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Solve Systems of Equations Using Determinants

Solve Systems of Equations Using Determinants

By the end of this section, you will be able to: evaluate the determinant of a 2×22 \times 2 matrix, evaluate the determinant of a 3×33 \times 3 matrix, use Cramer’s Rule to solve systems of equations, and solve applications using determinants.

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 × 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 [abcd]\begin{bmatrix} a & b \\ c & d \end{bmatrix}, we first write it as abcd\begin{vmatrix} a & b \\ c & d \end{vmatrix}. To get the real number value of the determinant we subtract the products of the diagonals, as shown.

Determinant. The determinant of any square matrix [abcd]\begin{bmatrix} a & b \\ c & d \end{bmatrix}, where aa, bb, cc, and dd are real numbers, is

abcd=adbc.\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad-bc.

Example. Evaluate the determinant of (a) 4231\begin{vmatrix} 4 & -2 \\ 3 & -1 \end{vmatrix} (b) 3420\begin{vmatrix} -3 & -4 \\ -2 & 0 \end{vmatrix}.

(a) We subtract the products of the diagonals:

4231=4(1)3(2)=4+6=2.\begin{vmatrix} 4 & -2 \\ 3 & -1 \end{vmatrix} = 4(-1)-3(-2) = -4+6 = 2.

(b)

3420=3(0)(2)(4)=08=8.\begin{vmatrix} -3 & -4 \\ -2 & 0 \end{vmatrix} = -3(0)-(-2)(-4) = 0-8 = -8.

Evaluate the determinant 5324\begin{vmatrix} 5 & -3 \\ 2 & -4 \end{vmatrix}.

Evaluate the determinant 1324\begin{vmatrix} -1 & 3 \\ -2 & 4 \end{vmatrix}.

Evaluate the determinant of a 3 × 3 matrix

To evaluate the determinant of a 3×33 \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 2×22 \times 2 determinant found by eliminating the row and column in the 3×33 \times 3 determinant that contains the entry.

Minor of an entry in a 3×33 \times 3 determinant. The minor of an entry in a 3×33 \times 3 determinant is the 2×22 \times 2 determinant found by eliminating the row and column in the 3×33 \times 3 determinant that contains the entry.

To find the minor of entry a1a_1 in a1b1c1a2b2c2a3b3c3\begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix}, we eliminate the row and column that contain it — the first row and first column — and write the 2×22 \times 2 determinant that remains:

minor of a1=b2c2b3c3.\text{minor of } a_1 = \begin{vmatrix} b_2 & c_2 \\ b_3 & c_3 \end{vmatrix}.

To find the minor of entry b2b_2, we eliminate the row and column that contain it — the second row and second column — and write the 2×22 \times 2 determinant that remains:

minor of b2=a1c1a3c3.\text{minor of } b_2 = \begin{vmatrix} a_1 & c_1 \\ a_3 & c_3 \end{vmatrix}.

Example. For the determinant 423103242\begin{vmatrix} 4 & -2 & 3 \\ 1 & 0 & -3 \\ -2 & -4 & 2 \end{vmatrix}, find and then evaluate the minor of (a) a1a_1 (b) b3b_3 (c) c2c_2.

(a) We eliminate the row and column that contain a1a_1 (the first row and first column):

minor of a1=0342=0(2)(4)(3)=012=12.\text{minor of } a_1 = \begin{vmatrix} 0 & -3 \\ -4 & 2 \end{vmatrix} = 0(2)-(-4)(-3) = 0-12 = -12.

(b) We eliminate the row and column that contain b3b_3 (the third row and second column):

minor of b3=4313=4(3)1(3)=123=15.\text{minor of } b_3 = \begin{vmatrix} 4 & 3 \\ 1 & -3 \end{vmatrix} = 4(-3)-1(3) = -12-3 = -15.

(c) We eliminate the row and column that contain c2c_2 (the second row and third column):

minor of c2=4224=4(4)(2)(2)=164=20.\text{minor of } c_2 = \begin{vmatrix} 4 & -2 \\ -2 & -4 \end{vmatrix} = 4(-4)-(-2)(-2) = -16-4 = -20.

For the determinant 114021233\begin{vmatrix} 1 & -1 & 4 \\ 0 & 2 & -1 \\ -2 & -3 & 3 \end{vmatrix}, find and evaluate the minor of a1a_1.

For the determinant 210301123\begin{vmatrix} -2 & -1 & 0 \\ 3 & 0 & -1 \\ -1 & -2 & 3 \end{vmatrix}, find and evaluate the minor of b3b_3.

We are now ready to evaluate a 3×33 \times 3 determinant. To do this we expand by minors, which allows us to evaluate the 3×33 \times 3 determinant using 2×22 \times 2 determinants — which we already know how to evaluate! To evaluate a 3×33 \times 3 determinant by expanding by minors along the first row, we use the following pattern.

Expanding by minors along the first row to evaluate a 3×33 \times 3 determinant. To evaluate a 3×33 \times 3 determinant by expanding by minors along the first row, the following pattern is used. $$ \begin{vmatrix} a_1 & b_1 & c_1 \ a_2 & b_2 & c_2 \ a_3 & b_3 & c_3 \end{vmatrix} = a_1 \begin{vmatrix} b_2 & c_2 \ b_3 & c_3 \end{vmatrix}

  • b_1 \begin{vmatrix} a_2 & c_2 \ a_3 & c_3 \end{vmatrix}
  • c_1 \begin{vmatrix} a_2 & b_2 \ a_3 & b_3 \end{vmatrix} $$

Example. Evaluate the determinant 231320112\begin{vmatrix} 2 & -3 & -1 \\ 3 & 2 & 0 \\ -1 & -1 & -2 \end{vmatrix} by expanding by minors along the first row.

231320112=22012(3)3012+(1)3211\begin{vmatrix} 2 & -3 & -1 \\ 3 & 2 & 0 \\ -1 & -1 & -2 \end{vmatrix} = 2\begin{vmatrix} 2 & 0 \\ -1 & -2 \end{vmatrix} - (-3)\begin{vmatrix} 3 & 0 \\ -1 & -2 \end{vmatrix} + (-1)\begin{vmatrix} 3 & 2 \\ -1 & -1 \end{vmatrix}

=2(40)+3(60)1(3(2))=2(4)+3(6)1(1)=818+1=25.= 2(-4-0)+3(-6-0)-1(-3-(-2)) = 2(-4)+3(-6)-1(-1) = -8-18+1 = -25.

Evaluate the determinant 324012231\begin{vmatrix} 3 & -2 & 4 \\ 0 & -1 & -2 \\ 2 & 3 & -1 \end{vmatrix} by expanding by minors along the first row.

Evaluate the determinant 322214103\begin{vmatrix} 3 & -2 & -2 \\ 2 & -1 & 4 \\ -1 & 0 & -3 \end{vmatrix} by expanding by minors along the first row.

To evaluate a 3×33 \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.

Sign pattern. When expanding by minors using a row or column, the sign of the terms in the expansion follows this pattern.

+++++\begin{vmatrix} + & - & + \\ - & + & - \\ + & - & + \end{vmatrix}

Since we can expand by any row or column, how do we decide which one to use? Usually we try to pick a row or column that will make our calculation easier. If the determinant contains a 00, using the row or column that contains the 00 will make the calculations easier.

Example. Evaluate the determinant 413302543\begin{vmatrix} 4 & -1 & -3 \\ 3 & 0 & 2 \\ 5 & -4 & -3 \end{vmatrix} by expanding by minors.

To expand by minors, we look for a row or column that will make our calculations easier. Since 00 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 — watching the +-\,+\,- signs for that row:

413302543=31343+0435324154\begin{vmatrix} 4 & -1 & -3 \\ 3 & 0 & 2 \\ 5 & -4 & -3 \end{vmatrix} = -3\begin{vmatrix} -1 & -3 \\ -4 & -3 \end{vmatrix} + 0\begin{vmatrix} 4 & -3 \\ 5 & -3 \end{vmatrix} - 2\begin{vmatrix} 4 & -1 \\ 5 & -4 \end{vmatrix}

=3(312)+0(12(15))2(16(5))=3(9)+0(3)2(11)=27+0+22=49.= -3(3-12)+0(-12-(-15))-2(-16-(-5)) = -3(-9)+0(3)-2(-11) = 27+0+22 = 49.

Evaluate the determinant 213034343\begin{vmatrix} 2 & -1 & -3 \\ 0 & 3 & -4 \\ 3 & -4 & -3 \end{vmatrix} by expanding by minors.

Evaluate the determinant 213122440\begin{vmatrix} -2 & -1 & -3 \\ -1 & 2 & 2 \\ 4 & -4 & 0 \end{vmatrix} by expanding by minors.

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.

Cramer’s Rule for solving a system of two equations. For the system of equations {a1x+b1y=k1a2x+b2y=k2\left\{\begin{array}{l} a_1x+b_1y=k_1 \\ a_2x+b_2y=k_2 \end{array}\right., the solution (x,y)(x,y) can be determined by

x=DxDandy=DyDx=\tfrac{D_x}{D} \quad \text{and} \quad y=\tfrac{D_y}{D}

where

D=a1b1a2b2(coefficients of the variables)D=\begin{vmatrix} a_1 & b_1 \\ a_2 & b_2 \end{vmatrix} \quad\text{(coefficients of the variables)}

Dx=k1b1k2b2(replace the x coefficients with the constants)D_x=\begin{vmatrix} k_1 & b_1 \\ k_2 & b_2 \end{vmatrix} \quad\text{(replace the } x \text{ coefficients with the constants)}

Dy=a1k1a2k2(replace the y coefficients with the constants)D_y=\begin{vmatrix} a_1 & k_1 \\ a_2 & k_2 \end{vmatrix} \quad\text{(replace the } y \text{ coefficients with the constants)}

Example. Solve using Cramer’s Rule: {2x+y=43x2y=6\left\{\begin{array}{l} 2x+y=-4 \\ 3x-2y=-6 \end{array}\right.

Evaluate the determinant DD, using the coefficients of the variables:

D=2132=43=7.D = \begin{vmatrix} 2 & 1 \\ 3 & -2 \end{vmatrix} = -4-3 = -7.

Evaluate the determinant DxD_x. Replace the coefficients of xx, 22 and 33, with the constants, 4-4 and 6-6:

Dx=4162=8(6)=14.D_x = \begin{vmatrix} -4 & 1 \\ -6 & -2 \end{vmatrix} = 8-(-6) = 14.

Evaluate the determinant DyD_y. Replace the coefficients of yy, 11 and 2-2, with the constants, 4-4 and 6-6:

Dy=2436=12(12)=0.D_y = \begin{vmatrix} 2 & -4 \\ 3 & -6 \end{vmatrix} = -12-(-12) = 0.

Substitute in the values of DD, DxD_x, and DyD_y to find xx and yy:

x=DxD=147=2andy=DyD=07=0.x=\frac{D_x}{D}=\frac{14}{-7}=-2 \qquad \text{and} \qquad y=\frac{D_y}{D}=\frac{0}{-7}=0.

The solution is the ordered pair (2,0)(-2,0). Substituting x=2, y=0x=-2,\ y=0 into both original equations confirms (2,0)(-2,0) is the solution to the system.

Solve a system of two equations using Cramer’s Rule.

  1. Evaluate the determinant DD, using the coefficients of the variables.
  2. Evaluate the determinant DxD_x. Use the constants in place of the xx coefficients.
  3. Evaluate the determinant DyD_y. Use the constants in place of the yy coefficients.
  4. Find xx and yy: x=DxD, y=DyDx=\tfrac{D_x}{D},\ y=\tfrac{D_y}{D}.
  5. Write the solution as an ordered pair.
  6. Check that the ordered pair is a solution to both original equations.

Solve using Cramer's Rule: {3x+y=32x+3y=6\left\{\begin{array}{l} 3x+y=-3 \\ 2x+3y=6 \end{array}\right. Enter the solution as an ordered pair.

Solve using Cramer's Rule: {x+y=22x+y=4\left\{\begin{array}{l} -x+y=2 \\ 2x+y=-4 \end{array}\right. Enter the solution as an ordered pair.

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 3×33 \times 3 which will make our work more interesting!

Cramer’s Rule for solving a system of three equations. For the system of equations {a1x+b1y+c1z=k1a2x+b2y+c2z=k2a3x+b3y+c3z=k3\left\{\begin{array}{l} a_1x+b_1y+c_1z=k_1 \\ a_2x+b_2y+c_2z=k_2 \\ a_3x+b_3y+c_3z=k_3 \end{array}\right., the solution (x,y,z)(x,y,z) can be determined by

x=DxD, y=DyD, and z=DzDx=\tfrac{D_x}{D},\ y=\tfrac{D_y}{D},\ \text{and } z=\tfrac{D_z}{D}

where

D=a1b1c1a2b2c2a3b3c3(coefficients of the variables)D=\begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} \quad\text{(coefficients of the variables)}

Dx=k1b1c1k2b2c2k3b3c3(replace the x coefficients with the constants)D_x=\begin{vmatrix} k_1 & b_1 & c_1 \\ k_2 & b_2 & c_2 \\ k_3 & b_3 & c_3 \end{vmatrix} \quad\text{(replace the } x \text{ coefficients with the constants)}

Dy=a1k1c1a2k2c2a3k3c3(replace the y coefficients with the constants)D_y=\begin{vmatrix} a_1 & k_1 & c_1 \\ a_2 & k_2 & c_2 \\ a_3 & k_3 & c_3 \end{vmatrix} \quad\text{(replace the } y \text{ coefficients with the constants)}

Dz=a1b1k1a2b2k2a3b3k3(replace the z coefficients with the constants)D_z=\begin{vmatrix} a_1 & b_1 & k_1 \\ a_2 & b_2 & k_2 \\ a_3 & b_3 & k_3 \end{vmatrix} \quad\text{(replace the } z \text{ coefficients with the constants)}

Example. Solve the system of equations using Cramer’s Rule: {3x5y+4z=55x+2y+z=02x+3y2z=3\left\{\begin{array}{l} 3x-5y+4z=5 \\ 5x+2y+z=0 \\ 2x+3y-2z=3 \end{array}\right.

Evaluate the determinant DD, using the coefficients of the variables, by expanding by minors using column 11:

D=354521232=3213255432+25421D = \begin{vmatrix} 3 & -5 & 4 \\ 5 & 2 & 1 \\ 2 & 3 & -2 \end{vmatrix} = 3\begin{vmatrix} 2 & 1 \\ 3 & -2 \end{vmatrix} - 5\begin{vmatrix} -5 & 4 \\ 3 & -2 \end{vmatrix} + 2\begin{vmatrix} -5 & 4 \\ 2 & 1 \end{vmatrix}

D=3(43)5(1012)+2(58)=3(7)5(2)+2(13)=21+1026=37.D = 3(-4-3)-5(10-12)+2(-5-8) = 3(-7)-5(-2)+2(-13) = -21+10-26 = -37.

Evaluate the determinant DxD_x. Use the constants to replace the coefficients of xx, then expand by minors using column 11:

Dx=554021332=5213205432+35421D_x = \begin{vmatrix} 5 & -5 & 4 \\ 0 & 2 & 1 \\ 3 & 3 & -2 \end{vmatrix} = 5\begin{vmatrix} 2 & 1 \\ 3 & -2 \end{vmatrix} - 0\begin{vmatrix} -5 & 4 \\ 3 & -2 \end{vmatrix} + 3\begin{vmatrix} -5 & 4 \\ 2 & 1 \end{vmatrix}

Dx=5(43)0(1012)+3(58)=5(7)0+3(13)=35039=74.D_x = 5(-4-3)-0(10-12)+3(-5-8) = 5(-7)-0+3(-13) = -35-0-39 = -74.

Evaluate the determinant DyD_y. Use the constants to replace the coefficients of yy, then expand by minors using column 22:

Dy=354501232=55122+0543233451D_y = \begin{vmatrix} 3 & 5 & 4 \\ 5 & 0 & 1 \\ 2 & 3 & -2 \end{vmatrix} = -5\begin{vmatrix} 5 & 1 \\ 2 & -2 \end{vmatrix} + 0\begin{vmatrix} 5 & 4 \\ 3 & -2 \end{vmatrix} - 3\begin{vmatrix} 3 & 4 \\ 5 & 1 \end{vmatrix}

Dy=5(102)+0(1012)3(320)=5(12)+0(22)3(17)=60+0+51=111.D_y = -5(-10-2)+0(-10-12)-3(3-20) = -5(-12)+0(-22)-3(-17) = 60+0+51 = 111.

Evaluate the determinant DzD_z. Use the constants to replace the coefficients of zz, then expand by minors using column 33:

Dz=355520233=5522303523+33552D_z = \begin{vmatrix} 3 & -5 & 5 \\ 5 & 2 & 0 \\ 2 & 3 & 3 \end{vmatrix} = 5\begin{vmatrix} 5 & 2 \\ 2 & 3 \end{vmatrix} - 0\begin{vmatrix} 3 & -5 \\ 2 & 3 \end{vmatrix} + 3\begin{vmatrix} 3 & -5 \\ 5 & 2 \end{vmatrix}

Dz=5(154)0(9(10))+3(6(25))=5(11)0+3(31)=550+93=148.D_z = 5(15-4)-0(9-(-10))+3(6-(-25)) = 5(11)-0+3(31) = 55-0+93 = 148.

Find xx, yy, and zz, then write the solution as an ordered triple:

x=DxD=7437=2,y=DyD=11137=3,z=DzD=14837=4.x=\frac{D_x}{D}=\frac{-74}{-37}=2, \qquad y=\frac{D_y}{D}=\frac{111}{-37}=-3, \qquad z=\frac{D_z}{D}=\frac{148}{-37}=-4.

The solution is (2,3,4)(2,-3,-4). We leave the check, that this ordered triple is a solution to all three original equations, to you.

Solve the system of equations using Cramer's Rule: {3x+8y+2z=52x+5y3z=0x+2y2z=1\left\{\begin{array}{l} 3x+8y+2z=-5 \\ 2x+5y-3z=0 \\ x+2y-2z=-1 \end{array}\right. Enter the solution as an ordered triple.

Solve the system of equations using Cramer's Rule: {3x+y6z=32x+6y+3z=03x+2y3z=6\left\{\begin{array}{l} 3x+y-6z=-3 \\ 2x+6y+3z=0 \\ 3x+2y-3z=-6 \end{array}\right. Enter the solution as an ordered triple.

Cramer’s Rule does not work when the value of the determinant DD is 00, as this would mean we would be dividing by 00. But when D=0D=0, the system is either inconsistent or dependent.

When the value of D=0D=0 and DxD_x, DyD_y, and DzD_z are all zero, the system is consistent and dependent and there are infinitely many solutions.

When the value of D=0D=0 and DxD_x, DyD_y, and DzD_z are not all zero, the system is inconsistent and there is no solution.

Dependent and inconsistent systems of equations. For any system of equations, where the value of the determinant D=0D=0,

Value of determinantsType of systemSolution
D=0D=0 and Dx,Dy,D_x, D_y, and DzD_z are all zeroconsistent and dependentinfinitely many solutions
D=0D=0 and Dx,Dy,D_x, D_y, and DzD_z are not all zeroinconsistentno solution

In the next example, we will use the values of the determinants to find the solution of the system.

Example. Solve the system of equations using Cramer’s Rule: {x+3y=42x6y=3\left\{\begin{array}{l} x+3y=4 \\ -2x-6y=3 \end{array}\right.

Evaluate the determinant DD, using the coefficients of the variables:

D=1326=6(6)=0.D = \begin{vmatrix} 1 & 3 \\ -2 & -6 \end{vmatrix} = -6-(-6) = 0.

We cannot use Cramer’s Rule to solve this system. But by looking at the value of the determinants DxD_x and DyD_y, we can determine whether the system is dependent or inconsistent.

Dx=4336=249=33.D_x = \begin{vmatrix} 4 & 3 \\ 3 & -6 \end{vmatrix} = -24-9 = -33.

Since all the determinants are not zero, the system is inconsistent. There is no solution.

Use Cramer's Rule to solve {4x3y=88x6y=14\left\{\begin{array}{l} 4x-3y=8 \\ 8x-6y=14 \end{array}\right.

Use Cramer's Rule to solve {x=3y+42x+6y=8\left\{\begin{array}{l} x=-3y+4 \\ 2x+6y=8 \end{array}\right.

Solve applications using determinants

An interesting application of determinants allows us to test if points are collinear. Three points (x1,y1)(x_1,y_1), (x2,y2)(x_2,y_2) and (x3,y3)(x_3,y_3) are collinear if and only if the determinant below is zero.

Test for collinear points. Three points (x1,y1)(x_1,y_1), (x2,y2)(x_2,y_2) and (x3,y3)(x_3,y_3) are collinear if and only if

x1y11x2y21x3y31=0.\begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix} = 0.

We will use this property in the next example.

Example. Determine whether the points (5,5)(5,-5), (4,3)(4,-3), and (3,1)(3,-1) are collinear.

Substitute the values into the determinant, then evaluate it by expanding by minors using column 33:

551431311=1433115531+15543\begin{vmatrix} 5 & -5 & 1 \\ 4 & -3 & 1 \\ 3 & -1 & 1 \end{vmatrix} = 1\begin{vmatrix} 4 & -3 \\ 3 & -1 \end{vmatrix} - 1\begin{vmatrix} 5 & -5 \\ 3 & -1 \end{vmatrix} + 1\begin{vmatrix} 5 & -5 \\ 4 & -3 \end{vmatrix}

=1(4(9))1(5(15))+1(15(20))=1(5)1(10)+1(5)=0.= 1(-4-(-9))-1(-5-(-15))+1(-15-(-20)) = 1(5)-1(10)+1(5) = 0.

The value of the determinant is 00, so the points are collinear.

Determine whether the points (3,2)(3,-2), (5,3)(5,-3), and (1,1)(1,-1) are collinear.

Determine whether the points (4,1)(-4,-1), (6,2)(-6,2), and (2,4)(-2,-4) are collinear.

Key terms

square matrix — a matrix that has the same number of rows and columns. determinant — a real number associated with a square matrix; for [abcd]\begin{bmatrix} a & b \\ c & d \end{bmatrix}, its value is abcd=adbc\begin{vmatrix} a & b \\ c & d \end{vmatrix}=ad-bc. minor of an entry — in a 3×33\times 3 determinant, the 2×22\times 2 determinant found by eliminating the row and column that contain the entry. Cramer’s Rule — a method of solving a system of equations using the determinant of the coefficient matrix, DD, and the determinants DxD_x, DyD_y (and DzD_z) formed by replacing one column of coefficients with the constants; x=DxDx=\tfrac{D_x}{D}, and so on. collinear points — points that lie on the same line; three points are collinear if and only if the 3×33\times 3 determinant formed from their coordinates and a column of 1s1\text{s} is zero.


This section is adapted from Intermediate Algebra 2e, Section 4.6: Solve Systems of Equations Using Determinants by Lynn Marecek, MaryAnne Anthony-Smith, and Andrea Honeycutt Mathis, © OpenStax, licensed under CC BY-NC-SA 4.0. Access the original for free at openstax.org. Changes: represented determinants and the sign-pattern chart with KaTeX vmatrix notation instead of the source’s crossed-out row/column diagrams, and its step tables as single display equality chains; recreated the Dependent and Inconsistent Systems table as a markdown table; omitted the Be Prepared quiz, Media links, self-check, and section exercises; and converted the source Try Its into interactive exercises with instant feedback, reducing multi-part items to a single part each.