Course MA2C02, Hilary Term 2012 Section 8: Periodic Functions and Fourier Series

Size: px
Start display at page:

Download "Course MA2C02, Hilary Term 2012 Section 8: Periodic Functions and Fourier Series"

Transcription

1 Course MAC, Hiary Term Section 8: Periodic Functions and Fourier Series David R. Wikins Copyright c David R. Wikins Contents 8 Periodic Functions and Fourier Series Fourier Series of Even and Odd Functions Fourier Series for Genera Periodic Functions Sine Series Cosine Series i

2 8 Periodic Functions and Fourier Series Definition A function f: R R is said to be periodic if there exists some positive rea number such that f(x + = f(x for a rea numbers x. The smaest rea number with this property is the period of the periodic function f. A periodic function f with period satisfies f(x + m = f(x for a rea numbers x and integers m. The period of a periodic function f is said to divide some positive rea number K if K/ is an integer. If the period of the function f divides a positive rea number K then f(x + mk = f(x for a rea numbers x and integers m. Mathematicians have proved that if f: R R is any sufficienty webehaved function from R to R with the property that f(x + π = f(x for a rea numbers x then f may be represented as an infinite series of the form f(x = a + a n cos nx + b n sin nx. (33 In particuar it foows from theorems proved by Dirichet in 89 that a function f: R R which satisfies f(x + π = f(x for a rea numbers x can be represented as a trigonometrica series of this form if the function is bounded, with at most finitey many points of discontinuity, oca maxima and oca minima in the interva [, π], and if ( f(x = im f(x + h + im f(x h h + h + at each vaue x at which the function is discontinuous ( im f(x + h h + f(x h denote the imits of f(x + h and f(x h respectivey as and im h + h tends to from above. Fourier in 87 had observed that if a sufficienty we-behaved function coud be expressed as the sum of a trigonometrica series of the above form, then a = π a n = π b n = π f(x dx, (34 f(x cos nx dx, (35 f(x sin nx dx (36 37

3 for each positive integer n. These expressions for the coefficients a n and b n may readiy be verified on substituting the trigonometic series for the function f (equation (33 into the integras on the right hand side of the equation, provided that one is permitted to interchange the operations of integration and summation in the resuting expressions. Now it is not generay true that the integra of an infinite sum of functions is necessariy equa to the sum of the integras of those functions. However if the function f is sufficienty we-behaved then the trigonometric series for the function f wi converge sufficienty rapidy for this interchange of integration and summation to be vaid, so that ( π a m cos mx dx = a m cos mx dx etc. If we interchange summations and integrations in this fashion and make use of the trigonometric integras provided by Theorem 7., we find that ( π ( π f(x dx = a π + a m cos mx dx + b m sin mx dx = a π + = a π, a m cos mx dx + b m sin mx dx Aso f(x cos nx dx = a = cos nx dx + ( a m cos mx cos nx dx ( π + b m sin mx cos nx dx a m cos mx cos nx dx + b m sin mx cos nx dx = a n π, f(x sin nx dx = a sin nx dx + ( a m cos mx sin nx dx 38

4 = ( π + b m sin mx sin nx dx a m cos mx sin nx dx + b m sin mx sin nx dx = b n π. A trigonometric series of the form (33 with coefficients a n and b n given by the integras (34, (35 and (36 is referred to the Fourier series for the function f. The coefficients defined by the integras (34, (35 and (36 are referred to as the Fourier coefficients of the function f. Exampe Consider the function f: R R defined by if x = mπ for some integer m; f(x = if mπ < x < (m + π for some integer m; if (m π < x < mπ for some integer m. This function f has the property that f(x = f(x + mπ for a rea numbers x and integers m, and can be represented by a Fourier series. The coefficients a n and b n of the Fourier series are given by the formuae a = π a n = π b n = π f(x dx, f(x cos nx dx (n >, f(x sin nx dx (n >, Now f(x = if < x <, and f(x = if < x < π. Therefore a =, and a n = cos nx dx = π nπ [sin nx]π = (n >, b n = sin nx dx = π nπ [ cos nx]π = ( cos nπ = nπ nπ ( ( n { if n is odd and n >, = nπ if n is even and n >, 39

5 (We have here made use of the fact that sin nπ = and cos nπ = ( n for a integers n. Thus f(x = + n odd n> = + k= sin nx nπ sin ((k x (k π 8. Fourier Series of Even and Odd Functions Definition A function f: R R is said to be even if f(x = f( x for a rea numbers x. A function f: R R is said to be odd if f(x = f( x for a rea numbers x. Let f: R R be an integrabe function. Then f(x dx = f(x cos nx dx = f(x sin nx dx = f( x dx, (37 f( x cos nx dx, (38 f( x sin nx dx (39 (The first of these identities may be verified by making the substitution x x and then interchanging the two imits of integration. The second and the third foow from the first on repacing f(x by f(x cos nx and f(x sin nx and noting that cos( nx = cos nx and sin( nx = sin nx. It foows that the Fourier coefficients of f are given by the foowing formuae: a = π a n = π b n = π f(x dx = π f(x cos nx dx = π f(x sin nx dx = π (f(x + f( x dx, (4 (f(x + f( x cos nx dx, (4 (f(x f( x sin nx dx (4 for a positive integers n. Of course f(x + f( x = f(x and f(x f( x = for a rea numbers x if the function f: R R is even, and f(x + f( x = and f(x f( x = f(x if the function f: R R is odd. The foowing resuts foow immediatey, 4

6 Theorem 8. Let f: R R be an even periodic function whose period divides π. Suppose that the function f may be represented by a Fourier series. Then the Fourier series of f is of the form and for a positive integers n. f(x = a + a = π a n = π a n cos nx, f(x dx f(x cos nx dx Theorem 8. Let f: R R be an odd periodic function whose period divides π. Suppose that the function f may be represented by a Fourier series. Then the Fourier series of f is of the form for a positive integers n. f(x = b n = π b n sin nx, f(x sin nx dx 8. Fourier Series for Genera Periodic Functions Let f: R R be a periodic function whose period divides, is some positive rea number. Then f(x + = f(x for a rea numbers x. Let ( ( x πx g(x = f so that f(x = g. π Then g: R R is a periodic function, and g(x + π = g(x for a rea numbers x. If the function f is sufficienty we-behaved (and, in particuar, if the function f is bounded, with ony finitey many oca maxima and minima and points of discontinuity in any finite interva, and if f(x at each point of discontinuity is the average of the imits of f(x + h and f(x h 4

7 as h tends to zero from above then the function g may be represented by a Fourier series of the form g(x = a + a n cos nx + b n sin nx. The coefficients of this Fourier series are then given by the formuae a = π a n = π b n = π g(u du, g(u cos nu du, g(u sin nu du for each positive integer n. If we make the substitution u = πx in these integras, we find that f(x = a + ( nπx a n cos + ( nπx b n sin, (43 a = = a n = = b n = = g ( πx dx f(x dx, ( ( πx nπx g cos dx ( nπx f(x cos dx, ( ( πx nπx g sin dx ( nπx f(x sin dx for a positive integers n. Note that these integras are taken over a singe period of the function, from to +. It foows from the periodicity of 4

8 the integrand that these integras may be repaced by integras from c to c+ for any rea number c, and thus a = a n = b n = c+ c c+ c c+ c f(x dx, (44 ( nπx f(x cos dx, (45 ( nπx f(x sin dx (46 for a positive integers n. (Indeed, if h: R R is any integrabe function with the property that h(x + = h(x for a rea numbers x, and if p and q are rea numbers with p q p + then p+ p h(x dx = = q p q+ p+ h(x dx + h(x dx + p+ q p+ q h(x dx Repeated appications of this identity show that p+ for a rea numbers p and q. p h(x dx = q+ q h(x dx = h(x dx q+ q h(x dx. Exampe Let k be a positive rea number. Consider the function f: R R defined by { e k(x m if m < x < m + for some integer m; f(x = (ek + if x is an integer. This function is periodic, with period, and may be expanded as a Fourier series f(x = a + a n cos nπx + b n sin nπx, a = a n = b n = f(x dx, f(x cos nπx dx (n >, f(x sin nπx dx (n >. 43

9 Note that f(x = e kx if < x <. We see therefore that a = e kx dx = k [ e kx ] = k (ek. Now if k and ω a positive rea numbers then e kx k ω cos ωx dx = k + ω ekx cos ωx + k + ω ekx sin ωx + C, e kx k ω sin ωx dx = k + ω ekx sin ωx k + ω ekx cos ωx + C, C is a constant of integration. (These identities may be verified by differentiating the expressions on the right hand side. We find therefore that a n = e kx cos nπx dx = [ ] k 4nπ k + 4n π ekx cos nπx + k + 4n π ekx sin nπx = k k + 4n π (ek b n = e kx sin nπx dx, [ ] k 4nπ = k + 4n π ekx sin nπx k + 4n π ekx cos nπx 4nπ = k + 4n π (ek, for each positive integer n, since cos nπ = and sin nπ = when n is an integer. Thus e kx = k (ek + k k + 4n π (ek cos nπx 4nπ k + 4n π (ek sin nπx for a rea numbers x satisfying < x <. 8.3 Sine Series Let f: [, ] R be a function defined on the interva [, ], [, ] = {x R : x }. Suppose that f( = f( =. Let f: R R be the 44

10 function defined such that and f(x = f(x n if n x (n + for some integer n f(x = f((n + x if (n + x (n + for some integer n. The function f: R R is an odd function with the property that f(x+ = f(x for a rea numbers x. Indeed it is easiy seen that f: R R is the unique odd function with this property which agrees with the function f on the interva [, ]. If the function f is sufficienty we-behaved (and, in particuar, if the function f is bounded, with at most finitey many oca maxima and minima and points of discontinuity, and has the property that f(x at each point of discontinuity is the average of the imits of f(x + h and f(x h as h tends to zero from above then the function f may be represented as a Fourier series. This Fourier series is of the form f(x = ( nπx b n sin, b n = = ( nπx f(x sin dx ( nπx f(x sin dx for a positive integers n. (This foows from equations (43 and (46 on repacing by, and then using the fact that f( x = f(x for a rea numbers x. Therefore every sufficienty we-behaved function f: [, ] R which satisfies f( = f( = may be represented in the form f(x = ( nπx b n sin, (47 b n = for each positive integer n. ( nπx f(x sin dx (48 45

11 Exampe Let be a positive rea numbers, and et f: [, ] R be the function defined by f(x = x( x ( x. This function can be expanded in a sine series of the form f(x = b n = ( nπx b n sin, f(x sin nπx Using the method of integration by parts, and the resut that sin nπ = and cos nπ = ( n for a integers n, we find then Thus b n = x( x sin nπx dx = nπ = [ x( x cos nπx ] + nπ nπ = ( x cos nπx dx nπ = ( x d ( sin nπx dx n π dx = [ ( x sin nπx ] n π = 4 sin nπx [ dx = 4 n π n 3 π 3 dx. ( n π cos nπx = 4 ( cos nπ = 4 n 3 π3 n 3 π ( 3 ( n { 8 = if n is odd; n 3 π 3 if n is even. f(x = n odd n> 8 n 3 π x( x d ( cos nπx dx ( x cos nπx dx sin nπx dx ] nπx sin. 3 or (setting n = k for each positive integer k, dx x( x = k= 8 (k πx sin (k 3 π3 ( x. 46

12 8.4 Cosine Series Let f: [, ] R be a function defined on the interva [, ], [, ] = {x R : x }. Let g: R R be the function defined by and g(x = f(x n if n x (n + for some integer n g(x = f((n + x if (n + x (n + for some integer n. The function g: R R is an even function with the property that g(x+ = g(x for a rea numbers x. Indeed it is easiy seen that g: R R is the unique even function with this property which agrees with the function f on the interva [, ]. If the function f is sufficienty we-behaved then the function g may be represented as a Fourier series. This Fourier series is of the form g(x = a + ( nπx a n cos, a n = = ( nπx g(x cos dx ( nπx g(x cos dx for a non-negative integers n. (This foows from equations (43, (44 and (45 on repacing by, and then using the fact that g( x = g(x for a rea numbers x. Therefore every sufficienty we-behaved function f: [, ] R may be represented in the form f(x = a + ( nπx a n cos (49 a n = for each positive integer n. ( nπx f(x cos dx (5 47

13 Exampe Consider the function f: [, ] R defined by f(x = x if x. This function may be represented as a cosine series of the form and a = f(x = a + a n = a n cos nπx f(x dx = f(x cos nπx dx x dx =, for a positive integers n. Using the method of integation by parts, and making use of the fact that sin nπ = and cos nπ = ( n for a integers n, we find that Thus a n = x cos nπx dx = x d (sin nπx dx nπ dx = nπ [x sin nπx] sin nπx dx = nπ nπ = n π [cos nπx] = n π ( ( n { = 4 if n is odd; n π if n is even. x = n odd n> Remark The function g defined by 4 cos nπx when x. n π g(x = n odd n> 4 cos nπx n π sin nπx dx for a rea numbers x is an even periodic function, with period equa to, which coincides with the function f: [, ] R on the interva [, ], f(x = x for a rea numbers x satisfying x. It foows that g(x = x m whenever m is an integer and m x m +. 48

14 Remark Setting x = in the identity we find that and thus But n odd n> x = n odd n> n = = n odd n> n 4 cos nπx when x, n π 4 n π cos nπ = + n odd n> n odd n> n = π 8. ( (n = 4 4 n π n = 3 4 n. Therefore n = π 6. Probems. Let f: R R be the periodic function with period π given for rea numbers x satisfying x π by the formua x if f(x = π π x π; if x π or π x π. (Here x, the absoute vaue of x, is defined by x = x if x, and x = x if x <. The function f can be expanded as a Fourier series of the form f(x = a + a n cos nx. (The terms invoving sin nx are zero since the given function is even. Find the coefficients a n of this series, and hence write down the Fourier series for the function f. 49

15 . Cacuate the Fourier series of the function f: R R which is periodic, with period π, and which is defined on the interva x π by the foowing formuae: + x π if x π; f(x = if π x π; x π if π x π. 3. Let f: R R be defined such that f(x = 4(x m if m x m + for some integer m; f(x = 4(m + x if m + x m + for some integer m. Express the function f as a Fourier series of the form f(x = a + a n cos πnx. 5

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx Trigonometric Integrals In this section we use trigonometric identities to integrate certain combinations of trigonometric functions. We start with powers of sine and cosine. EXAMPLE Evaluate cos 3 x dx.

More information

Taylor and Maclaurin Series

Taylor 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 information

TMA4213/4215 Matematikk 4M/N Vår 2013

TMA4213/4215 Matematikk 4M/N Vår 2013 Norges teknisk naturvitenskapelige universitet Institutt for matematiske fag TMA43/45 Matematikk 4M/N Vår 3 Løsningsforslag Øving a) The Fourier series of the signal is f(x) =.4 cos ( 4 L x) +cos ( 5 L

More information

TOPIC 4: DERIVATIVES

TOPIC 4: DERIVATIVES TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the

More information

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx y 1 u 2 du u 1 3u 3 C

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx y 1 u 2 du u 1 3u 3 C Trigonometric Integrals In this section we use trigonometric identities to integrate certain combinations of trigonometric functions. We start with powers of sine and cosine. EXAMPLE Evaluate cos 3 x dx.

More information

14.1. Basic Concepts of Integration. Introduction. Prerequisites. Learning Outcomes. Learning Style

14.1. Basic Concepts of Integration. Introduction. Prerequisites. Learning Outcomes. Learning Style Basic Concepts of Integration 14.1 Introduction When a function f(x) is known we can differentiate it to obtain its derivative df. The reverse dx process is to obtain the function f(x) from knowledge of

More information

Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013

Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013 Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013 D. R. Wilkins Copyright c David R. Wilkins 1997 2013 Contents A Cyclotomic Polynomials 79 A.1 Minimum Polynomials of Roots of

More information

Energy Density / Energy Flux / Total Energy in 3D

Energy Density / Energy Flux / Total Energy in 3D Lecture 5 Phys 75 Energy Density / Energy Fux / Tota Energy in D Overview and Motivation: In this ecture we extend the discussion of the energy associated with wave otion to waves described by the D wave

More information

The Heat Equation. Lectures INF2320 p. 1/88

The Heat Equation. Lectures INF2320 p. 1/88 The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)

More information

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish

More information

1 if 1 x 0 1 if 0 x 1

1 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 information

Inner Product Spaces

Inner 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 information

3. INNER PRODUCT SPACES

3. INNER PRODUCT SPACES . INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.

More information

Course Notes for Math 162: Mathematical Statistics Approximation Methods in Statistics

Course Notes for Math 162: Mathematical Statistics Approximation Methods in Statistics Course Notes for Math 16: Mathematical Statistics Approximation Methods in Statistics Adam Merberg and Steven J. Miller August 18, 6 Abstract We introduce some of the approximation methods commonly used

More information

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5. PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include

More information

Understanding Basic Calculus

Understanding Basic Calculus Understanding Basic Calculus S.K. Chung Dedicated to all the people who have helped me in my life. i Preface This book is a revised and expanded version of the lecture notes for Basic Calculus and other

More information

Math 447/547 Partial Differential Equations Prof. Carlson Homework 7 Text section 4.2 1. Solve the diffusion problem. u(t,0) = 0 = u x (t,l).

Math 447/547 Partial Differential Equations Prof. Carlson Homework 7 Text section 4.2 1. Solve the diffusion problem. u(t,0) = 0 = u x (t,l). Math 447/547 Partia Differentia Equations Prof. Carson Homework 7 Text section 4.2 1. Sove the diffusion probem with the mixed boundary conditions u t = ku xx, < x

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

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 information

Preliminary Version: December 1998

Preliminary Version: December 1998 On the Number of Prime Numbers less than a Given Quantity. (Ueber die Anzahl der Primzahlen unter einer gegebenen Grösse.) Bernhard Riemann [Monatsberichte der Berliner Akademie, November 859.] Translated

More information

4.3 Lagrange Approximation

4.3 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 information

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous?

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous? 36 CHAPTER 1. LIMITS AND CONTINUITY 1.3 Continuity Before Calculus became clearly de ned, continuity meant that one could draw the graph of a function without having to lift the pen and pencil. While this

More information

SOLVING TRIGONOMETRIC EQUATIONS

SOLVING TRIGONOMETRIC EQUATIONS Mathematics Revision Guides Solving Trigonometric Equations Page 1 of 17 M.K. HOME TUITION Mathematics Revision Guides Level: AS / A Level AQA : C2 Edexcel: C2 OCR: C2 OCR MEI: C2 SOLVING TRIGONOMETRIC

More information

Math 55: Discrete Mathematics

Math 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 information

Limits. Graphical Limits Let be a function defined on the interval [-6,11] whose graph is given as:

Limits. Graphical Limits Let be a function defined on the interval [-6,11] whose graph is given as: Limits Limits: Graphical Solutions Graphical Limits Let be a function defined on the interval [-6,11] whose graph is given as: The limits are defined as the value that the function approaches as it goes

More information

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a 88 CHAPTER. VECTOR FUNCTIONS.4 Curvature.4.1 Definitions and Examples The notion of curvature measures how sharply a curve bends. We would expect the curvature to be 0 for a straight line, to be very small

More information

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)! Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following

More information

The Mean Value Theorem

The Mean Value Theorem The Mean Value Theorem THEOREM (The Extreme Value Theorem): If f is continuous on a closed interval [a, b], then f attains an absolute maximum value f(c) and an absolute minimum value f(d) at some numbers

More information

Jacobi s four squares identity Martin Klazar

Jacobi s four squares identity Martin Klazar Jacobi s four squares identity Martin Klazar (lecture on the 7-th PhD conference) Ostrava, September 10, 013 C. Jacobi [] in 189 proved that for any integer n 1, r (n) = #{(x 1, x, x 3, x ) Z ( i=1 x i

More information

SAT Math Must-Know Facts & Formulas

SAT Math Must-Know Facts & Formulas SAT Mat Must-Know Facts & Formuas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationas: fractions, tat is, anyting expressabe as a ratio of integers Reas: integers pus rationas

More information

BANACH AND HILBERT SPACE REVIEW

BANACH 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 information

f x a 0 n 1 a 0 a 1 cos x a 2 cos 2x a 3 cos 3x b 1 sin x b 2 sin 2x b 3 sin 3x a n cos nx b n sin nx n 1 f x dx y

f x a 0 n 1 a 0 a 1 cos x a 2 cos 2x a 3 cos 3x b 1 sin x b 2 sin 2x b 3 sin 3x a n cos nx b n sin nx n 1 f x dx y Fourier Series When the French mathematician Joseph Fourier (768 83) was tring to solve a problem in heat conduction, he needed to epress a function f as an infinite series of sine and cosine functions:

More information

The one dimensional heat equation: Neumann and Robin boundary conditions

The one dimensional heat equation: Neumann and Robin boundary conditions The one dimensional heat equation: Neumann and Robin boundary conditions Ryan C. Trinity University Partial Differential Equations February 28, 2012 with Neumann boundary conditions Our goal is to solve:

More information

9. POLYNOMIALS. Example 1: The expression a(x) = x 3 4x 2 + 7x 11 is a polynomial in x. The coefficients of a(x) are the numbers 1, 4, 7, 11.

9. POLYNOMIALS. Example 1: The expression a(x) = x 3 4x 2 + 7x 11 is a polynomial in x. The coefficients of a(x) are the numbers 1, 4, 7, 11. 9. POLYNOMIALS 9.1. Definition of a Polynomial A polynomial is an expression of the form: a(x) = a n x n + a n-1 x n-1 +... + a 1 x + a 0. The symbol x is called an indeterminate and simply plays the role

More information

tegrals as General & Particular Solutions

tegrals as General & Particular Solutions tegrals as General & Particular Solutions dy dx = f(x) General Solution: y(x) = f(x) dx + C Particular Solution: dy dx = f(x), y(x 0) = y 0 Examples: 1) dy dx = (x 2)2 ;y(2) = 1; 2) dy ;y(0) = 0; 3) dx

More information

1 Lecture: Integration of rational functions by decomposition

1 Lecture: Integration of rational functions by decomposition Lecture: Integration of rational functions by decomposition into partial fractions Recognize and integrate basic rational functions, except when the denominator is a power of an irreducible quadratic.

More information

Differentiation and Integration

Differentiation 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 information

1 The 1-D Heat Equation

1 The 1-D Heat Equation The 1-D Heat Equation 18.303 Linear Partial Differential Equations Matthew J. Hancock Fall 006 1 The 1-D Heat Equation 1.1 Physical derivation Reference: Guenther & Lee 1.3-1.4, Myint-U & Debnath.1 and.5

More information

Sample Induction Proofs

Sample Induction Proofs Math 3 Worksheet: Induction Proofs III, Sample Proofs A.J. Hildebrand Sample Induction Proofs Below are model solutions to some of the practice problems on the induction worksheets. The solutions given

More information

I. Pointwise convergence

I. Pointwise convergence MATH 40 - NOTES Sequences of functions Pointwise and Uniform Convergence Fall 2005 Previously, we have studied sequences of real numbers. Now we discuss the topic of sequences of real valued functions.

More information

Sequences and Series

Sequences and Series Sequences and Series Consider the following sum: 2 + 4 + 8 + 6 + + 2 i + The dots at the end indicate that the sum goes on forever. Does this make sense? Can we assign a numerical value to an infinite

More information

Introduction to Complex Fourier Series

Introduction to Complex Fourier Series Introduction to Complex Fourier Series Nathan Pflueger 1 December 2014 Fourier series come in two flavors. What we have studied so far are called real Fourier series: these decompose a given periodic function

More information

ON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE

ON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE i93 c J SYSTEMS OF CURVES 695 ON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE BY C H. ROWE. Introduction. A system of co 2 curves having been given on a surface, let us consider a variable curvilinear

More information

Section 3.7. Rolle s Theorem and the Mean Value Theorem. Difference Equations to Differential Equations

Section 3.7. Rolle s Theorem and the Mean Value Theorem. Difference Equations to Differential Equations Difference Equations to Differential Equations Section.7 Rolle s Theorem and the Mean Value Theorem The two theorems which are at the heart of this section draw connections between the instantaneous rate

More information

MA4001 Engineering Mathematics 1 Lecture 10 Limits and Continuity

MA4001 Engineering Mathematics 1 Lecture 10 Limits and Continuity MA4001 Engineering Mathematics 1 Lecture 10 Limits and Dr. Sarah Mitchell Autumn 2014 Infinite limits If f(x) grows arbitrarily large as x a we say that f(x) has an infinite limit. Example: f(x) = 1 x

More information

Homework # 3 Solutions

Homework # 3 Solutions Homework # 3 Solutions February, 200 Solution (2.3.5). Noting that and ( + 3 x) x 8 = + 3 x) by Equation (2.3.) x 8 x 8 = + 3 8 by Equations (2.3.7) and (2.3.0) =3 x 8 6x2 + x 3 ) = 2 + 6x 2 + x 3 x 8

More information

Nonhomogeneous Linear Equations

Nonhomogeneous Linear Equations Nonhomogeneous Linear Equations In this section we learn how to solve second-order nonhomogeneous linear differential equations with constant coefficients, that is, equations of the form ay by cy G x where

More information

Real Roots of Univariate Polynomials with Real Coefficients

Real 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 information

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis Series FOURIER SERIES Graham S McDonald A self-contained Tutorial Module for learning the technique of Fourier series analysis Table of contents Begin Tutorial c 004 g.s.mcdonald@salford.ac.uk 1. Theory.

More information

SAT Math Facts & Formulas

SAT Math Facts & Formulas Numbers, Sequences, Factors SAT Mat Facts & Formuas Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reas: integers pus fractions, decimas, and irrationas ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences:

More information

Intermediate Value Theorem, Rolle s Theorem and Mean Value Theorem

Intermediate Value Theorem, Rolle s Theorem and Mean Value Theorem Intermediate Value Theorem, Rolle s Theorem and Mean Value Theorem February 21, 214 In many problems, you are asked to show that something exists, but are not required to give a specific example or formula

More information

An important theme in this book is to give constructive definitions of mathematical objects. Thus, for instance, if you needed to evaluate.

An important theme in this book is to give constructive definitions of mathematical objects. Thus, for instance, if you needed to evaluate. Chapter 10 Series and Approximations An important theme in this book is to give constructive definitions of mathematical objects. Thus, for instance, if you needed to evaluate 1 0 e x2 dx, you could set

More information

Row Echelon Form and Reduced Row Echelon Form

Row Echelon Form and Reduced Row Echelon Form These notes closely follow the presentation of the material given in David C Lay s textbook Linear Algebra and its Applications (3rd edition) These notes are intended primarily for in-class presentation

More information

Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm.

Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. Chapter 4, Arithmetic in F [x] Polynomial arithmetic and the division algorithm. We begin by defining the ring of polynomials with coefficients in a ring R. After some preliminary results, we specialize

More information

Click here for answers. f x CD 1 2 ( BC AC AB ) 1 2 C. (b) Express da dt in terms of the quantities in part (a). can be greater than.

Click here for answers. f x CD 1 2 ( BC AC AB ) 1 2 C. (b) Express da dt in terms of the quantities in part (a). can be greater than. CHALLENGE PROBLEM CHAPTER 3 A Click here for answers. Click here for solutions.. (a) Find the domain of the function f x s s s3 x. (b) Find f x. ; (c) Check your work in parts (a) and (b) by graphing f

More information

An Introduction to Partial Differential Equations in the Undergraduate Curriculum

An Introduction to Partial Differential Equations in the Undergraduate Curriculum An Introduction to Partial Differential Equations in the Undergraduate Curriculum J. Tolosa & M. Vajiac LECTURE 11 Laplace s Equation in a Disk 11.1. Outline of Lecture The Laplacian in Polar Coordinates

More information

1.5. Factorisation. Introduction. Prerequisites. Learning Outcomes. Learning Style

1.5. Factorisation. Introduction. Prerequisites. Learning Outcomes. Learning Style Factorisation 1.5 Introduction In Block 4 we showed the way in which brackets were removed from algebraic expressions. Factorisation, which can be considered as the reverse of this process, is dealt with

More information

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS ASHER M. KACH, KAREN LANGE, AND REED SOLOMON Abstract. We show that if H is an effectivey competey decomposabe computabe torsion-free abeian group, then

More information

Alternative proof for claim in [1]

Alternative proof for claim in [1] Alternative proof for claim in [1] Ritesh Kolte and Ayfer Özgür Aydin The problem addressed in [1] is described in Section 1 and the solution is given in Section. In the proof in [1], it seems that obtaining

More information

Section 4.4. Using the Fundamental Theorem. Difference Equations to Differential Equations

Section 4.4. Using the Fundamental Theorem. Difference Equations to Differential Equations Difference Equations to Differential Equations Section 4.4 Using the Fundamental Theorem As we saw in Section 4.3, using the Fundamental Theorem of Integral Calculus reduces the problem of evaluating a

More information

VERTICES OF GIVEN DEGREE IN SERIES-PARALLEL GRAPHS

VERTICES OF GIVEN DEGREE IN SERIES-PARALLEL GRAPHS VERTICES OF GIVEN DEGREE IN SERIES-PARALLEL GRAPHS MICHAEL DRMOTA, OMER GIMENEZ, AND MARC NOY Abstract. We show that the number of vertices of a given degree k in several kinds of series-parallel labelled

More information

PRE-CALCULUS GRADE 12

PRE-CALCULUS GRADE 12 PRE-CALCULUS GRADE 12 [C] Communication Trigonometry General Outcome: Develop trigonometric reasoning. A1. Demonstrate an understanding of angles in standard position, expressed in degrees and radians.

More information

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4)

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4) ROOTS OF POLYNOMIAL EQUATIONS In this unit we discuss polynomial equations. A polynomial in x of degree n, where n 0 is an integer, is an expression of the form P n (x) =a n x n + a n 1 x n 1 + + a 1 x

More information

MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

MATH 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 information

12. Inner Product Spaces

12. Inner Product Spaces 1. Inner roduct Spaces 1.1. Vector spaces A real vector space is a set of objects that you can do to things ith: you can add to of them together to get another such object, and you can multiply one of

More information

Math 55: Discrete Mathematics

Math 55: Discrete Mathematics Math 55: Discrete Mathematics UC Berkeley, Fall 2011 Homework # 5, due Wednesday, February 22 5.1.4 Let P (n) be the statement that 1 3 + 2 3 + + n 3 = (n(n + 1)/2) 2 for the positive integer n. a) What

More information

Chebyshev Expansions

Chebyshev Expansions Chapter 3 Chebyshev Expansions The best is the cheapest. Benjamin Franklin 3.1 Introduction In Chapter, approximations were considered consisting of expansions around a specific value of the variable (finite

More information

Chapter 5. Banach Spaces

Chapter 5. Banach Spaces 9 Chapter 5 Banach Spaces Many linear equations may be formulated in terms of a suitable linear operator acting on a Banach space. In this chapter, we study Banach spaces and linear operators acting on

More information

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS

DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS 1 DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS 2 ASHER M. KACH, KAREN LANGE, AND REED SOLOMON Abstract. We show that if H is an effectivey competey decomposabe computabe torsion-free abeian group,

More information

THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS

THE 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 information

2.2 Separable Equations

2.2 Separable Equations 2.2 Separable Equations 73 2.2 Separable Equations An equation y = f(x, y) is called separable provided algebraic operations, usually multiplication, division and factorization, allow it to be written

More information

Discrete Mathematics: Homework 7 solution. Due: 2011.6.03

Discrete Mathematics: Homework 7 solution. Due: 2011.6.03 EE 2060 Discrete Mathematics spring 2011 Discrete Mathematics: Homework 7 solution Due: 2011.6.03 1. Let a n = 2 n + 5 3 n for n = 0, 1, 2,... (a) (2%) Find a 0, a 1, a 2, a 3 and a 4. (b) (2%) Show that

More information

10.2 Series and Convergence

10.2 Series and Convergence 10.2 Series and Convergence Write sums using sigma notation Find the partial sums of series and determine convergence or divergence of infinite series Find the N th partial sums of geometric series and

More information

1 Inner Products and Norms on Real Vector Spaces

1 Inner Products and Norms on Real Vector Spaces Math 373: Principles Techniques of Applied Mathematics Spring 29 The 2 Inner Product 1 Inner Products Norms on Real Vector Spaces Recall that an inner product on a real vector space V is a function from

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

GRE Prep: Precalculus

GRE Prep: Precalculus GRE Prep: Precalculus Franklin H.J. Kenter 1 Introduction These are the notes for the Precalculus section for the GRE Prep session held at UCSD in August 2011. These notes are in no way intended to teach

More information

H/wk 13, Solutions to selected problems

H/wk 13, Solutions to selected problems H/wk 13, Solutions to selected problems Ch. 4.1, Problem 5 (a) Find the number of roots of x x in Z 4, Z Z, any integral domain, Z 6. (b) Find a commutative ring in which x x has infinitely many roots.

More information

5.3 Improper Integrals Involving Rational and Exponential Functions

5.3 Improper Integrals Involving Rational and Exponential Functions Section 5.3 Improper Integrals Involving Rational and Exponential Functions 99.. 3. 4. dθ +a cos θ =, < a

More information

SOLUTIONS FOR PROBLEM SET 2

SOLUTIONS FOR PROBLEM SET 2 SOLUTIONS FOR PROBLEM SET 2 A: There exist primes p such that p+6k is also prime for k = 1,2 and 3. One such prime is p = 11. Another such prime is p = 41. Prove that there exists exactly one prime p such

More information

The degree of a polynomial function is equal to the highest exponent found on the independent variables.

The degree of a polynomial function is equal to the highest exponent found on the independent variables. DETAILED SOLUTIONS AND CONCEPTS - POLYNOMIAL FUNCTIONS Prepared by Ingrid Stewart, Ph.D., College of Southern Nevada Please Send Questions and Comments to ingrid.stewart@csn.edu. Thank you! PLEASE NOTE

More information

Math 120 Final Exam Practice Problems, Form: A

Math 120 Final Exam Practice Problems, Form: A Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,

More information

3.5 Pendulum period. 2009-02-10 19:40:05 UTC / rev 4d4a39156f1e. g = 4π2 l T 2. g = 4π2 x1 m 4 s 2 = π 2 m s 2. 3.5 Pendulum period 68

3.5 Pendulum period. 2009-02-10 19:40:05 UTC / rev 4d4a39156f1e. g = 4π2 l T 2. g = 4π2 x1 m 4 s 2 = π 2 m s 2. 3.5 Pendulum period 68 68 68 3.5 Penduum period 68 3.5 Penduum period Is it coincidence that g, in units of meters per second squared, is 9.8, very cose to 2 9.87? Their proximity suggests a connection. Indeed, they are connected

More information

LS.6 Solution Matrices

LS.6 Solution Matrices LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions

More information

it is easy to see that α = a

it is easy to see that α = a 21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UF. Therefore

More information

CHAPTER SIX IRREDUCIBILITY AND FACTORIZATION 1. BASIC DIVISIBILITY THEORY

CHAPTER SIX IRREDUCIBILITY AND FACTORIZATION 1. BASIC DIVISIBILITY THEORY January 10, 2010 CHAPTER SIX IRREDUCIBILITY AND FACTORIZATION 1. BASIC DIVISIBILITY THEORY The set of polynomials over a field F is a ring, whose structure shares with the ring of integers many characteristics.

More information

Introduction to Finite Fields (cont.)

Introduction to Finite Fields (cont.) Chapter 6 Introduction to Finite Fields (cont.) 6.1 Recall Theorem. Z m is a field m is a prime number. Theorem (Subfield Isomorphic to Z p ). Every finite field has the order of a power of a prime number

More information

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 3 Binary Operations We are used to addition and multiplication of real numbers. These operations combine two real numbers

More information

Doug Ravenel. October 15, 2008

Doug Ravenel. October 15, 2008 Doug Ravenel University of Rochester October 15, 2008 s about Euclid s Some s about primes that every mathematician should know (Euclid, 300 BC) There are infinitely numbers. is very elementary, and we

More information

minimal polyonomial Example

minimal polyonomial Example Minimal Polynomials Definition Let α be an element in GF(p e ). We call the monic polynomial of smallest degree which has coefficients in GF(p) and α as a root, the minimal polyonomial of α. Example: We

More information

1. First-order Ordinary Differential Equations

1. First-order Ordinary Differential Equations Advanced Engineering Mathematics 1. First-order ODEs 1 1. First-order Ordinary Differential Equations 1.1 Basic concept and ideas 1.2 Geometrical meaning of direction fields 1.3 Separable differential

More information

Lectures 5-6: Taylor Series

Lectures 5-6: Taylor Series Math 1d Instructor: Padraic Bartlett Lectures 5-: Taylor Series Weeks 5- Caltech 213 1 Taylor Polynomials and Series As we saw in week 4, power series are remarkably nice objects to work with. In particular,

More information

Polynomials and Factoring

Polynomials and Factoring Lesson 2 Polynomials and Factoring A polynomial function is a power function or the sum of two or more power functions, each of which has a nonnegative integer power. Because polynomial functions are built

More information

Factoring Polynomials

Factoring Polynomials Factoring Polynomials Sue Geller June 19, 2006 Factoring polynomials over the rational numbers, real numbers, and complex numbers has long been a standard topic of high school algebra. With the advent

More information

Calculus. Contents. Paul Sutcliffe. Office: CM212a.

Calculus. Contents. Paul Sutcliffe. Office: CM212a. Calculus Paul Sutcliffe Office: CM212a. www.maths.dur.ac.uk/~dma0pms/calc/calc.html Books One and several variables calculus, Salas, Hille & Etgen. Calculus, Spivak. Mathematical methods in the physical

More information

2.1 Increasing, Decreasing, and Piecewise Functions; Applications

2.1 Increasing, Decreasing, and Piecewise Functions; Applications 2.1 Increasing, Decreasing, and Piecewise Functions; Applications Graph functions, looking for intervals on which the function is increasing, decreasing, or constant, and estimate relative maxima and minima.

More information

Application of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain)

Application of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain) Application of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain) The Fourier Sine Transform pair are F. T. : U = 2/ u x sin x dx, denoted as U

More information

TERM INSURANCE CALCULATION ILLUSTRATED. This is the U.S. Social Security Life Table, based on year 2007.

TERM INSURANCE CALCULATION ILLUSTRATED. This is the U.S. Social Security Life Table, based on year 2007. This is the U.S. Socia Security Life Tabe, based on year 2007. This is avaiabe at http://www.ssa.gov/oact/stats/tabe4c6.htm. The ife eperiences of maes and femaes are different, and we usuay do separate

More information

Calculus 1: Sample Questions, Final Exam, Solutions

Calculus 1: Sample Questions, Final Exam, Solutions Calculus : Sample Questions, Final Exam, Solutions. Short answer. Put your answer in the blank. NO PARTIAL CREDIT! (a) (b) (c) (d) (e) e 3 e Evaluate dx. Your answer should be in the x form of an integer.

More information

Stirling s formula, n-spheres and the Gamma Function

Stirling s formula, n-spheres and the Gamma Function Stirling s formula, n-spheres and the Gamma Function We start by noticing that and hence x n e x dx lim a 1 ( 1 n n a n n! e ax dx lim a 1 ( 1 n n a n a 1 x n e x dx (1 Let us make a remark in passing.

More information

Online Supplement for The Robust Network Loading Problem under Hose Demand Uncertainty: Formulation, Polyhedral Analysis, and Computations

Online Supplement for The Robust Network Loading Problem under Hose Demand Uncertainty: Formulation, Polyhedral Analysis, and Computations Onine Suppement for The Robust Network Loading Probem under Hose Demand Uncertaint: Formuation, Pohedra Anasis, and Computations Aşegü Atın Department of Industria Engineering, TOBB Universit of Economics

More information

Basics of Polynomial Theory

Basics of Polynomial Theory 3 Basics of Polynomial Theory 3.1 Polynomial Equations In geodesy and geoinformatics, most observations are related to unknowns parameters through equations of algebraic (polynomial) type. In cases where

More information