Multivariable calculus proof involving the partial derivatives of an expression

  • #1
KungPeng Zhou
22
7
Homework Statement
Supposed f is a function of several variables that satisfies the equation f(tx, ty, tz) =t^{n}f(x, y, z),(t as any number).
Prove:
##xf_{x}+yf_{y}+zf_{z}=nf(x, y, z) ##
Relevant Equations
Partial derivative related formulas
For the first equation:
##f(tx, ty, tz)=f(u, v, w) ##, ##u=tx, v=ty, w=tz##,##k=f(u, v, w) ####
t^{n}f_{x}=\frac{\partial f}{\partial u} \cdot \frac{\partial u}{\partial x}##
As the same calculation
##xf_{x}+yf_{y}+zf_{z}=[\frac{\partial f}{\partial x} + \frac{\partial f}{\partial y} +\frac{\partial f}{\partial z}] t^{1-n}##
But I can't continue with it.
 
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  • #2
KungPeng Zhou said:
Homework Statement: Supposed f is a function of several variables that satisfies the equation f(tx, ty, tz) =t^{n}f(x, y, z),(t as any number).
Prove:
##xf_{x}+yf_{y}+zf_{z}=nf(x, y, z) ##
Relevant Equations: Partial derivative related formulas

For the first equation:
##f(tx, ty, tz)=f(u, v, w) ##, ##u=tx, v=ty, w=tz##,##k=f(u, v, w) ####
t^{n}f_{x}=\frac{\partial f}{\partial u} \cdot \frac{\partial u}{\partial x}##
As the same calculation
##xf_{x}+yf_{y}+zf_{z}=[\frac{\partial f}{\partial x} + \frac{\partial f}{\partial y} +\frac{\partial f}{\partial z}] t^{1-n}##
But I can't continue with it.
Introducing the variables ##u, v, w## looks unnecessary to me. Why not partially differentiate with respect to ##t##?
 
  • #3
KungPeng Zhou said:
Prove:
##xf_{x}+yf_{y}+zf_{z}=nf(x, y, z) ##
Note that this equation is somewhat sloppy. The arguments of the function ##f## are given on the right-hand side, but the arguments of the functions ##f_x, f_y## and ##f_z## on the left-hand side are not. More precise and logical would be:$$xf_{x}(x, y, x)+yf_{y}(x, y, z)+zf_{z}(x, y, z)=nf(x, y, z)$$Or, in shorthand:$$xf_{x}+yf_{y}+zf_{z}=nf$$Where the arguments ##(x, y, z)## are understood by default.
 
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  • #4
Note that ##n\cdot f(x,y,z) = \left. \dfrac{d}{dt}\right|_{t=1} \left(t^n f(x,y,z)\right)=\left. \dfrac{d}{dt}\right|_{t=1}f(tx,ty,tz).##
 
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  • #5
PeroK said:
Note that this equation is somewhat sloppy. The arguments of the function ##f## are given on the right-hand side, but the arguments of the functions ##f_x, f_y## and ##f_z## on the left-hand side are not. More precise and logical would be:$$xf_{x}(x, y, x)+yf_{y}(x, y, z)+zf_{z}(x, y, z)=nf(x, y, z)$$Or, in shorthand:$$xf_{x}+yf_{y}+zf_{z}=nf$$Where the arguments ##(x, y, z)## are understood by default.
Ok, I have solved it. I need to defferential f(tx, ty, tz) with respect to t
 

What is multivariable calculus?

Multivariable calculus is a branch of mathematics that deals with the study of functions of several variables. It involves the use of partial derivatives, multiple integrals, and vector calculus to analyze and solve problems in fields such as physics, engineering, and economics.

What is a partial derivative?

A partial derivative is a mathematical concept that measures the instantaneous rate of change of a function with respect to one of its variables while holding all other variables constant. It is denoted by ∂ (pronounced "partial") and is commonly used in multivariable calculus to study the behavior of functions with multiple variables.

Why are partial derivatives important in multivariable calculus?

Partial derivatives are important in multivariable calculus because they allow us to analyze how a function changes in different directions. By taking partial derivatives, we can determine the slope of a function in a specific direction and use this information to solve optimization problems and model real-world phenomena.

What is the process for proving an expression involving partial derivatives?

The process for proving an expression involving partial derivatives typically involves using the chain rule and other derivative rules to simplify the expression and then using algebraic manipulation and substitution to show that the expression is equal to the desired result. It may also involve using properties of partial derivatives, such as the product rule and quotient rule.

Can you provide an example of a multivariable calculus proof involving partial derivatives?

Sure, here is an example of a proof involving the partial derivatives of a function f(x,y) = x^2 + y^2:

First, we take the partial derivative of f with respect to x: ∂f/∂x = 2x.

Next, we take the partial derivative of f with respect to y: ∂f/∂y = 2y.

Now, we can use these partial derivatives to prove that the expression 2x + 2y is equal to the partial derivative of f with respect to x + y.

We can rewrite 2x + 2y as 2(x + y) and use the chain rule to show that this is equal to ∂f/∂x + ∂f/∂y.

Substituting in the values we found earlier for the partial derivatives of f, we get 2x + 2y = 2x + 2y, which proves that the expression is equal to the partial derivative of f with respect to x + y.

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