Math Problem Statement

Apply three iterations of Newton's method to find an approximate solution of the equation e 1.6 x

1.3 + 1.6 cos 2 ( x ) e 1.6 x

1.3 + 1.6 cos 2 ( x ) .

Use an initial estimate of x 0

1.07

Solution

To apply Newton's method to find an approximate solution to the equation

e1.6x=1.3+1.6cos2(x),e^{1.6x} = 1.3 + 1.6 \cos^2(x),

we'll first rewrite this equation in the form suitable for Newton's method, which requires the equation to be set to zero:

f(x)=e1.6x1.31.6cos2(x).f(x) = e^{1.6x} - 1.3 - 1.6 \cos^2(x).

Newton's method uses the following iteration formula:

xn+1=xnf(xn)f(xn),x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)},

where f(x)f'(x) is the derivative of f(x)f(x).

Step 1: Calculate f(x)f(x) and f(x)f'(x)

First, compute the derivative f(x)f'(x):

f(x)=ddx(e1.6x1.31.6cos2(x)).f'(x) = \frac{d}{dx} \left(e^{1.6x} - 1.3 - 1.6 \cos^2(x) \right).

This simplifies to:

f(x)=1.6e1.6x+1.62cos(x)(sin(x))=1.6e1.6x3.2cos(x)sin(x).f'(x) = 1.6e^{1.6x} + 1.6 \cdot 2 \cos(x) (-\sin(x)) = 1.6e^{1.6x} - 3.2 \cos(x) \sin(x).

Thus,

f(x)=1.6e1.6x3.2cos(x)sin(x).f'(x) = 1.6e^{1.6x} - 3.2 \cos(x) \sin(x).

Step 2: Apply Newton's Method

We start with an initial estimate x0=1.07x_0 = 1.07.

Now, let's compute three iterations of Newton's method. I'll calculate the values step-by-step.After applying three iterations of Newton's method, the approximations for the solution are:

  1. x10.55496x_1 \approx 0.55496
  2. x20.56542x_2 \approx 0.56542
  3. x30.55329x_3 \approx 0.55329

These values are successive approximations that converge towards the solution of the equation.

Would you like a detailed explanation of each iteration, or do you have any other questions?

Further Exploration Questions:

  1. How does Newton's method work in terms of convergence speed?
  2. What would happen if we chose a different initial estimate x0x_0?
  3. Can Newton's method fail to converge, and under what conditions?
  4. How can we determine the accuracy of the approximate solution obtained?
  5. What are some alternative methods for solving nonlinear equations numerically?

Tip: Always choose an initial estimate close to the expected root for faster convergence in Newton's method.

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Math Problem Analysis

Mathematical Concepts

Numerical Methods
Calculus
Newton's Method

Formulas

Newton's method iteration formula: x_{n+1} = x_n - f(x_n)/f'(x_n)
Function: f(x) = e^{1.6x} - 1.3 - 1.6cos^2(x)
Derivative: f'(x) = 1.6e^{1.6x} - 3.2cos(x)sin(x)

Theorems

Newton's Method

Suitable Grade Level

Undergraduate