How to reduce higher order partial differential equations

In summary, the_wolfman attempted to reduce a system of partial differential equations to a system of first order equations but ran into difficulties. He is seeking guidance on how to do so.
  • #1
Ojo Saheed
6
0
Hello guys,
I have the system of PDE below and I want to solve it using finite difference method but I think I have to reduce it first to a system of first order PDE. The problem is that I don't know how to reduce this PDE to a first order system. I will appreciate any hints in this regard. Thanks

6w1 + μ1∂/∂t(∇4w1) + μ22/∂t2(∇2w1) + μ34w1 + μ43w1 /∂t3 + μ5∂/∂t(∇2w2) + μ62w2 = g1(x, y, t)

6w2 + χ1∂/∂t(∇4w2) + χ22/∂t2(∇2w2) + χ34w2 + χ43w2 /∂t3 + χ5∂/∂t(∇2w1) + χ64w1 = g2(x, y, t)
 
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  • #2
The usual trick to reducing the order is to introduce a new variable, let's say [itex] u [/itex] such that [itex]\frac{\partial w}{\partial t} =u[/itex]. Then in your original equation you replace at explicit factors of [itex]\frac{\partial w}{\partial t}[/itex] with [itex] u [/itex].

You then have to also solve the equation [itex]\frac{\partial w}{\partial t} =u[/itex] simultaneously.

You can do this in general for higher order derivatives too. For instances let's introduce [itex] v [/itex] such that [itex]\frac{\partial^2 w}{\partial t^2} =\frac{\partial u}{\partial t}=v[/itex]. In this way we can reduces in high order differential equation into a system of first order equations.

However a word of caution. Numerically solving the your system of equations is not a trivial task. You really need to analyze the system of in order to find an optimal numerical method.

There are different ways of formulating finite difference operators. The different formulations are optimal in differential situations, and not all formulations work for all problems. This is especially true when dealing with a system of partial differential equations that has a 6th order spatial operator and a 3 order temporal operator.
 
  • #3
Thanks for the response the_wolfman. I will proceed as you suggested but could you give me some hints on how to analyse the system to determine the optimal finite difference formulation for my problem? This is my first time to encounter this type of equations and I just think reducing it to first order system would suffice to solve the problem.
 
  • #4
It sounds like you don't have much experience in numerical analysis. I'd start by solving some easier problems like the heat equation and the wave equation. Theres a plethora of literature out there on how to do so. Work through the von Neumann stability analysis. Derive the finite difference operators using a Taylor expansion etc. You need to be proficient in this techniques before tackling more challenging problems.

Also, where do your equations come from? Do they have a name? Do a literature review to see how other people solve them.
 
  • #5
Once again thanks. Actually, I have solved some problems regarding heat equations and system of ordinary differential equations recently using finite difference method. This particular equation is just a coupled problem of thermoelasticity involving heat and stress equations. Usually, I do solve problems involving systems of differential equations by reducing it to first order system and it works fine but I have never used this method for system of PDEs and I also encounter some difficulties in reducing this equation to first order system, hence my enquiries perhaps I could get some hints to simplify my problem better.
 

Related to How to reduce higher order partial differential equations

1. How can I simplify a higher order partial differential equation?

The most common method for simplifying a higher order partial differential equation is by using the separation of variables technique. This involves separating the equation into two or more simpler equations, each containing only one variable. This can significantly reduce the complexity of the equation and make it easier to solve.

2. Are there any specific techniques for solving second order partial differential equations?

Yes, there are several techniques that are commonly used to solve second order partial differential equations. These include the method of characteristics, the Laplace transform method, and the method of finite differences. Each of these techniques has its own advantages and may be more suitable for certain types of equations.

3. Can I use software to reduce higher order partial differential equations?

Yes, there are many mathematical software programs available that can help in reducing higher order partial differential equations. These programs use various algorithms and techniques to simplify and solve equations. However, it is important to have a good understanding of the underlying principles and limitations of these programs to use them effectively.

4. Is there a general strategy for reducing higher order partial differential equations?

Yes, there are some general strategies that can be used to reduce higher order partial differential equations. These include using symmetry properties of the equation, simplifying by applying certain transformations, and using known solutions or special functions to reduce the equation. However, the most effective strategy may vary depending on the specific equation and its properties.

5. Are there any real-world applications for reducing higher order partial differential equations?

Yes, reducing higher order partial differential equations is an essential step in many real-world applications, particularly in fields such as physics, engineering, and economics. These equations are used to model complex systems and phenomena, and simplifying them is crucial for understanding and predicting their behavior. Some examples of real-world applications include fluid dynamics, heat transfer, and quantum mechanics.

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