Predicting the form of solution of PDE

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In summary, the solution of the PDE u(x,y)(∂u(x,y)/∂x)+v(x,y)(∂u(x,y)/∂y)=-dp(x)/dx+(1/a)(∂²u(x,y)/∂y²) can be predicted to be of the functional form u=f(x,y,dp(x)/dx,a) by using mathematical manipulation and reasoning. The variables x, y, and a will be parametrized in the solution, and the forcing term (pressure gradient) will also play a role. The Buckingham Pi theorem may also be used to determine the independent variables in the solution.
  • #1
gikiian
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Predicting the functional form of solution of PDE

How do you conclude that the solution of the PDE

[itex]u(x,y)\frac{∂u(x,y)}{∂x}+\upsilon(x,y)\frac{∂u(x,y)}{∂y}=-\frac{dp(x)}{dx}+\frac{1}{a}\frac{∂^{2}u(x,y)}{dy^{2}}[/itex]

is of the functional form

[itex]u=f(x,y,\frac{dp(x)}{dx},a)[/itex] ?


I know this seems obvious, but I think it might not be necessary. How can you predict this by using reason, mathematical manipulation, etc?


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Update:
I get the fact that [itex]u[/itex] will be a function of [itex]x, y,[/itex] and [itex]a[/itex], but what about d/dx p(x)? Won't it change to something like [itex]p(x)+C[/itex] leaving [itex]u[/itex] to be no longer a function of d/dx p(x)?
 
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  • #2
It's sort of obvious really. It has derivative in both x and y, so they must be part of the solution. If a is constant then you will know that will paramatrise the solution and it will be dependent on the forcing term (the pressure gradient)
 
  • #3
hunt_mat said:
It's sort of obvious really. It has derivative in both x and y, so they must be part of the solution. If a is constant then you will know that will paramatrise the solution and it will be dependent on the forcing term (the pressure gradient)

But won't the term [itex]\frac{d}{dx}p(x)[/itex] change to something like [itex]p(x)+constant[/itex] ?
 
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  • #4
You're not integrating anything, dp/dx will be your input function.
 
  • #5
hunt_mat said:
You're not integrating anything, dp/dx will be your input function.

You will have to integrate it in order to obtain a solution :)
 
  • #6
Substitute the functional form into the PDE, effectively replacing u(x,y) and its gradients. If the functional form is depending on P(x,y) directly, then P(x,y) should also appear in the PDE.
 
  • #7
I'm quite sure that this is connected to the Buckingham Pi theorem as well, which would give you a mathematical way to get all the independent variables in a formal way.
 
  • #8
The pi theorem is okay if you know the general functional form but not for general problems
 

1. What is a PDE?

A PDE, or partial differential equation, is a mathematical equation that involves multiple variables and their partial derivatives. It is commonly used to describe physical phenomena in fields such as physics, engineering, and economics.

2. How is the form of a solution to a PDE predicted?

The form of a solution to a PDE is typically predicted through the process of solving the equation using mathematical techniques such as separation of variables, variation of parameters, or Fourier transforms. These methods allow for the determination of the general form of the solution.

3. Are there any general types of solutions to PDEs?

Yes, there are several general types of solutions to PDEs, including explicit, implicit, and singular solutions. Explicit solutions are those that can be written in terms of the independent variables, while implicit solutions involve an equation that relates the dependent and independent variables. Singular solutions occur when the solution is not well-defined at certain points in the domain.

4. Can the form of a solution to a PDE change over time?

Yes, the form of a solution to a PDE can change over time. This is known as the evolution of the solution, and it is often seen in PDEs that model dynamic physical processes, such as heat conduction or fluid flow.

5. How accurate are predictions of the form of a solution to a PDE?

The accuracy of predictions of the form of a solution to a PDE depends on several factors, including the complexity of the equation and the precision of the mathematical techniques used. In general, the more accurate the initial conditions and boundary conditions are known, the more accurate the prediction of the solution will be.

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