Differentiability and differential of a funtion

In summary: If so, could you please share?Distance in the sense that you can subtract the two functions and see how the parabola differs from the line.
  • #1
Bassalisk
947
2
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
 
Physics news on Phys.org
  • #2
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...
 
  • #3
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.
 
  • #4
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.
 
  • #5
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?
 

FAQ: Differentiability and differential of a funtion

1. What is the definition of differentiability?

Differentiability is a mathematical concept that describes the smoothness of a function at a certain point. A function is differentiable at a point if it has a well-defined derivative at that point, meaning that the slope of the tangent line at that point can be determined. In simpler terms, a function is differentiable if it has no sharp corners or breaks at that point.

2. How is differentiability related to continuity?

A function is said to be continuous at a point if the limit of the function at that point exists and is equal to the value of the function at that point. Differentiability is a stronger condition than continuity, meaning that if a function is differentiable at a point, it must also be continuous at that point. However, a function can be continuous at a point without being differentiable at that point.

3. What is the difference between differentiability and smoothness?

Smoothness refers to the overall appearance of a function, while differentiability refers to the behavior of a function at a specific point. A function can be smooth without being differentiable at certain points, such as at sharp corners or breaks. However, a differentiable function is always smooth.

4. How is the derivative of a function related to its differential?

The derivative of a function is the rate at which the function changes at a certain point. The differential of a function is the actual change in the function's value at that point. The derivative and differential are related by the equation dy = f'(x)dx, where dy represents the differential, f'(x) represents the derivative, and dx represents an infinitesimal change in the input of the function.

5. What is the chain rule in differentiability?

The chain rule is a rule in calculus that describes how to take the derivative of a composite function. It states that the derivative of a composite function f(g(x)) is equal to the product of the derivative of the outer function f'(g(x)) and the derivative of the inner function g'(x). The chain rule is an important tool in differentiability, as it allows us to find the derivative of more complex functions by breaking them down into simpler functions.

Similar threads

Replies
3
Views
1K
Replies
1
Views
2K
Replies
3
Views
2K
Replies
9
Views
2K
Replies
7
Views
957
Replies
7
Views
4K
Replies
49
Views
4K
Back
Top