Mean Value Theorem for Integrals: Does it Hold?

In summary: So, in summary, the Mean-value theorem for integrals does not hold for continuous functions that are not differentiable, as demonstrated by the counterexamples provided. The continuity of a function does not guarantee its differentiability or monotonicity, and the derivative of a function cannot be determined solely from the function itself.
  • #1
Karlisbad
131
0
Let be [tex] F(x)=\int dx f(x) [/tex] my question is if F(x) is continuous (but not differentiable ) does the Mean-value theorem for integrals hold?..

a<c<b and [tex] f(c)(b-a)=\int_{a}^{b} dx f(x) [/tex] ?... :rolleyes: :confused:
 
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  • #2
Have you even bothered to try to think up some examples to see that this cannot hold? Just take some easy discontinuous f and construct counter examples.
 
  • #3
Try thinking about functions that can't achieve every value possible between f(a) and f(b) (which is basically the requirement needed to ensure f(c) can take on the right value)
 
  • #4
How can a function be continuous and not differentiable? The definition of continuity hold that the function has limits such as any value of y in the interval [a,b] could be represented as the funciton of a point (be it rational or irrational). This being said, it also holds that there are intervals where the function is strictly monotonously increasing, decreasing or stale. This last point, proves us that there is no bad behaviour after a certain point when evaluating the limit that the derivative is. Anyway have you checked a good proof of the mean value theorem? If the function is continuous, it certainly has a maximum and a minimum on a closed interval. Say Max {f(x)} = M
and Min {f(x)} = m. If you we say the integral between a and b of the function is i, we have

m(b-a) < i < M(b-a)

Which needs no proof since it goes without saying. We then have,

m < i/(b-a) < M

By continuity of the function, i/b-a must be one of the value f(x) assumes between in the interval [a,b]. We can thus express it as f(e).

f(e) = i/(b-a)
i = f(e)(b-a)

Which is the proof of the Mean Value Theorem. All you need is certainty of continuity.
 
  • #5
f is not continuous. If it were F would be differentiable. So what was the point? It is trivial to find examples for Karlisbad/eljose/lokofer that demonstrate that it is false in general. Suppose that f is a function that only takes the value 0 and 1, then the condition states that the integral of f over any interval is the length of the interval, which can only happen if f is 0 on a set of measure zero, so just pick an f that is not zero on set of strictly positive measure. If that is too much measure theory then just consider f to be the most elementary discontinuous function, the Heaviside step function.
 
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  • #6
"How can a function be continuous and not differentiable?"
try this one:
[tex]f(x)=\sum_{n=0}^{\infty}\frac{\cos((n!)^{2}x)}{n!}[/tex]

This is continuous, and non-differentiable at every point.
 
  • #7
Werg22 said:
How can a function be continuous and not differentiable? The definition of continuity hold that the function has limits such as any value of y in the interval [a,b] could be represented as the funciton of a point (be it rational or irrational). This being said, it also holds that there are intervals where the function is strictly monotonously increasing, decreasing or stale.
No, it doesn't. Arildno's example is not monotone on any interval.
 
  • #8
Just to add another example:
In general, one cannot conclude anything about the derivative from the function itself. This is basically what you could call the "un-smoothing" property of the derivative.

Here's another example:
Let a sequence of functions be defined as:
[tex]f_{n}(x)=\frac{\sin(n^{2}x)}{n}[/tex]
Note that we have [tex]f_{n}(x)\to{f}(x)\equiv{0}[/tex] UNIFORMLY.
However, a limiting function of the derivatives of fn wrt. to x doesn't exist.

Not even the strict requirement of uniform continuity is sufficient to say anything about the existence of derivatives.
 

1. What is the Mean Value Theorem for Integrals?

The Mean Value Theorem for Integrals is a fundamental theorem in calculus that states that if a function is continuous on a closed interval, then there exists at least one point within that interval where the function's average value is equal to its instantaneous value at that point.

2. How is the Mean Value Theorem for Integrals different from the Mean Value Theorem for Derivatives?

The Mean Value Theorem for Integrals is an extension of the Mean Value Theorem for Derivatives. While the Mean Value Theorem for Derivatives applies to the derivative of a function, the Mean Value Theorem for Integrals applies to the function itself. This theorem is used to find the average value of a function over a given interval, while the Mean Value Theorem for Derivatives is used to find a point where the derivative of a function is equal to its average rate of change over an interval.

3. What is the significance of the Mean Value Theorem for Integrals?

The Mean Value Theorem for Integrals is important because it provides a way to calculate the average value of a function over a given interval. This can be useful in various real-life applications, such as finding the average velocity of an object over a certain time period. It also has several implications in calculus, such as the Fundamental Theorem of Calculus.

4. Does the Mean Value Theorem for Integrals always hold?

Yes, the Mean Value Theorem for Integrals always holds as long as the given conditions are met. These conditions include the function being continuous on a closed interval, and the interval not being equal to zero. If these conditions are not met, then the theorem may not hold.

5. Can the Mean Value Theorem for Integrals be used to find the exact value of a function?

No, the Mean Value Theorem for Integrals only provides a way to find the average value of a function. It does not give the exact value of the function at a specific point. However, it can be used in conjunction with other calculus concepts to find the exact value of a function, such as the Fundamental Theorem of Calculus.

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