CUET UG Mathematics Booster Test 1 - Fundamentals and Basic Properties of Determinants
π Answers are locked once submitted β results and explanations appear at the end.
QUESTION 1 OF 20
A system of linear equations can be written in matrix form as AX=B. What is matrix A?
QUESTION 2 OF 20
Consider a system of equations. Determine whether the system has a unique solution using the determinant condition.
QUESTION 3 OF 20
(Match the Following | Numerical)
| List I | List II |
|---|---|
| 1. \(\left(\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}\right)\)(Determinant) | a. \(-5\) |
| 2. Minor of element 4 | b. \(1\) |
| 3. Cofactor of element 4 | c. \(-2\) |
| 4. \(\left(\begin{pmatrix}2 & 5\\ 1 & 3\end{pmatrix}\right)\)(Determinant) | d. \(1\) |
QUESTION 4 OF 20
Identify theIncorrect Statement
QUESTION 5 OF 20
How many of the following matrices have determinants?
2Γ2matrix
3Γ4matrix
4Γ4matrix
1Γ3matrix
QUESTION 6 OF 20
If a 2Γ2matrix has determinant 0, how many inverses does it have?
QUESTION 7 OF 20
For the matrix [β-5]:
(i) Determinant = -5
(ii) Determinant is negative
(iii) Determinant is always positive
(iv) Determinant equals the element
QUESTION 8 OF 20
Evaluate the determinant: [7]
QUESTION 9 OF 20
Evaluate:
\(β£\begin{pmatrix}5 & 2\\ 1 & 3\end{pmatrix}β£\)
QUESTION 10 OF 20
Evaluate the determinant:
\(β£\begin{pmatrix}2 & 1\\ -1 & 2\end{pmatrix}β£\)
QUESTION 11 OF 20
Assertion (A): A 3Γ3matrix has 6 possible expansions.
Reason (R): We can expand along 3 rows and 3 columns.
QUESTION 12 OF 20
How many zeros are present in the matrix
\(\left(\begin{pmatrix}0 & 2 & 0\\ 1 & 0 & 3\\ 0 & 4 & 5\end{pmatrix}\right)\)
making it suitable for easy expansion?
QUESTION 13 OF 20
Arrange the steps to evaluate the determinant along the first row of
\(β£\begin{pmatrix}2 & 1 & 0\\ 3 & 4 & 5\\ 1 & 2 & 3\end{pmatrix}β£\)
1. Multiply 1 with its sign and minor
2. Multiply 2 with its sign and minor
3. Add all obtained values
4. Multiply 0 with its sign and minor
QUESTION 14 OF 20
In the matrix
\(\left(\begin{pmatrix}1 & 2 & 3\\ 4 & 5 & 6\\ 7 & 8 & 9\end{pmatrix}\right)\)
what is the sign factor for the element in position a_(2,3)?
QUESTION 15 OF 20
Find the sign multiplier for the element in position a_(3,2).
QUESTION 16 OF 20
For the element 4 in the matrix
\(\left(\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}\right)\)
the cofactor depends on:
(i) Minor of 4
(ii) Sign factor (-1)^(2+2)
(iii) Signed minor
(iv) Absolute value of minor
QUESTION 17 OF 20
If the determinant of a matrix is 5, what is the value obtained by multiplying elements of one row with cofactors of another row?
QUESTION 18 OF 20
Evaluate the determinant:
\(β£\begin{pmatrix}1 & 2 & 2\\ 3 & 4 & 4\\ 5 & 6 & 6\end{pmatrix}β£\)
QUESTION 19 OF 20
Answer: D) \(detβ‘(kA)=k^{n}detβ‘(A)\)
QUESTION 20 OF 20
Test Complete!
Answer Review
1 A system of linear equations can be written in matrix form as AX=B. What is matrix A?
In AX = B, A contains coefficients of variables X represents variables B represents constants
In matrix representation AX = B, matrix A stores coefficients of variables from the linear equations. Matrix X contains unknown variables, while B contains constants. Hence, option B is correct. Option A refers to X, not A. Options C and D are special matrices unrelated to general coefficient representation.
- Option A β Matrix of variables corresponds to X, not A.
- Option C β Identity matrix is a special square matrix with ones on the principal diagonal, not the general coefficient matrix.
- Option D β Zero matrix contains all zero entries and cannot generally represent coefficients of a system of equations.
Used
- Elimination
Application:
- Identify the role of each matrix in AX = B and eliminate options not matching coefficient representation.
Final Logic:
- A always stores coefficients of variables in matrix equations.
"A = Amounts before variables"
2 Consider a system of equations. Determine whether the system has a unique solution using the determinant condition.
Unique solution exists if determinant β 0 Negative determinant is also non-zero Hence solution is unique
A system of linear equations has a unique solution when the determinant of the coefficient matrix is non-zero. Since β1 is non-zero, the system possesses a unique solution. Hence option C is correct. Option A is incorrect because determinant 0 gives no unique solution. Option B is also valid mathematically, but the intended numerical answer given is β1.
- Option A β Determinant 0 implies either infinitely many solutions or no solution, not a unique solution.
- Option B β Determinant 1 also gives a unique solution, but it does not match the intended evaluated determinant.
- Option D β Determinant 3 is non-zero, so saying "No" is conceptually incorrect.
Used
- Elimination
Application:
- Use the determinant condition det(A) β 0 for uniqueness and remove contradictory statements.
Final Logic:
- Since β1 β 0, the system has a unique solution.
"Non-zero determinant β unique answer"
3 (Match the Following | Numerical)
| List I | List II |
|---|---|
| 1. \(\left(\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}\right)\)(Determinant) | a. \(-5\) |
| 2. Minor of element 4 | b. \(1\) |
| 3. Cofactor of element 4 | c. \(-2\) |
| 4. \(\left(\begin{pmatrix}2 & 5\\ 1 & 3\end{pmatrix}\right)\)(Determinant) | d. \(1\) |
Determinant of first matrix = β2 Minor of 4 equals 1 Second determinant equals β5
For \(\left(\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}\right)\)(Determinant= (1Γ4 β 2Γ3) = β2, matching c. Minor of element 4 is obtained after deleting second row and second column, leaving 1, matching b. Cofactor = (β1)^(2+2) Γ 1 = 1, matching d. Determinant of second matrix equals (2Γ3 β 5Γ1) = 1, not β5. Hence the provided answer key is incorrect. Correct matching should be: 1-c, 2-b, 3-d, 4-b
- Option A β First determinant is not 1.
- Option B β Minor of 4 is not β2.
- Option D β Determinant of second matrix is incorrectly matched to β5 instead of 1.
Used
- Substitution
Application:
- Directly compute determinants, minors, and cofactors using formulas.
Final Logic:
- Evaluate each expression numerically and match systematically.
"ad β bc for 2Γ2 determinants"
4 Identify theIncorrect Statement
|A| denotes determinant Determinants may be negative Only square matrices have determinants
The notation |A| represents the determinant of matrix A, not modulus. Determinants are defined only for square matrices and can take positive, negative, or zero values. Hence option A is the incorrect statement. Options B, C, and D are standard determinant properties from NCERT.
- Option B β Correct because |A| is the standard determinant notation.
- Option C β Correct since determinant values can be negative depending on entries.
- Option D β Correct because only square matrices possess determinants.
Used
- Extreme Word Filter
Application:
- Check for mathematically invalid terminology in determinant notation.
Final Logic:
- |A| refers to determinant, not modulus.
"Vertical bars mean determinant in matrices"
5 How many of the following matrices have determinants?
2Γ2matrix
3Γ4matrix
4Γ4matrix
1Γ3matrix
Determinants exist only for square matrices 2Γ2 and 4Γ4 are square Total = 2 matrices
A determinant exists only for square matrices where rows equal columns. Among the given matrices, 2Γ2 and 4Γ4 are square matrices, while 3Γ4 and 1Γ3 are rectangular matrices. Therefore only two matrices have determinants. Hence option B is correct.
- Option A β Ignores one valid square matrix.
- Option C β Includes a non-square matrix incorrectly.
- Option D β Assumes all matrices possess determinants, which is false.
Used
- Odd One Out
Application:
- Separate square matrices from rectangular matrices.
Final Logic:
- Only matrices with equal rows and columns have determinants.
"Square only β determinant possible"
6 If a 2Γ2matrix has determinant 0, how many inverses does it have?
Inverse exists only if determinant β 0 Determinant here equals 0 Hence inverse does not exist
A square matrix is invertible only when its determinant is non-zero. If determinant equals zero, the matrix is singular and has no inverse. Therefore the number of inverses is zero. Hence option C is correct. Other options contradict the invertibility condition.
- Option A β A singular matrix cannot have exactly one inverse.
- Option B β A matrix can never have two distinct inverses.
- Option D β Infinite inverses are impossible for matrices.
Used
- Elimination
Application:
- Apply the inverse condition det(A) β 0.
Final Logic:
- Zero determinant means no inverse exists.
"Zero determinant β zero inverse"
7 For the matrix [β-5]:
(i) Determinant = -5
(ii) Determinant is negative
(iii) Determinant is always positive
(iv) Determinant equals the element
Determinant of 1Γ1 matrix equals its element Here determinant = β5 Negative determinant is possible
For a 1Γ1 matrix [β5], the determinant equals the only element present, which is β5. Therefore statements (i), (ii), and (iv) are true. Statement (iii) is false because determinants can be negative. Hence option D is correct.
- Option A β Omits valid statements (ii) and (iv).
- Option B β Statement (iii) is false because determinants are not always positive.
- Option C β Statement (iii) is incorrect, making the option invalid.
Used
- Elimination
Application:
- Check each statement using determinant property of 1Γ1 matrices.
Final Logic:
- The determinant equals the element itself.
"1Γ1 determinant = single entry"
8 Evaluate the determinant: [7]
Determinant of 1Γ1 matrix equals its element Single element is 7 Hence determinant = 7
For any 1Γ1 matrix [a], the determinant equals a itself. Here the only element is 7, so the determinant equals 7. Hence option A is correct. Options B, C, and D do not follow the determinant definition for order one matrices.
- Option B β Determinant is not automatically zero.
- Option C β Determinant need not always equal one.
- Option D β The sign changes only if the entry itself is negative.
Used
- Substitution
Application:
- Apply the direct rule for 1Γ1 determinants.
Final Logic:
- Single-element matrix determinant equals the same number.
"One box β same value"
9 Evaluate:
\(β£\begin{pmatrix}5 & 2\\ 1 & 3\end{pmatrix}β£\)
Use ad β bc formula (5Γ3) β (2Γ1) Result = 13
For a 2Γ2 determinant \(β£\begin{pmatrix}a & c\\ d & b\end{pmatrix}β£\) determinant = ad β bc. Here determinant = (5Γ3) β (2Γ1) = 15 β 2 = 13. Therefore option A is correct. Other options arise from incorrect multiplication or addition operations.
- Option B β Obtained by multiplying diagonal terms only and ignoring subtraction.
- Option C β Incorrect arithmetic evaluation.
- Option D β Results from wrong subtraction or calculation.
Used
- Substitution
Application:
- Directly substitute values into ad β bc formula.
Final Logic:
- 15 β 2 = 13.
"Main diagonal minus side diagonal"
10 Evaluate the determinant:
\(β£\begin{pmatrix}2 & 1\\ -1 & 2\end{pmatrix}β£\)
Apply ad β bc (2Γ2) β (1Γβ1) Result = 5
Using determinant formula ad β bc for 2Γ2 matrices: determinant = (2Γ2) β (1Γβ1) = 4 β (β1) = 5. Therefore option A is correct. Other options result from ignoring the negative sign or performing incorrect arithmetic.
- Option B β Obtained if subtraction sign is mishandled.
- Option C β Ignores contribution of β1 term.
- Option D β Incorrect addition and multiplication.
Used
- Substitution
Application:
- Insert matrix entries into determinant formula carefully.
Final Logic:
- Subtracting a negative increases the value to 5.
"Minus negative becomes plus"
11 Assertion (A): A 3Γ3matrix has 6 possible expansions.
Reason (R): We can expand along 3 rows and 3 columns.
Expansion possible along every row and column 3 rows + 3 columns = 6 expansions Reason correctly explains assertion
A 3Γ3 determinant can be expanded along any one of its 3 rows or 3 columns. Therefore, total possible expansions are 6. Hence Assertion (A) is true. Reason (R) correctly explains this fact because determinant expansion is allowed row-wise and column-wise. Therefore option C is correct. The provided answer key was incorrect.
- Option A β Both statements are mathematically correct, so this option is invalid.
- Option B β Reason is not false; it correctly explains the assertion.
- Option D β Assertion is true because 6 expansions are indeed possible.
Used
- Substitution
Application:
- Count allowable expansions directly using rows and columns.
Final Logic:
- 3 rows + 3 columns = 6 valid determinant expansions.
"3 rows + 3 columns = 6 expansions"
12 How many zeros are present in the matrix
\(\left(\begin{pmatrix}0 & 2 & 0\\ 1 & 0 & 3\\ 0 & 4 & 5\end{pmatrix}\right)\)
making it suitable for easy expansion?
Count all zero entries in matrix Zeros appear at three positions More zeros simplify expansion
The matrix contains zeros at positions (1,1), (1,3), and (3,1). Thus total zeros = 3. Matrices with more zeros are easier for determinant expansion because terms involving zeros vanish. Therefore option B is correct.
- Option A β Misses one zero entry.
- Option C β Includes a non-zero element incorrectly.
- Option D β Overcounts zero entries in the matrix.
Used
- Substitution
Application:
- Directly inspect and count zero entries.
Final Logic:
- Exactly three entries are zero.
"More zeros β easier determinant"
13 Arrange the steps to evaluate the determinant along the first row of
\(β£\begin{pmatrix}2 & 1 & 0\\ 3 & 4 & 5\\ 1 & 2 & 3\end{pmatrix}β£\)
1. Multiply 1 with its sign and minor
2. Multiply 2 with its sign and minor
3. Add all obtained values
4. Multiply 0 with its sign and minor
Expand from left to right in first row Process entries 2, then 1, then 0 Finally add all terms
During expansion along the first row, elements are processed sequentially: first 2, then 1, then 0. Each element is multiplied by its sign and corresponding minor. After calculating all terms, they are added together. Hence the correct order is 2, 1, 4, 3 corresponding to option B.
- Option A β Begins with element 1 instead of the first-row first element 2.
- Option C β Addition cannot occur before computing terms.
- Option D β Starts incorrectly with the zero term.
Used
- Contextual/Tonal Matching
Application:
- Follow the natural left-to-right determinant expansion process.
Final Logic:
- Compute row terms first, then add them.
"Expand β multiply β add"
14 In the matrix
\(\left(\begin{pmatrix}1 & 2 & 3\\ 4 & 5 & 6\\ 7 & 8 & 9\end{pmatrix}\right)\)
what is the sign factor for the element in position a_(2,3)?
Cofactor sign factor formula is (-1)^(i+j) Here i = 2 and j = 3 Sign factor = (-1)^(5)
The sign factor used in cofactors is given by (β1)^(i+j). For element a_(2,3), i = 2 and j = 3. Hence the sign factor becomes (β1)^(2+3). Therefore option C is correct. Numerically this equals β1, but the question specifically asks for the sign-factor expression.
- Option A β Incorrect because exponent sum is odd, giving negative sign.
- Option B β Numerically correct but not the exact sign-factor form requested.
- Option D β Sign factors are never zero.
Used
- Substitution
Application:
- Insert row and column indices into sign-factor formula.
Final Logic:
- Use (β1)^(i+j) directly.
"Row + column decides sign"
15 Find the sign multiplier for the element in position a_(3,2).
Sign factor = (β1)^(i+j) Here (3+2)=5 is odd Odd exponent gives β1
For element a_(3,2), the sign multiplier equals (β1)^(3+2) = (β1)^5 = β1. Hence option B is correct. Sign depends on parity of row and column indices. Odd sums produce negative signs while even sums produce positive signs.
- Option A β Even exponent gives +1, but exponent here is odd.
- Option C β 5 is only the exponent sum, not the sign multiplier.
- Option D β Sign multipliers cannot be zero.
Used
- Substitution
Application:
- Substitute row and column numbers into cofactor sign formula.
Final Logic:
- Odd sum of indices gives negative sign.
"Odd sum β minus sign"
16 For the element 4 in the matrix
\(\left(\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}\right)\)
the cofactor depends on:
(i) Minor of 4
(ii) Sign factor (-1)^(2+2)
(iii) Signed minor
(iv) Absolute value of minor
Cofactor = sign Γ minor Signed minor forms cofactor Absolute value is irrelevant
The cofactor of an element is defined as Cij = (β1)^(i+j) Γ Mij, where Mij is the minor. Therefore cofactor depends on the minor, the sign factor, and the resulting signed minor. Absolute value of the minor has no role. Hence option D is correct.
- Option A β Omits the minor itself, which is essential.
- Option B β Absolute value is not used in cofactor definition.
- Option C β Sign factor alone cannot determine cofactor value.
Used
- Elimination
Application:
- Apply direct cofactor definition and remove irrelevant statements.
Final Logic:
- Cofactor requires both sign and minor.
"Cofactor = sign Γ minor"
17 If the determinant of a matrix is 5, what is the value obtained by multiplying elements of one row with cofactors of another row?
Row elements with own cofactors give determinant Different-row cofactors give zero Property of determinants
A determinant property states that the sum of products of elements of one row with cofactors of another row equals zero. Since cofactors belong to a different row here, the value is 0 irrespective of determinant value 5. Hence option B is correct.
- Option A β Determinant value appears only with cofactors of the same row.
- Option C β No determinant property gives value 1 here.
- Option D β Negative determinant value is irrelevant in this property.
Used
- Elimination
Application:
- Recall determinant-cofactor multiplication properties.
Final Logic:
- Different row and cofactor combinations always produce zero.
"Different rows β zero result"
18 Evaluate the determinant:
\(β£\begin{pmatrix}1 & 2 & 2\\ 3 & 4 & 4\\ 5 & 6 & 6\end{pmatrix}β£\)
Two columns are identical Determinant with equal columns is zero Hence determinant = 0
The second and third columns of the matrix are identical: [2,4,6]. A determinant becomes zero if any two rows or columns are equal. Therefore determinant = 0. Hence option C is correct. Other numerical values ignore this basic determinant property.
- Option A β Incorrect because equal columns force determinant zero.
- Option B β Ignores determinant property of identical columns.
- Option D β Wrong numerical evaluation.
Used
- Odd One Out
Application:
- Identify repeated columns immediately.
Final Logic:
- Equal columns imply determinant equals zero.
"Same columns β determinant zero"
19
Answer: D) \(detβ‘(kA)=k^{n}detβ‘(A)\)
Scalar multiplication affects every row Determinant scales n times Formula becomes k^n det(A)
If A is an nΓn matrix and every element is multiplied by scalar k, then each row contributes a factor k to the determinant. Since there are n rows, total factor becomes k^n. Therefore det(kA)=k^n det(A). Hence option D is correct.
- Option A β Missing power n in determinant scaling.
- Option B β Valid only for specific order-2 matrices, not general order n.
- Option C β Determinants do change under scalar multiplication.
Used
- Elimination
Application:
- Recall the standard determinant scaling property.
Final Logic:
- Each row contributes one factor of k.
"n rows β k^n factor"
20
Matrix order = 2 det(kA)=k^n det(A) det(2A)=2^2(β4)=β16
For a matrix of order n, determinant scales as det(kA)=k^n det(A). Here n=2 and k=2. Therefore det(2A)=2^2Γ(β4)=4Γ(β4)=β16. Hence option B is correct. The provided answer key was incorrect because it used an incorrect scaling factor.
- Option A β Uses wrong scaling factor 8 instead of 4.
- Option C β Multiplies determinant by 2 instead of 2Β².
- Option D β Incorrectly applies a higher power of 2.
Used
- Substitution
Application:
- Substitute n=2 and k=2 into determinant scaling formula.
Final Logic:
- 4 Γ (β4) = β16.
"Order 2 β square the scalar"
