- 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 Integrals3h 25m
4. Applications of Derivatives
Differentials
Problem 4.8.13
Textbook Question
{Use of Tech} Finding roots with Newton’s method For the given function f and initial approximation x₀, use Newton’s method to approximate a root of f. Stop calculating approximations when two successive approximations agree to five digits to the right of the decimal point after rounding. Show your work by making a table similar to that in Example 1.
f(x) = x² - 10; x₀ = 3

1
Step 1: Understand Newton's Method. It is an iterative method to approximate the 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: Calculate the derivative of the function f(x) = x^2 - 10. The derivative, f'(x), is 2x.
Step 3: Use the initial approximation x₀ = 3. Calculate the first iteration using the formula: x₁ = x₀ - \frac{f(x₀)}{f'(x₀)}. Substitute x₀ = 3 into the formula to find x₁.
Step 4: Continue the iterative process. Use the result from the previous step as the new approximation. Calculate x₂ = x₁ - \frac{f(x₁)}{f'(x₁)}. Repeat this process until two successive approximations agree to five decimal places.
Step 5: Create a table to organize your calculations. The table should include columns for n (iteration number), x_n (current approximation), f(x_n), f'(x_n), and the next approximation x_{n+1}. Continue the iterations until the stopping criterion is met.
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