Back to Pivots and their influence on solution spaces

Activity 1.4.3

Avg difficulty 2.5
  1. Here are the three augmented matrices in reduced row echelon form that we considered in the previous section.

    [10030100001−20000]\left[ \begin{array}{rrr|r} 1 & 0 & 0 & 3 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & -2 \\ 0 & 0 & 0 & 0 \\ \end{array} \right]

    [102301−1000000000]\left[ \begin{array}{rrr|r} 1 & 0 & 2 & 3 \\ 0 & 1 & -1 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ \end{array} \right]

    [102001−1000010000]\left[ \begin{array}{rrr|r} 1 & 0 & 2 & 0 \\ 0 & 1 & -1 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \\ \end{array} \right]

    For each matrix, identify the pivot positions and state whether the corresponding linear system is consistent. If the system is consistent, explain whether the solution is unique or whether there are infinitely many solutions.

  2. If possible, give an example of a 3×53\times5 augmented matrix that corresponds to a linear system having a unique solution. If it is not possible, explain why.

  3. If possible, give an example of a 5×35\times3 augmented matrix that corresponds to a linear system having a unique solution. If it is not possible, explain why.

  4. What condition on the pivot positions guarantees that a linear system has a unique solution?

  5. If a linear system has a unique solution, what can we say about the relationship between the number of equations and the number of variables?

Austin, Understanding Linear Algebra, §1.4 Pivots and their influence on solution spaces, Activity 1.4.3

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Adapted from Understanding Linear Algebra © 2023 David Austin. Licensed under CC BY 4.0. Source: Understanding Linear Algebra. Imported at revision 3e6dced.