Q.Using the properties of determinants, evaluate: 0x2yx2zxy20zy2xz2yz20
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.
Key idea: every entry carries factors of x,y,z in a pattern; pull them out of the columns and then the rows, leaving a plain numerical determinant.
Step 1 — factor x from C1, y from C2, z from C3:
Δ=xyz0xyxzxy0yzxzyz0.
Step 2 — factor x from R1, y from R2, z from R3:
Δ=x2y2z20xxy0yzz0.
Step 3 — expand along the first row:
0xxy0yzz0=−y(0−zx)+z(xy−0)=xyz+xyz=2xyz.
So Δ=x2y2z2⋅2xyz=2x3y3z3.
2x3y3z3
Pulling x,y,z from the three columns and then from the three rows leaves a small determinant equal to 2xyz, so the value is 2x3y3z3.
Intuition
Each entry is a single monomial in x,y,z, so instead of a brute expansion we strip the common factors out of every column and every row. Each strip multiplies out front, and the leftover determinant is tiny.
Setting up
Δ=0x2yx2zxy20zy2xz2yz20.
Working the steps
1. Factor the columns. Column 1 has common factor x, column 2 has y, column 3 has z:
Δ=xyz0xyxzxy0yzxzyz0.
2. Factor the rows. Now row 1 has common factor x, row 2 has y, row 3 has z:
Δ=xyz⋅xyz0xxy0yzz0=x2y2z20xxy0yzz0.
3. Expand the small determinant along the first row:
0xxy0yzz0=0−y(0⋅0−z⋅x)+z(x⋅y−0⋅x)=−y(−zx)+z(xy)=2xyz.
4. Multiply back:
Δ=x2y2z2⋅2xyz=2x3y3z3.
Check with x=1, y=2, z=3: the original determinant is 02340129180=432, and 2⋅13⋅23⋅33=432. ✓
2x3y3z3
Method: Factoring Common Variables Out of Rows and Columns Before Expanding
This method applies to determinants whose entries are monomials sharing common variable factors across rows and/or columns — instead of expanding a messy 3×3 directly, you strip out every shared factor first, leaving a tiny, easy determinant.
Steps
Step 1: Factor a common term out of each column
Scan each column for a variable common to every entry in it (treating a 0 entry as compatible with any factor) and pull it out in front of the determinant, dividing every entry in that column by the factor as you do:
Δ=(column factors)×⋯.
Step 2: Repeat for rows if a further common factor remains
After factoring columns, check whether each row of what's left also shares a common variable. If so, factor that out too — it's legitimate to factor rows and columns in sequence, as long as each factor is multiplied back in outside the determinant.
Step 3: Expand the small remaining determinant
What's left after two rounds of factoring is usually a determinant with simple 0s and single variables — expand this by cofactor expansion along whichever row/column has the most zeros.
Step 4: Multiply every factored term back together
Combine all the factors pulled out in Steps 1–2 with the value of the small determinant from Step 3 to get the final answer, and sanity-check by plugging in small numeric values for the variables into both the original and final expressions.
Common Mistakes
Mistake 1: Attempting a direct cofactor expansion instead of factoring first
Why it's wrong: expanding this 3×3 determinant directly (without first pulling x,y,z out of the columns and rows) means juggling six degree-5 monomial terms at once, which is slow and highly error-prone. Correct approach: always scan for a common monomial factor in each column (and then each row) before expanding — here x,y,z factor cleanly from the three columns, then again from the three rows.
Mistake 2: Mixing up which factor belongs to which row or column
Why it's wrong: factoring happens in two separate passes (columns, then rows), and assigning the wrong variable to the wrong row/column in the second pass gives a wrong overall power of x, y, or z in the final answer. Correct approach: track each factoring step explicitly — column factors give xyz, and the row factors on the new matrix independently give another xyz, for a combined x2y2z2.
Mistake 3: Sign error in the small 3×3 expansion
Why it's wrong: expanding 0xxy0yzz0 along the first row involves a double-negative in the middle cofactor (−y(0⋅0−z⋅x)=−y(−zx)=+xyz), and dropping one of the two negative signs gives −2xyz or 0 instead of 2xyz. Correct approach: write out 0⋅0−z⋅x explicitly before applying the cofactor's minus sign, rather than combining the signs mentally.
- AHSEC Higher Secondary (HS) Final Examination 2025Set ANNUAL1 markQ.Find the determinant of the matrix A=[−3]1×1.
›Reveal solutionSolution
The determinant of a 1×1 matrix is simply its single entry: −3.
For a 1×1 matrix A=[a], the determinant is defined as det(A)=a itself (there is no expansion needed since there's only one element).
Here A=[−3]1×1, so det(A)=−3.
✓Final answerdet(A)=−3.
- AHSEC Higher Secondary (HS) Final Examination 2024Set ANNUAL1 markQ.If A=[1422], then find ∣2nA∣, for some n∈N.
›Reveal solutionSolution
First find ∣A∣=−6, then use ∣kA∣=k2∣A∣ for a 2×2 matrix.
A=[1422], so ∣A∣=1(2)−2(4)=2−8=−6.
For an n×n matrix, ∣kA∣=kn∣A∣. Here A is 2×2 and the scalar is 2n, so
∣2nA∣=(2n)2∣A∣=22n⋅(−6)=−6⋅4n.
✓Final answer∣2nA∣=−6⋅4n.
- AHSEC Higher Secondary (HS) Final Examination 2019Set ANNUAL1 markQ.Let A be a skew-symmetric matrix of odd order. Write the value of ∣A∣.
›Reveal solutionSolution
Any skew-symmetric matrix of odd order has determinant 0.
Let A be skew-symmetric of odd order n, so AT=−A.
Taking determinants: det(AT)=det(−A).
Now det(AT)=det(A) (transpose doesn't change the determinant), and det(−A)=(−1)ndet(A) (each of the n rows is multiplied by −1).
Since n is odd, (−1)n=−1, so det(−A)=−det(A).
Combining: det(A)=−det(A)⟹2det(A)=0⟹det(A)=0.
✓Final answer∣A∣=0 for any skew-symmetric matrix of odd order.
- AHSEC Higher Secondary (HS) Final Examination 2019Set ANNUAL1 markQ.Let A be a matrix of order 3, such that ∣A∣=−9. Find the value of ∣−3A−1∣.
›Reveal solutionSolution
Using ∣A−1∣=1/∣A∣ and ∣kA∣=kn∣A∣ for an n×n matrix, ∣−3A−1∣=(−3)3⋅−91=3.
A has order 3 and ∣A∣=−9.
Step 1. ∣A−1∣=∣A∣1=−91=−91.
Step 2. For a scalar k multiplying an n×n matrix M, ∣kM∣=kn∣M∣. Here k=−3, n=3, M=A−1:
∣−3A−1∣=(−3)3∣A−1∣=(−27)(−91)=3.
✓Final answer∣−3A−1∣=3.
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