Taylor's Theorem
Taylor's Theorem approximates a smooth function near a point using a polynomial whose coefficients are determined by the function's derivatives. The remainder term quantifies the error. This is the foundation for numerical methods, asymptotic analysis, and series expansions in analysis.
Statement
Let be times differentiable. For and , there exists between and such that
The sum is the Taylor polynomial , and the last term is the Lagrange remainder .
- : Mean Value Theorem.
- : Linear approximation .
- : Quadratic approximation including second derivative.
For , all derivatives are . At , the Taylor polynomial is
The remainder satisfies as for fixed , so .
For at , the derivatives cycle: At : Thus
Applications
To approximate near , use . Then , , . The quadratic Taylor approximation is
For , this gives , very close to the true value
Summary
Taylor's Theorem provides polynomial approximations to smooth functions:
- The Taylor polynomial matches the function and its derivatives at a point.
- The remainder term estimates the error.
- Applications: numerical approximation, asymptotic analysis, evaluating limits.
See Taylor's Theorem proof and Series of Functions for more on convergence.