Systems of Linear Equations: Matrices - Finite Mathematics
Card 1 of 132
Find the value of
when,
.
Find the value of when,
.
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To find the value of
when,
first multiply six and seven together.

Now, recall that mod means the remainder after division occurs.
In this case




--------------

Therefore, the remainder is two.

To find the value of when,
first multiply six and seven together.
Now, recall that mod means the remainder after division occurs.
In this case
--------------
Therefore, the remainder is two.
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The following tables describe matrix operations.

Calculate the following using the tables from above.

The following tables describe matrix operations.
Calculate the following using the tables from above.
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This question is testing the matrix operation. Remember to use order of operations and perform the algebraic operation that is inside the parentheses first.

First look at the # table.

Multiplying % by % results in *.
Now go to the $ table and multiply * by %.


Therefore,

This question is testing the matrix operation. Remember to use order of operations and perform the algebraic operation that is inside the parentheses first.
First look at the # table.
Multiplying % by % results in *.
Now go to the $ table and multiply * by %.
Therefore,
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Find the value of
when,
.
Find the value of when,
.
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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.

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.
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Give the determinant of
.
Give the determinant of .
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The determinant of a two-by-two matrix

can be found by evaluating the expression

Substitute the corresponding elements to get
.
The determinant of a two-by-two matrix
can be found by evaluating the expression
Substitute the corresponding elements to get
.
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Consider the system of linear equations:


What kind of system is this?
Consider the system of linear equations:
What kind of system is this?
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One way to identify whether the matrix is consistent and independent is to form a matrix of its variable coefficients, and calculate its determinant. The matrix is

The determinant of a two-by-two matrix

can be found by evaluating the expression

Substitute the corresponding elements to get

Since
,
it follows that the system is consistent and independent.
One way to identify whether the matrix is consistent and independent is to form a matrix of its variable coefficients, and calculate its determinant. The matrix is
The determinant of a two-by-two matrix
can be found by evaluating the expression
Substitute the corresponding elements to get
Since ,
it follows that the system is consistent and independent.
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Which of the following is equal to
?
Which of the following is equal to ?
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, the inverse of a two-by-two matrix
,
can be calculated as follows:
,
where
.
Setting each of the values accordingly,

, or
.
, the inverse of a two-by-two matrix
,
can be calculated as follows:
,
where .
Setting each of the values accordingly,
, or
.
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Let
and 
Find
.
Let and
Find .
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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.
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.
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True or false:

True or false:
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The product of any scalar value and a matrix is the matrix formed when each entry in the matrix is multiplied by that scalar. Thus, if

then


This is not equal to the matrix
,
since the entries in the second and third rows differ. The statement is false.
The product of any scalar value and a matrix is the matrix formed when each entry in the matrix is multiplied by that scalar. Thus, if
then
This is not equal to the matrix
,
since the entries in the second and third rows differ. The statement is false.
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True or false:
is an example of a matrix in reduced row-echelon form.
True or false:
is an example of a matrix in reduced row-echelon form.
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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.
This condition is met, since the only all-zero row is the one at bottom:

-
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.
Both conditions are met:

- In every column that includes a leading 1, all other entries are 0's.
This condition is met:

meets all four criteria and is therefore in reduced row-echelon form.
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.
This condition is met, since the only all-zero row is the one at bottom:
-
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.
Both conditions are met:
- In every column that includes a leading 1, all other entries are 0's.
This condition is met:
meets all four criteria and is therefore in reduced row-echelon form.
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Give the solution set of the system of equations


Give the solution set of the system of equations
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Multiply both sides of the first equation by 2 in order to make the x-coefficients each other's opposite:



Add each side of this equation to each side of the other equation:


, or
.
This indicates that the two equations are equivalent. Therefore,



The solution set can be written in parametric form as
,
arbitrary.
Multiply both sides of the first equation by 2 in order to make the x-coefficients each other's opposite:
Add each side of this equation to each side of the other equation:
, or
.
This indicates that the two equations are equivalent. Therefore,
The solution set can be written in parametric form as
,
arbitrary.
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refers to the two-by-two identity matrix.
Which of the following expressions is equal to
?
refers to the two-by-two identity matrix.
Which of the following expressions is equal to ?
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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.
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.
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Let
and
.
Find
.
Let and
.
Find .
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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,



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,
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is a three-by-four matrix.
Which must be true?
is a three-by-four matrix.
Which must be true?
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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
.
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
.
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True or false:

True or false:
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The product of any scalar value and a matrix is the matrix formed when each entry in the matrix is multiplied by that scalar. Thus, if
,
then

The statement is false, since the entry in Row 3, Column 1 is incorrect.
The product of any scalar value and a matrix is the matrix formed when each entry in the matrix is multiplied by that scalar. Thus, if
,
then
The statement is false, since the entry in Row 3, Column 1 is incorrect.
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True or false: there is no solution
that makes this matrix equation true.
True or false: there is no solution that makes this matrix equation true.
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For two matrices to be equal, two conditions must hold:
-
The matrices must have the same dimension. This can be seen to be the case, since both matrices have two rows and one column.
-
All corresponding entries must be equal. For this to happen, it must hold that


This is a system of two equations in two variables, which can be solved as follows:
Add both sides of the equations:

It follows that

Substitute back:



Thus, there exists a solution to the system, and, consequently, to the original matrix equation. The statement is therefore false.
For two matrices to be equal, two conditions must hold:
-
The matrices must have the same dimension. This can be seen to be the case, since both matrices have two rows and one column.
-
All corresponding entries must be equal. For this to happen, it must hold that
This is a system of two equations in two variables, which can be solved as follows:
Add both sides of the equations:
It follows that
Substitute back:
Thus, there exists a solution to the system, and, consequently, to the original matrix equation. The statement is therefore false.
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True or false:
is an example of a matrix in reduced row-echelon form.
True or false: is an example of a matrix in reduced row-echelon form.
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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.
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.
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True or false:
is an example of a matrix in reduced row-echelon form.
True or false: is an example of a matrix in reduced row-echelon form.
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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.
This is vacuously true, since there are no zero rows.
-
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.
Both conditions are met:

- In every column that includes a leading 1, all other entries are 0's.
Both conditions are met:

meets all four conditions and is therefore a matrix in reduced row-echelon form.
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.
This is vacuously true, since there are no zero rows.
-
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.
Both conditions are met:
- In every column that includes a leading 1, all other entries are 0's.
Both conditions are met:
meets all four conditions and is therefore a matrix in reduced row-echelon form.
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and
.
True or false:
.
and
.
True or false:
.
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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.
Addition of two matrices is performed by adding corresponding elements together, so



The statement is true.
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.
Addition of two matrices is performed by adding corresponding elements together, so
The statement is true.
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and
..
True or false:
.
and
..
True or false:
.
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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.
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.
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Solve the linear system:


Solve the linear system:
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First, make the y-coefficients each other's opposite. This can be done by multiplying the first equation by 2 on both sides:



The y-coefficients of the two equations are now opposites, so, if the left and right sides of the two equations are added, the y-terms will cancel out, as follows:

The resulting statement is identically false. It follows that the two equations of the system are inconsistent with each other. The system has no solution.
First, make the y-coefficients each other's opposite. This can be done by multiplying the first equation by 2 on both sides:
The y-coefficients of the two equations are now opposites, so, if the left and right sides of the two equations are added, the y-terms will cancel out, as follows:
The resulting statement is identically false. It follows that the two equations of the system are inconsistent with each other. The system has no solution.
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