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Consider a continuous-time signal x(t) defined by x(t) = 0 for |t| > 1, and x(t) = 1 - |t| for |t| ≤ 1. Let the Fourier transform of x(t) be defined as  X ( ω ) = x ( t ) e j ω t d t . The maximum magnitude of X(ω) is _____

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Correct Answer :

1

Solution :

To find the maximum magnitude of the Fourier transform X(ω) of the signal x(t), we begin by analyzing the properties of the signal x(t).

The signal is defined as:
x ( t ) = { 1 | t | for  | t | 1 0 for  | t | > 1
This is a standard triangular pulse centered at t=0 with a peak value of 1 and a base extending from t=-1 to t=1. Note that x(t)0 for all t.

The Fourier transform of x(t) is given by:
X ( ω ) = x ( t ) e j ω t d t
Taking the magnitude of X(ω), we have:
| X ( ω ) | = | x ( t ) e j ω t d t |

Using the triangle inequality for integrals, we can write:
| x ( t ) e j ω t d t | | x ( t ) e j ω t | d t
Since |e-jωt|=1 and x(t)0 everywhere, the inequality simplifies to:
| X ( ω ) | 0 and | X ( ω ) | x ( t ) d t

This upper bound is achieved precisely at ω=0, where:
X ( 0 ) = x ( t ) d t
Since x(t) is non-negative, the maximum magnitude of X(ω) is equal to the area under the signal x(t).

We calculate this area:
x ( t ) d t = 1 1 ( 1 | t | ) d t

Since the integrand is an even function, we can compute it as:
2 0 1 ( 1 t ) d t = 2 [ t t 2 2 ] 0 1 = 2 ( 1 1 2 ) = 2 × 1 2 = 1

Alternatively, this represents the area of a triangle with base width b=2 (from t=-1 to t=1) and height h=1:
Area = 1 2 × base × height = 1 2 × 2 × 1 = 1

Therefore, the maximum magnitude of X(ω) is 1.

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