Problem 38
Easy Matrix Methods

Solve the system of differential equations: (dx_1)/(dt) =…

Solve the system of differential equations: $$ \frac{dx_1}{dt} = x_1 - x_2,\qquad \frac{dx_2}{dt} = x_1 + 3x_2 $$

Explanation of Method

As in Problem 37, the coefficient matrix has a repeated eigenvalue with only a one-dimensional eigenspace, so a generalised eigenvector is again required to build the second independent solution.

  1. Write the system in matrix form and solve the characteristic equation.
  2. Find the eigenvector for the repeated eigenvalue.
  3. Find a generalised eigenvector.
  4. Combine into the general solution.

Step 1 · Characteristic equation

With $A=\begin{pmatrix}1&-1\\1&3\end{pmatrix}$,

$$ \det(A-\lambda I)=(1-\lambda)(3-\lambda)+1=(\lambda-2)^2=0, $$

a repeated eigenvalue $\lambda=2$.

Step 2 · Eigenvector and generalised eigenvector

Solving $(A-2I)\mathbf v=0$ gives $\mathbf v_1=(1,-1)$ (rank of $A-2I$ is 1, so a generalised eigenvector is needed). Solving $(A-2I)\mathbf v_2=\mathbf v_1$ gives $\mathbf v_2=(-1,0)$.

Step 3 · General solution

$$ x_1(t)=C_1e^{2t}+C_2(t-1)e^{2t},\qquad x_2(t)=-C_1e^{2t}-C_2\,t\,e^{2t}. $$

Step 4 · Verification

Differentiating and substituting confirms $\dot x_1=x_1-x_2$ and $\dot x_2=x_1+3x_2$ hold identically. ✓


Summary Table

Quantity Value
Eigenvalue$\lambda=2$ (multiplicity 2)
Eigenvector$(1,-1)$
Generalised eigenvector$(-1,0)$

Additional Notes

Result

The general solution of the system is:

$$ \begin{aligned} x_1(t) &= C_1 e^{2t} + C_2(t-1)e^{2t},\\ x_2(t) &= -C_1 e^{2t} - C_2\, t\, e^{2t}. \end{aligned} $$