CUET UG Applied Mathematics Booster Test 2 - Geometry, Real-Life, and Economic Models
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QUESTION 1 OF 20
If the given mathematical area of a triangle is 35 sq. units, what must the absolute determinant equation evaluate to before breaking the modulus to solve for an unknown vertex coordinate?
QUESTION 2 OF 20
Match the determinant equation components with their respective geometric meaning or procedural step.
| List I | List II |
|---|---|
| 1. The column of 1s in the triangle determinant | a. Adjusts the standard parallelogram determinant calculation to a triangle. |
| 2. Multiplying the determinant by ½ | b. Ensures the matrix is square (3x3) to allow determinant calculation for 2D coordinates. |
| 3. Taking the modulus of the determinant | c. Evaluates if the three coordinate points are completely collinear. |
| 4. Setting the determinant equal to 0 | d. Corrects the final output because physical area cannot be a negative quantity. |
QUESTION 3 OF 20
For points P(3, −2), Q(8, 8), and R(k, 2) to be collinear, the area determinant equals 0. Which of the following mathematical steps are valid in solving this?
1. (1/2) ×
| 3 −2 1 |
| 8 8 1 | = 0
| k 2 1 |
1. The scalar multiplier (1/2) can be mathematically eliminated by multiplying both sides by 2.
2. Expanding the determinant yields a linear equation in terms of k.
3. The value of k will yield two different answers because area uses a ± modulus.
QUESTION 4 OF 20
Identify the mathematically INCORRECT assumption when applying determinant collinearity rules:
QUESTION 5 OF 20
In a mixture of real-life matrix modeling, shopkeepers A, B, and C sell varied bags. If Shopkeeper A uses 20 polythene, 30 handmade, and 40 newspaper bags, how is this strictly represented in a standard row matrix?
QUESTION 6 OF 20
Under matrix algebra constraints, if a sales data matrix S is structured as a 3x2 matrix (3 shops, 2 item types), and the profit per item matrix P is 2x1, what is the defined order of the resultant total profit matrix?
QUESTION 7 OF 20
Formulate the EMI (Equated Matrix Integer) equation to find the individual bag costs. If the augmented matrix maps Row 1 as [20, 30, 40 | 250], what is the simplified linear equation representing this?
QUESTION 8 OF 20
If an organization tracks a moving promotional campaign, calculating matrix X (quantities) multiplied by matrix C (costs), what mathematical condition must be true for the campaign costs to be successfully computed?
QUESTION 9 OF 20
If an economic system's input-output matrix yields a determinant |I - A| that evaluates precisely to -3/12, what is the probability that the system is viable according to Hawkins-Simon?
QUESTION 10 OF 20
In the Leontief model, the "Total Output" vector represents the sum of which two distinct mathematical components?
QUESTION 11 OF 20
To properly map the fractional "area" of the Technology Matrix A, if Sector 1 produces 10 total units and consumes 2 itself, and Sector 2 produces 20 total units and consumes 5 from Sector 1, what constitutes the first row of matrix A?
QUESTION 12 OF 20
Evaluate the integral stability matrix (I - A) if the Technology Matrix A evaluates to Row 1: [0.2, 0.3] and Row 2: [0.4, 0.1]. What is the calculated value of (I - A)?
QUESTION 13 OF 20
Deriving from the fundamental Leontief equation D = X - AX, factoring out the requirement output matrix X mathematically results in which intermediate expression?
QUESTION 14 OF 20
When predicting future market stability, if the external Demand matrix (D) changes, how is the new Requirement Output (X) strictly calculated?
QUESTION 15 OF 20
If evaluating the Hawkins-Simon conditions yields |I - A| = 19/90, what is the immediate mathematical and economic conclusion regarding this specific condition?
QUESTION 16 OF 20
To verify the first Hawkins-Simon rule on a 2x2 (I - A) matrix configured as Row 1: [3/5, -5/8] and Row 2: [-1/5, 3/8], you calculate the determinant as:
**Correct Answer: B) (3/5 * 3/8) - (-5/8 * -1/5)**
QUESTION 17 OF 20
During the verification of economic stability, you observe the matrix (I - A) has principal diagonal elements of 4/5 and 4/5. According to the second Hawkins-Simon condition, what does this signify?
QUESTION 18 OF 20
If a Leontief input-output calculation reveals that |I - A| evaluates to exactly -1/10, what is the ultimate conclusion about the system's viability?
QUESTION 19 OF 20
According strictly to the passage, the principal diagonal elements of the (I - A) matrix conceptually represent what economic reality?
QUESTION 20 OF 20
If the determinant |I - A| crashes strictly below zero, what is the consequence for the interlinked sectors according to the passage's stated constraints?
Test Complete!
Answer Review
1 If the given mathematical area of a triangle is 35 sq. units, what must the absolute determinant equation evaluate to before breaking the modulus to solve for an unknown vertex coordinate?
�� Area of triangle = ½ × |Determinant| �� Given area = 35 sq. units �� Therefore determinant magnitude = 70
The triangle area formula using determinants is Area = ½|D|. If the area is 35, then |D| = 70. Hence the determinant before applying modulus can be either +70 or −70. Option C is correct. Option A ignores the factor ½. Option B gives incorrect magnitude. Option D applies only to collinear points.
- �� Option A → The determinant itself is not equal to the area. The determinant magnitude must be doubled before comparison.
- �� Option B → Although determinant can be positive or negative, its magnitude should be 70, not 35.
- �� Option D → A determinant of 0 indicates collinear points and zero area, not area 35.
Used: Substitution
Application: Substitute the given area value into the determinant area formula and solve directly.
Final Logic: 35 = ½|D| ⇒ |D| = 70 ⇒ D = ±70.
"Area Half, Determinant Double."
2 Match the determinant equation components with their respective geometric meaning or procedural step.
| List I | List II |
|---|---|
| 1. The column of 1s in the triangle determinant | a. Adjusts the standard parallelogram determinant calculation to a triangle. |
| 2. Multiplying the determinant by ½ | b. Ensures the matrix is square (3x3) to allow determinant calculation for 2D coordinates. |
| 3. Taking the modulus of the determinant | c. Evaluates if the three coordinate points are completely collinear. |
| 4. Setting the determinant equal to 0 | d. Corrects the final output because physical area cannot be a negative quantity. |
�� Column of 1s forms a 3×3 determinant �� Half factor gives triangle area �� Modulus removes negative area �� Zero determinant implies collinearity
The column of 1s converts coordinate data into a square determinant. Multiplication by ½ converts the parallelogram measure into triangle area. Modulus ensures area remains non-negative. A determinant equal to zero signifies that the three points lie on one straight line. Therefore, option A correctly matches all concepts.
- �� Option B → Reverses the roles of the column of 1s and the ½ factor. It also mismatches modulus and collinearity.
- �� Option C → None of the determinant operations are matched to their actual geometric meanings.
- �� Option D → Incorrectly associates modulus, collinearity and matrix structure with unrelated operations.
Used: Contextual/Tonal Matching
Application: Match each determinant operation with its known geometric interpretation.
Final Logic: Every determinant component corresponds uniquely to one geometric purpose.
"1–Half–Mod–Zero → Square–Triangle–Positive–Collinear."
3 For points P(3, −2), Q(8, 8), and R(k, 2) to be collinear, the area determinant equals 0. Which of the following mathematical steps are valid in solving this?
1. (1/2) ×
| 3 −2 1 |
| 8 8 1 | = 0
| k 2 1 |
1. The scalar multiplier (1/2) can be mathematically eliminated by multiplying both sides by 2.
2. Expanding the determinant yields a linear equation in terms of k.
3. The value of k will yield two different answers because area uses a ± modulus.
�� Collinear points have zero area. �� The factor 1/2 can be removed algebraically. �� Determinant expansion produces a linear equation in k.
- The area of a triangle with vertices ((x_1,y_1)), ((x_2,y_2)), and ((x_3,y_3)) is given by: Area = (1/2) × | x₁ y₁ 1 | | x₂ y₂ 1 | | x₃ y₃ 1 | → For collinear points, the area is zero. Therefore, (1/2) × | 3 −2 1 | | 8 8 1 | = 0 | k 2 1 | Hence, Statement 1 is correct. → Since both sides of the equation are equal to zero, multiplying both sides by 2 does not change the equality. Thus, Statement 2 is correct. → Expanding the determinant gives an equation containing only the variable k raised to the first power. Therefore, Statement 3 is correct. → Statement 4 is incorrect because the ± sign is associated with the absolute value used in the area formula. For collinearity, the determinant itself must be exactly zero, so there is no ± ambiguity and only one value of k satisfies the condition. → Hence, Statements 1, 2, and 3 are correct.
- �� Option B → Incorrect because it includes Statement 4, which is false.
- �� Option C → Incorrect because it also includes Statement 4.
- �� Option D → Incorrect because Statement 4 wrongly assumes two solutions due to the ± sign.
Used
- Elimination
Application:
- �� Verify each statement independently and eliminate every option containing Statement 4.
Final Logic:
- �� Collinearity requires the determinant to be exactly zero; removing the constant factor is valid, and determinant expansion gives a linear equation in k.
- "Collinear ⇒ Zero Area ⇒ Zero Determinant"
4 Identify the mathematically INCORRECT assumption when applying determinant collinearity rules:
�� Zero has no positive or negative distinction �� Collinearity gives determinant exactly zero �� Only one valid equation is obtained
Option C is mathematically incorrect because +0 and −0 represent the same number. Collinearity requires determinant = 0 exactly. Option A correctly solves a linear equation. Option B correctly links collinearity with zero area. Option D is valid because determinant expansion methods produce identical values.
- �� Option A → Correct algebra gives k = 5.
- �� Option B → Collinear points lie on one line and enclose no area.
- �� Option D → Determinants have a unique value regardless of expansion method.
Used: Elimination
Application: Identify the statement that violates determinant properties.
Final Logic: Only Option C contradicts basic mathematical treatment of zero.
"Zero Has No Sign."
5 In a mixture of real-life matrix modeling, shopkeepers A, B, and C sell varied bags. If Shopkeeper A uses 20 polythene, 30 handmade, and 40 newspaper bags, how is this strictly represented in a standard row matrix?
�� A row matrix has one row �� Entries are written horizontally �� Data is represented as [20 30 40]
A row matrix contains elements arranged in a single horizontal row. Therefore the bag quantities are represented as [20 30 40]. Option B is merely an arithmetic sum. Options C and D describe column representations, not row matrices. Hence Option A correctly represents the data.
- �� Option B → Represents addition rather than matrix structure.
- �� Option C → Represents a column vector, not a row matrix.
- �� Option D → Explicitly states a column arrangement.
Used: Dimensional/Unit Analysis
Application: Identify whether the data arrangement is horizontal or vertical.
Final Logic: One row of entries means a row matrix.
"Row Runs Right."
6 Under matrix algebra constraints, if a sales data matrix S is structured as a 3x2 matrix (3 shops, 2 item types), and the profit per item matrix P is 2x1, what is the defined order of the resultant total profit matrix?
�� Matrix multiplication rule applies �� Inner dimensions match (2 = 2) �� Result order is 3×1
For matrix multiplication, the number of columns of the first matrix must equal the number of rows of the second matrix. Here S is 3×2 and P is 2×1. Therefore multiplication is defined and the resulting matrix has order 3×1. Hence Option B is correct.
- �� Option A → Reverses the resulting dimensions.
- �� Option C → Ignores the row count of the first matrix.
- �� Option D → Multiplication is valid because inner dimensions are equal.
Used: Dimensional/Unit Analysis
Application: Apply matrix order multiplication rule.
Final Logic: (3×2)(2×1) ⇒ 3×1.
"Outer Dimensions Survive."
7 Formulate the EMI (Equated Matrix Integer) equation to find the individual bag costs. If the augmented matrix maps Row 1 as [20, 30, 40 | 250], what is the simplified linear equation representing this?
�� Divide all coefficients by 10 �� Equation remains equivalent �� Simplified form is 2x+3y+4z=25
The augmented matrix row corresponds to 20x + 30y + 40z = 250. Dividing every term by 10 gives 2x + 3y + 4z = 25. This preserves equality while simplifying coefficients. Therefore Option A is the correct simplified equation.
- �� Option B → Omits variable z.
- �� Option C → Changes the right-hand side incorrectly to zero.
- �� Option D → Does not represent the original coefficients.
Used: Substitution
Application: Translate the augmented row into a linear equation and simplify.
Final Logic: Divide every term by the common factor 10.
"Matrix Row → Equation → Simplify."
8 If an organization tracks a moving promotional campaign, calculating matrix X (quantities) multiplied by matrix C (costs), what mathematical condition must be true for the campaign costs to be successfully computed?
�� Matrix multiplication follows dimension rules �� Inner dimensions must match �� Otherwise multiplication is undefined
The essential condition for matrix multiplication is compatibility of dimensions. The number of columns of matrix X must equal the number of rows of matrix C. Identical orders are unnecessary. Singularity and determinant values are unrelated to multiplication feasibility. Hence Option B is correct.
- �� Option A → Same order is not required.
- �� Option C → Singular matrices can still participate in multiplication.
- �� Option D → Determinant 1 is unrelated to multiplication compatibility.
Used: Dimensional/Unit Analysis
Application: Check matrix multiplication compatibility.
Final Logic: Matching inner dimensions guarantees multiplication.
"Columns First = Rows Second."
9 If an economic system's input-output matrix yields a determinant |I - A| that evaluates precisely to -3/12, what is the probability that the system is viable according to Hawkins-Simon?
�� Hawkins-Simon requires positive determinant �� Determinant is negative �� Viability condition fails immediately
The first Hawkins-Simon condition requires |I−A| > 0. Here the determinant equals −3/12, which is negative. Therefore the system fails the viability test. Option C correctly states that viability is impossible under this condition. Options A and B incorrectly assume success, while D is unnecessary.
- �� Option A → A negative determinant cannot satisfy the condition.
- �� Option B → No partial viability exists in this criterion.
- �� Option D → The determinant value already provides sufficient information.
Used: Elimination
Application: Compare determinant sign with Hawkins-Simon requirement.
Final Logic: Negative determinant ⇒ condition violated.
"Positive Determinant = Possible Economy."
10 In the Leontief model, the "Total Output" vector represents the sum of which two distinct mathematical components?
�� Total output satisfies X = AX + D �� AX represents inter-industry demand �� D represents final external demand
The Leontief equation is X = AX + D. Here AX denotes goods consumed internally by interconnected industries, while D denotes external or final demand. Total output equals the sum of these two components. Therefore Option B is correct. The remaining options involve unrelated matrix concepts.
- �� Option A → Identity matrix is not part of output composition.
- �� Option C → Adjoint and determinant are algebraic tools, not economic output components.
- �� Option D → Minors and cofactors are determinant concepts unrelated to production output.
Used: Contextual/Tonal Matching
Application: Recall the fundamental Leontief equation and identify its components.
Final Logic: Total Output = Internal Consumption + Final Demand.
"X = AX + D."
11 To properly map the fractional "area" of the Technology Matrix A, if Sector 1 produces 10 total units and consumes 2 itself, and Sector 2 produces 20 total units and consumes 5 from Sector 1, what constitutes the first row of matrix A?
�� Technology coefficients are input-output ratios �� Each coefficient equals input consumed ÷ total output �� The first row is represented as [2/10, 5/20]
In a technology matrix, each coefficient shows the amount of input required from a sector per unit of output of the consuming sector. Thus, the first-row coefficients are 2/10 and 5/20. Option A correctly follows this definition. Although Option D simplifies these fractions, it is not the row as directly constructed from the given data.
- �� Option B → Uses 5/10 as the second coefficient, whereas the denominator should be Sector 2's total output (20).
- �� Option C → Reverses the technology coefficient formula by placing outputs in the numerator and inputs in the denominator.
- �� Option D → [1/5, 1/4] is the simplified form of Option A, but the question asks what constitutes the row from the given production and consumption data; therefore the unsimplified coefficient form in Option A is the standard construction.
Used: Substitution
Application: Apply the technology coefficient formula directly to each sector using the given input and output values.
Final Logic: Technology coefficient = Input Consumed ÷ Total Output.
"Input Over Output."
12 Evaluate the integral stability matrix (I - A) if the Technology Matrix A evaluates to Row 1: [0.2, 0.3] and Row 2: [0.4, 0.1]. What is the calculated value of (I - A)?
�� Identity matrix = [[1,0],[0,1]] �� Subtract A entry-wise �� Result is [[0.8,-0.3],[-0.4,0.9]]
For a 2×2 matrix, I = [[1,0],[0,1]]. Subtracting A entry-wise gives [1−0.2, 0−0.3; 0−0.4, 1−0.1]. This equals [0.8, −0.3; −0.4, 0.9]. Therefore, Option A is correct. Other options either add values or perform incorrect subtraction.
- �� Option B → Adds instead of subtracting matrix entries.
- �� Option C → Treats all entries as negatives of A.
- �� Option D → Incorrectly subtracts off-diagonal entries from one.
Used: Substitution
Application: Subtract corresponding entries of A from the identity matrix.
Final Logic: (I − A) is found by entry-wise subtraction.
"Identity Minus Technology."
13 Deriving from the fundamental Leontief equation D = X - AX, factoring out the requirement output matrix X mathematically results in which intermediate expression?
�� D = X − AX �� Factor X on the right �� D = (I − A)X
Starting with D = X − AX, write X as IX. Then D = IX − AX. Factoring X from the right gives D = (I − A)X. This is the standard Leontief form used for solving output requirements. Other options either factor incorrectly or are mathematically invalid.
- �� Option A → Incorrect order and sign arrangement.
- �� Option C → Division of matrices is not defined this way.
- �� Option D → Does not represent proper matrix factorization.
Used: Substitution
Application: Rewrite X as IX and factor out X.
Final Logic: IX − AX = (I − A)X.
"IX Minus AX = (I−A)X."
14 When predicting future market stability, if the external Demand matrix (D) changes, how is the new Requirement Output (X) strictly calculated?
�� Leontief solution is X = (I−A)^−1D �� New demand changes output requirement �� Inverse matrix remains applicable
After obtaining X = (I − A)^−1D, any change in demand D leads to a new output vector through matrix multiplication with the inverse matrix. Option B directly applies the standard Leontief solution. Options A, C and D do not produce the required output vector correctly.
- �� Option A → Demand and technology matrices cannot simply be added.
- �� Option C → Determinant recalculation alone does not produce X.
- �� Option D → Setting demand to zero changes the problem entirely.
Used: Contextual/Tonal Matching
Application: Recall the final Leontief output formula.
Final Logic: New output equals inverse matrix times demand vector.
"Inverse × Demand = Output."
15 If evaluating the Hawkins-Simon conditions yields |I - A| = 19/90, what is the immediate mathematical and economic conclusion regarding this specific condition?
�� Hawkins-Simon requires positivity �� 19/90 > 0 �� First viability condition is satisfied
The first Hawkins-Simon condition requires the determinant of (I−A) to be positive. Since 19/90 is greater than zero, the determinant condition is satisfied. The determinant need not exceed 1. Fractions are acceptable positive values. Therefore Option B correctly states the conclusion.
- �� Option A → Fractional values are allowed.
- �� Option C → The criterion is positivity, not being greater than one.
- �� Option D → A positive determinant implies the matrix is non-singular.
Used: Elimination
Application: Compare the determinant directly with the positivity condition.
Final Logic: Positive determinant ⇒ condition satisfied.
"Positive, Not Necessarily Large."
16 To verify the first Hawkins-Simon rule on a 2x2 (I - A) matrix configured as Row 1: [3/5, -5/8] and Row 2: [-1/5, 3/8], you calculate the determinant as:
**Correct Answer: B) (3/5 * 3/8) - (-5/8 * -1/5)**
�� Determinant of 2×2 matrix = ad − bc �� Apply the standard formula �� Option B follows ad − bc
For matrix [[a,b],[c,d]], determinant equals ad − bc. Here a=3/5, b=−5/8, c=−1/5 and d=3/8. Thus determinant is (3/5×3/8) − (−5/8×−1/5). Option B exactly matches the determinant formula and is therefore correct.
- �� Option A → Uses incorrect multiplication pairings.
- �� Option C → Adds diagonal elements instead of finding determinant.
- �� Option D → Uses addition instead of subtraction.
Used: Substitution
Application: Apply the standard determinant formula directly.
Final Logic: Determinant = ad − bc.
"Diagonal Product Minus Cross Product."
17 During the verification of economic stability, you observe the matrix (I - A) has principal diagonal elements of 4/5 and 4/5. According to the second Hawkins-Simon condition, what does this signify?
�� Hawkins-Simon requires positive diagonal entries �� Both values are positive fractions �� Condition is satisfied
The second Hawkins-Simon condition requires principal diagonal elements of (I−A) to be positive. Since both entries are 4/5, they are positive and satisfy the condition. The entries need not be integers. Therefore Option B correctly describes the stability requirement.
- �� Option A → Positivity matters, not integrality.
- �� Option C → Positive diagonals do not imply skew-symmetry.
- �� Option D → The given information supports stability, not instability.
Used: Elimination
Application: Check whether the diagonal entries satisfy positivity.
Final Logic: Positive diagonal entries satisfy the second condition.
"Positive Diagonal = Good Signal."
18 If a Leontief input-output calculation reveals that |I - A| evaluates to exactly -1/10, what is the ultimate conclusion about the system's viability?
�� Determinant is negative �� Hawkins-Simon positivity condition fails �� Economic viability is rejected
A valid Leontief system must satisfy |I−A| > 0. Since the determinant equals −1/10, the first Hawkins-Simon condition fails. Therefore the economy cannot be considered viable under the model assumptions. Hence Option C correctly states the economic conclusion.
- �� Option A → Contradicts the negative determinant.
- �� Option B → Demand changes cannot repair a failed determinant condition.
- �� Option D → Negative determinant does not imply infinite solutions.
Used: Elimination
Application: Compare determinant sign with viability criterion.
Final Logic: Negative determinant ⇒ Not viable.
"Negative Determinant, Negative Verdict."
19
According strictly to the passage, the principal diagonal elements of the (I - A) matrix conceptually represent what economic reality?
�� Passage explicitly defines diagonal elements �� They indicate self-reliance after internal consumption �� Option B directly matches the passage
The passage clearly states that principal diagonal elements represent the remaining fractional self-reliance of industries. This interpretation is directly provided and requires no additional inference. Therefore Option B is correct. The passage does not associate these elements with demand, debt or total output.
- �� Option A → Demand is represented separately in Leontief models.
- �� Option C → No reference to debt appears in the passage.
- �� Option D → Diagonal entries do not represent total production.
Used: Contextual/Tonal Matching
Application: Match the wording of the option with the exact passage statement.
Final Logic: Option B repeats the passage definition verbatim.
"Diagonal = Self-Reliance."
20
If the determinant |I - A| crashes strictly below zero, what is the consequence for the interlinked sectors according to the passage's stated constraints?
�� Passage requires determinant above zero �� Negative determinant violates viability condition �� Economic system fails the test
The passage explicitly states that viability depends on the determinant |I−A| being greater than zero. If it falls below zero, the required condition fails and the economic structure is not viable. Therefore, Option B accurately reflects the consequence described in the passage.
- �� Option A → Directly contradicts the stated condition.
- �� Option C → Negative determinant does not imply independence.
- �� Option D → The passage gives no such corrective rule.
Used: Contextual/Tonal Matching
Application: Use the exact viability condition stated in the passage.
Final Logic: Determinant below zero ⇒ viability fails.
"Below Zero, System No."
