The Inverse - Linear Algebra
Card 1 of 164
True or False: If
,
are square and invertible matrices then
is also invertible.
True or False: If ,
are square and invertible matrices then
is also invertible.
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To prove
is invertible, we need to find another square matrix
such that
.
Since
exist, take
, then we have
,
and
.
Hence
is invertible.
To prove is invertible, we need to find another square matrix
such that
.
Since exist, take
, then we have
,
and
.
Hence is invertible.
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Suppose that
is an invertible matrix. Simplify
.
Suppose that is an invertible matrix. Simplify
.
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To simplify

we used the identities:


so we get

To simplify
we used the identities:
so we get
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Suppose that
are all invertible. What is the inverse of
?
Suppose that are all invertible. What is the inverse of
?
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The inverse of
is
since we can multiply it by
to get:


Therefore
is the inverse of 
The inverse of is
since we can multiply it by
to get:
Therefore is the inverse of
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Determine the inverse of matrix A where

Determine the inverse of matrix A where
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To determine the inverse of a matrix, you must first verify that the matrix is square. Next calculate the determinant. The determinant for this matrix is 0, so it does not have an inverse.
To determine the inverse of a matrix, you must first verify that the matrix is square. Next calculate the determinant. The determinant for this matrix is 0, so it does not have an inverse.
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and
are both singular two-by-two matrices.
True or false:
must also be singular.
and
are both singular two-by-two matrices.
True or false: must also be singular.
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To prove a statement false, it suffices to find one case in which the statement does not hold. We show that
and 
provide a counterexample.
A matrix is singular - that is, without an inverse - if and only if its determinant is equal to zero. The determinant of a two-by-two matrix is equal to the product of its upper left to lower right entries minus that of its upper right to lower left entries, so:


Both
and
are singular.
Now add the matrices by adding them term by term.




This is simply the two-by-two identity, which has an inverse - namely, itself.
The statement has been proved false by counterexample.
To prove a statement false, it suffices to find one case in which the statement does not hold. We show that
and
provide a counterexample.
A matrix is singular - that is, without an inverse - if and only if its determinant is equal to zero. The determinant of a two-by-two matrix is equal to the product of its upper left to lower right entries minus that of its upper right to lower left entries, so:
Both and
are singular.
Now add the matrices by adding them term by term.
This is simply the two-by-two identity, which has an inverse - namely, itself.
The statement has been proved false by counterexample.
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and
are both two-by-two matrices.
has an inverse.
True or false: Both
and
have inverses.
and
are both two-by-two matrices.
has an inverse.
True or false: Both and
have inverses.
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A matrix is nonsingular - that is, it has an inverse - if and only if its determinant is nonzero. Also, the determinant of the product of two matrices is equal to the product of their individual determinants. Combining these ideas:

If either
or
, then it must hold that
.
Equivalently, if either
or
has no inverse, then
has no inverse. Contrapositively, if
has an inverse, it must hold that each of
and
has an inverse.
A matrix is nonsingular - that is, it has an inverse - if and only if its determinant is nonzero. Also, the determinant of the product of two matrices is equal to the product of their individual determinants. Combining these ideas:
If either or
, then it must hold that
.
Equivalently, if either or
has no inverse, then
has no inverse. Contrapositively, if
has an inverse, it must hold that each of
and
has an inverse.
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and
are both nonsingular two-by-two matrices.
True or false:
must also be nonsingular.
and
are both nonsingular two-by-two matrices.
True or false: must also be nonsingular.
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We can prove that the sum of two nonsingular matrices need not be nonsingular by counterexample.
Let
,
.
A matrix is nonsingular - that is, with an inverse - if and only if its determinant is nonzero. The determinant of a two-by-two matrix is equal to the product of its upper left to lower right entries minus that of its upper right to lower left entries, so:


Both
and
are nonsingular.
Now add the matrices by adding them term by term.


,
the zero matrix, whose determinant is 0 and which is therefore not nonsingular.
We can prove that the sum of two nonsingular matrices need not be nonsingular by counterexample.
Let ,
.
A matrix is nonsingular - that is, with an inverse - if and only if its determinant is nonzero. The determinant of a two-by-two matrix is equal to the product of its upper left to lower right entries minus that of its upper right to lower left entries, so:
Both and
are nonsingular.
Now add the matrices by adding them term by term.
,
the zero matrix, whose determinant is 0 and which is therefore not nonsingular.
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is a singular four-by-four matrix. True or false:
must also be a singular matrix.
is a singular four-by-four matrix. True or false:
must also be a singular matrix.
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A matrix is singular - that is, it has no inverse - if and only if its determinant is equal to 0.
is singular, so
.
The determinant of the scalar product of
and an
matrix
is
;
setting
,
,
:


Therefore,
, having determinant 0, is also singular.
A matrix is singular - that is, it has no inverse - if and only if its determinant is equal to 0. is singular, so
.
The determinant of the scalar product of and an
matrix
is
;
setting ,
,
:
Therefore, , having determinant 0, is also singular.
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is a nonsingular matrix.
True or false: the inverse of the matrix
is
.
is a nonsingular matrix.
True or false: the inverse of the matrix is
.
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By definition,
and
.
Multiply:

Similarly,

Therefore,
is the inverse of
.
By definition,
and
.
Multiply:
Similarly,
Therefore, is the inverse of
.
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Find
.
Find .
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To find the inverse of a matrix
, set up an augmented matrix
, as shown below:

Perform row operations on this matrix until it is in reduced row-echelon form.
The following operations are arguably the easiest:












The augmented matrix is in reduced row-echelon form
. The inverse is therefore
.
To find the inverse of a matrix , set up an augmented matrix
, as shown below:
Perform row operations on this matrix until it is in reduced row-echelon form.
The following operations are arguably the easiest:
The augmented matrix is in reduced row-echelon form . The inverse is therefore
.
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Determine the inverse of matrix A where

Determine the inverse of matrix A where
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The matrix is square, so it could have an inverse. Next you need to find the determinant which is 362. Swap the numbers in spots a and d and put a negative in front of the numbers in spots b and c.
then divide each number by the determinant and simplify.
The matrix is square, so it could have an inverse. Next you need to find the determinant which is 362. Swap the numbers in spots a and d and put a negative in front of the numbers in spots b and c.
then divide each number by the determinant and simplify.
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Determine the inverse of matrix A where

Determine the inverse of matrix A where
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The matrix is square, so it could have an inverse. Next you need to find the determinant which is -6. Swap the numbers in spots a and d and put a negative in front of the numbers in spots b and c.
then divide each number by the determinant and simplify.
The matrix is square, so it could have an inverse. Next you need to find the determinant which is -6. Swap the numbers in spots a and d and put a negative in front of the numbers in spots b and c.
then divide each number by the determinant and simplify.
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Determine the inverse of matrix A where

Determine the inverse of matrix A where
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The matrix is square, so it could have an inverse. Next, calculate the determinant. The determinant for this matrix is 0 so it does not have an inverse.
The matrix is square, so it could have an inverse. Next, calculate the determinant. The determinant for this matrix is 0 so it does not have an inverse.
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Determine the inverse of matrix A where

Determine the inverse of matrix A where
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A matrix must be square to have an inverse. This matrix is square, so it could have an inverse. Next the determinant of the matrix must not be 0 to have an inverse. The determinant of this matrix is -6, so it has an inverse. To find the inverse of a 3x3 matrix, first write it in augmented form.

Next find the pivot in the first column by dividing R1/2.

Next, eliminate the first column by subtracting R2-5R1 and R3-2R1

Next, find the pivot in column 2 by dividing -7R2/2

Next, eliminate the second column by subtracting R1-3R2/2 and R3+2R2

Next find the pivot in column 3 by dividing 6R3/7

Finally, Eliminate the third column by subtracting R1-20R3/7 and R2-

Now that we have the identity matrix on the left side, the right side is our answer.
A matrix must be square to have an inverse. This matrix is square, so it could have an inverse. Next the determinant of the matrix must not be 0 to have an inverse. The determinant of this matrix is -6, so it has an inverse. To find the inverse of a 3x3 matrix, first write it in augmented form.
Next find the pivot in the first column by dividing R1/2.
Next, eliminate the first column by subtracting R2-5R1 and R3-2R1
Next, find the pivot in column 2 by dividing -7R2/2
Next, eliminate the second column by subtracting R1-3R2/2 and R3+2R2
Next find the pivot in column 3 by dividing 6R3/7
Finally, Eliminate the third column by subtracting R1-20R3/7 and R2-
Now that we have the identity matrix on the left side, the right side is our answer.
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Determine the inverse of matrix A where

Determine the inverse of matrix A where
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The matrix must be square to have an inverse. This matrix is square so it could have an inverse. A matrix must also have a non-zero determinant. The determinant for this matrix is zero, so it does not have an inverse.
The matrix must be square to have an inverse. This matrix is square so it could have an inverse. A matrix must also have a non-zero determinant. The determinant for this matrix is zero, so it does not have an inverse.
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True or false: A matrix with five rows and four columns has as its inverse a matrix with four rows and five columns.
True or false: A matrix with five rows and four columns has as its inverse a matrix with four rows and five columns.
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Only a square matrix - a matrix with an equal number of rows and columns - has an inverse. Therefore, a matrix with five rows and four columns cannot even have an inverse.
Only a square matrix - a matrix with an equal number of rows and columns - has an inverse. Therefore, a matrix with five rows and four columns cannot even have an inverse.
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True or false:
If a matrix with four rows and four columns has an inverse, then the inverse also has four rows and four columns.
True or false:
If a matrix with four rows and four columns has an inverse, then the inverse also has four rows and four columns.
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The inverse of a square matrix - that is, a matrix with an equal number of rows and columns - if it exists, is equal in dimension to that matrix. Therefore, any inverse of a four-by-four matrix is itself a four-by-four matrix.
The inverse of a square matrix - that is, a matrix with an equal number of rows and columns - if it exists, is equal in dimension to that matrix. Therefore, any inverse of a four-by-four matrix is itself a four-by-four matrix.
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Calculate
, where

Calculate , where
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The first step, is to create an augmented matrix with the identity Matrix.
![A=\left[ \begin{matrix} 1 & 5 \ 2 &4 \ \end{matrix} \right | \left \begin{matrix} 1 & 0 \ 0 & 1 \ \end{matrix} \right ]](https://vt-vtwa-assets.varsitytutors.com/vt-vtwa/uploads/formula_image/image/726156/gif.latex)
To find the inverse, all we need to do is get the Identity Matrix on the left hand side.

![A=\left[ \begin{matrix} 1 & 5 \ 0 &6 \ \end{matrix} \right | \left \begin{matrix} 1 & 0 \ 2 & -1 \ \end{matrix} \right ]](https://vt-vtwa-assets.varsitytutors.com/vt-vtwa/uploads/formula_image/image/726158/gif.latex)

![A=\left[\begin{matrix} 1 & 5\ 0 & 1 \end{matrix}\right| \left.\begin{matrix} 1& 0\ \frac{1}{3}& -\frac{1}{6} \end{matrix}\right]](https://vt-vtwa-assets.varsitytutors.com/vt-vtwa/uploads/formula_image/image/726160/gif.latex)

![A=\left[\begin{matrix} 1 & 0\ 0 & 1 \end{matrix}\right| \left.\begin{matrix} -\frac{2}{3}& \frac{5}{6}\ \frac{1}{3}& -\frac{1}{6} \end{matrix}\right]](https://vt-vtwa-assets.varsitytutors.com/vt-vtwa/uploads/formula_image/image/726162/gif.latex)
Since we have the Identity Matrix on the left hand side, we are done solving for the inverse.
![A^{-1}=\left[\begin{matrix} -\frac{2}{3}& \frac{5}{6}\ \frac{1}{3}& -\frac{1}{6} \end{matrix}\right]](https://vt-vtwa-assets.varsitytutors.com/vt-vtwa/uploads/formula_image/image/726163/gif.latex)
The first step, is to create an augmented matrix with the identity Matrix.
To find the inverse, all we need to do is get the Identity Matrix on the left hand side.
Since we have the Identity Matrix on the left hand side, we are done solving for the inverse.
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Find the inverse of the matrix 
Find the inverse of the matrix
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To find the inverse, first find the determinant. In this case, the determinant is 
The inverse is found by multiplying 
To find the inverse, first find the determinant. In this case, the determinant is
The inverse is found by multiplying
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Find the inverse of the matrix 
Find the inverse of the matrix
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First, find the determinant: 
Now multiply
by the matrix
, the original matrix with 2 and 5 switched and the signs changed on -1 and 0.

First, find the determinant:
Now multiply by the matrix
, the original matrix with 2 and 5 switched and the signs changed on -1 and 0.
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