Q.Find minors and cofactors of all the elements of the determinant 14−23.
Concept understanding — Determinant Evaluation Using Identities
Determinant Evaluation Using Identities
Expanding a 4×4 or 5×5 determinant term by term is painful and error-prone. The smarter route is to transform the determinant into an easy form using properties (the "identities") that change its value in a known, controlled way — then read the answer off a triangular matrix.
The geometric intuition
A determinant measures the signed "volume" of the box spanned by the rows in n-dimensional space. Sliding one row parallel to another doesn't change that volume; swapping two rows flips its sign; scaling a row scales the volume. The algebraic identities are just these facts translated into rules.
The three row (or column) operations
- Swap two rows: det→−det (sign flips).
- Scale a row by k: det→kdet (the factor comes out).
- Add a multiple of one row to a different row (Ri→Ri+λRj, i=j): det unchanged.
The identical rules hold for columns. There is also row-wise linearity: if a row is a sum Ri=Ri′+Ri′′, the determinant splits into the sum of two determinants with all other rows fixed.
Row-wise linearity is not det(A+B)=detA+detB — that is false. The splitting works one row at a time.
The strategy
- Use operation 3 to create zeros in a row or column (value unchanged).
- Factor out common factors with operation 2.
- Swap rows if needed to reach upper-triangular form (track the sign change).
- The determinant is then the product of the diagonal entries.
Worked example
det1472583610.
Apply R2→R2−4R1 and R3→R3−7R1 (no change), then R3→R3−2R2:
det1002−303−61=1×(−3)×1=−3.
No cofactor was ever expanded — we just slid rows around.
Aim your zeros at a row or column that already contains a 1 to keep the arithmetic clean. And remember operation 3 needs a different row: adding a multiple of a row to itself rescales it and changes the value.
Evaluating determinants using row and column operations rather than direct expansion is a core skill in the CBSE Class 12 Determinants chapter, and "properties of determinants class 12 with examples" is one of the most searched topics for board exam revision. This technique of reducing a determinant to triangular form is also a favourite approach in JEE Main and JEE Advanced problems involving higher-order determinants.
Concept: Minor and Cofactor definitions for a 2×2 determinant.
Step 1 — Minors
For element aij, the minor Mij is the determinant of the submatrix after removing row i and column j.
- M11=∣3∣=3
- M12=∣4∣=4
- M21=∣−2∣=−2
- M22=∣1∣=1
Step 2 — Cofactors
Cofactor Cij=(−1)i+jMij.
- C11=(−1)2⋅3=3
- C12=(−1)3⋅4=−4
- C21=(−1)3⋅(−2)=2
- C22=(−1)4⋅1=1
Minors: 3,4,−2,1; Cofactors: 3,−4,2,1 (in row-major order).
For a 2×2 determinant, the minor of an element is the other element on the opposite diagonal, and the cofactor is the minor multiplied by (−1)i+j. Here, the minors are 3,4,−2,1 and the cofactors are 3,−4,2,1 respectively.
The idea is simple: a minor is the determinant you get by deleting the row and column of that element. For a 2×2 matrix, that means each minor is just a single number — the element that remains. The cofactor then adds a sign based on the position: (−1)i+j times the minor.
Let’s label the determinant as:
Δ=a11a21a12a22=14−23
We’ll go element by element.
-
Element a11=1 (row 1, column 1)
Delete row 1 and column 1. What’s left? The element at row 2, column 2, which is 3.
So the minor M11=3.
The cofactor C11=(−1)1+1⋅M11=(+1)⋅3=3.
-
Element a12=−2 (row 1, column 2)
Delete row 1 and column 2. The remaining element is a21=4.
So M12=4.
Cofactor: C12=(−1)1+2⋅4=(−1)⋅4=−4.
-
Element a21=4 (row 2, column 1)
Delete row 2 and column 1. The leftover is a12=−2.
So M21=−2.
Cofactor: C21=(−1)2+1⋅(−2)=(−1)⋅(−2)=2.
-
Element a22=3 (row 2, column 2)
Delete row 2 and column 2. The leftover is a11=1.
So M22=1.
Cofactor: C22=(−1)2+2⋅1=(+1)⋅1=1.
For a 2×2 matrix (acbd), the pattern is:
- Minors: M11=d, M12=c, M21=b, M22=a.
- Cofactors: C11=d, C12=−c, C21=−b, C22=a. This is a quick check — but always derive it to avoid sign errors.
A common mistake: forgetting that the minor of a12 is a21, not a22. The row and column you delete are the element’s own row and column — so for a12, you delete row 1 and column 2, leaving the element at the intersection of row 2 and column 1.
The minors are 3,4,−2,1 and the cofactors are 3,−4,2,1 for the elements 1,−2,4,3 respectively.
Method: Finding All Minors and Cofactors of a Small Determinant
This method systematically computes the minor and cofactor of every element in a determinant — the standard first step before building an adjoint matrix.
Steps
Step 1: Go through the elements one at a time, in position order
Work through a11,a12,a21,a22 (and onward for larger matrices) in a fixed order so none is skipped.
Step 2: For each element, delete its row and column to get the minor
Mij=determinant of the submatrix left after deleting row i and column j
For a 2×2 matrix, deleting one row and one column leaves a single number — the opposite-diagonal entry.
Step 3: Attach the sign to get the cofactor
Cij=(−1)i+jMij
Use the checkerboard pattern to get the sign quickly: (1,1) and (2,2) positions are +; (1,2) and (2,1) are −.
Step 4: Tabulate all results together
List minors and cofactors side by side for each element — this makes it easy to spot a sign error, since minors and cofactors should only ever differ by a ±1 factor.
Step 5: Use the quick 2×2 pattern as a cross-check
For A=(acbd): minors are M11=d, M12=c, M21=b, M22=a, and cofactors are C11=d, C12=−c, C21=−b, C22=a — a fast way to check your row-by-row work.
This element-by-element method scales directly to 3×3 and larger determinants — only the size of each minor changes.
Common Mistakes
Mistake 1: Confusing the minor of a12 with a22 instead of a21
Why it's wrong: deleting row 1 and column 2 (for the minor of a12) leaves the element at the intersection of row 2 and column 1, i.e. a21 — mistakenly picking a22 gives the wrong minor. Correct approach: physically cross out the row and column of the element in question and read off whatever single entry remains, rather than guessing from the diagonal pattern.
Mistake 2: Forgetting the sign when converting a minor to a cofactor
Why it's wrong: leaving C12=+4 instead of C12=(−1)1+2⋅4=−4 silently drops the required sign flip for odd i+j positions. Correct approach: always compute (−1)i+j explicitly for each position before finalizing a cofactor — never assume the minor's own sign carries over.
Showing the 12 most recent of 59 on this concept.
- CBSE 2026Set 65/1/11 markMCQQ.If Δ1=100020003 and Δ2=010200006, then (A) Δ1=2Δ2 (B) Δ2=−2Δ1 (C) Δ1=Δ2 (D) Δ2=−Δ1
›Reveal solutionSolution
The first determinant is diagonal; the second requires one row interchange to reach diagonal form. Each interchange flips the sign; evaluating both determinants gives Δ2=−2Δ1. The answer is (B).
Why determinants change under row operations
A determinant measures the signed volume of the parallelepiped spanned by the row vectors. When you swap two rows, you reflect the figure across a hyperplane—the volume stays the same in magnitude but the orientation reverses, flipping the sign.
The diagonal determinant is the easiest to compute: the product of the diagonal entries. The second determinant looks scrambled, but a single row swap will bring it into a form we recognize.
Step-by-step evaluation
1. Compute Δ1 directly.
The matrix is diagonal:
Δ1=100020003=1⋅2⋅3=6.
2. Recognize the structure of Δ2.
Δ2=010200006.
The first two rows are out of order compared to a diagonal form. Swap rows 1 and 2 to bring the 1 into the top-left position.
3. Apply the row-interchange property.
Swapping rows 1 and 2:
Δ2=−100020006.
The negative sign comes from the single interchange.
4. Evaluate the new diagonal determinant.
100020006=1⋅2⋅6=12.
So Δ2=−12.
5. Relate Δ2 to Δ1.
We have Δ1=6 and Δ2=−12. Notice that
Δ2=−12=−2⋅6=−2Δ1.
This matches option (B).
Watch outA common mistake is to forget the sign change from the row swap. Without it, you'd incorrectly conclude Δ2=12 and miss the negative relationship.
TipFor small determinants, you can also expand along the first row or column. For Δ2, expanding along row 1 gives 0⋅C11+2⋅C12+0⋅C13, where C12=−1006=−6, so Δ2=2⋅(−6)=−12.
✓Final answerThe correct option is (B): Δ2=−2Δ1.
- CBSE 2024Set 65/1/11 markMCQQ.x+1x2+x+1x−1x2−x+1 is equal to : (A) 2x3 (B) 2 (C) 0 (D) 2x3−2
›Reveal solutionSolution
Expand the 2×2 determinant as ad−bc; the cube-sum and cube-difference collapse to a constant. The value is 2, option (B).
For a 2×2 determinant, acbd=ad−bc.
Δ=x+1x2+x+1x−1x2−x+1=(x+1)(x2−x+1)−(x−1)(x2+x+1)
Use the standard factorisations a3+b3=(a+b)(a2−ab+b2) and a3−b3=(a−b)(a2+ab+b2) with a=x, b=1:
(x+1)(x2−x+1)=x3+1,(x−1)(x2+x+1)=x3−1
Therefore
Δ=(x3+1)−(x3−1)=2.
The result is the constant 2, independent of x.
✓Final answer2, option (B).
- CBSE 2026Set A1 markMCQQ.233663121026112637=(a) 1(b) −1(c) 0(d) 2
›Reveal solutionSolution
The determinant equals 0 because one column is the sum of the other two.
Inspect the columns of
233663121026112637.
Check: 12+11=23, 10+26=36, 26+37=63.
So C1=C2+C3. When one column is a linear combination of the others, the columns are linearly dependent and the determinant is 0.
✓Final answer(c) 0.
- CBSE 2026Set A1 markMCQQ.cos15∘sin75∘sin15∘cos75∘=(a) 1(b) 0(c) −1(d) 21
›Reveal solutionSolution
The determinant equals cos90∘=0.
Expand:
cos15∘sin75∘sin15∘cos75∘=cos15∘cos75∘−sin15∘sin75∘.
By the cosine addition formula cosAcosB−sinAsinB=cos(A+B):
=cos(15∘+75∘)=cos90∘=0.
✓Final answer(b) 0.
- CBSE 2026Set A1 markMCQQ.a+ib−c+idc+ida−ib=(a) a2+b2+c2+d2(b) a2−b2−c2−d2(c) a2−b2+c2+d2(d) a2+b2+c2−d2
›Reveal solutionSolution
Expand the 2×2 determinant and simplify the complex products.
a+ib−c+idc+ida−ib=(a+ib)(a−ib)−(c+id)(−c+id).
First term: (a+ib)(a−ib)=a2−(ib)2=a2+b2.
Second term: (c+id)(−c+id)=−c2+icd−icd+(id)2=−c2−d2.
So the determinant =(a2+b2)−(−c2−d2)=a2+b2+c2+d2.
✓Final answer(a) a2+b2+c2+d2.
- CBSE 2026Set ANNUAL1 markMCQQ.Value of x2−x+1x+1x−1x+1 will be(a) x2−x+2(b) x3+x2−2(c) x3−x2+2(d) x3+x2+4
›Reveal solutionSolution
Expand the 2×2 determinant using acbd=ad−bc.
Δ=(x2−x+1)(x+1)−(x−1)(x+1)
(x2−x+1)(x+1)=x3+1 (the middle terms cancel).
(x−1)(x+1)=x2−1.
Δ=(x3+1)−(x2−1)=x3−x2+2.
✓Final answerThe correct option is (c) x3−x2+2.
- CBSE 2026Set ANNUAL1 markQ.The value of determinant Δ=1−14231400 is __________.
›Reveal solutionSolution
Expand the 3×3 determinant along the first row.
Δ=1−14231400
Expanding along row 1:
Δ=1(3⋅0−0⋅1)−2(−1⋅0−0⋅4)+4(−1⋅1−3⋅4)
=1(0)−2(0)+4(−1−12)=4(−13)=−52.
✓Final answerΔ=−52.
- CBSE 2026Set ANNUAL1 markQ.Find the value of determinant Δ=0−sinαcosαsinα0−sinβ−cosαsinβ0.
›Reveal solutionSolution
The matrix is skew-symmetric (each aij=−aji) and every odd-order skew-symmetric matrix has determinant 0.
Check: a12=sinα=−a21, a13=−cosα=−a31, a23=sinβ=−a32, and all diagonal entries are 0 — so the matrix is skew-symmetric.
For a skew-symmetric matrix A of odd order n, detA=detAT=det(−A)=(−1)ndetA=−detA, so detA=0.
✓Final answerΔ=0.
- CBSE 2026Set ANNUAL1 markMCQQ.cos30∘sin30∘sin30∘cos30∘=(a) 21(b) 23(c) 0(d) None of these
›Reveal solutionSolution
This determinant has the form cos2θ−sin2θ=cos2θ.
cos30∘sin30∘sin30∘cos30∘=cos30∘⋅cos30∘−sin30∘⋅sin30∘=cos230∘−sin230∘
Using cos2θ−sin2θ=cos2θ: this equals cos60∘=21.
✓Final answer(a) 21.
- CBSE 2026Set ANNUAL1 markQ.Evaluate the determinant \Delta = \begin{vmatrix}1 & 2 & 4\ -1 & 3 & 0\ 4 & 1 & 0\end{vmatrix}.
›Reveal solutionSolution
Expand the 3×3 determinant along the first row (or any row/column) using cofactors.
Working: Expanding along Row 1:
Δ=1−14231400
=13100−2−1400+4−1431
=1(3⋅0−0⋅1)−2(−1⋅0−0⋅4)+4(−1⋅1−3⋅4)
=1(0)−2(0)+4(−1−12)=4(−13)=−52
✓Final answerΔ=−52.
- CBSE 2025Set 65/4/11 markMCQQ.If M and N are square matrices of order 3 such that det(M)=m and MN=mI, then det(N) is equal to : (A) −1 (B) 1 (C) −m2 (D) m2
›Reveal solutionSolution
The key idea is that MN=mI implies N=mM−1, so det(N)=m3det(M−1)=m3⋅m1=m2. The correct option is (D).
The problem gives us two square matrices M and N of order 3, with det(M)=m and MN=mI, where I is the 3×3 identity matrix. We need det(N).
The central concept here is the relationship between matrix multiplication and determinants. When two matrices multiply to give a scalar times the identity, that scalar is intimately connected to the determinant of the first matrix. The equation MN=mI is not just a product — it tells us that N is essentially a scaled inverse of M.
Why? Because if MN=mI, then multiplying both sides on the left by M−1 (assuming M is invertible) gives N=mM−1. But we must first check: is M invertible? Yes — since det(M)=m=0 (the problem doesn't state m=0 explicitly, but if m=0, then MN=0, which would make N singular and the answer ambiguous; in standard exam contexts, m is taken as a non-zero scalar, often a real number, and the options suggest m=0). So M−1 exists.
Now, the determinant of a scalar multiple of a matrix: for an n×n matrix A, det(kA)=kndet(A). Here n=3, so det(mM−1)=m3det(M−1).
And we know det(M−1)=det(M)1=m1.
Putting it together:
- From MN=mI, take determinant on both sides: det(MN)=det(mI).
- det(MN)=det(M)⋅det(N)=m⋅det(N).
- det(mI): mI is a diagonal matrix with all diagonal entries m, so its determinant is m3 (since it's 3×3).
- So m⋅det(N)=m3.
- Divide both sides by m (non-zero): det(N)=m2.
TipA faster route: from MN=mI, multiply both sides on left by M−1 to get N=mM−1. Then det(N)=det(mM−1)=m3⋅m1=m2. This avoids the determinant-of-product step, but both are equivalent.
Watch outA common mistake is to forget the exponent on m when taking det(mI). Since I is 3×3, det(mI)=m3, not m. Also, do not confuse MN=mI with MN=I — the scalar m changes the scaling factor.
Thus, the determinant of N is m2.
✓Final answerThe value is m2, which corresponds to option (D).
- CBSE 2025Set E1 markMCQQ.212564111527101037=(a) 1190(b) 841(c) 0(d) 1
›Reveal solutionSolution
A column that is the sum of the other two makes the determinant zero.
Examine the columns of
212564111527101037.
Check C2+C3 against C1:
11+10=21,15+10=25,27+37=64.
So C1=C2+C3, i.e. the columns are linearly dependent. A determinant with linearly dependent columns is 0 (apply C1→C1−C2−C3 to get a zero column).
✓Final answer(C) 0.
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