Advanced partial differentiation

In summary, the notation for partial differentiation for two functions F and G is Fx and Gx respectively. The given expressions are (Fx2 + Fy2)x = ? and (FxGx + FyGy)y = ?. Using the basic rules of differentiation, the first expression can be broken into two separate derivatives and the second expression can be calculated as (F_x+G_x + F_yG_y)_y = (F_xG_y)_y+ (F_xG_y)_y = F_{xx}G_y+ F_xG_{xy}+ F_{xy}G_y+ F_xG_{yy}.
  • #1
isa.b
3
0

Homework Statement



Given two functions F and G, I will use the following notation to indicate partial differentiation:
Fx means dF/dx
Gz means dG/dz
(for example)

I would like to develop the following two expressions. I don't want them grouped into brackets as they're now, but I have to develop them into single terms using the rules of partial differentiation.

Homework Equations



(Fx2 + Fy2)x = ?

(FxGx + FyGy)y = ?


The Attempt at a Solution



Your help is very much appreciated, thanks in advance!
 
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  • #2
What have you done so far? What would you do if they were ordinary derivatives for example?

(f'^2+g'^2)'=?
 
  • #3
hunt_mat said:
What have you done so far? What would you do if they were ordinary derivatives for example?

(f'^2+g'^2)'=?


I would break them into two separate derivatives
(f'^2)' and same for g

then 2f'

but I wonder what happens with a different axis such as (Fy^2)x
even worse with the products (the second case)

unfortunately I don't have much theoretical knowledge on partial differentiation (it's been many years ago...)
 
  • #4
There is nothing at all advanced about those, and no "theoretical knowledge" is need. You just use the basic rules for differentiation.

[tex](F_x+G_x + F_yG_y)_y = (F_xG_y)_y+ (F_xG_y)_y[/tex]
[tex]= F_{xx}G_y+ F_xG_{xy}+ F_{xy}G_y+ F_xG_{yy}[/tex]
 
  • #5
HallsofIvy said:
There is nothing at all advanced about those, and no "theoretical knowledge" is need. You just use the basic rules for differentiation.

[tex](F_x+G_x + F_yG_y)_y = (F_xG_y)_y+ (F_xG_y)_y[/tex]
[tex]= F_{xx}G_y+ F_xG_{xy}+ F_{xy}G_y+ F_xG_{yy}[/tex]


Thanks for your help HallsofIvy.
I'm not a mathematician, so I find it quite difficult, please understand.

The expression you worked out is for my 2nd case right? (I guess you just did a couple of typos, but that's why I'm not sure).
With your example I think I should be able to work out also the 1st case, but do you mind to show me that too? I'd like to check if I actually can do it

Thanks again!
 

FAQ: Advanced partial differentiation

What is advanced partial differentiation?

Advanced partial differentiation is a mathematical concept that involves finding the rate of change of a function with respect to multiple variables. It is an extension of basic or ordinary differentiation, where the function only has one variable.

What is the purpose of advanced partial differentiation?

The purpose of advanced partial differentiation is to calculate the sensitivity of a multi-variable function to changes in each of its variables. This is useful in various fields such as physics, economics, and engineering to understand how a system will respond to changes in its inputs.

How is advanced partial differentiation different from regular differentiation?

Regular differentiation only considers one variable, while advanced partial differentiation takes into account multiple variables. This means that the partial derivative of a function with respect to one variable will hold all other variables constant.

What are some applications of advanced partial differentiation?

Advanced partial differentiation is used in many fields, such as optimization, economics, physics, and engineering. In economics, it is used to analyze how changes in one variable affect the overall outcome of a system. In physics, it is used to calculate the rate of change of a multi-variable function, such as velocity or acceleration. In engineering, it is used to design and optimize systems by understanding how changes in variables will affect the performance of the system.

How can I learn more about advanced partial differentiation?

There are many online resources and textbooks available that cover advanced partial differentiation. It is important to have a strong foundation in basic calculus before delving into this topic. Additionally, practicing with various problems and examples can help improve understanding and application of this concept.

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