Second Derivative Theorems

In summary, the second derivative theorem states that the gradient of a function at a point is the slope of the tangent to the function at that point.
  • #1
Orion1
973
3


I am posting my theorems for peer review, anyone interested in posting some proofs using some simple functions?

Can these theorems be reduced into simpler equations?

Orion1 Second Derivative Theorems:
[tex]\frac{d^2}{dx^2} (x) = 0[/tex]
[tex]\frac{d^2}{dx^2} (x^2) = 2[/tex]
[tex]\frac{d^n}{dx^n} (x^n) = n![/tex]
[tex]\frac{d^2}{dx^2} (x^n) = n(n - 1) x^{n - 2}[/tex]
[tex]\frac{d^2}{dx^2} (x^{-n}) = n(n + 1)x^{-n - 2}[/tex]

[tex]\frac{d^2}{dx^2} \left[ f(x) \pm g(x) \right] = \frac{d^2}{dx^2} [f(x)] \pm \frac{d^2}{dx^2} [g(x)][/tex]

[tex]\frac{d^2}{dx^2} [f(x) \cdot g(x)] = \frac{d^2}{dx^2} [f(x)] \cdot g(x) + 2 \frac{d}{dx} [f(x)] \cdot \frac{d}{dx} [g(x)] + \frac{d^2}{dx^2} [g(x)] \cdot f(x)[/tex]

[tex]\frac{d^2}{dx^2} \left[ \frac{f(x)}{g(x)} \right] = \frac{\frac{d^2}{dx^2} [f(x)] \cdot [g(x)]^2 - 2 \frac{d}{dx} [f(x)] \cdot g(x) \cdot \frac{d}{dx} [g(x)] + \left[ g(x) \cdot \frac{d^2}{dx^2} [g(x)] - 2 \left( \frac{d}{dx} [g(x)] \right)^2 \right] \cdot f(x)}{[g(x)]^3}[/tex]

 
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  • #2
[tex]\frac{d^n}{dx^n} (x^n) = n![/tex]

Ah, at first I disagreed. But now I see it. I like that one.
 
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  • #3
The pattern in [tex]\frac{d^2}{dx^2} [f(x) \cdot g(x)] = \frac{d^2}{dx^2} [f(x)] \cdot g(x) + 2 \frac{d}{dx} [f(x)] \cdot \frac{d}{dx} [g(x)] + \frac{d^2}{dx^2} [g(x)] \cdot f(x)[/tex]
is more easily seen using the "prime" notation:
[tex] (fg)'' = f''g+2f'g'+fg''[/tex]
...the coefficients are just like those in
[tex] \begin{align*}
(f+g)^2
&= f^2g^0+2f^1g^1+f^0g^2
\end{align*}[/tex]
 
  • #4
[tex]\frac{d^2}{dx^2}u^v=2u^{v-1}\frac{du}{dx}\frac{dv}{dx}+v(v-1)u^{v-2}(\frac{du}{dx})^2+v u^{v-1}\frac{d^2u}{dx^2}+u^v\log^2(u)(\frac{dv}{dx})^2+u^v\log(u)\frac{d^2v}{dx^2}[/tex]
 
  • #5
functional malfunction...

lurflurf theorem:
[tex]\frac{d^2}{dx^2}u^v=2u^{v-1}\frac{du}{dx}\frac{dv}{dx}+v(v-1)u^{v-2}\left(\frac{du}{dx}\right)^2+vu^{v-1}\frac{d^2u}{dx^2}+u^v\log^2(u)\left(\frac{dv}{dx}\right)^2+ u^v\log(u)\frac{d^2v}{dx^2}[/tex]



lurflurf, your theorem appears to be missing a factor: [tex][1 + v \ln(u)][/tex]

Orion1 second derivative theorem:
[tex]\frac{d^2}{dx^2}u^v=2u^{v-1}[1+v\ln(u)]\frac{du}{dx}\frac{dv}{dx}+v(v-1)u^{v-2}\left(\frac{du}{dx}\right)^2+vu^{v-1}\frac{d^2u}{dx^2}+u^v\ln^2(u)\left(\frac{dv}{dx}\right)^2+u^v\ln(u)\frac{d^2v}{dx^2}[/tex]

Is this theorem correct?

 
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What is the Second Derivative Theorem?

The Second Derivative Theorem states that if a function f(x) has a second derivative that is continuous on an interval, and if f'(x) has a critical point at x = c, then the second derivative f''(x) will also have a critical point at x = c.

What is the significance of the Second Derivative Theorem?

The Second Derivative Theorem is significant because it allows us to determine the concavity of a function and identify points of inflection, which are points where the concavity changes. This information is useful in optimizing functions and solving real-world problems.

Can the Second Derivative Theorem be applied to all types of functions?

Yes, the Second Derivative Theorem can be applied to all types of functions as long as the second derivative is continuous on the interval of interest. This includes polynomial functions, rational functions, exponential functions, and trigonometric functions.

How is the Second Derivative Theorem related to the First Derivative Test?

The Second Derivative Theorem is closely related to the First Derivative Test, which is used to determine the relative extrema of a function. The Second Derivative Theorem helps to confirm the results of the First Derivative Test by showing that the second derivative of the function has a critical point at the same location as the first derivative.

Are there any limitations to the Second Derivative Theorem?

The Second Derivative Theorem is limited in that it only applies to functions with continuous second derivatives. If a function has a discontinuity or a sharp corner, the theorem cannot be applied. Additionally, the theorem does not provide information about the exact location of critical points, only that they exist at the same location as the critical points of the first derivative.

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