Concavity at Limits: 4 Questions

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In summary, the theorem states that if a function is continuously differentiable at a point, then there exists a derivative that is greater than zero at that point.
  • #1
bomba923
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Just four questions here :biggrin: :

1) For a function f(x), [itex] \exists f''\left( x \right) [/itex] for [itex] \left\{ {x|\left( { - \infty ,a} \right) \cup \left( {a,\infty } \right)} \right\} [/itex], and [tex] \mathop {\lim }\limits_{x \to a} f\left( x \right) = \infty [/tex].
Then, is it true that
[tex] \mathop {\lim }\limits_{x \to a} f''\left( x \right) > 0 \, {?} [/tex]

(...in the sense that always [itex] \exists \, \varepsilon > 0 [/itex] such that [itex] \forall x \in \left[ {a - \varepsilon ,a + \varepsilon } \right] [/itex] where [itex] x \ne a [/itex], [itex] f''\left( {x} \right) > 0 [/itex], that is :smile:)
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2) And, if
[tex] \mathop {\lim }\limits_{x \to a} f\left( x \right) = - \infty [/tex], then
[tex] \mathop {\lim }\limits_{x \to a} f''\left( x \right) < 0 \, {?} [/tex], right?

If both statements are true, what's the name of the theorem stating them?
(or explaining them, I suppose)
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3) Now, let [itex] f^{\left( n \right)} \left( x \right) [/itex] represent the n'th derivative of f(x). If [tex] \mathop {\lim }\limits_{x \to a} f\left( x \right) = \infty [/tex],
is it true that if [tex] \exists f^{\left( n \right)} \left( x \right) [/tex],
then [tex] \mathop {\lim }\limits_{x \to a} f^{\left( n \right)} \left( x \right) > 0 \, {?}[/tex]
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4) Finally, if [tex] \mathop {\lim }\limits_{x \to a} f\left( x \right) = \infty [/tex],
is it true that if [tex] \exists f^{\left( n \right)} \left( x \right) [/tex],
then [tex] \mathop {\lim }\limits_{x \to a} f^{\left( n \right)} \left( x \right) = \infty \, {?}[/tex]
 
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  • #2
1) This need not be true. For example:

[tex]f(x) = \frac{\sin \left(\frac{1}{x}\right)+2}{x^2}[/tex]
It is two times differentiable everywhere except at the origin. And
[tex] \mathop {\lim }\limits_{x \to 0} f\left( x \right) = \infty [/tex], but [tex]f''(x)[/tex] (and any other of it's derivatives) is alternatingly positive and negative when you approach the origin.

2) Counterexample: take [tex]g(x)=-f(x)[/tex]

3,4) Counterexample: again [tex]f[/tex]
 
  • #3
However, replace [itex]f^{(n)}(x)[/itex] with [itex] | f^{(n)}(x)| [/itex] and (3) (and thus (1)) works. For if the nth derivative approaches zero, the higher derivatives ( >n ) also approach zero, and what you have is a finite limit. You can prove this with the definition of the derivative, and an epsilon/delta argument.
 

FAQ: Concavity at Limits: 4 Questions

What is concavity at limits?

Concavity at limits is a mathematical concept that describes the direction of curvature of a function at a specific point. It is determined by the second derivative of the function and can be either concave up or concave down.

How is concavity at limits different from concavity in general?

Concavity at limits specifically refers to the behavior of a function at a particular point, whereas concavity in general describes the overall curvature of a function. Concavity at limits can change depending on the point being evaluated, while concavity in general remains constant for a given function.

How is concavity at limits used in calculus?

Concavity at limits is an important concept in calculus because it can be used to determine the nature of critical points and inflection points of a function. It also helps in analyzing the behavior of a function near a specific point and making predictions about its overall shape and behavior.

Can concavity at limits be negative?

Yes, concavity at limits can be negative, which means that the function is concave down at that point. This indicates that the function is curving downward and has a decreasing rate of change. It is determined by the second derivative being negative at that point.

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