Skill: Multiply a matrix by a column vector

Explanation and Free Practice Resources

For a real matrix with as many columns as the column vector has entries, the product is a column vector whose entries are the dot products of the matrix’s rows with the given vector. Equivalently, it is a weighted combination of the matrix’s columns, so the operation represents the matrix’s action on a vector and supports interpreting matrices as linear transformations; abstract vector spaces and more advanced generalizations are outside this scope.

Detailed Explanation: Multiply a matrix by a column vector

To multiply a matrix by a column vector, check that the matrix has the same number of columns as the vector has entries. Then take the dot product of each matrix row with the vector. The results form a new column vector.

For example, calculate

(2−13041)(52−1).\begin{pmatrix} 2 & -1 & 3\\ 0 & 4 & 1 \end{pmatrix} \begin{pmatrix} 5\\ 2\\ -1 \end{pmatrix}.

The matrix has 33 columns, and the vector has 33 entries, so the product is defined. Find each row’s dot product with the vector:

  • First row: 2(5)+(−1)(2)+3(−1)=10−2−3=52(5)+(-1)(2)+3(-1)=10-2-3=5
  • Second row: 0(5)+4(2)+1(−1)=0+8−1=70(5)+4(2)+1(-1)=0+8-1=7

Therefore,

(2−13041)(52−1)=(57).\begin{pmatrix} 2 & -1 & 3\\ 0 & 4 & 1 \end{pmatrix} \begin{pmatrix} 5\\ 2\\ -1 \end{pmatrix} = \begin{pmatrix} 5\\ 7 \end{pmatrix}.

The product has one entry for each row of the matrix.

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