Proving Inequality for Continuously Differentiable Functions on Closed Interval

In summary, the problem is to prove that the supremum of |f(x)| over [0,1] is less than or equal to the integral from 0 to 1 of |f'(x)|, where f'(x) is the derivative of f. This can be shown by using the fact that |f(t)| is equal to the absolute value of the integral of f'(x) from 0 to t, and then using the properties of integrals to show that this is less than or equal to the integral of |f'(x)| from 0 to 1.
  • #1
johnson12
18
0
I'm having trouble with this inequality:


let f be (real valued) continuously differentiable on [0,1] with f(0)=0, prove that

sup[tex]_{x\in[0,1]}[/tex] [tex]\left|f(x)\right|[/tex] [tex]\leq[/tex] [tex]\int^{1}_{0}\left|f\acute{}(x)\right| dx [/tex]


Thanks for any help.
 
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  • #2
Clarifying questions: Do you intend to find the supremum of the function or the interval? Furthermore, is the second f(x) term an f(x) or f'(x)? (It looks like there is a little tick next to it but I cannot tell for sure)
 
  • #3
Sorry for the discrepancy, the problem is to show that the supremum of |f(x)| over [0,1] is less than or equal to the integral from 0 to 1 of |f ' (x)|, where f ' (x) is the derivative of f.
 
  • #4
Look at this:

[tex]
|f(t)| = \left|\int_0^t f'(x) \mbox{ d}x \right| \leq \int_0^t |f'(x)|\ \mbox{ d}x \leq \int_0^1 |f'(x)|\ \mbox{ d}x
[/tex]

Can you finish this?
 

Related to Proving Inequality for Continuously Differentiable Functions on Closed Interval

1. What does it mean for a function to be continuously differentiable?

Continuously differentiable refers to a function that is both differentiable and has a derivative that is continuous. This means that the function has a well-defined tangent line at every point and the tangent line changes smoothly as the point changes.

2. What is the difference between differentiable and continuously differentiable?

The main difference between differentiable and continuously differentiable functions is that differentiable functions may have discontinuities or sharp turns, while continuously differentiable functions do not. Continuously differentiable functions have a smooth and continuous derivative at every point.

3. How is continuous differentiability related to the continuity of a function?

Continuous differentiability is a stronger condition than continuity. A function can be continuous at a point without being continuously differentiable, but a function cannot be continuously differentiable at a point without being continuous at that point.

4. Can a function be continuously differentiable on a closed interval?

Yes, a function can be continuously differentiable on a closed interval. This means that the function is differentiable and has a continuous derivative at every point within the interval, including the endpoints.

5. What are the benefits of continuously differentiable functions in mathematics and science?

Continuously differentiable functions are useful in mathematics and science because they have well-defined tangent lines at every point, making them easier to analyze and work with. They are also important in calculus and optimization problems, and are often used to model real-world phenomena in fields such as physics and engineering.

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