Stuck on proof regarding partial derivatives

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SUMMARY

The discussion centers on proving that a function f: R²→R with first-order partial derivatives δf/δx = δf/δy = 0 for all (x,y) in R² is constant. The key approach involves demonstrating that the restriction of f to a line parallel to one of the coordinate axes is constant, leveraging the Mean Value Theorem (MVT) and the continuity of functions of one variable. The participants clarify that differentiability implies continuity along these lines, ultimately leading to the conclusion that f must be constant across the entire domain.

PREREQUISITES
  • Understanding of first-order partial derivatives
  • Familiarity with the Mean Value Theorem (MVT)
  • Knowledge of continuity and differentiability in calculus
  • Ability to analyze functions of multiple variables
NEXT STEPS
  • Study the implications of the Mean Value Theorem in multivariable calculus
  • Learn about the relationship between differentiability and continuity in functions of several variables
  • Explore examples of functions with first-order partial derivatives that are not continuous
  • Investigate proofs of the constancy of functions with zero derivatives in one variable
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Students and educators in calculus, mathematicians interested in multivariable analysis, and anyone seeking to understand the properties of functions with partial derivatives.

Yami
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Homework Statement


Suppose the function f:R^2→R has 1st order partial derivatives and that
δf(x,y)/δx = δf(x,y)/δy = 0 for all (x,y) in R^2.
Prove that f is constant; there exists c such that f(x,y) = c for all (x,y) in R.

There's a hint as well:
First show that the restriction of f:R^2→R to a line parallel to one of the coordinate axes is constant.

Homework Equations


The chapter defines partial derivatives in general:
Let O be open in R^n and i be an index with 1≤i≤n. A function f:O→R has a partial derivative with respect to its ith component at the point x in O provided that
lim_(t→0)(f(x + t*e_i) - f(x))/t exists.


The Attempt at a Solution


The chapter has no mention of integrals but I tried using integrals anyway since I have no idea what to do with the given hint.

0 =
y
∫δf(x,t)/δy dt +
0
x
∫δf(t,0)/δy dt
0
= f(x,y) - f(x,0) + f(x,0) - f(0,0)
= f(x,y) - f(0,0)

implying f(x,y) = f(0,0) for all (x,y).
But then I realized that the partial derivatives being 0 means their antiderivatives are constant, so that won't work out.
Now I'm looking at the hint again but, I'm really stumped on how to use it. The chapter mentions the Mean Value Theorem. I thought of trying that somehow, but it's not given that the function is continuous. Can anyone point me in the right direction?
 
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Set y = c, constant, and consider h(x) = f(x,c). Can you apply the MVT to that?
 
Well, another reason I'm having trouble with this problem is I'm having trouble believing it's true.
What if f(x,y) =
{2 if (x,y) = (0,0),
{3 if (x,y) ≠ (0,0).

Wouldn't the partial derivatives be 0 still? Again it's not given that the function is continuous. Do I have to assume it's continuous?
 
Yami said:
Well, another reason I'm having trouble with this problem is I'm having trouble believing it's true.
What if f(x,y) =
{2 if (x,y) = (0,0),
{3 if (x,y) ≠ (0,0).

Wouldn't the partial derivatives be 0 still? Again it's not given that the function is continuous. Do I have to assume it's continuous?

If the partial derivative with respect to x exists at (x,c) then the function of x given by f(x,c) must be continuous. Same for f(c,y). Assuming the derivative exists implies continuity.
 
Ah, yes. But this section in the book specifically states that
"For n > 1, a function f: R^n→R that has first order partial derivatives need not be continuous," and even provides an example:
f(x,y) =
{xy/(x^2+y^2) if (x,y) ≠ (0,0)
{0 if (x,y) = (0,0)

The partials at (0,0) are 0.

Okay, I'm going try this:
Suppose f is not continuous. Then f is not constant, since f being constant implies it's continuous. Then we are done?

Then with that assertion that f should be continuous I can use MVT. Yes?
 
LCKurtz said:
If the partial derivative with respect to x exists at (x,c) then the function of x given by f(x,c) must be continuous. Same for f(c,y). Assuming the derivative exists implies continuity.

Yami said:
Ah, yes. But this section in the book specifically states that
"For n > 1, a function f: R^n→R that has first order partial derivatives need not be continuous," and even provides an example:
f(x,y) =
{xy/(x^2+y^2) if (x,y) ≠ (0,0)
{0 if (x,y) = (0,0)

The partials at (0,0) are 0.

Okay, I'm going try this:
Suppose f is not continuous. Then f is not constant, since f being constant implies it's continuous. Then we are done?

Then with that assertion that f should be continuous I can use MVT. Yes?

But I didn't say the function f(x,y) was continuous as a function of two variables. What you do have is that as a function of one variable with the other held constant it is continuous. And its derivative is given to exist and is 0.
 
Oh, I think I see now. For a function of one variable, differentiability implies continuity. So that's where the hint fits in? Use the line parallel to an axis to equate it to a function with an interval domain to imply continuity?

So I can do something like this:
I = {(x,c) | c = some constant}, the line.
g:I→R ; g(x) = f(x,c). Since g is differentiable on I it is continuous?
 
Yami said:
Oh, I think I see now. For a function of one variable, differentiability implies continuity. So that's where the hint fits in? Use the line parallel to an axis to equate it to a function with an interval domain to imply continuity?

So I can do something like this:
I = {(x,c) | c = some constant}, the line.
g:I→R ; g(x) = f(x,c). Since g is differentiable on I it is continuous?

You have a function of one variable whose derivative is 0 and you are trying to show it is a constant. Perhaps if you show it is constant along the line where y = c that would get you started. Look in your calculus book to see how f'(x) identically 0 implies f(x) is a constant. I bet you will see a reference to the MVT.
 
And I might add that once you have f(x,y) is constant along lines (x,c) and (a,y) you need to show that f is the same constant everywhere.
 
  • #10
I think I've written out a satisfying proof. Thanks for your help.
 

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