Calculus II · Unit 4B · lesson
Logarithm and Arctangent Series
Derive logarithm and arctangent series by integrating geometric expansions and analyze endpoint convergence.
Section overview
Constructing Taylor and Maclaurin seriesWhat this section is building
Derive logarithm and arctangent series by integrating geometric expansions and analyze endpoint convergence.
Taylor coefficients encode local derivative data as a polynomial of increasing degree.
Choose the center, compute the derivative pattern, divide by factorials, and state whether you need a polynomial or an infinite series.
Assuming every smooth-looking function equals its Taylor series everywhere.
Learning objectives
derive and use the standard series for and .
Logarithm and Arctangent Series
Integration turns rational geometric forms into inverse functions
The derivatives of and are rational functions that can be expanded geometrically. Integrating those expansions produces denominators or . This is often easier and more revealing than differentiating the original functions repeatedly.
Endpoint behavior becomes especially important. The logarithm series converges conditionally at and diverges at . The arctangent series converges at both , producing formulas for . These endpoint values connect power series with famous numerical constants.
Integration creates series that derivative cycles do not reveal easily
The series for logarithm and arctangent are most naturally derived by integrating geometric-series variants. This shows why power-series algebra is more than a catalog: a known representation can be transformed into a new function whose derivatives would otherwise be cumbersome to organize.
Endpoint behavior becomes mathematically interesting. The interior representation follows from termwise integration, while values such as may converge only conditionally. That boundary evaluation connects power series back to alternating-series theory.
A kernel identity becomes a new function identity
Inside , integrate
from to . Uniform convergence on smaller closed intervals justifies the termwise integral and yields the logarithm series with its constant fixed automatically.
Two derived series
For ,
For ,
Approximate
At ,
The formula is elegant but converges slowly, so it is historically important and computationally inefficient without acceleration.
Approximate ln(1.2) with a certified alternating series
Using
set . Four terms give
The next term has magnitude , so the true value differs from this approximation by at most .
Track the constant of integration with an initial value
Termwise integration produces an arbitrary constant. Use a known value such as or to determine it.
u4b-logarithm_and_arctangent_series-01Evaluate the arctangent series at .
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Derive the logarithm series from .
Use four terms to approximate .
State endpoint behavior of .
Explain why the arctangent approximation to is slow.
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