4 Further properties of the Fourier transform

We state these properties without proof. As usual F ( ω ) denotes the Fourier transform of f ( t ) .

  1. Time differentiation property:

    F { f ( t ) } = i ω F ( ω )

    (Differentiating a function is said to amplify the higher frequency components because of the additional multiplying factor ω .)

  2. Frequency differentiation property:

    F { t f ( t ) } = i d F d ω or F { ( i t ) f ( t ) } = d F d ω

    Note the symmetry between properties 1. and 2.

  3. Duality property:

    If F { f ( t ) } = F ( ω ) then F { F ( t ) } = 2 π f ( ω ) .

Informally, the duality property states that we can, apart from the 2 π factor, interchange the time and frequency domains provided we put ω rather than ω in the second term, this corresponding to a reflection in the vertical axis. If f ( t ) is even this latter is irrelevant.

For example, we know that if f ( t ) = p 1 ( t ) = 1 1 < t < 1 0 otherwise , then F ( ω ) = 2 sin ω ω .

Then, by the duality property, since p 1 ( ω ) is even, F { 2 sin t t } = 2 π p 1 ( ω ) = 2 π p 1 ( ω ) .

Graphically:

Figure 6

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Task!

Recalling the Fourier transform pair

  f ( t ) = e 2 t t > 0 e 2 t t < 0 F ( ω ) = 4 4 + ω 2 ,

obtain the Fourier transforms of

  1. g ( t ) = 1 4 + t 2
  2. h ( t ) = 1 4 + t 2 cos 2 t .
  1. Use the linearity and duality properties:

    We have F { f ( t ) } F { e 2 t } = 4 4 + ω 2 . F { 1 4 e 2 t } = 1 4 + ω 2 (by linearity)

    F { 1 4 + t 2 } = 2 π 1 4 e 2 ω = π 2 e 2 ω = G ( ω ) (by duality).

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  2. Use the modulation property based on the frequency shift property:

    We have h ( t ) = g ( t ) cos 2 t . F { g ( t ) cos ω 0 t } = 1 2 ( G ( ω ω 0 ) + G ( ω + ω 0 ) ) ,

    so with ω 0 = 2 F { h ( t ) } = π 4 e 2 ω 2 + e 2 ω + 2 = H ( ω )

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Exercises
  1. Using the superposition and time delay theorems and the known result for the transform of the rectangular pulse p ( t ) , obtain the Fourier transforms of each of the signals shown.

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  2. Obtain the Fourier transform of the signal

    f ( t ) = e t u ( t ) + e 2 t u ( t )

    where u ( t ) denotes the unit step function.

  3. Use the time-shift property to obtain the Fourier transform of

    f ( t ) = 1 1 t 3 0 otherwise

    Verify your result using the definition of the Fourier transform.

  4. Find the inverse Fourier transforms of
    1. F ( ω ) = 20 sin ( 5 ω ) 5 ω e 3 i ω
    2. F ( ω ) = 8 ω sin 3 ω e i ω
    3. F ( ω ) = e i ω 1 i ω
  5. If f ( t ) is a signal with transform F ( ω ) obtain the Fourier transform of f ( t ) cos ( ω 0 t ) cos ( ω 0 t ) .
  1. X a ( ω ) = 4 ω sin ( ω 2 ) cos ( 3 ω 2 )

    X b ( ω ) = 4 i ω sin ( ω 2 ) sin ( 3 ω 2 )

    X c ( ω ) = 2 ω [ sin ( 2 ω ) + sin ( ω ) ]

    X d ( ω ) = 2 ω sin ( 3 ω 2 ) + sin ( ω 2 ) e 3 i ω 2

  2. F ( ω ) = 3 + 2 i ω 2 ω 2 + 3 i ω (using the superposition property)
  3. F ( ω ) = 2 sin ω ω e 2 i ω
    1. f ( t ) = 2 2 < t < 8 0 otherwise
    2. f ( t ) = 4 4 < t < 2 0 otherwise
    3. f ( t ) = e t + 1 t < 1 0 otherwise
  4. 1 2 F ( ω ) + 1 4 F ( ω + 2 ω 0 ) + F ( ω 2 ω 0 )