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Determinants for JEE: Properties, Adjoint, Inverse and Systems

Ritesh Raj · 3 Nov 2026
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16 min read9 sectionsConcept

Every square matrix has a single number attached to it, its determinant. That number decides whether the matrix has an inverse, whether a system of equations has one solution, none or infinitely many, and what area three points enclose. JEE asks about it in two ways: compute it cleverly, or use its rules (product, adjoint, inverse) without computing anything at all.

This note follows straight on from the Matrices note. It builds the value of a determinant, its properties, the product rule, area and collinearity, the adjoint and its chain of rules, the inverse, and systems of linear equations. Every worked example is a JEE Main 2026 question unless it says otherwise, and every answer was re-derived from scratch.

Value of a determinant

For a 2×22\times2 matrix,

∣abcd∣=ad−bc\begin{vmatrix}a&b\\c&d\end{vmatrix}=ad-bc

For a 3×33\times3 matrix, the minor MijM_{ij} of the entry aija_{ij} is the 2×22\times2 determinant left after deleting row ii and column jj. The cofactor is the minor with a sign:

Cij=(−1)i+jMijC_{ij}=(-1)^{i+j}M_{ij} Left: a 3 by 3 matrix with row 2 and column 3 shaded and the four remaining entries boxed as the minor of a23. Right: the checkerboard of signs plus, minus, plus for the cofactors

The determinant is the sum of the entries of any one row or column, each times its own cofactor. Along row 1:

Δ=a11C11+a12C12+a13C13\Delta=a_{11}C_{11}+a_{12}C_{12}+a_{13}C_{13} Δ=a11M11−a12M12+a13M13\Delta=a_{11}M_{11}-a_{12}M_{12}+a_{13}M_{13}

Expand along the row or column with the most zeros. One more fact is used in the adjoint section: entries of one row times the cofactors of a different row always add to 00.

a11C21+a12C22+a13C23=0a_{11}C_{21}+a_{12}C_{22}+a_{13}C_{23}=0

Example 1 (JEE Main 2026, 4 April Shift 2). Let

A=[1274−2838−7]A=\begin{bmatrix}1&2&7\\4&-2&8\\3&8&-7\end{bmatrix}

and det⁡(A−αI)=0\det(A-\alpha I)=0 for a real number α\alpha. If the largest possible value of α\alpha is pp, then the circle (x−p)2+(y−2p)2=320(x-p)^2+(y-2p)^2=320 meets the coordinate axes at

Tap an option to check your answer
(1)11 point
(2)22 points
(3)33 points
(4)44 points
▸ SHOW SOLUTION

Step 1. Expand the determinant

det⁡(A−αI)\det(A-\alpha I) is

∣1−α274−2−α838−7−α∣\begin{vmatrix}1-\alpha&2&7\\4&-2-\alpha&8\\3&8&-7-\alpha\end{vmatrix}

Expanding along row 1 and collecting powers of α\alpha:

det⁡(A−αI)=−α3−8α2+88α+320\det(A-\alpha I)=-\alpha^3-8\alpha^2+88\alpha+320

Step 2. Find the roots

α=8\alpha=8 gives −512−512+704+320=0-512-512+704+320=0, so α−8\alpha-8 is a factor:

−(α−8)(α2+16α+40)=0-(\alpha-8)(\alpha^2+16\alpha+40)=0α=8,α=−8±26\alpha=8,\quad \alpha=-8\pm2\sqrt6

Both other roots are negative, so p=8p=8.

Step 3. Meet the axes

The circle is (x−8)2+(y−16)2=320(x-8)^2+(y-16)^2=320.

On y=0y=0:

(x−8)2=64  ⟹  x=0, 16(x-8)^2=64\implies x=0,\ 16

On x=0x=0:

(y−16)2=256  ⟹  y=0, 32(y-16)^2=256\implies y=0,\ 32

The origin is counted in both lists, so the distinct points are (0,0)(0,0), (16,0)(16,0) and (0,32)(0,32).

Circle with centre (8, 16) passing through the origin and meeting the x-axis again at (16, 0) and the y-axis again at (0, 32)

Answer: (3) 33 points

Properties of determinants

These are what make a determinant quick to evaluate. Each is stated for rows; every one holds for columns as well.

#PropertyEffect on Δ\Delta
1Transpose∣AT∣=∣A∣\lvert A^T\rvert=\lvert A\rvert
2Swap two rowssign changes
3Two rows equal or proportionalΔ=0\Delta=0
4Multiply one row by kkΔ\Delta becomes kΔk\Delta
5A row is a sum of two rowsΔ\Delta splits into two determinants
6Ri→Ri+kRjR_i\to R_i+kR_jno change
7A row of zerosΔ=0\Delta=0

Property 5 is the one that handles sums. If only one column of a determinant depends on nn, then summing the determinant over nn is the same as summing that column and keeping the others fixed:

∑n∣f(n)b1c1g(n)b2c2h(n)b3c3∣=∣∑f(n)b1c1∑g(n)b2c2∑h(n)b3c3∣\sum_n\begin{vmatrix}f(n)&b_1&c_1\\g(n)&b_2&c_2\\h(n)&b_3&c_3\end{vmatrix}=\begin{vmatrix}\sum f(n)&b_1&c_1\\\sum g(n)&b_2&c_2\\\sum h(n)&b_3&c_3\end{vmatrix}
Property 4 is about one row, not the whole matrix

Multiplying one row by kk multiplies the determinant by kk. Multiplying the whole n×nn\times n matrix by kk multiplies every row by kk, so

∣kA∣=kn∣A∣\lvert kA\rvert=k^n\lvert A\rvert

For a 3×33\times3 matrix, ∣2A∣=8∣A∣\lvert 2A\rvert=8\lvert A\rvert, not 2∣A∣2\lvert A\rvert. This single slip costs more marks in this chapter than anything else.

Example 2 (JEE Main 2026, 23 January Shift 1). Among the statements

I: if

D1=∣1cos⁡αcos⁡βcos⁡α1cos⁡γcos⁡βcos⁡γ1∣D_1=\begin{vmatrix}1&\cos\alpha&\cos\beta\\\cos\alpha&1&\cos\gamma\\\cos\beta&\cos\gamma&1\end{vmatrix} D0=∣0cos⁡αcos⁡βcos⁡α0cos⁡γcos⁡βcos⁡γ0∣D_0=\begin{vmatrix}0&\cos\alpha&\cos\beta\\\cos\alpha&0&\cos\gamma\\\cos\beta&\cos\gamma&0\end{vmatrix}

and D1=D0D_1=D_0,

then cos⁡2α+cos⁡2β+cos⁡2γ=32\cos^2\alpha+\cos^2\beta+\cos^2\gamma=\dfrac32;

II: if the determinant

∣x2+xx+1x−22x2+3x−13x3x−3x2+2x+32x−12x−1∣\begin{vmatrix}x^2+x&x+1&x-2\\2x^2+3x-1&3x&3x-3\\x^2+2x+3&2x-1&2x-1\end{vmatrix}

equals px+qpx+q,

then p2=196q2p^2=196q^2,

Tap an option to check your answer
(1)both are false
(2)only II is true
(3)both are true
(4)only I is true
▸ SHOW SOLUTION

Step 1. Statement I

Write a=cos⁡αa=\cos\alpha, b=cos⁡βb=\cos\beta, c=cos⁡γc=\cos\gamma and expand both:

left=1−a2−b2−c2+2abc\text{left}=1-a^2-b^2-c^2+2abcright=2abc\text{right}=2abc

Equal only when a2+b2+c2=1a^2+b^2+c^2=1, not 32\dfrac32. False.

Step 2. Statement II, find q

Put x=0x=0:

q=∣01−2−10−33−1−1∣q=\begin{vmatrix}0&1&-2\\-1&0&-3\\3&-1&-1\end{vmatrix}q=−1(1+9)−2(1)=−12q=-1(1+9)-2(1)=-12

Step 3. Find p

Put x=1x=1:

p+q=∣22−1430611∣p+q=\begin{vmatrix}2&2&-1\\4&3&0\\6&1&1\end{vmatrix}p+q=2(3)−2(4)−1(4−18)=12p+q=2(3)-2(4)-1(4-18)=12

So p=24p=24.

Step 4. Check

p2=576,196q2=196×144p^2=576,\qquad 196q^2=196\times144

Not equal. False.

Answer: (1) both are false

Example 3 (JEE Main 2026, 5 April Shift 2). For k∈Nk\in\mathbb N, define f:N→Zf:\mathbb N\to\mathbb Z by letting f(n)f(n) be

∣n−1−5−2n23(2k+1)2k+1−3n33k(2k+1)3k(k+2)+1∣\begin{vmatrix}n&-1&-5\\-2n^2&3(2k+1)&2k+1\\-3n^3&3k(2k+1)&3k(k+2)+1\end{vmatrix}

If the sum of f(n)f(n) for n=1n=1 to kk is 9898, then kk is

Tap an option to check your answer
(1)33
(2)44
(3)55
(4)66
▸ SHOW SOLUTION

Step 1. Expand along column 1

Only column 1 contains nn. Its cofactors do not:

C11=3(2k+1)(k2+5k+1)C_{11}=3(2k+1)(k^2+5k+1)C21=−(27k2+9k−1)C_{21}=-(27k^2+9k-1)C31=14(2k+1)C_{31}=14(2k+1)f(n)=nC11−2n2C21−3n3C31f(n)=nC_{11}-2n^2C_{21}-3n^3C_{31}

Step 2. Sum over n

Use the three standard sums:

∑n=k(k+1)2\sum n=\frac{k(k+1)}{2}∑n2=k(k+1)(2k+1)6\sum n^2=\frac{k(k+1)(2k+1)}{6}∑n3=k2(k+1)24\sum n^3=\frac{k^2(k+1)^2}{4}

Take k(k+1)(2k+1)6\dfrac{k(k+1)(2k+1)}{6} out of every term. What is left is

9(k2+5k+1)+2(27k2+9k−1)9(k^2+5k+1)+2(27k^2+9k-1)−63k(k+1)=7-63k(k+1)=7∑n=1kf(n)=7⋅k(k+1)(2k+1)6\sum_{n=1}^{k}f(n)=7\cdot\frac{k(k+1)(2k+1)}{6}

Step 3. Solve

7∑n2=987\sum n^2=98∑n2=14=1+4+9\sum n^2=14=1+4+9

So k=3k=3.

Answer: (1) 33

Example 4 (JEE Main 2026, 24 January Shift 2). Let P=[pij]P=[p_{ij}] and Q=[qij]Q=[q_{ij}] be square matrices of order 33 with qij=2 i+j−1pijq_{ij}=2^{\,i+j-1}p_{ij} and det⁡Q=210\det Q=2^{10}. Then det⁡(adj⁡(adj⁡P))\det(\operatorname{adj}(\operatorname{adj}P)) is

Tap an option to check your answer
(1)3232
(2)1616
(3)8181
(4)124124
▸ SHOW SOLUTION

Step 1. Take factors out of rows and columns

qij=2 i−1⋅2 j⋅pijq_{ij}=2^{\,i-1}\cdot2^{\,j}\cdot p_{ij}

Row ii carries 2i−12^{i-1}, so the rows give 20+1+2=232^{0+1+2}=2^3. Column jj carries 2j2^j, so the columns give 21+2+3=262^{1+2+3}=2^6.

det⁡Q=29det⁡P\det Q=2^9\det P

Step 2. Find det P

29det⁡P=210  ⟹  det⁡P=22^9\det P=2^{10}\implies\det P=2

Step 3. Use the adjoint rule

For order 33, ∣adj⁡(adj⁡P)∣=∣P∣4\lvert\operatorname{adj}(\operatorname{adj}P)\rvert=\lvert P\rvert^4 (see the adjoint section):

24=162^4=16

Answer: (2) 1616

Example 5 (IITianForum). If 0≤[x]<30\le[x]<3, −2≤[y]<1-2\le[y]<1 and 1≤[z]<41\le[z]<4, where [ ⋅ ][\,\cdot\,] is the greatest integer function, find the maximum value of

Δ=∣[x]+1[y][z][x][y]+1[z][x][y][z]+1∣\Delta=\begin{vmatrix}[x]+1&[y]&[z]\\ [x]&[y]+1&[z]\\ [x]&[y]&[z]+1\end{vmatrix}
▸ SHOW SOLUTION

Step 1. Short names

Write p=[x]p=[x], q=[y]q=[y], r=[z]r=[z].

Step 2. Add all columns into the first

C1→C1+C2+C3C_1\to C_1+C_2+C_3 makes every entry of column 1 equal to 1+p+q+r1+p+q+r. Take it out:

Δ=(1+p+q+r)∣1qr1q+1r1qr+1∣\Delta=(1+p+q+r)\begin{vmatrix}1&q&r\\1&q+1&r\\1&q&r+1\end{vmatrix}

Step 3. Clear column 1

R2→R2−R1R_2\to R_2-R_1 and R3→R3−R1R_3\to R_3-R_1:

∣1qr010001∣=1\begin{vmatrix}1&q&r\\0&1&0\\0&0&1\end{vmatrix}=1Δ=1+p+q+r\Delta=1+p+q+r

Step 4. Largest values

p≤2p\le2, q≤0q\le0, r≤3r\le3:

Δmax⁡=1+2+0+3=6\Delta_{\max}=1+2+0+3=6

Answer: 66

Product rule

For square matrices of the same order,

∣AB∣=∣A∣ ∣B∣\lvert AB\rvert=\lvert A\rvert\,\lvert B\rvert

and so

∣An∣=∣A∣n,∣A−1∣=1∣A∣\lvert A^n\rvert=\lvert A\rvert^n,\qquad \lvert A^{-1}\rvert=\frac{1}{\lvert A\rvert}

A matrix with ∣A∣=0\lvert A\rvert=0 is singular; one with ∣A∣≠0\lvert A\rvert\ne0 is non-singular. Only non-singular matrices have inverses.

Example 6 (JEE Main 2026, 22 January Shift 1). If

A=[2335]A=\begin{bmatrix}2&3\\3&5\end{bmatrix}

then the determinant of A2025−3A2024+A2023A^{2025}-3A^{2024}+A^{2023} is

Tap an option to check your answer
(1)2828
(2)1212
(3)2424
(4)1616
▸ SHOW SOLUTION

Step 1. Factor out the lowest power

A2025−3A2024+A2023A^{2025}-3A^{2024}+A^{2023}=A2023(A2−3A+I)=A^{2023}(A^2-3A+I)

Step 2. Use the 2×2 identity

tr⁡A=7\operatorname{tr}A=7 and ∣A∣=10−9=1\lvert A\rvert=10-9=1:

A2−7A+I=O  ⟹  A2+I=7AA^2-7A+I=O\implies A^2+I=7AA2−3A+I=4AA^2-3A+I=4A

Step 3. Product rule

∣A2023⋅4A∣=∣A∣2023⋅42∣A∣\lvert A^{2023}\cdot4A\rvert=\lvert A\rvert^{2023}\cdot4^2\lvert A\rvert=1⋅16⋅1=16=1\cdot16\cdot1=16

Answer: (4) 1616

Example 7 (IITianForum). Let

A1=∣abcbcacab∣≠0A_1=\begin{vmatrix}a&b&c\\b&c&a\\c&a&b\end{vmatrix}\ne0 A2=∣a+3bb+2cc+5ab+3cc+2aa+5bc+3aa+2bb+5c∣A_2=\begin{vmatrix}a+3b&b+2c&c+5a\\b+3c&c+2a&a+5b\\c+3a&a+2b&b+5c\end{vmatrix}

Find A2A1\dfrac{A_2}{A_1}.

▸ SHOW SOLUTION

Step 1. Columns of A₂ from columns of A₁

Call the columns of A1A_1 C1C_1, C2C_2, C3C_3. The columns of A2A_2 are

C1+3C2,C2+2C3,C3+5C1C_1+3C_2,\quad C_2+2C_3,\quad C_3+5C_1

Step 2. Write it as a product

Column jj of a product PMPM is ∑k(column k of P) mkj\sum_k(\text{column }k\text{ of }P)\,m_{kj}, so

A2=A1⋅∣105310021∣A_2=A_1\cdot\begin{vmatrix}1&0&5\\3&1&0\\0&2&1\end{vmatrix}

Step 3. The small determinant

1(1−0)−0+5(6−0)=311(1-0)-0+5(6-0)=31

Answer: 3131

Do not expand A1A_1 or A2A_2. Spotting that one is the other with columns mixed linearly turns the question into a 3×33\times3 of small numbers.

Area of a triangle and collinearity

The area of the triangle with vertices (x1,y1)(x_1,y_1), (x2,y2)(x_2,y_2), (x3,y3)(x_3,y_3) is

Area=12∣∣x1y11x2y21x3y31∣∣\text{Area}=\frac12\left\lvert\begin{vmatrix}x_1&y_1&1\\x_2&y_2&1\\x_3&y_3&1\end{vmatrix}\right\rvert

The determinant itself can be negative; the area is its absolute value. The three points are collinear exactly when the determinant is 00.

Two panels: a shaded triangle with vertices A, B and C, and three points A, B, C on one straight line where the triangle has collapsed

Example 8 (IITianForum). The points A(1,1)A(1,1), B(3,4)B(3,4) and C(k,7)C(k,7) form a triangle of area 66. Find kk. For which kk are the three points collinear?

▸ SHOW SOLUTION

Step 1. The determinant

∣111341k71∣\begin{vmatrix}1&1&1\\3&4&1\\k&7&1\end{vmatrix}=(4−7)−(3−k)+(21−4k)=(4-7)-(3-k)+(21-4k)=15−3k=15-3k

Step 2. Area 6

12∣15−3k∣=6  ⟹  ∣15−3k∣=12\frac12\lvert15-3k\rvert=6\implies\lvert15-3k\rvert=12k=1 or k=9k=1\ \text{or}\ k=9

Step 3. Collinear

15−3k=0  ⟹  k=515-3k=0\implies k=5

Check: (1,1)(1,1), (3,4)(3,4), (5,7)(5,7) all have slope 32\dfrac32 between them.

Answer: k=1k=1 or 99; collinear at k=5k=5.

Both values of kk are needed: the area condition fixes ∣Δ∣\lvert\Delta\rvert, not its sign, and the two answers sit symmetrically on either side of the collinear value 55.

Example 9 (IITianForum). A triangle has vertices (x1,y1)(x_1,y_1), (x2,y2)(x_2,y_2), (x3,y3)(x_3,y_3) and sides aa, bb, cc. If

Δ=∣x1y11x2y21x3y31∣\Delta=\begin{vmatrix}x_1&y_1&1\\x_2&y_2&1\\x_3&y_3&1\end{vmatrix}

and Δ2=μ (a+b+c)(b+c−a)(c+a−b)(a+b−c)\Delta^2=\mu\,(a+b+c)(b+c-a)(c+a-b)(a+b-c), find μ\mu.

▸ SHOW SOLUTION

Step 1. Area from the determinant

Area S=12∣Δ∣S=\dfrac12\lvert\Delta\rvert, so

Δ2=4S2\Delta^2=4S^2

Step 2. Area from Heron's formula

With s=a+b+c2s=\dfrac{a+b+c}{2}, S2=s(s−a)(s−b)(s−c)S^2=s(s-a)(s-b)(s-c), which is

16S2=(a+b+c)(b+c−a)16S^2=(a+b+c)(b+c-a)×(c+a−b)(a+b−c)\qquad\times(c+a-b)(a+b-c)

Step 3. Compare

Δ2=4S2=14⋅16S2\Delta^2=4S^2=\frac14\cdot16S^2

Answer: μ=14\mu=\dfrac14

Adjoint of a matrix

The adjoint of a square matrix is the transpose of its matrix of cofactors:

adj⁡A=[Cij]T\operatorname{adj}A=[C_{ij}]^T Three 3 by 3 grids: A, then the cofactor matrix with each Cij in place, then adj A with the cofactors reflected across the diagonal

For a 2×22\times2 matrix this is quick: swap the diagonal entries and change the sign of the other two.

adj⁡[abcd]=[d−b−ca]\operatorname{adj}\begin{bmatrix}a&b\\c&d\end{bmatrix}=\begin{bmatrix}d&-b\\-c&a\end{bmatrix}

The key identity comes from the two expansion facts in the first section. Row ii of AA times column jj of adj⁡A\operatorname{adj}A is row ii against the cofactors of row jj, which is ∣A∣\lvert A\rvert when i=ji=j and 00 otherwise:

A(adj⁡A)=(adj⁡A)A=∣A∣IA(\operatorname{adj}A)=(\operatorname{adj}A)A=\lvert A\rvert I

Take determinants of both sides, for order nn:

∣A∣ ∣adj⁡A∣=∣A∣n\lvert A\rvert\,\lvert\operatorname{adj}A\rvert=\lvert A\rvert^n

Everything in the table below follows from these two lines.

Rule, order nnOrder 33
∣adj⁡A∣=∣A∣n−1\lvert\operatorname{adj}A\rvert=\lvert A\rvert^{n-1}∣A∣2\lvert A\rvert^2
adj⁡(adj⁡A)=∣A∣n−2A\operatorname{adj}(\operatorname{adj}A)=\lvert A\rvert^{n-2}A∣A∣A\lvert A\rvert A
∣adj⁡(adj⁡A)∣=∣A∣(n−1)2\lvert\operatorname{adj}(\operatorname{adj}A)\rvert=\lvert A\rvert^{(n-1)^2}∣A∣4\lvert A\rvert^4
adj⁡(kA)=kn−1adj⁡A\operatorname{adj}(kA)=k^{n-1}\operatorname{adj}Ak2adj⁡Ak^2\operatorname{adj}A
adj⁡(AB)=(adj⁡B)(adj⁡A)\operatorname{adj}(AB)=(\operatorname{adj}B)(\operatorname{adj}A)same
adj⁡(AT)=(adj⁡A)T\operatorname{adj}(A^T)=(\operatorname{adj}A)^Tsame
Peel from the outside in

For a nested expression such as ∣adj⁡(3adj⁡(…))∣\lvert\operatorname{adj}(3\operatorname{adj}(\ldots))\rvert, never build the matrix. Work out the determinant of the innermost piece, then apply one rule per layer moving outward: ∣kM∣=kn∣M∣\lvert kM\rvert=k^n\lvert M\rvert for a scalar, ∣adj⁡M∣=∣M∣n−1\lvert\operatorname{adj}M\rvert=\lvert M\rvert^{n-1} for an adjoint, ∣MN∣=∣M∣∣N∣\lvert MN\rvert=\lvert M\rvert\lvert N\rvert for a product.

Example 10 (IITianForum). A square matrix AA of order nn has ∣A∣=4\lvert A\rvert=4 and ∣adj⁡A∣=214\lvert\operatorname{adj}A\rvert=2^{14}. The number of entries in AA is

Tap an option to check your answer
(1)1616
(2)4949
(3)6464
(4)8181
▸ SHOW SOLUTION

Step 1. Use the adjoint rule

∣adj⁡A∣=∣A∣n−1=4n−1=22n−2\lvert\operatorname{adj}A\rvert=\lvert A\rvert^{n-1}=4^{n-1}=2^{2n-2}

Step 2. Solve

2n−2=14  ⟹  n=82n-2=14\implies n=8

An 8×88\times8 matrix has 6464 entries.

Answer: (3) 6464

Example 11 (JEE Main 2026, 23 January Shift 1). Let AA be a 3×33\times3 matrix with ∣A∣=6\lvert A\rvert=6. If

∣adj⁡(3adj⁡(A2adj⁡(2A)))∣=2m3n\left\lvert\operatorname{adj}\big(3\operatorname{adj}(A^2\operatorname{adj}(2A))\big)\right\rvert=2^m3^n

for m,n∈Nm,n\in\mathbb N, then m+nm+n is ______.

▸ SHOW SOLUTION

Step 1. Innermost

∣2A∣=8⋅6=48\lvert2A\rvert=8\cdot6=48∣adj⁡(2A)∣=482=28⋅32\lvert\operatorname{adj}(2A)\rvert=48^2=2^8\cdot3^2

Step 2. Next layer

∣A2adj⁡(2A)∣=36⋅28⋅32=210⋅34\lvert A^2\operatorname{adj}(2A)\rvert=36\cdot2^8\cdot3^2=2^{10}\cdot3^4

Call this matrix NN.

Step 3. Adjoint, then the scalar 3

∣adj⁡N∣=∣N∣2=220⋅38\lvert\operatorname{adj}N\rvert=\lvert N\rvert^2=2^{20}\cdot3^8∣3adj⁡N∣=27⋅220⋅38=220⋅311\lvert3\operatorname{adj}N\rvert=27\cdot2^{20}\cdot3^8=2^{20}\cdot3^{11}

Step 4. Outer adjoint

(220⋅311)2=240⋅322\left(2^{20}\cdot3^{11}\right)^2=2^{40}\cdot3^{22}m+n=40+22=62m+n=40+22=62

Answer: 6262

Example 12 (JEE Main 2026, 22 January Shift 1). Let AA be a 3×33\times3 matrix with A+AT=OA+A^T=O. If

A[1−10]=[332],A2[1−10]=[−319−24]A\begin{bmatrix}1\\-1\\0\end{bmatrix}=\begin{bmatrix}3\\3\\2\end{bmatrix},\quad A^2\begin{bmatrix}1\\-1\\0\end{bmatrix}=\begin{bmatrix}-3\\19\\-24\end{bmatrix}

and det⁡(adj⁡(2adj⁡(A+I)))=2α3β11γ\det\big(\operatorname{adj}(2\operatorname{adj}(A+I))\big)=2^\alpha3^\beta11^\gamma with α,β,γ\alpha,\beta,\gamma non-negative integers, then α+β+γ\alpha+\beta+\gamma is ______.

▸ SHOW SOLUTION

Step 1. Write the skew-symmetric A

A=[0ab−a0c−b−c0]A=\begin{bmatrix}0&a&b\\-a&0&c\\-b&-c&0\end{bmatrix}

Step 2. First condition

A[1−10]=[−a−a−b+c]=[332]A\begin{bmatrix}1\\-1\\0\end{bmatrix}=\begin{bmatrix}-a\\-a\\-b+c\end{bmatrix}=\begin{bmatrix}3\\3\\2\end{bmatrix}

So a=−3a=-3 and c−b=2c-b=2.

Step 3. Second condition

A2v=A(Av)A^2v=A(Av), so apply AA to (3,3,2)(3,3,2):

A[332]=[3a+2b−3a+2c−3b−3c]=[−319−24]A\begin{bmatrix}3\\3\\2\end{bmatrix}=\begin{bmatrix}3a+2b\\-3a+2c\\-3b-3c\end{bmatrix}=\begin{bmatrix}-3\\19\\-24\end{bmatrix}

3a+2b=−33a+2b=-3 gives b=3b=3, and then c=5c=5. (The other two rows check.)

Step 4. Determinant of A + I

∣A+I∣=∣1−33315−3−51∣\lvert A+I\rvert=\begin{vmatrix}1&-3&3\\3&1&5\\-3&-5&1\end{vmatrix}

For a skew-symmetric 3×33\times3 matrix this is always 1+a2+b2+c21+a^2+b^2+c^2:

∣A+I∣=1+9+9+25=44\lvert A+I\rvert=1+9+9+25=44

Step 5. Peel the layers

∣adj⁡(A+I)∣=442\lvert\operatorname{adj}(A+I)\rvert=44^2∣2adj⁡(A+I)∣=8⋅442\lvert2\operatorname{adj}(A+I)\rvert=8\cdot44^2∣adj⁡(…)∣=(8⋅442)2=26⋅444\lvert\operatorname{adj}(\ldots)\rvert=\left(8\cdot44^2\right)^2=2^6\cdot44^4

444=28⋅11444^4=2^8\cdot11^4, so the value is 214⋅1142^{14}\cdot11^4.

α+β+γ=14+0+4=18\alpha+\beta+\gamma=14+0+4=18

Answer: 1818

Example 13 (JEE Main 2026, 4 April Shift 1). Let

A=[112−201135]A=\begin{bmatrix}1&1&2\\-2&0&1\\1&3&5\end{bmatrix}

Then the sum of all elements of adj⁡(adj⁡(2(adj⁡A)−1))\operatorname{adj}\big(\operatorname{adj}\big(2(\operatorname{adj}A)^{-1}\big)\big) is

Tap an option to check your answer
(1)33
(2)44
(3)−4-4
(4)−3-3
▸ SHOW SOLUTION

Step 1. Determinant of A

∣A∣=1(0−3)−1(−10−1)+2(−6)\lvert A\rvert=1(0-3)-1(-10-1)+2(-6)∣A∣=−3+11−12=−4\lvert A\rvert=-3+11-12=-4

Step 2. Inverse of the adjoint

From (adj⁡A)A=∣A∣I(\operatorname{adj}A)A=\lvert A\rvert I:

(adj⁡A)−1=A∣A∣=−A4(\operatorname{adj}A)^{-1}=\frac{A}{\lvert A\rvert}=-\frac{A}{4}

So X=2(adj⁡A)−1=−A2X=2(\operatorname{adj}A)^{-1}=-\dfrac{A}{2}.

Step 3. Double adjoint

For order 33, adj⁡(adj⁡X)=∣X∣X\operatorname{adj}(\operatorname{adj}X)=\lvert X\rvert X.

∣X∣=(−12)3(−4)=12\lvert X\rvert=\left(-\frac12\right)^3(-4)=\frac12adj⁡(adj⁡X)=12⋅(−A2)=−A4\operatorname{adj}(\operatorname{adj}X)=\frac12\cdot\left(-\frac A2\right)=-\frac A4

Step 4. Sum of elements

Elements of AA add to 1212, so the answer is −124=−3-\dfrac{12}{4}=-3.

Answer: (4) −3-3

Example 14 (JEE Main 2026, 6 April Shift 1). Let

A=[−11−1101001]A=\begin{bmatrix}-1&1&-1\\1&0&1\\0&0&1\end{bmatrix}

satisfy

A2+αadj⁡(adj⁡A)A^2+\alpha\operatorname{adj}(\operatorname{adj}A) +βadj⁡A⋅adj⁡(adj⁡A)=C+\beta\operatorname{adj}A\cdot\operatorname{adj}(\operatorname{adj}A)=C

where

C=[2−22−20−100−1]C=\begin{bmatrix}2&-2&2\\-2&0&-1\\0&0&-1\end{bmatrix}

for some real α,β\alpha,\beta. Then (α−β)2(\alpha-\beta)^2 is ______.

▸ SHOW SOLUTION

Step 1. Determinant

Expand along row 3:

∣A∣=1⋅∣−1110∣=−1\lvert A\rvert=1\cdot\begin{vmatrix}-1&1\\1&0\end{vmatrix}=-1

Step 2. Simplify both adjoint terms

adj⁡(adj⁡A)=∣A∣A=−A\operatorname{adj}(\operatorname{adj}A)=\lvert A\rvert A=-Aadj⁡A⋅(−A)=−∣A∣I=I\operatorname{adj}A\cdot(-A)=-\lvert A\rvert I=I

So the equation is A2−αA+βI=CA^2-\alpha A+\beta I=C.

Step 3. Compute A squared

A2=[2−11−110001]A^2=\begin{bmatrix}2&-1&1\\-1&1&0\\0&0&1\end{bmatrix}

Step 4. Compare two entries

Entry (1,2)(1,2): −1−α=−2-1-\alpha=-2, so α=1\alpha=1.

Entry (3,3)(3,3): 1−α+β=−11-\alpha+\beta=-1, so β=−1\beta=-1.

(α−β)2=4(\alpha-\beta)^2=4

Answer: 44

Inverse of a matrix

Dividing A(adj⁡A)=∣A∣IA(\operatorname{adj}A)=\lvert A\rvert I by ∣A∣\lvert A\rvert gives the inverse whenever ∣A∣≠0\lvert A\rvert\ne0:

A−1=1∣A∣adj⁡AA^{-1}=\frac{1}{\lvert A\rvert}\operatorname{adj}A

For a 2×22\times2 matrix:

[abcd]−1=1ad−bc[d−b−ca]\begin{bmatrix}a&b\\c&d\end{bmatrix}^{-1}=\frac{1}{ad-bc}\begin{bmatrix}d&-b\\-c&a\end{bmatrix}

A matrix equation is solved by multiplying by the inverse on the correct side:

PA=B  ⟹  P=BA−1PA=B\implies P=BA^{-1} AQ=B  ⟹  Q=A−1BAQ=B\implies Q=A^{-1}B

These are different matrices in general. Their traces, though, are equal, because tr⁡(XY)=tr⁡(YX)\operatorname{tr}(XY)=\operatorname{tr}(YX).

Example 15 (JEE Main 2026, 2 April Shift 2). Consider

A=[2−24−2],B=[3913]A=\begin{bmatrix}2&-2\\4&-2\end{bmatrix},\quad B=\begin{bmatrix}3&9\\1&3\end{bmatrix}

If PA=BPA=B and AQ=BAQ=B, then the absolute value of the sum of the diagonal elements of 2(P+Q)2(P+Q) is ______.

▸ SHOW SOLUTION

Step 1. Inverse of A

∣A∣=−4+8=4\lvert A\rvert=-4+8=4A−1=14[−22−42]A^{-1}=\frac14\begin{bmatrix}-2&2\\-4&2\end{bmatrix}

Step 2. P and Q have the same trace

P=BA−1P=BA^{-1} and Q=A−1BQ=A^{-1}B, so

tr⁡P=tr⁡(BA−1)=tr⁡(A−1B)=tr⁡Q\operatorname{tr}P=\operatorname{tr}(BA^{-1})=\operatorname{tr}(A^{-1}B)=\operatorname{tr}Q

Step 3. Compute one of them

A−1B=14[−4−12−10−30]A^{-1}B=\frac14\begin{bmatrix}-4&-12\\-10&-30\end{bmatrix}tr⁡Q=−4−304=−172\operatorname{tr}Q=\frac{-4-30}{4}=-\frac{17}{2}

Step 4. Trace of 2(P + Q)

2(tr⁡P+tr⁡Q)=2(−17)=−342(\operatorname{tr}P+\operatorname{tr}Q)=2\left(-17\right)=-34

Answer: 3434

Example 16 (JEE Main 2026, 22 January Shift 2). If X=[xyz]TX=\begin{bmatrix}x&y&z\end{bmatrix}^T is a solution of AX=BAX=B, where

adj⁡A=[422−5051−23],B=[402]\operatorname{adj}A=\begin{bmatrix}4&2&2\\-5&0&5\\1&-2&3\end{bmatrix},\quad B=\begin{bmatrix}4\\0\\2\end{bmatrix}

then ∣x+y+z∣\lvert x+y+z\rvert is

Tap an option to check your answer
(1)33
(2)32\dfrac32
(3)11
(4)22
▸ SHOW SOLUTION

Step 1. Get |A| from the adjoint

∣adj⁡A∣=4(10)−2(−20)+2(10)\lvert\operatorname{adj}A\rvert=4(10)-2(-20)+2(10)∣adj⁡A∣=100\lvert\operatorname{adj}A\rvert=100

For order 33, ∣adj⁡A∣=∣A∣2\lvert\operatorname{adj}A\rvert=\lvert A\rvert^2, so ∣A∣=±10\lvert A\rvert=\pm10.

Step 2. Solve

X=A−1B=1∣A∣(adj⁡A)BX=A^{-1}B=\frac{1}{\lvert A\rvert}(\operatorname{adj}A)B(adj⁡A)B=[20−1010](\operatorname{adj}A)B=\begin{bmatrix}20\\-10\\10\end{bmatrix}

Step 3. Add

x+y+z=20−10+10±10=±2x+y+z=\frac{20-10+10}{\pm10}=\pm2

Answer: (4) 22

The sign of ∣A∣\lvert A\rvert is never fixed by the adjoint, which is exactly why the question asks for the absolute value.

Systems of linear equations

Three equations in x,y,zx,y,z with coefficient matrix AA and right side BB are written AX=BAX=B. Let Δ=∣A∣\Delta=\lvert A\rvert, and let Δx\Delta_x, Δy\Delta_y, Δz\Delta_z be Δ\Delta with the xx, yy or zz column replaced by BB.

Cramer's rule. If Δ≠0\Delta\ne0, the system has exactly one solution:

x=ΔxΔ,y=ΔyΔ,z=ΔzΔx=\frac{\Delta_x}{\Delta},\quad y=\frac{\Delta_y}{\Delta},\quad z=\frac{\Delta_z}{\Delta} Three panels in two variables: lines crossing at one point, parallel lines that never meet, and two lines lying on top of each other

The picture shows the same three outcomes for two lines in the plane. In three variables each equation is a plane, and the outcomes are the same: one point, nothing, or a whole line or plane of solutions.

SituationConclusion
Δ≠0\Delta\ne0unique solution
Δ=0\Delta=0 and some Δx,Δy,Δz≠0\Delta_x,\Delta_y,\Delta_z\ne0no solution
Δ=0\Delta=0 and Δx=Δy=Δz=0\Delta_x=\Delta_y=\Delta_z=0infinitely many or none, check further
All four determinants zero does not guarantee infinitely many solutions

The system x+y+z=1x+y+z=1, x+y+z=2x+y+z=2, x+y+z=3x+y+z=3 has Δ=Δx=Δy=Δz=0\Delta=\Delta_x=\Delta_y=\Delta_z=0 and no solution at all. When Δ=0\Delta=0, the safe check is to write the third equation's left side as a combination of the first two, then see whether the right sides follow the same combination.

The homogeneous system AX=OAX=O always has x=y=z=0x=y=z=0. It has a non-trivial solution, and then infinitely many, exactly when Δ=0\Delta=0.

A flowchart: compute Delta; if non-zero, unique solution; if zero, homogeneous systems have infinitely many, otherwise write row 3 as a combination of rows 1 and 2 and compare right sides to decide between infinitely many and none

Example 17 (JEE Main 2026, 21 January Shift 2). If the system 3x+y+4z=33x+y+4z=3, 2x+αy−z=−32x+\alpha y-z=-3, x+2y+z=4x+2y+z=4 has no solution, then α\alpha is

Tap an option to check your answer
(1)1919
(2)44
(3)1313
(4)2323
▸ SHOW SOLUTION

Step 1. Set Δ = 0

Δ=3(α+2)−3+4(4−α)\Delta=3(\alpha+2)-3+4(4-\alpha)Δ=19−α\Delta=19-\alpha

No solution needs Δ=0\Delta=0, so α=19\alpha=19.

Step 2. Confirm it is "no solution"

Δx=∣314−319−1421∣\Delta_x=\begin{vmatrix}3&1&4\\-3&19&-1\\4&2&1\end{vmatrix}Δx=63−1−328=−266≠0\Delta_x=63-1-328=-266\ne0

Answer: (1) 1919

Example 18 (JEE Main 2026, 8 April Shift 2). If the system x+y+z=6x+y+z=6, x+2y+5z=10x+2y+5z=10, 2x+3y+λz=μ2x+3y+\lambda z=\mu has infinitely many solutions, then λ+μ\lambda+\mu equals

Tap an option to check your answer
(1)1212
(2)1616
(3)2222
(4)2828
▸ SHOW SOLUTION

Step 1. Set Δ = 0

Δ=(2λ−15)−(λ−10)+(3−4)\Delta=(2\lambda-15)-(\lambda-10)+(3-4)Δ=λ−6\Delta=\lambda-6

So λ=6\lambda=6.

Step 2. Third row as a combination

The coefficients (2,3,6)(2,3,6) are (1,1,1)+(1,2,5)(1,1,1)+(1,2,5), so the third equation must be the sum of the first two:

μ=6+10=16\mu=6+10=16λ+μ=22\lambda+\mu=22

Answer: (3) 2222

Example 19 (JEE Main 2026, 23 January Shift 2). The system x+y+z=6x+y+z=6, 2x+5y+az=362x+5y+az=36, x+2y+3z=bx+2y+3z=b has

Tap an option to check your answer
(1)unique solution for a=8a=8, b=16b=16
(2)infinitely many solutions for a=8a=8, b=14b=14
(3)infinitely many solutions for a=8a=8, b=16b=16
(4)unique solution for a=8a=8, b=14b=14
▸ SHOW SOLUTION

Step 1. Δ at a = 8

Δ=(15−2a)−(6−a)+(4−5)\Delta=(15-2a)-(6-a)+(4-5)Δ=8−a\Delta=8-a

At a=8a=8, Δ=0\Delta=0, so (1) and (4) are out.

Step 2. Third row as a combination

Find p,qp,q with (1,2,3)=p(1,1,1)+q(2,5,8)(1,2,3)=p(1,1,1)+q(2,5,8):

p+2q=1,p+5q=2p+2q=1,\quad p+5q=2q=13,p=13q=\frac13,\quad p=\frac13

Check the third coordinate: 13+83=3\dfrac13+\dfrac83=3.

Step 3. Right sides

Infinitely many solutions need

b=13⋅6+13⋅36=14b=\frac13\cdot6+\frac13\cdot36=14

At b=16b=16 there is no solution.

Answer: (2)

Example 20 (JEE Main 2026, 6 April Shift 2). The sum of all values of θ∈[0,2π]\theta\in[0,2\pi] for which the system xcos⁡3θ−8y−12z=0x\cos3\theta-8y-12z=0, xcos⁡2θ+3y+3z=0x\cos2\theta+3y+3z=0, x+y+3z=0x+y+3z=0 has a non-trivial solution is

Tap an option to check your answer
(1)π\pi
(2)2π2\pi
(3)3π3\pi
(4)4π4\pi
▸ SHOW SOLUTION

Step 1. Homogeneous, so Δ = 0

Δ=6cos⁡3θ+24cos⁡2θ−24\Delta=6\cos3\theta+24\cos2\theta-24−12cos⁡2θ+36\quad-12\cos2\theta+36Δ=6cos⁡3θ+12cos⁡2θ+12\Delta=6\cos3\theta+12\cos2\theta+12

Step 2. Write in cos θ

Use cos⁡3θ=4c3−3c\cos3\theta=4c^3-3c and cos⁡2θ+1=2c2\cos2\theta+1=2c^2, with c=cos⁡θc=\cos\theta:

Δ=6(4c3+4c2−3c)\Delta=6(4c^3+4c^2-3c)Δ=6c(2c−1)(2c+3)\Delta=6c(2c-1)(2c+3)

Step 3. Solve

c=0c=0 gives π2\dfrac\pi2, 3π2\dfrac{3\pi}{2}. c=12c=\dfrac12 gives π3\dfrac\pi3, 5π3\dfrac{5\pi}{3}. c=−32c=-\dfrac32 is impossible.

π2+3π2+π3+5π3=4π\frac\pi2+\frac{3\pi}2+\frac\pi3+\frac{5\pi}3=4\pi

Answer: (4) 4π4\pi

Example 21 (JEE Main 2026, 5 April Shift 1). The system x+2y+tz=0x+2y+tz=0, 6x+y+5tz=06x+y+5tz=0, 3x+t2y+f(t)z=03x+t^2y+f(t)z=0, where f:R→Rf:\mathbb R\to\mathbb R is differentiable, has infinitely many solutions for every real tt. Then ff

Tap an option to check your answer
(1)is a constant function
(2)is strictly increasing on R\mathbb R
(3)is strictly decreasing on R\mathbb R
(4)has two critical points
▸ SHOW SOLUTION

Step 1. Homogeneous, so Δ = 0 for every t

Δ=(f−5t3)−2(6f−15t)\Delta=(f-5t^3)-2(6f-15t)+t(6t2−3)\quad+t(6t^2-3)Δ=−11f+t3+27t\Delta=-11f+t^3+27t

Step 2. Solve for f

f(t)=t3+27t11f(t)=\frac{t^3+27t}{11}

Step 3. Derivative

f′(t)=3(t2+9)11>0f'(t)=\frac{3(t^2+9)}{11}>0

for every tt.

Answer: (2) strictly increasing

Which result to use

The question gives youReach for
det⁡(A−αI)=0\det(A-\alpha I)=0expand, find one root by trial, factor
a determinant equal to px+qpx+qput x=0x=0 for qq, x=1x=1 for p+qp+q
a sum of determinantssum the one column that changes
entries scaled like 2i+j2^{i+j}take factors out of rows and columns
∣kA∣\lvert kA\rvertkn∣A∣k^n\lvert A\rvert, never k∣A∣k\lvert A\rvert
a high power inside a determinantfactor the power out, use the product rule
nested adj, scalars, productspeel from the inside, one rule per layer
adj⁡A\operatorname{adj}A given, AA not given∣A∣=±∣adj⁡A∣\lvert A\rvert=\pm\sqrt{\lvert\operatorname{adj}A\rvert} for order 3
PA=BPA=B and AQ=BAQ=Binverse on the correct side, traces agree
a system with a parameterΔ=0\Delta=0, then third row as a combination
homogeneous, non-trivial solutionΔ=0\Delta=0, nothing else

Quick recall

ResultStatement
ExpansionΔ=∑jaijCij\Delta=\sum_j a_{ij}C_{ij} along any row
Alien cofactorsrow ii times cofactors of row j≠ij\ne i gives 00
Scalar multiple∣kA∣=kn∣A∣\lvert kA\rvert=k^n\lvert A\rvert
Product∣AB∣=∣A∣∣B∣\lvert AB\rvert=\lvert A\rvert\lvert B\rvert
Area12∣Δ∣\tfrac12\lvert\Delta\rvert with rows (xi,yi,1)(x_i,y_i,1)
CollinearΔ=0\Delta=0
Key identityAadj⁡A=∣A∣IA\operatorname{adj}A=\lvert A\rvert I
Adjoint determinant∣adj⁡A∣=∣A∣n−1\lvert\operatorname{adj}A\rvert=\lvert A\rvert^{n-1}
Double adjointadj⁡adj⁡A=∣A∣n−2A\operatorname{adj}\operatorname{adj}A=\lvert A\rvert^{n-2}A
InverseA−1=adj⁡A/∣A∣A^{-1}=\operatorname{adj}A/\lvert A\rvert
Skew 3×33\times3∣A+I∣=1+a2+b2+c2\lvert A+I\rvert=1+a^2+b^2+c^2
Cramerx=Δx/Δx=\Delta_x/\Delta when Δ≠0\Delta\ne0
Homogeneousnon-trivial solution iff Δ=0\Delta=0
Before you leave this chapter

Take any 3×33\times3 matrix with determinant 22 and, without building a single matrix, write down ∣adj⁡(2adj⁡(3A))∣\lvert\operatorname{adj}(2\operatorname{adj}(3A))\rvert. If you get 210⋅3122^{10}\cdot3^{12}, the adjoint chain is under control.

Practise these methods on real exam questions in the doMath Determinants chapter, and go back to the Matrices note for powers, transpose and the 2×22\times2 identity used in Example 6.

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