The Riemann sum IS a numeric function which is the area under the curve between two input points, x_1 and x_2. This defined in all calculus books. The area is computed by adding up the infinite number of f(x)delta_x between points x_1 and x_2, limit as the number of these rectangular "slivers" approaches infinity.
The Fundamental Theorem of Integral Calculus equates this operation, which they call a definite integral, with the operation of obtaining an algebraic function [which differentiates back into f(x)] or "anti-derivative" which we will label F(x) obtained by calculating F(x_2) - F(x_1).
This stuff appears in advanced calculus books and Wikipedia:
http://en.wikipedia.org/wiki/Fundamental_theorem_of_calculus
also known as the "Second Fundamental Theorem of Calculus"
My question is, how do you prove this to be true?
An intuitive approach would be to take a F(x) and its area below it and the x-axis. Additional area would be f(x)*delta(x) which would obtain the area of a sliver. We would call that delta(A). As delta(x) --> 0 we would call that d(A) and delta(x) would be d(x).
Thus d(A) = f(x)d(x). [d(A)/d(x)] = f(x), therefore A would be the anti-derivative of both sides of the equation between x_1 and x_2 or F(x_2) - F(x_1)
Now, with regards to the normal equation y = e^(-x^2), this integral is defined as an error function. This error function is an expansion of a Taylor series and, as such, is a numeric approximation. There is no actual algebraic F(x) which differentiates back into e^(-x^2). One must solve for the "AUC" by numeric methods. Whether this is done by obtaining the ordinates of the normal probability density function at ever decreasing intervals*delta(x) and adding them up or using the erf, it is still a numeric approximation. It is NOT an algebraic solution. With high speed calculators or computers, this can be done easily.
So, let's leave that alone (the probability density function of a normal distribution) for now and just accept the fact that there ARE algebraic functions for which no anti-derivative can be found, at least not yet, so we must resort to numeric methods to solve them.
This is like climbing a mountain from different sides. One side up the hill is the Riemann sum approach, while the other path from the opposite side is the anti-derivative approach - if such an expression exists for a given function. At the summit, they meet and are the same. My intuitive proof cited above is not rigorous.
Can you help me with a more rigorous proof that "ain't off the wall?"
Any takers?