Differentiability of a function of two variables

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Discussion Overview

The discussion centers on the concept of differentiability for functions of two variables, exploring definitions, conditions for differentiability, and the relationship between differentiability and the continuity of partial derivatives. Participants engage with both theoretical aspects and practical implications, including examples from single-variable calculus.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Homework-related

Main Points Raised

  • Some participants question how a function can be differentiable if its partial derivatives are not continuous, citing examples from single-variable calculus.
  • One participant provides an example of a differentiable function in one dimension, ##f(t) = t^2 \sin(1/t)##, which has a derivative that is not continuous, suggesting similar cases may exist in higher dimensions.
  • Another participant seeks clarification on the basic conditions for differentiability in functions of two variables, prompting a discussion on definitions.
  • A participant explains that differentiability for a function of two variables involves approximating the function with a linear function, represented by a dot product with the gradient vector.
  • There is a discussion about the notation used in differentiation, emphasizing the importance of specifying the point at which the derivative is evaluated.
  • Some participants express uncertainty about how to articulate necessary and sufficient conditions for differentiability in simpler terms.
  • One participant expresses gratitude for the discussion and requests recommendations for books on theory, visualization, and problem-solving in calculus.

Areas of Agreement / Disagreement

Participants generally agree on the importance of understanding differentiability and its definitions, but there is no consensus on the specific conditions required for differentiability in functions of multiple variables. The discussion remains unresolved regarding how to express these conditions clearly.

Contextual Notes

Limitations include the lack of consensus on necessary and sufficient conditions for differentiability and the dependence on various interpretations of differentiation. Some participants note that different notations can obscure the underlying concepts.

Who May Find This Useful

This discussion may be useful for students studying multivariable calculus, educators seeking to clarify concepts of differentiability, and anyone interested in the theoretical foundations of calculus.

Jazzyrohan
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I have been studying multivariable calculus but I can't quite think visually how a function will be differentiable at a point.

How can a function be differentiable if its partial derivatives are not continuous?
 
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This can even fail in the 1 dimensional case.

Consider ##f(t) = t^2 \sin(1/t)## when ##t \neq 0## and ##f(0) =0##. This function is differentiable on ##\mathbb{R}## but its derivative isn't continuous.

Why would the result hold in the higher derivative case? (Similar counterexamples are possible)
 
Got it but directing to my first doubt how can differentiability be defined for a function of two variables,like,what is the basic condition for such a function to be differentiable?
 
For a real-valued function of one real variable, the differentiability means that the difference ##f(x+\Delta x) - f(x)## can be arbitrarily well approximated by a differential ##f'(x)\Delta x##, and the error of this approximation decreases as fast as ##(\Delta x)^2## when the ##\Delta x## is approaching zero. The real number ##f'(x)## is the derivative.

For a real-valued function of two variables, the equivalent definition is that the difference ##f(\mathbf{x}+\mathbf{\Delta x}) - f(\mathbf{x})## can be similarly approximated with a dot product ##\mathbf{f'(x)}\cdot\mathbf{\Delta x}##. Here the derivative ##\mathbf{f'(x)}## is now a two-component vector and it is the same as the gradient of the function ##f(\mathbf{x})##.

If the function takes two arguments and returns a two-component vector, the derivative ##\mathbf{f'(x)}## is a ##2\times 2## matrix and the differential is ##\mathbf{f'(x)}\mathbf{\Delta x}##, where there's a matrix-vector multiplication instead of a dot product.
 
Jazzyrohan said:
Got it but directing to my first doubt how can differentiability be defined for a function of two variables,like,what is the basic condition for such a function to be differentiable?
Maybe the beginning of https://www.physicsforums.com/insights/the-pantheon-of-derivatives-i/ can help you here. As @hilbert2 has said: differentiability is only the possibility to approximate a function locally by a linear function. The question, whether these many local events result in a continuous dependency of the location is a completely different one. The most common mistake comes from the notation: ##f\,'(x)##. It is wrong. It should better be ##f\,'(a)##, since this is what differentiation does: it gives a slope at a certain point. Differentiability now means, that this can be done at all points ##x=a##, such that we get a new function ##a \longmapsto f\,'(a)## which people write ##x \longmapsto f\,'(x)## and since people are lazy, abbreviate it by ##f\,'(x)##. The result is, that the dependency of the location, at which ##x \longmapsto f(x)## has been approximated by a linear function via the calculation ##\left.\dfrac{d}{dx}\right|_{x=a}f(x)## is completely lost.

So what differentiablity means is that those linear approximations exist, at a point or everywhere.
Now whether this differentiabilty depends continuously or differentiable from said location is another step.
 
Yes, I should have emphasized that the point ##x## where the derivative is evaluated is kept constant and only the ##\Delta x## is varied.
 
Jazzyrohan said:
,what is the basic condition for such a function to be differentiable?

Are you asking for necessary and sufficient conditions for a function of several variables to be differentiable? As other's have indicated, those conditions are that it satisfies the definition of being differentiable. That's a trivial answer, but I don't know a way to express such conditions in terms of simpler concepts.
 
hilbert2 said:
Yes, I should have emphasized that the point ##x## where the derivative is evaluated is kept constant and only the ##\Delta x## is varied.
I didn't want to criticize you. My post has been meant as a general reminder, because there are so many different ways to regard a differentiation, and that short notations often disguise the individual view. I once listed a few views of it and found ##10##: first page here https://www.physicsforums.com/insights/journey-manifold-su2mathbbc-part/ and the word "solpe" didn't even occur in the list. It was fun to see how a simple tangent can have so many roles.
 
I was confused about a few things and I think I get it now.Heartiest thanks to all of you .I really do appreciate your help.
Can you also tell me some books containing good theory or visualization and a few books for problem solving?I am currently in first year of college.
 

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