One-dimensional Uniform plane wave

AI Thread Summary
The discussion focuses on solving the one-dimensional uniform plane wave equation, specifically questioning the assumption of the general solution E = F1(z-ct) + F2(z+ct). It explores an alternative method using light-cone coordinates, which simplifies the wave equation to a form that is easier to integrate. The integration leads to a solution expressed as f(x1, x2) = f1(x1-x2) + f2(x1+x2), where f1 and f2 are arbitrary functions determined by initial and boundary conditions. The conversation emphasizes that this approach does not require prior assumptions about the solution. Overall, it highlights a method for deriving solutions without reliance on specific functional forms.
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to solve one dimensional uniform plane wave, why assumed E = F1(z-ct) + F2(z+ct) as a general solution of second order differential equation and in trigonometric form particular function assumed to be Ey =Sin B(z+mt).. Is there any other method like Laplace solution or something where i don't have to assume this... ..
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Is there solution exist without assuming anything for this function.
 
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Let's write the equation as
\partial_1^2 f(x_1,x_2)-\partial_2^2 f(x_1,x_2)=0.
You can always set x_1=c t to get it in physical units of time.

This is the wave equation in 1 spatial dimension. Now the trick is to rewrite this in terms of "light-cone coordinates",
\xi=x_1+x_2, \quad \eta=x_1-x_2.
Now you have, according to the chain rule,
<br /> \frac{\partial}{\partial x_1} f=\frac{\partial \xi}{\partial x_1} \frac{\partial f}{\partial \xi} +\frac{\partial \eta}{\partial x_1} \frac{\partial f}{\partial \eta}=\frac{\partial f}{\partial \xi} + \frac{\partial f}{\partial \eta}.
In the same way you derive step by step the second derivatives \partial_1^2 and \partial_2^2 in terms of the derivatives with respect to the light-cone variables \xi and \eta.

At the end the wave equation reads
\partial_{\xi} \partial_{\eta} f=0.
This is now very easy to integrate. The vanishing of the partial derivative with respect to \xi means that the function is only dependent on \eta. Thus you have
\partial_{\eta} f=g(\eta).
But this implies that
f(\xi,\eta)=f_1(\eta)+f_2(\xi), \quad f(\eta)=\int \mathrm{d} \eta g(\eta).
There's an additional function f_2(\xi), because the partial derivative of a function wrt. to \eta determines this function only up to a function, indepenent of \eta, i.e., it can only depend on \xi.

Now you can rewrite this equation in terms of the old coordinates, i.e.,
f(x_1,x_2)=f_1(x_1-x_2) + f_2(x_1+x_2).
Here f_1 and f_2 are indeed arbitrary functions that are determined by appropriate initial and boundary conditions.
 
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