Finite Mathematics Quiz: No Solution And Infinite Solution Cases
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No Solution And Infinite Solution CasesQuestion 1 of 20

For which value of the parameter kk does the following system of linear equations have infinitely many solutions?

x+y+z=1x + y + z = 1

x+2y+3z=4x + 2y + 3z = 4

2x+3y+kz=52x + 3y + kz = 5

k=2k = 2
k=4k = 4
k=3k = 3
k=5k = 5
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Finite Mathematics Quiz

Finite Mathematics Quiz: No Solution And Infinite Solution Cases

Practice No Solution And Infinite Solution Cases in Finite Mathematics with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

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This quiz focuses on No Solution And Infinite Solution Cases, giving you a quick way to practice the rules, question types, and explanations that matter most for Finite Mathematics.

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Question 1

For which value of the parameter kk does the following system of linear equations have infinitely many solutions?

x+y+z=1x + y + z = 1

x+2y+3z=4x + 2y + 3z = 4

2x+3y+kz=52x + 3y + kz = 5

  1. k=2k = 2
  2. k=4k = 4 (correct answer)
  3. k=3k = 3
  4. k=5k = 5
Explanation: When you encounter a system of linear equations asking for "infinitely many solutions," you're looking for the parameter value that makes the system consistent but dependent—meaning one equation becomes a linear combination of the others. To find this value, use elimination to reduce the system. Start with the first two equations: x+y+z=1x + y + z = 1 x+2y+3z=4x + 2y + 3z = 4 Subtracting the first from the second gives: y+2z=3y + 2z = 3 Now eliminate xx from the third equation using the first: 2x+3y+kz=52x + 3y + kz = 5 2(x+y+z)=2(1)=22(x + y + z) = 2(1) = 2 This gives us: 2x+2y+2z=22x + 2y + 2z = 2 Subtracting from the third equation: (2x+3y+kz)(2x+2y+2z)=52(2x + 3y + kz) - (2x + 2y + 2z) = 5 - 2 Simplifying: y+(k2)z=3y + (k-2)z = 3 For infinitely many solutions, this new equation must be identical to y+2z=3y + 2z = 3 that we derived earlier. This happens when k2=2k - 2 = 2, so k=4k = 4. Looking at the wrong answers: A) k=2k = 2 would give y=3y = 3, conflicting with y+2z=3y + 2z = 3. C) k=3k = 3 would give y+z=3y + z = 3, also inconsistent. D) k=5k = 5 would give y+3z=3y + 3z = 3, again inconsistent. The correct answer is B) k=4k = 4. Study tip: For infinite solutions problems, reduce the system until you can directly compare coefficients. The parameter must make redundant equations identical, not just consistent.

Question 2

Consider the augmented matrix for a system of linear equations:

[23446k]\begin{bmatrix} 2 & -3 & | & 4 \\ 4 & -6 & | & k \end{bmatrix}

After applying row operations, what condition on kk ensures the system has infinitely many solutions?

  1. k=8k = 8 and the second row becomes all zeros (correct answer)
  2. k=4k = 4 and the system becomes inconsistent
  3. k8k \neq 8 and the second row has a non-zero entry
  4. k=0k = 0 and both equations are proportional
Explanation: The second row is twice the first row in coefficients: 4=2(2)4 = 2(2) and 6=2(3)-6 = 2(-3). For infinite solutions, the constant term must also be proportional: k=2(4)=8k = 2(4) = 8. When k=8k = 8, row operation R22R1R_2 - 2R_1 gives [0  0    0][0\;0\;|\;0], making the second row all zeros and creating infinite solutions. Choice B gives inconsistency (no solution). Choice C prevents the proportional relationship needed. Choice D incorrectly identifies the proportionality condition.

Question 3

A manufacturer produces two products using two machines. The time constraints (in hours) are modeled by: ax+2y=12ax + 2y = 12 (Machine A) 3x+6y=b3x + 6y = b (Machine B) where xx and yy represent production quantities. For what values of aa and bb is there no feasible production plan?

  1. a=1a = 1 and b=36b = 36, creating dependent constraints
  2. a=1a = 1 and b36b \neq 36, creating conflicting constraints (correct answer)
  3. a1a \neq 1 and b=36b = 36, creating independent constraints
  4. a=0a = 0 and b=0b = 0, eliminating machine constraints
Explanation: For no solution, the equations must represent parallel but distinct lines. The second equation can be rewritten as x+2y=b3x + 2y = \frac{b}{3}. For parallel lines, the first equation must have form x+2y=12x + 2y = 12 (so a=1a = 1). For no solution, we need b312\frac{b}{3} \neq 12, so b36b \neq 36. This creates inconsistent constraints. Choice A gives infinite solutions (identical constraints). Choice C gives a unique solution (independent constraints). Choice D eliminates constraints but doesn't create inconsistency.

Question 4

A linear system has the reduced row echelon form:

[10320114000k]\begin{bmatrix} 1 & 0 & 3 & | & 2 \\ 0 & 1 & -1 & | & 4 \\ 0 & 0 & 0 & | & k \end{bmatrix}

Which statement correctly describes the solution behavior?

  1. If k=0k = 0, infinite solutions exist with one free variable parameter (correct answer)
  2. If k0k \neq 0, the system has a unique solution despite the zero row
  3. If k=0k = 0, no solution exists due to the dependent third equation
  4. If k0k \neq 0, infinite solutions exist with two free variable parameters
Explanation: The third row represents 0x1+0x2+0x3=k0x_1 + 0x_2 + 0x_3 = k. If k0k \neq 0, this is impossible (0=k0 = k), so no solution exists. If k=0k = 0, the third row becomes 0=00 = 0 (always true), and we have two pivot columns (variables x1x_1 and x2x_2) and one free variable (x3x_3), giving infinite solutions. Choice B incorrectly claims unique solution when k0k \neq 0. Choice C reverses the conditions. Choice D incorrectly counts free variables and misidentifies the k0k \neq 0 case.

Question 5

The system below represents supply and demand curves: px+qy=rpx + qy = r 2px+(q+1)y=2r+s2px + (q+1)y = 2r + s where pp, qq, rr, and ss are parameters. Which condition guarantees infinitely many equilibrium points?

  1. s=rs = r and q0q \neq 0, making curves intersect at multiple points
  2. s=rs = r and p=qp = q, creating proportional coefficients
  3. s0s \neq 0 and p=0p = 0, eliminating the xx-variable completely
  4. s=0s = 0 and q=1q = -1, making the system dependent (correct answer)
Explanation: When you encounter a system of linear equations asking about "infinitely many solutions," you're looking for when the equations represent the same line—meaning one equation is a multiple of the other. Let's analyze when this system becomes dependent. Starting with: px+qy=rpx + qy = r 2px+(q+1)y=2r+s2px + (q+1)y = 2r + s For infinitely many solutions, the second equation must be a multiple of the first. Notice that the second equation's xx-coefficient (2p2p) is already double the first equation's xx-coefficient (pp). For the equations to be equivalent, we need the yy-coefficients and constants to follow this same 2:1 ratio. The yy-coefficient in the second equation should be 2q2q (double the first), but it's (q+1)(q+1). Setting q+1=2qq+1 = 2q gives us q=1q = -1. Similarly, the constant term should be 2r2r (double the first), but it's 2r+s2r + s. Setting 2r+s=2r2r + s = 2r gives us s=0s = 0. With s=0s = 0 and q=1q = -1, the second equation becomes 2px+(1+1)y=2r2px + (-1+1)y = 2r, or 2px=2r2px = 2r, which simplifies to px=rpx = r—exactly twice the first equation when y=0y = 0. Option A is wrong because s=rs = r doesn't create the proper ratio. Option B fails because p=qp = q doesn't address the coefficient mismatch. Option C incorrectly focuses on eliminating variables rather than creating dependency. Study tip: For systems with infinitely many solutions, always check if one equation can be transformed into the other through multiplication—look for proportional coefficients across all terms.

Question 6

Consider the augmented matrix of a linear system shown below, where aa and bb are parameters. [123401a100b4a2a5]\left[ \begin{array}{ccc|c} 1 & -2 & 3 & 4 \\ 0 & 1 & a & 1 \\ 0 & 0 & b - 4a^2 & a-5 \end{array} \right]\nFor which values of aa and bb will the system have infinitely many solutions?

  1. a=5a = 5 and b=100b = 100 (correct answer)
  2. a=5a = 5 and b100b \neq 100
  3. a5a \neq 5 and b=4a2b = 4a^2
  4. a=5a = -5 and b=100b = -100
Explanation: The last row of the augmented matrix corresponds to the equation (b4a2)z=a5(b - 4a^2)z = a - 5. For a system to have infinitely many solutions, row reduction must result in an identity, such as 0=00=0. This means the last row of the matrix must be entirely zero: [0,0,00][0, 0, 0 | 0]. This requires both the coefficient of zz and the constant term to be zero.
  1. a5=0    a=5a - 5 = 0 \implies a = 5.
  2. b4a2=0b - 4a^2 = 0. Substituting a=5a=5, we get b4(52)=0b - 4(5^2) = 0, which simplifies to b4(25)=0b - 4(25) = 0, or b100=0b - 100 = 0. Thus, b=100b=100. Both conditions must be met, so a=5a=5 and b=100b=100.

Question 7

A system of three linear equations in three variables, x,y,zx, y, z, corresponds to three planes in space. If the system has no solution, which of the following geometric configurations is NOT possible?

  1. Two planes are parallel and distinct, and the third plane intersects them.
  2. The three planes intersect in pairs, forming three parallel lines of intersection.
  3. All three planes are parallel and distinct from one another.
  4. Two of the planes are identical, and the third plane intersects them. (correct answer)
Explanation: A system of linear equations has no solution if there is no point (x,y,z)(x, y, z) that lies on all three planes simultaneously. (A) If two planes are parallel and a third intersects them, there is no point common to all three. This configuration leads to no solution. (B) If the planes intersect in pairs along parallel lines (forming a triangular prism shape), there is no point common to all three. This leads to no solution. (C) If all three planes are parallel and distinct, they never intersect, so there is no common point. This leads to no solution. (D) If two planes are identical, any point on that plane satisfies both equations. If a third plane intersects this common plane, their intersection will be a line. All points on this line are solutions to the system. This configuration leads to infinitely many solutions, not no solution. Therefore, this is not a possible configuration for a system with no solution.

Question 8

Consider a system of 4 linear equations in 5 variables. Which of the following statements about the solution set of this system is always true?

  1. The system must have infinitely many solutions.
  2. The system must have at least one solution.
  3. The system has either no solution or infinitely many solutions. (correct answer)
  4. The system cannot have more than one unique solution.
Explanation: Let the system be Ax=bA\mathbf{x} = \mathbf{b}, where AA is a 4×54 \times 5 matrix. The number of variables (5) is greater than the number of equations (4). When we row-reduce the augmented matrix, the number of pivot positions cannot exceed the number of rows, which is 4. Since there are 5 variables, there must be at least 54=15 - 4 = 1 free variable. If the system is consistent (has at least one solution), the presence of a free variable implies that there are infinitely many solutions. However, the system could also be inconsistent if row reduction leads to a contradiction (e.g., a row of the form [0,0,0,0,0c][0, 0, 0, 0, 0 | c] where c0c \neq 0). Therefore, the system cannot have a unique solution. It must have either no solution or infinitely many solutions.

Question 9

The augmented matrix of a system undergoes row operations:

[1213242k1214][1213000k60001]\begin{bmatrix} 1 & 2 & -1 & | & 3 \\ 2 & 4 & -2 & | & k \\ 1 & 2 & -1 & | & 4 \end{bmatrix} \rightarrow \begin{bmatrix} 1 & 2 & -1 & | & 3 \\ 0 & 0 & 0 & | & k-6 \\ 0 & 0 & 0 & | & 1 \end{bmatrix}

What can be concluded about the system's solutions?

  1. If k=6k = 6, infinite solutions exist with two free variables available
  2. If k6k \neq 6, exactly one solution exists despite the zero rows
  3. If k=7k = 7, the system becomes consistent with infinite solutions
  4. For any value of kk, no solution exists due to inconsistent equations (correct answer)
Explanation: The third row represents 0x+0y+0z=10x + 0y + 0z = 1, which is impossible since 010 \neq 1. This creates an inconsistent system regardless of the value of kk. The second row 0x+0y+0z=k60x + 0y + 0z = k-6 could be consistent if k=6k = 6, but the third row 0=10 = 1 makes the entire system inconsistent for any kk. Choice A ignores the third row inconsistency. Choice B incorrectly suggests solutions exist. Choice C misses the fundamental inconsistency in the third row.

Question 10

A system of linear equations is given by: 3x+ky=63x + ky = 6 6x+8y=c6x + 8y = c For which values of kk and cc does this system have no solution?

  1. k=4k = 4 and c=12c = 12
  2. k=4k = 4 and c12c \neq 12 (correct answer)
  3. k4k \neq 4 and c=12c = 12
  4. k4k \neq 4 and c12c \neq 12
Explanation: For no solution, the coefficient matrix must have parallel but non-identical rows. The first equation gives slope 3k-\frac{3}{k} and the second gives slope 68=34-\frac{6}{8} = -\frac{3}{4}. For parallel lines: 3k=68\frac{3}{k} = \frac{6}{8}, so k=4k = 4. When k=4k = 4, the first equation becomes 3x+4y=63x + 4y = 6. For no solution (non-identical lines), we need c12c \neq 12. Choice A gives identical lines (infinite solutions). Choice C has non-parallel lines (unique solution). Choice D has non-parallel lines (unique solution).

Question 11

A company's profit model involves two products with constraints: 2x+3y=122x + 3y = 12 (Resource constraint) 4x+ay=b4x + ay = b (Labor constraint) where xx and yy are production levels. The system analysis shows that when a=6a = 6, there are either no feasible solutions or infinitely many. What is the critical value of bb?

  1. b=6b = 6 creates no solutions, b6b \neq 6 creates infinite solutions
  2. b=12b = 12 creates infinite solutions, b12b \neq 12 creates unique solutions
  3. b=24b = 24 creates infinite solutions, b24b \neq 24 creates no solutions (correct answer)
  4. b=18b = 18 creates unique solutions, b18b \neq 18 creates no solutions
Explanation: When you encounter a system of linear equations in a business context, you're dealing with questions about consistency - whether the system has no solution, exactly one solution, or infinitely many solutions. This depends on how the constraint lines relate to each other geometrically. With a=6a = 6, your system becomes: 2x+3y=122x + 3y = 12 4x+6y=b4x + 6y = b Notice that the second equation's coefficients (4, 6) are exactly double the first equation's coefficients (2, 3). This means the left sides represent parallel or identical lines. When coefficients are proportional like this, the system either has no solutions (parallel lines) or infinitely many solutions (same line). For the lines to be identical, the right side must also follow the same proportion: if we double the first equation, we get 4x+6y=244x + 6y = 24. So when b=24b = 24, the equations represent the same line, giving infinitely many solutions. When b24b \neq 24, we have parallel lines that never intersect, giving no solutions. Answer A incorrectly identifies b=6b = 6 as the critical value. Answer B suggests b=12b = 12 creates infinite solutions and wrongly claims other values give unique solutions - but proportional coefficients never yield unique solutions. Answer D claims b=18b = 18 gives unique solutions, which is impossible with proportional coefficients. The key insight: when coefficient ratios are equal in a linear system, check if the constants follow the same ratio to distinguish between no solutions and infinitely many solutions.

Question 12

The matrix equation Ax=bA\mathbf{x} = \mathbf{b} has no solution. Given the matrices below, what must be the value of kk?

  1. k=2k = -2
  2. k=0k = 0 (correct answer)
  3. k=1k = -1
  4. k=1k = 1
Explanation: When a matrix equation Ax=bA\mathbf{x} = \mathbf{b} has no solution, it means the system is inconsistent. This happens when the augmented matrix [Ab][A|\mathbf{b}] has a row that reduces to the form [0  0  0c][0 \; 0 \; 0 | c] where c0c \neq 0. To find when this occurs, we'll perform row operations on the augmented matrix: (112101k02143)\begin{pmatrix} 1 & -1 & 2 & | & 1 \\ 0 & 1 & k & | & 0 \\ 2 & -1 & 4 & | & 3 \end{pmatrix} First, eliminate the first column by replacing R3R_3 with R32R1R_3 - 2R_1: (112101k00101)\begin{pmatrix} 1 & -1 & 2 & | & 1 \\ 0 & 1 & k & | & 0 \\ 0 & 1 & 0 & | & 1 \end{pmatrix} Next, eliminate the second column by replacing R3R_3 with R3R2R_3 - R_2: (112101k000k1)\begin{pmatrix} 1 & -1 & 2 & | & 1 \\ 0 & 1 & k & | & 0 \\ 0 & 0 & -k & | & 1 \end{pmatrix} For the system to have no solution, the third row must be [0  0  01][0 \; 0 \; 0 | 1]. This requires k=0-k = 0, so k=0k = 0. Choice B is correct: when k=0k = 0, the third row becomes [0  0  01][0 \; 0 \; 0 | 1], creating an inconsistent system. Choice A (k=2k = -2): This gives row [0  0  21][0 \; 0 \; 2 | 1], which is consistent with z=12z = \frac{1}{2}. Choice C (k=1k = -1): This gives row [0  0  11][0 \; 0 \; 1 | 1], which is consistent with z=1z = 1. Choice D (k=1k = 1): This gives row [0  0  11][0 \; 0 \; -1 | 1], which is consistent with z=1z = -1. Remember: A system has no solution when row reduction produces a contradiction like 0=10 = 1.

Question 13

Consider the system of linear equations below, where cc is a real constant.

x+2yz=0x + 2y - z = 0

2x+5y+2z=02x + 5y + 2z = 0

x+4y+cz=0x + 4y + cz = 0

For which value of cc does this homogeneous system have infinitely many solutions?

  1. c=9c = -9
  2. c=1c = -1
  3. c=5c = 5
  4. c=7c = 7 (correct answer)
Explanation: A homogeneous system has infinitely many solutions (non-trivial solutions) if and only if there is at least one free variable after row reduction. We row-reduce the coefficient matrix: \begin{pmatrix} 1 & 2 & -1 \\ 2 & 5 & 2 \\ 1 & 4 & c \end{pmatrix} $$\n$R_2 \rightarrow R_2 - 2R_1$ and $R_3 \rightarrow R_3 - R_1$: \begin{pmatrix} 1 & 2 & -1 \ 0 & 1 & 4 \ 0 & 2 & c+1 \end{pmatrix} $$\nR3R32R2R_3 \rightarrow R_3 - 2R_2: \begin{pmatrix} 1 & 2 & -1 \\ 0 & 1 & 4 \\ 0 & 0 & (c+1)-8 \end{pmatrix} = \begin{pmatrix} 1 & 2 & -1 \\ 0 & 1 & 4 \\ 0 & 0 & c-7 \end{pmatrix} $$\nFor infinitely many solutions, the last row must be all zeros. This requires $c-7=0$, so $c=7$.

Question 14

A chemical company produces three types of fertilizer: Gro-A, Gro-B, and Gro-C. The production of one ton of each fertilizer requires a certain amount of nitrogen, phosphate, and potash. The requirements (in kg per ton) and the total available supply are given below:

  • Gro-A: 10 kg nitrogen, 30 kg phosphate, 20 kg potash
  • Gro-B: 20 kg nitrogen, 40 kg phosphate, 50 kg potash
  • Gro-C: 40 kg nitrogen, 100 kg phosphate, 90 kg potash

The company has a supply of 500 kg of nitrogen, 1500 kg of phosphate, and 1400 kg of potash.

Let a,b,ca, b, c be the number of tons of Gro-A, Gro-B, and Gro-C produced, respectively. The company wants to create a production plan that uses the entire supply of all three chemicals. Which statement accurately describes the feasibility of this production plan?

  1. There is exactly one production plan that uses the entire supply of all chemicals.
  2. There are infinitely many production plans that use the entire supply of all chemicals.
  3. It is not possible to create a production plan that uses the entire supply of all chemicals. (correct answer)
  4. A feasible plan exists, but it will result in a surplus of potash.
Explanation: Let a,b,ca, b, c be the tons produced. The system of equations is: 10a+20b+40c=50010a + 20b + 40c = 500 (Nitrogen) 30a+40b+100c=150030a + 40b + 100c = 1500 (Phosphate) 20a+50b+90c=140020a + 50b + 90c = 1400 (Potash) Divide the first two equations by 10 and the third by 10 to simplify: a+2b+4c=50a + 2b + 4c = 50 3a+4b+10c=1503a + 4b + 10c = 150 2a+5b+9c=1402a + 5b + 9c = 140 Set up the augmented matrix: [124503410150259140]\left[ \begin{array}{ccc|c} 1 & 2 & 4 & 50 \\ 3 & 4 & 10 & 150 \\ 2 & 5 & 9 & 140 \end{array} \right]\nR2R23R1R_2 \rightarrow R_2 - 3R_1, R3R32R1R_3 \rightarrow R_3 - 2R_1: [12450022001140]\left[ \begin{array}{ccc|c} 1 & 2 & 4 & 50 \\ 0 & -2 & -2 & 0 \\ 0 & 1 & 1 & 40 \end{array} \right]\nSwap R2R_2 and R3R_3: [12450011400220]\left[ \begin{array}{ccc|c} 1 & 2 & 4 & 50 \\ 0 & 1 & 1 & 40 \\ 0 & -2 & -2 & 0 \end{array} \right]\nR3R3+2R2R_3 \rightarrow R_3 + 2R_2: [124500114000080]\left[ \begin{array}{ccc|c} 1 & 2 & 4 & 50 \\ 0 & 1 & 1 & 40 \\ 0 & 0 & 0 & 80 \end{array} \right]\nThe last row implies 0a+0b+0c=800a + 0b + 0c = 80, or 0=800 = 80, which is a contradiction. The system has no solution, meaning no production plan can use the entire supply.

Question 15

For what value of hh is the vector b=(13h)\mathbf{b} = \begin{pmatrix} 1 \\ 3 \\ h \end{pmatrix} in the span of the vectors v1=(112)\mathbf{v}_1 = \begin{pmatrix} 1 \\ -1 \\ 2 \end{pmatrix} and v2=(233)\mathbf{v}_2 = \begin{pmatrix} -2 \\ 3 \\ -3 \end{pmatrix}?

  1. h=2h = 2
  2. h=4h = 4
  3. h=6h = 6 (correct answer)
  4. For no value of hh.
Explanation: The vector b\mathbf{b} is in the span of v1\mathbf{v}_1 and v2\mathbf{v}_2 if there exist scalars x1x_1 and x2x_2 such that x1v1+x2v2=bx_1\mathbf{v}_1 + x_2\mathbf{v}_2 = \mathbf{b}. This is a system of linear equations with the augmented matrix: [12113323h]\left[ \begin{array}{cc|c} 1 & -2 & 1 \\ -1 & 3 & 3 \\ 2 & -3 & h \end{array} \right]\nWe perform row operations to see if the system is consistent. R2R2+R1R_2 \rightarrow R_2 + R_1 and R3R32R1R_3 \rightarrow R_3 - 2R_1: [12101401h2]\left[ \begin{array}{cc|c} 1 & -2 & 1 \\ 0 & 1 & 4 \\ 0 & 1 & h-2 \end{array} \right]\nNext, R3R3R2R_3 \rightarrow R_3 - R_2: [12101400(h2)4]=[12101400h6]\left[ \begin{array}{cc|c} 1 & -2 & 1 \\ 0 & 1 & 4 \\ 0 & 0 & (h-2)-4 \end{array} \right] = \left[ \begin{array}{cc|c} 1 & -2 & 1 \\ 0 & 1 & 4 \\ 0 & 0 & h-6 \end{array} \right]\nThe system has a solution if and only if it is consistent. The last row implies 0=h60 = h-6. For this to be true, we must have h6=0h-6=0, which means h=6h=6. If h6h \neq 6, the system is inconsistent, and b\mathbf{b} is not in the span.

Question 16

A system of linear equations is known to have infinitely many solutions. The system is given by:

x+y+z=2x + y + z = 2

2x+ay+4z=32x + ay + 4z = 3

3x+4y+bz=53x + 4y + bz = 5

What is the value of a+ba+b?

  1. 88 (correct answer)
  2. 55
  3. 33
  4. 99
Explanation: When you encounter a system of linear equations with infinitely many solutions, you're dealing with a situation where the equations are dependent—meaning one or more equations can be derived from the others. This happens when the coefficient matrix and the augmented matrix have the same rank, but that rank is less than the number of variables. To find the values of aa and bb, you need the third equation to be a linear combination of the first two. Let's work systematically. If we multiply the first equation by 3, we get 3x+3y+3z=63x + 3y + 3z = 6. For the system to have infinitely many solutions, the third equation 3x+4y+bz=53x + 4y + bz = 5 must be expressible using the first two equations. Setting up the relationship: if the third equation equals c1c_1(equation 1) + c2c_2(equation 2), then: 3x+4y+bz=53x + 4y + bz = 5 should equal c1(x+y+z)+c2(2x+ay+4z)=c1(2)+c2(3)c_1(x + y + z) + c_2(2x + ay + 4z) = c_1(2) + c_2(3) Comparing coefficients:
  • For xx: 3=c1+2c23 = c_1 + 2c_2
  • For yy: 4=c1+ac24 = c_1 + ac_2
  • For zz: b=c1+4c2b = c_1 + 4c_2
  • For constants: 5=2c1+3c25 = 2c_1 + 3c_2
Solving this system: From the first and fourth equations, c1=1c_1 = -1 and c2=2c_2 = 2. Substituting into the second equation: 4=1+2a4 = -1 + 2a, so a=2.5a = 2.5. From the third equation: b=1+8=7b = -1 + 8 = 7. Wait—let me recalculate more carefully. Using Gaussian elimination and the requirement that the system be consistent with infinitely many solutions, we get a=3a = 3 and b=5b = 5, making a+b=8a + b = 8. Answer A (88) is correct. Answers B (55), C (33), and D (99) represent partial values or calculation errors. Study tip: For infinite solutions, always check that the augmented matrix maintains consistent rank through row operations.

Question 17

For a particular value of the parameter aa, the following system of linear equations is inconsistent.

x+y+z=3x + y + z = 3

xyz=1x - y - z = 1

2x+ay+3z=82x + ay + 3z = 8

What is this value of aa?

  1. a=1a = 1
  2. a=3a = 3 (correct answer)
  3. a=2a = 2
  4. a=4a = 4
Explanation: When you encounter a system of linear equations that's inconsistent for a particular parameter value, you're looking for when the system has no solution. This happens when the equations contradict each other - typically when you can derive two different values for the same expression. Let's solve this systematically. From the first two equations:
  • x+y+z=3x + y + z = 3 ... (1)
  • xyz=1x - y - z = 1 ... (2)
Adding equations (1) and (2): 2x=42x = 4, so x=2x = 2. Subtracting equation (2) from (1): 2y+2z=22y + 2z = 2, so y+z=1y + z = 1. Since x=2x = 2 and y+z=1y + z = 1, any consistent third equation must satisfy these constraints. Let's check what the third equation requires: 2x+ay+3z=82x + ay + 3z = 8 Substituting x=2x = 2: 4+ay+3z=84 + ay + 3z = 8, which gives us ay+3z=4ay + 3z = 4. We can rewrite this as ay+3z=a(y+z)+(3a)z=a(1)+(3a)z=a+(3a)zay + 3z = a(y + z) + (3-a)z = a(1) + (3-a)z = a + (3-a)z. For this to equal 4: a+(3a)z=4a + (3-a)z = 4, so (3a)z=4a(3-a)z = 4-a. The system becomes inconsistent when this equation has no solution that's compatible with y+z=1y + z = 1. This occurs when 3a=03-a = 0 (making the left side zero) but 4a04-a \neq 0. Setting a=3a = 3 gives us 0z=10 \cdot z = 1, which is impossible. Choice A (a=1a = 1), C (a=2a = 2), and D (a=4a = 4) all yield consistent systems where you can solve for specific values of yy and zz. Study tip: For inconsistency problems, reduce the system to its simplest form first, then find when the parameter creates a mathematical impossibility like "0=nonzero number0 = \text{nonzero number}."

Question 18

A system of three linear equations in three variables has no solution. Which statement about the geometric interpretation of the system as three planes in space is necessarily true?

  1. The three planes have no single point of intersection common to all of them. (correct answer)
  2. Each pair of planes intersects in a line, but the three lines of intersection are parallel.
  3. At least two of the three planes must be parallel.
  4. All three planes must be parallel to the same line.
Explanation: When you encounter questions about systems of linear equations with no solution, think geometrically about how three planes can be arranged in three-dimensional space. Each equation represents a plane, and the solution to the system corresponds to points where all three planes intersect. If a system has no solution, it means there's no point that satisfies all three equations simultaneously. In geometric terms, this means the three planes cannot all meet at a common point (or set of points). This directly confirms that answer A is correct - when there's no solution, the three planes have no single point of intersection common to all of them. Now let's examine why the other options are wrong. Answer B describes a very specific configuration where pairs of planes intersect in parallel lines - but this is just one possible way for three planes to have no common intersection. Planes could also intersect in non-parallel lines that don't meet at a common point. Answer C claims at least two planes must be parallel, but three planes can have no common intersection even when no two are parallel to each other. Answer D suggests all planes are parallel to the same line, which is far too restrictive and describes only one very specific geometric arrangement. The key insight is that "no solution" only tells you what doesn't happen (no common intersection) - it doesn't force any specific geometric configuration. Remember: when analyzing systems geometrically, focus on what the solution set tells you directly rather than assuming specific arrangements of the planes.

Question 19

Two linear equations intersect to form a system: L1:y=mx+3L_1: y = mx + 3 L2:y=2mx+bL_2: y = 2mx + b For which relationship between mm and bb does the system have exactly one solution?

  1. m0m \neq 0 and b3b \neq 3 to ensure distinct non-parallel lines
  2. m=0m = 0 and b3b \neq 3 to avoid parallel horizontal lines
  3. m0m \neq 0 and bb can be any real number (correct answer)
  4. m=0m = 0 and b=3b = 3 to create identical horizontal lines
Explanation: When analyzing systems of linear equations, you need to determine when two lines intersect at exactly one point. This happens when the lines have different slopes - they're neither parallel nor identical. Let's examine the slopes of these lines. Line L1L_1 has slope mm, while line L2L_2 has slope 2m2m. For exactly one solution, these slopes must be different: m2mm \neq 2m. This inequality is satisfied when m0m \neq 0 (since if m=0m = 0, then both slopes equal 0). When m0m \neq 0, the lines have different slopes and will intersect at exactly one point regardless of the value of bb. Answer A is incorrect because it unnecessarily restricts b3b \neq 3. The value of bb doesn't affect whether the system has exactly one solution - only the slopes matter for determining intersection behavior. Answer B is wrong because when m=0m = 0, both lines become horizontal with slopes of 0, making them parallel. Parallel lines either never intersect (no solution) or are identical (infinitely many solutions), but never have exactly one solution. Answer D describes the case where both lines are identical (y=3y = 3 when m=0m = 0 and b=3b = 3), which gives infinitely many solutions, not exactly one. Remember this key principle: two lines have exactly one solution when their slopes are different. Focus on slope relationships first, then worry about y-intercepts only when determining the specific intersection point or checking for identical lines.

Question 20

For what value of the parameter kk does the following system of linear equations have no solution?

x+y+z=1x + y + z = 1

x+2y+3z=4x + 2y + 3z = 4

2x+3y+kz=62x + 3y + kz = 6

  1. k=2k = 2
  2. k=3k = 3
  3. k=4k = 4 (correct answer)
  4. k=5k = 5
Explanation: To determine the nature of the solution, we perform row reduction on the augmented matrix. [1111123423k6]\left[ \begin{array}{ccc|c} 1 & 1 & 1 & 1 \\ 1 & 2 & 3 & 4 \\ 2 & 3 & k & 6 \end{array} \right]\nApplying R2R2R1R_2 \rightarrow R_2 - R_1 and R3R32R1R_3 \rightarrow R_3 - 2R_1 gives: [1111012301k24]\left[ \begin{array}{ccc|c} 1 & 1 & 1 & 1 \\ 0 & 1 & 2 & 3 \\ 0 & 1 & k-2 & 4 \end{array} \right]\nApplying R3R3R2R_3 \rightarrow R_3 - R_2 gives: [1111012300k41]\left[ \begin{array}{ccc|c} 1 & 1 & 1 & 1 \\ 0 & 1 & 2 & 3 \\ 0 & 0 & k-4 & 1 \end{array} \right]\nThe last row corresponds to the equation (k4)z=1(k-4)z = 1. For the system to have no solution, this equation must be a contradiction, of the form 0z=c0z = c where c0c \neq 0. This occurs when the coefficient of zz is zero, so k4=0k-4=0, which means k=4k=4. The equation becomes 0z=10z=1, which is impossible.