Differentiability and differential of a funtion

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Discussion Overview

The discussion revolves around the concept of differentiability in the context of a mathematical function, specifically focusing on the role and interpretation of the function omega (ω) in the expression related to the derivative. Participants explore the meaning of ω, its significance in understanding differentiability, and how it relates to the behavior of functions near a point.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the meaning of ω in the expression f(x) - f(x0) = f'(x0)(x - x0) + ω(x)(x - x0), questioning its representation and significance.
  • Another participant suggests that ω can be viewed as an error function, indicating the distance between the function and its tangent line at a point x0, and emphasizes that it is more of a technical tool than a central concept.
  • A different viewpoint describes ω as what remains after the first-order analysis of the function, suggesting that it helps visualize the difference between the function and its tangent line, particularly near a specific point.
  • One participant asserts that understanding ω is not crucial for grasping derivatives but becomes important when analyzing the behavior of the function in relation to its tangent line.
  • Another participant questions the implications of ω being non-zero, suggesting that if ω is not zero, the function may not be differentiable, and seeks to understand the power of ω in defining differentiability.
  • There is a request for clarification on how to visualize the distance between the function and the tangent line, indicating a desire for a more concrete representation of the concept.

Areas of Agreement / Disagreement

Participants express differing views on the importance and interpretation of ω, with no consensus reached on its role in defining differentiability or its significance in understanding the behavior of functions.

Contextual Notes

Some participants note that ω converges to zero at x = x0, but the implications of this convergence and its relationship to differentiability remain a point of contention.

Bassalisk
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For months I have been staring into this expression, and I cannot visualize what the hell omega represents...

f(x)-f(x0)=f'(x0)(x-x0)+[tex]\omega[/tex](x)*(x-x0)

Where [tex]\omega[/tex](x)(=[tex]\omega[/tex](x;[tex]\Delta[/tex]x)) is a continuous function in point x0 and equals zero in that point

or lim, as x approaches x0 of omega(x)= omega(x0)=0

I do not completely understand this statement above. What does it represent? How do you understand this?

Thanks
 
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Omega is the error function, in this sense: if you draw a function, then you can draw it's tangent line at a certain point x0. The distance between the tangent line and the function is given by [tex]\omega(x)(x-x_0)[/tex].

I don't think there is another way to visualize it. The omega isn't really all that important, it's more of a technical tool...
 
One way to think of it is that [itex]\omega[/itex] is what's leftover after "taking off" everything you know about f from the first-order analysis.


You know that, for example, the parabola y=x2 has a tangent line y=2x-1 at the point (1,1). Near that point, the parabola and the tangent line look similar. Have you ever then subtracted the two functions to better visualize how the parabola differs from the line? (if not, you should try it from time to time)

Dividing off the extra factor of (x-1) is just taking another step further.


If you're trying to understand the derivative of a function, then understanding [itex]\omega[/itex] isn't really important beyond the fact it converges to zero at x=x0.

On the other hand, if you are trying to analyze f(x) by saying it behaves similarly to its tangent line, then [itex]\omega(x)[/itex] becomes important in the sense that it's the part you have to show doesn't contribute to whatever phenomenon you're interested in.
 
Hurkyl said:
One way to think of it is that [itex]\omega[/itex] is what's leftover after "taking off" everything you know about f from the first-order analysis.


You know that, for example, the parabola y=x2 has a tangent line y=2x-1 at the point (1,1). Near that point, the parabola and the tangent line look similar. Have you ever then subtracted the two functions to better visualize how the parabola differs from the line? (if not, you should try it from time to time)

Dividing off the extra factor of (x-1) is just taking another step further.


If you're trying to understand the derivative of a function, then understanding [itex]\omega[/itex] isn't really important beyond the fact it converges to zero at x=x0.

On the other hand, if you are trying to analyze f(x) by saying it behaves similarly to its tangent line, then [itex]\omega(x)[/itex] becomes important in the sense that it's the part you have to show doesn't contribute to whatever phenomenon you're interested in.


I understand derivatives quiet well. Differential of the function too. I understand what's the purpose of both. But this, what I wrote, is what defines function's differentiability. If omega is not 0, then the function is not differentiable, am I right? I am just trying to understand how come this omega is so powerful and what it does to a function, that defines its differentiability.
 
micromass said:
Omega is the error function, in this sense: if you draw a function, then you can draw it's tangent line at a certain point x0. The distance between the tangent line and the function is given by [tex]\omega(x)(x-x_0)[/tex].

I don't think there is another way to visualize it. The omega isn't really all that important, it's more of a technical tool...

Distance in what way? Is a picture possible?
 

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