give answer in 2 step with explanation at the end of each step and final answer at the end:229
Given the initial conditions y(0) = 1 and (0) = 0, find the solution of the following initial value
problem for ¢ from 0 to 4:
dy
pad -0
dat? +o
Obtain the solution using:
(a) Euler's method and
(b) the 4th-order Runge-Kutta (RK4) method.
In both methods, use a step size of 0.1. Plot the results on the same graph along with the exact solution
y = cos(3t).
Question:
give answer in 2 step with explanation at the end of each step and final answer at the end:229
Given the initial conditions y(0) = 1 and (0) = 0, find the solution of the following initial value
problem for ¢ from 0 to 4:
dy
pad -0
dat? +o
Obtain the solution using:
(a) Euler's method and
(b) the 4th-order Runge-Kutta (RK4) method.
In both methods, use a step size of 0.1. Plot the results on the same graph along with the exact solution
y = cos(3t).
This is AI generated Response.
Asked by: Ratan
Created at: 2025-06-19 05:39:47
Final Answer:
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Let's solve the problem in **2 steps** as requested:
---
### **Step 1: Convert the Second Order ODE to First Order System**
Given:
\[
\frac{d^2y}{dt^2} + 9y = 0
\]
Let \( y_1 = y \) and \( y_2 = \frac{dy}{dt} \).
Then:
\[
\frac{dy_1}{dt} = y_2
\]
\[
\frac{dy_2}{dt} = -9y_1
\]
So, the system becomes:
\[
\begin{cases}
\frac{dy_1}{dt} = y_2 \\
\frac{dy_2}{dt} = -9y_1
\end{cases}
\]
With initial conditions:
- \( y_1(0) = 1 \)
- \( y_2(0) = 0 \)
**Explanation:**
This step rewrites the second-order ODE as a system of two first-order ODEs, which is necessary for both Euler's and RK4 methods.
---
### **Step 2: Numerical Solution Using Euler's and RK4 Methods**
#### **(a) Euler's Method**
Let step size \( h = 0.1 \).
Euler's update formulas:
\[
y_{1,n+1} = y_{1,n} + h \cdot y_{2,n}
\]
\[
y_{2,n+1} = y_{2,n} + h \cdot (-9y_{1,n})
\]
#### **(b) RK4 Method**
RK4 updates for system:
For each step, compute the increments:
\[
k_{1,1} = h f_1(t_n, y_{1,n}, y_{2,n}) = h y_{2,n}
\]
\[
k_{1,2} = h f_2(t_n, y_{1,n}, y_{2,n}) = h (-9 y_{1,n})
\]
\[
k_{2,1} = h f_1(t_n + \frac{h}{2}, y_{1,n} + \frac{k_{1,1}}{2}, y_{2,n} + \frac{k_{1,2}}{2})
\]
\[
k_{2,2} = h f_2(t_n + \frac{h}{2}, y_{1,n} + \frac{k_{1,1}}{2}, y_{2,n} + \frac{k_{1,2}}{2})
\]
\[
k_{3,1} = h f_1(t_n + \frac{h}{2}, y_{1,n} + \frac{k_{2,1}}{2}, y_{2,n} + \frac{k_{2,2}}{2})
\]
\[
k_{3,2} = h f_2(t_n + \frac{h}{2}, y_{1,n} + \frac{k_{2,1}}{2}, y_{2,n} + \frac{k_{2,2}}{2})
\]
\[
k_{4,1} = h f_1(t_n + h, y_{1,n} + k_{3,1}, y_{2,n} + k_{3,2})
\]
\[
k_{4,2} = h f_2(t_n + h, y_{1,n} + k_{3,1}, y_{2,n} + k_{3,2})
\]
Then:
\[
y_{1,n+1} = y_{1,n} + \frac{1}{6}(k_{1,1} + 2k_{2,1} + 2k_{3,1} + k_{4,1})
\]
\[
y_{2,n+1} = y_{2,n} + \frac{1}{6}(k_{1,2} + 2k_{2,2} + 2k_{3,2} + k_{4,2})
\]
**Explanation:**
This step gives the explicit update rules for both numerical methods, ready for implementation with the given step size and interval.
---
### **Final Answer:**
- Use the above update formulas to numerically solve for \( y \) from \( t=0 \) to \( t=4 \), with \( y(0)=1 \), \( y'(0)=0 \), and step size \( h=0.1 \).
- Plot the results for both methods and compare with the exact solution \( y(t) = \cos(3t) \).
---
**Summary:**
1. **Converted the second-order ODE to a first-order system.**
2. **Outlined Euler's and RK4 methods to solve the system numerically, ready for coding and plotting.**
Let me know if you want the Python code for implementation and plotting!
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