Chapter 6 - Fourier Transforms Flashcards

1
Q

Motivation

Fo

A

Fo = ao/2

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2
Q

Motivation

an

A

an = Fn+ + Fn-

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3
Q

Motivation

bn

A

bn = i(Fn+ - Fn-)

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4
Q

Motivation

Fn+

A

Fn+ = 1/2(an - i*bn)
= 1/2L ∫ f(x) e^(-inπx/k) dx
-where the integral is taken from -L to L

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5
Q

Motivation

Fn-

A

Fn- = 1/2(an + i*bn)
= 1/2L ∫ f(x) e^(inπx/k) dx
-where the integral is taken from -L to L

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6
Q

The Fourier Transform

Definition

A

-the Fourier Transform of a function f(x) for which:
∫|f(x)| dx < ∞
-i.e. the integral (between -∞ and +∞) is finite, is defined as:
F(k) = 1/√(2π) ∫f(x)*e^(-ikx) dx
-where -∞

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7
Q

The Fourier Transform Inverse

Definition

A

f(x) = 1/√(2π) ∫F(k)*e^(ikx) dk

-where -∞

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8
Q

Differences Between Fourier Series and the Fourier Transform

A

1) the discrete index n has been replaces by a continuous parameter k, and the summation over n has been replaced by integration over k
2) the range of integration of x has changed from (-L,L) to (-∞,∞)
3) the integral has been normalised differently

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9
Q

Useful Properties

Linearity

A

-Let Ƒ(f) and Ƒ(g) denote the Fourier transforms of the functions f(x) and g(x)
-then for constants a and b:
Ƒ(af+bg) = aƑ(f) + bƑ(g)

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10
Q

Useful Properties

Dilation of x

A

-for a>0, we find:

Ƒ(f(ax)) = 1/a F(k/a)

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11
Q

Useful Properties

The First Shift Theorem

A

-for constant a,

Ƒ(f(x-a)) = e^(-iak) Ƒ(f(x))

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12
Q

Useful Properties

The Second Shift Theorem

A

Ƒ[e^(iax) f(x)] = F(k-a)
-in terms of the Inverse Fourier Transform, the second shift theorem takes the form:
Ƒ^(-1)[F(k-1)] = e^(iax) Ƒ^(-1)[F(k)]
-which is of the form of the first shift theorem

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13
Q

Useful Properties

Fourier Transform of the Derivative

A

-suppose f(x) is piecewise smooth, f(x) and f’(x) are integrable and f(x)->0 as |x|->∞
-THEN:
Ƒ[f’(x)] = ikƑ[f(x)]

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14
Q

Useful Properties

The Derivative of the Fourier Transform

A

-suppose f(x) and xf(x) are integrable
-THEN:
Ƒ[xf(x)] = i d/dk Ƒ[f(x)] = i F’(k)

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15
Q

The Gaussian Function

A

-the Gaussian Function is defined as:
f(x) = e^(-ax²)
-for a positive constant a

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16
Q

Integrate the Gaussian Function

A

I = ∫ e^(-ax²) dx = √[π/a]

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

17
Q

Fourier Transform of the Gaussian Function

A

a=1/2
f(x) = e^(-1/2 x²)

F(k) = e^(-1/2 k²)
-with F(0)=1

18
Q

Fourier Transform of u(x,t)

Status of x and t

A
  • the variables x and t have a different status
  • the variable x is the variable in the definition of the Fourier Transform
  • the variable t is playing the role of an evolution parameter