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Example Questions
Example Question #21 : Matrix Vector Product
Let be a matrix and be a vector defined by
Find the product .
The product does not exist because the dimensions do not match.
Matrix has 4 columns and vector has 4 rows. The dimensions match and the product exists.
Example Question #122 : Matrices
Let be a matrix and be a vector defined by
Find the product .
The product does not exist because the dimensions do not match.
The product does not exist because the dimensions do not match.
The matrix has 3 columns and the vector has 5 rows. The dimensions do not match and the product does not exist.
Example Question #123 : Matrices
Rewrite the system of equations:
into a matrix vector product:
where is a 3x3 matrix and are vectors in .
To write
into matrix vector form, we recall that matrix multiplication with a vector is done such that the first element in the resulting vector is the dot product of the first row of with the vector , the second element is the dot product of the second row with , and so on. The first row is thus , the second row is , and the third row is . So the left side of the equality is
The right side is the vector , so the final answer is
which is equivalent to
Example Question #124 : Matrices
Let and .
Find .
is not defined.
First, it must be established that is defined. This is the case if and only if has as many columns as has rows. Since has two columns and has two rows, is defined.
Matrices are multiplied by multiplying each row of the first matrix by each column of the second - that is, by adding the products of the entries in corresponding positions. Thus,
Example Question #811 : Linear Algebra
Multiply
To multiply, add:
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