Find an dy dx approximation of y(1) using Euler's Method and h=.2 for y(0)=1 = 4x-3y

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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
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### Differential Equation Approximation Using Euler's Method

**Problem Statement:**

Find an approximation of \( y(1) \) using Euler's Method with step size \( h = 0.2 \) for the differential equation:

\[
\frac{dy}{dx} = 4x - 3y
\]

with the initial condition:

\[
y(0) = 1
\]

### Explanation:

**Euler's Method:**

Euler's Method is an iterative approach to approximate solutions of first-order initial-value differential equations of the form \( \frac{dy}{dx} = f(x, y) \) with a given initial condition \( y(x_0) = y_0 \). The basic formula used in Euler's Method for a step size \( h \) is:

\[
y_{n+1} = y_n + h f(x_n, y_n)
\]

where \( y_{n+1} \) is the next value of \( y \), \( y_n \) is the current value of \( y \), and \( f(x_n, y_n) \) is the value of the differential equation evaluated at the current point \( (x_n, y_n) \).

Here, we are given:

\[
\frac{dy}{dx} = 4x - 3y \quad \text{and} \quad y(0) = 1
\]

We want to find \( y(1) \) using a step size \( h = 0.2 \).

### Steps of Calculation:

1. **Initialization:**
   \[
   x_0 = 0, \quad y_0 = 1, \quad h = 0.2
   \]

2. **Iteration 1:**
   \[
   y_1 = y_0 + h (4x_0 - 3y_0)
   \]
   \[
   y_1 = 1 + 0.2 (4(0) - 3(1))
   \]
   \[
   y_1 = 1 - 0.6
   \]
   \[
   y_1 = 0.4
   \]
   \[
   x_1 = x_0 + h = 0 + 0.2 = 0.2
   \]

3. **Iteration 2:**
Transcribed Image Text:### Differential Equation Approximation Using Euler's Method **Problem Statement:** Find an approximation of \( y(1) \) using Euler's Method with step size \( h = 0.2 \) for the differential equation: \[ \frac{dy}{dx} = 4x - 3y \] with the initial condition: \[ y(0) = 1 \] ### Explanation: **Euler's Method:** Euler's Method is an iterative approach to approximate solutions of first-order initial-value differential equations of the form \( \frac{dy}{dx} = f(x, y) \) with a given initial condition \( y(x_0) = y_0 \). The basic formula used in Euler's Method for a step size \( h \) is: \[ y_{n+1} = y_n + h f(x_n, y_n) \] where \( y_{n+1} \) is the next value of \( y \), \( y_n \) is the current value of \( y \), and \( f(x_n, y_n) \) is the value of the differential equation evaluated at the current point \( (x_n, y_n) \). Here, we are given: \[ \frac{dy}{dx} = 4x - 3y \quad \text{and} \quad y(0) = 1 \] We want to find \( y(1) \) using a step size \( h = 0.2 \). ### Steps of Calculation: 1. **Initialization:** \[ x_0 = 0, \quad y_0 = 1, \quad h = 0.2 \] 2. **Iteration 1:** \[ y_1 = y_0 + h (4x_0 - 3y_0) \] \[ y_1 = 1 + 0.2 (4(0) - 3(1)) \] \[ y_1 = 1 - 0.6 \] \[ y_1 = 0.4 \] \[ x_1 = x_0 + h = 0 + 0.2 = 0.2 \] 3. **Iteration 2:**
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