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Question

The output of a continuous-time, linear time-invariant system is denoted by \(T\left\{ {x\left( t \right)} \right\}\) where \(x\left( t \right)\) is the input signal. A signal \(z\left( t \right)\) is called eigen-signal of the system  , when \(T\left\{ {z\left( t \right)} \right\} = \gamma z\left( t \right)\), where \(\gamma \) is a complex number, in general, and is called an eigenvalue of \(T\). Suppose the impulse response of the system \(T\) is real and even. Which of the following statements is TRUE?

The correct answer is \(cos\left( t \right)\)and \(sin\left( t \right)\)  are both eigen-signals with identical eigenvalues 

Understanding Eigen-signals in LTI Systems

The question asks us to identify the behavior of cosine and sine signals when passed through a linear time-invariant (LTI) system whose impulse response \(h(t)\) is both real and even. An eigen-signal \(z(t)\) of a system \(T\) is defined by the property that the system's output is just a scaled version of the input signal itself:

$$ T\left\{ {z\left( t \right)} \right\} = \gamma z\left( t \right) $$

Here, \(\gamma\) is a scalar constant known as the eigenvalue associated with the eigen-signal \(z(t)\). For LTI systems, the output \(y(t)\) when the input is \(x(t)\) is given by the convolution of the input signal with the system's impulse response \(h(t)\):

$$ y(t) = T\left\{ {x\left( t \right)} \right\} = x\left( t \right) * h\left( t \right) = \int_{-\infty}^{\infty} x(\tau) h(t-\tau) d\tau $$

Analyzing Cosine and Sine Signals

We need to check if \(cos(t)\) and \(sin(t)\) satisfy the eigen-signal condition for an LTI system with a real and even impulse response \(h(t)\). A key property is that if \(h(t)\) is real and even, its Fourier Transform, \(H(\omega)\), is also real and even.

Case 1: Input Signal is \(cos(t)\)

Let the input signal be \(x(t) = cos(t)\). The output \(y(t)\) is:

$$ y(t) = cos(t) * h(t) $$

Using the Fourier Transform properties, the Fourier Transform of the output \(Y(\omega)\) is the product of the Fourier Transforms of the input \(X(\omega)\) and the impulse response \(H(\omega)\):

$$ Y(\omega) = X(\omega) H(\omega) $$

The Fourier Transform of \(cos(t)\) is \(X(\omega) = \pi[\delta(\omega - 1) + \delta(\omega + 1)]\). Since \(h(t)\) is real and even, \(H(\omega)\) is real and even, meaning \(H(\omega) = H(-\omega)\).

Therefore,

$$ Y(\omega) = \pi[\delta(\omega - 1) + \delta(\omega + 1)] H(\omega) $$ $$ Y(\omega) = \pi H(1) \delta(\omega - 1) + \pi H(-1) \delta(\omega + 1) $$

Since \(H(\omega)\) is even, \(H(1) = H(-1)\). Let \(H(1) = \gamma_1\).

$$ Y(\omega) = \pi \gamma_1 [\delta(\omega - 1) + \delta(\omega + 1)] $$

This \(Y(\omega)\) is proportional to the Fourier Transform of \(cos(t)\). This implies that the output signal \(y(t)\) is a scaled version of \(cos(t)\):

$$ y(t) = \gamma_1 cos(t) $$

Thus, \(cos(t)\) is an eigen-signal with eigenvalue \(\gamma_1 = H(1)\).

Case 2: Input Signal is \(sin(t)\)

Let the input signal be \(x(t) = sin(t)\). The output \(y(t)\) is:

$$ y(t) = sin(t) * h(t) $$

The Fourier Transform of \(sin(t)\) is \(X(\omega) = \pi j[\delta(\omega + 1) - \delta(\omega - 1)]\). Again, \(H(\omega)\) is real and even.

$$ Y(\omega) = X(\omega) H(\omega) = \pi j[\delta(\omega + 1) - \delta(\omega - 1)] H(\omega) $$ $$ Y(\omega) = \pi j H(1) [\delta(\omega + 1) - \delta(\omega - 1)] - \pi j H(-1) [\delta(\omega - 1) - \delta(\omega + 1)] $$

Since \(H(1) = H(-1)\), let \(H(1) = \gamma_2\).

$$ Y(\omega) = \pi j \gamma_1 [\delta(\omega + 1) - \delta(\omega - 1)] + \pi j \gamma_1 [\delta(\omega + 1) - \delta(\omega - 1)] $$ $$ Y(\omega) = \pi j \gamma_1 [\delta(\omega + 1) - \delta(\omega - 1)] $$

This \(Y(\omega)\) is proportional to the Fourier Transform of \(sin(t)\). This implies that the output signal \(y(t)\) is a scaled version of \(sin(t)\):

$$ y(t) = \gamma_1 sin(t) $$

Thus, \(sin(t)\) is also an eigen-signal with eigenvalue \(\gamma_2 = H(1)\).

Comparing Eigenvalues

From the analysis above, the eigenvalue for \(cos(t)\) is \(\gamma_1 = H(1)\) and the eigenvalue for \(sin(t)\) is \(\gamma_2 = H(1)\).

Therefore, both \(cos(t)\) and \(sin(t)\) are eigen-signals of the LTI system, and they share the same (identical) eigenvalue, which is the value of the system's frequency response \(H(\omega)\) evaluated at \(\omega = 1\) (or \(\omega = -1\)).

Conclusion

Based on the derivation, both \(cos(t)\) and \(sin(t)\) are eigen-signals for the described system, and they possess identical eigenvalues. This matches option 4.

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Important Questions from Continuous Time LTI Systems

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  2. A continuous time LTI system is described by

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  3. Consider a continuous-time system with input x(t) and output y(t) given by

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