Partial Differential Equations - Variable Seperable Solutions

In summary, there is a proof that in partial differential equations, one can assume the existence of variable separable solutions and take the linear combination of all of them to be the general solution. This is because almost any function can be written in this way, allowing for infinite sums or integrals. However, this only applies to linear partial DEs.
  • #1
TZW85
3
0
Hi there,

Does anyone know of a proof of why, in partial DEs, one can assume the existence of variable seperable solutions, then take the linear combination of all of them to be the general solution? Why can't there be any other funny solutions that fall outside the space spanned by these variable seperable ones?
 
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  • #2
TZW85 said:
Hi there,

Does anyone know of a proof of why, in partial DEs, one can assume the existence of variable seperable solutions, then take the linear combination of all of them to be the general solution? Why can't there be any other funny solutions that fall outside the space spanned by these variable seperable ones?
Because (almost) any function can be written that way! It's not a matter of "no solutions that fall outside the space"- there are (almost)no functions that fall outside the space- if you allow infinite sums. For example, any analytic function of x and y can be written as a Taylor series in x and y- a sum powers of x and powers of y. Any periodic function of x and y, even if not continuous, can be written as a sum of products of sin or cos of x times sin or cos of y. If you allow integrals rather than sums of such functions, such as Fourier Transforms, the space of all functions that can be written in that form is much larger.
 
  • #3
We are talking about properties of solutions to LINEAR partial DE's here, I hope.
 
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What are partial differential equations?

Partial differential equations (PDEs) are mathematical equations that involve multiple independent variables and their partial derivatives. They are used to model a wide range of phenomena in physics, engineering, and other fields.

What is the variable separable method for solving PDEs?

The variable separable method is a common technique for solving certain types of PDEs. It involves separating the variables in the equation and solving each part separately, then combining the solutions to obtain a general solution.

What types of PDEs can be solved using the variable separable method?

The variable separable method is most commonly used for first-order linear PDEs and second-order linear PDEs with constant coefficients. It can also be applied to some nonlinear PDEs, but the process may be more complex.

What are the steps for solving a PDE using the variable separable method?

The steps for solving a PDE using the variable separable method are: 1) Separate the variables in the equation, 2) Solve each separated equation, 3) Combine the solutions using the appropriate boundary conditions, and 4) Check the solution for consistency and accuracy.

What are the benefits of using the variable separable method for solving PDEs?

The variable separable method is relatively straightforward and can be applied to a wide range of PDEs. It also provides a general solution that can be used to solve specific boundary value problems. Additionally, the method can be modified and extended for more complex PDEs.

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