The square rate t² on the interval from 0 to 1 has left sums that can be computed for any n. At n = 4 the left sum is 7/32; at n = 8 it is 35/128; at n = 16 it is 155/512. The lab's exact total is 1/3. Each sum is below it and each is closer than the one before.
t² on [0, 1], left sums
n left sum sum minus total error ratio
4 7/32 −11/96
8 35/128 −23/384 44/23 ≈ 1.91304
16 155/512 −47/1536 92/47 ≈ 1.95745
The lab prints the error as the sum minus the total, so the errors of these low sums are negative: −11/96, −23/384, −47/1536. The ratio of one to the next is positive, because the signs cancel. The decimals are marked ≈ because they are rounded; 44/23 and 92/47 are the exact figures.
Each doubling cuts the error to a little more than half. If it were exactly half the ratio would be 2, and the ratios are 44/23 and 92/47, which are below 2 and creeping toward it. The reason has a simple core: the error is about half of the gap h·(f(b) − f(a)), and the gap halves exactly.
The one rate for which the ratio is exactly two
The ramp 2t on the interval from 0 to 2 is a straight line. For a straight line the true total is exactly the average of the left and right sums, so the left sum falls short by exactly half the gap: h·(f(b) − f(a))/2 = h·4/2 = 2h. At n = 4, h = 1/2 and the error is −1. At n = 8 it is −1/2. The ratio is exactly 2, every time.
Theorem · The sums approach the totalFor a polynomial rate on a fixed interval, the left sums Lₙ for n = 4, 8, 16, … approach a single number, and that number is the exact total change.
This is stated as a claim. The table above is the lab demonstrating it at three values of n for one rate, and the ramp's error 2h proves it for that one rate because 2h goes to zero as h does. For a rate like t² there is no such formula in sight, and nothing the lab prints is a proof for all n. The proof is the job of a first analysis course; the lab supplies the numbers that make the claim believable and specific.
Example · A cubic whose ratio is further from twoThe cubic preset is t³ on the interval from 0 to 2 with four pieces. The left sum is 9/4, the total is 4, and the error is −7/4. At n = 8 the sum is 49/16 and the error is −15/16.
The ratio is (7/4)/(15/16) = 28/15, about 1.86667, further from 2 than the square's 1.91304 at the same n. A rate that bends more needs thinner pieces before its error settles into halving, and n = 4 is still coarse for it.
Doubling the pieces is a measurement, and what it measures is a property of the rate. A ratio of exactly 2 identifies a rate whose left sum errs by a fixed multiple of h. A ratio near 2 and below it identifies one that errs by about that. Neither ratio is a verdict on the sum's correctness: every figure is exact, and the error is the method's.