The Logic of Accumulation
Every application in this unit (from hydrostatic pressure to probability) relies on the same Riemannian logic:
- Partition: Divide a quantity into $n$ sub-intervals.
- Approximate: Calculate the property on a single "slice" where parameters (like depth or density) are nearly constant.
- Limit: Take the limit as the number of slices becomes infinite, transforming the sum into a definite integral.
The Decoupling of Metrics
As demonstrated by the Discovery Project (p. 545), geometric properties are not inherently linked. Functions can share an identical "area under the curve" while possessing radically different arc lengths. This proves that area is an insufficient metric for describing complex systems. Integration allows us to move across dimensions—accumulating 1D line segments to find length, 2D slices to find pressure on a surface, and 1D probability densities to find total 0D expected values.
Consider a flexible cable hanging between two poles. While the "area" beneath the cable might tell us how much light is blocked, it tells us nothing about the tension or the material needed. To understand the physical reality, we must accumulate the length of each infinitesimal segment $ds$ using the arc length differential:
$$ds = \sqrt{1 + [f'(x)]^2} dx$$