Chapter 4 - Periodic Functions & Fourier Series Flashcards

1
Q

Fourier Series

Overview

A
  • considering trigonometric sine and cosine functions as a basis for the linear space of periodic functions on the line
  • any reasonable (to be defined) periodic function can be written as an expansion in sine and cosine functions known as Fourier series
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2
Q

Periodic Function

Definition

A

-the function f(x) is said to be periodic, with (minimum) period 2L, if f(x+2L)=f(x) for all x in the domain of f

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3
Q

Linear Superposition

A

-clearly if f and g are both periodic functions with same period 2L, then any linear combination of them, c1f(x)+c2g(x) is also periodic with the same period

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4
Q

Fourier Series

Theorem

A

-given a function such that, f(x+2L)=f(x) we can find an, bn such that:
fN(x) = ao/2 + Σ[ancos(nπx/L) + bnsin(nπx/L)]
-where sum is from 1 to N and 1≤N
-and the Fourier coefficients are given by:
an = 1/L * ∫ f(x)cos(nπx/L) dx
bn = 1/L * ∫ f(x)
sin(nπx/L) dx
-both integrals taken between -L and +L

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5
Q

Continuity

Definition

A

-a function f(x) is continuous at xo, if
lim f(x) = lim f(x)
-where the first limit is taken as x tends to xo from below and the second limit is taken as x tends to xo from above
-both limits must exist and be equal

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6
Q

Jump Discontinuity

Definition

A

-f(x) has a jump discontinuity at x=xo if both limits (x->xo-)lim f(x) and (x->xo+)lim f(x) exist but are not equal

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7
Q

Piecewise Continuity

Definition

A

-f(x) is piecewise continuous on interval [a,b] if it only has a finite number of jumps in the interval [a,b]

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8
Q

Piecewise Smooth

Definition

A
  • f(x) is piecewise smooth on interval [a,b] if both f(x) and f’(x) are piecewise continuous on [a,b]
  • this means that wherever the function jumps, the gradient also changes
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9
Q

Integral Over a Period

A

-when f(x) is piecewise continuous and has period T:
(0,T)∫ f(x) dx = (a,a+T) ∫ f(x) dx
-i.e. integral of f(x) between 0 and T is equal to the integral of f(x) between a and a+T

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10
Q

Orthogonality Relations

sine-sine

A

∫sin(mπx/L)sin(nπx/L)dx = {0, m≠n or L, m=n

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11
Q

Orthogonality Relations

cosine-cosine

A

∫cos(mπx/L)cos(nπx/L)dx = {0, m≠n or L, m=n≠0 or 2L, m=n=0

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12
Q

Orthogonality Relations

sine-cosine

A

∫sin(mπx/L)cos(nπx/L)dx = {0, for all m,n

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13
Q

Double Angle Identites

A
sinAsinB = 1/2[cos(A-B)-cos(A+B)]
cosAcosB = 1/2[cos(A-B)+cos(A+B)]
-in particular
sin²A = 1/2[1-cos(2A)]
cos²A = 1/2[1+cos(2A)]
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14
Q

Fourier Series

Inner Product

A

⟨f,g⟩ = ∫f(x) g(x) dx

-where the integral is taken between -L and +L

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15
Q
A

**check last paragraph from L16

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16
Q

Fourier Series

Differentiation Theorem

A
  • given f(x), a continuous periodic function with piecewise continuous derivative f’(x)
  • the Fourier series for f’(x) can be obtained by term by term differentiation of the Fourier Series of f(x)
17
Q

Fourier Series

Convergence Theorem

A

-let f(x) be a piecewise smooth periodic function
-then, for all x, we have the pointwise convergence:
1/2[f(x+)+f(x-)] = ao/2 + Σ[ancos(nπx/L)+bnsin(nπx/L)]
-where an and bn are given by the Fourier coefficient formulae
-therefore, at a jump discontinuity, the Fourier series converges to the average value whilst at a point of continuity it just converges to the common value

18
Q

Gibbs Phenomenon

A
  • each finite expansion is an analytic function, so cannot truly represent a discontinuous function
  • whilst the graph passes through the average at the precise point of discontinuity, the graph overshoots on either side
  • this is known as the Gibbs phenomenon
19
Q

Odd Function

Definition

A

-an odd function satisfies:

f(-x) = -f(x)

20
Q

Even Function

Definition

A

-an even function satisfies:

f(-x) = f(x)

21
Q

Odd or Even and Linear Combinations

A

-the property of being either even or odd is preserved under linear combinations
af(-x)+bg(-x) = ±(af(-x)+bg(-x))

22
Q

Odd and Even Functions Under Multiplication

A

f(-x)g(-x) = {f(x)g(x) if f and g are both even or both odd OR -f(x)g(x) if one is odd and one is even}

23
Q

Odd and Even Functions

Fourier Series

A
f(-x)=f(x) => bn=0 for all n
=> an = 1/L ∫ f(x)*cos(nπx/L) dx
-integral btwn -1 and 1
=> an = 2/L ∫ f(x)*cos(nπx/L) dx
-integral btwn 0 and 1
f(-x)=-f(x) => an=0 for all n
=> bn = 1/L ∫ f(x)*sin(nπx/L) dx
-integral btwn -1 and 1
=> bn = 2/L ∫ f(x)*sin(nπx/L) dx
-integral btwn 0 and 1

f(-x)=f(x) => f(x)cos(nπx/L) is even
f(-x)=-f(x) => f(x)
sin(nπx/L) is odd

24
Q

Even and Odd Parts of a Function

A
-given any function f(x), the even and odd parts are defined:
fe(x) = 1/2[f(x)+f(-x)]
fo(x) = 1/2[f(x)-f(-x)]
-and we have:
f(x) = fe(x) + fo(x)
25
Q

What is a half-range Fourier series?

A

-in applications to separation of variables for partial differential equations we are often given a function f(x) on only the half-range 0

26
Q

Even Extension

A

f(x) = ao/2 + Σancos((nπx/L)
-where the sum is between 1 and infinity and:
an = 2/L ∫ f(x)
cos(nπx/L) dx

27
Q

Odd Extension

A

f(x) = Σbnsin((nπx/L)
-where the sum is between 1 and infinity and:
bn = 2/L ∫ f(x)
sin(nπx/L) dx