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Understanding Taylor and McLaurin Series

Mar 17, 2025

Lecture on Taylor and McLaurin Series

Overview

  • Purpose: Represent functions with power series.
  • Focus: Taylor series and McLaurin series.

Power Series Representation

  • General Form:
    • If a function ( f ) has a power series representation at a point ( C ), then: [ f(x) = \sum_{n=0}^{\infty} a_n (x-c)^n ]
    • ( a_n ) are constants, ( x-c ) is raised to powers from 0 to ( n ).
    • If ( C = 0 ), it's still a power series._

Derivatives and Power Series

  • If a function can be represented by a power series, derivatives of all orders must exist.
  • Nth Derivative:
    • The nth derivative exists and can be found by repeatedly applying the derivative rules.
    • Coefficients ( a_n ) relate to derivatives as: [ a_n = \frac{f^{(n)}(c)}{n!} ]

Taylor Series

  • Definition: (Centered at ( C ))
    • [ f(x) = \sum_{n=0}^{\infty} \frac{f^{(n)}(c)}{n!} (x-c)^n ]
  • Steps to Find Taylor Series: (When C = 0, it's a McLaurin series)
    1. Find several derivatives of the function.
    2. Evaluate them at ( x = c ).
    3. Find a pattern and express the nth derivative.
    4. Use the pattern to assemble the series.
    5. Determine the interval of convergence using the Ratio Test._

McLaurin Series

  • Special case of Taylor series where ( c = 0 ).
  • Series Representation:
    • [ f(x) = \sum_{n=0}^{\infty} \frac{f^{(n)}(0)}{n!} x^n ]_

Example Calculations

  • Example 1: ( f(x) = e^x )

    • Derivatives repeat: ( f^{(n)}(x) = e^x ).
    • McLaurin Series: ( \sum_{n=0}^{\infty} \frac{x^n}{n!} )
    • Converges for all real ( x ).
  • Example 2: ( f(x) = \ln(x) )

    • Derivatives involve decreasing power of ( x ).
    • Taylor series might start at a non-zero derivative if the pattern starts later.
    • Interval of convergence can be affected by which derivatives vanish._

Binomial Series

  • General Form: ( (1 + x)^k )
    • Derived using the formula for derivatives and expanded using Taylor series.
    • Specific cases depending on ( k )'s values.
  • Convergence:
    • If ( k ) is a positive integer, converges for all ( x ).
    • Otherwise, convergence depends on the value of ( k ).

Common Series to Remember

  1. Exponential Function ( e^x )
    • ( \sum_{n=0}^{\infty} \frac{x^n}{n!} )
  2. Sine Function ( \sin(x) )
    • ( \sum_{n=0}^{\infty} (-1)^n \frac{x^{2n+1}}{(2n+1)!} )
  3. Cosine Function ( \cos(x) )
    • ( \sum_{n=0}^{\infty} (-1)^n \frac{x^{2n}}{(2n)!} )
  4. Natural Logarithm ( \ln(1+x) )
    • ( \sum_{n=1}^{\infty} (-1)^{n+1} \frac{x^n}{n} )
  5. Binomial Series ( (1+x)^k )
    • ( \sum_{n=0}^{\infty} \binom{k}{n} x^n )_

Using Known Series for Other Functions

  • Manipulate functions to fit the form of known series using algebraic manipulations.
  • Example: Express ( \frac{1}{1+x} ) by transforming variables and using geometric series.

Integration of Series

  • Can integrate a power series term-by-term.
  • Example: Integrating ( e^{-x^2} ) series.

Closing Thoughts

  • Taylor and McLaurin series are powerful tools for approximating functions using polynomials.
  • Important to understand the convergence properties to ensure series accurately represent functions over intended intervals.