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Carry out one step of the Euler method and of the improved Euler method using the step size \(h=0.1 .\) Suppose that a local truncation error no greater than 0.0025 is required. Estimate the step size that is needed for the Euler method to satisfy this requirement at the first step. $$ y^{\prime}=\left(y^{2}+2 t y\right) /\left(3+t^{2}\right), \quad y(0)=0.5 $$

Short Answer

Expert verified
Using the Euler method, the first step approximation for the given differential equation is approximately y₁ ≈ 0.5083. For the Improved Euler method, the first step approximation is y₁ ≈ 0.5084. To achieve a local truncation error no greater than 0.0025, the step size required for the Euler method is approximately h ≈ 0.023.

Step by step solution

01

(1) Euler Method - First Step

Start with the differential equation \(y'(t) = \frac{y^2 + 2ty}{3+t^2}\), and apply the Euler method: $$y_{n+1} = y_n + hf(t_n, y_n),$$ where h = 0.1, \(f(t_n, y_n)\) is the value of the differential equation at the point \((t_n, y_n)\), and \((t_0, y_0) = (0, 0.5)\). First, calculate the value of the differential equation at the initial point, \(f(t_0, y_0) = f(0, 0.5) = \frac{(0.5)^2 + 2(0)(0.5)}{3 + (0)^2} = \frac{0.25}{3}\). Next, apply the Euler method with h = 0.1: $$y_1 = y_0 + 0.1\cdot f(t_0, y_0) = 0.5 + 0.1\cdot \frac{0.25}{3} \approx 0.5083.$$
02

(2) Improved Euler Method - First Step

Now, apply the Improved Euler method (also known as Heun's method). The formula for the improved Euler method is: $$y_{n+1} = y_n + \frac{h}{2}\left( f(t_n, y_n) + f(t_{n+1}, y_n+hf(t_n, y_n)) \right).$$ Use the previous result, \(f(t_0, y_0) = \frac{0.25}{3}\), and calculate \(f(t_1, y_1) = f(0.1, 0.5083) \approx \frac{(0.5083)^2 + 2(0.1)(0.5083)}{3 + (0.1)^2}\). Finally, apply the Improved Euler Method: $$y_1 \approx 0.5 + \frac{0.1}{2}\left( \frac{0.25}{3} \right) \approx 0.5084$$.
03

(3) Determine step size for required local truncation error

A local truncation error no greater than 0.0025 is required. The local truncation error for the Euler method can be estimated as: $$\text{Local Truncation Error} \approx \frac{hL}{2}|y(t_1) - y_0|,$$ where L is the Lipschitz constant. First, we need to find L. To do so, compute the partial derivative of the differential equation with respect to y: $$\frac{\partial f}{\partial y} = \frac{2y (3 + t^2) - 2yt (y^2 + 2ty)}{(3+t^2)^2}$$. Notice that the maximum value of the denominator occurs when t = 0, that is: $$(3+t^2)^2 \geq 3^2 = 9$$. Now, we estimate the maximum value of the numerator. Since \(y_0 = 0.5\), \(t=0\), we can find it as follows: $$\max_{0\leq y \leq y_1} |2y (3 + t^2) - 2yt (y^2 + 2ty)| \leq |2y_1 (3 + 0) - 2y_1^2|$$. So, we can estimate L as: $$L \leq \frac{|2y_1 (3) - 2y_1^2|}{9}$$. Now, plug L into the formula for the local truncation error and solve for h: $$0.0025 \geq \frac{hL}{2}|y_1 - y_0| \Rightarrow h \leq \frac{0.005}{L|y_1-y_0|}$$. Use the previous result and plug in the estimated L to find the appropriate step size h: $$h \leq \frac{0.005}{\frac{|2y_1 (3) - 2y_1^2|}{9}|y_1-y_0|} \approx 0.023$$. As such, the step size required to satisfy the local truncation error requirement is approximately h ≈ 0.023.

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Most popular questions from this chapter

Obtain a formula for the local truncation error for the Euler method in terms of \(t\) and the solution \(\phi\) $$ y^{\prime}=\sqrt{t+y}, \quad y(1)=3 $$

Consider the initial value problem $$ y^{\prime}=t^{2}+e^{y}, \quad y(0)=0 $$ Using the Runge-Kutta method with step size \(h,\) we obtain the results in Table \(8.5 .\) These results suggest that the solution has a vertical asymptote between \(t=0.9\) and \(t=1.0 .\) (a) Show that for \(0 \leq t \leq 1\) the solution \(y=\phi(t)\) of the problem (i) satisfies $$ \phi_{2}(t) \leq \phi(t) \leq \phi_{1}(t) $$ where \(y=\phi_{1}(t)\) is the solution of $$ y^{\prime}=1+e^{y}, \quad y(0)=0 $$ and \(y=\phi_{2}(t)\) is the solution of $$ y^{\prime}=e^{y}, \quad y(0)=0 $$ (b) Determine \(\phi_{1}(t)\) and \(\phi_{2}(t) .\) Then show that \(\phi(t) \rightarrow \infty\) for some \(t\) between \(t=\ln 2 \cong\) 0.69315 and \(t=1 .\) (c) Solve the differential equations \(y^{\prime}=e^{y}\) and \(y^{\prime}=1+e^{y},\) respectively, with the initial condition \(y(0.9)=3.4298 .\) Use the results to show that \(\phi(t) \rightarrow \infty\) when \(t \cong 0.932 .\)

Show that the modified Euler formula of Problem 22 is identical to the improved Euler formula of \(\mathrm{Eq} .(5)\) for \(y^{\prime}=f(t, y)\) if \(f\) is linear in both \(t\) and \(y .\)

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Consider the initial value problem $$ y^{\prime}=3 t^{2} /\left(3 y^{2}-4\right), \quad y(0)=0 $$ (a) Draw a direction field for this equation. (b) Estimate how far the solution can extended to the right. Let \(t_{1 / 4}\) be the right endpoint of the interval of existence of this solution. What happens at \(t_{M}\) to prevent the solution from continuing farther? (c) Use the Runge-Kutta method with various step sizes to determine an approximate value of \(t_{M}\). (d) If you continue the computation beyond \(t_{\mathrm{H}}\), you can continue to generate values of \(y .\) What significance, if any, do these values have? (e) Suppose that the initial condition is changed to \(y(0)=1 .\) Repeat parts (b) and (c) for this problem.

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