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Concept 04 / 09Matrices and Determinants

Properties of Determinants and Techniques for Evaluating Them

The effect of row and column operations, splitting a determinant along a row, factor-theorem evaluation of symmetric determinants, the product of determinants in row-by-row form, and determinants whose entries are functions (differentiation and summation).

Evaluating determinants by brute-force expansion is slow and error-prone. JEE rewards using properties to simplify first. Every property below is stated for rows, and each holds equally for columns, because det⁡AT=det⁡A\det A^{T} = \det A. 1. Interchanging two rows changes the sign of the determinant. Consequently, a determinant with two identical rows is 00 (swapping them changes the sign but not the determinant). 2. Multiplying one row by kk multiplies the determinant by kk. So a common factor of a row can be taken outside. And a determinant with two proportional rows is 00. 3. Adding a multiple of one row to another row, Ri→Ri+kRjR_{i} \to R_{i} + kR_{j}, does not change the determinant. This is the workhorse operation: use it to create zeros, then expand along the row or column with the zeros. 4. Linearity in each row: if every entry of one row is a sum of two terms, the determinant splits into the sum of two determinants, each containing one of the terms in that row and the other rows unchanged. Only one row is split at a time. Splitting two rows gives four determinants, not two. 5. If every entry of a row is 00, the determinant is 00. A caution about operations applied simultaneously: R1→R1−R2R_{1} \to R_{1} - R_{2}, R2→R2−R3R_{2} \to R_{2} - R_{3}, R3→R3−R1R_{3} \to R_{3} - R_{1} all at once is not allowed; it replaces the matrix by one whose rows sum to zero and the determinant becomes 00 incorrectly. Apply operations one after another, each using the current rows. Standard strategies. Row or column sums equal: if all rows (or columns) have the same sum, apply C1→C1+C2+C3C_{1} \to C_{1} + C_{2} + C_{3} to make the first column constant, take the common factor out, then subtract rows to create zeros. For example, ∣abcbcacab∣=−(a+b+c)(a2+b2+c2−ab−bc−ca)=−(a3+b3+c3−3abc)\begin{vmatrix} a & b & c \\ b & c & a \\ c & a & b \end{vmatrix} = -(a + b + c)(a^{2} + b^{2} + c^{2} - ab - bc - ca) = -(a^{3} + b^{3} + c^{3} - 3abc). Factor theorem: treat the determinant as a polynomial in one variable. If setting a=ba = b makes two rows equal, then (a−b)(a - b) is a factor. Find all such factors, compare degrees, and determine the remaining constant by a single convenient substitution. Recognise a product: a determinant may be the product of two simpler determinants. The product rule can be applied in 'row-by-row' form: since det⁡(ABT)=det⁡Adet⁡B\det(AB^{T}) = \det A\det B, the (i,j)(i, j) entry of the product may be formed as row ii of AA dotted with row jj of BB. For instance, a determinant with entries (ai−bj)2(a_{i} - b_{j})^{2} can be written as a product of two determinants built from 1,ai,ai21, a_{i}, a_{i}^{2} and bj2,−2bj,1b_{j}^{2}, -2b_{j}, 1. Determinants of functions. If the entries are functions of xx, the derivative of the determinant is the sum of nn determinants, each obtained by differentiating one row and leaving the others alone. This follows from the product rule applied to each term of the expansion. Similarly, if only one row depends on a summation index rr, then ∑rΔr\sum_{r}\Delta_{r} is the determinant with that row replaced by the sums of its entries, and the other rows unchanged (linearity in a single row). Key Takeaways: - Swap two rows: sign changes. Two equal or proportional rows: determinant 00. - Factor out a common multiple from a single row. - Ri→Ri+kRjR_{i} \to R_{i} + kR_{j} leaves the determinant unchanged; use it to create zeros. - A determinant splits along one row at a time. - Equal row sums: add all columns into one and take out the common sum. - Factor theorem: equal rows when a=ba = b means (a−b)(a - b) is a factor. - ddxΔ\frac{d}{dx}\Delta = sum of determinants with one row differentiated at a time. - Pitfall: applying cyclic row operations simultaneously, which makes every determinant appear to be 00. Brain-Teaser 1: Evaluate ∣1+a1111+b1111+c∣\begin{vmatrix} 1 + a & 1 & 1 \\ 1 & 1 + b & 1 \\ 1 & 1 & 1 + c \end{vmatrix}. Solution: Subtract row 1 from rows 2 and 3: R2→R2−R1R_{2} \to R_{2} - R_{1} gives (−a,b,0)(-a, b, 0) and R3→R3−R1R_{3} \to R_{3} - R_{1} gives (−a,0,c)(-a, 0, c). Now expand along the third column: the entries are 1,0,c1, 0, c. The determinant is 1⋅∣−ab−a0∣+c⋅∣1+a1−ab∣1 \cdot \begin{vmatrix} -a & b \\ -a & 0 \end{vmatrix} + c \cdot \begin{vmatrix} 1 + a & 1 \\ -a & b \end{vmatrix}, with signs ++ at position (1,3)(1, 3) and ++ at (3,3)(3, 3). The first minor is 0+ab=ab0 + ab = ab, and the second is b(1+a)+a=ab+a+bb(1 + a) + a = ab + a + b. Total: ab+abc+ac+bcab + abc + ac + bc. In symmetric form, abc(1+1a+1b+1c)abc(1 + \frac{1}{a} + \frac{1}{b} + \frac{1}{c}) when abc≠0abc \neq 0. Creating zeros before expanding turned a messy expansion into two small 2×22 \times 2 determinants. Brain-Teaser 2: If f(x)=∣xsin⁡xcos⁡x6−10pp2p3∣f(x) = \begin{vmatrix} x & \sin x & \cos x \\ 6 & -1 & 0 \\ p & p^{2} & p^{3} \end{vmatrix} where pp is constant, find d3dx3f(x)\frac{d^{3}}{dx^{3}}f(x) at x=0x = 0. Solution: Only the first row depends on xx, so differentiating three times differentiates only that row: f′′′(x)=∣0−cos⁡xsin⁡x6−10pp2p3∣f'''(x) = \begin{vmatrix} 0 & -\cos x & \sin x \\ 6 & -1 & 0 \\ p & p^{2} & p^{3} \end{vmatrix}. At x=0x = 0 the first row is (0,−1,0)(0, -1, 0). Expanding along it, the only non-zero term is at position (1,2)(1, 2) with sign −-: −(−1)∣60pp3∣=6p3-(-1)\begin{vmatrix} 6 & 0 \\ p & p^{3} \end{vmatrix} = 6p^{3}. So f′′′(0)=6p3f'''(0) = 6p^{3}. Recognising that a constant row stays fixed means you never need to expand the original determinant at all. Brain-Teaser 3: Show that ∣abcbcacab∣≤0\begin{vmatrix} a & b & c \\ b & c & a \\ c & a & b \end{vmatrix} \le 0 for all non-negative real a,b,ca, b, c. Solution: Apply C1→C1+C2+C3C_{1} \to C_{1} + C_{2} + C_{3}: the first column becomes (a+b+c)(a + b + c) in every row. Taking it out, the determinant is (a+b+c)∣1bc1ca1ab∣(a + b + c)\begin{vmatrix} 1 & b & c \\ 1 & c & a \\ 1 & a & b \end{vmatrix}. Subtract row 1 from rows 2 and 3, then expand along the first column: (a+b+c)[(c−b)(b−c)−(a−c)(a−b)](a + b + c)[(c - b)(b - c) - (a - c)(a - b)]. Simplifying the bracket gives −(a2+b2+c2−ab−bc−ca)-(a^{2} + b^{2} + c^{2} - ab - bc - ca). So the determinant is −(a+b+c)⋅12[(a−b)2+(b−c)2+(c−a)2]-(a + b + c) \cdot \frac{1}{2}[(a - b)^{2} + (b - c)^{2} + (c - a)^{2}], which is ≤0\le 0 when a+b+c≥0a + b + c \ge 0. Equality holds when a=b=ca = b = c or a+b+c=0a + b + c = 0. The sign becomes obvious only after the determinant is factored into a sum and a sum of squares.