You should think of Taylor polynomials as higher-order linearizations. A linearization uses the tangent line, which only matches the first derivative behavior. A Taylor polynomial goes further by matching curvature and higher-order behavior too. The closer x is to the center a, the better the approximation usually is. When a=0, the Taylor polynomial is called a Maclaurin polynomial. In BC calculus, you often build these by computing derivatives and substituting into the formula.
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Lesson PreviewLesson 11 of 15 in this unit
10.11 Finding Taylor Polynomial Approximations of Functions
Part of Infinite Sequences and Series in AP® Calculus BC. Read the opening section, then create a free account for the full interactive lesson, practice, and progress tracking.
A Taylor polynomial approximates a function near a specific center x=a using a polynomial built from the function’s derivatives at that point. The degree n Taylor polynomial for f(x) centered at a is
This polynomial matches the function’s value and several derivatives at x=a, which makes it a very good local approximation near that point.
In this unit
15 lessons
- 10.1Defining Convergent and Divergent Infinite SeriesPreview lesson
- 10.2Working with Geometric SeriesPreview lesson
- 10.3The nth Term Test for DivergencePreview lesson
- 10.4Integral Test for ConvergencePreview lesson
- 10.5Harmonic Series and p-SeriesPreview lesson
- 10.6Comparison Tests for ConvergencePreview lesson
- 10.7Alternating Series Test for ConvergencePreview lesson
- 10.8Ratio Test for ConvergencePreview lesson
- 10.9Determining Absolute or Conditional ConvergencePreview lesson
- 10.10Alternating Series Error BoundPreview lesson
- 10.11Finding Taylor Polynomial Approximations of FunctionsThis lesson
- 10.12Lagrange Error BoundPreview lesson
- 10.13Radius and Interval of Convergence of Power SeriesPreview lesson
- 10.14Finding Taylor or Maclaurin Series for a FunctionPreview lesson
- 10.15Representing Functions as Power SeriesPreview lesson
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