A question regarding continuous function on a closed interval

  • #1
aalma
46
1
Homework Statement
Let ##f## be continuous on ##[a, b] ## and differentiable on ##(a, b)## and assume there is ##c\in(a, b) ## such that ##(f(c) - f(a))(f(b) - f(c)) <0## then there exists ##t\in(a, b) ## such that ##f'(t) =0##.
Relevant Equations
##(f(c) - f(a))((f)(b) - f(c)) <0##
##(f(c) - f(a))((f)(b) - f(c)) <0## tells us that there are two cases:

##f(c) >f(a), f(b) ##
##f(c) <f(a), f(b) ##.
I guess we need to define a new function here that let us use the Rolle's theorem..
But it is not clear enough how to do so.
 
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  • #2
aalma said:
Homework Statement: Let ##f## be continuous on ##[a, b] ## and differentiable on ##(a, b)## and assume there is ##c\in(a, b) ## such that ##(f(c) - f(a))(f(b) - f(c)) <0## then there exists ##t\in(a, b) ## such that ##f'(t) =0##.
Relevant Equations: ##(f(c) - f(a))((f)(b) - f(c)) <0##

##(f(c) - f(a))((f)(b) - f(c)) <0## tells us that there are two cases:

##f(c) >f(a), f(b) ##
##f(c) <f(a), f(b) ##.
I guess we need to define a new function here that let us use the Rolle's theorem..
But it is not clear enough how to do so.

Isn't [tex]
g: [a,b] \to \mathbb{R} : x \mapsto (f(x) - f(a))(f(b) - f(x))[/tex] the obvious candidate?
 
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  • #3
pasmith said:
Isn't [tex]
g: [a,b] \to \mathbb{R} : x \mapsto (f(x) - f(a))(f(b) - f(x))[/tex] the obvious candidate?
Yeah, nut then ##g(a)=0=g(b)## and since g is continuos on [a,b] and differentiable on (a,b) so by Roll's theorem there is ##t \in (a,b): g'(t)=0## but then how to use that ##g(c)<0##?
 
  • #4
aalma said:
Yeah, nut then ##g(a)=0=g(b)## and since g is continuos on [a,b] and differentiable on (a,b) so by Roll's theorem there is ##t \in (a,b): g'(t)=0## but then how to use that ##g(c)<0##?
You need ##f'(t)=0.## Differentiate ##g(x).##
 
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  • #5
fresh_42 said:
You need ##f'(t)=0.## Differentiate ##g(x).##
Right, this gives ##g'(x)=f'(x)(f(a)-2f(x)+f(b))##. ##g'(t)=0## but how this says that ##f'(t)## must be 0? (How we use the assumption abou c?)
 
  • #6
I haven't done the problem.

The idea seems to be to prove that there is at least a minimum or a maximum between ##a## and ##b.## That's Weierstraß's extreme value theorem. It is proven with sequences. I assume we are supposed to prove it differently. The existence of ##c## guarantees at least that ##f## isn't a constant function. We can further assume that ##f(c) > f(a)## and ##f(c) > f(b)## as the other case is very likely along the same line of proof.

Rolle gives us - excuse me that I check your calculation -
\begin{align*}
g'(x)&=f'(x)(f(b)-f(x)) -f'(x)(f(x)-f(a))=f'(x)(f(b)-2f(x)+f(a))\\
g'(\xi_1)&=0=f'(\xi_1)(f(b)-2f(\xi)+f(a))
\end{align*}
If ##f'(\xi_1)=0## then we are done. Otherwise,
\begin{align*}
0&=f(b)-2f(\xi_1)+f(a) \Longrightarrow f(\xi_1)=\dfrac{f(b)+f(a)}{2} <f(c)
\end{align*}
I would now repeat this process on ##[a,\xi_1].## We either find a value ##f'(\xi_n)=0## or ##\displaystyle{\lim_{n \to \infty}\xi_n=a.} ## This means ##\displaystyle{\lim_{n \to \infty}f(\xi_n)=f(a)} ## by continuity of ##f##.

We must now show that this cannot happen. Something must go wrong when ##c\not\in [a,\xi_n]## in our process anymore.
 
  • #7
aalma said:
##(f(c) - f(a))((f)(b) - f(c)) <0## tells us that there are two cases:

##f(c) >f(a), f(b) ##
##f(c) <f(a), f(b) ##.
Here’s a (non-mathematician’s) suggestion...

Consider, say, the first case where ##f(c) >f(a), f(b)##. (This corresponds to the existance of one or more maxima in the interval.)

For the purpose of explanation, suppose that ##f(a)>f(b)##.

Since ##f(x)## is continuous, there is some value of ##x## (say ##x=d##) such that ##f(d) = f(a)##.
,
##c## lies in the interval ##(a, d)##.

For the interval ##(a, d)##, ##f(x)## has equal endpoints, so Rolle’s theorem applies directly.
 
  • #8
aalma said:
Right, this gives ##g'(x)=f'(x)(f(a)-2f(x)+f(b))##. ##g'(t)=0## but how this says that ##f'(t)## must be 0? (How we use the assumption abou c?)

If [itex]g'(\xi) = 0[/itex] then either [itex]f'(\xi) = 0[/itex] or [itex]f(\xi) = (f(b) + f(a))/2[/itex]. in the first case we are done. What is the value of [itex]g(\xi)[/itex] in the second case? Does the fact that [itex]g(c) < 0[/itex] allow you to find a smaller interval on which to apply Rolle's Thorem again?
 
  • #9
Steve4Physics said:
Here’s a (non-mathematician’s) suggestion...

Consider, say, the first case where ##f(c) >f(a), f(b)##. (This corresponds to the existance of one or more maxima in the interval.)

For the purpose of explanation, suppose that ##f(a)>f(b)##.

Since ##f(x)## is continuous, there is some value of ##x## (say ##x=d##) such that ##f(d) = f(a)##.
,
##c## lies in the interval ##(a, d)##.

For the interval ##(a, d)##, ##f(x)## has equal endpoints, so Rolle’s theorem applies directly.
I think you would apply the Intermediate Value Theorem in this context. It states:

If ##f## is a continuous function whose domain contains the interval ##[c, b]##, then it takes on any given value between ##f(c)## and ##f(b)## at some point within the interval.
 
  • #10
I agree to use IVT. This is one of my favorite applications of Rolle. I.e. to show that a differentiable function that changes direction must have zero derivative somewhere in between. It is a bit tedious to treat all cases, but the point is that a continuous function that changes direction on an interval must take the same value at some two distinct points.

Note the hypothesis here implies the function is not monotone on (a,b).

A nice corollary is that a differentiable function on an interval, with derivative never zero, must be monotone. People usually use MVT for this but this shows Rolle is enough.
 

FAQ: A question regarding continuous function on a closed interval

What is a continuous function on a closed interval?

A continuous function on a closed interval is a function that does not have any breaks, jumps, or discontinuities within that interval. Specifically, for a function f(x) defined on a closed interval [a, b], it means that f(x) is continuous at every point in the interval, including the endpoints a and b.

Why is the concept of continuity important for functions on closed intervals?

Continuity on closed intervals is crucial because it ensures that the function behaves predictably without any sudden changes in value. This property is essential for many mathematical theorems and applications, such as the Intermediate Value Theorem and the Extreme Value Theorem, which rely on the function being continuous over a closed interval.

What are some examples of continuous functions on a closed interval?

Examples of continuous functions on a closed interval include polynomial functions like f(x) = x^2 on [0, 1], trigonometric functions like f(x) = sin(x) on [0, π], and exponential functions like f(x) = e^x on [0, 1]. These functions do not have any discontinuities within their respective intervals.

How can you determine if a function is continuous on a closed interval?

To determine if a function is continuous on a closed interval [a, b], you need to check that the function is continuous at every point within the interval, including the endpoints. This involves verifying that the limit of the function as it approaches any point c within [a, b] from both directions is equal to the function's value at that point, i.e., lim(x→c) f(x) = f(c).

What are the implications of a function being continuous on a closed interval?

If a function is continuous on a closed interval, it implies several important properties. For example, by the Extreme Value Theorem, the function will attain both a maximum and a minimum value on that interval. Additionally, by the Intermediate Value Theorem, the function will take on every value between its minimum and maximum values at least once within the interval.

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