Asymptotic Behaviour Of Solutions Of Matrix Burgers Equation
|
|
- Virgil Lang
- 7 years ago
- Views:
Transcription
1 Applied Mathematics E-Notes, 727, c ISSN Available free at mirror sites of amen/ Asymptotic Behaviour Of Solutions Of Matrix Burgers Equation Kayyunnapara Thomas Joseph Received 13 July 26 Abstract In this paper, we study the large time behaviour of solutions of initial value problem for a system of parabolic equations which can be written as Matrix Burgers equation. This work generalizes a result of Hopf 195 for the Burgers equation. 1 Introduction In this paper we consider a system of parabolic partial differential equations for the unknown variables u 1,u 1,u 2,..., u N of the form u j t j u i u j i+1 x = 2 u j xx,j =1, 2,..., N 1 i=1 in <x<, t>, with initial conditions at time t =, u j x, = u j x,j =1, 2,..., N. 2 Here > is the viscosity coefficient. The system 1 is called Matrix Burgers equation because it can be written as A t A2 x = 2 A xx. 3 where A =A i,j isan N lower triangular matrix with the i, j-th entry A i,j takes values from {u 1,u 2,..., u N }: A i,j =,j >i,a i+k,i = u k+1,k=1, 2,..., N i, i =1, 2,..., N. The system 1 has a rich mathematical structure and solutions of special cases of this system were studied previously by many authors in the contexts of vanishing viscosity and large time behaviours. The singularity in the solutions of 1 as goes to zero increases as N increases. Mathematics Subject Classifications: 35B4, 35L6. School of Mathematics, TIFR, Homi Bhabha Road, Mumbai 45, India. 186
2 K. T. Joseph 187 When N = 1 the equation 1 is the Burgers equation, u t +1/2u 2 x = 2 u xx. Hopf [2] used the Hopf-Cole transformation u = v x /v to reduce it into the one dimensional heat equation v t = 2 v xx and solved the initial value problem for the Burgers equation explicitly. Letting go to in the formula, he derived an explicit formula for the entropy solution for the inviscid Burgers equation u t +1/2u 2 x = with bounded measurable initial data. For = in 1, the standard theory of Lax [7] does not apply when N>1. Joseph [3] studied the cases N = 2 to construct solution for the Riemann problem for the system of conservation laws u 1 t +1/2u 2 1 x =, u 2 t +u 1 u 2 x =, whose solution does not belong to the L class but may contain δ measures as well. When N = 3, the system 1 is more singular than the cases N = 1, 2 in the passage to the it as goes to zero and was studied in [4] and solutions were constructed in the algebra of generalized functions of Colombeau [1]. Hopf [2], analyzed another aspect of solution of 1 for the case N = 1, that is the asymptotic behaviour of solutions of Burgers equation for large time with >. This result was generalized for the case N = 3 in [6]. In this paper we extend Hopf s work [2] on the large time behaviour of solutions of the Burgers equation to the solutions of the system 1 with initial data 2. For notational convenience we drop the explicit dependence of on the solutions. 2 Explicit Solution and Asymptotic Form An explicit formula for the solution of the initial value problem for 1 and 2 was obtained by Joseph and Vasudeva Murthy [5], using a generalized form of Hopf-Cole transformation. To give this explicit formula we need some notations. Let us consider the polynomial px =a 1 x + a 2 x a N 1 x N 1 of degree N 1 with real coefficients a 1,a 2,..., a N 1. We define E j and L j as coefficients of x j 1 in the power series expansion around x = of the functions exppx and log1 + px respectively. More precisely d j E j+1 a 1,a 2,..., a j = 1 j! dx j [epx ] x=,j =, 1, 2,... 4 and are polynomial of a 1,a 2,..., a j,a j, of degree j. For example the first four coefficients are given by E 1 =1,E 2 a 1 =a 1,E 3 a 1,a 2 =a 2 + a12 2!,E 4a 1,a 2,a 3 =a 3 + a 2 a a 1 3!,E 5a 1,a 2,a 3,a 4 =a 4 + a 3 a 1 + a2a1 2 2! + a a1 4 4!. Similarly d j L j+1 a 1,a 2,..., a j = 1 j! dx [log1 + px] x=,j =1, 2,... 5 j Here again it follows from 5 that L j+1 is a polynomial of a 1,a 2,..., a j of degree j. For example the first four coefficients are given by L 2 a 1 =a 1,L 3 a 1,a 2 =a 2 a !,L 4a 1,a 2,a 3 =a 3 a 1 a 2 + a1 3,L 5a 1,a 2,a 3,a 4 =a 4 a 1 a 3 + a 2 1 a 2 a2 For j =1, 2,...N, let us denote w j x = x 2 2 a u j ydy, 6
3 188 Matrix Burgers Equation E j x =E j w2 y, w 3y,..., w jy where E j is defined by 4. Define the functions v j,j =1, 2,..., N by 1 v j x, t = 2πt 1/2 R 1 E j ye 1 7 [w1y+ x y2 2t ] dy. 8 Since E 1 x =1,v 1 x, t >. Assume that u j x, j =1, 2, N be measurable functions on R 1 with w j defined by 6 satisfy w j x = o x 2, as x. Then it was proved in [5], that u j defined by u 1 x, t = xv 1 x, t v 1 x, t u j x, t = x L j v2 x, t v 1 x, t, v 3x, t v 1 x, t,... v jx, t v 1 x, t 9,j =2, 3,..., N 1 is a classical solution to 1 and 2. The aim of this paper is to study the asymptotic behaviour of this solution as t tends to infinity. We introduce the variable ξ = x/ t and a function which appear in the asymptotic form of the solution, namely V j ξ = E w2 j + E w2 j,..., wj,..., wj e w 1 e w 1 ξ e y2 /2 dy e y2 /2 dy. ξ 11 Since E 1 =1,V 1 ξ >. The main result of the paper is the following. THEOREM. Assume that the initial data u j x,j =1, 2,..., N are integrable, then the solution u j x, t,j =1, 2,..., N of 1 and 2 given by 9 and 1 has the following asymptotic behaviour as t tends to infinity: t/.u1 x, t = d dξ logv 1ξ 12 t/.uj x, t = d V2 ξ L j dξ V 1 ξ, V 3ξ V 1 ξ,..., V jξ,j =2, 3,..., N, 13 V 1 ξ uniformly with respect to the variable ξ = x t. PROOF. To prove this theorem, we write the formula 1 for the solution in a convenient way, namely j 1 v2 u j x, t = k L j,..., v j x v k+1 v k+1 x v 1 v 1 v 1 v 1 v 1 v 1 k=1 where k L j denotes derivative of L j a 1,..., a j with respect to the k-th variable a k. Note that typical terms in these expressions are of the form v j x, t = 1 2πt 14 E j ye 1 x y2 [w1y+ 2t ] dy 15
4 K. T. Joseph 189 and its partial derivative with respect to x, where E j x and w 1 x has finite it as x tends to infinity because of the integrability assumption on u j. Keeping the variable ξ = x/ t fixed, we make a change of variable z = tξ y t and renaming z as y, weget v j x, t = 1 2π E j tξ ye [ w 1 tξ y +y 2 /2] dy. 16 Now we split the integral in 16 in the following fashion. 2πvj x, t = ξ δ E j tξ ye [ 1 w1 tξ y+y 2 /2] dy + ξ+δ E j tξ ye [ 1 w1 tξ y+y 2 /2] dy + ξ+δ ξ δ E j tξ ye [ 1 w1 tξ y+y 2 /2] dy. 17 Now we fix δ> and study each of these integrals as t tends to infinity, we get ξ δ ξ+δ E j tξ ye [ 1 wj tξ y+y 2 /2] dy = e w j E j ξ δ e y2 /2 dy, E j tξ ye [ 1 wj tξ y+y 2 /2] dy = e w j E j e y2 /2 dy, ξ+δ ξ+δ sup E j tξ ye 1 [wj tξ y+y 2 /2] dy = Oδ, ξ δ uniformly with respect to ξ. Now first let t tends to infinity and then δ tends to, in 17 we get ξ 2π.vj x, t =e w 1 E j e y2 /2 dy+e w 1 E j This it is valid uniformly for ξ R 1 and for the x-derivative we have 2πt. x v j x, t =E j e w 1 ξ e y2 /2 dy. 18 E j e w 1 e ξ2 /2. 19 In this analysis, we have used the fact that u j,j =1, 2,..., N are integrable and hence w j,w j,e j,e j exists. Indeed w j = E 1 = 1, and for j =2, 3,..., N u j ydy, w j = E j = E j w2 E j = E j w2 u j ydy 2,..., wj,..., wj 21
5 19 Matrix Burgers Equation Since V 1 ξ > from 11,18,19,2 and 21 we get, for j =1, 2,..., N v j x, t v 1 x, t = V jξ V 1 ξ, 22 x v j x, t.t = V jξ v 1 x, t V 1 ξ, 23 uniformly with respect to ξ. Here V j ξ means derivative of V 1 ξ with respect to ξ. From 9, 14, 22 and 23, we get t/u1 x, t = V 1ξ V 1 ξ, t/.uj x, t = j 1 k=1 kl j = d L V2ξ dξ j V2ξ V 1ξ, V3ξ V 1ξ V, V3ξ 1ξ V 1ξ Vjξ,..., V 1ξ,..., Vj ξ V 1ξ V k+1 ξ V 1ξ Vk+1ξ V 1ξ. V 1 ξ V 1ξ The proof of the theorem is complete. ACKNOWLEDGMENTS. This work is supported by a grant number from the Indo-French Centre for the promotion of advanced Research, IFCPAR Centre Franco-Indien pour la promotion de la Recherche Avancee, CEFIPRA, New Delhi. References [1] J. F. Colombeau, New Generalized Functions and Multiplication of Distributions, North Holland, Amsterdam, [2] E. Hopf, The partial differential equation u t +uu x = u xx, Comm. Pure Appl.Math., 3195, [3] K. T. Joseph, A Riemann problem whose viscosity solution contain δ-measures, Asym.Anal., 71993, [4] K. T. Joseph, Explicit generalized solutions to a system of conservation laws, Proc. Indian Acad. Sci. Math. Sci., , [5] K. T. Joseph and A. S. Vasudeva Murthy, Hopf-Cole transformation to some systems of partial differential equations, Nonlinear Diff. Equ. Appl., [6] K. T. Joseph, Asymptotic behaviour of solutions of a system of viscous conservation laws, Appl. Math. E-Notes, 525, [7] P. D. Lax, Hyperbolic systems of conservation laws II, Comm. Pure Appl. Math., 11957,
Mathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationJUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson
JUST THE MATHS UNIT NUMBER 1.8 ALGEBRA 8 (Polynomials) by A.J.Hobson 1.8.1 The factor theorem 1.8.2 Application to quadratic and cubic expressions 1.8.3 Cubic equations 1.8.4 Long division of polynomials
More informationThe Characteristic Polynomial
Physics 116A Winter 2011 The Characteristic Polynomial 1 Coefficients of the characteristic polynomial Consider the eigenvalue problem for an n n matrix A, A v = λ v, v 0 (1) The solution to this problem
More informationCollege of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions
College of the Holy Cross, Spring 29 Math 373, Partial Differential Equations Midterm 1 Practice Questions 1. (a) Find a solution of u x + u y + u = xy. Hint: Try a polynomial of degree 2. Solution. Use
More informationNOTES ON LINEAR TRANSFORMATIONS
NOTES ON LINEAR TRANSFORMATIONS Definition 1. Let V and W be vector spaces. A function T : V W is a linear transformation from V to W if the following two properties hold. i T v + v = T v + T v for all
More informationCritical Thresholds in Euler-Poisson Equations. Shlomo Engelberg Jerusalem College of Technology Machon Lev
Critical Thresholds in Euler-Poisson Equations Shlomo Engelberg Jerusalem College of Technology Machon Lev 1 Publication Information This work was performed with Hailiang Liu & Eitan Tadmor. These results
More informationClass Meeting # 1: Introduction to PDEs
MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x
More informationSOLVING LINEAR SYSTEMS
SOLVING LINEAR SYSTEMS Linear systems Ax = b occur widely in applied mathematics They occur as direct formulations of real world problems; but more often, they occur as a part of the numerical analysis
More informationLet H and J be as in the above lemma. The result of the lemma shows that the integral
Let and be as in the above lemma. The result of the lemma shows that the integral ( f(x, y)dy) dx is well defined; we denote it by f(x, y)dydx. By symmetry, also the integral ( f(x, y)dx) dy is well defined;
More informationCOMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS
Bull Austral Math Soc 77 (2008), 31 36 doi: 101017/S0004972708000038 COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V EROVENKO and B SURY (Received 12 April 2007) Abstract We compute
More information4.3 Lagrange Approximation
206 CHAP. 4 INTERPOLATION AND POLYNOMIAL APPROXIMATION Lagrange Polynomial Approximation 4.3 Lagrange Approximation Interpolation means to estimate a missing function value by taking a weighted average
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More information2.3. Finding polynomial functions. An Introduction:
2.3. Finding polynomial functions. An Introduction: As is usually the case when learning a new concept in mathematics, the new concept is the reverse of the previous one. Remember how you first learned
More informationCOMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS
COMMUTATIVITY DEGREES OF WREATH PRODUCTS OF FINITE ABELIAN GROUPS IGOR V. EROVENKO AND B. SURY ABSTRACT. We compute commutativity degrees of wreath products A B of finite abelian groups A and B. When B
More informationNotes on metric spaces
Notes on metric spaces 1 Introduction The purpose of these notes is to quickly review some of the basic concepts from Real Analysis, Metric Spaces and some related results that will be used in this course.
More informationProperties of BMO functions whose reciprocals are also BMO
Properties of BMO functions whose reciprocals are also BMO R. L. Johnson and C. J. Neugebauer The main result says that a non-negative BMO-function w, whose reciprocal is also in BMO, belongs to p> A p,and
More informationa 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.
Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given
More information5 Numerical Differentiation
D. Levy 5 Numerical Differentiation 5. Basic Concepts This chapter deals with numerical approximations of derivatives. The first questions that comes up to mind is: why do we need to approximate derivatives
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +
More informationFinite speed of propagation in porous media. by mass transportation methods
Finite speed of propagation in porous media by mass transportation methods José Antonio Carrillo a, Maria Pia Gualdani b, Giuseppe Toscani c a Departament de Matemàtiques - ICREA, Universitat Autònoma
More informationFactoring Cubic Polynomials
Factoring Cubic Polynomials Robert G. Underwood 1. Introduction There are at least two ways in which using the famous Cardano formulas (1545) to factor cubic polynomials present more difficulties than
More informationAlgebraic and Transcendental Numbers
Pondicherry University July 2000 Algebraic and Transcendental Numbers Stéphane Fischler This text is meant to be an introduction to algebraic and transcendental numbers. For a detailed (though elementary)
More informationComputing divisors and common multiples of quasi-linear ordinary differential equations
Computing divisors and common multiples of quasi-linear ordinary differential equations Dima Grigoriev CNRS, Mathématiques, Université de Lille Villeneuve d Ascq, 59655, France Dmitry.Grigoryev@math.univ-lille1.fr
More informationRESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS
RESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS T. J. CHRISTIANSEN Abstract. We consider scattering by an obstacle in R d, d 3 odd. We show that for the Neumann Laplacian if
More informationMATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set.
MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set. Vector space A vector space is a set V equipped with two operations, addition V V (x,y) x + y V and scalar
More informationA STABILITY RESULT ON MUCKENHOUPT S WEIGHTS
Publicacions Matemàtiques, Vol 42 (998), 53 63. A STABILITY RESULT ON MUCKENHOUPT S WEIGHTS Juha Kinnunen Abstract We prove that Muckenhoupt s A -weights satisfy a reverse Hölder inequality with an explicit
More informationCharacterization Of Polynomials Using Reflection Coefficients
Applied Mathematics E-Notes, 4(2004), 114-121 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ Characterization Of Polynomials Using Reflection Coefficients José LuisDíaz-Barrero,JuanJosé
More informationBANACH AND HILBERT SPACE REVIEW
BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but
More informationEquations, Inequalities & Partial Fractions
Contents Equations, Inequalities & Partial Fractions.1 Solving Linear Equations 2.2 Solving Quadratic Equations 1. Solving Polynomial Equations 1.4 Solving Simultaneous Linear Equations 42.5 Solving Inequalities
More informationCONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian. Pasquale Candito and Giuseppina D Aguí
Opuscula Math. 34 no. 4 2014 683 690 http://dx.doi.org/10.7494/opmath.2014.34.4.683 Opuscula Mathematica CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian Pasquale
More informationPartial Fractions. Combining fractions over a common denominator is a familiar operation from algebra:
Partial Fractions Combining fractions over a common denominator is a familiar operation from algebra: From the standpoint of integration, the left side of Equation 1 would be much easier to work with than
More informationOn using numerical algebraic geometry to find Lyapunov functions of polynomial dynamical systems
Dynamics at the Horsetooth Volume 2, 2010. On using numerical algebraic geometry to find Lyapunov functions of polynomial dynamical systems Eric Hanson Department of Mathematics Colorado State University
More informationOverview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model
Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model 1 September 004 A. Introduction and assumptions The classical normal linear regression model can be written
More informationby the matrix A results in a vector which is a reflection of the given
Eigenvalues & Eigenvectors Example Suppose Then So, geometrically, multiplying a vector in by the matrix A results in a vector which is a reflection of the given vector about the y-axis We observe that
More informationMATH 425, PRACTICE FINAL EXAM SOLUTIONS.
MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator
More informationPartial Fractions Examples
Partial Fractions Examples Partial fractions is the name given to a technique of integration that may be used to integrate any ratio of polynomials. A ratio of polynomials is called a rational function.
More informationIntroduction to Algebraic Geometry. Bézout s Theorem and Inflection Points
Introduction to Algebraic Geometry Bézout s Theorem and Inflection Points 1. The resultant. Let K be a field. Then the polynomial ring K[x] is a unique factorisation domain (UFD). Another example of a
More informationDoes Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem
Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem Gagan Deep Singh Assistant Vice President Genpact Smart Decision Services Financial
More informationCONTRIBUTIONS TO ZERO SUM PROBLEMS
CONTRIBUTIONS TO ZERO SUM PROBLEMS S. D. ADHIKARI, Y. G. CHEN, J. B. FRIEDLANDER, S. V. KONYAGIN AND F. PAPPALARDI Abstract. A prototype of zero sum theorems, the well known theorem of Erdős, Ginzburg
More informationTypical Linear Equation Set and Corresponding Matrices
EWE: Engineering With Excel Larsen Page 1 4. Matrix Operations in Excel. Matrix Manipulations: Vectors, Matrices, and Arrays. How Excel Handles Matrix Math. Basic Matrix Operations. Solving Systems of
More informationPacific Journal of Mathematics
Pacific Journal of Mathematics GLOBAL EXISTENCE AND DECREASING PROPERTY OF BOUNDARY VALUES OF SOLUTIONS TO PARABOLIC EQUATIONS WITH NONLOCAL BOUNDARY CONDITIONS Sangwon Seo Volume 193 No. 1 March 2000
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a
More informationCounting Primes whose Sum of Digits is Prime
2 3 47 6 23 Journal of Integer Sequences, Vol. 5 (202), Article 2.2.2 Counting Primes whose Sum of Digits is Prime Glyn Harman Department of Mathematics Royal Holloway, University of London Egham Surrey
More informationFIRST YEAR CALCULUS. Chapter 7 CONTINUITY. It is a parabola, and we can draw this parabola without lifting our pencil from the paper.
FIRST YEAR CALCULUS WWLCHENW L c WWWL W L Chen, 1982, 2008. 2006. This chapter originates from material used by the author at Imperial College, University of London, between 1981 and 1990. It It is is
More informationARBITRAGE-FREE OPTION PRICING MODELS. Denis Bell. University of North Florida
ARBITRAGE-FREE OPTION PRICING MODELS Denis Bell University of North Florida Modelling Stock Prices Example American Express In mathematical finance, it is customary to model a stock price by an (Ito) stochatic
More informationMATHEMATICS BONUS FILES for faculty and students http://www2.onu.edu/~mcaragiu1/bonus_files.html
MATHEMATICS BONUS FILES for faculty and students http://www2onuedu/~mcaragiu1/bonus_fileshtml RECEIVED: November 1 2007 PUBLISHED: November 7 2007 Solving integrals by differentiation with respect to a
More informationEXISTENCE AND NON-EXISTENCE RESULTS FOR A NONLINEAR HEAT EQUATION
Sixth Mississippi State Conference on Differential Equations and Computational Simulations, Electronic Journal of Differential Equations, Conference 5 (7), pp. 5 65. ISSN: 7-669. UL: http://ejde.math.txstate.edu
More informationTHE DYING FIBONACCI TREE. 1. Introduction. Consider a tree with two types of nodes, say A and B, and the following properties:
THE DYING FIBONACCI TREE BERNHARD GITTENBERGER 1. Introduction Consider a tree with two types of nodes, say A and B, and the following properties: 1. Let the root be of type A.. Each node of type A produces
More informationAu = = = 3u. Aw = = = 2w. so the action of A on u and w is very easy to picture: it simply amounts to a stretching by 3 and 2, respectively.
Chapter 7 Eigenvalues and Eigenvectors In this last chapter of our exploration of Linear Algebra we will revisit eigenvalues and eigenvectors of matrices, concepts that were already introduced in Geometry
More informationThe Ideal Class Group
Chapter 5 The Ideal Class Group We will use Minkowski theory, which belongs to the general area of geometry of numbers, to gain insight into the ideal class group of a number field. We have already mentioned
More informationLinear Algebra Notes for Marsden and Tromba Vector Calculus
Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of
More informationarxiv:math/0601660v3 [math.nt] 25 Feb 2006
NOTES Edited by William Adkins arxiv:math/666v3 [math.nt] 25 Feb 26 A Short Proof of the Simple Continued Fraction Expansion of e Henry Cohn. INTRODUCTION. In [3], Euler analyzed the Riccati equation to
More informationMATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets.
MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets. Norm The notion of norm generalizes the notion of length of a vector in R n. Definition. Let V be a vector space. A function α
More informationSecond Order Linear Partial Differential Equations. Part I
Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction
More informationA PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS. In memory of Rou-Huai Wang
A PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS XAVIER CABRÉ, MANEL SANCHÓN, AND JOEL SPRUCK In memory of Rou-Huai Wang 1. Introduction In this note we consider semistable
More informationORDINARY DIFFERENTIAL EQUATIONS
ORDINARY DIFFERENTIAL EQUATIONS GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. SEPTEMBER 4, 25 Summary. This is an introduction to ordinary differential equations.
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES Contents 1. Random variables and measurable functions 2. Cumulative distribution functions 3. Discrete
More informationFACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z
FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization
More information1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
More informationDifferentiation and Integration
This material is a supplement to Appendix G of Stewart. You should read the appendix, except the last section on complex exponentials, before this material. Differentiation and Integration Suppose we have
More informationSome strong sufficient conditions for cyclic homogeneous polynomial inequalities of degree four in nonnegative variables
Available online at www.tjnsa.com J. Nonlinear Sci. Appl. 6 (013), 74 85 Research Article Some strong sufficient conditions for cyclic homogeneous polynomial inequalities of degree four in nonnegative
More informationTHE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS
THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear
More information9.2 Summation Notation
9. Summation Notation 66 9. Summation Notation In the previous section, we introduced sequences and now we shall present notation and theorems concerning the sum of terms of a sequence. We begin with a
More informationThe sum of digits of polynomial values in arithmetic progressions
The sum of digits of polynomial values in arithmetic progressions Thomas Stoll Institut de Mathématiques de Luminy, Université de la Méditerranée, 13288 Marseille Cedex 9, France E-mail: stoll@iml.univ-mrs.fr
More informationMatrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws.
Matrix Algebra A. Doerr Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Some Basic Matrix Laws Assume the orders of the matrices are such that
More informationOn computer algebra-aided stability analysis of dierence schemes generated by means of Gr obner bases
On computer algebra-aided stability analysis of dierence schemes generated by means of Gr obner bases Vladimir Gerdt 1 Yuri Blinkov 2 1 Laboratory of Information Technologies Joint Institute for Nuclear
More informationDIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents
DIFFERENTIABILITY OF COMPLEX FUNCTIONS Contents 1. Limit definition of a derivative 1 2. Holomorphic functions, the Cauchy-Riemann equations 3 3. Differentiability of real functions 5 4. A sufficient condition
More informationRINGS WITH A POLYNOMIAL IDENTITY
RINGS WITH A POLYNOMIAL IDENTITY IRVING KAPLANSKY 1. Introduction. In connection with his investigation of projective planes, M. Hall [2, Theorem 6.2]* proved the following theorem: a division ring D in
More informationUNCORRECTED PAGE PROOFS
number and and algebra TopIC 17 Polynomials 17.1 Overview Why learn this? Just as number is learned in stages, so too are graphs. You have been building your knowledge of graphs and functions over time.
More informationReal Roots of Univariate Polynomials with Real Coefficients
Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials
More information1. Prove that the empty set is a subset of every set.
1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since
More informationTaylor and Maclaurin Series
Taylor and Maclaurin Series In the preceding section we were able to find power series representations for a certain restricted class of functions. Here we investigate more general problems: Which functions
More informationIntroduction to the Finite Element Method
Introduction to the Finite Element Method 09.06.2009 Outline Motivation Partial Differential Equations (PDEs) Finite Difference Method (FDM) Finite Element Method (FEM) References Motivation Figure: cross
More informationMachine Learning and Pattern Recognition Logistic Regression
Machine Learning and Pattern Recognition Logistic Regression Course Lecturer:Amos J Storkey Institute for Adaptive and Neural Computation School of Informatics University of Edinburgh Crichton Street,
More informationSome Problems of Second-Order Rational Difference Equations with Quadratic Terms
International Journal of Difference Equations ISSN 0973-6069, Volume 9, Number 1, pp. 11 21 (2014) http://campus.mst.edu/ijde Some Problems of Second-Order Rational Difference Equations with Quadratic
More informationOn some classes of difference equations of infinite order
Vasilyev and Vasilyev Advances in Difference Equations (2015) 2015:211 DOI 10.1186/s13662-015-0542-3 R E S E A R C H Open Access On some classes of difference equations of infinite order Alexander V Vasilyev
More informationPrime numbers and prime polynomials. Paul Pollack Dartmouth College
Prime numbers and prime polynomials Paul Pollack Dartmouth College May 1, 2008 Analogies everywhere! Analogies in elementary number theory (continued fractions, quadratic reciprocity, Fermat s last theorem)
More informationKiller Te categors of Subspace in CpNN
Three observations regarding Schatten p classes Gideon Schechtman Abstract The paper contains three results, the common feature of which is that they deal with the Schatten p class. The first is a presentation
More informationHøgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver
Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point
More informationPrime Numbers and Irreducible Polynomials
Prime Numbers and Irreducible Polynomials M. Ram Murty The similarity between prime numbers and irreducible polynomials has been a dominant theme in the development of number theory and algebraic geometry.
More informationMATHEMATICAL METHODS OF STATISTICS
MATHEMATICAL METHODS OF STATISTICS By HARALD CRAMER TROFESSOK IN THE UNIVERSITY OF STOCKHOLM Princeton PRINCETON UNIVERSITY PRESS 1946 TABLE OF CONTENTS. First Part. MATHEMATICAL INTRODUCTION. CHAPTERS
More informationDifferentiating under an integral sign
CALIFORNIA INSTITUTE OF TECHNOLOGY Ma 2b KC Border Introduction to Probability and Statistics February 213 Differentiating under an integral sign In the derivation of Maximum Likelihood Estimators, or
More informationDifferential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation
Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of
More informationVector and Matrix Norms
Chapter 1 Vector and Matrix Norms 11 Vector Spaces Let F be a field (such as the real numbers, R, or complex numbers, C) with elements called scalars A Vector Space, V, over the field F is a non-empty
More informationON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION. E. I. Pancheva, A. Gacovska-Barandovska
Pliska Stud. Math. Bulgar. 22 (2015), STUDIA MATHEMATICA BULGARICA ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION E. I. Pancheva, A. Gacovska-Barandovska Smirnov (1949) derived four
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
More informationHow To Prove The Dirichlet Unit Theorem
Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if
More informationA characterization of trace zero symmetric nonnegative 5x5 matrices
A characterization of trace zero symmetric nonnegative 5x5 matrices Oren Spector June 1, 009 Abstract The problem of determining necessary and sufficient conditions for a set of real numbers to be the
More informationRev. Mat. Iberoam, 17 (1), 49{419 Dynamical instability of symmetric vortices Lus Almeida and Yan Guo Abstract. Using the Maxwell-Higgs model, we prove that linearly unstable symmetric vortices in the
More informationMATH1231 Algebra, 2015 Chapter 7: Linear maps
MATH1231 Algebra, 2015 Chapter 7: Linear maps A/Prof. Daniel Chan School of Mathematics and Statistics University of New South Wales danielc@unsw.edu.au Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter
More informationMicroeconomic Theory: Basic Math Concepts
Microeconomic Theory: Basic Math Concepts Matt Van Essen University of Alabama Van Essen (U of A) Basic Math Concepts 1 / 66 Basic Math Concepts In this lecture we will review some basic mathematical concepts
More information8.1. Cramer s Rule for Solving Simultaneous Linear Equations. Introduction. Prerequisites. Learning Outcomes. Learning Style
Cramer s Rule for Solving Simultaneous Linear Equations 8.1 Introduction The need to solve systems of linear equations arises frequently in engineering. The analysis of electric circuits and the control
More informationExistence de solutions à support compact pour un problème elliptique quasilinéaire
Existence de solutions à support compact pour un problème elliptique quasilinéaire Jacques Giacomoni, Habib Mâagli, Paul Sauvy Université de Pau et des Pays de l Adour, L.M.A.P. Faculté de sciences de
More informationMATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.
MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column
More informationMath 55: Discrete Mathematics
Math 55: Discrete Mathematics UC Berkeley, Spring 2012 Homework # 9, due Wednesday, April 11 8.1.5 How many ways are there to pay a bill of 17 pesos using a currency with coins of values of 1 peso, 2 pesos,
More informationExact Solutions to a Generalized Sharma Tasso Olver Equation
Applied Mathematical Sciences, Vol. 5, 2011, no. 46, 2289-2295 Exact Solutions to a Generalized Sharma Tasso Olver Equation Alvaro H. Salas Universidad de Caldas, Manizales, Colombia Universidad Nacional
More informationMath 4310 Handout - Quotient Vector Spaces
Math 4310 Handout - Quotient Vector Spaces Dan Collins The textbook defines a subspace of a vector space in Chapter 4, but it avoids ever discussing the notion of a quotient space. This is understandable
More information