Can Symmetry Simplify Partial Differentiation for Multivariable Functions?

In summary, given f=ln(x^3+y^3+z^3-3xyz), the problem is to prove df/dx+df/dy+df/dz=3/(x+y+z) and find (d^2/dx^2+...similar two more terms)f=?, (d^2/dx^2+...)^2f=? The first part of the problem can be solved by writing e^f=x^3+y^3+z^3-3xyz and differentiating. However, the next parts are becoming too large to solve. One way to speed up the process is to utilize the symmetry between x, y, and z, where the derivative for one variable can be easily derived by swapping
  • #1
Kolahal Bhattacharya
135
1
given f=ln(x^3+y^3+z^3-3xyz)To prove df/dx+df/dy+df/dz=3/(x+y+z)
also finding (d^2/dx^2+...similar two more terms)f=? d => del
& (d^2/dx^2+...)^2f=?
I have done the first part of the problem.The trick is to write e^f=x^3+y^3+z^3-3xyz and then to differentiate.
However the next parts are coming hopelessly huge, by the same token.

Please help.

Kolahal Bhattacharya
 
Physics news on Phys.org
  • #2
One thing that will speed it up a little is the symmetry between x, y, and z. Given the derivative for one, you can easily write down the derivative for the others just by swapping variables.
 

1. What is partial differentiation?

Partial differentiation is a mathematical technique used to find the rate of change of a function with respect to one of its independent variables while holding all other variables constant. It is often used in multivariable calculus to analyze how a function changes in different directions.

2. Why is partial differentiation important?

Partial differentiation allows us to better understand how a function changes in response to changes in its variables. It is crucial in many fields of science, such as physics, engineering, and economics, where functions often have multiple independent variables.

3. How is partial differentiation different from ordinary differentiation?

Ordinary differentiation involves finding the rate of change of a function with respect to a single variable. Partial differentiation, on the other hand, involves finding the rate of change of a function with respect to one variable while holding all other variables constant.

4. What are the basic rules for partial differentiation?

The basic rules for partial differentiation are similar to those for ordinary differentiation. The power rule, product rule, quotient rule, and chain rule all apply to partial derivatives. Additionally, there are rules specific to partial differentiation, such as the constant rule and the sum rule.

5. How is partial differentiation used in real-world applications?

Partial differentiation is used in a variety of real-world applications, such as optimization problems in economics and engineering, determining rates of reaction in chemistry, and analyzing the behavior of complex systems in physics. It is also used in machine learning and data analysis to model and predict relationships between variables.

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