Systems of Linear Equations: Matrices
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Finite Mathematics › Systems of Linear Equations: Matrices
Use Cramer's rule to evaluate .
None of the other choices gives the correct response.
Explanation
By Cramer's rule, the value of is equal to
, where
is the determinant of the matrix of coefficients
,
and is the same matrix with the x-coefficients replaced by the constants:
The determinant of a two-by-two matrix is equal to the product of the entries in the main diagonal minus the product of the other two entries. Therefore,
and
.
True or false: is an example of a matrix in reduced row-echelon form.
False
True
Explanation
A matrix is in reduced row-echelon form if it meets four criteria:
-
No row comprising only 0's can be above a row with a nonzero entry.
-
The first nonzero entry in each nonzero row is a 1.
-
Each leading 1 is in a column to the right of the above leading 1.
-
In every column that includes a leading 1, all other entries are 0's.
The first nonzero entry in the second row is a 2, violating the second criterion:
is not in reduced row-echelon form.
Let and
Find .
is undefined.
Explanation
For the product of two matrices to be defined, the number of columns in the first matrix must be equal to the number of rows in the second. This is the case, 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 matrix. This is done by adding the products of the entries in corresponding positions. Thus,
,
the correct product.
Find the value of when,
.
Explanation
To find the value of when,
first multiply three and nine together.
Now, recall that mod means the remainder after division occurs.
In this case
--------------
Therefore, the remainder is three.
and
.
True or false: , where
is the two-by-two identity matrix.
False
True
Explanation
First, it must be established that is defined. This is the case if and only
and
have the same number of rows, which is true, and they have the same number of columns, which is also true.
is therefore defined.
Subtraction of two matrices is performed by subtracting corresponding elements, so
However, .
Therefore, .
and
..
True or false:
.
True
False
Explanation
First, it must be established that is defined. This is the case if and only
and
have the same number of rows, which is true, and they have the same number of columns, which is also true.
is therefore defined.
Subtraction of two matrices is performed by subtracting corresponding elements together, so
The statement is true.
refers to the two-by-two identity matrix.
Which of the following expressions is equal to ?
is undefined.
Explanation
For the sum of two matrices to be defined, they must have the same number of rows and columns. is a matrix with three columns; since, in this problem,
refers to the two-by-two identity matrix
,
has two columns. Since the number of columns differs,
is undefined.
is a three-by-four matrix.
Which must be true?
has three rows.
has three rows.
has four rows.
has four rows.
None of the statements in the other choices must be true.
Explanation
The product of two matrices
and
, where
has
rows and
columns and
has
rows and
columns, is a matrix with
rows and
columns. It follows that
must have the same number of rows as
. Since
has three rows, so does
. Nothing can be inferred about the number of rows of
.
Let and
.
Find .
is not defined.
Explanation
For the product of two matrices to be defined, the number of columns in the first matrix must be equal to the number of rows in the second. This is the case, since has two columns and
has two rows.
is defined.
Matrix multiplication is worked by multiplying each row of the first matrix by each column of the second matrix. This is done by adding the products of the entries in corresponding positions. Thus,
You are given that the inverse of the matrix
is
Using this information, solve the linear system
From these five choices, select the correct value of .
Explanation
The given linear system can be rewritten as the matrix equation
,
where
,
, and
.
This equation can be restated as
We are already given , so:
Multiply two matrices by multiplying the rows in the first by the column in the second; this is done by adding the products of entries in corresponding positions, as follows:
We are only interested in the value of , which is 430.