Can Laplace Transform Solve Differential Equations with Arbitrary Constants?

  • Thread starter bfaskiplar
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In summary, the problem can be solved by varying the parameters or by solving it using the laplace transform.
  • #1
bfaskiplar
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hi guys

i cannot solve this.

say that y'' + y = g(t) derive the formula y(t) = c1*cost + c2*sint + convolution of sint and g(t)
 
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  • #2
Either solve it via variation of parameters or since you mentioned laplace, take the laplace transform of both sides:

[tex]\mathcal{L}\left\{y''+y=f(x)\right\}[/tex]

and letting:

[tex]\mathcal{L}\left\{y\right\}=\widetilde{y}[/tex]

solve for [itex]\widetilde{y}[/itex], invert, and use the convolution theorem to express the solution in terms of a convolution.

Look in any DE textbook and this problem will be solved both ways.
 
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  • #3
Use the method of variation of arbitrary constants. The solution to the homogeneous equation is:

[tex]
y_{0}(t) = C_{1} \, \cos{t} + C_{2} \, \sin{t}
[/tex]

Then, assume [itex]C_{i} \rightarrow C_{i}(t), i = 1, 2[/itex] where these functions satisfy the following conditions:

[tex]
\left[\begin{array}{cc}
\cos{t} & \sin{t} \\

-\sin{t} & \cos{t}
\end{array}\right] \cdot \left[\begin{array}{c}
C'_{1}(t) \\

C'_{2}(t)
\end{array}\right] = \left[\begin{array}{c}
0 \\
g(t)
\end{array}\right]
[/tex]

The solution for [itex]C'_{i}(t)[/itex] is:

[tex]
\left[\begin{array}{c}
C'_{1}(t) \\

C'_{2}(t)
\end{array}\right] = \left[\begin{array}{cc}
\cos{t} & -\sin{t} \\

\sin{t} & \cos{t}
\end{array}\right] \cdot \left[\begin{array}{c}
0 \\
g(t)
\end{array}\right] = \left[\begin{array}{c}
-\sin{t} \, g(t) \\

\cos{t} \, g(t)
\end{array}\right]
[/tex]

One integration gives the following:

[tex]
C_{1}(t) = C_{1} - \int_{t_{0}}^{t}{g(t') \, \sin{t'} \, dt'}
[/tex]

[tex]
C_{2}(t) = C_{2} + \int_{t_{0}}^{t}{g(t') \, \cos{t'} \, dt'}
[/tex]

Substituting this into the expression for the general solution, one gets:

[tex]
y(t) = C_{1} \, \cos{t} + C_{2} \, \sin{t} + \int_{t_{0}}^{t}{g(t') \, \left(\sin{t} \, \cos{t'} - \cos{t} \, \sin{t'}\right) \, dt' \right)}
[/tex]

where, the integrating constants [itex]C_{1/2}[/itex], are determined from the initial conditions:

[tex]
y(t_{0}) = C_{1}
[/tex]

[tex]
y'(t_{0}) = C_{2}
[/tex]

Using the addition theorem for the sine function:

[tex]
\sin{(t - t')} = \sin{t} \, \cos{t'} - \cos{t} \, \sin{t'}
[/tex]

we see that the above integral can be written as:

[tex]
\int_{t_{0}}^{t}{g(t') \, \sin{(t - t')} \, dt'}
[/tex]

Take [itex]t_{0} = 0[/itex] and compare with the definition for convolution, you will get your desired result.
 

1. What is Laplace transformation and why is it important in science?

Laplace transformation is a mathematical tool used to solve differential equations in various scientific fields. It is important because it allows us to convert a complex differential equation into a simpler algebraic equation, making it easier to solve and understand the behavior of a system.

2. How does Laplace transformation work?

Laplace transformation involves applying a specific mathematical formula to a function in order to transform it from the time domain to the frequency domain. This transformation allows us to analyze the behavior of a system over time and understand its stability and response to different inputs.

3. What are the applications of Laplace transformation in scientific research?

Laplace transformation has numerous applications in physics, engineering, and other scientific fields. It is commonly used in circuit analysis, control systems, signal processing, and fluid dynamics, among others.

4. What are the advantages and limitations of using Laplace transformation?

The advantages of Laplace transformation include its ability to simplify complex differential equations and provide a more intuitive understanding of a system's behavior. However, it may not always be applicable or accurate in certain scenarios, and its use requires a good understanding of mathematical concepts.

5. Are there any alternatives to Laplace transformation in solving problems?

Yes, there are other methods for solving differential equations, such as Fourier transformation or numerical methods. Each method has its own advantages and limitations, and the choice of method depends on the specific problem at hand.

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