1 angle.mcd Inner product and angle between two vectors. Note that a function is a special case of a vector. Instructor: Nam Sun Wang. x.
|
|
- Moris Spencer
- 6 years ago
- Views:
Transcription
1 angle.mcd Inner product and angle between two vectors. Note that a function is a special case of a vector. Instructor: Nam Sun Wang Define angle between two vectors & y:. y. y. cos( ) (, y). y. y Projection of into y is the inner product of (,y) in the direction of y. (. y). y projection(, y) ( y ) Eample: y Mathcad note: there is a "." after, so that we can do symbolic evaluation later on this worksheet., y deg Schwarz inequality:. y. y "" for "true" Triangular inequality: y y projection, y Eample: sin(. ) sin(. ) projection, y projection, y.577. ( f,. mag( ( f,... Thus, for sine & cosine functions, the angle between the functions vectors coincides with the phase angle. Cross product (torque radius force) torque( r, r F ( r, An eample: asin r r. F F r F torque( r, ( r, deg
2 angle.mcd Define inner product between two functions (and the definition of magnitude naturally follows) An eample:. ( f, f ( ) f ( ) f 3 ( ) f 4 ( ) 3. mag( f, f 9 deg f, f deg f, f 4 9 deg & are not orthogonal. f, f 3 9 deg f, f deg & 3 are not orthogonal. f 3, f 4 9 deg Gram-Schmidt Process. Problem Statement: Given power series f j, construct orthogonal vectors/functions e j. Below ee j are the analytical results. e ( ) f ( ) e ( ) ee ( ) prod e, f prod e e ( ) f ( )., f e ( )... o.k. prod e, e prod e, e e ( ) ee ( ) Mathcad got overwhelmed between e and e 3 and subsequently failed to calculate e 3 and e 4 correctly. prod e, f prod e, f 3 prod e, f prod e, f prod e, prod e, e prod e, e e prod e, e The ratio of the inner product in the second term should have been, not : prod ee, f 3 prod ee, ee.667 prod e, f 3 prod e e 3 ( ) f 3 ( )., f 3 e ( ). e ( ) prod e, e prod e, e prod ee, f 3 prod ee, ee e 3 ( ) 3 ee 3 ( ) 3 prod e, f 4 e 4 ( ) f 4 ( ). e ( ) prod e, e prod e, f 4. e ( ) prod e, e prod e 3, f 4. e 3 ( ) prod e 3, e 3 e 4 ( ) ee 4 ( )
3 , angle.mcd Comparison of numerical results and analytical results. e ( ) ee ( ) e ( ) e 3 ( ) ee ( ) ee 3 ( ) e 4 ( ) ee 4 ( ) Check: (Numerical results are no good.).5.5 e, e 9 deg e, e deg e, e i deg Check: (Analytical results are o.k.) e, e deg e, e i deg e 3, e i deg ee, ee 9 deg ee, ee 3 9 deg ee, ee 4 9 deg ee, ee 3 9 deg ee, ee 4 9 deg ee 3, ee 4 Orthogonal polynomials (Legendre Polynomials.. un-normalized): P ( ) P ( ) P ( ).. 3 P 3 ( ). 9 deg P 4 ( ). 8 P, P 9 deg P, P 9 deg P, P 3 9 deg P, P 4 9 deg P, P 9 deg P, P 3 9 deg P, P 4 9 deg Generating equation for Legendre polynomials:. n P(, n) if n,,.. P(, ) n n n. n P, P 3 9 deg P, P 4 9 deg P(, n ) P 3, P deg The above is a recursive definition that does not work in version 5, but may work in version 6 (provided that we take care of n). Legendre Polynomials of the Second Kind.. not quite mutually orthogonal based on the preceding definition of inner product: Q ( ) ln Q ( ). Q ( ) Q ( ) P. 3 3 ( ) Q ( ). Q, Q 9 deg Q, Q deg Q, Q 7.86 deg
4 4 angle.mcd For certain applications, a different interval is useful. ( f, An eample:... mag( sin( ) cos( ) ( f, 9 deg mag( ) sin( ) sin(. ) ( f, sin( ) sin( 3. ) ( f, cos( ) cos(. ) ( f, 9 deg 9 deg 9 deg sin(. ) cos( 3. ) ( f, 9 deg sin( ) sin( ) sin sin 4 g ( f, 9 deg Another interpretation of angle ( f, 45 deg Another interpretation of angle Thus, sine and cosine functions have the nice property that they are orthogonal to each other. For other applications, a weighting factor may be included. w( ) ( f, w( )... mag( Eample: Chebychev Polynomials. T ( ) T ( ) T ( ). T 3 ( ) T 4 ( ) T, T 9 deg T, T 9 deg T, T 3 9 deg T, T 4 9 deg T, T 9 deg T, T 3 9 deg T, T 4 9 deg T, T 3 9 deg T, T 4 9 deg T 3, T 4 9 deg
5 5 angle.mcd Yet for other applications, a semi-infinite interval is useful, and a weighting factor may be included. w( ) ep( ) ( f, w( )... mag( Eample: Laguerre polynomials. L ( ) L ( ) L ( ) 4. L 3 ( ) L 4 ( ) Although the integrals do not converge numerically (because the upper intergration limit is ), they converge to symbolically. ep( ). L. ( ) L ( ) not converging The angles, calculated symbolically, are: L, L. L, L ep( ). L. ( ) L ( ) ep( ). L. ( ) L ( )., L L 3 L, L. L, L 3., L L 4., L L 4 L, L. 3 L, L 4... L 3, L. 4
6 6 angle.mcd Yet for other applications, an infinite interval is useful, and a weighting factor may be included. w( ) ep ( f, w( )... mag( Eample: Hermite polynomials. H ( ) H ( ). H ( ) 4. H 3 ( ) H 4 ( ) Although the integrals do not converge numerically (because the upper intergration limit is ), they converge to symbolically. overflow ep z. H. ( z) H ( z) dz The angles, calculated symbolically, are: H, H. H, H ep z. H. ( z) H ( z) dz ep z. H. ( z) H ( z) dz., H H 3 H, H. H, H 3., H H 4., H H 4 H, H. 3 H, H 4... H 3, H. 4
which arises when we compute the orthogonal projection of a vector y in a subspace with an orthogonal basis. Hence assume that P y = A ij = x j, x i
MODULE 6 Topics: Gram-Schmidt orthogonalization process We begin by observing that if the vectors {x j } N are mutually orthogonal in an inner product space V then they are necessarily linearly independent.
More informationThe Gram matrix in inner product modules over C -algebras
The Gram matrix in inner product modules over C -algebras Ljiljana Arambašić (joint work with D. Bakić and M.S. Moslehian) Department of Mathematics University of Zagreb Applied Linear Algebra May 24 28,
More informationBest approximation in the 2-norm
Best approximation in the 2-norm Department of Mathematical Sciences, NTNU september 26th 2012 Vector space A real vector space V is a set with a 0 element and three operations: Addition: x, y V then x
More informationApplied Linear Algebra in Geoscience Using MATLAB
Applied Linear Algebra in Geoscience Using MATLAB Contents Getting Started Creating Arrays Mathematical Operations with Arrays Using Script Files and Managing Data Two-Dimensional Plots Programming in
More informationProperties of a Taylor Polynomial
3.4.4: Still Better Approximations: Taylor Polynomials Properties of a Taylor Polynomial Constant: f (x) f (a) Linear: f (x) f (a) + f (a)(x a) Quadratic: f (x) f (a) + f (a)(x a) + 1 2 f (a)(x a) 2 3.4.4:
More informationLinear Independence. Stephen Boyd. EE103 Stanford University. October 9, 2017
Linear Independence Stephen Boyd EE103 Stanford University October 9, 2017 Outline Linear independence Basis Orthonormal vectors Gram-Schmidt algorithm Linear independence 2 Linear dependence set of n-vectors
More information+ y = 1 : the polynomial
Notes on Basic Ideas of Spherical Harmonics In the representation of wavefields (solutions of the wave equation) one of the natural considerations that arise along the lines of Huygens Principle is the
More informationInner Product Spaces An inner product on a complex linear space X is a function x y from X X C such that. (1) (2) (3) x x > 0 for x 0.
Inner Product Spaces An inner product on a complex linear space X is a function x y from X X C such that (1) () () (4) x 1 + x y = x 1 y + x y y x = x y x αy = α x y x x > 0 for x 0 Consequently, (5) (6)
More informationSection 5.2 Series Solution Near Ordinary Point
DE Section 5.2 Series Solution Near Ordinary Point Page 1 of 5 Section 5.2 Series Solution Near Ordinary Point We are interested in second order homogeneous linear differential equations with variable
More informationi x i y i
Department of Mathematics MTL107: Numerical Methods and Computations Exercise Set 8: Approximation-Linear Least Squares Polynomial approximation, Chebyshev Polynomial approximation. 1. Compute the linear
More informationM.Sc. DEGREE EXAMINATION, DECEMBER First Year. Physics. Paper I MATHEMATICAL PHYSICS. Answer any FIVE questions.
(DPHY 01) M.Sc. DEGREE EXAMINATION, DECEMBER 009. Paper I MATHEMATICAL PHYSICS (5 0 = 100) 1. (a) Obtain the series solution for Legendre s differential equation. (b) Evaluate : J ( ) 1.. (a) Starting
More informationPARTIAL DIFFERENTIAL EQUATIONS and BOUNDARY VALUE PROBLEMS
PARTIAL DIFFERENTIAL EQUATIONS and BOUNDARY VALUE PROBLEMS NAKHLE H. ASMAR University of Missouri PRENTICE HALL, Upper Saddle River, New Jersey 07458 Contents Preface vii A Preview of Applications and
More informationInner products. Theorem (basic properties): Given vectors u, v, w in an inner product space V, and a scalar k, the following properties hold:
Inner products Definition: An inner product on a real vector space V is an operation (function) that assigns to each pair of vectors ( u, v) in V a scalar u, v satisfying the following axioms: 1. u, v
More informationMath 113 (Calculus 2) Exam 4
Math 3 (Calculus ) Exam 4 November 0 November, 009 Sections 0, 3 7 Name Student ID Section Instructor In some cases a series may be seen to converge or diverge for more than one reason. For such problems
More informationSolving Linear Time Varying Systems by Orthonormal Bernstein Polynomials
Science Journal of Applied Mathematics and Statistics 2015; 3(4): 194-198 Published online July 27, 2015 (http://www.sciencepublishinggroup.com/j/sjams) doi: 10.11648/j.sjams.20150304.15 ISSN: 2376-9491
More informationRecall that any inner product space V has an associated norm defined by
Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner
More informationSection 7.5 Inner Product Spaces
Section 7.5 Inner Product Spaces With the dot product defined in Chapter 6, we were able to study the following properties of vectors in R n. ) Length or norm of a vector u. ( u = p u u ) 2) Distance of
More informationNumerical integration and differentiation. Unit IV. Numerical Integration and Differentiation. Plan of attack. Numerical integration.
Unit IV Numerical Integration and Differentiation Numerical integration and differentiation quadrature classical formulas for equally spaced nodes improper integrals Gaussian quadrature and orthogonal
More informationhomogeneous 71 hyperplane 10 hyperplane 34 hyperplane 69 identity map 171 identity map 186 identity map 206 identity matrix 110 identity matrix 45
address 12 adjoint matrix 118 alternating 112 alternating 203 angle 159 angle 33 angle 60 area 120 associative 180 augmented matrix 11 axes 5 Axiom of Choice 153 basis 178 basis 210 basis 74 basis test
More informationMath 261 Lecture Notes: Sections 6.1, 6.2, 6.3 and 6.4 Orthogonal Sets and Projections
Math 6 Lecture Notes: Sections 6., 6., 6. and 6. Orthogonal Sets and Projections We will not cover general inner product spaces. We will, however, focus on a particular inner product space the inner product
More informationMath 102, Winter Final Exam Review. Chapter 1. Matrices and Gaussian Elimination
Math 0, Winter 07 Final Exam Review Chapter. Matrices and Gaussian Elimination { x + x =,. Different forms of a system of linear equations. Example: The x + 4x = 4. [ ] [ ] [ ] vector form (or the column
More informationQuadratic and Polynomial Inequalities in one variable have look like the example below.
Section 8 4: Polynomial Inequalities in One Variable Quadratic and Polynomial Inequalities in one variable have look like the example below. x 2 5x 6 0 (x 2) (x + 4) > 0 x 2 (x 3) > 0 (x 2) 2 (x + 4) 0
More informationPhysics 6303 Lecture 11 September 24, LAST TIME: Cylindrical coordinates, spherical coordinates, and Legendre s equation
Physics 6303 Lecture September 24, 208 LAST TIME: Cylindrical coordinates, spherical coordinates, and Legendre s equation, l l l l l l. Consider problems that are no axisymmetric; i.e., the potential depends
More informationFourier Series Code. James K. Peterson. April 9, Department of Biological Sciences and Department of Mathematical Sciences Clemson University
Fourier Series Code James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University April 9, 2018 Outline 1 We will need to approximate Fourier series expansions
More informationMATH 167: APPLIED LINEAR ALGEBRA Chapter 3
MATH 167: APPLIED LINEAR ALGEBRA Chapter 3 Jesús De Loera, UC Davis February 18, 2012 Orthogonal Vectors and Subspaces (3.1). In real life vector spaces come with additional METRIC properties!! We have
More informationLecture 16: Special Functions. In Maple, Hermite polynomials are predefined as HermiteH(n,x) The first few Hermite polynomials are: simplify.
Lecture 16: Special Functions 1. Key points Hermite differential equation: Legendre's differential equation: Bessel's differential equation: Modified Bessel differential equation: Spherical Bessel differential
More informationINTEGRAL TRANSFORMS and THEIR APPLICATIONS
INTEGRAL TRANSFORMS and THEIR APPLICATIONS Lokenath Debnath Professor and Chair of Mathematics and Professor of Mechanical and Aerospace Engineering University of Central Florida Orlando, Florida CRC Press
More informationINNER PRODUCT SPACE. Definition 1
INNER PRODUCT SPACE Definition 1 Suppose u, v and w are all vectors in vector space V and c is any scalar. An inner product space on the vectors space V is a function that associates with each pair of
More informationChapter 5.3: Series solution near an ordinary point
Chapter 5.3: Series solution near an ordinary point We continue to study ODE s with polynomial coefficients of the form: P (x)y + Q(x)y + R(x)y = 0. Recall that x 0 is an ordinary point if P (x 0 ) 0.
More informationChapter 1. Preliminaries. The purpose of this chapter is to provide some basic background information. Linear Space. Hilbert Space.
Chapter 1 Preliminaries The purpose of this chapter is to provide some basic background information. Linear Space Hilbert Space Basic Principles 1 2 Preliminaries Linear Space The notion of linear space
More informationTAYLOR AND MACLAURIN SERIES
TAYLOR AND MACLAURIN SERIES. Introduction Last time, we were able to represent a certain restricted class of functions as power series. This leads us to the question: can we represent more general functions
More informationWORKSHEET FOR THE PRELIMINARY EXAMINATION-REAL ANALYSIS (SEQUENCES OF FUNCTIONS, SERIES OF FUNCTIONS & POWER SERIES)
WORKSHEET FOR THE PRELIMINARY EXAMINATION-REAL ANALYSIS (SEQUENCES OF FUNCTIONS, SERIES OF FUNCTIONS & POWER SERIES) INSTRUCTOR: CEZAR LUPU Problem. Decide which of the following sequences of functions
More informationTOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12
NAME DATE PERIOD AP CALCULUS AB UNIT ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT 0 0 0/6 0/8 0/9 0/0 X X X X 0/ 0/ 0/5 0/6 QUIZ X X X 0/7 0/8 0/9 0/ 0/ 0/ 0/5 UNIT EXAM X X X TOTAL AP Calculus
More informationLecture 19: Ordinary Differential Equations: Special Functions
Lecture 19: Ordinary Differential Equations: Special Functions Key points Hermite differential equation: Legendre's differential equation: Bessel's differential equation: Modified Bessel differential equation:
More informationScienceWord and PagePlayer Graphical representation. Dr Emile C. B. COMLAN Novoasoft Representative in Africa
ScienceWord and PagePlayer Graphical representation Dr Emile C. B. COMLAN Novoasoft Representative in Africa Emails: ecomlan@scienceoffice.com ecomlan@yahoo.com Web site: www.scienceoffice.com Graphical
More information96 CHAPTER 4. HILBERT SPACES. Spaces of square integrable functions. Take a Cauchy sequence f n in L 2 so that. f n f m 1 (b a) f n f m 2.
96 CHAPTER 4. HILBERT SPACES 4.2 Hilbert Spaces Hilbert Space. An inner product space is called a Hilbert space if it is complete as a normed space. Examples. Spaces of sequences The space l 2 of square
More informationA Library of Functions
LibraryofFunctions.nb 1 A Library of Functions Any study of calculus must start with the study of functions. Functions are fundamental to mathematics. In its everyday use the word function conveys to us
More informationAND NONLINEAR SCIENCE SERIES. Partial Differential. Equations with MATLAB. Matthew P. Coleman. CRC Press J Taylor & Francis Croup
CHAPMAN & HALL/CRC APPLIED MATHEMATICS AND NONLINEAR SCIENCE SERIES An Introduction to Partial Differential Equations with MATLAB Second Edition Matthew P Coleman Fairfield University Connecticut, USA»C)
More informationNew York State Mathematics Association of Two-Year Colleges
New York State Mathematics Association of Two-Year Colleges Math League Contest ~ Fall 06 Directions: You have one hour to take this test. Scrap paper is allowed. The use of calculators is NOT permitted,
More informationLEAST SQUARES APPROXIMATION
LEAST SQUARES APPROXIMATION One more approach to approximating a function f (x) on an interval a x b is to seek an approximation p(x) with a small average error over the interval of approximation. A convenient
More informationSteady and unsteady diffusion
Chapter 5 Steady and unsteady diffusion In this chapter, we solve the diffusion and forced convection equations, in which it is necessary to evaluate the temperature or concentration fields when the velocity
More informationMATRIX ALGEBRA. or x = (x 1,..., x n ) R n. y 1 y 2. x 2. x m. y m. y = cos θ 1 = x 1 L x. sin θ 1 = x 2. cos θ 2 = y 1 L y.
as Basics Vectors MATRIX ALGEBRA An array of n real numbers x, x,, x n is called a vector and it is written x = x x n or x = x,, x n R n prime operation=transposing a column to a row Basic vector operations
More informationTrig Identities. or (x + y)2 = x2 + 2xy + y 2. Dr. Ken W. Smith Other examples of identities are: (x + 3)2 = x2 + 6x + 9 and
Trig Identities An identity is an equation that is true for all values of the variables. Examples of identities might be obvious results like Part 4, Trigonometry Lecture 4.8a, Trig Identities and Equations
More informationClass notes: Approximation
Class notes: Approximation Introduction Vector spaces, linear independence, subspace The goal of Numerical Analysis is to compute approximations We want to approximate eg numbers in R or C vectors in R
More informationName: Date: Practice Midterm Exam Sections 1.2, 1.3, , ,
Name: Date: Practice Midterm Exam Sections 1., 1.3,.1-.7, 6.1-6.5, 8.1-8.7 a108 Please develop your one page formula sheet as you try these problems. If you need to look something up, write it down on
More information14 Fourier analysis. Read: Boas Ch. 7.
14 Fourier analysis Read: Boas Ch. 7. 14.1 Function spaces A function can be thought of as an element of a kind of vector space. After all, a function f(x) is merely a set of numbers, one for each point
More information( ) = x! 1 to obtain ( )( x! 1)
Etraneous and Lost Roots In solving equations (for a variable in the equations) one often does the same thing to both sides of the equations. The things that can be done to both sides of the equation can
More informationLinear Algebra. Paul Yiu. Department of Mathematics Florida Atlantic University. Fall A: Inner products
Linear Algebra Paul Yiu Department of Mathematics Florida Atlantic University Fall 2011 6A: Inner products In this chapter, the field F = R or C. We regard F equipped with a conjugation χ : F F. If F =
More informationElementary linear algebra
Chapter 1 Elementary linear algebra 1.1 Vector spaces Vector spaces owe their importance to the fact that so many models arising in the solutions of specific problems turn out to be vector spaces. The
More informationAPPENDIX B GRAM-SCHMIDT PROCEDURE OF ORTHOGONALIZATION. Let V be a finite dimensional inner product space spanned by basis vector functions
301 APPENDIX B GRAM-SCHMIDT PROCEDURE OF ORTHOGONALIZATION Let V be a finite dimensional inner product space spanned by basis vector functions {w 1, w 2,, w n }. According to the Gram-Schmidt Process an
More informationSome Trigonometric Limits
Some Trigonometric Limits Mathematics 11: Lecture 7 Dan Sloughter Furman University September 20, 2007 Dan Sloughter (Furman University) Some Trigonometric Limits September 20, 2007 1 / 14 The squeeze
More informationSolutions: Problem Set 3 Math 201B, Winter 2007
Solutions: Problem Set 3 Math 201B, Winter 2007 Problem 1. Prove that an infinite-dimensional Hilbert space is a separable metric space if and only if it has a countable orthonormal basis. Solution. If
More informationy b where U. matrix inverse A 1 ( L. 1 U 1. L 1 U 13 U 23 U 33 U 13 2 U 12 1
LU decomposition -- manual demonstration Instructor: Nam Sun Wang lu-manualmcd LU decomposition, where L is a lower-triangular matrix with as the diagonal elements and U is an upper-triangular matrix Just
More informationReview of elements of Calculus (functions in one variable)
Review of elements of Calculus (functions in one variable) Mainly adapted from the lectures of prof Greg Kelly Hanford High School, Richland Washington http://online.math.uh.edu/houstonact/ https://sites.google.com/site/gkellymath/home/calculuspowerpoints
More informationThe 'linear algebra way' of talking about "angle" and "similarity" between two vectors is called "inner product". We'll define this next.
Orthogonality and QR The 'linear algebra way' of talking about "angle" and "similarity" between two vectors is called "inner product". We'll define this next. So, what is an inner product? An inner product
More information12.0 Properties of orthogonal polynomials
12.0 Properties of orthogonal polynomials In this section we study orthogonal polynomials to use them for the construction of quadrature formulas investigate projections on polynomial spaces and their
More informationMTH 2032 SemesterII
MTH 202 SemesterII 2010-11 Linear Algebra Worked Examples Dr. Tony Yee Department of Mathematics and Information Technology The Hong Kong Institute of Education December 28, 2011 ii Contents Table of Contents
More informationNATIONAL BOARD FOR HIGHER MATHEMATICS. M. A. and M.Sc. Scholarship Test. September 24, Time Allowed: 150 Minutes Maximum Marks: 30
NATIONAL BOARD FOR HIGHER MATHEMATICS M. A. and M.Sc. Scholarship Test September 24, 2011 Time Allowed: 150 Minutes Maximum Marks: 30 Please read, carefully, the instructions on the following page 1 INSTRUCTIONS
More informationScientific Computing: An Introductory Survey
Scientific Computing: An Introductory Survey Chapter 7 Interpolation Prof. Michael T. Heath Department of Computer Science University of Illinois at Urbana-Champaign Copyright c 2002. Reproduction permitted
More informationSpecial Functions of Mathematical Physics
Arnold F. Nikiforov Vasilii B. Uvarov Special Functions of Mathematical Physics A Unified Introduction with Applications Translated from the Russian by Ralph P. Boas 1988 Birkhäuser Basel Boston Table
More informationJuly 21 Math 2254 sec 001 Summer 2015
July 21 Math 2254 sec 001 Summer 2015 Section 8.8: Power Series Theorem: Let a n (x c) n have positive radius of convergence R, and let the function f be defined by this power series f (x) = a n (x c)
More informationThe value of a problem is not so much coming up with the answer as in the ideas and attempted ideas it forces on the would be solver I.N.
Math 410 Homework Problems In the following pages you will find all of the homework problems for the semester. Homework should be written out neatly and stapled and turned in at the beginning of class
More information(c) Find the equation of the degree 3 polynomial that has the same y-value, slope, curvature, and third derivative as ln(x + 1) at x = 0.
Chapter 7 Challenge problems Example. (a) Find the equation of the tangent line for ln(x + ) at x = 0. (b) Find the equation of the parabola that is tangent to ln(x + ) at x = 0 (i.e. the parabola has
More informationLecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain.
Lecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain. For example f(x) = 1 1 x = 1 + x + x2 + x 3 + = ln(1 + x) = x x2 2
More informationTImath.com Calculus. Topic: Techniques of Integration Derive the formula for integration by parts and use it to compute integrals
Integration by Parts ID: 985 Time required 45 minutes Activity Overview In previous activities, students have eplored the differential calculus through investigations of the methods of first principles,
More informationFinite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product
Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )
More informationNotes on Special Functions
Spring 25 1 Notes on Special Functions Francis J. Narcowich Department of Mathematics Texas A&M University College Station, TX 77843-3368 Introduction These notes are for our classes on special functions.
More informationWorksheet for Lecture 25 Section 6.4 Gram-Schmidt Process
Worksheet for Lecture Name: Section.4 Gram-Schmidt Process Goal For a subspace W = Span{v,..., v n }, we want to find an orthonormal basis of W. Example Let W = Span{x, x } with x = and x =. Give an orthogonal
More informationChapter 4 Sequences and Series
Chapter 4 Sequences and Series 4.1 Sequence Review Sequence: a set of elements (numbers or letters or a combination of both). The elements of the set all follow the same rule (logical progression). The
More information1.1 Limits & Continuity
1.1 Limits & Continuity What do you see below? We are building the House of Calculus, one side at a time... and we need a solid FOUNDATION. Page 1 of 11 Eample 1: (Calculator) For f ( ) (a) fill in the
More informationMATH 235: Inner Product Spaces, Assignment 7
MATH 235: Inner Product Spaces, Assignment 7 Hand in questions 3,4,5,6,9, by 9:3 am on Wednesday March 26, 28. Contents Orthogonal Basis for Inner Product Space 2 2 Inner-Product Function Space 2 3 Weighted
More informationNumerical Analysis Preliminary Exam 10.00am 1.00pm, January 19, 2018
Numerical Analysis Preliminary Exam 0.00am.00pm, January 9, 208 Instructions. You have three hours to complete this exam. Submit solutions to four (and no more) of the following six problems. Please start
More informationThe Cauchy-Schwarz inequality
The Cauchy-Schwarz inequality Finbarr Holland, f.holland@ucc.ie April, 008 1 Introduction The inequality known as the Cauchy-Schwarz inequality, CS for short, is probably the most useful of all inequalities,
More informationAnalysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series
.... Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series Kenichi Maruno Department of Mathematics, The University of Texas - Pan American March 4, 20
More informationDifferential calculus. Background mathematics review
Differential calculus Background mathematics review David Miller Differential calculus First derivative Background mathematics review David Miller First derivative For some function y The (first) derivative
More informationGeometric Series and the Ratio and Root Test
Geometric Series and the Ratio and Root Test James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 5, 2018 Outline 1 Geometric Series
More informationMath 162 Review of Series
Math 62 Review of Series. Explain what is meant by f(x) dx. What analogy (analogies) exists between such an improper integral and an infinite series a n? An improper integral with infinite interval of
More informationThere are two things that are particularly nice about the first basis
Orthogonality and the Gram-Schmidt Process In Chapter 4, we spent a great deal of time studying the problem of finding a basis for a vector space We know that a basis for a vector space can potentially
More informationInfinite Series. Copyright Cengage Learning. All rights reserved.
Infinite Series Copyright Cengage Learning. All rights reserved. Taylor and Maclaurin Series Copyright Cengage Learning. All rights reserved. Objectives Find a Taylor or Maclaurin series for a function.
More informationxvi xxiii xxvi Construction of the Real Line 2 Is Every Real Number Rational? 3 Problems Algebra of the Real Numbers 7
About the Author v Preface to the Instructor xvi WileyPLUS xxii Acknowledgments xxiii Preface to the Student xxvi 1 The Real Numbers 1 1.1 The Real Line 2 Construction of the Real Line 2 Is Every Real
More informationHilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space.
Hilbert Spaces Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Vector Space. Vector space, ν, over the field of complex numbers,
More information1 Current Flow Problems
Physics 704 Notes Sp 08 Current Flow Problems The current density satisfies the charge conservation equation (notes eqn 7) thusinasteadystate, is solenoidal: + =0 () =0 () In a conducting medium, we may
More information47-831: Advanced Integer Programming Lecturer: Amitabh Basu Lecture 2 Date: 03/18/2010
47-831: Advanced Integer Programming Lecturer: Amitabh Basu Lecture Date: 03/18/010 We saw in the previous lecture that a lattice Λ can have many bases. In fact, if Λ is a lattice of a subspace L with
More informationLast lecture: linear combinations and spanning sets. Let X = {x 1, x 2,..., x k } be a set of vectors in a vector
Last lecture: linear combinations and spanning sets Let X = { k } be a set of vectors in a vector space V A linear combination of k is any vector of the form r + r + + r k k V for r + r + + r k k for scalars
More informationSection Taylor and Maclaurin Series
Section.0 Taylor and Maclaurin Series Ruipeng Shen Feb 5 Taylor and Maclaurin Series Main Goal: How to find a power series representation for a smooth function us assume that a smooth function has a power
More informationLecture 4 Orthonormal vectors and QR factorization
Orthonormal vectors and QR factorization 4 1 Lecture 4 Orthonormal vectors and QR factorization EE263 Autumn 2004 orthonormal vectors Gram-Schmidt procedure, QR factorization orthogonal decomposition induced
More informationThe Perrin Conjugate and the Laguerre Orthogonal Polynomial
The Perrin Conjugate and the Laguerre Orthogonal Polynomial In a previous chapter I defined the conjugate of a cubic polynomial G(x) = x 3 - Bx Cx - D as G(x)c = x 3 + Bx Cx + D. By multiplying the polynomial
More informationENGI 4430 Multiple Integration Cartesian Double Integrals Page 3-01
ENGI 4430 Multiple Integration Cartesian Double Integrals Page 3-01 3. Multiple Integration This chapter provides only a very brief introduction to the major topic of multiple integration. Uses of multiple
More informationIntegration by Triangle Substitutions
Integration by Triangle Substitutions The Area of a Circle So far we have used the technique of u-substitution (ie, reversing the chain rule) and integration by parts (reversing the product rule) to etend
More informationMath 345: Applied Mathematics
Math 345: Applied Mathematics Introduction to Fourier Series, I Tones, Harmonics, and Fourier s Theorem Marcus Pendergrass Hampden-Sydney College Fall 2012 1 Sounds as waveforms I ve got a bad feeling
More informationAP Calculus (BC) Chapter 9 Test No Calculator Section Name: Date: Period:
WORKSHEET: Series, Taylor Series AP Calculus (BC) Chapter 9 Test No Calculator Section Name: Date: Period: 1 Part I. Multiple-Choice Questions (5 points each; please circle the correct answer.) 1. The
More informationf ( c ) = lim{x->c} (f(x)-f(c))/(x-c) = lim{x->c} (1/x - 1/c)/(x-c) = lim {x->c} ( (c - x)/( c x)) / (x-c) = lim {x->c} -1/( c x) = - 1 / x 2
There are 9 problems, most with multiple parts. The Derivative #1. Define f: R\{0} R by [f(x) = 1/x] Use the definition of derivative (page 1 of Differentiation notes, or Def. 4.1.1, Lebl) to find, the
More informationMATH 32 FALL 2013 FINAL EXAM SOLUTIONS. 1 cos( 2. is in the first quadrant, so its sine is positive. Finally, csc( π 8 ) = 2 2.
MATH FALL 01 FINAL EXAM SOLUTIONS (1) (1 points) Evalute the following (a) tan(0) Solution: tan(0) = 0. (b) csc( π 8 ) Solution: csc( π 8 ) = 1 sin( π 8 ) To find sin( π 8 ), we ll use the half angle formula:
More informationFurther Mathematical Methods (Linear Algebra) 2002
Further Mathematical Methods (Linear Algebra) Solutions For Problem Sheet 9 In this problem sheet, we derived a new result about orthogonal projections and used them to find least squares approximations
More informationVector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms.
Vector Spaces Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. For each two vectors a, b ν there exists a summation procedure: a +
More informationTHS Step By Step Calculus Chapter 1
Name: Class Period: Throughout this packet there will be blanks you are epected to fill in prior to coming to class. This packet follows your Larson Tetbook. Do NOT throw away! Keep in 3 ring binder until
More informationSMOOTH APPROXIMATION OF DATA WITH APPLICATIONS TO INTERPOLATING AND SMOOTHING. Karel Segeth Institute of Mathematics, Academy of Sciences, Prague
SMOOTH APPROXIMATION OF DATA WITH APPLICATIONS TO INTERPOLATING AND SMOOTHING Karel Segeth Institute of Mathematics, Academy of Sciences, Prague CONTENTS The problem of interpolating and smoothing Smooth
More information1 Solutions in cylindrical coordinates: Bessel functions
1 Solutions in cylindrical coordinates: Bessel functions 1.1 Bessel functions Bessel functions arise as solutions of potential problems in cylindrical coordinates. Laplace s equation in cylindrical coordinates
More informationZeros and asymptotic limits of Löwdin orthogonal polynomials with a unified view
Applied and Computational Mathematics 2014; 3(2): 57-62 Published online May 10, 2014 (http://www.sciencepublishinggroup.com/j/acm) doi: 10.11648/j.acm.20140302.13 Zeros and asymptotic limits of Löwdin
More informationDS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra.
DS-GA 1002 Lecture notes 0 Fall 2016 Linear Algebra These notes provide a review of basic concepts in linear algebra. 1 Vector spaces You are no doubt familiar with vectors in R 2 or R 3, i.e. [ ] 1.1
More information