MethodMath
Chloe Villeneuve
Apr 13, 2026

How to find the inverse of a 3x3 matrix using row operations?

I'm studying linear algebra and I can find the inverse of a 2\imes22 \imes 2 matrix easily using the formula A1=1det(A)(dbca)A^{-1} = \frac{1}{\det(A)} \begin{pmatrix} d & -b \\-c & a \end{pmatrix}.

But for 3\imes33 \imes 3 matrices, the formula involving cofactors and the adjugate is very tedious. I've heard that Gauss-Jordan elimination (row reduction) is more efficient.

Could someone show the complete row reduction process to find the inverse of:

A=(123014560)A = \begin{pmatrix} 1 & 2 & 3 \\0 & 1 & 4 \\5 & 6 & 0 \end{pmatrix}

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1 Answer

AO
Amara OkaforApr 14, 2026 Accepted
The Gauss-Jordan method: augment $A$ with the identity matrix $[A \mid I]$ and row-reduce until the left side becomes $I$. The right side will be $A^{-1}$. $$[A \mid I] = \begin{pmatrix} 1 & 2 & 3 & | & 1 & 0 & 0 \\ 0 & 1 & 4 & | & 0 & 1 & 0 \\ 5 & 6 & 0 & | & 0 & 0 & 1 \end{pmatrix}$$ **Step 1:** $R_3 \leftarrow R_3 - 5R_1$ $$\begin{pmatrix} 1 & 2 & 3 & | & 1 & 0 & 0 \\ 0 & 1 & 4 & | & 0 & 1 & 0 \\ 0 & -4 & -15 & | & -5 & 0 & 1 \end{pmatrix}$$ **Step 2:** $R_3 \leftarrow R_3 + 4R_2$ $$\begin{pmatrix} 1 & 2 & 3 & | & 1 & 0 & 0 \\ 0 & 1 & 4 & | & 0 & 1 & 0 \\ 0 & 0 & 1 & | & -5 & 4 & 1 \end{pmatrix}$$ **Step 3:** $R_2 \leftarrow R_2 - 4R_3$ $$\begin{pmatrix} 1 & 2 & 3 & | & 1 & 0 & 0 \\ 0 & 1 & 0 & | & 20 & -15 & -4 \\ 0 & 0 & 1 & | & -5 & 4 & 1 \end{pmatrix}$$ **Step 4:** $R_1 \leftarrow R_1 - 2R_2 - 3R_3$ $$\begin{pmatrix} 1 & 0 & 0 & | & -24 & 18 & 5 \\ 0 & 1 & 0 & | & 20 & -15 & -4 \\ 0 & 0 & 1 & | & -5 & 4 & 1 \end{pmatrix}$$ **Therefore:** $$A^{-1} = \begin{pmatrix} -24 & 18 & 5 \\ 20 & -15 & -4 \\ -5 & 4 & 1 \end{pmatrix}$$ **Verification:** $A \cdot A^{-1}$ should equal $I$.
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