Series: Calculus Notes
Part 3: From A to o(h)
In Parts 1 and 2, we wrote formulas like
That was a good way to track the leftover error, but it was intentionally a little loose. Now we want the precise version of the same idea.
One reason the is useful is that you can calculate with it. For example,
because sine always stays between and . You can also manipulate it algebraically.
Another example is
These examples all do the same job. The notation lets us carry an unnamed error term through algebra while still keeping track of its size.
Let's go back to
The precise way to say that the error is much smaller than the main linear term is to write the error as , where as . We do not need to know exactly what is. We only need to know that it becomes small as becomes small. So the exact local statement of speed is
We abbreviate using o notation, so the same statement becomes
This is the precise version of the informal language from Part 1. The notation gives an absolute bound on the error. The o notation gives a relative bound: once you divide the error by , what is left goes to 0. In other words, the error is negligible compared with itself.
Definition
o notation
means for some function with as .
We do not know exactly what is, and we do not need to. We only need to know that it goes to 0.
Definition
Exact local speed statement
is the precise way to say that the position looks linear for small .
The main term is , and everything else is smaller than that in the limit.
Part 4 will use three simple rules for o notation over and over, so it is worth stating them clearly.
Rule 1
Sum rule
If and , then .
Write and . Then , and the bracket still goes to 0.
Rule 2
Constant multiple rule
If and is fixed, then .
Multiplying the small error factor by a fixed constant does not stop it from going to 0.
Rule 3
Extra-factor rule
Multiplying by an extra factor of gives a term of size . In particular, , and if , then .
For , just write . For , write , so .
So the old language was a good way to bound errors, while o notation gives the exact local statement needed for proofs. In the next note, we will use that exact form to prove the power rule.
Definition
A notation
means some quantity whose absolute value is at most .
If you are used to seeing measurements written with a plus/minus, this is the same basic idea. We are keeping track of how large the error can be without needing to know exactly what it is.
Definition
o notation
means for some function with as .
We do not know exactly what is, and we do not need to. We only need to know that it goes to 0.
Definition
Exact local speed statement
is the precise way to say that the position looks linear for small .
The main term is , and everything else is smaller than that in the limit.
Rule 1
Sum rule
If and , then .
Write and . Then , and the bracket still goes to 0.
Rule 2
Constant multiple rule
If and is fixed, then .
Multiplying the small error factor by a fixed constant does not stop it from going to 0.
Rule 3
Extra-factor rule
Multiplying by an extra factor of gives a term of size . In particular, , and if , then .
For , just write . For , write , so .