Table of contents
- 0. Functions7h 52m
- Introduction to Functions16m
- Piecewise Functions10m
- Properties of Functions9m
- Common Functions1h 8m
- Transformations5m
- Combining Functions27m
- Exponent rules32m
- Exponential Functions28m
- Logarithmic Functions24m
- Properties of Logarithms34m
- Exponential & Logarithmic Equations35m
- Introduction to Trigonometric Functions38m
- Graphs of Trigonometric Functions44m
- Trigonometric Identities47m
- Inverse Trigonometric Functions48m
- 1. Limits and Continuity2h 2m
- 2. Intro to Derivatives1h 33m
- 3. Techniques of Differentiation3h 18m
- 4. Applications of Derivatives2h 38m
- 5. Graphical Applications of Derivatives6h 2m
- 6. Derivatives of Inverse, Exponential, & Logarithmic Functions2h 37m
- 7. Antiderivatives & Indefinite Integrals1h 26m
- 8. Definite Integrals4h 44m
- 9. Graphical Applications of Integrals2h 27m
- 10. Physics Applications of Integrals 2h 22m
4. Applications of Derivatives
Differentials
Problem 4.8.21
Textbook Question
{Use of Tech} Finding all roots Use Newton’s method to find all the roots of the following functions. Use preliminary analysis and graphing to determine good initial approximations.
f(x) = cos 2x - x² + 2x

1
Step 1: Understand Newton's Method. Newton's method is an iterative numerical technique used to find approximate roots of a real-valued function. The formula for Newton's method is: x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)}.
Step 2: Perform a preliminary analysis of the function f(x) = cos(2x) - x^2 + 2x. Analyze the behavior of the function by considering its components: cos(2x), -x^2, and 2x. Consider the range and periodicity of cos(2x) and the parabolic nature of -x^2 + 2x.
Step 3: Graph the function f(x) = cos(2x) - x^2 + 2x to visually identify potential roots. Look for points where the graph crosses the x-axis, as these are the approximate locations of the roots.
Step 4: Choose initial approximations for the roots based on the graph. These initial guesses should be close to where the graph crosses the x-axis. For example, if the graph suggests roots near x = a and x = b, use these as starting points.
Step 5: Apply Newton's method iteratively for each initial approximation. Calculate the derivative f'(x) = -2sin(2x) - 2x + 2. Use the formula x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)} to update the approximation until the change is sufficiently small, indicating convergence to a root.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Newton's Method
Newton's Method is an iterative numerical technique used to find approximate roots of a real-valued function. It starts with an initial guess and refines it using the formula x_{n+1} = x_n - f(x_n)/f'(x_n), where f' is the derivative of f. This method converges quickly if the initial guess is close to the actual root, making it effective for functions that are differentiable.
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Preliminary Analysis
Preliminary analysis involves examining the function's behavior to identify potential roots before applying numerical methods. This can include evaluating the function at various points, analyzing its continuity, and determining intervals where the function changes sign, which indicates the presence of roots according to the Intermediate Value Theorem.
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Graphing Functions
Graphing functions provides a visual representation of their behavior, helping to identify roots, intercepts, and critical points. By plotting the function, one can observe where it crosses the x-axis, indicating the roots, and assess the function's overall shape, which aids in selecting appropriate initial approximations for methods like Newton's.
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