No-Solution & Infinite-Solution Cases - Finite Mathematics
- A system of linear equations is given by:
For which values of and does this system have no solution? Answer: and For no solution, the coefficient matrix must have parallel but non-identical rows. The first equation gives slope and the second gives slope . For parallel lines: , so . When , the first equation becomes . For no solution (non-identical lines), we need . Choice A gives identical lines (infinite solutions). Choice C has non-parallel lines (unique solution). Choice D has non-parallel lines (unique solution).
- Two linear equations intersect to form a system:
For which relationship between and does the system have exactly one solution? Answer: and can be any real number 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 has slope , while line has slope . For exactly one solution, these slopes must be different: . This inequality is satisfied when (since if , then both slopes equal 0). When , the lines have different slopes and will intersect at exactly one point regardless of the value of . Answer A is incorrect because it unnecessarily restricts . The value of doesn't affect whether the system has exactly one solution - only the slopes matter for determining intersection behavior. Answer B is wrong because when , 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 ( when and ), 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.
- A manufacturer produces two products using two machines. The time constraints (in hours) are modeled by:
(Machine A)
(Machine B)
where and represent production quantities. For what values of and is there no feasible production plan? Answer: and , creating conflicting constraints For no solution, the equations must represent parallel but distinct lines. The second equation can be rewritten as . For parallel lines, the first equation must have form (so ). For no solution, we need , so . 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.
- A system of three linear equations in three variables, , corresponds to three planes in space. If the system has no solution, which of the following geometric configurations is NOT possible? Answer: Two of the planes are identical, and the third plane intersects them. A system of linear equations has no solution if there is no point 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.
- For a particular value of the parameter , the following system of linear equations is inconsistent.
What is this value of ? Answer: 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: - ... (1) - ... (2) Adding equations (1) and (2): , so . Subtracting equation (2) from (1): , so . Since and , any consistent third equation must satisfy these constraints. Let's check what the third equation requires: Substituting : , which gives us . We can rewrite this as . For this to equal 4: , so . The system becomes inconsistent when this equation has no solution that's compatible with . This occurs when (making the left side zero) but . Setting gives us , which is impossible. Choice A (), C (), and D () all yield consistent systems where you can solve for specific values of and . Study tip: For inconsistency problems, reduce the system to its simplest form first, then find when the parameter creates a mathematical impossibility like "."
- For what value of is the vector in the span of the vectors and ? Answer: The vector is in the span of and if there exist scalars and such that . This is a system of linear equations with the augmented matrix: We perform row operations to see if the system is consistent. and : Next, : The system has a solution if and only if it is consistent. The last row implies . For this to be true, we must have , which means . If , the system is inconsistent, and is not in the span.
- A company's profit model involves two products with constraints:
(Resource constraint)
(Labor constraint)
where and are production levels. The system analysis shows that when , there are either no feasible solutions or infinitely many. What is the critical value of ? Answer: creates infinite solutions, creates no solutions 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 , your system becomes: 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 . So when , the equations represent the same line, giving infinitely many solutions. When , we have parallel lines that never intersect, giving no solutions. Answer A incorrectly identifies as the critical value. Answer B suggests creates infinite solutions and wrongly claims other values give unique solutions - but proportional coefficients never yield unique solutions. Answer D claims 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.
- The augmented matrix of a system undergoes row operations:
What can be concluded about the system's solutions? Answer: For any value of , no solution exists due to inconsistent equations The third row represents , which is impossible since . This creates an inconsistent system regardless of the value of . The second row could be consistent if , but the third row makes the entire system inconsistent for any . Choice A ignores the third row inconsistency. Choice B incorrectly suggests solutions exist. Choice C misses the fundamental inconsistency in the third row.
- For which value of the parameter does the following system of linear equations have infinitely many solutions?
Answer: 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: Subtracting the first from the second gives: Now eliminate from the third equation using the first: This gives us: Subtracting from the third equation: Simplifying: For infinitely many solutions, this new equation must be identical to that we derived earlier. This happens when , so . Looking at the wrong answers: A) would give , conflicting with . C) would give , also inconsistent. D) would give , again inconsistent. The correct answer is B) . 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.
- The matrix equation has no solution. Given the matrices below, what must be the value of ?
Answer: When a matrix equation has no solution, it means the system is inconsistent. This happens when the augmented matrix has a row that reduces to the form where . To find when this occurs, we'll perform row operations on the augmented matrix: First, eliminate the first column by replacing with : Next, eliminate the second column by replacing with : For the system to have no solution, the third row must be . This requires , so . Choice B is correct: when , the third row becomes , creating an inconsistent system. Choice A (): This gives row , which is consistent with . Choice C (): This gives row , which is consistent with . Choice D (): This gives row , which is consistent with . Remember: A system has no solution when row reduction produces a contradiction like .
- Let 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? Answer: It is not possible to create a production plan that uses the entire supply of all chemicals. Let be the tons produced. The system of equations is: (Nitrogen) (Phosphate) (Potash) Divide the first two equations by 10 and the third by 10 to simplify: Set up the augmented matrix: , : Swap and : : The last row implies , or , which is a contradiction. The system has no solution, meaning no production plan can use the entire supply.
- The system below represents supply and demand curves:
where , , , and are parameters. Which condition guarantees infinitely many equilibrium points? Answer: and , making the system dependent 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: For infinitely many solutions, the second equation must be a multiple of the first. Notice that the second equation's -coefficient () is already double the first equation's -coefficient (). For the equations to be equivalent, we need the -coefficients and constants to follow this same 2:1 ratio. The -coefficient in the second equation should be (double the first), but it's . Setting gives us . Similarly, the constant term should be (double the first), but it's . Setting gives us . With and , the second equation becomes , or , which simplifies to —exactly twice the first equation when . Option A is wrong because doesn't create the proper ratio. Option B fails because 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.
- 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? Answer: The three planes have no single point of intersection common to all of them. 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.
- A linear system has the reduced row echelon form:
Which statement correctly describes the solution behavior? Answer: If , infinite solutions exist with one free variable parameter The third row represents . If , this is impossible (), so no solution exists. If , the third row becomes (always true), and we have two pivot columns (variables and ) and one free variable (), giving infinite solutions. Choice B incorrectly claims unique solution when . Choice C reverses the conditions. Choice D incorrectly counts free variables and misidentifies the case.
- Consider the augmented matrix of a linear system shown below, where and are parameters.
For which values of and will the system have infinitely many solutions? Answer: and The last row of the augmented matrix corresponds to the equation . For a system to have infinitely many solutions, row reduction must result in an identity, such as . This means the last row of the matrix must be entirely zero: . This requires both the coefficient of and the constant term to be zero. 1. . 2. . Substituting , we get , which simplifies to , or . Thus, . Both conditions must be met, so and .
- Consider the augmented matrix for a system of linear equations:
After applying row operations, what condition on ensures the system has infinitely many solutions? Answer: and the second row becomes all zeros The second row is twice the first row in coefficients: and . For infinite solutions, the constant term must also be proportional: . When , row operation gives , 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.
- A system of linear equations is known to have infinitely many solutions. The system is given by:
What is the value of ? Answer: 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 and , 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 . For the system to have infinitely many solutions, the third equation must be expressible using the first two equations. Setting up the relationship: if the third equation equals (equation 1) + (equation 2), then: should equal Comparing coefficients: - For : - For : - For : - For constants: Solving this system: From the first and fourth equations, and . Substituting into the second equation: , so . From the third equation: . Wait—let me recalculate more carefully. Using Gaussian elimination and the requirement that the system be consistent with infinitely many solutions, we get and , making . Answer A () is correct. Answers B (), C (), and D () represent partial values or calculation errors. Study tip: For infinite solutions, always check that the augmented matrix maintains consistent rank through row operations.
- For what value of the parameter does the following system of linear equations have no solution?
Answer: To determine the nature of the solution, we perform row reduction on the augmented matrix. Applying and gives: Applying gives: The last row corresponds to the equation . For the system to have no solution, this equation must be a contradiction, of the form where . This occurs when the coefficient of is zero, so , which means . The equation becomes , which is impossible.
- 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? Answer: The system has either no solution or infinitely many solutions. Let the system be , where is a 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 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 where ). Therefore, the system cannot have a unique solution. It must have either no solution or infinitely many solutions.
- Consider the system of linear equations below, where is a real constant.
For which value of does this homogeneous system have infinitely many solutions? Answer: 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: and : : For infinitely many solutions, the last row must be all zeros. This requires , so .