Matrix Multiplication Math Example 2

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Example 2

hard
Compute [20โˆ’1132][14โˆ’1]\begin{bmatrix} 2 & 0 & -1 \\ 1 & 3 & 2 \end{bmatrix} \begin{bmatrix} 1 \\ 4 \\ -1 \end{bmatrix}.

Solution

  1. 1
    Step 1: Dimensions: (2ร—3)(3ร—1)โ†’2ร—1(2 \times 3)(3 \times 1) \to 2 \times 1.
  2. 2
    Step 2: Row 1: 2(1)+0(4)+(โˆ’1)(โˆ’1)=2+0+1=32(1) + 0(4) + (-1)(-1) = 2 + 0 + 1 = 3.
  3. 3
    Step 3: Row 2: 1(1)+3(4)+2(โˆ’1)=1+12โˆ’2=111(1) + 3(4) + 2(-1) = 1 + 12 - 2 = 11.
  4. 4
    Result: [311]\begin{bmatrix} 3 \\ 11 \end{bmatrix}

Answer

[311]\begin{bmatrix} 3 \\ 11 \end{bmatrix}
Multiplying a matrix by a column vector produces another column vector. Each entry is the dot product of a row of the matrix with the column vector. This is the core operation in systems of linear equations Ax=bAx = b.

About Matrix Multiplication

Multiplying matrices AA (mร—nm \times n) and BB (nร—pn \times p) by taking dot products of rows of AA with columns of BB to produce an mร—pm \times p result.

Learn more about Matrix Multiplication โ†’

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