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Example Questions
Example Question #101 : Matrix Matrix Product
Calculate .
is not defined.
, the transpose of , can be found by transposing rows with columns.
, so
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,
This is a square matrix, so it can be raised to a power. To raise a diagonal matrix to a power, simply raise each number in the main diagonal to that power:
.
Example Question #102 : Matrix Matrix Product
and , where all four variables stand for real quantities.
Which must be true of and regardless of the values of the variables?
None of the statements given in the other choices are correct.
None of the statements given in the other choices are correct.
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,
is false in general.
, the transpose of , is the result of transposing rows and columns:
. so
is false in general.
, so
is false in general.
, so
is false in general.
Thus, none of the four given statements need be true.
Example Question #103 : Matrix Matrix Product
Let
Find .
is undefined.
is equal to the two-entry column matrix , so , the transpose, is the row matrix
The product of two matrices is calculated by multiplying rows by columns - adding the corresponding entries in the rows of the first matrix by the columns of the second - so
Example Question #101 : Matrices
Multiply:
To multiply, add:
Example Question #2 : Matrix Vector Product
Compute AB.
None of the other answers.
Because the number of columns in matrix A and the number of rows in matrix B are equal, we know that product AB does in fact exist. Matrix AB should have the same number of rows as A and the same number of columns as B. In this case, AB is a 2x3 matrix:
Example Question #1 : Matrix Vector Product
Compute AB
None of the other answers
Because the number of columns in matrix A and the number of rows in matrix B are equal, we know that product AB does in fact exist. Matrix AB should have the same number of rows as A and the same number of columns as B. In this case, AB is a 1x4 matrix:
Example Question #3 : Matrix Vector Product
Calculate , given
,
By definition,
.
Example Question #1 : Matrix Vector Product
Calculate , given
By definition,
. A matrix with only one entry is simply a scalar.
Example Question #5 : Matrix Vector Product
Calculate , given
.
Can not be determined, is not a vector.
By definition,
.
Example Question #1 : Matrix Vector Product
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