How Does Homogeneity Degree Affect Function Derivatives?

In summary: In the conversation, it is shown that the equation hold for all values of t, x, and y, and therefore it is an identity. In summary, the conversation discusses the proof that if a function F is homogeneous of degree n, then x*F_x + y*F_y = n*F(x,y), where F_x and F_y are the partial derivatives with respect to x and y. This is proven by setting t = 1 in the equation F(tx,ty)=tnF(x,y) and showing that it holds true for all values of t, x, and y. This is known as an identity, which is an equation that is true for all values of its variables.
  • #1
TranscendArcu
285
0

Homework Statement


Let n be a positive integer. A function F is called honogeneous of degree n if it satisfies the equation F(tx,ty) = tnF(x,y) for all real t. Suppose f(x,y) has continuous second-order partial derivatives.

Show that if F is homogeneous of degree n, then

x*F_x + y*F_y = n*F(x,y), where F_x,F_y are the partial derivatives
with respect to x,y.

Homework Equations


The Attempt at a Solution


Suppose I let u=tx and v=ty. Then,

F_t = F_u * x + F_v * y,

which should then be equal to

n*t^(n-1) * F(x,y).

This, I think, almost looks like what I want to prove. Dividing by
t^(n-1) gives n*F(x,y) and (F_u * x + F_v * y)/(t^(n-1)), which I want
to rewrite as

x*F_x + y*F_y.

But I have no idea if/why this should be true. Am I thinking about this correctly, or have I done it the wrong way?
 
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  • #2
Try setting t = 1 in your answer.:smile:
 
  • #3
If t=1, then n*t^(n-1)*F(x,y) becomes n * F(x,y), which still equals

F_u * x + F_v * y,

which must clearly be equal to

F_x * x + F_y * y

if our premise is true. But I don't find this solution particularly convincing. Why should t have to equal 1? As in the definition, t can be equal to any real number.
 
  • #4
You are given F(tx,ty)=tnF(x,y). You differentiated both sides with respect to t and got:

xFx(tx,ty)+yFy(tx,ty)=ntn-1F(x,y)

This is an identity in t,x,and y. In particular it holds for t=1, which gives your result. What is left to explain?
 
  • #5
Tell me what an "identity" is, then maybe I'll understand better.
 
  • #6
TranscendArcu said:
Tell me what an "identity" is, then maybe I'll understand better.

An identity is an equation that is true for all values of its variables. For example:

(x-1)2= x2-2x+1

is an identity because it is a true statement no matter what value x has. This is different than an equation like this:

x2+x = 6

which is true only for some values of x.
 

FAQ: How Does Homogeneity Degree Affect Function Derivatives?

What is the definition of "Homogeneous of Degree N"?

Homogeneous of Degree N is a mathematical concept that describes a function or equation in which all terms have the same degree of homogeneity, meaning they have the same total degree of all variables involved.

How is the degree of homogeneity determined in a function or equation?

The degree of homogeneity is determined by adding up the exponents of all variables in each term of the function or equation. If all terms have the same total degree, the function is considered homogeneous of degree N.

What is the significance of a function being homogeneous of degree N?

Functions that are homogeneous of degree N have certain properties that make them useful in mathematical analysis. For example, they satisfy Euler's homogeneous function theorem and can be used to model real-world phenomena such as economies of scale.

Can a function be homogeneous of degree N if it has negative exponents?

Yes, a function can be homogeneous of degree N even if it has negative exponents. The degree of homogeneity is determined by the total degree of all variables, regardless of whether the exponents are positive or negative.

How is the concept of homogeneous of degree N used in practical applications?

Homogeneous of degree N functions are commonly used in economics, physics, and engineering to describe relationships between variables. They can also be used in optimization problems to find the most efficient solution. In real-world applications, homogeneous functions can help simplify complex relationships and make them easier to analyze.

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