Problem Sheet - Linear Algebra I MT22, V


Flashcards

\[\left(\begin{matrix} 1 \& 0 \& \frac{1}{3} \& 1 \\\\ 0 \& 1 \& \frac{-2}{3} \& 0 \\\\ 0 \& 0 \& 0 \& 0 \end{matrix}\right)\]

How would you describe where you put $-1$s for the Minus-1 trick?


In new rows so that there’s always a $1$ or $-1$ on the diagonal.

\[\left(\begin{matrix} 1 \& 0 \& \frac{1}{3} \& 1 \\\\ 0 \& 1 \& \frac{-2}{3} \& 0 \\\\ 0 \& 0 \& 0 \& 0 \end{matrix}\right)\]

How would you rewrite this matrix for the Minus-1 trick?


\[\left(\begin{matrix} 1 \& 0 \& \frac{1}{3} \& 1 \\\\ 0 \& 1 \& \frac{-2}{3} \& 0 \\\\ 0 \& 0 \& -1 \& 0 \\\\ 0 \& 0 \& 0 \& -1 \end{matrix}\right)\]
\[\left(\begin{matrix} 1 \& 0 \& \frac{1}{3} \& 1 \\\\ 0 \& 1 \& \frac{-2}{3} \& 0 \\\\ 0 \& 0 \& 0 \& 0 \end{matrix}\right) \to \left(\begin{matrix} 1 \& 0 \& \frac{1}{3} \& 1 \\\\ 0 \& 1 \& \frac{-2}{3} \& 0 \\\\ 0 \& 0 \& -1 \& 0 \\\\ 0 \& 0 \& 0 \& -1 \end{matrix}\right)\]

Here the minus-1 trick has been applied. What are the solutions to the original matrix being $0$?


\[\lambda_1 \left(\begin{matrix} \frac{1}{3} \\\\ \frac{-2}{3} \\\\ -1 \\\\ 0 \end{matrix}\right) + \lambda_2 \left(\begin{matrix} 1 \\\\ 0 \\\\ 0 \\\\ -1 \end{matrix}\right)\]

How can you find the kernel of a linear transformation represented by a matrix $A$?


Write in reduced row-echelon form and use the minus-1 trick to read off solutions.

How can you find the image of a linear transformation represented by a matrix $A$?


Write in reduced column-echelon form and read off the pivot columns.

What does the linear transformation $(S + T)(v)$ mean where $S, T : V \to W$?


\[(S+T)(v) = S(v) + T(v)\]

What does the linear transformation $(\lambda S)(v)$ mean where $S, T : V \to W$?


\[(\lambda S)(v) = \lambda S(v)\]

What does it mean for a linear transformation $T$ to be idempotent?


\[T^2 = T\]

How, in practice, could you get a matrix in reduced column-echelon form?


Take the transpose of the matrix, get in RREF, then take the transpose again.

In what situation might you want to use the reduced column-echelon form?


When determining the image of a matrix.




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