10-31-25 Taylor and Maclaurin Polynomials
Q1.
Binomial Series
Tee binomial expansion for is
where k is a positive integer greater than or equal to n, and the binomial coefficient is
While this formula for the binomial coefficient is usually used when k an n are nonnegative integers, we use this formula as our definition of for any real number k and nonnegative integer n.
Theorem 2. Algebra of Power Series
Let f(x) = \sum_{n=0}^\infty a_nx^n and g(x) = \sum_{n=0}^\infty b_nx^n with a common interval of convergence I. Then:
1. The power series for and can be added or subtracted to obtain a newer power series for their sum or difference with interval of convergence at least as large as I:
(f \pm g)(x) = f(x) \pm g(x) = \sum_{n=0}^\infty a_nx^n \pm \sum_{n=0}^\infty b_nx^n = \sum_{n=0}^\infty (a_n \pm b_n)x^n
2. The power series for and can be multiplied to obtain a new power series for their product with interval of convergence at least as large as I:
3. The power series for and can be divided provided to obtain a new power series for their quotient. The interval of convergence is generally difficult to determine
Example 57. Evaluate using the Maclaurin series for
Solution:
Since we can add and subtract convergent power series, we obtain
Taylor Polynomials and Remainders
When a Taylor series for convergent for all in an interval I, by definition it is also true that the sequence of partial sums {} associated with the Taylor series for also converges.
Notice that each is a sum of only a finite number of terms. It is a polynomial of degree at most n and is called the degree Taylor polynomial for centered at . If then the polynomial is called the degree Maclaurin polynomial for centered at .
Theorem 3. Taylor Series Representation of Functions
Let be a function which has a Taylor series about a. Let be the degree Taylor polynomial of f, and let If r>0 and for all , then
f(x) = \lim_{n\to\infty} T_n(x) = \sum_{n=0}^\infty \frac {f^{(n)}(a)(x-a)^n} {n!}
on . Hence, is represented by its Taylor series about a on the interval .
The work is to show that ; to do so, the following inequality is usually used.
Theorem 4. Taylor’s Inequality
Let M>0 and r>0. If for , then the remainder of the Taylor series satisfies the inequality
for all x such that
Example 60. Find the third degree Maclaurin polynomial of . Use to approximate the value of , and use the remainder to estimate the error in this approximation
Solution: Since
e^x =_{approx} T_3 (x) = \sum_{n=0}³ \frac {x^n} {n!} = 1 + \frac x{1!} + \frac {x²}{2!} + \frac {x³}{3!}
then
e^1 =_{approx} T_3 (1) = \sum_{n=0}³ \frac 1{n!} = \sum_{n=0}^\infty \frac 1{n!} + 1 + 1 + \frac 1{2!} + \frac 1{3!} = 2 \frac 23
The 4th derivative of is , and hence an upper bound for the 4th derivative on the interval is f^{(4)} (1) = e^1 < 3. Using the Taylor inequality we have:
for all
Hence . Putting these together we can determine that the exact value of is between T_3 (1) - |R_3(1) - |R_3 (1)| and . Hence
Example 63. Consider the function
Find the Maclaurin Polynomials and for f(x) = \sin x and plot all 4 function on the same plot on the interval
Calculate and and compare them to
Use to approximate