Solving Differential Equation with Frequency Response

In summary, the solution to the homogeneous DE is necessary to find the general solution to the system.
  • #1
Master1022
611
117

Homework Statement


The AC response of an inductor can be modeled by the following differential equation:
[tex] L \frac{di}{dt} + iR = V [/tex]

Find, using frequency response, the current of the system when the applied voltage V is: [tex] V = V_0 \sin(\omega t) [/tex]

Homework Equations

The Attempt at a Solution


In the attached photo. Does this seem to be correct?

The final form comes out as:
[tex] I(t) = \frac{V_0}{R^2 + L^2\omega^2} [R\sin(\omega t) - \omega L \cos(\omega t)] [/tex]
 

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  • #2
Master1022 said:

Homework Statement


The AC response of an inductor can be modeled by the following differential equation:
[tex] L \frac{di}{dt} + iR = V [/tex]

Find, using frequency response, the current of the system when the applied voltage V is: [tex] V = V_0 sin(\omega t) [/tex]

Homework Equations

The Attempt at a Solution


In the attached photo. Does this seem to be correct?

Your posted image is unreadable on my devices, so there is no way I could judge correctness. Please type out at least the final form of your solution. Doing this should be relatively straightforward using LaTex. But please remember to NOT type "sin" in LaTeX: type "\sin" instead to get much more readable results (##\sin \theta## instead of ##sin \theta,## etc) . The same holds for most other functions: all the trig and inverse trig fcns, the logarithms "\ln" and "\log", as well as "lim", "max", "min", "sup", "inf", plus the hyperbolic fcns, etc.
 
  • #3
Ray Vickson said:
Your posted image is unreadable on my devices, so there is no way I could judge correctness. Please type out at least the final form of your solution.

Thanks for the tips. Have put the final form there now.
 
  • #4
Master1022 said:
Thanks for the tips. Have put the final form there now.

Yes, your final form is correct for a particular solution, but the general solution needs the addition of a solution to the homogeneous DE (which dies away to zero exponentially for large ##t>0##.)

Checking for correctness of a solution can always be done by plugging it into the DE to see if it works. That is something that should always be done; that used to be a tedious procedure, but nowadays we can use a computer algebra system to do all the work.
 

1. What is a differential equation?

A differential equation is a mathematical equation that relates an unknown function to its derivatives. It describes how a quantity changes over time or in relation to other variables.

2. What is frequency response in relation to differential equations?

Frequency response is a measure of how a system or process responds to different frequencies of input signals. In the context of solving differential equations, it refers to how the solution of the equation changes depending on the frequency of the input signal.

3. How do you solve a differential equation using frequency response?

To solve a differential equation using frequency response, you first need to take the Laplace transform of the equation. This transforms the differential equation into an algebraic equation, which can then be solved for the unknown function. The solution can then be transformed back to the time domain using the inverse Laplace transform.

4. Why is frequency response important in solving differential equations?

Frequency response allows us to understand how a system or process will behave under different input signals. By using frequency response, we can analyze the stability, accuracy, and performance of a differential equation solution. It also allows us to design systems that will produce a desired output response.

5. What are some common applications of solving differential equations with frequency response?

Solving differential equations with frequency response has many practical applications, such as in electrical engineering for designing filters and control systems, in physics for analyzing oscillatory systems, and in economics for modeling market dynamics. It is also commonly used in signal processing and communication systems.

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