Calculate second derivative of a function in terms of another function

In summary, the conversation discusses a bijective function of class C^2 and its inverse function of class C^2. The first part asks to calculate g''(x) for all x in the domain of the inverse function in terms of f and its derivatives. The second part asks to prove that if f'(x) and f''(x) are both positive for all x in the domain, then g''(x) is negative for all x in the domain of the inverse function. To solve the first part, the conversation suggests using the fact that g(f(x)) = x and simplifying the equation. For the second part, the conversation suggests thinking about the nature of inverses and using examples to come up with a
  • #1
mahler1
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Homework Statement .

Let ##f:[a,b] \to [\alpha,\beta]## be a bijective function of class ##C^2## with an inverse function also of class ##C^2## ##g:[\alpha,\beta] \to [a,b]##.

a)Calculate ##g''(x)## for every ##x \in (\alpha,\beta)## in terms of ##f## and its derivatives.
b)If ##f'(x)>0## and ##f''(x)>0## for every ##x \in (a,b)##, prove that ##g''(x)<0## for every ##x \in (\alpha,\beta)##

For part ##a)##, all I could do was:

##g(y)=(g\circ f)(x)##, so ##g'(y)=(g\circ f)'(x)=g'(f(x))f'(x)##.
Then, ##g''(y)=\dfrac{d}{dx}g'(y)=\dfrac{d}{dx}g'(f(x))f'(x)##.

Computing this derivative gives:
##\dfrac{d}{dx}g'(f(x)).f'(x)=g''(f(x){f'(x)}^2+g'(f(x))f''(x)##

Now, I need to find ##g''(y)## just in terms of ##f## and its derivatives, I don't know how to get rid of ##g''(f(x))## and ##g'(f(x))##.

For part ##b)## I have no idea what to do, I would appreciate any suggestion or idea to prove ##b)##.
 
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  • #2
What you are missing is that g(f(x)) = x. Plug that into your first equation, and you will find things simplify out nicely.

What you computed so far is just d/dx(f(g(x)) without using the fact that these are inverses.

Part b is about the nature of inverses. For example, if f is continuous, so is its inverse; if discontinuous so is its inverse, if differentiable once, so is its inverse, etc.

Here's how to do some thinking about things:

What if f is monotonic increasing? What could you say about f inverse? Take some examples -- look at f(x) = ##x^2## on [0,1]. What is its inverse there? Does f increase or decrease ? What about its inverse? Based on this one example would you feel safe generalizing? Or would you feel safe after looking at 2 or 3 examples? I realize anything can happen on example 4, but when you look at these examples, you can probably see a reason why things are working out as they do; and that reason would apply to all invertible functions.

Once you get that far, look at your computation for g'(x) in terms of f. Does that bear out the intuitive conclusions you drew above?

Okay, go on to the f'' case. In the example above what happens to g''? Why?

Now you can construct an argument about f'' > 0 implying g'' < 0. You might use your computation in part a. Or you might imagine a geometric argument about f inverse being the reflection of f across the line y = x.
 
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FAQ: Calculate second derivative of a function in terms of another function

What is the second derivative of a function?

The second derivative of a function is the rate at which the rate of change of that function is changing. It measures the curvature of the graph at a specific point.

Why is it important to calculate the second derivative of a function?

Calculating the second derivative allows us to determine the concavity of a function, which can provide information about the behavior of the function. It also helps us find important points such as maximums, minimums, and inflection points.

What is the process for calculating the second derivative of a function in terms of another function?

To calculate the second derivative of a function in terms of another function, we use the chain rule. First, we find the first derivative of the function in terms of the other function. Then, we take the derivative of that result to find the second derivative.

Can the second derivative of a function be negative?

Yes, the second derivative of a function can be negative. This indicates that the function is concave down at a specific point, meaning it is curving downwards.

Is there a shortcut for calculating the second derivative of a function?

Yes, there is a shortcut known as the quotient rule. This rule can be used to find the second derivative of a function that is in the form of a fraction. It states that the second derivative of a function is equal to the second derivative of the numerator minus the second derivative of the denominator, all divided by the square of the denominator.

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