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91Ó°ÊÓ

Problem 2

Determine all minors and cofactors of the given matrix. $$A=\left[\begin{array}{rr} 1 & -3 \\ 2 & 4 \end{array}\right]$$

Problem 2

Evaluate the determinant of the given matrix by first using elementary row operations to reduce it to upper triangular form. $$\left|\begin{array}{rrr} 1 & 2 & 3 \\ 2 & 6 & 4 \\ 3 & -5 & 2 \end{array}\right|$$

Problem 3

Determine the number of inversions and the parity of the given permutation. (5,4,3,2,1).

Problem 7

Evaluate the determinant of the given matrix by first using elementary row operations to reduce it to upper triangular form. $$\left|\begin{array}{rrr} 1 & -1 & 2 & 4 \\ 3 & 1 & 2 & 4 \\ -1 & 1 & 3 & 2 \\ 2 & 1 & 4 & 2 \end{array}\right|$$

Problem 10

Use the cofactor expansion theorem to evaluate the given determinant along the specified row or column. \(\left|\begin{array}{rrr}2 & 1 & -4 \\ 7 & 1 & 3 \\ 1 & 5 & -2\end{array}\right|,\) row 2

Problem 12

Use the cofactor expansion theorem to evaluate the given determinant along the specified row or column. \(\left|\begin{array}{rrr}0 & 2 & -3 \\ -2 & 0 & 5 \\ 3 & -5 & 0\end{array}\right|,\) row 3.

Problem 15

Use Cramer's rule to determine the unique solution for \(x\) to the system \(A x=b\) for the given matrix \(A\) and vector \(\mathbf{b}\). $$A=\left[\begin{array}{rl}2 & 8 \\\\-2 & 4\end{array}\right], \mathbf{b}=\left[\begin{array}{r}0 \\\\-3\end{array}\right].$$

Problem 27

Let \(A=\left[\begin{array}{ll}1 & 2 \\ 3 & 4\end{array}\right],\) and let \(B=\left[\begin{array}{ll}5 & 4 \\ 1 & 1\end{array}\right] .\) Use the adjoint method to find \(B^{-1}\) and then determine \(\left(A^{-1} B^{T}\right)^{-1}.\)

Problem 29

Use the adjoint method to determine \(A^{-1}\) for the given matrix \(A.\) $$A=\left[\begin{array}{rrrr} 0 & -3 & 2 & 2 \\ 0 & 1 & 1 & 1 \\ 1 & 2 & 3 & -4 \\ 1 & 0 & 0 & 5 \end{array}\right]$$.

Problem 34

True or False: Given any real number \(r\) and any \(3 \times 3\) matrix \(A\) whose entries are all nonzero, it is always possible to change at most one entry of \(A\) to get a matrix \(B\) with \(\operatorname{det}(B)=r.\)

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