Continuity of partial derivatives in a ball implies differentiability

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SUMMARY

The discussion centers on proving the differentiability of a function \( f: \mathbb{R}^2 \to \mathbb{R} \) at a point \( (a,b) \) given that the partial derivative \( \frac{\partial f}{\partial x} \) is continuous in an open ball around \( (a,b) \) and \( \frac{\partial f}{\partial y} \) exists at that point. The key conclusion is that by utilizing the definition of differentiability and the continuity of \( \frac{\partial f}{\partial x} \), one can show that the error term \( \epsilon(x,y) \) approaches zero as \( (x,y) \) approaches \( (0,0) \). This confirms that \( f \) is indeed differentiable at \( (a,b) \).

PREREQUISITES
  • Understanding of partial derivatives and their continuity
  • Familiarity with the definition of differentiability in multivariable calculus
  • Knowledge of limits in the context of functions of multiple variables
  • Basic proficiency in mathematical notation and functions
NEXT STEPS
  • Study the implications of continuity of partial derivatives on differentiability in multivariable calculus
  • Learn about the differentiability criteria for functions of several variables
  • Explore examples of functions that demonstrate the relationship between continuity and differentiability
  • Investigate the role of the error term \( \epsilon(x,y) \) in differentiability proofs
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Mathematics students, educators, and researchers interested in multivariable calculus, particularly those focusing on the properties of differentiable functions and their applications.

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Hi all, I'm looking at the following problem:
Suppose that f:\mathbb{R}^2\to\mathbb{R} is such that \frac{\partial{f}}{\partial{x}} is continuous in some open ball around (a,b) and \frac{\partial{f}}{\partial{y}} exists at (a,b): show f is differentiable at (a,b).

Now I know that if both partial derivatives are continuous in a ball around (a,b) it is differentiable, but I don't know how to deal with the case where we only have continuity of one partial derivative and existence of the other - could anyone help me with this?

I've thought about it for a good hour or so now and don't seem to be getting anywhere (I know I'm meant to post what I've got so far but I literally have nothing!) so the more help you can give me the better!

Many thanks :)
 
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Use the definition of differentiable.

A function of two variables, x and y, is "differentiable" at (a, b) if and only if there exist a function \epsilon(x,y) such that f(a+ x, b+ y)= f(a, b)+ x (\partial f/\partial x(a,b))+ y(\partial f/\partial y(a,b))+ \epsilon(x,y) and
\lim_{(x,y)\to (a,b)}\frac{\epsilon(x,y)}{\sqrt{x^2+ y^2}}= 0

Since both \partial f/\partial x(a,b) and \partial f/\partial y(a,b) exist, we can define \epsilon(x,y) as f(a+ x, b+ y)- f(a, b)+ x (\partial f/\partial x(a,b))+ y(\partial f/\partial y(a,b)).

Try to use the fact that \partial f/\partial x is continuous to show that goes to 0 as (x,y) goes to (0, 0).
 
HallsofIvy said:
Use the definition of differentiable.

A function of two variables, x and y, is "differentiable" at (a, b) if and only if there exist a function \epsilon(x,y) such that f(a+ x, b+ y)= f(a, b)+ x (\partial f/\partial x(a,b))+ y(\partial f/\partial y(a,b))+ \epsilon(x,y) and
\lim_{(x,y)\to (a,b)}\frac{\epsilon(x,y)}{\sqrt{x^2+ y^2}}= 0

Since both \partial f/\partial x(a,b) and \partial f/\partial y(a,b) exist, we can define \epsilon(x,y) as f(a+ x, b+ y)- f(a, b)+ x (\partial f/\partial x(a,b))+ y(\partial f/\partial y(a,b)).

Try to use the fact that \partial f/\partial x is continuous to show that goes to 0 as (x,y) goes to (0, 0).

Got it, thanks very much! :)
 
I'm impressed! Even with my hint, that was not a simple problem.
 

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