Multivariable calculus proof involving the partial derivatives of an expression

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Homework Help Overview

The discussion revolves around proving a relationship involving the partial derivatives of a multivariable function, specifically the equation \( xf_{x} + yf_{y} + zf_{z} = nf(x, y, z) \). The context is multivariable calculus, focusing on the behavior of functions under scaling transformations.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the use of variable substitutions and the implications of differentiating with respect to \( t \). There are questions about the necessity of introducing new variables and the clarity of the notation used for the function and its partial derivatives.

Discussion Status

Some participants have offered insights into the differentiation process and the notation, while others are exploring different approaches to the proof. There appears to be a productive exchange of ideas, though no consensus has been reached on the best method to proceed.

Contextual Notes

There are concerns about the clarity of the notation used for the function and its derivatives, particularly regarding the arguments of the functions involved. Additionally, the discussion includes the need to differentiate the function with respect to \( t \) as part of the proof process.

KungPeng Zhou
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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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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##?
 
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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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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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
 

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