Concavity of an integral function

In summary, the conversation is about calculating the second derivative of Q(t), where Q(t) is a function that involves integration and the variables T, t, F, q, p, and s. The participants discuss the best approach for calculating the derivative without knowing the specific values of F and q.
  • #1
gohou@econ.umd.edu
1
0
Hi guys,
I am new in this forum and really hope that somebody can help me.
I would like to show that the following function in concave of convex so I need to calculate the second derivative of Q(t) :

Q(t)=Integral[upper=T; Lower=0]{tF(t)q(p-st)}dt
 
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  • #2
I assume you mean Q(T). t is just the "dummy" variable of integration.

If [tex]Q(t)= \int_0^t (\tauF(\tau)q(p-s\tau))d\tau[/tex]
then the best I can do is
[tex]\frac{dQ}{dt}= tF(t)q(p-st)[/tex]
(by the fundamental theorem of calculus) without knowing what F is. (And is q a constant or a function?)
 
  • #3


Concavity of an integral function refers to the shape of the graph of the function. A concave function has a graph that curves downward, while a convex function has a graph that curves upward. In order to determine the concavity of an integral function, we need to calculate its second derivative.

In this case, the function Q(t) can be rewritten as:

Q(t) = ∫[0,T] tF(t)q(p-st)dt

To calculate the second derivative, we can use the chain rule and the fundamental theorem of calculus. The first derivative of Q(t) is:

Q'(t) = tF(t)q(p-st) + ∫[0,T] F(t)q'(p-st)(-s)dt

Using the chain rule, we can calculate the second derivative:

Q''(t) = F(t)q(p-st) + tF'(t)q(p-st)(-s) + F(t)q'(p-st)(-s) + ∫[0,T] F(t)q''(p-st)(-s)^2dt

Simplifying the second derivative, we get:

Q''(t) = F(t)[q(p-st) - sq'(p-st)] + ∫[0,T] F(t)q''(p-st)(-s)^2dt

In order to determine the concavity of Q(t), we need to look at the sign of the second derivative. If Q''(t) is positive, then the function is convex. If Q''(t) is negative, then the function is concave. If Q''(t) is equal to zero, then the function is neither concave nor convex.

In this case, we can see that Q''(t) contains both positive and negative terms, which means that the concavity of Q(t) will depend on the values of F(t), q(p-st), and q''(p-st). Without knowing the specific values of these functions, we cannot determine the concavity of Q(t). However, we can use this second derivative to analyze the concavity at specific points or intervals.

I hope this helps in understanding the concavity of an integral function. If you have any further questions, please feel free to ask. Welcome to the forum and good luck with your calculations!
 

FAQ: Concavity of an integral function

What is concavity of an integral function?

The concavity of an integral function refers to the curvature of the graph of the function. It describes how the function is bending or curving at a given point.

How is concavity of an integral function determined?

The concavity of an integral function can be determined by looking at the second derivative of the function. If the second derivative is positive, the function is said to be concave up, and if it is negative, the function is concave down.

What are the points of inflection of an integral function?

The points of inflection of an integral function are the points where the concavity changes from positive to negative or vice versa. These points can be found by setting the second derivative of the function equal to 0 and solving for the corresponding x-values.

What is the significance of concavity in integral functions?

The concavity of an integral function can provide valuable information about the behavior of the function. For example, a concave up function indicates increasing rate of change, while a concave down function indicates decreasing rate of change.

How can concavity be used to analyze integral functions?

By studying the concavity of an integral function, we can determine the direction of the function's graph, identify any points of inflection, and make predictions about the behavior of the function. This can be especially useful in applications such as optimization and curve sketching.

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