Solution to Asymptotic ODE System for Small ε: x and y Expressions

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In summary, the given system of equations can be solved using the method of expansion for small values of epsilon. The resulting solutions for x and y can be expressed as a sum of terms with increasing powers of epsilon. The final approximations for x and y can be compared to the exact solution of the system.
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Homework Statement


Find through ##O(\epsilon)##, for ##\epsilon \ll 1##, the solution to the system $$\epsilon x'(t) = -x+y\\
\epsilon y'(t) = -(\epsilon+1)y+x$$

Homework Equations


##x = \sum x_n\epsilon^n## and ##y = \sum y_n\epsilon^n##

The Attempt at a Solution


Substituting the ##\epsilon## expansions of ##x## and ##y## into the governing ODE's yields the same equation for ##x## and ##y## equations:
$$O(1): x_0 = y_0.$$
The next two ODE's are
$$O(\epsilon)\: x: x_0'(t) + x_1(t) - y_1(t) = 0\\
O(\epsilon)\: y: y_0'(t) - x_1 + y_0 + y_1 = 0$$
Summing these two ODE's yields
$$O(\epsilon): x_0'+y_0' + y_0 = 0\implies\\
2y_0'+y_0=0\implies \boxed{x_0=y_0=A\exp(-t/2)}.$$
The next two ODE's are
$$O(\epsilon^2)\: x: x_1' + x_2 - y_2 = 0\\
O(\epsilon^2)\: y: y_1' - x_2 + y_1 + y_2 = 0.$$
Summing these two ODE's yields
$$O(\epsilon^2): y_1'+x_1' + y_1 = 0$$

From ##O(1)## equation ##x## we see that ##x_0'(t) + x_1(t) - y_1(t) = 0 \implies x_1'=y_1'-x_0''##. Substituting this into the summed equation for ##O(\epsilon^2)## yields
$$O(\epsilon^2):2 y_1'+ y_1 = x_0''\implies\\
\boxed{y_1 = \frac{1}{8} A t \exp(-t/2) + B\exp(-t/2)}.$$
The ##O(\epsilon)## equation in ##x## states ##x_0' + x_1 - y_1 = 0 \implies x_1=y_1-x_0'## which implies
$$\boxed{x_1 = \frac{1}{8} \exp(-t/2) (8 B + A (4 + t))}.$$

How does this look so far?
 
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  • #2
Note that the original system of equations is easily solved exactly. You could compare the approximation to the exact solution.
 
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What is the purpose of finding a solution to an asymptotic ODE system for small ε?

The purpose of finding a solution to an asymptotic ODE system for small ε is to better understand the behavior of a system as the parameter ε approaches zero. This can help in predicting the long-term behavior of the system and identifying any critical points or stability issues.

What are the main challenges in finding a solution to an asymptotic ODE system for small ε?

One of the main challenges in finding a solution to an asymptotic ODE system for small ε is the potential for the system to exhibit chaotic behavior or sensitive dependence on initial conditions. This can make it difficult to accurately predict the behavior of the system as ε approaches zero.

How are x and y expressions derived in the solution to an asymptotic ODE system for small ε?

The expressions for x and y are typically derived using perturbation methods, such as the method of multiple scales or the method of averaging. These methods involve expanding the solution in a series and solving for the coefficients using the ODE system and boundary conditions.

What assumptions are typically made in finding a solution to an asymptotic ODE system for small ε?

Some common assumptions made in finding a solution to an asymptotic ODE system for small ε include the system being autonomous, the existence of a small parameter ε, and the system being well-behaved (i.e. no discontinuities or singularities).

How can the solution to an asymptotic ODE system for small ε be useful in practical applications?

The solution to an asymptotic ODE system for small ε can be useful in practical applications by providing insights into the behavior of a system as ε approaches zero. This can help in designing control systems, predicting long-term behavior, and identifying optimal parameter values.

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