How to tell if F(s) is laplace transform?

In summary, the functions F(s) and G(s) are Laplace transforms because they are combinations of well-known Laplace transforms and can be expressed as convolutions, making them suitable for solving problems in areas such as elasticity. Additionally, the inverse Laplace transform of G(s) is the Bessel function of order zero.
  • #1
useruseruser
5
0
Explain why the functions

[tex]F(s)=\frac{s^2+4s+17}{s^5+16s^3+2^2+6}[/tex]
[tex]G(s)=\frac{2s}{(s^2+4)(\sqrt{1+s^2})}[/tex]

are Laplace transforms. (DO NOT TRY TO INVERT THESE LAPLACE TRANSFORMS)

Is it something to do with some basic property of laplace transform?
 
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  • #2
Maybe it relates how you take some known Laplace transforms, and make other transforms from them.
 
  • #3
useruseruser said:
Explain why the functions

[tex]F(s)=\frac{s^2+4s+17}{s^5+16s^3+2^2+6}[/tex]
[tex]G(s)=\frac{2s}{(s^2+4)(\sqrt{1+s^2})}[/tex]

are Laplace transforms.

Because that's what a Laplace transform does. <--Put that into technical terms.
 
  • #4
I would be very tempted to answer "How do you these are Laplace transforms" with "You don't. It is quite possible that these functions came from something that has nothing to do with Laplace transforms". But I suspect the question is really "How do you know there are functions that have these Laplace transforms". That, I would probably say, is because they are combinations of well known Laplace transforms- and Laplace transforms of complicated functions are typically combinations of Laplace transforms of simpler functions.
 
  • #5
The first one is a well-behaved one (simple poles etc.) but for the second, I think you need to come up with a convergence argument such that, we can approximate your function with the squareroot arbitrarily close by rational functions, such that the limit will be your transform.

I don't remember exactly your answer but I suspect that this has to do with the existence of Pade tables and the related conditions.

They typically use it in the elasticity or that kind of areas where the Laplace transforms look very unconventional.

Edit : It should be something related to Tauberian theorems if I am not mistaken
 
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  • #6
The product of Laplace transforms always has an inverse, given by a convolution product. The Inverse Laplace transform of
1/sqrt(1+s^2) is the Bessel function of order zero.
 

FAQ: How to tell if F(s) is laplace transform?

How do I know if a function is a Laplace transform?

The easiest way to tell if a function is a Laplace transform is to check if it has the form of the Laplace transform integral, which is: F(s) = ∫0 f(t)e-stdt. If the function follows this form, then it is a Laplace transform.

Can any function be a Laplace transform?

No, not all functions can be a Laplace transform. For a function to be a Laplace transform, it must follow certain criteria such as being continuous, having a finite number of discontinuities, and being bounded.

How can I find the inverse Laplace transform of a given function?

To find the inverse Laplace transform of a function, you can use a table of Laplace transforms or use the definition of the inverse Laplace transform, which is: f(t) = (1/2πi)∫γ-i∞γ+i∞ F(s)estds, where γ is a real number larger than the real parts of all singularities of the function F(s).

What is the significance of the Laplace transform in science and engineering?

The Laplace transform is a valuable tool in science and engineering for solving differential equations, analyzing systems and signals, and understanding the behavior of complex systems. It allows us to transform a function from the time domain to the frequency domain, making it easier to analyze and manipulate.

Are there any common mistakes to avoid when using Laplace transforms?

One common mistake when using Laplace transforms is forgetting to use the correct region of convergence when finding the inverse Laplace transform. It is important to choose the correct γ value to ensure the integral converges. Another mistake is not carefully considering the properties of the Laplace transform, such as linearity and time-shifting, which can greatly simplify calculations.

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