When speed changes over time, it is difficult to determine the distance traveled. But we can get a good approximation by dividing the time interval into a large number of pieces and assuming the speed remains constant over each individual period. Then, in each piece, we multiply the change in time by the speed at the start of that interval and sum the products.
We’ll call dividing into intervals an -approximation. So the above shows a 5-approximation of the distance traveled.
A car accelerates with constant acceleration from 0 mph to 60 mph over a 3-hour period.
If we divide this time interval into three intervals (i.e. using a 3-approximation), what are the speeds at the start of the intervals?
The same car still accelerates at a constant rate from 0 mph to 60 mph over a 3-hour period.
A 3-approximation (i.e. dividing into three smaller time intervals) would give miles for the distance traveled over the whole 3-hour period, and a 60-approximation (i.e. dividing into 60 smaller time intervals) would give miles for the distance traveled over the whole 3-hour period. What are and
(Note we are still taking the speed at the start of each interval.)
Now suppose there is a function that tells us the speed of the car at any given time: in other words, represents the speed of the car at time . The time interval is split into 4 smaller intervals:
In terms of , what are the speeds at the beginning of these smaller intervals?
Again the car’s speed at time is . Over the time interval , what is the 100-approximation (i.e. splitting the time into 100 intervals) to the distance traveled?
In the last problem, we saw that the 100-approximation for distance travelled over the time period is
Generalizing, the -approximation is similarly
This is called a Riemann sum, which for now we’ll write as meaning the -approximation of the distance travelled over the time interval with speed function The idea is that the "true" distance should be a limit of these approximations as goes to infinity.
In the coming quizzes, we’ll see how the Riemann sum appears not just with distance but in more and more seemingly unrelated places. Then we’ll build up tools to easily evaluate all of these sums!