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HSA.REI.C.9Common CoreMathAlgebraGrades 9-12

HSA.REI.C.9: Solving Systems of Linear Equations with Inverse Matrices

In plain English: HSA.REI.C.9 is an advanced (+) Common Core algebra standard that asks students to find the inverse of a matrix when it exists and use it to solve a system of linear equations written as AX = B, so that X = A⁻¹B. Students find 2 × 2 inverses by hand, use technology for 3 × 3 or larger matrices, and recognize that a matrix with determinant 0 has no inverse. It is usually taught in Precalculus.

(+) Find the inverse of a matrix if it exists and use it to solve systems of linear equations (using technology for matrices of dimension 3 × 3 or greater).

Common Core State Standards for Mathematics · Domain: Reasoning with Equations and Inequalities (REI) · Cluster: Solve systems of equations
Also written as HSA-REI.C.9 or A-REI.9 · Official standard

01

Lesson Plan

60-65 min

Overview

Students learn to find the inverse of a square matrix, when it exists, and to use it to solve a system of linear equations. For a 2 × 2 matrix A = [a b; c d], the inverse exists exactly when the determinant ad - bc is not 0, and then A⁻¹ = (1/(ad - bc))[d -b; -c a]. Students confirm an inverse by checking that AA⁻¹ = A⁻¹A = I.

Students then write a system as AX = B, multiply both sides on the left by A⁻¹, and get X = A⁻¹B, the same way they would solve 5x = 35 by multiplying by 1/5. For 3 × 3 and larger systems, students use a graphing calculator or matrix software to find A⁻¹ and the product A⁻¹B, as the standard specifies. The lesson ends with the case where no inverse exists and what that means for the system. Matrices are written row by row, with rows separated by semicolons: [4 7; 2 4] has first row 4, 7 and second row 2, 4, and [x; y] is a column vector.

Learning Objectives

By the end of this lesson, students will be able to:

  • Compute the determinant of a 2 × 2 matrix and decide whether the matrix has an inverse
  • Find the inverse of a 2 × 2 matrix by hand and verify it by showing that AA⁻¹ = A⁻¹A = I
  • Solve a system of two linear equations by writing it as AX = B and computing X = A⁻¹B
  • Use technology to find the inverse of a 3 × 3 or larger matrix and solve the matching system
  • Explain why the inverse method fails when the determinant is 0 and what that says about the system

Prior Knowledge Required

Students should already be comfortable with:

  • Writing a system of linear equations as a matrix equation AX = B HSA.REI.C.8
  • Multiplying matrices and the identity matrix I (HSN.VM.C.8, HSN.VM.C.10)
  • Solving systems of two linear equations algebraically and graphically HSA.REI.C.6
  • Arithmetic with fractions and negative numbers

Lesson Procedure

60-65 minutes of class time across 5 phases.

  1. Warm-Up5-10 minutes

    Post two tasks side by side:

    Warm-Up Prompt

    "(1) Solve 5x = 35 without dividing: what number can you multiply both sides by? (2) Multiply [2 1; 5 3][3 -1; -5 2]. What do you notice about the result? What would happen if you multiplied in the other order?"

    For (1), students multiply by 1/5, the multiplicative inverse of 5, because (1/5)(5) = 1. For (2), the product is [1 0; 0 1] = I in both orders. Name the idea: the two matrices are inverses of each other, and I plays the role of 1. The lesson question is: if we can write a system as AX = B, can we "multiply by 1/A" to get X?

  2. Direct Instruction20 minutes

    Part 1: Finding an inverse. Define the inverse of a square matrix A as the matrix A⁻¹ with AA⁻¹ = A⁻¹A = I. For a 2 × 2 matrix, give the procedure:

    1. Compute the determinant: for A = [a b; c d], det(A) = ad - bc.
    2. Decide whether A⁻¹ exists: if det(A) = 0, A has no inverse. Stop.
    3. Swap and negate: swap a and d, and change the signs of b and c to get [d -b; -c a].
    4. Divide by the determinant: A⁻¹ = (1/det(A))[d -b; -c a].
    5. Check: multiply A by your answer. The product must be I.

    Part 2: Solving AX = B. Multiply both sides on the left by A⁻¹: A⁻¹AX = A⁻¹B, so IX = A⁻¹B and X = A⁻¹B (Diagram 1). Stress the order: A⁻¹ goes on the left of B, because matrix multiplication is not commutative, and BA⁻¹ is not even defined when B is a column. For 3 × 3 systems, enter A and B on a calculator and compute [A]⁻¹[B]. Work through the examples:

    • Find a 2 × 2 inverse

      Find the inverse of A = [4 7; 2 4]. The determinant is 4(4) - 7(2) = 2.

      Equation: A⁻¹ = (1/2)[4 -7; -2 4] = [2 -7/2; -1 2]

    • A matrix with no inverse

      Does [6 3; 4 2] have an inverse? Its determinant is 6(2) - 3(4) = 0.

      Equation: det = 0, so no inverse exists

    • Solve a 2 × 2 system

      Solve 3x + 2y = 7 and 4x + 3y = 11. Here A = [3 2; 4 3], det(A) = 1 and A⁻¹ = [3 -2; -4 3].

      Equation: X = A⁻¹[7; 11] = [21 - 22; -28 + 33] = [-1; 5], so (x, y) = (-1, 5)

    • 3 × 3 system with technology

      Solve x + y + z = 6, 2x - y + z = 3 and x + 2y - z = 2. A calculator gives det(A) = 7 and A⁻¹ = (1/7)[-1 3 2; 3 -2 1; 5 -1 -3].

      Equation: X = A⁻¹[6; 3; 2] = [1; 2; 3], so (x, y, z) = (1, 2, 3)

    • Context problem

      A student mixes a 10% saline solution with a 30% saline solution to make 20 liters of a 24% solution. With x and y liters: x + y = 20 and 0.1x + 0.3y = 4.8, or x + 3y = 48 after multiplying by 10. A = [1 1; 1 3] has det 2 and A⁻¹ = (1/2)[3 -1; -1 1].

      Equation: X = (1/2)[60 - 48; -20 + 48] = [6; 14]: 6 liters of 10% and 14 liters of 30%

    After the second example, use Diagram 2. The system 3x + 2y = 7 and 4x + 3y = 11 has a nonzero determinant, and its two lines meet in exactly one point, (-1, 5). The matrix [6 3; 4 2] has determinant 0: the system 6x + 3y = 9 and 4x + 2y = 2 describes two parallel lines with no intersection, and if the second equation were a multiple of the first, such as 4x + 2y = 6, the two lines would be the same, with infinitely many solutions. In both cases there is no single answer X = A⁻¹B, which is why A⁻¹ cannot exist. In the context example, ask students to check that both amounts are positive and that 0.1(6) + 0.3(14) = 4.8.

  3. Guided Practice15 minutes

    Pairs work four items and check each inverse by multiplying: (a) find the inverse of [5 2; 7 3] (det 1, inverse [3 -2; -7 5]); (b) find the inverse of [2 -1; 4 6] (det 16, inverse (1/16)[6 1; -4 2]); (c) decide whether [3 -6; -2 4] has an inverse (det 12 - 12 = 0, so no); (d) use the inverse from (a) to solve 5x + 2y = 1 and 7x + 3y = 2 (X = [3 -2; -7 5][1; 2] = [-1; 3]). Listen for these errors: forgetting to divide by the determinant, negating a and d instead of b and c, forgetting that dividing by a negative determinant changes every sign, and multiplying B by A⁻¹ in the wrong order.

  4. Independent Practice15 minutes

    Students work alone: (1) find the inverse of [1 3; 2 8] (det 2, inverse [4 -3/2; -1 1/2]); (2) find the value of k for which [k 4; 3 6] has no inverse (6k - 12 = 0, so k = 2); (3) solve 2x + 5y = 4 and x + 3y = 3 with an inverse matrix (A⁻¹ = [3 -5; -1 2], X = [-3; 2]); (4) use a calculator to solve 2x + y - z = 3, x + 3y + 2z = 9 and 3x - y + z = 2 (det 25, X = [1; 2; 1]). For every system, students substitute the solution into the original equations.

  5. Closure5 minutes

    Exit ticket: (1) Find the inverse of [3 1; 5 2]. (Answer: det 1, inverse [2 -1; -5 3].) (2) Use it to solve 3x + y = 4 and 5x + 2y = 9. (Answer: X = [2 -1; -5 3][4; 9] = [-1; 7].) (3) Explain in one sentence why [2 8; 1 4] has no inverse. (Its determinant is 8 - 8 = 0.)

Differentiation Strategies

For Struggling Students

  • Give a fill-in template: det = (__)(__) - (__)(__), then [__ __; __ __] with arrows showing which entries swap and which change sign
  • Start with matrices whose determinant is 1, so there is no fraction to distribute, before moving to other determinants
  • Let students check every inverse on a calculator after doing it by hand, so they get immediate feedback

For Advanced Students

  • Ask students to prove the 2 × 2 inverse formula by multiplying [a b; c d] by (1/(ad - bc))[d -b; -c a]
  • Ask students to show that (AB)⁻¹ = B⁻¹A⁻¹ for two invertible 2 × 2 matrices of their choice, and explain why the order reverses
  • Challenge: for a 3 × 3 system whose matrix has determinant 0, use the equations to decide whether there are no solutions or infinitely many

Assessment Guidance

What to Look For

Check that students compute the determinant first and stop when it is 0, instead of writing a formula with division by zero. Every inverse should be verified by a product equal to I. When students solve systems, look for X = A⁻¹B with A⁻¹ on the left, and for a substitution check at the end. For 3 × 3 systems, students should record what they entered in the calculator ([A]⁻¹[B]) and interpret a "singular matrix" message as "no inverse exists".

02

Classroom Activities

3 Activities

1

Inverse or Not? Card Sort

15 minPairs

Pairs sort 8 matrix cards into "has an inverse" and "has no inverse" by computing determinants, then find and check the inverse of every invertible matrix.

The 8 Cards

  • [3 2; 7 5], [3 9; 1 3], [5 4; 1 1], [4 -2; -6 3]
  • [2 3; 2 4], [-1 2; 3 -6], [6 5; 1 1], [0 3; -2 1]

Procedure

  • Partner A computes the determinant of a card; Partner B checks it and places the card in one of two piles
  • For each invertible matrix, the pair writes the inverse and multiplies to check that the product is I
  • Answer key: no inverse for [3 9; 1 3], [4 -2; -6 3] and [-1 2; 3 -6]; inverses [5 -2; -7 3], [1 -4; -1 5], [2 -3/2; -1 1], [1 -5; -1 6] and (1/6)[1 -3; 2 0] for the other five

Discussion Questions

  • Look at the three matrices with no inverse. How is the second row related to the first row in each one?
  • [0 3; -2 1] has a 0 in it. Why does it still have an inverse?

Modification for Distance Learning

Put the cards on a shared slide with two drop zones. Pairs drag each card and type its determinant and inverse in a text box next to it.

2

Technology Lab: 3 × 3 and 4 × 4 Systems

20 minGroups of 3

Groups model two context problems with 3 × 3 systems and solve them with a graphing calculator or online matrix calculator, as the standard asks for matrices of dimension 3 × 3 or greater.

Scenarios

  • A bakery tray of cookies uses 2 cups of flour, 1 cup of sugar and 1 cup of butter; a tray of muffins uses 3, 2 and 1; a tray of scones uses 4, 1 and 2. The bakery wants to use exactly 31 cups of flour, 13 of sugar and 14 of butter. How many trays of each? (A = [2 3 4; 1 2 1; 1 1 2], det -1, solution 3 trays of cookies, 3 of muffins, 4 of scones.)
  • A zoo charged $8 per child, $14 per adult and $10 per senior. On one morning it had 250 visitors, took in $2,860, and had as many adults as children and seniors together. (A = [1 1 1; 8 14 10; -1 1 -1], det -4, solution 70 children, 125 adults, 55 seniors.)

Procedure

  • The modeler defines the variables and writes the system; the calculator operator enters [A] and [B] and computes [A]⁻¹ and [A]⁻¹[B]; the checker substitutes the answer into every original equation
  • Groups record the determinant and one row of A⁻¹, and explain why the answer makes sense in the context
  • Groups rotate roles for the second scenario

Challenge Variation

Give the 4 × 4 system w + x + y + z = 10, 2w + x - y + z = 5, w + 3x + y - 2z = 2 and 3w - x + 2y + z = 11. Groups solve it with technology (the solution is w = 1, x = 2, y = 3, z = 4) and then change one equation so that the calculator reports that the matrix is singular.

3

Crack the Matrix Code

20 minPairs

A secret message was encoded by writing letters as numbers (A = 1, B = 2, ..., Z = 26), grouping them in pairs as column vectors, and multiplying each vector by the encoding matrix E = [2 1; 3 2]. Decoding each pair means solving the system EX = C, which students do with E⁻¹.

Procedure

  • Find E⁻¹ and check it (det 1, E⁻¹ = [2 -1; -3 2])
  • Decode the message with coded vectors [27; 41], [58; 96] and [42; 75] by computing E⁻¹ times each one. (The message is [13; 1], [20; 18], [9; 24], which spells MATRIX.)
  • Each pair encodes a six-letter word of its own with E and trades with another pair to decode

Discussion Questions

  • Why would the matrix [2 4; 1 2] be a bad encoding matrix?
  • If you only knew the coded vectors, what would you need to crack the code?
  • Why must E⁻¹ multiply the coded vector on the left?

03

Diagrams & Visual Aids

2 diagrams

Diagram 1: Solving AX = B with an Inverse Matrix

Solve 3x + 2y = 7 and 4x + 3y = 11 1. Write AX = B 3243 xy = 711 2. Multiply on the left by A⁻¹ 3-2-43 3243 xy = 3-2-43 711 3. A⁻¹A = I, so X = A⁻¹B xy = 21 - 22-28 + 33 = -15 Inverse of a 2 × 2 matrix: [a b; c d]⁻¹ = (1/(ad - bc))[d -b; -c a] Here det(A) = 3(3) - 2(4) = 1, so A⁻¹ = [3 -2; -4 3]. Blue entries mark A⁻¹.
Multiplying both sides of AX = B on the left by A⁻¹ turns A into the identity matrix, so X = A⁻¹B. For 3x + 2y = 7 and 4x + 3y = 11, the determinant is 1, A⁻¹ = [3 -2; -4 3], and X = [-1; 5].

Diagram 2: Determinant, Inverse and the Graph of the System

3x + 2y = 7, 4x + 3y = 11 -2 0 2 -2 0 2 4 6 x y (-1, 5) det [3 2; 4 3] = 1 A⁻¹ exists: one solution 6x + 3y = 9, 4x + 2y = 2 -2 0 2 -2 0 2 4 6 x y det [6 3; 4 2] = 0 No inverse: parallel lines first equation second equation
Both graphs are drawn to scale, one grid square per unit. On the left, the determinant is 1, the lines meet at the single point (-1, 5), and X = A⁻¹B gives that point. On the right, the determinant is 0, the lines y = 3 - 2x and y = 1 - 2x are parallel, and the coefficient matrix has no inverse.

04

Homework Assignment

~30 min

HSA.REI.C.9 Homework: Inverse Matrices and Systems

Directions: Show the determinant before every inverse and check every inverse by multiplying. For each system, write it as AX = B, state A⁻¹, compute X = A⁻¹B, and check the solution in the original equations. Use technology for Problem 6 and record what you entered. Matrices are written row by row: [7 3; 2 1] has rows 7, 3 and 2, 1.

Part 1: Finding Inverses (Problems 1-3)

  1. Find the inverse of each matrix, if it exists. If it does not exist, explain why. (a) [7 3; 2 1] (b) [4 6; 2 3] (c) [3 -2; 5 -4]
  2. Show that [5 -3; -3 2] and [2 3; 3 5] are inverses of each other by multiplying them in both orders.
  3. Find every value of k for which the matrix [k 6; 2 k + 1] has no inverse.

Part 2: Solving Systems with Inverses (Problems 4-6)

  1. Solve the system 4x + 5y = 2 and 3x + 4y = 1 using an inverse matrix.
  2. A coffee shop blends Colombian beans that cost $9 per pound with Ethiopian beans that cost $13 per pound to make 40 pounds of a blend worth $10.50 per pound. Write the system as AX = B, find A⁻¹, and use it to find how many pounds of each bean go into the blend.
  3. Use technology to solve x + 2y + z = 9, 2x - y + 3z = 18 and 3x + y - 2z = -3 by computing A⁻¹B. Then replace the third equation with 3x + y + 4z = 27, try to find A⁻¹ again, and explain what happens and why. (Hint: compare the new third equation with the sum of the first two.)

Rubric

CriterionFull Credit (2 pts)Partial Credit (1 pt)No Credit (0 pts)
Determinant and ExistenceDeterminant correct; existence of the inverse decided and explainedDeterminant correct but conclusion missingMissing or incorrect
Finding the InverseInverse correct and checked by a product equal to IOne sign or scaling error, or no checkMissing or incorrect
Solving with X = A⁻¹BCorrect order A⁻¹B, correct solution, checked in the equationsMethod correct with one arithmetic errorMethod missing or incorrect
Technology and InterpretationCalculator work recorded; singular case and context answers explainedAnswers correct but explanation incompleteMissing or incorrect

05

Quiz: 20 Questions

Interactive, with answers

Instructions

Work through the questions in order. Your score updates as you answer, and Reset quiz clears everything so you or your students can try again. Matrices are written row by row, with rows separated by semicolons: [4 7; 2 4] has first row 4, 7 and second row 2, 4, and [x; y] is a column vector. A calculator is allowed for questions that say to use technology.

Multiple choice: pick an option to check it. Short answer: write your answer, then reveal the model answer.

0 of 20 answered · 0 correct

  1. Question 1 of 20 · Multiple Choice

    What is the inverse of [3 5; 1 2]?

  2. Question 2 of 20 · Multiple Choice

    Which matrix has no inverse?

  3. Question 3 of 20 · Multiple Choice

    What is the determinant of [5 -2; 3 4], and does the matrix have an inverse?

  4. Question 4 of 20 · Multiple Choice

    What is the inverse of [2 4; 1 3]?

  5. Question 5 of 20 · Multiple Choice

    How can you tell that a 2 × 2 matrix M is the inverse of A?

  6. Question 6 of 20 · Multiple Choice

    A system is written as AX = B with B = [5; 2]. You are told that A⁻¹ = [4 -3; -1 1]. What is X?

  7. Question 7 of 20 · Multiple Choice

    What is the first step in solving AX = B with an inverse matrix, if A⁻¹ exists?

  8. Question 8 of 20 · Multiple Choice

    Use an inverse matrix to solve 2x + y = 5 and 7x + 4y = 18.

  9. Question 9 of 20 · Multiple Choice

    The coefficient matrix of a system of two linear equations has determinant 0. What can you conclude?

  10. Question 10 of 20 · Multiple Choice

    On a graphing calculator, the coefficient matrix is stored as [A] and the constants as [B]. Which entry solves the system?

  11. Question 11 of 20 · Multiple Choice

    Use technology to solve x + y + z = 2, x - y + 2z = 6 and 2x + y - z = -1.

  12. Question 12 of 20 · Multiple Choice

    What is the inverse of [1 2; 3 5]?

  13. Question 13 of 20 · Multiple Choice

    A museum sold 150 tickets: adult tickets at $15 and child tickets at $9, for $1,770 in total. Using X = A⁻¹B with A = [1 1; 15 9], how many adult tickets were sold?

  14. Question 14 of 20 · Multiple Choice

    A calculator shows "ERROR: SINGULAR MATRIX" when you ask for the inverse of A = [1 2 3; 4 5 6; 7 8 9]. What does this mean?

  15. Question 15 of 20 · Short Answer

    Find the inverse of [9 4; 2 1] and check your answer.

  16. Question 16 of 20 · Short Answer

    For what value of k does [3 k; 2 4] have no inverse? Explain.

  17. Question 17 of 20 · Short Answer

    Solve 5x + 3y = 1 and 3x + 2y = 0 using an inverse matrix.

  18. Question 18 of 20 · Short Answer

    A garden store sells bags of soil for $6 and bags of mulch for $4. On Tuesday it sold 55 bags for $290. Write the system as AX = B, find A⁻¹, and solve.

  19. Question 19 of 20 · Short Answer

    Use technology to solve 2x + 3y - z = -2, x - y + 4z = 15 and 3x + 2y + z = 7. State the determinant of the coefficient matrix.

  20. Question 20 of 20 · Short Answer

    Explain why the inverse method cannot solve 2x + 4y = 6 and x + 2y = 5. What are the solutions of this system?

0 of 20 answered · 0 correct

06

Frequently Asked Questions

10 Questions

What does HSA.REI.C.9 mean?

HSA.REI.C.9 means students can find the inverse of a square matrix when it has one, and use that inverse to solve a system of linear equations. Written as AX = B, the system has the solution X = A⁻¹B. Students compute 2 × 2 inverses by hand and use technology for 3 × 3 or larger matrices. It follows HSA.REI.C.8, which is about writing the system as a matrix equation.

Is HSA.REI.C.9 Algebra 2 or Precalculus?

It is usually taught in Precalculus, and sometimes in an honors Algebra II course. It is a (+) standard, which Common Core describes as additional mathematics for students who take advanced courses such as calculus, discrete mathematics or advanced statistics. It is taught together with the matrix standards HSN.VM.C.6 to HSN.VM.C.12.

How do you find the inverse of a 2 × 2 matrix?

Compute the determinant ad - bc of A = [a b; c d]. If it is 0, there is no inverse. Otherwise swap a and d, change the signs of b and c, and divide every entry by the determinant: A⁻¹ = (1/(ad - bc))[d -b; -c a]. For example, [4 7; 2 4] has determinant 2 and inverse [2 -7/2; -1 2]. Always check by multiplying: AA⁻¹ must be I.

When does a matrix not have an inverse?

A square matrix has no inverse exactly when its determinant is 0. Such a matrix is called singular. For a 2 × 2 matrix this happens when one row is a multiple of the other, as in [6 3; 4 2]. A matrix that is not square, such as a 2 × 3 matrix, never has an inverse in this sense.

Why is it X = A⁻¹B and not X = BA⁻¹?

Matrix multiplication is not commutative, so the side matters. Multiplying both sides of AX = B on the left by A⁻¹ gives A⁻¹AX = A⁻¹B, and since A⁻¹A = I, X = A⁻¹B. The product BA⁻¹ is not even defined when B is a column vector and A⁻¹ is 2 × 2 or 3 × 3, because the dimensions do not match.

Do students have to find 3 × 3 inverses by hand?

No. The standard says to use technology for matrices of dimension 3 × 3 or greater. Students should know how to enter the matrices on a graphing calculator or in matrix software, compute [A]⁻¹[B], interpret a "singular matrix" message, and check the answer by substituting it into the original equations. Finding 3 × 3 inverses by hand, for example by row reduction, is an extension usually left to linear algebra.

What are common mistakes when using inverse matrices?

Common errors are forgetting to divide by the determinant, negating a and d instead of b and c, losing signs when the determinant is negative, multiplying in the wrong order (BA⁻¹), and taking reciprocals of the entries. Checking that AA⁻¹ = I and substituting the final answer into the system catches each of these.

What does it mean for the system if the determinant is 0?

The inverse method cannot be used, and the system does not have exactly one solution. For two equations in two variables, the lines are parallel (no solution) or the same line (infinitely many solutions). To tell which, compare the equations: 6x + 3y = 9 and 4x + 2y = 2 simplify to 2x + y = 3 and 2x + y = 1, which are parallel lines.

Is the inverse method better than substitution or elimination?

For two equations by hand, elimination is often just as fast. The inverse method pays off when the same coefficient matrix is used with many different constant vectors, as in the matrix code activity, and when technology handles 3 × 3 or larger systems. It also connects solving systems to the idea of an inverse, the same idea as solving 5x = 35 by multiplying by 1/5.

How does this standard connect to later math?

It builds on writing systems as matrix equations (HSA.REI.C.8) and on matrix multiplication and the identity matrix (HSN.VM.C.8 and HSN.VM.C.10). It leads to linear algebra, where inverses, determinants and row reduction are studied for any size of matrix, and to applications in computer graphics, cryptography, economics and engineering.