Section 7.4 Taylor polynomials
Objectives
You should be able to:
- Calculate the Taylor polynomials of a function, and compute its corresponding higher degree approximation at a given point.
- Illustrate the relation between the function and its higher degree approximations.
- Use the higher degree approximations of a function at a point to approximate the value of the function near this point.
Subsection 7.4.1 Instructional video
Subsection 7.4.2 Key concepts
Concept 7.4.1. Taylor polynomials.
The idea of Taylor polynomials is to approximate a function f(x) at a point x=a by higher degree polynomials. The polynomial
where k!=1⋅2⋅3…k, is called the degree d Taylor polynomial of f(x) at x=a.
It satisfies the properties:
for all k=1,2,…,d.
Concept 7.4.2. The degree d polynomial approximation of a function at a point.
The degree d approximation of f(x) at x=a is
where Td(x) is the degree d Taylor polynomial of f(x) at x=a. When d=1 we get the linear approximation of f at x=a,
When d=2 we get the quadratic approximation of f at x=a,
Concept 7.4.3. The Taylor series.
In fact, we could try to send d→∞; that would give an “approximation” of f(x) at x=a by an “infinite degree polynomial”. This can be made rigorous using sequence and series; namely, taking d→∞ means taking the limit of the sequence of Taylor polynomials Td(x), and the result is the Taylor series of f(x) at x=a. Reversing the process, one can think of the Taylor polynomials above as truncations (so-called “partial sums”) of the Taylor series of f(x) at x=a.