times and get Heads twice. p is probability of getting H. Probability of getting exactly 2 heads is 15p 2 (1 p) 4 This function of p, is likelihood function. Definition:
More informationVII. Incomplete Markets. Tomas Björk
VII Incomplete Markets Tomas Björk 1 Typical Factor Model Setup Given: An underlying factor process X, which is not the price process of a traded asset, with P -dynamics dx t = µ (t, X t ) dt + σ (t, X
More informationWhat was in the last lecture?
What was in the last lecture? Normal distribution A continuous rv with bell-shaped density curve The pdf is given by f(x) = 1 2πσ e (x µ)2 2σ 2, < x < If X N(µ, σ 2 ), E(X) = µ and V (X) = σ 2 Standard
More informationThe Use of Importance Sampling to Speed Up Stochastic Volatility Simulations
The Use of Importance Sampling to Speed Up Stochastic Volatility Simulations Stan Stilger June 6, 1 Fouque and Tullie use importance sampling for variance reduction in stochastic volatility simulations.
More informationMore On λ κ closed sets in generalized topological spaces
Journal of Algorithms and Computation journal homepage: http://jac.ut.ac.ir More On λ κ closed sets in generalized topological spaces R. Jamunarani, 1, P. Jeyanthi 2 and M. Velrajan 3 1,2 Research Center,
More informationEconomics 101. Lecture 3 - Consumer Demand
Economics 101 Lecture 3 - Consumer Demand 1 Intro First, a note on wealth and endowment. Varian generally uses wealth (m) instead of endowment. Ultimately, these two are equivalent. Given prices p, if
More informationCentral Limit Theorem
Central Limit Theorem Lots of Samples 1 Homework Read Sec 6-5. Discussion Question pg 329 Do Ex 6-5 8-15 2 Objective Use the Central Limit Theorem to solve problems involving sample means 3 Sample Means
More informationRevenue from the Saints, the Showoffs, and the Predators: Comparisons of Auctions with Price-Preference Values Supplemental Information
Revenue from the Saints, the Showoffs, and the Predators: Comparisons of Auctions with Price-Preference Values Supplemental Information Timothy C. Salmon Florida State University R. Mark Isaac Florida
More informationPARTITIONS OF 2 ω AND COMPLETELY ULTRAMETRIZABLE SPACES
PARTITIONS OF 2 ω AND COMPLETELY ULTRAMETRIZABLE SPACES WILLIAM R. BRIAN AND ARNOLD W. MILLER Abstract. We prove that, for every n, the topological space ω ω n (where ω n has the discrete topology) can
More information4: SINGLE-PERIOD MARKET MODELS
4: SINGLE-PERIOD MARKET MODELS Marek Rutkowski School of Mathematics and Statistics University of Sydney Semester 2, 2016 M. Rutkowski (USydney) Slides 4: Single-Period Market Models 1 / 87 General Single-Period
More informationTwo Stationary Sets with Different Gaps of the Power Function
Two Stationary Sets with Different Gaps of the Power Function Moti Gitik School of Mathematical Sciences Tel Aviv University Tel Aviv 69978, Israel gitik@post.tau.ac.il August 14, 2014 Abstract Starting
More informationPaul Bingley SFI Copenhagen. Lorenzo Cappellari. Niels Westergaard Nielsen CCP Aarhus and IZA
Flexicurity and wage dynamics over the life-cycle Paul Bingley SFI Copenhagen Lorenzo Cappellari Università Cattolica Milano and IZA Niels Westergaard Nielsen CCP Aarhus and IZA 1 Motivations Flexycurity
More informationFinite dimensional realizations of HJM models
Finite dimensional realizations of HJM models Tomas Björk Stockholm School of Economics Camilla Landén KTH, Stockholm Lars Svensson KTH, Stockholm UTS, December 2008, 1 Definitions: p t (x) : Price, at
More informationAre stylized facts irrelevant in option-pricing?
Are stylized facts irrelevant in option-pricing? Kyiv, June 19-23, 2006 Tommi Sottinen, University of Helsinki Based on a joint work No-arbitrage pricing beyond semimartingales with C. Bender, Weierstrass
More informationTHE NUMBER OF UNARY CLONES CONTAINING THE PERMUTATIONS ON AN INFINITE SET
THE NUMBER OF UNARY CLONES CONTAINING THE PERMUTATIONS ON AN INFINITE SET MICHAEL PINSKER Abstract. We calculate the number of unary clones (submonoids of the full transformation monoid) containing the
More informationThe (λ, κ)-fn and the order theory of bases in boolean algebras
The (λ, κ)-fn and the order theory of bases in boolean algebras David Milovich Texas A&M International University david.milovich@tamiu.edu http://www.tamiu.edu/ dmilovich/ June 2, 2010 BLAST 1 / 22 The
More informationGödel algebras free over finite distributive lattices
TANCL, Oxford, August 4-9, 2007 1 Gödel algebras free over finite distributive lattices Stefano Aguzzoli Brunella Gerla Vincenzo Marra D.S.I. D.I.COM. D.I.C.O. University of Milano University of Insubria
More informationRiemannian Geometry, Key to Homework #1
Riemannian Geometry Key to Homework # Let σu v sin u cos v sin u sin v cos u < u < π < v < π be a parametrization of the unit sphere S {x y z R 3 x + y + z } Fix an angle < θ < π and consider the parallel
More informationFunctional vs Banach space stochastic calculus & strong-viscosity solutions to semilinear parabolic path-dependent PDEs.
Functional vs Banach space stochastic calculus & strong-viscosity solutions to semilinear parabolic path-dependent PDEs Andrea Cosso LPMA, Université Paris Diderot joint work with Francesco Russo ENSTA,
More informationWada s Representations of the. Pure Braid Group of High Degree
Theoretical Mathematics & Applications, vol2, no1, 2012, 117-125 ISSN: 1792-9687 (print), 1792-9709 (online) International Scientific Press, 2012 Wada s Representations of the Pure Braid Group of High
More informationDEPTH OF BOOLEAN ALGEBRAS SHIMON GARTI AND SAHARON SHELAH
DEPTH OF BOOLEAN ALGEBRAS SHIMON GARTI AND SAHARON SHELAH Abstract. Suppose D is an ultrafilter on κ and λ κ = λ. We prove that if B i is a Boolean algebra for every i < κ and λ bounds the Depth of every
More informationStatistical Tables Compiled by Alan J. Terry
Statistical Tables Compiled by Alan J. Terry School of Science and Sport University of the West of Scotland Paisley, Scotland Contents Table 1: Cumulative binomial probabilities Page 1 Table 2: Cumulative
More informationConstructing Markov models for barrier options
Constructing Markov models for barrier options Gerard Brunick joint work with Steven Shreve Department of Mathematics University of Texas at Austin Nov. 14 th, 2009 3 rd Western Conference on Mathematical
More informationStochastic Differential equations as applied to pricing of options
Stochastic Differential equations as applied to pricing of options By Yasin LUT Supevisor:Prof. Tuomo Kauranne December 2010 Introduction Pricing an European call option Conclusion INTRODUCTION A stochastic
More informationDifferential Geometry: Curvature, Maps, and Pizza
Differential Geometry: Curvature, Maps, and Pizza Madelyne Ventura University of Maryland December 8th, 2015 Madelyne Ventura (University of Maryland) Curvature, Maps, and Pizza December 8th, 2015 1 /
More informationOn the action of the absolute Galois group on triangle curves
On the action of the absolute Galois group on triangle curves Gabino González-Diez (joint work with Andrei Jaikin-Zapirain) Universidad Autónoma de Madrid October 2015, Chicago There is a well-known correspondence
More informationHints on Some of the Exercises
Hints on Some of the Exercises of the book R. Seydel: Tools for Computational Finance. Springer, 00/004/006/009/01. Preparatory Remarks: Some of the hints suggest ideas that may simplify solving the exercises
More information"Pricing Exotic Options using Strong Convergence Properties
Fourth Oxford / Princeton Workshop on Financial Mathematics "Pricing Exotic Options using Strong Convergence Properties Klaus E. Schmitz Abe schmitz@maths.ox.ac.uk www.maths.ox.ac.uk/~schmitz Prof. Mike
More informationExchange Rate Pegging and Inflation:
The Role of Central Bank Independence June 10, 2012 Outline Introduction 1 Introduction Motivation Main Findings Contributions 2 3 Disinflationary Effect of A Peg Inflation Cost of Abandoning a Peg 4 The
More informationInformation, Interest Rates and Geometry
Information, Interest Rates and Geometry Dorje C. Brody Department of Mathematics, Imperial College London, London SW7 2AZ www.imperial.ac.uk/people/d.brody (Based on work in collaboration with Lane Hughston
More informationOrthogonality to the value group is the same as generic stability in C-minimal expansions of ACVF
Orthogonality to the value group is the same as generic stability in C-minimal expansions of ACVF Will Johnson February 18, 2014 1 Introduction Let T be some C-minimal expansion of ACVF. Let U be the monster
More informationGreek parameters of nonlinear Black-Scholes equation
International Journal of Mathematics and Soft Computing Vol.5, No.2 (2015), 69-74. ISSN Print : 2249-3328 ISSN Online: 2319-5215 Greek parameters of nonlinear Black-Scholes equation Purity J. Kiptum 1,
More informationPh.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2017
Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2017 The time limit for this exam is four hours. The exam has four sections. Each section includes two questions.
More informationON THE QUOTIENT SHAPES OF VECTORIAL SPACES. Nikica Uglešić
RAD HAZU. MATEMATIČKE ZNANOSTI Vol. 21 = 532 (2017): 179-203 DOI: http://doi.org/10.21857/mzvkptxze9 ON THE QUOTIENT SHAPES OF VECTORIAL SPACES Nikica Uglešić To my Master teacher Sibe Mardešić - with
More informationORDERED SEMIGROUPS HAVING THE P -PROPERTY. Niovi Kehayopulu, Michael Tsingelis
ORDERED SEMIGROUPS HAVING THE P -PROPERTY Niovi Kehayopulu, Michael Tsingelis ABSTRACT. The main results of the paper are the following: The ordered semigroups which have the P -property are decomposable
More informationNon replication of options
Non replication of options Christos Kountzakis, Ioannis A Polyrakis and Foivos Xanthos June 30, 2008 Abstract In this paper we study the scarcity of replication of options in the two period model of financial
More information2. The ultrapower construction
2. The ultrapower construction The study of ultrapowers originates in model theory, although it has found applications both in algebra and in analysis. However, it is accurate to say that it is mainly
More informationINFLATION OF FINITE LATTICES ALONG ALL-OR-NOTHING SETS TRISTAN HOLMES J. B. NATION
INFLATION OF FINITE LATTICES ALONG ALL-OR-NOTHING SETS TRISTAN HOLMES J. B. NATION Department of Mathematics, University of Hawaii, Honolulu, HI 96822, USA Phone:(808)956-4655 Abstract. We introduce a
More informationCongestion Pricing with an Untolled Alternative
Congestion Pricing with an Untolled Alternative David Bernstein Statistics and Operations Research Program Princeton University Princeton, NJ 08544, U.S.A. Ibrahim El Sanhouri Riyadh Development Authority
More informationOn equation. Boris Bartolomé. January 25 th, Göttingen Universität & Institut de Mathémathiques de Bordeaux
Göttingen Universität & Institut de Mathémathiques de Bordeaux Boris.Bartolome@mathematik.uni-goettingen.de Boris.Bartolome@math.u-bordeaux1.fr January 25 th, 2016 January 25 th, 2016 1 / 19 Overview 1
More informationSLE and CFT. Mitsuhiro QFT2005
SLE and CFT Mitsuhiro Kato @ QFT2005 1. Introduction Critical phenomena Conformal Field Theory (CFT) Algebraic approach, field theory, BPZ(1984) Stochastic Loewner Evolution (SLE) Geometrical approach,
More informationConditional Value-at-Risk, Spectral Risk Measures and (Non-)Diversification in Portfolio Selection Problems A Comparison with Mean-Variance Analysis
Conditional Value-at-Risk, Spectral Risk Measures and (Non-)Diversification in Portfolio Selection Problems A Comparison with Mean-Variance Analysis Mario Brandtner Friedrich Schiller University of Jena,
More informationFractional Graphs. Figure 1
Fractional Graphs Richard H. Hammack Department of Mathematics and Applied Mathematics Virginia Commonwealth University Richmond, VA 23284-2014, USA rhammack@vcu.edu Abstract. Edge-colorings are used to
More informationLecture 1 of 4-part series. Spring School on Risk Management, Insurance and Finance European University at St. Petersburg, Russia.
Principles and Lecture 1 of 4-part series Spring School on Risk, Insurance and Finance European University at St. Petersburg, Russia 2-4 April 2012 s University of Connecticut, USA page 1 s Outline 1 2
More informationLogarithmic derivatives of densities for jump processes
Logarithmic derivatives of densities for jump processes Atsushi AKEUCHI Osaka City University (JAPAN) June 3, 29 City University of Hong Kong Workshop on Stochastic Analysis and Finance (June 29 - July
More informationEpimorphisms and Ideals of Distributive Nearlattices
Annals of Pure and Applied Mathematics Vol. 18, No. 2, 2018,175-179 ISSN: 2279-087X (P), 2279-0888(online) Published on 9 November 2018 www.researchmathsci.org DOI: http://dx.doi.org/10.22457/apam.v18n2a5
More informationExistentially closed models of the theory of differential fields with a cyclic automorphism
Existentially closed models of the theory of differential fields with a cyclic automorphism University of Tsukuba September 15, 2014 Motivation Let C be any field and choose an arbitrary element q C \
More informationForwards and Futures. Chapter Basics of forwards and futures Forwards
Chapter 7 Forwards and Futures Copyright c 2008 2011 Hyeong In Choi, All rights reserved. 7.1 Basics of forwards and futures The financial assets typically stocks we have been dealing with so far are the
More informationLogic and Artificial Intelligence Lecture 24
Logic and Artificial Intelligence Lecture 24 Eric Pacuit Currently Visiting the Center for Formal Epistemology, CMU Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/ epacuit
More informationNotes on the symmetric group
Notes on the symmetric group 1 Computations in the symmetric group Recall that, given a set X, the set S X of all bijections from X to itself (or, more briefly, permutations of X) is group under function
More informationA Confluent Hypergeometric System Associated with Ф 3 and a Confluent Jordan-Pochhammer Equation. Shun Shimomura
Research Report KSTS/RR-98/002 Mar. 11, 1998 A Confluent Hypergeometric System Associated with Ф 3 and a Confluent Jordan-Pochhammer Equation by Department of Mathematics Keio University Department of
More informationDistribution of the Sample Mean
Distribution of the Sample Mean MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2018 Experiment (1 of 3) Suppose we have the following population : 4 8 1 2 3 4 9 1
More informationChapter 7. Confidence Intervals and Sample Sizes. Definition. Definition. Definition. Definition. Confidence Interval : CI. Point Estimate.
Chapter 7 Confidence Intervals and Sample Sizes 7. Estimating a Proportion p 7.3 Estimating a Mean µ (σ known) 7.4 Estimating a Mean µ (σ unknown) 7.5 Estimating a Standard Deviation σ In a recent poll,
More informationComplete Wetting in the Potts Model
Master Thesis Complete Wetting in the Potts Model Daliah Maurer 2012 Supervisor Prof. Uwe-Jens Wiese Institute for Theoretical Physics, University of Bern Abstract The topic of this thesis is the three-dimensional
More informationThe Effect of Central Bank Liquidity Injections on Bank Credit Supply
The Effect of Central Bank Liquidity Injections on Bank Credit Supply Luisa Carpinelli Bank of Italy Matteo Crosignani Federal Reserve Board AFA Meetings Banks and Central Banks Session Chicago, 8 January
More informationDAY I, TALK 5: GLOBAL QUANTUM THEORY (GL-3)
DAY I, TALK 5: GLOBAL QUANTUM THEORY (GL-3) D. ARINKIN Contents 1. Global Langlands Correspondence 1 1.1. Formulation of the global correspondence 1 1.2. Classical limit 2 1.3. Aside: Class field theory
More informationUnary PCF is Decidable
Unary PCF is Decidable Ralph Loader Merton College, Oxford November 1995, revised October 1996 and September 1997. Abstract We show that unary PCF, a very small fragment of Plotkin s PCF [?], has a decidable
More informationSampling Distribution
MAT 2379 (Spring 2012) Sampling Distribution Definition : Let X 1,..., X n be a collection of random variables. We say that they are identically distributed if they have a common distribution. Definition
More informationModular and Distributive Lattices
CHAPTER 4 Modular and Distributive Lattices Background R. P. DILWORTH Imbedding problems and the gluing construction. One of the most powerful tools in the study of modular lattices is the notion of the
More informationHeath Jarrow Morton Framework
CHAPTER 7 Heah Jarrow Moron Framework 7.1. Heah Jarrow Moron Model Definiion 7.1 (Forward-rae dynamics in he HJM model). In he Heah Jarrow Moron model, brieflyhjm model, he insananeous forward ineres rae
More informationA Macro-Finance Model of the Term Structure: the Case for a Quadratic Yield Model
Title page Outline A Macro-Finance Model of the Term Structure: the Case for a 21, June Czech National Bank Structure of the presentation Title page Outline Structure of the presentation: Model Formulation
More informationME3620. Theory of Engineering Experimentation. Spring Chapter III. Random Variables and Probability Distributions.
ME3620 Theory of Engineering Experimentation Chapter III. Random Variables and Probability Distributions Chapter III 1 3.2 Random Variables In an experiment, a measurement is usually denoted by a variable
More informationChapter 3 PREFERENCES AND UTILITY. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved.
Chapter 3 PREFERENCES AND UTILITY Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved. 1 Axioms of Rational Choice ( 理性选择公理 ) Completeness ( 完备性 ) if A and B are any two
More informationχ 2 distributions and confidence intervals for population variance
χ 2 distributions and confidence intervals for population variance Let Z be a standard Normal random variable, i.e., Z N(0, 1). Define Y = Z 2. Y is a non-negative random variable. Its distribution is
More informationModule 4: Probability
Module 4: Probability 1 / 22 Probability concepts in statistical inference Probability is a way of quantifying uncertainty associated with random events and is the basis for statistical inference. Inference
More informationInternational Monetary Theory: Mundell Fleming Redux
International Monetary Theory: Mundell Fleming Redux by Markus K. Brunnermeier and Yuliy Sannikov Princeton and Stanford University Princeton Initiative Princeton, Sept. 9 th, 2017 Motivation Global currency
More informationarxiv: v1 [math.lo] 27 Mar 2009
arxiv:0903.4691v1 [math.lo] 27 Mar 2009 COMBINATORIAL AND MODEL-THEORETICAL PRINCIPLES RELATED TO REGULARITY OF ULTRAFILTERS AND COMPACTNESS OF TOPOLOGICAL SPACES. V. PAOLO LIPPARINI Abstract. We generalize
More informationTENSOR PRODUCT IN CATEGORY O κ.
TENSOR PRODUCT IN CATEGORY O κ. GIORGIA FORTUNA Let V 1,..., V n be ĝ κ -modules. Today we will construct a new object V 1 V n in O κ that plays the role of the usual tensor product. Unfortunately in fact
More informationAlgebra homework 8 Homomorphisms, isomorphisms
MATH-UA.343.005 T.A. Louis Guigo Algebra homework 8 Homomorphisms, isomorphisms For every n 1 we denote by S n the n-th symmetric group. Exercise 1. Consider the following permutations: ( ) ( 1 2 3 4 5
More informationSTART HERE: Instructions. 1 Exponential Family [Zhou, Manzil]
START HERE: Instructions Thanks a lot to John A.W.B. Constanzo and Shi Zong for providing and allowing to use the latex source files for quick preparation of the HW solution. The homework was due at 9:00am
More informationRough Heston models: Pricing, hedging and microstructural foundations
Rough Heston models: Pricing, hedging and microstructural foundations Omar El Euch 1, Jim Gatheral 2 and Mathieu Rosenbaum 1 1 École Polytechnique, 2 City University of New York 7 November 2017 O. El Euch,
More informationL 2 -theoretical study of the relation between the LIBOR market model and the HJM model Takashi Yasuoka
Journal of Math-for-Industry, Vol. 5 (213A-2), pp. 11 16 L 2 -theoretical study of the relation between the LIBOR market model and the HJM model Takashi Yasuoka Received on November 2, 212 / Revised on
More informationABSTRACT GENERALIZING THE FUTURAMA THEOREM. The 2010 episode of Futurama titled The Prisoner of Benda centers
ABSTRACT GENERALIZING THE FUTURAMA THEOREM The 2010 episode of Futurama titled The Prisoner of Benda centers around a machine that swaps the brains of any two people who use it. The problem is, once two
More informationPower in Mixed Effects
Power in Mixed Effects Gary W. Oehlert School of Statistics University of Minnesota December 1, 2014 Power is an important aspect of designing an experiment; we now return to power in mixed effects. We
More information