Splitting PDE into system of PDEs

In summary, the conversation was about splitting a second-order partial differential equation into two separate equations with first-order derivatives. The equation was given as \frac{{\partial p^2 }}{{\partial x^2 }} + \frac{{\partial p^2 }}{{\partial y^2 }} = A\frac{{\partial ^2 p}}{{\partial t^2 }} + B\frac{{\partial p}}{{\partial t}}, and the goal was to rewrite the second-order spatial derivatives on the LHS as first-order derivatives. It was suggested to use the rules of introducing another variable and removing a del operator for the LHS, and removing a derivative for the RHS.
  • #1
nkinar
76
0
Hello:

I am wondering if there is a general way of splitting the following PDE into two separate equations. I would like to re-write the second-order spatial derivatives on the LHS as first-order derivatives.

[tex]
\[
\frac{{\partial p^2 }}{{\partial x^2 }} + \frac{{\partial p^2 }}{{\partial y^2 }} = A\frac{{\partial ^2 p}}{{\partial t^2 }} + B\frac{{\partial p}}{{\partial t}}
\]
[/tex]

So once the above equation is split, there should be two equations involving only first-order spatial derivatives ([tex]\partial p/\partial x[/tex] and [tex]\partial p/\partial y[/tex]).
 
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  • #2
I think that this equation can be split using the following rules:

(1) The LHS of the wave equation is split by introducing another variable and removing a del operator.

[tex]
\[
\frac{{\partial \psi }}{{\partial t}} = \nabla p
\]
[/tex](2) The RHS of the wave equation is split by removing a derivative:

[tex]
\[
\nabla \psi = A\frac{{\partial p}}{{\partial t}} + Bp
\]
[/tex]
 

FAQ: Splitting PDE into system of PDEs

What is the purpose of splitting a PDE into a system of PDEs?

Splitting a PDE into a system of PDEs can make it easier to solve complex problems, as it breaks down the original PDE into smaller, more manageable equations that can be solved individually. It can also help to better understand the underlying physical phenomena of the problem.

How is a PDE typically split into a system of PDEs?

There are several methods for splitting a PDE into a system of PDEs, including the method of characteristics, the method of lines, and the method of finite differences. These methods involve breaking down the original PDE into simpler equations based on certain properties or characteristics of the equation.

What are some advantages of splitting a PDE into a system of PDEs?

Splitting a PDE into a system of PDEs can make it easier to solve numerically, as each individual equation can be solved using established techniques. It can also improve the accuracy of the solution, as smaller, simpler equations are often easier to solve accurately than a single complex one.

Are there any limitations to splitting a PDE into a system of PDEs?

One limitation of this approach is that it may not always be possible to split a PDE into a system of PDEs, particularly for highly nonlinear or coupled equations. Additionally, the resulting system of equations may be computationally more expensive to solve compared to the original PDE.

In what types of problems is splitting a PDE into a system of PDEs commonly used?

Splitting a PDE into a system of PDEs is commonly used in problems involving fluid dynamics, heat transfer, and electromagnetism. It is also used in problems with multiple spatial dimensions and in problems where the PDE has a high degree of nonlinearity.

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