Repeated Eigenvalues — Question 1

Section 24-9 · Calculus pages 4421–4422

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Question 1

Compare the systems X′=AXX'=AX and X′=BXX'=BX, where A=(−200−2),B=(−210−2).A=\begin{pmatrix}-2&0\\0&-2\end{pmatrix},\qquad B=\begin{pmatrix}-2&1\\0&-2\end{pmatrix}. Both have the characteristic polynomial (λ+2)2(\lambda+2)^2.

Tasks

  1. Find the eigenspace of each matrix and explain why the repeated characteristic root does not determine the number of independent eigenvectors.

  2. Write the complete real solution of each system for initial state (p,q)T(p,q)^T. Verify any term containing tt.

  3. For the BB system starting at (0,1)(0,1), eliminate time with the correct domain. Find the maximum of x(t)x(t) on t≥0t\ge 0.

  4. Compare the two systems’ phase trajectories and forward limits. Does every repeated eigenvalue require a polynomial factor in every solution?

Question 1 – Solution

Strategy. The eigenspace dimension decides whether a repeated root already supplies a full basis or needs another solution.

Step 1: Distinguish the eigenspaces. For AA, every nonzero vector is a −2-2 eigenvector, so the eigenspace has dimension two. For BB, (B+2I)(x,y)T=(y,0)T(B+2I)(x,y)^T=(y,0)^T, so its eigenspace is span⁡(1,0)T\operatorname{span}(1,0)^T, of dimension one. Algebraic multiplicity is two in both cases; the geometric multiplicities differ.

Step 2: Recover both complete families. For initial (p,q)(p,q), XA=e−2t(pq),XB=e−2t(p+qtq).\boxed{X_A=e^{-2t}\binom pq,\qquad X_B=e^{-2t}\binom{p+qt}{q}.} For BB, first solve y′=−2yy'=-2y, then (e2tx)′=q(e^{2t}x)'=q. This derives every solution, and direct differentiation verifies the qtqt term. In particular te−2t(1,0)Tte^{-2t}(1,0)^T alone is not the missing solution; the accompanying e−2t(0,1)Te^{-2t}(0,1)^T is essential.

Step 3: Analyze the selected orbit. For BB with (p,q)=(0,1)(p,q)=(0,1), x=te−2tx=te^{-2t} and y=e−2t>0y=e^{-2t}>0. Eliminating tt gives x=−12yln⁡y,y>0.\boxed{x=-\tfrac 12y\ln y,\quad y>0.} Forward time decreases yy. On t≥0t\ge 0, x′=e−2t(1−2t)x'=e^{-2t}(1-2t) changes sign at t=1/2t=1/2, giving xmax=1/(2e)x_{\max}=1/(2e) at y=e−1y=e^{-1}.

Step 4: Interpret multiplicity and geometry. Every nonzero AA trajectory is a straight ray toward zero. For BB, only the eigenline y=0y=0 gives straight rays; otherwise x/y=p/q+tx/y=p/q+t changes, giving curved trajectories. All solutions of both systems decay. A repeated root needs no polynomial factor when there is a full eigenbasis; even in the defective system, eigenline initial data have q=0q=0 and no tt term. The figure shows the selected BB orbit, not a generic ray.

Diagram shown in the original SVG worksheet.