Series Converging to π and 1 / π Dozens of series exist that converge to π or an algebraic expression containing π . Here we look at several examples and compare their rates of convergence. By rate of conveigence. we mean the number of terms necessazy for a partial sum to be within a certain amount of the actual value. The series representations of z in the first two examples can be explained using Maclaunn series, which axe discussed in the next chapter. The third example relies on material beyond the scope of this text. 1. The series π = 4 ∑ n = 1 ∞ ( − 1 ) n + 1 2 n − 1 = 4 − 4 3 + 4 5 − 4 7 + 4 9 − ... was discovered by Gregory and Leibniz in the late 1600s. This result follows from the Maclaurin series for f(x) = tan-1 x. We will discuss this series in the next chapter. a. Prove that this series converges. b. Evaluate the partial sums S n for n = 10. 20. 50. 100. C. Use the iemainder estimate for alternating series to get a bound on the error R n . d. What is the smallest value of N that guarantees | R N | <0.01? Evaluate S N .
Series Converging to π and 1 / π Dozens of series exist that converge to π or an algebraic expression containing π . Here we look at several examples and compare their rates of convergence. By rate of conveigence. we mean the number of terms necessazy for a partial sum to be within a certain amount of the actual value. The series representations of z in the first two examples can be explained using Maclaunn series, which axe discussed in the next chapter. The third example relies on material beyond the scope of this text. 1. The series π = 4 ∑ n = 1 ∞ ( − 1 ) n + 1 2 n − 1 = 4 − 4 3 + 4 5 − 4 7 + 4 9 − ... was discovered by Gregory and Leibniz in the late 1600s. This result follows from the Maclaurin series for f(x) = tan-1 x. We will discuss this series in the next chapter. a. Prove that this series converges. b. Evaluate the partial sums S n for n = 10. 20. 50. 100. C. Use the iemainder estimate for alternating series to get a bound on the error R n . d. What is the smallest value of N that guarantees | R N | <0.01? Evaluate S N .
Series Converging to
π
and 1/
π
Dozens of series exist that converge to
π
or an algebraic expression containing
π
. Here we look at several examples and compare their rates of convergence. By rate of conveigence. we mean the number of terms necessazy for a partial sum to be within a certain amount of the actual value. The series representations of z in the first two examples can be explained using Maclaunn series, which axe discussed in the next chapter. The third example relies on material beyond the scope of this text.
was discovered by Gregory and Leibniz in the late 1600s. This result follows from the Maclaurin series for f(x) = tan-1 x. We will discuss this series in the next chapter.
a. Prove that this series converges.
b. Evaluate the partial sums Snfor n = 10. 20. 50. 100.
C. Use the iemainder estimate for alternating series to get a bound on the error Rn.
d. What is the smallest value of N that guarantees |RN| <0.01? Evaluate SN.
During busy political seasons, many opinion polls are conducted. In apresidential race, how do you think the participants in polls are generally selected?Discuss any issues regarding simple random, stratified, systematic, cluster, andconvenience sampling in these polls. What about other types of polls, besides political?
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