Problem 35
Question
(a) Find and multiply the Taylor polynomials of degree 1 near \(x=0\) for the two functions \(f(x)=1 /(1-x)\) and \(g(x)=1 /(1-2 x)\) (b) Find the Taylor polynomial of degree 2 near \(x=0\) for the function \(h(x)=f(x) g(x)\) (c) Is the product of the Taylor polynomials for \(f(x)\) and \(g(x)\) equal to the Taylor polynomial for the function \(h(x) ?\)
Step-by-Step Solution
Verified Answer
No, the product of the Taylor polynomials is not equal to the Taylor polynomial for \( h(x) \).
1Step 1: Write the Taylor Polynomial for f(x)
The function given is \( f(x) = \frac{1}{1-x} \). The Taylor series expansion for \( f(x) \) is: \[ f(x) = 1 + x + x^2 + x^3 + \ldots \]For degree 1, the polynomial is: \[ T_1(f) = 1 + x \]
2Step 2: Write the Taylor Polynomial for g(x)
The function given is \( g(x) = \frac{1}{1-2x} \). The Taylor series expansion for \( g(x) \) is: \[ g(x) = 1 + 2x + (2x)^2 + (2x)^3 + \ldots \]For degree 1, the polynomial is: \[ T_1(g) = 1 + 2x \]
3Step 3: Multiply the Taylor Polynomials of f(x) and g(x)
Now, multiply the degree 1 Taylor polynomials obtained:\[ T_1(f) \times T_1(g) = (1 + x)(1 + 2x) \]Expand the expression:\[ = 1 + 2x + x + 2x^2 = 1 + 3x + 2x^2 \]
4Step 4: Write Taylor Polynomial for h(x) = f(x)g(x)
Now, find the Taylor polynomial of degree 2 for \( h(x) = f(x)g(x) \). Since \( f(x) = \frac{1}{1-x} \) and \( g(x) = \frac{1}{1-2x} \), we multiply their expansions:- \( f(x) \) up to degree 2: \( 1 + x + x^2 \)- \( g(x) \) up to degree 2: \( 1 + 2x + 4x^2 \)Multiply these:\[ h(x) = (1 + x + x^2)(1 + 2x + 4x^2) \]Multiply each term and collect terms up to \(x^2\):\[ = 1 + 2x + 4x^2 + x + 2x^2 + 4x^3 + x^2 + 4x^3 + x^3 \]Simplify:\[ = 1 + 3x + 7x^2 \]
5Step 5: Compare the Products
The degree 2 polynomial for \( h(x) = f(x)g(x) \) is \( 1 + 3x + 7x^2 \), while the polynomial obtained by multiplying the degree 1 polynomials of \( f(x) \) and \( g(x) \) is \( 1 + 3x + 2x^2 \). Clearly, these two polynomials are not equal.
Key Concepts
Polynomial MultiplicationDegree of PolynomialsTaylor Series Expansion
Polynomial Multiplication
Polynomial multiplication is an important technique used to combine polynomials by multiplying each term of one polynomial by each term of another. Imagine you have two simple polynomials, like our Taylor polynomials from the exercise: you want to multiply
- \( T_1(f) = 1 + x \)
- \( T_1(g) = 1 + 2x \)
- First, multiply \(1\) from \(T_1(f)\) with each term in \(T_1(g)\): \( 1 imes 1 + 1 imes 2x \).
- Next, multiply \(x\) from \(T_1(f)\) with each term in \(T_1(g)\): \( x imes 1 + x imes 2x \).
Degree of Polynomials
In polynomial expressions, the degree of a polynomial is the highest power of the variable within the expression. For instance, in the polynomial \( 1 + 3x + 7x^2 \), the degree is \(2\) because it is the highest exponent on the variable \(x\).
To determine the degree, simply look for the term with the largest exponent:
To determine the degree, simply look for the term with the largest exponent:
- \( 1 + x \) has a degree of \(1\), since \(x\) is the highest power.
- \( 1 + 3x + 7x^2 \) has a degree of \(2\), as we previously noted.
Taylor Series Expansion
The Taylor series expansion is a method to represent functions as infinite sums of terms calculated from the values of their derivatives at a single point. It's a powerful tool to approximate functions, particularly around a point like \( x = 0 \), which is often referred to as expansion around "a = 0."
For example,
For example,
- \( f(x) = \frac{1}{1-x} \) can be expanded to \( 1 + x + x^2 + x^3 + \cdots \).
- \( g(x) = \frac{1}{1-2x} \) can be expanded to \( 1 + 2x + (2x)^2 + (2x)^3 + \cdots \).
Other exercises in this chapter
Problem 34
(a) Find the Taylor series for \(f(t)=t e^{t}\) about \(t=0\) (b) Using your answer to part (a), find a Taylor series expansion about \(x=0\) for 1 $$ \int_{0}^
View solution Problem 35
Give an example of: A function, \(f(x)\), with period \(2 \pi\) whose Fourier series has no cosine terms.
View solution Problem 35
$$\text { Find the sum of } \sum_{n=1}^{\infty} \frac{k^{n-1}}{(n-1) !} e^{-k}$$
View solution Problem 36
Give an example of: True or false? If \(f\) is an even function, then the Fourier series for \(f\) on \([-\pi, \pi]\) has only cosines. Explain your answer.
View solution