Lecture 6.1: Introduction to Fourier series Matthew Macauley - - PowerPoint PPT Presentation

lecture 6 1 introduction to fourier series
SMART_READER_LITE
LIVE PREVIEW

Lecture 6.1: Introduction to Fourier series Matthew Macauley - - PowerPoint PPT Presentation

Lecture 6.1: Introduction to Fourier series Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 2080, Differential Equations M. Macauley (Clemson) Lecture 6.1: Introduction to


slide-1
SLIDE 1

Lecture 6.1: Introduction to Fourier series

Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 2080, Differential Equations

  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 1 / 8

slide-2
SLIDE 2

Introduction

Motivation

Every “well-behaved” periodic (think: sound wave) function can be decomposed into sine and cosine waves. We’ll learn how to do this.

An analogy

Rn is a set of vectors. We can freely: add & subtract vectors, multiply vectors by scalars, measure the lengths of vectors; ||v|| := √v · v, measure the angles between vectors; ∡(v, w) := cos−1

v·w ||v|| ||w||

  • ,

project vectors onto unit vectors: Projn v := (v · n) n.

  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 2 / 8

slide-3
SLIDE 3

An analogy

Questions

The standard unit basis vectors of R2 are e1 = 1

  • and e2 =

1

  • . Let v =

4 3

  • .
  • 1. How long is v in the x-direction?
  • 2. How long is v in the y-direction?
  • 3. How long is v in the “northeast direction”?
  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 3 / 8

slide-4
SLIDE 4

An orthogonal basis of Rn

Definition

A set of vectors {v1, . . . , vn} is orthonormal if they satisfy: vi · vj =

  • 1,

i = j 0, i = j.

  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 4 / 8

slide-5
SLIDE 5

The vector space of periodic functions

Let P2π be the set of 2π-periodic piecewise continuous functions: P2π =

  • f : R → R | f (x + 2π) = f (x), f is piecewise contin.
  • Definition

The inner product (“generalized dot product”) on P2π is defined to be: f (x), g(x) := 1 π π

−π

f (x)g(x) dx .

  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 5 / 8

slide-6
SLIDE 6

The vector space of periodic functions

Amazing fact

With respect to our inner product f , g := 1

π

π

−π f (x)g(x) dx on P2π, the set

B2π =

  • 1

√ 2 ,

cos x, cos 2x, cos 3x, . . . sin x, sin 2x, sin 3x, . . .

  • is an orthonormal basis for P2π!
  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 6 / 8

slide-7
SLIDE 7

Formula for the Fourier coefficients

Theorem

Let f (x) be a piecewise continuous 2π-periodic function. We can write f (x) = a0 2 +

  • n=1

an cos nx + bn sin nx, where an = f (x), cos nx = 1 π π

−π

f (x) cos nx dx bn = f (x), sin nx = 1 π π

−π

f (x) sin nx dx.

  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 7 / 8

slide-8
SLIDE 8

Periodic functions with other periods

Remark

Let f (x) be a piecewise continuous 2L-periodic function. We can write f (x) = a0 2 +

  • n=1

an cos( πnx

L ) + bn sin( πnx L ),

where an = f (x), cos( πnx

L ) = 1

L π

−π

f (x) cos( πnx

L ) dx

bn = f (x), sin( πnx

L ) = 1

L π

−π

f (x) sin( πnx

L ) dx.

  • M. Macauley (Clemson)

Lecture 6.1: Introduction to Fourier series Differential Equations 8 / 8