Esta lección aún no está traducida. Por ahora se muestra en inglés; la versión en español está en camino.
Adding matrices works entry by entry, so you might expect multiplying to work the same way. It does not. The useful product combines a row of the first matrix with a column of the second, and it comes from real calculations like totals and costs.
🔑 Idea clave
If $A$ is $m \times n$ and $B$ is $n \times p$, then $AB$ is $m \times p$, and its entry in row $i$, column $j$ is row $i$ of $A$ times column $j$ of $B$: multiply matching entries and add. The inside sizes must match. In general $AB \ne BA$.
💡 Por qué funciona
Suppose row $1$ of $A$ lists what you buy: $2$ apples and $3$ pears. Column $1$ of $B$ lists the prices at a store: $\$1$ and $\$2$. Your bill there is $2 \cdot 1 + 3 \cdot 2 = 8$: a row times a column. Each other entry of $AB$ is another shopper at another store. The row and the column must have the same length, or the items do not line up. Swapping the order asks a different question, so $BA$ is usually different.
The matrix times the vector $\mathbf{v}$: each entry of $A\mathbf{v}$ is a row of $A$ times $\mathbf{v}$. Edit the entries and drag $\mathbf{v}$.
Multiplying matching entries, as if $\begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}\begin{bmatrix} 5 & 0 \\ -1 & 2 \end{bmatrix}$ were $\begin{bmatrix} 5 & 0 \\ -3 & 8 \end{bmatrix}$, or assuming $AB = BA$. Check the sizes first (inside numbers equal, outside numbers give the answer's size), then compute every entry as a row times a column.
Práctica
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