I am currently taking an advanced Calculus class in college, and we are studying generalizations of the FTC. We just started on the version for Line Integrals, and one can see the explicit symmetry between the 1-dim version and this version. But as the technical meaning of this theorem sank in, I realized I never really understood the

meaningof FTC, going back to 1-dim.I understand that FTC creates a bond between the two fundamental studies of calculus, the integral and the derivative. But is there some geometric or tangible meaning to this bond? What does it really mean that the integral and the derivative are “inverse processes”? Is this in the same exact sense as an inverse function? It would seem that the derivative measures instant change, and the integral measures area; what connection can drawn between the two ideas? Is the equation in FTC just purely mechanical?

Any ideas on this subject are greatly appreciated; I’m just trying to understand a nice theorem. Also, if anyone can shed light on the meaning of FTC in the broader context of its generalizations (Line Integral, Green’s Theorem, Stokes) that would be nice as well.

**Answer**

The area under the curve for a continuous function y=f(x) between x and x+h could be computed by finding the area between 0 and x+h, then subtracting the area between 0 and x. Thus the area of the strip would be A(x+h)−A(x).

Now f(x)⋅h is the linear approximation to the area of the strip. This approximation improves as h becomes smaller, i.e. A(x+h)−A(x)≈f(x)⋅h. The approximation becomes an equality as h approaches zero in the limit.

Now divide both sides by h, then f(x)≈(A(x+h)−A(x))/h. As h approaches zero in the limit, then the RHS becomes the derivative of the area function A(x).

Thus, what the fundamental theorem of calculus says is this: “The derivative of the area under the curve f(x) is the curve f(x)“. Hence differentiation and integration are inverse operations. This is an informal (non-rigorous) proof. But I hope it gives you an intuitive understanding of the theorem.

The inverse relationship between integration and differentiation can be further elaborated (intuitively) as follows:

What are we essentially doing, when we are differentiating? We are taking the change in f(x), over an interval of length h units, and looking at how this change is *distributed* over the interval (i.e. we are calculating the change over an interval of unit length). If f(x) was a linear function, then we would just divide this change by the length of the interval. (Δf(x)/h=m). (where m is the slope of f(x)).

If f(x) is a non-linear function, then, f′(x) = lim.

When we integrate a function f(x) over an interval of length h, we are *accumulating* the function f(x) over the length of the interval. If f(x) was a linear function then we would just multiply the change in unit length by the length of the interval and add it to the value of f(x) at the starting point of the interval f(x) = f(x_0) + \Delta f(x), where

\Delta f(x) = m \cdot h (where m is the slope of f(x)).

If f(x) is a non-linear function, then, f(h) = f(x_0) + \int_{x_0}^h f'(x)dx . (Note that here we are integrating (accumulating) the change in unit length).

Now, division (repeated subtraction) and multiplication (repeated addition) are inverse operations, and provided, that the error between the linear approximation and the actual area or rate of change is an infinitesimal (i.e. it can be made as small as we please), then this inverse relationship holds even in the non-linear case.

The primary reason for the confusion, regarding the inverse relation between differentiation and integration, is the interpretation of integration as measuring an area. One has to understand that this area is only a *measure*. If f(x) represented an area, and x length, then the ‘area’ under f(x) would actually represent a volume. The area is thus a measure of the volume.

It would be better, to think of the integral as accumulation of a quantity (in our discussion above, this quantity is the change over an interval of unit length). This *definition* is consistent, with the *interpretation* of integral as an area. Let’s consider a rectangle of length 4 units and breadth 3 units. If x represents length, then, f(x) = 3. What are we doing, when we are calculating its area? We are accumulating this breadth over an interval of length 4 units. A = 3 + 3 + 3 + 3 = 3 \cdot 4 = \int_0^4 3 dx = [3x]_0^4 = 12 square units.

Now lets differentiate this function. To differentiate, we have to take its accumulated change over any interval and calculate its distribution. But this function doesn’t change – f(x) = a constant = 3. So there’s no change, and hence the derivative is equal to zero. f'(x) =0.

It is intuitively obvious then, that if we first accumulate a quantity over an interval and then distribute this accumulation over the same interval, then we should end up with our original quantity. Let’s turn to the rectangle example again. To calculate the area we accumulate f(x), over an interval of length 4 (where f(x) = 3), then we get the area as 12 square units. Now if we distribute this area over the interval of 4 units, then what do we get? 12/4 = 3 units – (f(x) = 3) – which is the distribution of this accumulation(area) over over the interval of 4 units. (Derivative of 3x = 3). This is the inverse relationship aspect of the FTC.

There may not be any visible connection between calculating an area and calculating a rate of change. But there is an inverse relationship between accumulation and distribution.

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