Which inverse Laplace form can I use?

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SUMMARY

The discussion focuses on solving a second-order differential equation using the inverse Laplace transform. The user initially considers using the inverse transform to obtain the solution in the form of e^{at}cos(bt) with b=0, which only addresses the homogeneous part. However, to include the Dirac delta function, the user must manipulate Y(s) appropriately, potentially employing partial fraction decomposition. The solution requires ensuring compatibility of parameters α, β, and κ to maintain continuity at x=0, leading to the conclusion that if α ≠ 0, the problem cannot be solved using Laplace transforms.

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kostoglotov
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Homework Statement



I have the second order diff eq:
CAK3UGm.gif


Solving by Laplace transform gets me to:
sUwM9Mn.gif


I could use the inverse laplace transform that takes me back to e^{at}cos(bt) with b=0, but that only solves for the homogeneous (complementary) part of the equation, it won't reproduce the dirac delta function.

What should I manipulate the Y(s) into? Should I tackle it with partial fraction decomposition?

Homework Equations

The Attempt at a Solution

 
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kostoglotov said:

Homework Statement



I have the second order diff eq:
CAK3UGm.gif


Solving by Laplace transform gets me to:
sUwM9Mn.gif


I could use the inverse laplace transform that takes me back to e^{at}cos(bt) with b=0, but that only solves for the homogeneous (complementary) part of the equation, it won't reproduce the dirac delta function.

What should I manipulate the Y(s) into? Should I tackle it with partial fraction decomposition?

Homework Equations

The Attempt at a Solution

I didn't verify your work.
##Y(s) =\frac{}{} = \frac{\alpha s}{(s - 4)^2} + \frac{\kappa - 8\alpha + \beta}{(s - 4)^2}##
Take the inverse Laplace transform of each of the two parts on the right. The numerator on the right is just a constant. A table of inverse Laplace transforms should have both of these.
 
kostoglotov said:

Homework Statement



I have the second order diff eq:
CAK3UGm.gif


Solving by Laplace transform gets me to:
sUwM9Mn.gif


I could use the inverse laplace transform that takes me back to e^{at}cos(bt) with b=0, but that only solves for the homogeneous (complementary) part of the equation, it won't reproduce the dirac delta function.

What should I manipulate the Y(s) into? Should I tackle it with partial fraction decomposition?

Homework Equations

The Attempt at a Solution


If you want to have ##y(x) = 0## for ##x < 0##, then the DE + initial conditions are compatible only if ##\alpha = 0## and ##\kappa = \beta##. To see this, look at the left-hand-side near ##x=0##, and interpret the derivatives in terms of generalized functions (##\delta (x)##, etc.). If ##\alpha \neq 0## we have ##y'(x) = \alpha \delta (x) + \; \text{smooth terms}## and ##y''(x) = \alpha \delta'(x) + \beta \delta (x) + \: \text{smooth terms}##, so we would need
$$\alpha \delta'(x) +\beta \delta(x) - 8 \alpha \delta (x) = \kappa \delta(x). $$
This fails because ##\delta## and ##\delta'## are very different as generalize functions. On the other hand, if ##y(x)## is continuous at ##x = 0##, so that ##\alpha = 0##, we have ##\beta \delta (x) = \kappa \delta (x)##, and this works when ##\kappa = \beta##.

If ##\alpha, \beta## and ##\kappa## are three different parameters, we cannot have ##y(x) = 0## for ##x < 0##, and so we cannot solve the problem using Laplace transforms. We could try a Fourier transform instead, but by far the easiest way would be the direct approach where we apply different valuations of the homogeneous solution for ##x > 0## and for ##x < 0##, then match up the boundary conditions at ##x = 0##. By this I mean: use homogeneous solution ##y(x) = a_1\, y_1(x) + a_2 \, y_2(x)## for ##x < 0## and ##y(x) = b_1\, y_1(x) + b_2 \,y_2(x)## for ##x > 0## (with the same functions ##y_1(x)## and ##y_2(x)## in both). Assuming ##y## continuous at ##x = 0## we get ##y(0-) = \alpha## and ##y(0+) = \alpha##. Next: integrate the DE from ##x = -\epsilon## to ##x = +\epsilon## and then look at the limit as ##\epsilon \to 0##. That gives ##y'(\epsilon)- y'(-\epsilon) + O(\epsilon) = \kappa##, so the condition is ##y'(0+) - y'(0-) = \kappa##. Thus, ##y'(0+) = \beta## and ##y'(0-) = \beta - \kappa##. Those four conditions allow determination of ##a_1,a_2, b_1,b_2##.
 
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