How Does a Linear System Respond to a Sine Wave Input Using Fourier Transform?

In summary, a linear system is a mathematical model that uses linear equations to describe the relationship between input and output variables, following the principle of superposition. The response of a linear system is the output when a specific input is applied, and it can be calculated using methods such as time-domain analysis, frequency-domain analysis, or Laplace transform. The response of a linear system can be influenced by factors such as system parameters, input signal, external disturbances, and system type. Studying the response of linear systems has various practical applications, including control systems, signal processing, and understanding physical systems.
  • #1
jaguar515
1
0
Find the response of the of the linear system at rest
y' + y = x , where x = sin(t)
using the Fourier transform and formulas :

Y(jw)=H(jw)X(jw)
y(t)=h(t)*x(t) convolution
 
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  • #2
jaguar515 said:
Find the response of the of the linear system at rest
y' + y = x , where x = sin(t)
using the Fourier transform and formulas :

Y(jw)=H(jw)X(jw)
y(t)=h(t)*x(t) convolution
If the FT of y(t) is [tex]Y(j\omega)[/tex] what is the FT of y'(t)?
 
  • #3


The response of a linear system is the output of the system when a specific input is applied. In this case, we are given a linear system with a differential equation y' + y = x, where x is an input function defined as sin(t). To find the response of this system at rest, we can use the Fourier transform and the convolution formula.

First, we can apply the Fourier transform to both sides of the equation to get:

jωY(jω) + Y(jω) = X(jω)

Next, we can solve for Y(jω) by dividing both sides by jω + 1:

Y(jω) = X(jω) / (jω + 1)

Now, we can substitute the given input function x(t) = sin(t) into the equation to get:

Y(jω) = sin(ω) / (jω + 1)

To find the response at rest, we need to evaluate this expression at t = 0, which means ω = 0. Plugging this into the equation, we get:

Y(j0) = sin(0) / (j0 + 1) = 0 / 1 = 0

Therefore, the response of the linear system at rest is 0. This means that when the system is not being driven by an external input, the output will be 0. This makes sense intuitively, as a system at rest should not have any output.

To further confirm this result, we can also use the convolution formula to find the response. The convolution formula states that the output y(t) can be found by convolving the input x(t) with the impulse response h(t):

y(t) = h(t) * x(t)

In this case, the impulse response h(t) can be found by taking the inverse Fourier transform of Y(jω):

h(t) = F^-1{Y(jω)} = F^-1{sin(ω) / (jω + 1)}

To evaluate this inverse Fourier transform, we can use the formula for the inverse Fourier transform of sin(ω) / ω, which is a shifted delta function:

F^-1{sin(ω) / ω} = πδ(t)

Applying this to our equation, we get:

h(t) = πδ(t + 1)

Finally, we can convolve this impulse response with the input x(t) = sin(t)
 

1. What is a linear system?

A linear system is a mathematical model that describes the relationship between input and output variables using linear equations. This means that the system's output varies in direct proportion to its input, and the system follows the principle of superposition.

2. What is the response of a linear system?

The response of a linear system is the output of the system when a specific input is applied. It can be represented as a function of time, frequency, or any other independent variable.

3. How is the response of a linear system calculated?

The response of a linear system can be calculated using various methods, such as time-domain analysis, frequency-domain analysis, or Laplace transform. The specific method used depends on the characteristics of the system and the type of input.

4. What factors affect the response of a linear system?

The response of a linear system can be affected by various factors, such as the system's parameters, the nature and magnitude of the input signal, and external disturbances. Additionally, the type of system (e.g., first-order, second-order) can also impact its response.

5. What are the applications of studying the response of linear systems?

Studying the response of linear systems has various practical applications, such as in control systems, signal processing, and communication systems. It also helps in understanding and predicting the behavior of physical systems, such as electrical circuits, mechanical systems, and biological systems.

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