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Additive Inverse Matrix (for \( 3 \times 3 \) )

Ask by Lynch Summers. in the United States
Mar 10,2025

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The additive inverse of a \( 3 \times 3 \) matrix is found by negating each element of the matrix.

Solución

The additive inverse of a matrix is another matrix of the same dimensions such that when the two matrices are added together, the result is the zero matrix. For a \( 3 \times 3 \) matrix, if we denote the matrix as \[ A = \begin{pmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{pmatrix} \] the additive inverse \( -A \) is given by: \[ -A = \begin{pmatrix} -a_{11} & -a_{12} & -a_{13} \\ -a_{21} & -a_{22} & -a_{23} \\ -a_{31} & -a_{32} & -a_{33} \end{pmatrix} \] To verify that \( A + (-A) = 0 \), we can perform the addition: \[ A + (-A) = \begin{pmatrix} a_{11} - a_{11} & a_{12} - a_{12} & a_{13} - a_{13} \\ a_{21} - a_{21} & a_{22} - a_{22} & a_{23} - a_{23} \\ a_{31} - a_{31} & a_{32} - a_{32} & a_{33} - a_{33} \end{pmatrix} = \begin{pmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{pmatrix} \] Thus, the additive inverse of a \( 3 \times 3 \) matrix is simply obtained by negating each element of the matrix.

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Bonus Knowledge

The additive inverse of a matrix is like its shadow—if you add the two together, you get nothing! For a \( 3 \times 3 \) matrix, simply change the sign of each element. For example, if your matrix \( A \) is: \[ A = \begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{pmatrix} \] its additive inverse, \( -A \), would be: \[ -A = \begin{pmatrix} -1 & -2 & -3 \\ -4 & -5 & -6 \\ -7 & -8 & -9 \end{pmatrix} \] You can visualize it as flipping each number upside down on a number line! In practical applications, additive inverses are crucial in solving systems of equations, especially when working with linear transformations. When you encounter the need to isolate variables in matrix equations, using additive inverses helps simplify the process. Whether you're balancing budgets or video game physics, mastering this concept keeps your calculations precise and error-free—no one wants to accidentally double their costs or miss a jump!

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