Chapter 5: Problem 4
In the following exercises, find the Taylor polynomials of degree two approximating the given function centered at the given point. $$ f(x)=\sin (2 x) \text { at } a=\frac{\pi}{2} $$
Short Answer
Expert verified
The Taylor polynomial of degree two is \( P_2(x) = -2x + \pi \).
Step by step solution
01
Understand the Taylor Polynomial Formula
The Taylor polynomial of degree two for a function \( f(x) \) centered at \( a \) is given by:\[P_2(x) = f(a) + f'(a)(x - a) + \frac{f''(a)}{2!}(x - a)^2\]We need to find \( f(a) \), \( f'(a) \), and \( f''(a) \) to construct the Taylor polynomial.
02
Calculate \( f(a) \)
First, substitute \( a = \frac{\pi}{2} \) into the function:\[f\left( \frac{\pi}{2} \right) = \sin\left( 2 \times \frac{\pi}{2} \right) = \sin(\pi) = 0\]So, \( f(a) = 0 \).
03
Find the First Derivative and Evaluate at \( a \)
The first derivative of \( f(x) = \sin(2x) \) is:\[f'(x) = 2\cos(2x)\]Next, evaluate at \( a = \frac{\pi}{2} \):\[f'\left( \frac{\pi}{2} \right) = 2\cos\left( 2 \times \frac{\pi}{2} \right) = 2\cos(\pi) = -2\]Therefore, \( f'(a) = -2 \).
04
Find the Second Derivative and Evaluate at \( a \)
The second derivative of \( f(x) = \sin(2x) \) is:\[f''(x) = -4\sin(2x)\]Now, evaluate at \( a = \frac{\pi}{2} \):\[f''\left( \frac{\pi}{2} \right) = -4\sin\left( 2 \times \frac{\pi}{2} \right) = -4\sin(\pi) = 0\]Thus, \( f''(a) = 0 \).
05
Construct the Taylor Polynomial of Degree Two
Now, substitute \( f(a) = 0 \), \( f'(a) = -2 \), and \( f''(a) = 0 \) into the Taylor polynomial formula:\[P_2(x) = 0 + (-2)(x - \frac{\pi}{2}) + \frac{0}{2!}(x - \frac{\pi}{2})^2\]Simplify the expression:\[P_2(x) = -2(x - \frac{\pi}{2}) = -2x + \pi\]
06
Write the Final Result
The Taylor polynomial of degree two for \( f(x) = \sin(2x) \) centered at \( a = \frac{\pi}{2} \) is:\[P_2(x) = -2x + \pi\]
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Degree Two Polynomial
A degree two polynomial is essentially a quadratic expression. It takes the form
This is particularly useful in calculus because it allows us to approximate complex functions using simpler polynomials. For a degree two Taylor polynomial, we use a quadratic formula, which involves the function value at the center and its first two derivatives. This gives a parabola-like approximation.In our exercise with \( f(x) = \sin (2x) \), we centered the polynomial at \( a = \frac{\pi}{2} \). The Taylor polynomial of degree two for this function was derived using the formula
- \( ax^2 + bx + c \)
This is particularly useful in calculus because it allows us to approximate complex functions using simpler polynomials. For a degree two Taylor polynomial, we use a quadratic formula, which involves the function value at the center and its first two derivatives. This gives a parabola-like approximation.In our exercise with \( f(x) = \sin (2x) \), we centered the polynomial at \( a = \frac{\pi}{2} \). The Taylor polynomial of degree two for this function was derived using the formula
- \( P_2(x) = f(a) + f'(a)(x - a) + \frac{f''(a)}{2!}(x - a)^2 \)
Function Approximation
Function approximation is the process of finding a simpler function that closely mimics the behavior of a more complex one. This is particularly beneficial in the analysis of mathematical and real-world functions, where precise calculations are not feasible.
In calculus, Taylor polynomials are a powerful tool for approximating functions near a point. They allow us to estimate the value of functions that could otherwise be cumbersome or impossible to compute directly.Using Taylor polynomials for approximation offers several advantages:
In calculus, Taylor polynomials are a powerful tool for approximating functions near a point. They allow us to estimate the value of functions that could otherwise be cumbersome or impossible to compute directly.Using Taylor polynomials for approximation offers several advantages:
- Simplifies calculations by using basic algebraic expressions instead of complex functions.
- Maintains the function’s essential features close to the expansion point, like slope and concavity.
- Provides a method to evaluate functions where using exact values might be overly time-consuming or difficult.
Taylor Series Expansion
The Taylor series expansion is a method for expressing a function as an infinite sum of terms calculated from its derivatives at a single point. This concept extends the Taylor polynomial idea to an infinite degree, aiming for ever-closer approximation.A Taylor series can be written as:
For many functions and applications, especially when \( x \) is very close to \( a \), a Taylor polynomial with a few terms can offer significant insight.
The approximation's accuracy improves with both more terms and smaller intervals from the center.
Although, for most practical purposes, the first few derivatives can be sufficient if you're only interested in a local approximation or if computational efficiency is a consideration.
- \( f(x) = f(a) + f'(a)(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \frac{f'''(a)}{3!}(x-a)^3 + \ldots \)
For many functions and applications, especially when \( x \) is very close to \( a \), a Taylor polynomial with a few terms can offer significant insight.
The approximation's accuracy improves with both more terms and smaller intervals from the center.
Although, for most practical purposes, the first few derivatives can be sufficient if you're only interested in a local approximation or if computational efficiency is a consideration.