Partial Differential problem

In summary: Simplify the equation to obtain: e^{2u}\frac{\partial^{2}z}{\partial u^{2}} + e^{2v}\frac{\partial^{2}z}{\partial v^{2}} + e^{2u}\frac{\partial z}{\partial x} + e^{2v}\frac{\partial z}{\partial y} = \frac{\partial^{2}z}{\partial u^{2}} + \
  • #1
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If [itex]z = f(x,y)[/itex] and [itex]x = e^{u}, y =e^{v} [/itex] Prove:

[itex]x^{2}\frac{\partial^{2}z}{\partial x^{2}} + y^{2}\frac{\partial^{2}z}{\partial y^{2}} + x \frac{\partial z}{\partial x} + y \frac{\partial z}{\partial y} = \frac{\partial^{2}z}{\partial u^{2}} + \frac{\partial^{2}z}{\partial v^{2}} [/itex]

I used [itex] u = ln(x), v = ln(y) [/itex] and the following partial differential set ups:


[itex]
\frac{\partial z}{\partial x} = \frac{\partial f}{\partial u} \frac{\partial u}{\partial x}[/itex]
[itex]
\frac{\partial z}{\partial y} = \frac{\partial f}{\partial v}\frac{\partial v}{\partial y} [/itex]
[itex]
\frac{\partial z}{\partial u} = \frac{\partial f}{\partial x} \frac{\partial x}{\partial u}
[/itex]
[itex]
\frac{\partial z}{\partial u} = \frac{\partial f}{\partial y} \frac{\partial y}{\partial v}[/itex]

Then:

[itex]
\frac{\partial z}{\partial x} = \frac{\partial f}{\partial u} \frac{1}{x}[/itex]
[itex]
\frac{\partial z}{\partial y} = \frac{\partial f}{\partial v} \frac{1}{y}
[/itex]
[itex]
\frac{\partial f}{\partial u} = \frac{\partial z}{\partial u} e^{u}
[/itex]
[itex]
\frac{\partial f}{\partial v} = \frac{\partial z}{\partial v} e^{v}
[/itex]

For the second derivatives:

[itex]
\frac{\partial^{2} z}{\partial x^{2}} = \frac{\partial^{2} f}{\partial u^{2}} \frac{-1}{x^{2}}
[/itex]
[itex]

\frac{\partial^{2} z}{\partial x^{2}} = \frac{\partial^{2} f}{\partial v^{2}} \frac{-1}{y^{2}}
[/itex]
[itex]
\frac{\partial^{2} z}{\partial u^{2}} = \frac{\partial^{2} f}{\partial x^{2}} e^{u}
[/itex]
[itex]
\frac{\partial^{2} z}{\partial v^{2}} = \frac{\partial^{2} f}{\partial y^{2}} e^{v}
[/itex]

I cannot get these terms to equal the statement that is to be proved. Am I doing something wrong?

Thanks!
 
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  • #2




You are on the right track with your approach. However, there are a few mistakes in your calculations. Here is a step-by-step explanation of how to prove the given statement:

1. Start with the given equation: x^{2}\frac{\partial^{2}z}{\partial x^{2}} + y^{2}\frac{\partial^{2}z}{\partial y^{2}} + x \frac{\partial z}{\partial x} + y \frac{\partial z}{\partial y} = \frac{\partial^{2}z}{\partial u^{2}} + \frac{\partial^{2}z}{\partial v^{2}}

2. Use the given substitutions: x = e^{u}, y = e^{v}. This will give us: e^{2u}\frac{\partial^{2}z}{\partial u^{2}} + e^{2v}\frac{\partial^{2}z}{\partial v^{2}} + e^{u} \frac{\partial z}{\partial u} + e^{v} \frac{\partial z}{\partial v} = \frac{\partial^{2}z}{\partial u^{2}} + \frac{\partial^{2}z}{\partial v^{2}}

3. Use the chain rule to find the partial derivatives with respect to u and v:

\frac{\partial z}{\partial u} = \frac{\partial z}{\partial x} \frac{\partial x}{\partial u} + \frac{\partial z}{\partial y} \frac{\partial y}{\partial u} = e^{u}\frac{\partial z}{\partial x}

\frac{\partial z}{\partial v} = \frac{\partial z}{\partial x} \frac{\partial x}{\partial v} + \frac{\partial z}{\partial y} \frac{\partial y}{\partial v} = e^{v}\frac{\partial z}{\partial y}

4. Substitute these expressions into the equation from step 2: e^{2u}\frac{\partial^{2}z}{\partial u^{2}} + e^{2v}\frac{\partial^{2}z}{\partial v^{2}} + e^{u} \left(e^{u}\frac{\partial z}{\partial x}\right) + e^{
 

1. What is a partial differential problem?

A partial differential problem is a mathematical problem that involves finding the solution to a partial differential equation (PDE). PDEs are equations that describe the relationship between multiple variables and their partial derivatives. These types of problems are commonly used in physics, engineering, and other fields to model complex systems and phenomena.

2. What are some common methods for solving partial differential problems?

There are several methods for solving partial differential problems, including separation of variables, finite difference methods, finite element methods, and spectral methods. Each method has its own strengths and weaknesses, and the choice of method depends on the specific problem and the desired level of accuracy.

3. What types of boundary conditions are commonly used in solving partial differential problems?

Boundary conditions are used to define the behavior of the solution at the boundaries of a problem's domain. Some common types of boundary conditions for partial differential problems include Dirichlet boundary conditions, Neumann boundary conditions, and periodic boundary conditions. These conditions can be used to model a wide range of physical situations.

4. Can partial differential problems be solved analytically or numerically?

Partial differential problems can be solved both analytically and numerically. Analytical solutions involve finding an exact formula for the solution, which is only possible for certain types of PDEs. Numerical solutions involve approximating the solution using computational methods, and can be used for a wider range of problems.

5. How are partial differential problems used in real-world applications?

Partial differential problems are used in a variety of real-world applications, such as modeling heat transfer, fluid flow, and electromagnetic fields. They are also used in image and signal processing, financial modeling, and many other fields. Solving these types of problems allows scientists and engineers to better understand and predict the behavior of complex systems.

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