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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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### Lecture 3.2: Estimating √3 Using the Bisection Method (Up to 3 Iterations)

---

#### Objective:
Estimate \(\sqrt{3}\) (root 3) using the Bisection Method, up to 3 iterations.

Given:
- \(\sqrt{3} \approx x_3\)
- Using \( a = 1 \) and \( b = 2 \)

#### Theory (Intermediate Value Theorem):

**Intermediate Value Theorem (IVT):**

Let \( f(x) \) be continuous on the interval \([a, b]\), and assume that \( f(a) \cdot f(b) < 0 \). Then, there exists a number \( c \) in the interval \((a, b)\) such that \( f(c) = 0 \).

In mathematical notation:
\[ \exists c \in (a, b) \ \text{such that} \ f(c) = 0 \]
where \( c \) is a root for \( f(x) \).

---

#### Steps:

1. **Choose Initial Interval:** 
   - Initial interval is chosen as \([1, 2]\).
   
2. **Apply the Bisection Method:** 
   - Use the properties of the function’s continuity and the Intermediate Value Theorem to iteratively narrow down the interval to identify the root.

3. **Iterations:**
   - Perform the bisection method for up to 3 iterations to estimate \(\sqrt{3}\).

---

By leveraging the above principles and steps, one can estimate \(\sqrt{3}\) effectively using the bisection method. Each iteration will successively narrow the interval where the root lies, thus improving the accuracy of the estimate.
Transcribed Image Text:### Lecture 3.2: Estimating √3 Using the Bisection Method (Up to 3 Iterations) --- #### Objective: Estimate \(\sqrt{3}\) (root 3) using the Bisection Method, up to 3 iterations. Given: - \(\sqrt{3} \approx x_3\) - Using \( a = 1 \) and \( b = 2 \) #### Theory (Intermediate Value Theorem): **Intermediate Value Theorem (IVT):** Let \( f(x) \) be continuous on the interval \([a, b]\), and assume that \( f(a) \cdot f(b) < 0 \). Then, there exists a number \( c \) in the interval \((a, b)\) such that \( f(c) = 0 \). In mathematical notation: \[ \exists c \in (a, b) \ \text{such that} \ f(c) = 0 \] where \( c \) is a root for \( f(x) \). --- #### Steps: 1. **Choose Initial Interval:** - Initial interval is chosen as \([1, 2]\). 2. **Apply the Bisection Method:** - Use the properties of the function’s continuity and the Intermediate Value Theorem to iteratively narrow down the interval to identify the root. 3. **Iterations:** - Perform the bisection method for up to 3 iterations to estimate \(\sqrt{3}\). --- By leveraging the above principles and steps, one can estimate \(\sqrt{3}\) effectively using the bisection method. Each iteration will successively narrow the interval where the root lies, thus improving the accuracy of the estimate.
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