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Example Questions
Example Question #121 : Matrices
Example Question #13 : 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.
First we check the dimensions. The matrix has 3 columns and the vector
has three rows. The dimensions match and the product exists.
Now we take the dot product of rows in the matrix and the vector .
Example Question #809 : Linear Algebra
Let be a matrix and
be a vector defined as
Find the product .
The product does not exist because the dimensions do not match.
First we check that the dimensions match. Matrix has 3 columns and vector
has three rows. The dimensions match and the product exists.
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 #22 : 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.
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 #812 : Linear Algebra
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 #23 : Matrix Vector Product
Multiply
To multiply, add:
Example Question #1 : Vector Vector Product
Compute , where
Not possible
Before we compute the product of , and
, we need to check if it is possible to take the product. We will check the dimensions.
is
, and
is
, so the dimensions of the resulting matrix will be
. Now let's compute it.
Example Question #2 : Vector Vector Product
Find the vector-vector product of the following vectors.
It's not possible to multiply these vectors
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