Speedy Series for Lethargic
Logarithms
(This
project was adapted from Student Research Projects in Calculus, M. Cohen
et. al., MAA, 1991.)
This
project may be done in a group of up to 4 people. Each member of the group will receive the same grade. The project is due Tuesday, April 23.
Many
handbooks of mathematics list several infinite series expansions for the
natural logarithm ln(x). For
example, CRC Standard Mathematical Tables and Formulae (30th
edition), which is in the MacArthur library, lists 4 different series for ln(x)
(which it denotes log(x)). While
these books give the radius of convergence for each series, they do not address
the question of which series converges the most quickly - a vital question if
you are trying to actually compute an approximation in a reasonable amount of
time. We are going to compare two of
these series and address this question.
Part
1: First Series for ln(x)
To
begin with, we will look at the usual Taylor series for ln(x), expanded
about x = 1.
1.
Compute
the Taylor series for ln(x) expanded about x = 1 (you must show
your computation, not just quote the result in the text!).
2.
Find
the interval of convergence for this series.
Be sure to check the endpoints!
3.
Compute
all of the partial sums, for up to ten terms, of ln(0.5) and ln(2), using this
series. What are the errors after 10
terms (compared to the values given by your calculator)?
4.
Determine
how many terms you would need to compute to have 10 decimal places of accuracy
when x = 0.1, 0.5, 1, 2. You may
assume that, when the series converges, it converges to ln(x). [Hint:
Compare the error term in each case to an appropriate geometric series.]
5.
How
could you use this series to compute ln(10)?
Part
2: Second Series for ln(x)
Now
we will look at a different series for ln(x). Consider the transformation of variables:
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1.
Compute
the Taylor series for
, in terms of the variable y, expanded about y
= 0.
2.
Find
the interval of convergence for this series in terms of y. Be sure to check the endpoints!
3.
Find
the interval of convergence for the series in terms of x. How does this compare to the interval of
convergence for our first series?
4.
Compute
all of the partial sums, for up to ten terms, of ln(0.5) and ln(2), using this
series. What are the errors after 10
terms (compared to the values given by your calculator)?
5.
Determine
how many terms you would need to compute to have 10 decimal places of accuracy
when x = 0.1, 0.5, 1, 2, 10. You
may assume that, when the series converges, it converges to ln(x).
Part
3: Comparing the Series
1.
Compare
the results from parts 1 and 2 by constructing appropriate tables which
summarize your calculations. What are
your conclusions?
Let
y = t(x) be the inverse of the transformation
.
2.
Find
t(x). Show that
.
3.
How
could you use this relationship to avoid computing the series in part 2 for
negative values of y?
4.
Is
there any value in avoiding negative values of y? Compare with the analogous situation for the
series in part 1 (consider your answer to question 5 in part 1).