Q.Using properties of determinants, show that 3a−b+a−c+a−a+b3b−c+b−a+c−b+c3c=3(a+b+c)(ab+bc+ca)
CBSECBSE Class XII Board 2019Subjective· 4mImportance★★★★★
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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.
Watch out
Row-wise linearity is notdet(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.
Tip
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.
The key idea is to simplify the determinant by creating common factors and zeros using elementary column and row operations.
Apply the column operation C1→C1+C2+C3. This makes all elements in the first column equal to (a+b+c):
The value of the determinant is 3(a+b+c)(ab+bc+ca).
We simplify the determinant by applying column operations to extract a common factor (a+b+c), then use row operations to create zeros, and finally expand the simplified 2×2 determinant to show the result is 3(a+b+c)(ab+bc+ca).
When evaluating determinants, especially those with algebraic expressions, direct expansion can be tedious and prone to errors. A more elegant and efficient approach involves using the properties of determinants to simplify the matrix first. The goal is often to:
Create common factors: By adding rows or columns, we can sometimes make all elements in a row or column identical, allowing us to factor out a common term.
Generate zeros: Once a common factor is extracted, or even before, we can use row/column operations to create zeros in a particular row or column. This significantly simplifies the expansion process, as the determinant can then be expanded along that row/column, with only one or two terms contributing.
This problem is a classic example where strategic row/column operations lead to a much simpler calculation.
Let the given determinant be Δ.
Δ=3a−b+a−c+a−a+b3b−c+b−a+c−b+c3c
Identify a potential common factor by summing columns.
Observe the elements in each column. If we add the elements of C2 and C3 to C1, let's see what happens to the elements in the first column:
For the first row, 3a+(−a+b)+(−a+c)=3a−a−a+b+c=a+b+c.
For the second row, (−b+a)+3b+(−b+c)=a−b+3b−b+c=a+b+c.
For the third row, (−c+a)+(−c+b)+3c=a+b−c−c+3c=a+b+c.
Since all elements in the first column become (a+b+c), this is a strong indication that applying the operation C1→C1+C2+C3 will be beneficial.
Apply the column operation C1→C1+C2+C3.
This operation does not change the value of the determinant.
Δ=a+b+ca+b+ca+b+c−a+b3b−c+b−a+c−b+c3c
Factor out the common term (a+b+c) from the first column.
A property of determinants states that if all elements of a column (or row) are multiplied by a constant k, the value of the determinant is multiplied by k. Conversely, if a common factor exists in a column (or row), it can be taken out.
Δ=(a+b+c)111−a+b3b−c+b−a+c−b+c3c
Create zeros in the first column using row operations.
Now that we have 1,1,1 in the first column, we can easily create zeros by subtracting rows. This will simplify the determinant expansion significantly.
Apply the operations: R2→R2−R1 and R3→R3−R1.
For R2→R2−R1:
1−1=0
3b−(−a+b)=3b+a−b=a+2b
(−b+c)−(−a+c)=−b+c+a−c=a−b
For R3→R3−R1:
1−1=0
(−c+b)−(−a+b)=−c+b+a−b=a−c
3c−(−a+c)=3c+a−c=a+2c
The determinant becomes:
Δ=(a+b+c)100−a+ba+2ba−c−a+ca−ba+2c
Expand the determinant along the first column.
Since two elements in the first column are zero, the expansion is straightforward.
Same / Similar Concept — real previous-year questions on the same or a closely similar concept, not this exact question.
Showing the 12 most recent of 59 on this concept.
CBSE 2026Set 65/1/11 markMCQ
Q.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 out
A 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.
Tip
For 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 answer
The correct option is (B): Δ2=−2Δ1.
CBSE 2026Set A1 markMCQ
Q.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.
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 answer
Δ=−52.
CBSE 2025Set 65/4/11 markMCQ
Q.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.
Tip
A 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 out
A 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 answer
The value is m2, which corresponds to option (D).
CBSE 2025Set E1 markMCQ
Q.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).