Help with PDE (first partial derivatives)

In summary, the PDE given is a first-order linear partial differential equation, also known as an advection equation. To solve this PDE, the method of characteristics can be used by finding a set of curves along which the PDE reduces to an ordinary differential equation. For simpler g(x,y,z) functions, the method of separation of variables can be used, but for more complex functions, numerical methods may be required.
  • #1
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Homework Statement



I would like to know how to solve the PDE

[tex] \frac{\partial f}{\partial x}+\frac{\partial f}{\partial y}+\frac{\partial f}{\partial z}=g(x,y,z) [/tex]

* f is the unknown function * g(x,y,z) is a known and smooth function

Homework Equations



[tex] divf=g [/tex]

The Attempt at a Solution



- I have tried using 'Divergence theorem' but got no further info abut f.

- If g(x,y,z)= g(x)+g(y)+g(z) i can provide a solution othewise i have no
idea ..
 
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  • #2




Thank you for your question. The PDE you have presented is a first-order linear partial differential equation, also known as an advection equation. The general form of this equation is:

a(x,y,z) \frac{\partial f}{\partial x} + b(x,y,z) \frac{\partial f}{\partial y} + c(x,y,z) \frac{\partial f}{\partial z} = g(x,y,z)

where a(x,y,z), b(x,y,z), and c(x,y,z) are known functions and g(x,y,z) is a known and smooth function. In your case, a(x,y,z) = b(x,y,z) = c(x,y,z) = 1, and g(x,y,z) = g(x,y,z).

To solve this PDE, we can use the method of characteristics. This involves finding a set of curves, known as characteristics, along which the PDE reduces to an ordinary differential equation. The solution to this ODE can then be used to find the solution to the original PDE.

To find the characteristics, we can set up the following system of ODEs:

\frac{dx}{dt} = a(x,y,z), \frac{dy}{dt} = b(x,y,z), \frac{dz}{dt} = c(x,y,z)

Solving this system of ODEs will give us the equations of the characteristics:

x = x(t), y = y(t), z = z(t)

Now, we can substitute these equations into the original PDE to obtain:

\frac{d}{dt} f(x(t), y(t), z(t)) = g(x(t), y(t), z(t))

This is an ODE that can be solved using standard techniques, such as separation of variables or integrating factors. Once we have the solution, we can substitute back into the equations of the characteristics to obtain the solution to the original PDE.

In the case where g(x,y,z) = g(x) + g(y) + g(z), we can use the method of separation of variables to solve the ODE and obtain a solution for f(x,y,z). However, for more complicated g(x,y,z) functions, we may need to use numerical methods to obtain a solution.

I hope this helps to answer your question. If you have any further questions, please do not hesitate to ask. Good luck with your studies
 

1. What is a partial derivative?

A partial derivative is a mathematical concept used to determine the rate of change of a function with respect to one of its variables, while holding all other variables constant.

2. Why are partial derivatives important?

Partial derivatives are important in many fields of science and engineering, as they allow us to analyze how a system or process changes when one variable is changed while others are held constant. They are also used in optimization problems and in the study of multivariable functions.

3. How do I find the partial derivative of a function?

To find the partial derivative of a function, you need to differentiate the function with respect to the variable of interest, treating all other variables as constants. This can be done using the standard rules of differentiation, such as the power rule or product rule.

4. What is the difference between a first and second partial derivative?

A first partial derivative is the rate of change of a function with respect to one variable, while holding all others constant. A second partial derivative, on the other hand, is the rate of change of the first partial derivative with respect to another variable. In other words, it measures how the rate of change changes.

5. How can I apply partial derivatives in real-world problems?

Partial derivatives can be applied in various real-world problems, such as in economics, physics, and engineering. For example, in economics, they can be used to analyze how changes in one variable affect the overall economy. In physics, they can be used to study the motion of objects in multiple dimensions. In engineering, they can be used to optimize processes and systems by finding the maximum or minimum values of a multivariable function.

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