CUET UG Mathematics Booster Test 1 - Minors, Cofactors and Cofactor Expansion
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QUESTION 1 OF 20
Assertion (A): The minor of an element in a 2×2 determinant is a 1×1 determinant.
Reason (R): The minor of an element is obtained by deleting its row and column, reducing the order by 1.
QUESTION 2 OF 20
For a 3×3 matrix, how many distinct 2×2 submatrices are formed to calculate all minors?
QUESTION 3 OF 20
Arrange the correct steps for expanding a 3×3 determinant using minors:
1. Multiply each element by its corresponding 2×2 minor
2. Choose a row or column for expansion
3. Apply the sign factor (-1)^(i+j)
4. Add all resulting terms
QUESTION 4 OF 20
Let \(M_{11}\)be the minor of the element \(a_{11}\)in a 4×4 determinant.
What is the order of \(M_{11}\)?
QUESTION 5 OF 20
Which of the following correctly describe a cofactor \(A_{ij}\)?
1. It includes the sign factor \({\left(-1\right)}^{\left(i,\ j\right)}\)
2. It equals the minor for positions where \(\left(i,\ j\right)\)is even
3. It is always non-negative
QUESTION 6 OF 20
In a 4×4 matrix, what is the probability that the cofactor sign factor \({\left(-1\right)}^{\left(i,\ j\right)}\)is positive?
QUESTION 7 OF 20
For the second row (\(i=2\)) of a 3×3 matrix, the sign pattern \({\left(-1\right)}^{\left(i,\ j\right)}\)for \(j=1,2,3\) is:
QUESTION 8 OF 20
Which transformation converts a vector of minors \(\left(M_{21},\ M_{22},\ M_{23}\right)\)into cofactors \(\left(A_{21},\ A_{22},\ A_{23}\right)\)?
QUESTION 9 OF 20
Identify the incorrect statement:
QUESTION 10 OF 20
Match column expansions of a 3×3 determinant:
| List I | List II |
|---|---|
| 1. Expansion along \(C_{1}\) | a. \(a_{11}A_{11}+a_{21}A_{21}+a_{31}A_{31}\) |
| 2. Expansion along \(C_{2}\) | b. \(a_{12}A_{12}+a_{22}A_{22}+a_{32}A_{32}\) |
| 3. Expansion along \(C_{3}\) | c. \(a_{13}A_{13}+a_{23}A_{23}+a_{33}A_{33}\) |
QUESTION 11 OF 20
For a determinant \(∣A∣\), a student computes:
\(a_{11}A_{11}=26,a_{12}A_{12}=13,a_{13}A_{13}=13\)
Find \(∣A∣\).
QUESTION 12 OF 20
A 3×3 determinant is expanded along three different rows/columns, giving values 15, 15, 15.
Find the 3-period moving average.
QUESTION 13 OF 20
If
\(a_{11}A_{21}+a_{12}A_{22}+a_{13}A_{23}=0,\)
this verifies which property?
QUESTION 14 OF 20
If determinant < 0 → take absolute value.
If the determinant formed by three points is zero, then:
QUESTION 15 OF 20
If determinant < 0 → take absolute value.
If determinant value is negative while computing area, we should:
QUESTION 16 OF 20
For the determinant
\(∣\begin{pmatrix}x_{1} & y_{1} & 1\\ x_{2} & y_{2} & 1\\ x_{3} & y_{3} & 1\end{pmatrix}∣,\)
the cofactor of the element at position \(\left(1,\ 3\right)\)is:
QUESTION 17 OF 20
Find the minor of element 5 in
\(∣\begin{pmatrix}1 & 2 & 3\\ 4 & 5 & 6\\ 7 & 8 & 9\end{pmatrix}∣\)
QUESTION 18 OF 20
For
\(∣\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}∣,\)
find the cofactor \(A_{11}\).
QUESTION 19 OF 20
If
\(∣\begin{pmatrix}1 & x\\ 2 & 4\end{pmatrix}∣=0,\)
find the sum of all possible values of \(x\).
QUESTION 20 OF 20
Find the determinant of the identity matrix of order 3:
Test Complete!
Answer Review
1 Assertion (A): The minor of an element in a 2×2 determinant is a 1×1 determinant.
Reason (R): The minor of an element is obtained by deleting its row and column, reducing the order by 1.
Minor is formed by deleting row and column Order reduces by one 2×2 determinant gives 1×1 minor
For a 2×2 determinant, deleting one row and one column leaves a 1×1 determinant, which is the minor. Thus the Assertion is true. The Reason correctly explains the method of obtaining minors and why the order reduces by one. Therefore both statements are true and the Reason explains the Assertion.
- Option A → Both statements are mathematically correct according to the definition of minors.
- Option B → The Reason is not false because deleting a row and column always reduces determinant order by one.
- Option D → Assertion is true since a 2×2 determinant indeed produces a 1×1 minor.
Used
- Contextual/Tonal Matching
Application:
- Apply the standard definition of minor and observe determinant order reduction.
Final Logic:
- Deleting one row and one column from a 2×2 determinant leaves a 1×1 determinant.
"Minor → one order less"
2 For a 3×3 matrix, how many distinct 2×2 submatrices are formed to calculate all minors?
Each element has one minor 3×3 matrix contains 9 elements Hence 9 distinct minors exist
Every element of a 3×3 matrix has a corresponding minor obtained after deleting its row and column. Since the matrix contains 9 elements, there are 9 distinct 2×2 submatrices used for minor calculations. Hence Option B is correct. Other options underestimate or overestimate the total minors.
- Option A → A 3×3 matrix has more than six elements, so six minors are insufficient.
- Option C → Eight minors would leave one element without a corresponding minor.
- Option D → Twelve exceeds the actual number of elements in the matrix.
Used
- Substitution
Application:
- Count total elements in the matrix since each element has exactly one minor.
Final Logic:
- Nine elements imply nine corresponding minors.
"Every element gets one minor"
3 Arrange the correct steps for expanding a 3×3 determinant using minors:
1. Multiply each element by its corresponding 2×2 minor
2. Choose a row or column for expansion
3. Apply the sign factor (-1)^(i+j)
4. Add all resulting terms
First select expansion row or column Apply cofactor sign pattern Then multiply and add terms
Determinant expansion begins by choosing a row or column. Next, apply the cofactor sign factor \({\left(-1\right)}^{i+j}\). Then multiply each element by its corresponding minor, and finally add all terms. This sequence matches Option C. Other options place sign application or multiplication incorrectly.
- Option A → Multiplication cannot occur before selecting a row or applying signs.
- Option B → Addition must occur after applying signs and multiplication properly.
- Option D → Sign factors cannot be applied before selecting the expansion row or column.
Used
- Option Grouping
Application:
- Arrange determinant expansion steps in the exact operational sequence.
Final Logic:
- Correct determinant expansion follows selection → sign → multiplication → addition.
"Choose → Sign → Multiply → Add"
4 Let \(M_{11}\)be the minor of the element \(a_{11}\)in a 4×4 determinant.
What is the order of \(M_{11}\)?
Minor reduces determinant order by one 4×4 becomes 3×3 Deleting row and column forms minor
A minor is formed by deleting one row and one column from the determinant. Removing one row and one column from a 4×4 determinant leaves a 3×3 determinant. Therefore the order of \(M_{11}\)is 3, making Option C correct.
- Option A → Removing one row and column from 4×4 cannot reduce directly to 1×1.
- Option B → Order reduces by exactly one, not by two.
- Option D → Minor cannot have the same order as the original determinant.
Used
- Elimination
Application:
- Use the rule that minors always reduce determinant order by one.
Final Logic:
- A 4×4 determinant produces a 3×3 minor.
"Minor = original order − 1"
5 Which of the following correctly describe a cofactor \(A_{ij}\)?
1. It includes the sign factor \({\left(-1\right)}^{\left(i,\ j\right)}\)
2. It equals the minor for positions where \(\left(i,\ j\right)\)is even
3. It is always non-negative
Cofactor includes sign factor Even sum gives positive sign Cofactors may be negative
A cofactor is defined as: \(A_{ij}=(-1)^{i+j}M_{ij}\) Thus Statement 1 is correct. When \(i+j\) is even, the sign factor becomes positive, making the cofactor equal to the minor, so Statement 2 is also correct. Statement 3 is false because cofactors can be positive or negative.
- Option B → Statement 3 is incorrect because cofactors are not always non-negative.
- Option C → Although Statement 1 is true, Statement 3 remains false.
- Option D → All statements cannot be correct since cofactors may become negative.
Used
- Elimination
Application:
- Check each statement directly using the cofactor formula.
Final Logic:
- Only Statements 1 and 2 satisfy cofactor properties.
"Even sum → same sign"
6 In a 4×4 matrix, what is the probability that the cofactor sign factor \({\left(-1\right)}^{\left(i,\ j\right)}\)is positive?
Positive sign occurs for even \(i+j\) Half positions are even-sum positions Checkerboard signs split equally
A 4×4 matrix contains 16 positions. Cofactor signs follow a checkerboard pattern: \(+,-,+,-\) Exactly half the positions have even \(i+j\), producing positive signs. Thus 8 out of 16 positions are positive: \(\frac{8}{16}=\frac{1}{2}\) Hence Option B is correct.
- Option A → Positive signs occur more frequently than one-fourth of the entries.
- Option C → Cofactor signs divide equally, not in one-third proportion.
- Option D → Checkerboard distribution gives exactly half positive positions.
Used
- Substitution
Application:
- Count even \(i+j\) positions in the checkerboard sign pattern.
Final Logic:
- Half the entries in a 4×4 matrix carry positive signs.
"Checkerboard splits equally"
7 For the second row (\(i=2\)) of a 3×3 matrix, the sign pattern \({\left(-1\right)}^{\left(i,\ j\right)}\)for \(j=1,2,3\) is:
Substitute row number \(i=2\) Signs alternate in checkerboard form Second row pattern becomes −,+,−
Using: \({\left(-1\right)}^{i+j}\) For \(i=2\): \(\left(-1)^{3}=-1\right.\left(-1)^{4}=1\right.\left(-1)^{5}=-1\right.\) Hence the pattern becomes: \(\left(-1,1,-1\right)\) Therefore Option C is correct.
- Option A → Represents the first-row sign pattern, not the second row.
- Option B → Cofactor signs alternate and cannot all be negative.
- Option D → The second entry should be positive, but the first must be negative.
Used
- Substitution
Application:
- Substitute values of \(j=1,2,3\) into the cofactor sign formula.
Final Logic:
- Second-row signs alternate as negative, positive, negative.
"Second row starts negative"
8 Which transformation converts a vector of minors \(\left(M_{21},\ M_{22},\ M_{23}\right)\)into cofactors \(\left(A_{21},\ A_{22},\ A_{23}\right)\)?
Cofactors differ only by signs Second-row sign pattern is −,+,− Diagonal sign transformation applies
Cofactors are obtained by multiplying minors with the sign pattern: \({\left(-1\right)}^{i+j}\) For the second row, the signs become: \(\left(-1,1,-1\right)\) Thus the transformation is equivalent to multiplying by a diagonal matrix: \(diag(-1,1,-1)\) Hence Option D is correct.
- Option A → Identity transformation leaves minors unchanged and does not create cofactors.
- Option B → All cofactors are not simultaneously negative.
- Option C → Adjoint matrix is constructed from cofactors and does not represent the sign transformation itself.
Used
- Contextual/Tonal Matching
Application:
- Relate second-row cofactor signs directly to diagonal sign multiplication.
Final Logic:
- Only the diagonal matrix reproduces the required sign changes.
"Second row → − + −"
9 Identify the incorrect statement:
More zeros reduce calculation effort Any row expansion gives same determinant All statements are mathematically correct
Option A is actually correct because rows or columns containing more zeros simplify determinant expansion. Options B, C, and D are also correct determinant properties. Therefore no incorrect statement exists. The provided answer is wrong because it incorrectly labels a true statement as false.
- Option B → Determinant value remains unchanged regardless of expansion row or column.
- Option C → This is the standard first-row cofactor expansion formula.
- Option D → Determinants always evaluate to scalar values, not matrices.
Used
- Elimination
Application:
- Verify each statement using standard determinant properties.
Final Logic:
- Since all four statements are true, no incorrect option exists.
"More zeros = easier expansion"
10 Match column expansions of a 3×3 determinant:
| List I | List II |
|---|---|
| 1. Expansion along \(C_{1}\) | a. \(a_{11}A_{11}+a_{21}A_{21}+a_{31}A_{31}\) |
| 2. Expansion along \(C_{2}\) | b. \(a_{12}A_{12}+a_{22}A_{22}+a_{32}A_{32}\) |
| 3. Expansion along \(C_{3}\) | c. \(a_{13}A_{13}+a_{23}A_{23}+a_{33}A_{33}\) |
Column expansion uses fixed column entries Each column matches same-index cofactors Standard determinant expansion property
Expansion along a column uses elements and cofactors from that column only: \(C_{1}\rightarrow a_{11},a_{21},a_{31}C_{2}\rightarrow a_{12},a_{22},a_{32}C_{3}\rightarrow a_{13},a_{23},a_{33}\) Thus the correct matching is: \(1-a, 2-b, 3-c\) Hence Option A is correct.
- Option B → Column indices are mismatched with incorrect cofactor groups.
- Option C → Expansion terms do not correspond to the specified columns.
- Option D → First-column terms are incorrectly assigned.
Used
- Option Grouping
Application:
- Match each column with cofactors having the same column index.
Final Logic:
- Correct column expansion preserves identical column numbering.
"Column number stays fixed"
11 For a determinant \(∣A∣\), a student computes:
\(a_{11}A_{11}=26,a_{12}A_{12}=13,a_{13}A_{13}=13\)
Find \(∣A∣\).
Determinant equals sum of row products Add corresponding cofactor products \(26+13+13=52\)
Using first-row expansion: \(∣A∣=a_{11}A_{11}+a_{12}A_{12}+a_{13}A_{13}\) Substituting given values: \(∣A∣=26+13+13=52\) Thus Option B is correct. Other options ignore the cofactor expansion rule or involve incorrect addition.
- Option A → Determinant is not zero because the sum of products is nonzero.
- Option C → Incorrect addition doubles the actual determinant value.
- Option D → Uses only one term instead of summing all cofactor products.
Used
- Substitution
Application:
- Substitute given cofactor products directly into determinant expansion formula.
Final Logic:
- Adding all row-product terms gives determinant value 52.
"Determinant = sum of cofactor products"
12 A 3×3 determinant is expanded along three different rows/columns, giving values 15, 15, 15.
Find the 3-period moving average.
Moving average equals arithmetic mean Determinant value remains same for expansions Average of identical values stays same
The three obtained values are: \(15, 15, 15\) Their moving average is: \(\frac{15+15+15}{3}=15\) Thus Option D is correct. Since determinant value remains unchanged irrespective of expansion row or column, all values are identical.
- Option A → Incorrect division or averaging has been used.
- Option B → Sum is 45, but the question asks for average, not total.
- Option C → Arithmetic mean of identical values cannot become 30.
Used
- Substitution
Application:
- Apply the moving-average formula directly to the given values.
Final Logic:
- Average of three equal values remains the same value.
"Same numbers → same average"
13 If
\(a_{11}A_{21}+a_{12}A_{22}+a_{13}A_{23}=0,\)
this verifies which property?
Different row–cofactor products vanish Standard determinant property Same-row expansion alone gives determinant
A determinant property states: \(\sum a_{ij}A_{kj}=0(i\neq k)\) That means the sum of products of elements of one row with cofactors of another row equals zero. Hence Option B is correct. Option A refers to same-row expansion, while C and D are unrelated determinant properties.
- Option A → Expansion along the same row gives determinant value, not zero necessarily.
- Option C → Determinants may be positive, negative, or zero.
- Option D → Cofactors need not be equal in a determinant.
Used
- Contextual/Tonal Matching
Application:
- Match the expression with the standard orthogonality property of rows and cofactors.
Final Logic:
- Different-row cofactor products always sum to zero.
"Different row + cofactors = zero"
14
If determinant < 0 → take absolute value.
If the determinant formed by three points is zero, then:
Zero determinant gives zero area Zero area implies collinearity Points lie on same straight line
The determinant formula for triangle area becomes zero when all three points lie on one straight line. The passage explicitly states: \(determinant=0\Rightarrow collinear points\) Therefore Option B is correct. Other options do not follow from zero area.
- Option A → Equilateral triangles have nonzero area.
- Option C → Collinearity does not imply points lie on a circle uniquely.
- Option D → Area is never taken as negative because absolute value is used.
Used
- Contextual/Tonal Matching
Application:
- Directly apply the determinant-area condition stated in the passage.
Final Logic:
- Zero determinant means zero area and hence collinear points.
"Zero determinant → straight line"
15
If determinant < 0 → take absolute value.
If determinant value is negative while computing area, we should:
Area cannot be negative Determinant sign depends on order Absolute value gives physical area
Area obtained from determinant formulas is always taken in absolute value because geometric area cannot be negative. The sign only depends on the order of point arrangement. Hence Option C is correct. Ignoring or squaring the determinant is mathematically unnecessary.
- Option A → Negative sign is not ignored; absolute value must be taken.
- Option B → A negative determinant does not indicate calculation error.
- Option D → Squaring changes the actual area value incorrectly.
Used
- Contextual/Tonal Matching
Application:
- Use the explicit statement in the passage about handling negative determinants.
Final Logic:
- Area is always represented by the absolute value of determinant.
"Area = modulus of determinant"
16 For the determinant
\(∣\begin{pmatrix}x_{1} & y_{1} & 1\\ x_{2} & y_{2} & 1\\ x_{3} & y_{3} & 1\end{pmatrix}∣,\)
the cofactor of the element at position \(\left(1,\ 3\right)\)is:
Delete first row and third column Evaluate resulting 2×2 determinant Apply positive cofactor sign
Deleting row 1 and column 3 gives: \(∣\begin{pmatrix}x_{2} & y_{2}\\ x_{3} & y_{3}\end{pmatrix}∣\) Minor: \(x_{2}y_{3}-x_{3}y_{2}\) Since cofactor sign at \(\left(1,\ 3\right)\)is positive, cofactor remains unchanged. Thus the provided answer is incorrect. Actual cofactor: \(x_{2}y_{3}-x_{3}y_{2}\) None of the options match exactly.
- Option A → Gives only a difference of y-values, not the determinant expression.
- Option B → Incorrect sign and incomplete determinant form.
- Option C → Cofactor depends on determinant products, not simple x-differences.
- Option D → Does not represent the required 2×2 determinant.
Used
- Substitution
Application:
- Delete corresponding row and column, then evaluate the resulting determinant.
Final Logic:
- Cofactor equals the determinant \(x_{2}y_{3}-x_{3}y_{2}\).
"Delete row-column → solve remaining determinant"
17 Find the minor of element 5 in
\(∣\begin{pmatrix}1 & 2 & 3\\ 4 & 5 & 6\\ 7 & 8 & 9\end{pmatrix}∣\)
Element 5 lies at position (2,2) Delete second row and column Evaluate remaining 2×2 determinant
Deleting row 2 and column 2 leaves: \(∣\begin{pmatrix}1 & 3\\ 7 & 9\end{pmatrix}∣\) Minor: \(1(9)-3(7)=9-21=-12\) Thus the provided answer A) -3 is incorrect. Actual Correct Answer: \(-12\)(Not available in options)
- Option A → Minor evaluates to \(-12\), not \(-3\).
- Option B → 5 is the element itself, not its minor.
- Option C → Incorrect determinant calculation.
- Option D → Does not result from evaluating the remaining 2×2 determinant.
Used
- Substitution
Application:
- Delete the row and column of the selected element and compute the determinant.
Final Logic:
- Minor of element 5 equals \(-12\).
"Middle element → corner determinant"
18 For
\(∣\begin{pmatrix}1 & 2\\ 3 & 4\end{pmatrix}∣,\)
find the cofactor \(A_{11}\).
Delete first row and column Remaining determinant equals 4 Cofactor sign at (1,1) is positive
Minor \(M_{11}\)is obtained by deleting row 1 and column 1: \(\left[4\right]\) Thus: \(M_{11}=4\) Cofactor: \(A_{11}=(-1)^{1+1}M_{11}=4\) Hence Option B is correct.
- Option A → Remaining determinant after deletion is not zero.
- Option C → Position (1,1) has positive sign, not negative.
- Option D → Cofactor value is determined directly from the remaining element 4.
Used
- Substitution
Application:
- Find the minor first and then apply cofactor sign.
Final Logic:
- Positive cofactor sign keeps the value equal to 4.
"Top-left cofactor stays positive"
19 If
\(∣\begin{pmatrix}1 & x\\ 2 & 4\end{pmatrix}∣=0,\)
find the sum of all possible values of \(x\).
Use \(ad-bc=0\) Solve linear equation in \(x\) Only one value satisfies condition
Evaluate determinant: \(1(4)-2x=04-2x=0x=2\) Since only one possible value exists, the sum of all values is also 2. Therefore Option B is correct.
- Option A → No determinant calculation gives \(x=8\).
- Option C → Determinant becomes zero only at \(x=2\), not 0.
- Option D → Substituting \(x=4\) gives determinant \(-4\), not zero.
Used
- Substitution
Application:
- Apply the standard determinant formula and solve the equation.
Final Logic:
- Only \(x=2\) satisfies the zero-determinant condition.
"Zero determinant → solve linear equation"
20 Find the determinant of the identity matrix of order 3:
Identity matrix has diagonal ones Off-diagonal entries are zero Determinant always equals one
For the identity matrix: \(I_{3}=\left(\begin{pmatrix}1 & 0 & 0\\ 0 & 1 & 0\\ 0 & 0 & 1\end{pmatrix}\right)\) The determinant equals the product of diagonal entries: \(1\times 1\times 1=1\) Hence Option D is correct. Other options do not satisfy determinant properties of identity matrices.
- Option A → Identity matrices are non-singular, so determinant cannot be zero.
- Option B → Determinant is not obtained by adding diagonal entries.
- Option C → Product of diagonal entries equals 1, not 2.
Used
- Contextual/Tonal Matching
Application:
- Recall the standard determinant property of identity matrices.
Final Logic:
- Determinant of every identity matrix equals one.
"Identity determinant is identity itself: 1"
