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Section Second-Order Equations to First-Order Systems

So far, we’ve looked at systems that involve multiple variables like \(x(t)\) and \(y(t)\text{.}\) But what if you start with just a single second-order differential equation? It turns out you can rewrite it as a system of first-order equations.

Subsection Turning a Second-Order Equation into a System

For example, consider the second-order equation:
\begin{equation*} y'' + 3y' + 2y = 0 \end{equation*}
This equation involves only one dependent variable, \(y(t)\text{,}\) but it’s second-order. To convert it into a system, we introduce a new variable:
\begin{equation*} u = y, \quad v = y' \end{equation*}
That means \(u' = y' = v\text{.}\) And since \(y'' = v'\text{,}\) we can rewrite the original equation as:
\begin{equation*} v' = -3v - 2u \end{equation*}
Now we have a system of two first-order equations:
\begin{align*} u' \amp = v \\ v' \amp = -3v - 2u \end{align*}

Checkpoint 293. πŸ“–β“ Derivative Substitution.

    In order to rewrite a second-order equation as a system, we can replace \(y'\) with a new variable and then express \(y''\) as the derivative of that new variable.
  • True.

  • Correct. Introducing \(x_1 = y\) and \(x_2 = y'\) allows us to write \(y''\) as \(x_2'\) and form a system.
  • False.

  • Correct. Introducing \(x_1 = y\) and \(x_2 = y'\) allows us to write \(y''\) as \(x_2'\) and form a system.

Subsection πŸ“€ Wrap-Up

πŸ—οΈ \(\textbf{Key Takeaways...}\)
  • You can convert a second-order linear differential equation into a system of first-order linear system of equations.

Check Your Understanding.

Checkpoint 294. πŸ€”πŸ’­ Second-Order Equations to First-Order Systems.
(a) πŸ“–β“ Understanding Converted Systems.
When you convert a second-order equation into a first-order system, which of the following are always true?
  • The system has two first-order equations.
  • Yes. One for \(y\) and one for \(y'\text{.}\)
  • The system involves two new variables: one for \(y\text{,}\) one for \(y'\text{.}\)
  • Exactly. This substitution is the key step.
  • The resulting system is always uncoupled.
  • Not true. The new variables often depend on each other.
  • The system represents the same solutions as the original equation.
  • Correct. It’s just a different form of the same information.
  • You can only use this method for linear equations.
  • This method also works for nonlinear second-order equations.
(b) πŸ“–β“ Match Equations to Their Systems.
(c) πŸ“–β“ From Second Order to System.
What is the correct system corresponding to \(y'' + 4y = 0\) if we define \(x_1 = y\text{,}\) \(x_2 = y'\text{?}\)
  • \(x_1' = x_2\text{,}\) \(x_2' = -4x_2\)
  • That would be true if the original equation were \(y'' + 4y'\text{.}\) Double-check which variable is being multiplied by 4.
  • \(x_1' = x_2\text{,}\) \(x_2' = -4x_1 + x_2\)
  • Too many terms, there’s no \(y'\) in the original equation.
  • \(x_1' = x_2\text{,}\) \(x_2' = -4x_1\)
  • Yes! \(x_2' = y'' = -4y = -4x_1\) is exactly what we want.
  • \(x_1' = x_1\text{,}\) \(x_2' = -4x_2\)
  • This system doesn’t reflect the original equation at all.
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