Douglas' question regarding Laplace Transforms (1)

In summary, the best approach for solving this problem is through partial fraction decomposition. The final answer is $\frac{1}{2} e^{4t} \cos{(4t)} \left( 1 - e^{-8t} \right)$.
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Question: L^-1 [ 2(s^2 - 32) / s^4 + 1024]
My Initial thoughts:

- formula 37/38 from table because s^4 denominator

- partial fractions?

= 2(s^2 - 32) / s^4 + 32^2]= 2(s^2 - 32) / (s^2 + 32)^2]

How would you go about cancelling the (s^2 -32) and (s^2 + 32)^2 ?

Im sure this the right approach...

Hi Douglas, I agree, partial fractions would be the best approach. Notice that

$\displaystyle \begin{align*} s^4 + 1024 &= \left( s^2 \right) ^2 + 2\cdot s^2 \cdot 32 + \left( 32 \right) ^2 - 2\cdot s^2 \cdot 32 ^2 \\ &= \left( s^2 + 32 \right) ^2 - 64s^2 \\ &= \left( s^2 + 32 \right) ^2 - \left( 8s \right) ^2 \\ &= \left( s^2 - 8s + 32 \right) \left( s^2 + 8s + 32 \right) \end{align*}$

The partial fraction decomposition of $\displaystyle \begin{align*} \frac{2 \left( s^2 - 32 \right) }{ s^4 + 1024 } \end{align*}$ is

$\displaystyle \begin{align*} \frac{2 \left( s^2 - 32 \right) }{ s^4 + 1024} &= -\frac{1}{4} \left( \frac{s + 4}{s^2 + 8s + 32} \right) + \frac{1}{4} \left( \frac{s - 4}{s^2 - 8s + 32} \right) \\ &= -\frac{1}{4} \left[ \frac{s + 4}{ \left( s + 4 \right) ^2 + 16} \right] + \frac{1}{4} \left[ \frac{s - 4}{ \left( s - 4 \right) ^2 + 16 } \right] \end{align*}$

and so now

$\displaystyle \begin{align*} \mathcal{L} \left\{ -\frac{1}{4} \left[ \frac{s + 4}{ \left( s + 4 \right) ^2 + 16 } \right] + \frac{1}{4} \left[ \frac{s - 4}{ \left( s - 4 \right) ^2 + 16} \right] \right\} &= -\frac{1}{4} e^{-4t} \mathcal{L} \left\{ \frac{s}{s^2 + 4^2} \right\} + \frac{1}{4} e^{4t} \mathcal{L} \left\{ \frac{s}{s^2 + 4^2} \right\} \textrm{ (First Shift Theorem)} \\ &= -\frac{1}{4}e^{-4t} \cos{(4t)} + \frac{1}{4}e^{4t} \cos{(4t)} \end{align*}$
 
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which simplifies to

$\displaystyle \begin{align*} \mathcal{L} \left\{ \frac{2 \left( s^2 - 32 \right) }{ s^4 + 1024} \right\} &= \frac{1}{2} \left[ e^{4t} \cos{(4t)} - e^{-4t} \cos{(4t)} \right] \\ &= \frac{1}{2} e^{4t} \cos{(4t)} \left( 1 - e^{-8t} \right) \end{align*}$

So the final answer is

$\displaystyle \begin{align*} \frac{2 \left( s^2 - 32 \right) }{ s^4 + 1024} &= \frac{1}{2} e^{4t} \cos{(4t)} \left( 1 - e^{-8t} \right) \end{align*}$

I hope this helps! Let me know if you have any other questions.
 

FAQ: Douglas' question regarding Laplace Transforms (1)

What is a Laplace Transform?

A Laplace transform is a mathematical operation used to convert a function from the time domain to the frequency domain. It is represented by the symbol ℓ and is commonly used to analyze systems described by differential equations.

Why are Laplace Transforms useful?

Laplace transforms are useful because they can simplify complex mathematical problems involving differential equations into simpler algebraic equations. They also allow us to analyze the behavior of systems in the frequency domain, which can provide insights that are not easily seen in the time domain.

How do you perform a Laplace Transform?

To perform a Laplace transform, you take a function of time (f(t)) and apply the transform operator ℓ to it. This results in a new function, F(s), which represents the function in the frequency domain. The formula for the Laplace transform is: F(s) = ∫ f(t)e-st dt, where s is a complex number.

What are some applications of Laplace Transforms?

Laplace transforms have a wide range of applications in physics, engineering, and other fields. They are commonly used in control systems, signal processing, circuit analysis, and more. They can also be used to solve differential equations in heat transfer, fluid mechanics, and other areas of science and engineering.

Are there any limitations to using Laplace Transforms?

While Laplace transforms are a powerful tool, they do have some limitations. They can only be applied to functions that are defined for all positive values of t and have a finite number of discontinuities. Additionally, they may not be suitable for analyzing certain types of systems, such as systems with non-linear components.

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