Determinants
Comprehensive notes, formulas, and practice questions for Determinants.
Determinants
Determinants
What you'll learn
- What a determinant measures for a square matrix — scaling factor of linear transformations and solvability of Ax = b.
- To evaluate determinants of order 2 and 3 using Sarrus' rule and cofactor expansion.
- To apply properties of determinants: row interchange, scalar multiplication, row operations, and triangular form.
- To use determinants in Cramer's rule and to test whether a matrix is singular (|A| = 0).
- To connect determinants with area of parallelogram and volume of parallelepiped in coordinate geometry.
Key concepts
Level 1 — Foundations
Verbal: The determinant of a square matrix A, written |A| or det(A), is a scalar that encodes whether the matrix is invertible and how it scales area/volume.
Order 2: For A = | a b |, det(A) = ad − bc. | c d |
Order 3 (Sarrus): Write the matrix and repeat first two columns; sum products along ↘ diagonals minus products along ↖ diagonals.
Singular vs non-singular: |A| = 0 → A is singular (no inverse, rows/columns linearly dependent). |A| ≠ 0 → non-singular.
Geometric meaning: |det| equals area (2D) or volume (3D) of the figure spanned by column vectors.
Level 2 — JEE / NEET depth
Properties (NCERT — use freely in JEE): | Operation | Effect on |A| | |-----------|-------------| | Interchange two rows | Sign changes: |A′| = −|A| | | Multiply a row by k | |A′| = k|A| | | Add multiple of one row to another | |A| unchanged | | A has a zero row/column | |A| = 0 | | Two identical rows | |A| = 0 |
Cofactor expansion: det(A) = Σⱼ aᵢⱼ Cᵢⱼ along any row i (or column). Cᵢⱼ = (−1)ⁱ⁺ʲ Mᵢⱼ where Mᵢⱼ is the minor.
Product rule: det(AB) = det(A)·det(B) for square matrices of same order.
Cramer's rule (3 equations): x = Δₓ/Δ, y = Δᵧ/Δ, z = Δ_z/Δ where Δ is coefficient determinant; replace one column with constants for Δₓ etc. Valid only when Δ ≠ 0.
Worked example
Find det of a 3×3 matrix by expansion
A = | 1 2 3 |
| 0 −1 2 |
| 2 1 0 |
Step 1 — Expand along row 1 (contains a zero in row 2, col 1 — often efficient):
|A| = 1·|−1 2| − 2·|0 2| + 3·|0 −1|
| 1 0| |2 0| |2 1|
Step 2 — Minors: |−1 2| = (−1)(0) − (2)(1) = −2
| 1 0|
|0 2| = 0, |0 −1| = 0 − (−2) = 2
|2 0| |2 1|
Step 3 — |A| = 1(−2) − 2(0) + 3(2) = −2 + 6 = 4.
Use properties to simplify before expanding
B = | 1 2 3 |
| 2 4 6 |
| 1 0 1 |
Step 1 — Row 2 = 2 × Row 1 → two proportional rows.
Step 2 — Property: if two rows are proportional, |B| = 0.
Step 3 — Verify: R₂ ← R₂ − 2R₁ gives row of zeros → |B| = 0.
Step 4 — Conclusion: B is singular; system Bx = c may have no unique solution.
Common mistakes
| Mistake | Why it happens | Fix |
|---|---|---|
| Expanding along worst row | Random choice | Pick row/column with most zeros |
| Changing | A | when adding kR₁ to R₂ |
| Using Sarrus for 4×4 | Pattern only works for 3×3 | Use cofactor expansion or row reduction for order ≥ 4 |
| Applying Cramer's when Δ = 0 | Mechanical formula use | If Δ = 0, Cramer's fails — use rank/Gaussian elimination |
Quick check
- Evaluate | 2 1 |.
- Without full expansion, explain why | 1 2 3 | = 0.
- If |A| = 5, find |2A| for 3×3 matrix A.
- Find area of triangle with vertices (0,0), (3,0), (0,4) using determinants.
- Stretch: Prove det(Aᵀ) = det(A) for a 3×3 matrix using cofactor definition.
NCERT Chapter 3 link: Determinants appear in Exercise 4.1–4.5 with emphasis on properties before brute expansion. Learn property-based reduction to triangular form — faster and less error-prone than full cofactor expansion on exam day.
Exam connections: JEE asks area of triangle using determinants, singularity of matrices with parameters (find k if |A| = 0), and proving collinearity of three points via zero area. CBSE often combines determinants with solving equations — state clearly when Δ = 0 implies no unique solution.
Study strategy: Memorise the effect of each elementary row operation on |A|. Create a checklist: interchange → sign flip; scale row → scale det; add row multiple → unchanged. For 3×3, expand along the row with most zeros.
Study workflow and exam preparation
When studying Determinants within Matrices & Determinants, start by listing every formula and definition on one page without looking at the textbook. Compare your list to NCERT — missing items indicate gaps to fix immediately. Work through at least two NCERT Examples for this section with steps written in full; examiners award method marks even when arithmetic slips.
For board exams (CBSE), long answers benefit from a clear structure: definition → explanation → diagram or formula → example → brief conclusion. Underline key terms. For JEE Main and NEET, prioritise conceptual traps and quick calculation paths; timed mixed quizzes of 10 questions after revision simulate exam pressure.
Cross-topic link: Coordinate geometry and vectors often combine with matrices; calculus links to physics kinematics problems.
Spaced revision: Review this note at 1 day, 3 days, and 7 days after first study. Attempt the Quick check questions closed-book, then open the Practice tab for graded reinforcement. Maintain an error log — repeated mistake patterns reveal whether the issue is concept, formula recall, or careless reading.
Diagram and terminology drill: For Mathematics, redraw key figures from memory and define every labelled part in one sentence. Vocabulary precision prevents mark loss in descriptive answers — use NCERT terms exactly as printed in the textbook.
Revision tip: Link this topic to adjacent Class 12 chapters before attempting mixed practice.
Open the Practice tab for graded questions on Determinants.
Key Takeaways (TL;DR)
- What you'll learn
- Key concepts
- Worked example
- Common mistakes
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