1. Assume that $x_1(t)$ and $x_2(t)$ are (individually) solutions to the following ordinary, second-order differential equations. For which of the following is the linear combination

    \begin{displaymath}
x(t) = c_1 x_1(t) + c_2 x_2(t)
\end{displaymath}

    also a solution?
    1. $\ddot 2 x + \dot x + 5 x = 0$.
    2. $\ddot x + 2 \sin t \dot x + 6 x = 0$.
    3. $\ddot x + 44 \dot x + x = 0$.
    4. $ \ddot x + 5 \dot x + 4 x = 3 t$.
    What are the differences between the equations for which $x(t)$ is a solution and $x(t)$ is not a solution?

  2. In the case of repeated roots of the characteristic equation

    \begin{displaymath}
\lambda^2 + 2 \zeta \omega_n \lambda + \omega_n^2 = 0,
\end{displaymath}

    prove the following two facts.
    1. If the root is repeated, the value of the root is $\lambda = -\omega_n$.
    2. If the root is repeated, then the two solutions

      \begin{displaymath}
x_1(t) = e^{-\omega t}, \quad
x_2(t) = t e^{-\omega t}
\end{displaymath}

      are linearly independent.

  3. Determine the solution to $12 \ddot x - 10 \dot x + 2 x = 0$, where $x(0) = 4$ and $\dot x(0) = 0.$

  4. This chapter mainly deals with constant-coefficient second-order ordinary differential equations. However, there is one class of variable-coefficient equations that is easy to solve. The equation
    \begin{displaymath}
t^2 \ddot x + \alpha t \dot x + \beta x = 0
\end{displaymath} (1)

    is called Euler's equation. Show that $x(t) = t^\lambda$ is a solution.
    1. Are there usually two solutions to Euler's equation? If so, are they linearly independent? If they are not linearly independent everywhere, on what intervals do they form a fundamental set of solutions?
    2. Determine the general solution to

      \begin{displaymath}
t^2 \ddot x + 4 t \dot x + 2 x = 0.
\end{displaymath}

  5. The following figure illustrates the solution to

    \begin{displaymath}
3 \ddot x + \dot x + 11 x = 0,
\end{displaymath}

    where $x(0) = 1$ and $\dot x(0) = 0$.

    By referring to one of the forms of the solution given in Section 3.3, without solving the equation sketch what the solution will look like if
    1. The coefficient of $\ddot x$ is increased
    2. The coefficient of $\ddot x$ is decreased
    3. The coefficient of $\dot x$ is increased a little
    4. The coefficient of $\dot x$ is increased a lot
    5. The coefficient of $\dot x$ is decreased
    6. The coefficient of $x$ is increased
    7. The coefficient of $x$ is decreased
    Verify your predictions by solving the equation and plotting the solution. Using a computer package is acceptable. Insight from problems of this type is very useful in designing feedback controllers in AME 30315.