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Let \(f(t)\) be the solution of \(y^{\prime}=-(t+1) y^{2}, y(0)=1\). Use Euler's method with \(n=5\) to estimate \(f(1) .\) Then, solve the differential equation, find an explicit formula for \(f(t)\) and compute \(f(1)\). How accurate is the estimated value of \(f(1)\) ?

Short Answer

Expert verified
Euler method y(1) ≈ 0.4464 ;Explicit solution y(1)≈2

Step by step solution

01

- Understand the Problem

We need to estimate the value of the function \(f(t)\) at \(t=1\) using Euler's method, then find the explicit solution to the differential equation and compare the results.
02

- Understand Euler's Method

Euler's method updates the solution using the formula: y_{n+1} = y_n + h \times f(t_n, y_n)where \(h\) is the step size, \(n\) is the number of steps, and \(f(t, y)\) is the derivative function.
03

- Determine Step Size

Since we need to estimate \(f(1)\) with \(n=5\), the step size \(h\) can be calculated as: h = \frac{t_{\text{end}} - t_{\text{start}}}{n} = \frac{1-0}{5} = 0.2
04

- Apply Euler's Method

Using \(h=0.2\) and \(y'=-(t+1)y^2\), we iteratively compute the values of \(y\).y_0 = y(0) = 1t_0 = 0t_1 = t_0 + h = 0.2y_1 = y_0 + h \times (- (t_0 + 1) \times y_0^2)= 1 + 0.2 \times (- (0 + 1) \times 1^2) = 1 + 0.2 \times (-1) = 0.8Continuing to iterate:t_2 = t_1 + h = 0.4y_2 = y_1 + h \times (-(t_1 + 1) \times y_1^2) = 0.8 + 0.2 \times (-(0.2 + 1) \times 0.8^2) = 0.6672t_3 = t_2 + h = 0.6y_3 = y_2 + h \times (-(t_2 + 1) \times y_2^2) = 0.6672 + 0.2 \times (-(0.4 + 1) \times 0.6672^2) = 0.5713t_4 = t_3 + h = 0.8y_4 = y_3 + h \times (-(t_3 + 1) \times y_3^2) = 0.5713 + 0.2 \times (-(0.6 + 1) \times 0.5713^2) = 0.4999t_5 = t_4 + h = 1y_5 = y_4 + h \times (-(t_4 + 1) \times y_4^2) = 0.4999 + 0.2 \times (-(0.8 + 1) \times 0.4999^2) = 0.4464Thus, the Euler's method estimate for \(f(1) = y_5\) is approximately 0.4464
05

- Solve the Differential Equation

To solve the differential equation analytically, integrate it:dy /( -y^2) = (t+1) dtIntegrate both sides:dy /( -y^2) = ∫ (-(y^{-2})) dy = ∫ (t + 1) dt simplifies to y^{-1} = (-\frac{(t-1)t}{2}) + cUsing initial condition \( y(0) = 1 \) 1 = c \therefore \frac(1){y} = (-\frac(t^2){2}+ 1-t). Rearrange to get: y(t)= (2c)/(2c-(t^{2}-2t)),Where c=1/2 substituting we get= y = \frac {1} {1+t^2/2-1}) the substituting value 1 we get y(1)=2
06

- Compare Results

Using Euler's method, \(f(1) \rightarrow 0.4464\) ; Using explicit solution method \(f(1)\rightarrow 2\)

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Differential Equations
A differential equation relates a function to its derivatives, showing how the function changes. In our exercise, we have the differential equation: \( y' = -(t + 1)y^2 \). This is a first-order nonlinear differential equation. The goal is to find a function \( y(t) \) that satisfies this equation and also meets the initial condition given, which is \( y(0) = 1 \). When dealing with differential equations, we often seek either an explicit analytic solution or an approximate numerical solution.
Numerical Methods
Numerical methods are techniques to solve mathematical problems approximately, rather than obtaining exact solutions. When exact solutions are complex or impossible to find, numerical methods provide a powerful alternative. Euler's Method is one popular numerical technique used for solving differential equations. In Euler's Method, we approximate the solution iteratively using a given step size and initial conditions. For example, given the differential equation: \( y' = -(t + 1)y^2 \), initial condition \( y(0) = 1 \), and with \( n = 5 \) steps to estimate \( f(1) \), Euler’s method approximates the function by taking small steps along the curve and updating the value of \( y \) progressively.
Explicit Solution
An explicit solution is a direct formula for the dependent variable, expressed in terms of independent variables. For our differential equation, solving analytically, we integrate both sides: \( \int dy / {-(y^2)} = \int (t + 1) dt \). Upon integration and using the initial condition, we find: \( y(t) = \frac{1}{ (t + 1)t^2/2 } \). This explicit solution is precise and directly computes \( y(t) \) for any \( t \). When comparing this to Euler’s Method, we observe that the exact value at \( t = 1 \) is 2, while Euler’s Method estimated \( 0.4464 \). This discrepancy highlights how numerical methods provide approximate and sometimes less accurate results but are essential when explicit solutions are hard to verify or obtain.

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