Section 4.6Solve Systems of Equations Using Determinants
Before you get started, take this readiness quiz.
Simplify: \(5(-2)-(-4)(1).\)
If you missed this problem, review Example 9.
\(-6\)
Simplify: \(-3(8-10)+(-2)(6-3)-4(-3-(-4)).\)
If you missed this problem, review Example 8.
\(-4\)
Simplify: \(\frac{-12}{-8}.\)
If you missed this problem, review Example 7.
\(\frac{3}{2}\)
In this section we will learn of another method to solve systems of linear equations called Cramer’s rule. Before we can begin to use the rule, we need to learn some new definitions and notation.
Evaluate the Determinant of a \(2\,\times \,2\) Matrix
If a matrix has the same number of rows and columns, we call it a square matrix. Each square matrix has a real number associated with it called its determinant. To find the determinant of the square matrix \([\begin{array}{l}a\,b \\ c\,d\end{array}],\) we first write it as \(|\begin{array}{l}a\,b \\ c\,d\end{array}|.\) To get the real number value of the determinant we subtract the products of the diagonals, as shown.
The determinant of any square matrix \([\begin{array}{l}a\,b \\ c\,d\end{array}],\) where a, b, c, and d are real numbers, is
\[|\begin{array}{l}a\,b \\ c\,d\end{array}|=ad-bc\]
Evaluate the determinant of ⓐ \([\begin{array}{l}4\,-2 \\ 3\,-1\end{array}]\) ⓑ \([\begin{array}{llll}-3 & & & -4 \\ -2 & & & 0\end{array}].\)
Apply ad - bc to each matrix, using its own a, b, c, and d entries.
ⓐ
ⓑ
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| Write the determinant. |
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| Subtract the products of the diagonals. |
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| Simplify. |
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| Simplify. |
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| Write the determinant. |
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| Subtract the products of the diagonals. |
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| Simplify. |
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| Simplify. |
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Evaluate the determinant of ⓐ \([\begin{array}{l}5\,-3 \\ 2\,-4\end{array}]\) ⓑ \([\begin{array}{llll}-4 & & & -6 \\ 0 & & & 7\end{array}].\)
ⓐ \(-14;\) ⓑ \(-28\)
Evaluate the determinant of ⓐ \([\begin{array}{l}-1\,3 \\ -2\,4\end{array}]\) ⓑ \([\begin{array}{llll}-7 & & & -3 \\ -5 & & & 0\end{array}].\)
ⓐ 2 ⓑ \(-15\)
Evaluate the Determinant of a \(3\,\times \,3\) Matrix
To evaluate the determinant of a \(3\,\times \,3\) matrix, we have to be able to evaluate the minor of an entry in the determinant. The minor of an entry is the \(2\,\times \,2\) determinant found by eliminating the row and column in the \(3\,\times \,3\) determinant that contains the entry.
The minor of an entry in a \(3\,\times \,3\) determinant is the \(2\,\times \,2\) determinant found by eliminating the row and column in the \(3\,\times \,3\) determinant that contains the entry.
To find the minor of entry \({a}_{1},\) we eliminate the row and column which contain it. So we eliminate the first row and first column. Then we write the \(2\,\times \,2\) determinant that remains.
To find the minor of entry \({b}_{2},\) we eliminate the row and column that contain it. So we eliminate the 2nd row and 2nd column. Then we write the \(2\,\times \,2\) determinant that remains.
For the determinant \(|\begin{array}{lllllll}4 & & & -2 & & & 3 \\ 1 & & & 0 & & & -3 \\ -2 & & & -4 & & & 2\end{array}|,\) find and then evaluate the minor of ⓐ \({a}_{1}\) ⓑ \({b}_{3}\) ⓒ \({c}_{2}.\)
For each entry, cross out its row and column, then evaluate the 2x2 determinant that remains.
ⓐ
ⓑ
ⓒ
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| Eliminate the row and column that contains \({a}_{1}.\) |
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| Write the \(2\,\times \,2\) determinant that remains. |
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| Evaluate. |
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| Simplify. |
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| Eliminate the row and column that contains \({b}_{3}.\) |
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| Write the \(2\,\times \,2\) determinant that remains. |
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| Evaluate. |
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| Simplify. |
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| Eliminate the row and column that contains \({c}_{2}.\) |
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| Write the \(2\,\times \,2\) determinant that remains. |
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| Evaluate. |
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| Simplify. |
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For the determinant \(|\begin{array}{lllllll}1 & & & -1 & & & 4 \\ 0 & & & 2 & & & -1 \\ -2 & & & -3 & & & 3\end{array}|,\) find and then evaluate the minor of ⓐ \({a}_{1}\) ⓑ \({b}_{2}\) ⓒ \({c}_{3}.\)
ⓐ 3 ⓑ 11 ⓒ 2
For the determinant \(|\begin{array}{lllllll}-2 & & & -1 & & & 0 \\ 3 & & & 0 & & & -1 \\ -1 & & & -2 & & & 3\end{array}|,\) find and then evaluate the minor of ⓐ \({a}_{2}\) ⓑ \({b}_{3}\) ⓒ \({c}_{2}.\)
ⓐ \(-3\) ⓑ 2 ⓒ 3
We are now ready to evaluate a \(3\,\times \,3\) determinant. To do this we expand by minors, which allows us to evaluate the \(3\,\times \,3\) determinant using \(2\,\times \,2\) determinants—which we already know how to evaluate!
To evaluate a \(3\,\times \,3\) determinant by expanding by minors along the first row, we use the following pattern:
Remember, to find the minor of an entry we eliminate the row and column that contains the entry.
To evaluate a \(3\,\times \,3\) determinant by expanding by minors along the first row, the following pattern:
Evaluate the determinant \(|\begin{array}{lllllll}2 & & & -3 & & & -1 \\ 3 & & & 2 & & & 0 \\ -1 & & & -1 & & & -2\end{array}|\) by expanding by minors along the first row.
Use the pattern a1·(minor of a1) − b1·(minor of b1) + c1·(minor of c1), evaluating each 2x2 minor as you go.
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| Expand by minors along the first row |
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| Evaluate each determinant. |
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| Simplify. |
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| Simplify. |
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| Simplify. |
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Evaluate the determinant \(|\begin{array}{lllllll}3 & & & -2 & & & 4 \\ 0 & & & -1 & & & -2 \\ 2 & & & 3 & & & -1\end{array}|,\) by expanding by minors along the first row.
37
Evaluate the determinant \(|\begin{array}{lllllll}3 & & & -2 & & & -2 \\ 2 & & & -1 & & & 4 \\ -1 & & & 0 & & & -3\end{array}|,\) by expanding by minors along the first row.
7
To evaluate a \(3\,\times \,3\) determinant we can expand by minors using any row or column. Choosing a row or column other than the first row sometimes makes the work easier.
When we expand by any row or column, we must be careful about the sign of the terms in the expansion. To determine the sign of the terms, we use the following sign pattern chart.
\[|\begin{array}{l}+\,-\,+ \\ -\,+\,- \\ +\,-\,+\end{array}|\]
When expanding by minors using a row or column, the sign of the terms in the expansion follow the following pattern.
\[|\begin{array}{l}+\,-\,+ \\ -\,+\,- \\ +\,-\,+\end{array}|\]
Notice that the sign pattern in the first row matches the signs between the terms in the expansion by the first row.
Since we can expand by any row or column, how do we decide which row or column to use? Usually we try to pick a row or column that will make our calculation easier. If the determinant contains a 0, using the row or column that contains the 0 will make the calculations easier.
Evaluate the determinant \(|\begin{array}{lllllll}4 & & & -1 & & & -3 \\ 3 & & & 0 & & & 2 \\ 5 & & & -4 & & & -3\end{array}|\) by expanding by minors.
Look for a row or column containing a zero — expanding along it eliminates one term of the calculation entirely.
To expand by minors, we look for a row or column that will make our calculations easier. Since 0 is in the second row and second column, expanding by either of those is a good choice. Since the second row has fewer negatives than the second column, we will expand by the second row.
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| Expand using the second row. | |
| Be careful of the signs. |
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| Evaluate each determinant. |
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| Simplify. |
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| Simplify. |
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| Add. |
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Evaluate the determinant \(|\begin{array}{lllllll}2 & & & -1 & & & -3 \\ 0 & & & 3 & & & -4 \\ 3 & & & -4 & & & -3\end{array}|\) by expanding by minors.
\(-11\)
Evaluate the determinant \(|\begin{array}{lllllll}-2 & & & -1 & & & -3 \\ -1 & & & 2 & & & 2 \\ 4 & & & -4 & & & 0\end{array}|\) by expanding by minors.
\(-12\)
Use Cramer’s Rule to Solve Systems of Equations
Cramer’s Rule is a method of solving systems of equations using determinants. It can be derived by solving the general form of the systems of equations by elimination. Here we will demonstrate the rule for both systems of two equations with two variables and for systems of three equations with three variables.
Let’s start with the systems of two equations with two variables.
For the system of equations \(\left\{\begin{array}{l}{a}_{1}x+{b}_{1}y={k}_{1} \\ {a}_{2}x+{b}_{2}y={k}_{2}\end{array}\right.,\) the solution \((x,y)\) can be determined by
Notice that to form the determinant D, we use take the coefficients of the variables.
Notice that to form the determinant \({D}_{x}\) and \({D}_{y},\) we substitute the constants for the coefficients of the variable we are finding.
Solve using Cramer’s Rule: \(\left\{\begin{array}{l}2x+y=-4 \\ 3x-2y=-6\end{array}\right..\)
Start by evaluating the determinant D from the coefficients of x and y, since both Dx and Dy get divided by it.
Solve using Cramer’s rule: \(\left\{\begin{array}{l}3x+y=-3 \\ 2x+3y=6\end{array}\right..\)
\((-\frac{15}{7},\frac{24}{7})\)
Solve using Cramer’s rule: \(\left\{\begin{array}{l}\text{-}x+y=2 \\ 2x+y=-4\end{array}\right..\)
\((-2,0)\)
- Evaluate the determinant D, using the coefficients of the variables.
- Evaluate the determinant \({D}_{x}.\) Use the constants in place of the x coefficients.
- Evaluate the determinant \({D}_{y}.\) Use the constants in place of the y coefficients.
- Find x and y. \(x=\frac{{D}_{x}}{D},\) \(y=\frac{{D}_{y}}{D}\)
- Write the solution as an ordered pair.
- Check that the ordered pair is a solution to both original equations.
To solve a system of three equations with three variables with Cramer’s Rule, we basically do what we did for a system of two equations. However, we now have to solve for three variables to get the solution. The determinants are also going to be \(3\,\times \,3\) which will make our work more interesting!
For the system of equations \(\left\{\begin{array}{l}{a}_{1}x+{b}_{1}y+{c}_{1}z={k}_{1} \\ {a}_{2}x+{b}_{2}y+{c}_{2}z={k}_{2} \\ {a}_{3}x+{b}_{3}y+{c}_{3}z={k}_{3}\end{array}\right.,\) the solution \((x,y,z)\) can be determined by
Solve the system of equations using Cramer’s Rule: \(\left\{\begin{array}{l}3x-5y+4z=5 \\ 5x+2y+z=0 \\ 2x+3y-2z=3\end{array}\right..\)
Evaluate D first, using the coefficients of x, y, and z, then form Dx, Dy, and Dz by swapping in the constants column by column.
| Evaluate the determinant D. |
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| Expand by minors using column 1. | |
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| Evaluate the determinants. |
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| Simplify. |
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| Simplify. |
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| Simplify. |
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| Evaluate the determinant \({D}_{x}.\) Use the constants to replace the coefficients of x. |
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| Expand by minors using column 1. |
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| Evaluate the determinants. |
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| Simplify. |
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| Simplify. |
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| Evaluate the determinant \({D}_{y}.\) Use the constants to replace the coefficients of y. |
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| Evaluate the determinants. |
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| Simplify. |
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| Simplify. |
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| Simplify. |
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| Evaluate the determinant \({D}_{z}.\) Use the constants to replace the coefficients of z. |
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| Evaluate the determinants. |
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| Simplify. |
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| Simplify. |
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| Simplify. |
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| Find x, y, and z. |
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| Substitute in the values. |
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| Simplify. |
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| Write the solution as an ordered triple. |
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| Check that the ordered triple is a solution to all three original equations. | We leave the check to you. |
| The solution is \((2,-3,-4).\) |
Solve the system of equations using Cramer’s Rule: \(\left\{\begin{array}{l}3x+8y+2z=-5 \\ 2x+5y-3z=0 \\ x+2y-2z=-1\end{array}\right..\)
\((-9,3,-1)\)
Solve the system of equations using Cramer’s Rule: \(\left\{\begin{array}{l}3x+y-6z=-3 \\ 2x+6y+3z=0 \\ 3x+2y-3z=-6\end{array}\right..\)
\((-6,3,-2)\)
Cramer’s rule does not work when the value of the D determinant is 0, as this would mean we would be dividing by 0. But when \(D=0,\) the system is either inconsistent or dependent.
When the value of \(D=0\) and \({D}_{x},{D}_{y}\) and \({D}_{z}\) are all zero, the system is consistent and dependent and there are infinitely many solutions.
When the value of \(D=0\) and \({D}_{x},{D}_{y}\) and \({D}_{z}\) are not all zero, the system is inconsistent and there is no solution.
For any system of equations, where the value of the determinant \(D=0,\)
\(\begin{array}{lllllll}\text{Value of determinants} & & & \text{Type of system} & & & \text{Solution} \\ D=0\,\text{and}\,{D}_{x},{D}_{y}\,\text{and}\,{D}_{z}\,\text{are all zero} & & & \text{consistent and dependent} & & & \text{infinitely many solutions} \\ D=0\,\text{and}\,{D}_{x},{D}_{y}\,\text{and}\,{D}_{z}\,\text{are not all zero} & & & \text{inconsistent} & & & \text{no solution}\end{array}\)
In the next example, we will use the values of the determinants to find the solution of the system.
Solve the system of equations using Cramer’s rule : \(\left\{\begin{array}{l}x+3y=4 \\ -2x-6y=3\end{array}\right..\)
Evaluate D first — if it turns out to be 0, Cramer's Rule can't give x and y directly, so check Dx to see whether the system is inconsistent or dependent.
\(\begin{array}{llllll} & & & & & \left\{\begin{array}{l}x+3y=4 \\ \text{-}2x-6y=3\end{array}\right. \\ \begin{array}{l}\text{Evaluate the determinant}\,D,\,\text{using the} \\ \text{coefficients of the variables.}\end{array} & & & & & D=|\begin{array}{llll}1 & & & 3 \\ -2 & & & -6\end{array}| \\ & & & & & D=-6-(-6) \\ & & & & & D=0\end{array}\)
We cannot use Cramer’s Rule to solve this system. But by looking at the value of the determinants \({D}_{x}\) and \({D}_{y},\) we can determine whether the system is dependent or inconsistent.
\(\begin{array}{llllll}\text{Evaluate the determinant}\,{D}_{x}. & & & & & \,{D}_{x}=|\begin{array}{llll}4 & & & 3 \\ 3 & & & -6\end{array}| \\ & & & & & \,{D}_{x}=-24-9 \\ & & & & & \,{D}_{x}=-33\end{array}\)
Since all the determinants are not zero, the system is inconsistent. There is no solution.
Solve the system of equations using Cramer’s rule: \(\left\{\begin{array}{l}4x-3y=8 \\ 8x-6y=14\end{array}\right..\)
no solution
Solve the system of equations using Cramer’s rule: \(\left\{\begin{array}{l}x=-3y+4 \\ 2x+6y=8\end{array}\right..\)
infinite solutions
Solve Applications using Determinants
An interesting application of determinants allows us to test if points are collinear. Three points \(({x}_{1},{y}_{1}),\) \(({x}_{2},{y}_{2})\) and \(({x}_{3},{y}_{3})\) are collinear if and only if the determinant below is zero.
\[|\begin{array}{l}{x}_{1}\,{y}_{1}\,1 \\ {x}_{2}\,{y}_{2}\,1 \\ {x}_{3}\,{y}_{3}\,1\end{array}|=0\]
Three points \(({x}_{1},{y}_{1}),\) \(({x}_{2},{y}_{2})\) and \(({x}_{3},{y}_{3})\) are collinear if and only if
\[|\begin{array}{l}{x}_{1}\,{y}_{1}\,1 \\ {x}_{2}\,{y}_{2}\,1 \\ {x}_{3}\,{y}_{3}\,1\end{array}|=0\]
We will use this property in the next example.
Determine whether the points \((5,-5),\) \((4,-3),\) and \((3,-1)\) are collinear.
Substitute the three points' coordinates into the collinearity determinant and evaluate it — collinear points make it equal 0.
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| Substitute the values into the determinant. \((5,-5),\) \((4,-3),\) and \((3,-1)\) |
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| Evaluate the determinant by expanding by minors using column 3. |
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| Evaluate the determinants. |
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| Simplify. |
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| Simplify. |
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| The value of the determinant is 0, so the points are collinear. |
Determine whether the points \((3,-2),\) \((5,-3),\) and \((1,-1)\) are collinear.
yes
Determine whether the points \((-4,-1),\) \((-6,2),\) and \((-2,-4)\) are collinear.
yes
Access these online resources for additional instruction and practice with solving systems of linear equations using determinants or Cramer's Rule.
Key Concepts
- Determinant: The determinant of any square matrix \([\begin{array}{l}a\,b \\ c\,d\end{array}],\) where a, b, c, and d are real numbers, is
\[|\begin{array}{l}a\,b \\ c\,d\end{array}|=ad-bc\]
See Example 1. - Expanding by Minors along the First Row to Evaluate a 3 × 3 Determinant: To evaluate a \(3\,\times \,3\) determinant by expanding by minors along the first row, the following pattern:
See Example 2 and Example 3.
- Sign Pattern: When expanding by minors using a row or column, the sign of the terms in the expansion follow the following pattern.
\[|\begin{array}{l}+\,-\,+ \\ -\,+\,- \\ +\,-\,+\end{array}|\]
See Example 4. - Cramer’s Rule: For the system of equations \(\left\{\begin{array}{l}{a}_{1}x+{b}_{1}y={k}_{1} \\ {a}_{2}x+{b}_{2}y={k}_{2}\end{array}\right.,\) the solution \((x,y)\) can be determined by
Notice that to form the determinant D, we use take the coefficients of the variables.
- How to solve a system of two equations using Cramer’s rule.
- Evaluate the determinant D, using the coefficients of the variables.
- Evaluate the determinant \({D}_{x}.\) Use the constants in place of the x coefficients.
- Evaluate the determinant \({D}_{y}.\) Use the constants in place of the y coefficients.
- Find x and y. \(x=\frac{{D}_{x}}{D},\) \(y=\frac{{D}_{y}}{D}.\)
- Write the solution as an ordered pair.
- Check that the ordered pair is a solution to both original equations.
- Dependent and Inconsistent Systems of Equations: For any system of equations, where the value of the determinant \(D=0,\)
\(\begin{array}{lllllll}\text{Value of determinants} & & & \text{Type of system} & & & \text{Solution} \\ D=0\,\text{and}\,{D}_{x},{D}_{y}\,\text{and}\,{D}_{z}\,\text{are all zero} & & & \text{consistent and dependent} & & & \text{infinitely many solutions} \\ D=0\,\text{and}\,{D}_{x},{D}_{y}\,\text{and}\,{D}_{z}\,\text{are not all zero} & & & \text{inconsistent} & & & \text{no solution}\end{array}\)
- Test for Collinear Points: Three points \(({x}_{1},{y}_{1}),\) \(({x}_{2},{y}_{2}),\) and \(({x}_{3},{y}_{3})\) are collinear if and only if
\[|\begin{array}{l}{x}_{1}\,{y}_{1}\,1 \\ {x}_{2}\,{y}_{2}\,1 \\ {x}_{3}\,{y}_{3}\,1\end{array}|=0\]
See Example 8.
Section Exercises
Practice Makes Perfect
Evaluate the Determinant of a 2 × 2 Matrix
In the following exercises, evaluate the determinant of each square matrix.
\([\begin{array}{l}6\,-2 \\ 3\,-1\end{array}]\)
\([\begin{array}{l}-4\,8 \\ -3\,5\end{array}]\)
4
\([\begin{array}{llll}-3 & & & 5 \\ 0 & & & -4\end{array}]\)
\([\begin{array}{llll}-2 & & & 0 \\ 7 & & & -5\end{array}]\)
10
Evaluate the Determinant of a 3 × 3 Matrix
In the following exercises, find and then evaluate the indicated minors.
\(|\begin{array}{lllllll}3 & & & -1 & & & 4 \\ -1 & & & 0 & & & -2 \\ -4 & & & 1 & & & 5\end{array}|\)
Find the minor ⓐ \({a}_{1}\) ⓑ \({b}_{2}\) ⓒ \({c}_{3}\)
\(|\begin{array}{lllllll}-1 & & & -3 & & & 2 \\ 4 & & & -2 & & & -1 \\ -2 & & & 0 & & & -3\end{array}|\)
Find the minor ⓐ \({a}_{1}\) ⓑ \({b}_{1}\) ⓒ \({c}_{2}\)
ⓐ 6 ⓑ \(-14\) ⓒ \(-6\)
\(|\begin{array}{lllllll}2 & & & -3 & & & -4 \\ -1 & & & 2 & & & -3 \\ 0 & & & -1 & & & -2\end{array}|\)
Find the minor ⓐ \({a}_{2}\) ⓑ \({b}_{2}\) ⓒ \({c}_{2}\)
\(|\begin{array}{lllllll}-2 & & & -2 & & & 3 \\ 1 & & & -3 & & & 0 \\ -2 & & & 3 & & & -2\end{array}|\)
Find the minor ⓐ \({a}_{3}\) ⓑ \({b}_{3}\) ⓒ \({c}_{3}\)
ⓐ 9 ⓑ \(-3\) ⓒ 8
In the following exercises, evaluate each determinant by expanding by minors along the first row.
\(|\begin{array}{lllllll}-2 & & & 3 & & & -1 \\ -1 & & & 2 & & & -2 \\ 3 & & & 1 & & & -3\end{array}|\)
\(|\begin{array}{lllllll}4 & & & -1 & & & -2 \\ -3 & & & -2 & & & 1 \\ -2 & & & -5 & & & 7\end{array}|\)
\(-77\)
\(|\begin{array}{lllllll}-2 & & & -3 & & & -4 \\ 5 & & & -6 & & & 7 \\ -1 & & & 2 & & & 0\end{array}|\)
\(|\begin{array}{lllllll}1 & & & 3 & & & -2 \\ 5 & & & -6 & & & 4 \\ 0 & & & -2 & & & -1\end{array}|\)
49
In the following exercises, evaluate each determinant by expanding by minors.
\(|\begin{array}{lllllll}-5 & & & -1 & & & -4 \\ 4 & & & 0 & & & -3 \\ 2 & & & -2 & & & 6\end{array}|\)
\(|\begin{array}{lllllll}4 & & & -1 & & & 3 \\ 3 & & & -2 & & & 2 \\ -1 & & & 0 & & & 4\end{array}|\)
\(-24\)
\(|\begin{array}{lllllll}3 & & & 5 & & & 4 \\ -1 & & & 3 & & & 0 \\ -2 & & & 6 & & & 1\end{array}|\)
\(|\begin{array}{lllllll}2 & & & -4 & & & -3 \\ 5 & & & -1 & & & -4 \\ 3 & & & 2 & & & 0\end{array}|\)
25
Use Cramer’s Rule to Solve Systems of Equations
In the following exercises, solve each system of equations using Cramer’s Rule.
\(\left\{\begin{array}{l}-2x+3y=3 \\ x+3y=12\end{array}\right.\)
\(\left\{\begin{array}{l}x-2y=-5 \\ 2x-3y=-4\end{array}\right.\)
\((7,6)\)
\(\left\{\begin{array}{l}x-3y=-9 \\ 2x+5y=4\end{array}\right.\)
\(\left\{\begin{array}{l}2x+y=-4 \\ 3x-2y=-6\end{array}\right.\)
\((-2,0)\)
\(\left\{\begin{array}{l}x-2y=-5 \\ 2x-3y=-4\end{array}\right.\)
\(\left\{\begin{array}{l}x-3y=-9 \\ 2x+5y=4\end{array}\right.\)
\((-3,2)\)
\(\left\{\begin{array}{l}5x-3y=-1 \\ 2x-y=2\end{array}\right.\)
\(\left\{\begin{array}{l}3x+8y=-3 \\ 2x+5y=-3\end{array}\right.\)
\((-9,3)\)
\(\left\{\begin{array}{l}6x-5y+2z=3 \\ 2x+y-4z=5 \\ 3x-3y+z=-1\end{array}\right.\)
\(\left\{\begin{array}{l}4x-3y+z=7 \\ 2x-5y-4z=3 \\ 3x-2y-2z=-7\end{array}\right.\)
\((-3,-5,4)\)
\(\left\{\begin{array}{l}2x-5y+3z=8 \\ 3x-y+4z=7 \\ x+3y+2z=-3\end{array}\right.\)
\(\left\{\begin{array}{l}11x+9y+2z=-9 \\ 7x+5y+3z=-7 \\ 4x+3y+z=-3\end{array}\right.\)
\((2,-3,-2)\)
\(\left\{\begin{array}{l}x+2z=0 \\ 4y+3z=-2 \\ 2x-5y=3\end{array}\right.\)
\(\left\{\begin{array}{l}2x+5y=4 \\ 3y-z=3 \\ 4x+3z=-3\end{array}\right.\)
\((-3,2,3)\)
\(\left\{\begin{array}{l}2y+3z=-1 \\ 5x+3y=-6 \\ 7x+z=1\end{array}\right.\)
\(\left\{\begin{array}{l}3x-z=-3 \\ 5y+2z=-6 \\ 4x+3y=-8\end{array}\right.\)
\((-2,0,-3)\)
\(\left\{\begin{array}{l}2x+y=3 \\ 6x+3y=9\end{array}\right.\)
\(\left\{\begin{array}{l}x-4y=-1 \\ -3x+12y=3\end{array}\right.\)
infinitely many solutions
\(\left\{\begin{array}{l}-3x-y=4 \\ 6x+2y=-16\end{array}\right.\)
\(\left\{\begin{array}{l}4x+3y=2 \\ 20x+15y=5\end{array}\right.\)
inconsistent
\(\left\{\begin{array}{l}x+y-3z=-1 \\ y-z=0 \\ \text{-}x+2y=1\end{array}\right.\)
\(\left\{\begin{array}{l}2x+3y+z=12 \\ x+y+z=9 \\ 3x+4y+2z=20\end{array}\right.\)
inconsistent
\(\left\{\begin{array}{l}3x+4y-3z=-2 \\ 2x+3y-z=-12 \\ x+y-2z=6\end{array}\right.\)
\(\left\{\begin{array}{l}x-2y+3z=1 \\ x+y-3z=7 \\ 3x-4y+5z=7\end{array}\right.\)
infinitely many solutions
Solve Applications Using Determinants
In the following exercises, determine whether the given points are collinear.
\((0,1),\) \((2,0),\) and \((-2,2).\)
\((0,-5),\) \((-2,-2),\) and \((2,-8).\)
yes
\((4,-3),\) \((6,-4),\) and \((2,-2).\)
\((-2,1),\) \((-4,4),\) and \((0,-2).\)
yes
Writing Exercises
Explain the difference between a square matrix and its determinant. Give an example of each.
Explain what is meant by the minor of an entry in a square matrix.
Answers will vary.
Explain how to decide which row or column you will use to expand a \(3\,\times \,3\) determinant.
Explain the steps for solving a system of equations using Cramer’s rule.
Answers will vary.
Self Check
ⓐ After completing the exercises, use this checklist to evaluate your mastery of the objectives of this section.
ⓑ After reviewing this checklist, what will you do to become confident for all objectives?
Glossary
- determinant
- Each square matrix has a real number associated with it called its determinant.
- minor of an entry in a \(3\,\times \,3\) determinant
- The minor of an entry in a \(3\,\times \,3\) determinant is the \(2\,\times \,2\) determinant found by eliminating the row and column in the \(3\,\times \,3\) determinant that contains the entry.
- square matrix
- A square matrix is a matrix with the same number of rows and columns.