Laplace transform linearity problem

In summary, the conversation discussed the Laplace Transform of a u(t)*e^(-t/4) function and the confusion regarding the resulting equation. It is clarified that the Laplace Transform for this function is (1/(s+1/4)) and not (1/s)*(1/(s+1/4)), as the latter is not a correct application of the Laplace Transform definition. The concept of transforming a product is also mentioned and the correct result is explained.
  • #1
Frankenstein19
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TL;DR Summary
Don't understand why the Laplace transform for a u(t)*e^(-t/4) isn't (1/s)*(1/(s+1/4)). The book im reading says it's(1/(s+1/4))
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I've included the problem statement and a bit about the function but my main issue is with the equation after "then" and the one with the red asterisk. I don't understand why the Laplace transform for a u(t)*e^(-t/4) isn't (1/s)*(1/(s+1/4)). The book I am reading says it's(1/(s+1/4)).
 
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  • #2
Hi,

This follows from the definition of the Laplace Transform:
[tex] F(s) = \int_0^\infty f(t) e^{-st} dt [/tex]

We know that [itex] u(t) = 1[/itex] for [itex] t \geq 0 [/itex] so it just becomes a 1 in our integral:
[tex] F(s) = \int_0^\infty e^{-t/4} e^{-st} dt = \int_0^\infty e^{-t/4} e^{-st} dt = \int_0^\infty e^{-t(s + \frac{1}{4})} dt[/tex]

and you can get to the result from there.

Hope that helps. What made you think it ought to have an extra [itex] \frac{1}{s} [/itex] term?
 
  • #3
It is not generally the case that the transform of a product is equal to the product of the transforms.

In this case from first principles:
[tex]
\int_0^\infty u(t) e^{-at} e^{-st}\,dt = \int_0^\infty e^{-(s + a)t}\,dt = \frac{1}{s + a}[/tex] since [itex]u(t) = 1[/itex] for all [itex]t \in (0, \infty)[/itex].
 

What is the Laplace transform linearity problem?

The Laplace transform linearity problem is a mathematical concept that deals with the linearity property of the Laplace transform. It states that the Laplace transform of a linear combination of two functions is equal to the same linear combination of their individual Laplace transforms.

Why is the Laplace transform linearity problem important?

The Laplace transform linearity problem is important because it allows us to simplify complex mathematical equations by breaking them down into simpler components. This makes it easier to solve problems in various fields such as engineering, physics, and mathematics.

What is the formula for the Laplace transform linearity problem?

The formula for the Laplace transform linearity problem is L{a*f(t) + b*g(t)} = a*L{f(t)} + b*L{g(t)}, where L{} represents the Laplace transform operator, f(t) and g(t) are two functions, and a and b are constants.

How is the Laplace transform linearity problem used in real-world applications?

The Laplace transform linearity problem is used in various real-world applications, such as circuit analysis, control systems, and signal processing. It allows engineers and scientists to model and analyze complex systems and phenomena in a more efficient and accurate manner.

What are some common misconceptions about the Laplace transform linearity problem?

One common misconception about the Laplace transform linearity problem is that it only applies to linear systems. However, it can also be applied to non-linear systems by using the concept of superposition. Another misconception is that the Laplace transform is only used in electrical engineering, when in fact it has many applications in other fields as well.

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