Solve PDE: Find F to Satisfy \lambda F + (\frac{\partial F}{\partial y})^{2}=0

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In summary, the conversation discusses solving a PDE involving total and partial derivatives with respect to x, y, and z. The approach suggested is to use the rule of differentials to obtain a normal partial differential function in x, y, and z, with 3 time-dependent functions. The solution to this PDE would depend on whether it has an analytical or any other type of solution in PDEs.
  • #1
Karlisbad
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Solving this PDE :(

Hello i have a question about this..let be a function [tex] F(x(t),y(t),z(t),t) [/tex] then if we use the "total derivative" respect to t and partial derivatives..could we find an F so it satisfies:

[tex] \frac{d (\frac{\partial F}{\partial x})}{dt}+\lambda F + (\frac{\partial F}{\partial y})^{2}=0 [/tex] ??

how could you solve that ??.. my big problem is that this involves "total" and partial derivatives respect to x and y all mixed up.:yuck: :yuck:
 
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  • #2
Karlis,

Since the equation includes total derivative with respect to t, then x, y and z are functions of t as already included in the argument of F; X(t) ....

However, you still can solve it, but in terms of dx/dt, dy/dt, dz/dt ... etc. But, here, only function in dx/dt, dy/dt and dz/dt.

Try this:
d[T(r>,t)]/dt=dx/dt*p[T(r>,t)]/px+dy/dt*p[T(r>,t)]/py+dz/dt*p[T(r>,t)]/pz.
where p/px is the partial derivative.
This can be done by the rule of differentials.
Here, T(r>,t)=pF/px

You will get a normal partial differential function in x, y and z with 3 time-dependent functions (considered to be constants in the equation). Solve it, if this form has an analytical solution (or any other sort) in PDEs.


Engineer\ Amr Morsi.
 
  • #3




Hello, solving a PDE involves finding a function that satisfies the given equation. In this case, the PDE is:

\lambda F + \left(\frac{\partial F}{\partial y}\right)^2 = 0

To solve this, we can use the method of separation of variables. We assume that the function F can be expressed as a product of two functions, one depending only on x and the other depending only on y:

F(x,y) = X(x)Y(y)

We then substitute this into the PDE and rearrange:

\lambda X(x)Y(y) + \left(\frac{dY(y)}{dy}\right)^2 = 0

We can now separate the variables, one on each side of the equation:

\lambda X(x) + \left(\frac{dY(y)}{dy}\right)^2 = 0

\frac{dY(y)}{dy} = \pm \sqrt{-\lambda X(x)}

Integrating both sides with respect to y, we get:

Y(y) = C_1 \pm \sqrt{-\lambda X(x)}y

where C_1 is an arbitrary constant. Now, we can substitute this back into our original equation and solve for X(x):

\lambda X(x) + \left(\frac{dY(y)}{dy}\right)^2 = 0

\lambda X(x) + \lambda C_1^2 y^2 = 0

X(x) = -\frac{C_1^2 y^2}{\lambda}

Combining our solutions for X(x) and Y(y), we get:

F(x,y) = -\frac{C_1^2 y^2}{\lambda} \pm C_1 \sqrt{-\lambda X(x)} y

which is the general solution to our PDE. Depending on the boundary conditions of the problem, we can determine the value of C_1 and thus obtain a specific solution for F(x,y). I hope this helps!
 

1. What is a PDE?

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

2. What does it mean to "solve" a PDE?

To solve a PDE means to find a function or set of functions that satisfies the equation. This involves finding the general solution, which is a formula that includes all possible solutions, and then using initial or boundary conditions to find a specific solution.

3. What is \lambda in the given PDE?

\lambda is a constant known as the eigenvalue. It is a parameter that determines the behavior of the solution to the PDE and is typically found through the use of boundary conditions.

4. How do we find the general solution to the given PDE?

The general solution to a PDE can be found by using various techniques such as separation of variables, substitution methods, and integral transforms. The specific method used will depend on the type of PDE and the boundary conditions given.

5. What is the importance of solving PDEs in science?

PDEs are incredibly important in science as they allow us to model and understand complex physical phenomena. They are used in many fields such as fluid dynamics, heat transfer, quantum mechanics, and many more. Solving PDEs allows us to make predictions and gain insights into these systems, leading to advancements in technology and other areas.

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