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Scalar Multiplication of a Matrix — Definition & Examples

Scalar multiplication of a matrix is the operation of multiplying every element in a matrix by a single number, called a scalar. The result is a new matrix of the same size where each entry has been scaled by that number.

Given a scalar cc and an m×nm \times n matrix AA, the scalar multiple cAcA is the m×nm \times n matrix obtained by multiplying each entry of AA by cc. Formally, if A=[aij]A = [a_{ij}], then cA=[c⋅aij]cA = [c \cdot a_{ij}] for all 1≤i≤m1 \leq i \leq m and 1≤j≤n1 \leq j \leq n. This operation preserves the dimensions of the original matrix.

Key Formula

c[a11a12a21a22]=[c⋅a11c⋅a12c⋅a21c⋅a22]c \begin{bmatrix} a_{11} & a_{12} \\ a_{21} & a_{22} \end{bmatrix} = \begin{bmatrix} c \cdot a_{11} & c \cdot a_{12} \\ c \cdot a_{21} & c \cdot a_{22} \end{bmatrix}
Where:
  • cc = the scalar (a real number)
  • aija_{ij} = the entry in row i and column j of matrix A

Worked Example

Problem: Multiply the matrix A=[4−2106−3]A = \begin{bmatrix} 4 & -2 & 1 \\ 0 & 6 & -3 \end{bmatrix} by the scalar c=3c = 3.
Step 1: Write out the scalar multiplication, applying the scalar to each entry.
3A=3[4−2106−3]3A = 3 \begin{bmatrix} 4 & -2 & 1 \\ 0 & 6 & -3 \end{bmatrix}
Step 2: Multiply each entry in the first row by 3.
3⋅4=12,3⋅(−2)=−6,3⋅1=33 \cdot 4 = 12, \quad 3 \cdot (-2) = -6, \quad 3 \cdot 1 = 3
Step 3: Multiply each entry in the second row by 3.
3⋅0=0,3⋅6=18,3⋅(−3)=−93 \cdot 0 = 0, \quad 3 \cdot 6 = 18, \quad 3 \cdot (-3) = -9
Step 4: Assemble the results into the new matrix.
3A=[12−63018−9]3A = \begin{bmatrix} 12 & -6 & 3 \\ 0 & 18 & -9 \end{bmatrix}
Answer: 3A=[12−63018−9]3A = \begin{bmatrix} 12 & -6 & 3 \\ 0 & 18 & -9 \end{bmatrix}

Why It Matters

Scalar multiplication of a matrix shows up whenever you need to scale a set of values uniformly. In computer graphics, scaling an object larger or smaller involves multiplying coordinate matrices by a scalar. In physics, multiplying a force or velocity matrix by a constant adjusts every component at once, which makes this operation fundamental in linear algebra and applied mathematics.

Common Mistakes

Mistake: Multiplying only some entries (such as the diagonal) instead of every entry in the matrix.
Correction: Every single entry in the matrix must be multiplied by the scalar, regardless of its position.
Mistake: Confusing scalar multiplication with matrix multiplication and trying to treat the scalar as a matrix.
Correction: A scalar is just a number. You multiply it directly into each entry — there is no row-by-column process involved.

Related Terms

  • Matrix — The object being scaled in this operation
  • Scalar — The single number that multiplies the matrix
  • Matrix Multiplication — A different operation that multiplies two matrices