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Determinants, Adjoint and Inverse for CUET Maths

About 10 min to learn · 87 questions

Determinants are part of Section A of CUET Maths, the section every candidate answers, whether you take Mathematics or Applied Mathematics. One number tells you whether a matrix has an inverse and whether a set of equations can be solved, and once its few rules are clear the questions on it are quick marks. Learn each rule here, from a 3 × 3 determinant to minors, cofactors, the adjoint, the inverse and the matrix method, with worked examples, time-saving shortcuts and the traps CUET sets, then practise on free questions in CUET's own formats, each fully solved.

Syllabus area
Section A1
On this page · 11 sections
  1. 01What a determinant is
  2. 02Area of a triangle
  3. 03Minors and cofactors
  4. 04The adjoint and the inverse
  5. 05Consistency of a system of equations
  6. 06The matrix method
  7. 07How CUET asks this chapter
  8. 08Exam shortcuts
  9. 09Common mistakes
  10. 10Quick revision
  11. 11Check your understanding

What a determinant is

A fruit seller charges ₹260 for 2 kg of apples and 1 kg of bananas, and ₹230 for 1 kg of apples and 3 kg of bananas. Can the two prices be worked out, and is there only one answer? Before solving anything, one number decides: the determinant of the coefficients. We will come back to the fruit seller at the end of the chapter.

What is the determinant of a matrix?

The determinant is a single number attached to every square matrix, written det A or with vertical bars around the matrix. It decides whether the matrix has an inverse, and unlike a length or an area it can be negative.

For a 1×11 \times 1 matrix the determinant is the element itself, so ∣[−3]∣=−3|[-3]| = -3: here the bars mean the determinant, not the absolute value.

Order 2 and order 3

∣abcd∣=ad−bc\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc
∣a11a12a13a21a22a23a31a32a33∣=a11∣a22a23a32a33∣−a12∣a21a23a31a33∣+a13∣a21a22a31a32∣\begin{vmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{vmatrix} = a_{11}\begin{vmatrix} a_{22} & a_{23} \\ a_{32} & a_{33} \end{vmatrix} - a_{12}\begin{vmatrix} a_{21} & a_{23} \\ a_{31} & a_{33} \end{vmatrix} + a_{13}\begin{vmatrix} a_{21} & a_{22} \\ a_{31} & a_{32} \end{vmatrix}

A 3×33 \times 3 determinant is expanded along a row: each element times the 2×22 \times 2 determinant left when its row and column are deleted, with the signs +,−,++, -, +.

Example 1 · A 3 × 3 determinant

Evaluate ∣31−20254−11∣\begin{vmatrix} 3 & 1 & -2 \\ 0 & 2 & 5 \\ 4 & -1 & 1 \end{vmatrix}.

  1. The three 2×22 \times 2 determinants are 2(1)−5(−1)=72(1) - 5(-1) = 7, 0(1)−5(4)=−200(1) - 5(4) = -20 and 0(−1)−2(4)=−80(-1) - 2(4) = -8.

  2. With the signs +,−,++, -, +: 3(7)−1(−20)+(−2)(−8)=21+20+163(7) - 1(-20) + (-2)(-8) = 21 + 20 + 16.

Answer

The determinant is 57.

Watch out

The middle term is subtracted. Taking all three terms with a plus sign is the slip most wrong options are built on.

Any row or column gives the same value, as long as each element carries its place sign, (−1)i+j(-1)^{i+j}:

+−+−+−+−+\begin{matrix} + & - & + \\ - & + & - \\ + & - & + \end{matrix}

So expand along the row or column with the most zeros. If every element below the leading diagonal is 0, the determinant is just the product of the diagonal elements.

What is the determinant of kA?

For a square matrix of order nn, ∣kA∣=kn∣A∣|kA| = k^n|A|. Multiplying the matrix by kk multiplies each of its nn rows by kk, and a factor kk comes out of the determinant once for every row, so for a 3×33 \times 3 matrix ∣2A∣=8∣A∣|2A| = 8|A|.

Two more facts are used all the time: ∣A′∣=∣A∣|A'| = |A|, because expanding along a row of AA is expanding along a column of A′A'; and a determinant with a row of zeros, or with two equal or proportional rows, is 0.

Example 2 · An unknown in a determinant

Find xx if ∣2x36x∣=∣4325∣\begin{vmatrix} 2x & 3 \\ 6 & x \end{vmatrix} = \begin{vmatrix} 4 & 3 \\ 2 & 5 \end{vmatrix}.

  1. The left side is 2x2−182x^2 - 18 and the right side is 20−6=1420 - 6 = 14.

  2. So 2x2=322x^2 = 32 and x2=16x^2 = 16.

Answer

x=4x = 4 or x=−4x = -4

Area of a triangle

How do you find the area of a triangle using determinants?

Put the three vertices into a determinant with a column of 1s, and take half its absolute value. The absolute value is needed because listing the vertices in another order can flip the sign of the determinant, but never the area.

Area from the vertices

Area=12∣∣x1y11x2y21x3y31∣∣\text{Area} = \frac{1}{2}\left|\begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix}\right|

When one vertex is the origin, this shrinks to 12∣x1y2−x2y1∣\frac{1}{2}\lvert x_1y_2 - x_2y_1 \rvert for the other two.

Three points are collinear exactly when the determinant is 0, because then the "triangle" has no area. That gives the equation of a line too: a point (x,y)(x, y) is on the line through (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2) when ∣xy1x1y11x2y21∣=0\begin{vmatrix} x & y & 1 \\ x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \end{vmatrix} = 0.

Example 3 · A vertex from the area

The triangle with vertices (2,0)(2, 0), (6,0)(6, 0) and (0,k)(0, k) has area 8 square units. Find kk.

  1. ∣2016010k1∣=2(0−k)−0+1(6k−0)=4k\begin{vmatrix} 2 & 0 & 1 \\ 6 & 0 & 1 \\ 0 & k & 1 \end{vmatrix} = 2(0 - k) - 0 + 1(6k - 0) = 4k.

  2. 12∣4k∣=8\frac{1}{2}\lvert 4k \rvert = 8, so 4k=164k = 16 or 4k=−164k = -16.

Answer

k=4k = 4 or k=−4k = -4: one triangle above the xx-axis and one below.

Watch out

When an area is given, the determinant can be plus or minus twice the area. An answer with only one value of kk has lost half the solutions.

Minors and cofactors

What is the difference between a minor and a cofactor?

The minor MijM_{ij} of an element is the determinant left after deleting its row ii and column jj. The cofactor is the minor with the place sign attached, Aij=(−1)i+jMijA_{ij} = (-1)^{i+j}M_{ij}, so the two are equal when i+ji + j is even and opposite when it is odd.

With cofactors, the expansion needs no separate signs: a determinant is the sum of the elements of any one row or column, each times its own cofactor.

Example 4 · Expanding with cofactors

For Δ=∣2−1430152−3∣\Delta = \begin{vmatrix} 2 & -1 & 4 \\ 3 & 0 & 1 \\ 5 & 2 & -3 \end{vmatrix}, find the cofactors of row 2 and use them to evaluate Δ\Delta.

  1. A21=−∣−142−3∣=−(3−8)=5A_{21} = -\begin{vmatrix} -1 & 4 \\ 2 & -3 \end{vmatrix} = -(3 - 8) = 5, A22=+∣245−3∣=−26A_{22} = +\begin{vmatrix} 2 & 4 \\ 5 & -3 \end{vmatrix} = -26 and A23=−∣2−152∣=−9A_{23} = -\begin{vmatrix} 2 & -1 \\ 5 & 2 \end{vmatrix} = -9.

  2. Δ=a21A21+a22A22+a23A23=3(5)+0(−26)+1(−9)\Delta = a_{21}A_{21} + a_{22}A_{22} + a_{23}A_{23} = 3(5) + 0(-26) + 1(-9).

Answer
Δ=6\Delta = 6

Key idea

Elements of one row times the cofactors of a different row always add up to 0. So a11A21+a12A22+a13A23=0a_{11}A_{21} + a_{12}A_{22} + a_{13}A_{23} = 0 for any determinant, and a question that asks for it needs no working.

The adjoint and the inverse

What is the adjoint of a matrix?

The adjoint, adj⁡A\operatorname{adj} A, is the transpose of the matrix of cofactors: the cofactor of aija_{ij} goes to row jj, column ii. For a 2×22 \times 2 matrix this comes to a quick rule: swap the two diagonal elements and change the signs of the other two.

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

The adjoint matters because of one identity, true for every square matrix:

The adjoint identity

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

When does a matrix have an inverse?

A square matrix has an inverse exactly when its determinant is not 0. Such a matrix is called non-singular, and a matrix with ∣A∣=0|A| = 0 is singular. Dividing the adjoint identity by ∣A∣|A| gives the inverse:

The inverse

A−1=1∣A∣adj⁡A,∣A∣≠0A^{-1} = \frac{1}{|A|}\operatorname{adj} A, \qquad |A| \ne 0

Example 5 · A 2 × 2 inverse

Find A−1A^{-1} for A=[3425]A = \begin{bmatrix} 3 & 4 \\ 2 & 5 \end{bmatrix}.

  1. ∣A∣=15−8=7|A| = 15 - 8 = 7, which is not 0, so the inverse exists.

  2. adj⁡A=[5−4−23]\operatorname{adj} A = \begin{bmatrix} 5 & -4 \\ -2 & 3 \end{bmatrix}.

Answer
A−1=17[5−4−23]A^{-1} = \frac{1}{7}\begin{bmatrix} 5 & -4 \\ -2 & 3 \end{bmatrix}

Watch out

The adjoint is the transpose of the cofactor matrix. If a question asks for the element in row 1, column 2 of adj⁡A\operatorname{adj} A, the answer is the cofactor A21A_{21}, not A12A_{12}.

Taking determinants of the adjoint identity and of AA−1=IAA^{-1} = I gives the facts CUET asks most, for a matrix of order nn:

Determinants of related matrices

∣AB∣=∣A∣∣B∣,∣adj⁡A∣=∣A∣n−1,∣A−1∣=1∣A∣|AB| = |A||B|, \qquad |\operatorname{adj} A| = |A|^{n-1}, \qquad |A^{-1}| = \frac{1}{|A|}

Applying the middle one twice, ∣adj⁡(adj⁡A)∣=∣A∣(n−1)2|\operatorname{adj}(\operatorname{adj} A)| = |A|^{(n-1)^2}, which is ∣A∣4|A|^4 for a 3×33 \times 3 matrix. And as with the transpose, the inverse of a product reverses the order: (AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1}.

Consistency of a system of equations

A system of linear equations is consistent if it has at least one solution and inconsistent if it has none. Written as AX=BAX = B, with the coefficients in AA, the unknowns in XX and the right sides in BB, the determinant sorts the cases.

ConditionWhat the system has
∣A∣≠0\lvert A \rvert \ne 0Exactly one solution
∣A∣=0\lvert A \rvert = 0 and (adj⁡A)B≠O(\operatorname{adj} A)B \ne ONo solution: inconsistent
∣A∣=0\lvert A \rvert = 0 and (adj⁡A)B=O(\operatorname{adj} A)B = OInfinitely many or none; for two equations, infinitely many

When does a system of equations have no solution?

It has no solution when the determinant of its coefficients is 0 and the product of the adjoint with the right-hand column is not the zero matrix. In words, the equations contradict each other: for 2x−y=32x - y = 3 and 4x−2y=54x - 2y = 5, the second left side is twice the first, but 5 is not twice 3.

Example 6 · Checking consistency

How many solutions does 2x−y=32x - y = 3, 4x−2y=54x - 2y = 5 have?

  1. ∣A∣=∣2−14−2∣=−4+4=0|A| = \begin{vmatrix} 2 & -1 \\ 4 & -2 \end{vmatrix} = -4 + 4 = 0, so there is no unique solution.

  2. (adj⁡A)B=[−21−42][35]=[−1−2]≠O(\operatorname{adj} A)B = \begin{bmatrix} -2 & 1 \\ -4 & 2 \end{bmatrix}\begin{bmatrix} 3 \\ 5 \end{bmatrix} = \begin{bmatrix} -1 \\ -2 \end{bmatrix} \ne O.

Answer

No solution: the system is inconsistent.

The matrix method

How do you solve equations by the matrix method?

Write the equations as AX=BAX = B, check that ∣A∣≠0|A| \ne 0, and multiply on the left by the inverse: X=A−1BX = A^{-1}B. The order matters, because BA−1BA^{-1} is not even defined when BB is a column.

Back to the fruit seller. With apples at ₹aa a kilogram and bananas at ₹bb, the prices say 2a+b=2602a + b = 260 and a+3b=230a + 3b = 230. The determinant of the coefficients is 2(3)−1(1)=52(3) - 1(1) = 5, not 0, so there is exactly one answer:

[ab]=15[3−1−12][260230]=15[550200]=[11040]\begin{bmatrix} a \\ b \end{bmatrix} = \frac{1}{5}\begin{bmatrix} 3 & -1 \\ -1 & 2 \end{bmatrix}\begin{bmatrix} 260 \\ 230 \end{bmatrix} = \frac{1}{5}\begin{bmatrix} 550 \\ 200 \end{bmatrix} = \begin{bmatrix} 110 \\ 40 \end{bmatrix}

Apples cost ₹110 a kilogram and bananas ₹40.

Example 7 · Three equations

Solve x+2y+z=8x + 2y + z = 8, 2x+y−z=12x + y - z = 1, x−y+2z=5x - y + 2z = 5.

  1. A=[12121−11−12]A = \begin{bmatrix} 1 & 2 & 1 \\ 2 & 1 & -1 \\ 1 & -1 & 2 \end{bmatrix} and ∣A∣=1(2−1)−2(4+1)+1(−2−1)=−12|A| = 1(2 - 1) - 2(4 + 1) + 1(-2 - 1) = -12, so A−1A^{-1} exists.

  2. The cofactors, transposed, give adj⁡A=[1−5−3−513−33−3]\operatorname{adj} A = \begin{bmatrix} 1 & -5 & -3 \\ -5 & 1 & 3 \\ -3 & 3 & -3 \end{bmatrix}.

  3. X=1−12[1−5−3−513−33−3][815]=1−12[−12−24−36]X = \frac{1}{-12}\begin{bmatrix} 1 & -5 & -3 \\ -5 & 1 & 3 \\ -3 & 3 & -3 \end{bmatrix}\begin{bmatrix} 8 \\ 1 \\ 5 \end{bmatrix} = \frac{1}{-12}\begin{bmatrix} -12 \\ -24 \\ -36 \end{bmatrix}.

Answer

x=1x = 1, y=2y = 2 and z=3z = 3. Check the last equation: 1−2+6=51 - 2 + 6 = 5.

Key idea

If a question gives a product such as AB=6IAB = 6I, it has handed you the inverse: A−1=16BA^{-1} = \frac{1}{6}B. Then X=16BCX = \frac{1}{6}BC for the system AX=CAX = C, with no cofactors to find.

How CUET asks this chapter

  • Values: a 2×22 \times 2 or 3×33 \times 3 determinant, often with letters or sin⁡θ\sin\theta and cos⁡θ\cos\theta in it, or the value of xx that makes one 0.
  • Determinant facts: ∣kA∣|kA|, ∣AB∣|AB|, ∣adj⁡A∣|\operatorname{adj} A|, ∣A−1∣|A^{-1}| and ∣adj⁡(adj⁡A)∣|\operatorname{adj}(\operatorname{adj} A)| from a given ∣A∣|A|, often as a match-the-list question.
  • Area and collinearity: an area from vertices, or the value of kk that gives a set area or makes three points collinear.
  • Inverse: a 2×22 \times 2 inverse, one element of an adjoint, or the inverse read off a matrix equation such as A2−3A+I=OA^2 - 3A + I = O.
  • Systems: how many solutions a system has, the kk that leaves no unique solution, or one unknown by the matrix method, sometimes in a word problem.

Exam shortcuts

  • ∣kA∣=kn∣A∣|kA| = k^n|A|, ∣adj⁡A∣=∣A∣n−1|\operatorname{adj} A| = |A|^{n-1}, ∣A−1∣=1∣A∣|A^{-1}| = \frac{1}{|A|}.
  • A triangular determinant is the product of its diagonal.
  • A skew-symmetric matrix of odd order has determinant 0.
  • Elements of one row times the cofactors of another row: always 0.
  • 2×22 \times 2 adjoint: swap the diagonal, change the signs of the other two.
  • If A2=kIA^2 = kI, then A−1=1kAA^{-1} = \frac{1}{k}A.

Common mistakes

  • Giving the middle term of a 3×33 \times 3 expansion a plus sign.
  • Using k∣A∣k|A| for ∣kA∣|kA|.
  • Forgetting the 12\frac{1}{2} in the area formula, or one of the two values of kk.
  • Taking the cofactor matrix as the adjoint without transposing it.
  • Using the adjoint as the inverse when ∣A∣≠1|A| \ne 1.
  • Deciding "no solution" from ∣A∣=0|A| = 0 alone, without checking (adj⁡A)B(\operatorname{adj} A)B.

Quick revision

Values

  • ad−bcad - bc; expand along a row with +,−,++, -, +
  • ∣A′∣=∣A∣|A'| = |A|, ∣kA∣=kn∣A∣|kA| = k^n|A|, ∣AB∣=∣A∣∣B∣|AB| = |A||B|

Area

  • Area =12∣Δ∣= \frac{1}{2}\lvert \Delta \rvert; collinear when Δ=0\Delta = 0
  • A given area gives two values of the unknown

Cofactors, adjoint, inverse

  • Aij=(−1)i+jMijA_{ij} = (-1)^{i+j}M_{ij}
  • adj⁡A\operatorname{adj} A = transpose of the cofactor matrix
  • A−1=1∣A∣adj⁡AA^{-1} = \frac{1}{|A|}\operatorname{adj} A, only if ∣A∣≠0|A| \ne 0

Systems

  • ∣A∣≠0|A| \ne 0: one solution, X=A−1BX = A^{-1}B
  • ∣A∣=0|A| = 0: check (adj⁡A)B(\operatorname{adj} A)B

Calculus starts with how a function changes, and how that change changes: derivatives and second-order derivatives.

Next · 10Quick revision

Check your understanding

87 questions, grouped by type, easy to hard. Pick an answer and check it. The worked solution opens when you ask for it.

The determinant of a matrixQ1 of 87Q1

The determinant of a matrix

23 questions

What is the determinant of the 1 × 1 matrix A=[−7]A = \begin{bmatrix} -7 \end{bmatrix}?

Options for question 1

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AnswerA · −7-7

  1. The determinant of a 1 × 1 matrix is its one element.

  2. So ∣A∣=−7|A| = -7. The bars ∣A∣|A| mean the determinant here, not the absolute value.

Worth noting

7 reads ∣A∣|A| as an absolute value; for a matrix the bars mean its determinant, which can be negative.

What is the value of ∣3524∣\begin{vmatrix}3 & 5 \\ 2 & 4\end{vmatrix}?

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AnswerB · 22

  1. For a 2 × 2 determinant, multiply down the leading diagonal and subtract the product of the other diagonal.

  2. 3(4)−5(2)=12−10=23(4) - 5(2) = 12 - 10 = 2.

Worth noting

22 adds the two products, 12+1012 + 10, instead of subtracting.

What is the value of ∣3sin⁡θ−3cos⁡θcos⁡θsin⁡θ∣\begin{vmatrix} 3\sin\theta & -3\cos\theta \\ \cos\theta & \sin\theta \end{vmatrix}?

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AnswerD · 33

  1. 3sin⁡θ⋅sin⁡θ−(−3cos⁡θ)(cos⁡θ)=3sin⁡2θ+3cos⁡2θ3\sin\theta \cdot \sin\theta - (-3\cos\theta)(\cos\theta) = 3\sin^2\theta + 3\cos^2\theta.

  2. =3(sin⁡2θ+cos⁡2θ)=3= 3(\sin^2\theta + \cos^2\theta) = 3, whatever θ\theta is.

Worth noting

−3cos⁡2θ-3\cos 2\theta is 3sin⁡2θ−3cos⁡2θ3\sin^2\theta - 3\cos^2\theta: the minus sign of −3cos⁡θ-3\cos\theta was lost.

What is ∣x+2x−1x+1x∣\begin{vmatrix} x + 2 & x - 1 \\ x + 1 & x \end{vmatrix}?

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AnswerC · 2x+12 x + 1

  1. (x+2)x−(x−1)(x+1)=x2+2x−(x2−1)(x + 2)x - (x - 1)(x + 1) = x^2 + 2x - (x^2 - 1).

  2. =2x+1= 2x + 1.

Worth noting

2x−12x - 1 subtracts x2−1x^2 - 1 without the brackets, so its −1-1 keeps the wrong sign.

What is ∣25−103400−2∣\begin{vmatrix}2 & 5 & -1 \\ 0 & 3 & 4 \\ 0 & 0 & -2\end{vmatrix}?

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AnswerB · −12-12

  1. Every element below the leading diagonal is 0. Expanding down column 1 leaves 2∣340−2∣2\begin{vmatrix} 3 & 4 \\ 0 & -2 \end{vmatrix}.

  2. =2(−6−0)=−12= 2(-6 - 0) = -12: the product of the diagonal elements 2×3×(−2)2 \times 3 \times (-2).

Worth noting

3 adds the diagonal elements; a triangular determinant is their product.

If ∣x342∣=6\begin{vmatrix} x & 3 \\ 4 & 2 \end{vmatrix} = 6, what is xx?

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AnswerC · 99

  1. The determinant is 2x−122x - 12.

  2. 2x−12=62x - 12 = 6 gives 2x=182x = 18, so x=9x = 9.

Worth noting

−3-3 comes from 2x+12=62x + 12 = 6: the product 12 was added instead of subtracted.

AA is a square matrix of order 3 with ∣A∣=5|A| = 5. What is ∣2A∣|2A|?

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AnswerD · 4040

  1. 2A2A multiplies each of the 3 rows of AA by 22, and each row brings out one factor 22.

  2. ∣2A∣=23∣A∣=8×5=40|2A| = 2^{3}|A| = 8 \times 5 = 40.

Worth noting

1010 takes the factor out once; it comes out once for each row.

AA is a 3 × 3 matrix with ∣A∣=7|A| = 7. BB is obtained from AA by interchanging two rows. What is ∣B∣|B|?

Options for question 8

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AnswerA · −7-7

  1. Interchanging two rows changes the sign of a determinant and nothing else.

  2. So ∣B∣=−7|B| = -7.

Worth noting

7 forgets the change of sign.

AA is a square matrix with ∣A∣=−2|A| = -2. What is ∣A3∣|A^3|?

Options for question 9

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AnswerA · −8-8

  1. ∣A3∣=∣A∣3|A^3| = |A|^3, since the determinant of a product is the product of the determinants.

  2. (−2)3=−8(-2)^3 = -8.

Worth noting

−6-6 multiplies by 3 instead of raising to the power 3.

AA is a 3 × 3 matrix with ∣A∣=5|A| = 5. BB is obtained from AA by R2→R2+3R1R_2 \to R_2 + 3R_1. What is ∣B∣|B|?

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AnswerA · 55

  1. Adding a multiple of one row to another row leaves a determinant unchanged.

  2. So ∣B∣=5|B| = 5.

Worth noting

15 treats the operation as multiplying a row by 3, which would multiply the determinant by 3.

Evaluate ∣2−3140−2153∣\begin{vmatrix}2 & -3 & 1 \\ 4 & 0 & -2 \\ 1 & 5 & 3\end{vmatrix}.

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AnswerC · 8282

  1. Expand along the first row, with the signs +,−,++, -, +.

  2. The minors are ∣0−253∣=10\begin{vmatrix} 0 & -2 \\ 5 & 3 \end{vmatrix} = 10, ∣4−213∣=14\begin{vmatrix} 4 & -2 \\ 1 & 3 \end{vmatrix} = 14 and ∣4015∣=20\begin{vmatrix} 4 & 0 \\ 1 & 5 \end{vmatrix} = 20.

  3. 2(10)−(−3)(14)+1(20)=822(10) - (-3)(14) + 1(20) = 82.

Worth noting

−2-2 is what all-plus signs give: the middle term must be subtracted.

Evaluate ∣20−1304516∣\begin{vmatrix}2 & 0 & -1 \\ 3 & 0 & 4 \\ 5 & 1 & 6\end{vmatrix}.

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AnswerA · −11-11

  1. Column 2 has two zeros, so expand along it: only a32=1a_{32} = 1 contributes.

  2. Its sign is (−1)3+2=−1(-1)^{3 + 2} = -1 and its minor is ∣2−134∣=11\begin{vmatrix} 2 & -1 \\ 3 & 4 \end{vmatrix} = 11.

  3. So the determinant is −1×1×11=−11-1 \times 1 \times 11 = -11.

Worth noting

1111 forgets the place sign (−1)3+2(-1)^{3 + 2} of a32a_{32}.

Find xx if ∣x312x∣=∣53125∣\begin{vmatrix} x & 3 \\ 12 & x \end{vmatrix} = \begin{vmatrix}5 & 3 \\ 12 & 5\end{vmatrix}.

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AnswerB · ±5\pm 5

  1. The left side is x2−36x^2 - 36 and the right side is −11-11.

  2. So x2=25x^2 = 25, x2=25x^2 = 25 and x=±5x = \pm 5.

Worth noting

55 only drops the negative root: (−5)2(-5)^2 is 2525 too.

What is ∣0a−b−a0cb−c0∣\begin{vmatrix}0 & a & - b \\ - a & 0 & c \\ b & - c & 0\end{vmatrix}?

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AnswerA · 00

  1. Expand along row 1: 0−a(0−bc)+(−b)(ac−0)=abc−abc0 - a(0 - bc) + (-b)(ac - 0) = abc - abc.

  2. So the value is 0. This matrix is skew-symmetric of order 3, and every skew-symmetric matrix of odd order has determinant 0.

Worth noting

2abc2abc gives the term −b(ac)-b(ac) a plus sign; the two abcabc terms cancel.

Which of the following statements are true?

I. ∣A′∣=∣A∣|A'| = |A| for every square matrix AA.

II. ∣3A∣=3∣A∣|3A| = 3|A| for every square matrix AA of order 3.

III. A determinant with a row of zeros has the value 0.

IV. Interchanging two rows of a determinant leaves its value unchanged.

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AnswerA · I and III only

  1. Expanding along a row of AA is expanding along a column of A′A', so I is true; expanding along the zero row makes every term 0, so III is true.

  2. ∣3A∣=33∣A∣=27∣A∣|3A| = 3^3|A| = 27|A|, so II is false; swapping two rows changes the sign, so IV is false.

Assertion (A): ∣123246517∣=0\begin{vmatrix} 1 & 2 & 3 \\ 2 & 4 & 6 \\ 5 & 1 & 7 \end{vmatrix} = 0.

Reason (R): A determinant with two proportional rows is 0.

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AnswerA · Both A and R are true, and R is the correct explanation of A.

  1. Row 2 is twice row 1, so two rows are proportional.

  2. R is true and is exactly why the determinant is 0 (expanding gives 1(28−6)−2(14−30)+3(2−20)=22+32−54=01(28 - 6) - 2(14 - 30) + 3(2 - 20) = 22 + 32 - 54 = 0).

For what value of xx is ∣123x10211∣=0\begin{vmatrix}1 & 2 & 3 \\ x & 1 & 0 \\ 2 & 1 & 1\end{vmatrix} = 0?

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AnswerD · 55

  1. Expand along the first row: 1(1−0)−2(x−0)+3(x−2)1(1 - 0) - 2(x - 0) + 3(x - 2).

  2. =1−2x+3x−6=x−5= 1 - 2x + 3x - 6 = x - 5, which is 0 when x=5x = 5.

Worth noting

1 gives the middle term a plus sign: 1+2x+3x−6=5x−51 + 2x + 3x - 6 = 5x - 5.

AA is a square matrix of order 2 with ∣A∣=6|A| = 6. What is ∣−3A∣|-3A|?

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AnswerC · 5454

  1. −3A-3A multiplies each of the 2 rows of AA by −3-3, and each row brings out one factor −3-3.

  2. ∣−3A∣=(−3)2∣A∣=9×6=54|-3A| = (-3)^{2}|A| = 9 \times 6 = 54.

Worth noting

−18-18 takes the factor out once; it comes out once for each row.

What is the value of ∣123456789∣\begin{vmatrix}1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9\end{vmatrix}?

Options for question 19

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AnswerB · 00

  1. Apply R3→R3−R2R_3 \to R_3 - R_2 and R2→R2−R1R_2 \to R_2 - R_1: both rows become (3,3,3)(3, 3, 3).

  2. Two equal rows make the determinant 0.

Worth noting

Expanding with every sign ++ gives a non-zero value; the signs must alternate.

If A=[2134]A = \begin{bmatrix}2 & 1 \\ 3 & 4\end{bmatrix} and B=[1−223]B = \begin{bmatrix}1 & -2 \\ 2 & 3\end{bmatrix}, what is ∣AB∣|AB|?

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AnswerC · 3535

  1. ∣AB∣=∣A∣∣B∣|AB| = |A||B|.

  2. ∣A∣=8−3=5|A| = 8 - 3 = 5 and ∣B∣=3+4=7|B| = 3 + 4 = 7, so ∣AB∣=35|AB| = 35.

Worth noting

12 adds the determinants; the determinant of a product multiplies them.

Evaluate ∣12−1032415∣\begin{vmatrix}1 & 2 & -1 \\ 0 & 3 & 2 \\ 4 & 1 & 5\end{vmatrix}.

Options for question 21

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AnswerC · 4141

  1. Expand along column 1, which has a zero: 1⋅∣3215∣−0+4⋅∣2−132∣1 \cdot \begin{vmatrix} 3 & 2 \\ 1 & 5 \end{vmatrix} - 0 + 4 \cdot \begin{vmatrix} 2 & -1 \\ 3 & 2 \end{vmatrix}.

  2. =1(15−2)+4(4+3)=13+28=41= 1(15 - 2) + 4(4 + 3) = 13 + 28 = 41.

Worth noting

Along column 1 the signs are +,−,++, -, +; the third term keeps its ++.

What is ∣1ab−a1c−b−c1∣\begin{vmatrix}1 & a & b \\ - a & 1 & c \\ - b & - c & 1\end{vmatrix}?

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AnswerB · a2+b2+c2+1a^{2} + b^{2} + c^{2} + 1

  1. Row 1: 1(1+c2)−a(−a+bc)+b(ac+b)1(1 + c^2) - a(-a + bc) + b(ac + b).

  2. =1+c2+a2−abc+abc+b2=1+a2+b2+c2= 1 + c^2 + a^2 - abc + abc + b^2 = 1 + a^2 + b^2 + c^2.

Worth noting

1+a2+b2+c2−2abc1 + a^2 + b^2 + c^2 - 2abc keeps the abcabc terms, but one comes with −a-a and one with +b+b, so they cancel.

Find xx if ∣2x58x∣=∣6−273∣\begin{vmatrix} 2x & 5 \\ 8 & x \end{vmatrix} = \begin{vmatrix}6 & -2 \\ 7 & 3\end{vmatrix}.

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AnswerD · ±6\pm 6

  1. The left side is 2x2−402x^2 - 40 and the right side is 3232.

  2. So 2x2=722x^2 = 72, x2=36x^2 = 36 and x=±6x = \pm 6.

Worth noting

66 only drops the negative root: (−6)2(-6)^2 is 3636 too.

Area of a triangle

12 questions

What is the area of the triangle with vertices (1,2),(4,6),(7,3)(1, 2), (4, 6), (7, 3)?

Options for question 24

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AnswerB · 212\frac{21}{2}

  1. Area =12∣∣121461731∣∣= \frac{1}{2}\left|\begin{vmatrix}1 & 2 & 1 \\ 4 & 6 & 1 \\ 7 & 3 & 1\end{vmatrix}\right|.

  2. The determinant is −21-21, so the area is 12×21=212\frac{1}{2} \times 21 = \frac{21}{2} square units.

Worth noting

2121 is the size of the determinant before the 12\frac{1}{2}.

What is the area of the triangle with vertices (0,0)(0, 0), (6,2)(6, 2) and (2,5)(2, 5)?

Options for question 25

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AnswerB · 1313

  1. With one vertex at the origin, the determinant reduces to x1y2−x2y1x_1y_2 - x_2y_1 for the other two points.

  2. 6(5)−2(2)=266(5) - 2(2) = 26, so the area is 12×26=13\frac{1}{2} \times 26 = 13 square units.

Worth noting

26 forgets the 12\frac{1}{2}.

For what value of kk are the points (1,3)(1, 3), (2,5)(2, 5) and (4,k)(4, k) collinear?

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AnswerD · 99

  1. Three points are collinear when the triangle they make has area 0, so the determinant is 0.

  2. ∣1312514k1∣=k−9=0\begin{vmatrix}1 & 3 & 1 \\ 2 & 5 & 1 \\ 4 & k & 1\end{vmatrix} = k - 9 = 0 gives k=9k = 9.

The triangle with vertices (0,2),(4,2),(0,k)(0, 2), (4, 2), (0, k) has area 6 square units. What are the possible values of kk?

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AnswerA · −1-1 or 55

  1. The determinant is 4k−84 k - 8, and 12∣4k−8∣=6\frac{1}{2}\left|4 k - 8\right| = 6, so 4k−8=±124 k - 8 = \pm 12.

  2. The two signs give k=−1k = -1 and k=5k = 5.

Worth noting

Area is the size of the determinant, so the determinant can be either sign: one value alone misses the other triangle.

Using determinants, what is the equation of the line through (2,3)(2, 3) and (4,7)(4, 7)?

Options for question 28

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AnswerC · y=2x−1y = 2x - 1

  1. A point (x,y)(x, y) is on the line exactly when it is collinear with the two points: ∣xy1231471∣=0\begin{vmatrix} x & y & 1 \\ 2 & 3 & 1 \\ 4 & 7 & 1 \end{vmatrix} = 0.

  2. Expanding: x(3−7)−y(2−4)+(14−12)=−4x+2y+2=0x(3 - 7) - y(2 - 4) + (14 - 12) = -4x + 2y + 2 = 0, that is y=2x−1y = 2x - 1.

Worth noting

y=2x+1y = 2x + 1 has the right slope but misses both points: at x=2x = 2 it gives 5, not 3.

What does it mean when ∣x1y11x2y21x3y31∣=0\begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix} = 0?

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AnswerD · The three points lie on one straight line.

  1. Half the size of this determinant is the area of the triangle with these vertices.

  2. Area 0 means there is no triangle: the points are collinear.

Read the two statements and choose the correct option.

I. The area is half the absolute value of the determinant, because the determinant itself can be negative.

II. Listing the same three vertices in a different order changes the area.

Options for question 30

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AnswerA · Only I

  1. Swapping two vertices swaps two rows of the determinant, which changes only its sign, so the determinant can come out negative: I is true.

  2. The absolute value removes that sign, so the area is the same in any order: II is false.

What is the area of the triangle with vertices (−2,1),(3,4),(5,−1)(-2, 1), (3, 4), (5, -1)?

Options for question 31

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AnswerC · 312\frac{31}{2}

  1. Area =12∣∣−2113415−11∣∣= \frac{1}{2}\left|\begin{vmatrix}-2 & 1 & 1 \\ 3 & 4 & 1 \\ 5 & -1 & 1\end{vmatrix}\right|.

  2. The determinant is −31-31, so the area is 12×31=312\frac{1}{2} \times 31 = \frac{31}{2} square units.

Worth noting

3131 is the size of the determinant before the 12\frac{1}{2}.

Which of these sets of three points is collinear?

Options for question 32

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AnswerB · (1,−1),(2,1),(4,5)(1, -1), (2, 1), (4, 5)

  1. Points are collinear when ∣x1y11x2y21x3y31∣=0\begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix} = 0.

  2. For (1,−1),(2,1),(4,5)(1, -1), (2, 1), (4, 5) the determinant is 1(1−5)−(−1)(2−4)+(10−4)=−4−2+6=01(1 - 5) - (-1)(2 - 4) + (10 - 4) = -4 - 2 + 6 = 0; for each other set it is not 0.

What is the area of the triangle with vertices (−1,−2),(2,3),(4,−1)(-1, -2), (2, 3), (4, -1)?

Options for question 33

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AnswerB · 1111

  1. Area =12∣∣−1−212314−11∣∣= \frac{1}{2}\left|\begin{vmatrix}-1 & -2 & 1 \\ 2 & 3 & 1 \\ 4 & -1 & 1\end{vmatrix}\right|.

  2. The determinant is −22-22, so the area is 1111 square units.

Worth noting

2222 is the size of the determinant before the 12\frac{1}{2}.

For what value of kk are the points (k,2)(k, 2), (3,4)(3, 4) and (5,6)(5, 6) collinear?

Options for question 34

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AnswerB · 11

  1. Collinear points make ∣k21341561∣=0\begin{vmatrix} k & 2 & 1 \\ 3 & 4 & 1 \\ 5 & 6 & 1 \end{vmatrix} = 0.

  2. Expanding: k(4−6)−2(3−5)+(18−20)=−2k+2=0k(4 - 6) - 2(3 - 5) + (18 - 20) = -2k + 2 = 0, so k=1k = 1.

Worth noting

A check: (3,4)(3, 4) and (5,6)(5, 6) lie on y=x+1y = x + 1, and y=2y = 2 there needs x=1x = 1.

The triangle with vertices (k,0),(5,0),(0,3)(k, 0), (5, 0), (0, 3) has area 6 square units. What are the possible values of kk?

Options for question 35

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AnswerD · 11 or 99

  1. The determinant is 15−3k15 - 3 k, and 12∣15−3k∣=6\frac{1}{2}\left|15 - 3 k\right| = 6, so 15−3k=±1215 - 3 k = \pm 12.

  2. The two signs give k=1k = 1 and k=9k = 9.

Worth noting

Area is the size of the determinant, so the determinant can be either sign: one value alone misses the other triangle.

Minors and cofactors

11 questions

For ∣5−237∣\begin{vmatrix} 5 & -2 \\ 3 & 7 \end{vmatrix}, what is the cofactor A12A_{12} of the element −2-2?

Options for question 36

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AnswerA · −3-3

  1. Deleting row 1 and column 2 leaves 3, so the minor is M12=3M_{12} = 3.

  2. A12=(−1)1+2M12=−3A_{12} = (-1)^{1 + 2}M_{12} = -3.

Worth noting

3 is the minor; the cofactor carries the sign (−1)1+2=−1(-1)^{1 + 2} = -1.

For the element a23a_{23} of a 3 × 3 determinant, how are its cofactor A23A_{23} and minor M23M_{23} related?

Options for question 37

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AnswerC · A23=−M23A_{23} = -M_{23}

  1. Aij=(−1)i+jMijA_{ij} = (-1)^{i + j}M_{ij}.

  2. Here i+j=5i + j = 5 is odd, so A23=−M23A_{23} = -M_{23}.

Worth noting

A23=M23A_{23} = M_{23} holds only when i+ji + j is even.

For Δ=∣41−2350−126∣\Delta = \begin{vmatrix}4 & 1 & -2 \\ 3 & 5 & 0 \\ -1 & 2 & 6\end{vmatrix}, what is the minor M22M_{22}?

Options for question 38

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AnswerC · 2222

  1. Delete row 2 and column 2: M22=∣4−2−16∣=22M_{22} = \begin{vmatrix}4 & -2 \\ -1 & 6\end{vmatrix} = 22.

  2. The cofactor is A22=(−1)4M22=22A_{22} = (-1)^{4}M_{22} = 22.

Worth noting

2626 is M22M_{22}: the row and column were swapped.

For Δ=∣2−3154−2163∣\Delta = \begin{vmatrix}2 & -3 & 1 \\ 5 & 4 & -2 \\ 1 & 6 & 3\end{vmatrix}, what is the cofactor A12A_{12}?

Options for question 39

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AnswerB · −17-17

  1. Delete row 1 and column 2: M12=∣5−213∣=17M_{12} = \begin{vmatrix}5 & -2 \\ 1 & 3\end{vmatrix} = 17.

  2. The cofactor is A12=(−1)3M12=−17A_{12} = (-1)^{3}M_{12} = -17.

Worth noting

1717 is the minor; the place (1,2)(1, 2) has the sign −1-1.

For A=[4102−3512−1]A = \begin{bmatrix}4 & 1 & 0 \\ 2 & -3 & 5 \\ 1 & 2 & -1\end{bmatrix}, what is a21A21+a22A22+a23A23a_{21}A_{21} + a_{22}A_{22} + a_{23}A_{23}, where AijA_{ij} is the cofactor of aija_{ij}?

Options for question 40

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AnswerA · −21-21

  1. Elements of a row times their own cofactors add up to the determinant.

  2. The cofactors of row 2 are 11, −4-4 and −7-7, so the sum is 2(1)+(−3)(−4)+5(−7)=−212(1) + (-3)(-4) + 5(-7) = -21.

Worth noting

0 is what elements of one row times the cofactors of a different row give.

Δ=∣a11a12a13a21a22a23a31a32a33∣\Delta = \begin{vmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{vmatrix} and AijA_{ij} is the cofactor of aija_{ij}. Which expression equals Δ\Delta?

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AnswerD · a12A12+a22A22+a32A32a_{12}A_{12} + a_{22}A_{22} + a_{32}A_{32}

  1. A determinant is the sum of the elements of any one row or column, each times its own cofactor.

  2. The first expression does this for column 2. The minors version drops the signs, the swapped indices pair elements with the wrong cofactors, and column 1's elements with column 2's cofactors give 0.

Which of the following statements are true?

I. Every minor of a 3 × 3 determinant is a 2 × 2 determinant.

II. Aij=MijA_{ij} = M_{ij} whenever i+ji + j is even.

III. The elements of any column times their cofactors add up to Δ\Delta.

IV. a11A21+a12A22+a13A23=Δa_{11}A_{21} + a_{12}A_{22} + a_{13}A_{23} = \Delta.

Options for question 42

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AnswerB · I, II and III only

  1. Deleting a row and a column of a 3 × 3 leaves a 2 × 2 (I); (−1)i+j=1(-1)^{i + j} = 1 when i+ji + j is even (II); and any row or column expands to Δ\Delta (III).

  2. IV pairs row 1's elements with row 2's cofactors, which always gives 0, so IV is false.

For Δ=∣x1230124x∣\Delta = \begin{vmatrix}x & 1 & 2 \\ 3 & 0 & 1 \\ 2 & 4 & x\end{vmatrix}, what is the cofactor of the element in row 1, column 2?

Options for question 43

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AnswerD · 2−3x2 - 3 x

  1. Delete row 1 and column 2: M12=∣312x∣=3x−2M_{12} = \begin{vmatrix} 3 & 1 \\ 2 & x \end{vmatrix} = 3x - 2.

  2. A12=(−1)1+2(3x−2)=2−3xA_{12} = (-1)^{1 + 2}(3x - 2) = 2 - 3x.

Worth noting

3x−23x - 2 is the minor M12M_{12}, without the sign −1-1 of the place.

For Δ=∣13−24052−16∣\Delta = \begin{vmatrix}1 & 3 & -2 \\ 4 & 0 & 5 \\ 2 & -1 & 6\end{vmatrix}, what is the cofactor A32A_{32}?

Options for question 44

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AnswerA · −13-13

  1. Delete row 3 and column 2: the minor is ∣1−245∣=5+8=13\begin{vmatrix} 1 & -2 \\ 4 & 5 \end{vmatrix} = 5 + 8 = 13.

  2. A32=(−1)3+2×13=−13A_{32} = (-1)^{3 + 2} \times 13 = -13.

Worth noting

13 is the minor; the cofactor carries the sign (−1)i+j(-1)^{i + j}.

For A=[2−1304152−2]A = \begin{bmatrix}2 & -1 & 3 \\ 0 & 4 & 1 \\ 5 & 2 & -2\end{bmatrix}, with AijA_{ij} the cofactor of aija_{ij}, what is a11A21+a12A22+a13A23a_{11}A_{21} + a_{12}A_{22} + a_{13}A_{23}?

Options for question 45

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AnswerB · 00

  1. These are the elements of row 1 times the cofactors of row 2.

  2. Elements of one row times the cofactors of a different row always add up to 0; only matching rows give ∣A∣|A|.

Worth noting

−85-85 is ∣A∣|A|, which needs the cofactors of the same row.

In a 3 × 3 determinant, the elements of row 1 are 2, −1-1 and 3, and their cofactors are 4, 5 and −2-2. What is the value of the determinant?

Options for question 46

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AnswerC · −3-3

  1. Δ=a11A11+a12A12+a13A13\Delta = a_{11}A_{11} + a_{12}A_{12} + a_{13}A_{13}, and the cofactors already carry their signs.

  2. 2(4)+(−1)(5)+3(−2)=8−5−6=−32(4) + (-1)(5) + 3(-2) = 8 - 5 - 6 = -3.

Worth noting

7 puts the signs +,−,++, -, + in again, 8+5−68 + 5 - 6; that is for minors, not cofactors.

The adjoint and the inverse

22 questions

What is adj⁡A\operatorname{adj} A for A=[4312]A = \begin{bmatrix}4 & 3 \\ 1 & 2\end{bmatrix}?

Options for question 47

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AnswerD · [2−3−14]\begin{bmatrix}2 & -3 \\ -1 & 4\end{bmatrix}

  1. For a 2 × 2 matrix, swap the two diagonal elements and change the signs of the other two.

  2. adj⁡A=[2−3−14]\operatorname{adj} A = \begin{bmatrix}2 & -3 \\ -1 & 4\end{bmatrix}. Check: A(adj⁡A)=[5005]=∣A∣IA(\operatorname{adj} A) = \begin{bmatrix}5 & 0 \\ 0 & 5\end{bmatrix} = |A|I.

Worth noting

[2−1−34]\begin{bmatrix}2 & -1 \\ -3 & 4\end{bmatrix} is the matrix of cofactors itself; the adjoint is its transpose.

What is A−1A^{-1} for A=[3243]A = \begin{bmatrix}3 & 2 \\ 4 & 3\end{bmatrix}?

Options for question 48

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AnswerD · [3−2−43]\begin{bmatrix}3 & -2 \\ -4 & 3\end{bmatrix}

  1. ∣A∣=9−8=1|A| = 9 - 8 = 1, which is not 0, so the inverse exists.

  2. A−1=1∣A∣adj⁡A=[3−2−43]A^{-1} = \frac{1}{|A|}\operatorname{adj} A = \begin{bmatrix}3 & -2 \\ -4 & 3\end{bmatrix}.

Worth noting

[3−4−23]\begin{bmatrix}3 & -4 \\ -2 & 3\end{bmatrix} is the cofactor matrix, not yet transposed into the adjoint.

For A=[1203−14205]A = \begin{bmatrix}1 & 2 & 0 \\ 3 & -1 & 4 \\ 2 & 0 & 5\end{bmatrix}, what is the element in row 1, column 2 of adj⁡A\operatorname{adj} A?

Options for question 49

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AnswerA · −10-10

  1. adj⁡A\operatorname{adj} A is the transpose of the matrix of cofactors, so its (1,2)(1, 2) element is the cofactor A21A_{21}.

  2. A21=(−1)2+1∣2005∣=−10A_{21} = (-1)^{2 + 1}\begin{vmatrix} 2 & 0 \\ 0 & 5 \end{vmatrix} = -10.

Worth noting

−7-7 is the cofactor A12A_{12}: the transpose was forgotten.

What is adj⁡A\operatorname{adj} A for A=[200030004]A = \begin{bmatrix}2 & 0 & 0 \\ 0 & 3 & 0 \\ 0 & 0 & 4\end{bmatrix}?

Options for question 50

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AnswerC · [1200080006]\begin{bmatrix}12 & 0 & 0 \\ 0 & 8 & 0 \\ 0 & 0 & 6\end{bmatrix}

  1. For a diagonal matrix the off-diagonal cofactors are all 0, and the cofactor of each diagonal element is the product of the other two.

  2. So the diagonal of adj⁡A\operatorname{adj} A is 3×4=123 \times 4 = 12, 2×4=82 \times 4 = 8 and 2×3=62 \times 3 = 6.

Worth noting

The matrix with 12\frac{1}{2}, 13\frac{1}{3}, 14\frac{1}{4} is A−1A^{-1}, which is adj⁡A\operatorname{adj} A divided by ∣A∣=24|A| = 24.

AA is a square matrix of order 3 with ∣A∣=6|A| = 6. Which matrix is A(adj⁡A)A(\operatorname{adj} A)?

Options for question 51

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AnswerB · 6I6I

  1. For every square matrix, A(adj⁡A)=(adj⁡A)A=∣A∣IA(\operatorname{adj} A) = (\operatorname{adj} A)A = |A|I.

  2. Here that is 6I6I.

Worth noting

36I36I mixes in ∣adj⁡A∣=∣A∣2=36|\operatorname{adj} A| = |A|^2 = 36, which is a number about the adjoint, not this product.

AA is a square matrix of order 3 with A(adj⁡A)=5IA(\operatorname{adj} A) = 5I. What is ∣adj⁡A∣|\operatorname{adj} A|?

Options for question 52

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AnswerC · 2525

  1. A(adj⁡A)=∣A∣IA(\operatorname{adj} A) = |A|I, so ∣A∣=5|A| = 5.

  2. ∣adj⁡A∣=∣A∣n−1=52=25|\operatorname{adj} A| = |A|^{n - 1} = 5^2 = 25.

Worth noting

125 is ∣5I∣=53|5I| = 5^3, the determinant of the product, not of the adjoint.

For what value of kk is [k4−28]\begin{bmatrix} k & 4 \\ -2 & 8 \end{bmatrix} a singular matrix?

Options for question 53

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AnswerA · −1-1

  1. A matrix is singular when its determinant is 0, and then it has no inverse.

  2. 8k−(4)(−2)=8k+8=08k - (4)(-2) = 8k + 8 = 0 gives k=−1k = -1.

Worth noting

1 comes from 8k−8=08k - 8 = 0: the product (4)(−2)(4)(-2) was taken as +8+8.

AA is a square matrix of order 3 with ∣A∣=4|A| = 4. What is ∣adj⁡A∣|\operatorname{adj} A|?

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AnswerC · 1616

  1. A(adj⁡A)=∣A∣IA(\operatorname{adj} A) = |A|I; taking determinants, ∣A∣∣adj⁡A∣=∣A∣3|A||\operatorname{adj} A| = |A|^3.

  2. So ∣adj⁡A∣=∣A∣3−1=42=16|\operatorname{adj} A| = |A|^{3 - 1} = 4^2 = 16.

Worth noting

64 is ∣A∣3|A|^3, the determinant of ∣A∣I|A|I, before dividing by ∣A∣|A|.

Read the two statements and choose the correct option.

I. (AB)−1=B−1A−1(AB)^{-1} = B^{-1}A^{-1} for invertible matrices AA and BB of the same order.

II. (A′)−1=(A−1)′(A')^{-1} = (A^{-1})' for an invertible matrix AA.

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AnswerC · Both I and II

  1. (AB)(B−1A−1)=A(BB−1)A−1=AA−1=I(AB)(B^{-1}A^{-1}) = A(BB^{-1})A^{-1} = AA^{-1} = I, so I is true.

  2. Transposing AA−1=IAA^{-1} = I gives (A−1)′A′=I(A^{-1})'A' = I, so II is true as well.

AA is invertible and A−1=[2132]A^{-1} = \begin{bmatrix}2 & 1 \\ 3 & 2\end{bmatrix}. What is AA?

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AnswerB · [2−1−32]\begin{bmatrix}2 & -1 \\ -3 & 2\end{bmatrix}

  1. AA is the inverse of A−1A^{-1}: (A−1)−1=A(A^{-1})^{-1} = A.

  2. ∣A−1∣=4−3=1|A^{-1}| = 4 - 3 = 1, so A=adj⁡(A−1)=[2−1−32]A = \operatorname{adj}(A^{-1}) = \begin{bmatrix}2 & -1 \\ -3 & 2\end{bmatrix}.

Worth noting

[2−3−12]\begin{bmatrix}2 & -3 \\ -1 & 2\end{bmatrix} is the transpose of the answer; check that its product with A−1A^{-1} is not II.

Which of the following statements are true?

I. A square matrix is invertible exactly when its determinant is not 0.

II. If AA is singular, then A(adj⁡A)=OA(\operatorname{adj} A) = O.

III. A−1=1∣A∣adj⁡AA^{-1} = \frac{1}{|A|}\operatorname{adj} A for every square matrix AA.

IV. ∣A−1∣=∣A∣|A^{-1}| = |A| for every invertible matrix AA.

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AnswerD · I and II only

  1. I is the test for an inverse. II: A(adj⁡A)=∣A∣IA(\operatorname{adj} A) = |A|I, and ∣A∣=0|A| = 0 makes it OO.

  2. III fails when ∣A∣=0|A| = 0, where there is no inverse to find; IV is false because ∣A−1∣=1∣A∣|A^{-1}| = \frac{1}{|A|}.

What is A−1A^{-1} for A=[2314]A = \begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}?

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AnswerB · [45−35−1525]\begin{bmatrix}\frac{4}{5} & - \frac{3}{5} \\ - \frac{1}{5} & \frac{2}{5}\end{bmatrix}

  1. ∣A∣=8−3=5|A| = 8 - 3 = 5, which is not 0, so the inverse exists.

  2. adj⁡A=[4−3−12]\operatorname{adj} A = \begin{bmatrix}4 & -3 \\ -1 & 2\end{bmatrix}, and A−1=15adj⁡A=[45−35−1525]A^{-1} = \frac{1}{5}\operatorname{adj} A = \begin{bmatrix}\frac{4}{5} & - \frac{3}{5} \\ - \frac{1}{5} & \frac{2}{5}\end{bmatrix}.

Worth noting

The adjoint alone is the inverse only when ∣A∣=1|A| = 1; here it must be divided by 5.

Assertion (A): A 3 × 3 matrix with a row of zeros has no inverse.

Reason (R): The determinant of such a matrix is 0.

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AnswerA · Both A and R are true, and R is the correct explanation of A.

  1. Expanding along the zero row, every term is 0, so the determinant is 0: R is true.

  2. A matrix with determinant 0 is singular and has no inverse, so A is true, and R is the reason.

AA is an invertible matrix with ∣A∣=−4|A| = -4. What is ∣A−1∣|A^{-1}|?

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AnswerA · −14- \frac{1}{4}

  1. AA−1=IAA^{-1} = I, so ∣A∣∣A−1∣=∣I∣=1|A||A^{-1}| = |I| = 1.

  2. ∣A−1∣=1∣A∣=−14|A^{-1}| = \frac{1}{|A|} = -\frac{1}{4}.

Worth noting

14\frac{1}{4} drops the sign: the reciprocal of a negative number is negative.

AA is a square matrix of order 3 with ∣A∣=4|A| = 4. Match each determinant in List I with its value in List II.

List IList II
A. ∣adj⁡A∣|\operatorname{adj} A|I. 3232
B. ∣A−1∣|A^{-1}|II. 1616
C. ∣2A∣|2A|III. 44
D. ∣A′∣|A'|IV. 14\frac{1}{4}
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AnswerB · A-II, B-IV, C-I, D-III

  1. ∣adj⁡A∣=∣A∣2=16|\operatorname{adj} A| = |A|^2 = 16 and ∣A−1∣=1∣A∣=14|A^{-1}| = \frac{1}{|A|} = \frac{1}{4}.

  2. ∣2A∣=23∣A∣=32|2A| = 2^3|A| = 32, and a transpose keeps the determinant: ∣A′∣=4|A'| = 4.

AA is a square matrix of order 2 with ∣A∣=6|A| = 6. What is ∣adj⁡A∣|\operatorname{adj} A|?

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AnswerC · 66

  1. For order nn, ∣adj⁡A∣=∣A∣n−1|\operatorname{adj} A| = |A|^{n - 1}.

  2. With n=2n = 2: 61=66^{1} = 6.

Worth noting

36 is ∣A∣2|A|^{2}, the rule for order 3.

What is A−1A^{-1} for A=[100210341]A = \begin{bmatrix}1 & 0 & 0 \\ 2 & 1 & 0 \\ 3 & 4 & 1\end{bmatrix}?

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AnswerD · [100−2105−41]\begin{bmatrix}1 & 0 & 0 \\ -2 & 1 & 0 \\ 5 & -4 & 1\end{bmatrix}

  1. ∣A∣=1|A| = 1 (a triangular matrix: the product of the diagonal), so A−1=adj⁡AA^{-1} = \operatorname{adj} A.

  2. The cofactors of row 3 are A31=0A_{31} = 0, A32=0A_{32} = 0, A33=1A_{33} = 1; of row 2, A21=0A_{21} = 0, A22=1A_{22} = 1, A23=−4A_{23} = -4; of row 1, A11=1A_{11} = 1, A12=−2A_{12} = -2, A13=5A_{13} = 5.

  3. Transposing the cofactor matrix gives A−1=[100−2105−41]A^{-1} = \begin{bmatrix}1 & 0 & 0 \\ -2 & 1 & 0 \\ 5 & -4 & 1\end{bmatrix}.

Worth noting

Changing the signs below the diagonal undoes each step separately, but the corner element is 5, not −3-3: check the product with AA.

AA and BB are square matrices of order 3 with ∣A∣=2|A| = 2 and ∣B∣=−3|B| = -3. What is ∣2AB∣|2AB|?

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AnswerA · −48-48

  1. ∣AB∣=∣A∣∣B∣=−6|AB| = |A||B| = -6.

  2. 2AB2AB is a 3 × 3 matrix times 2, so ∣2AB∣=23∣AB∣=8(−6)=−48|2AB| = 2^3|AB| = 8(-6) = -48.

Worth noting

−12-12 takes the 2 out once; it comes out once for each of the three rows.

AA is a square matrix of order 3 with ∣A∣=3|A| = 3. What is ∣adj⁡(adj⁡A)∣|\operatorname{adj}(\operatorname{adj} A)|?

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AnswerC · 8181

  1. For order 3, ∣adj⁡B∣=∣B∣2|\operatorname{adj} B| = |B|^2 for any square matrix BB. First ∣adj⁡A∣=32=9|\operatorname{adj} A| = 3^2 = 9.

  2. Apply it again with B=adj⁡AB = \operatorname{adj} A: ∣adj⁡(adj⁡A)∣=92=81|\operatorname{adj}(\operatorname{adj} A)| = 9^2 = 81.

Worth noting

9 stops after one step: that is ∣adj⁡A∣|\operatorname{adj} A|.

A=[2111]A = \begin{bmatrix}2 & 1 \\ 1 & 1\end{bmatrix} satisfies A2−3A+I=OA^2 - 3A + I = O. Which expression equals A−1A^{-1}?

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AnswerB · 3I−A3I - A

  1. Multiply A2−3A+I=OA^2 - 3A + I = O by A−1A^{-1}: A−3I+A−1=OA - 3I + A^{-1} = O.

  2. So A−1=3I−AA^{-1} = 3I - A.

Worth noting

A−3IA - 3I has the sign the wrong way round: it is −A−1-A^{-1}.

For A=[235−2]A = \begin{bmatrix}2 & 3 \\ 5 & -2\end{bmatrix}, A−1=kAA^{-1} = kA. What is kk?

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AnswerD · 119\frac{1}{19}

  1. ∣A∣=−4−15=−19|A| = -4 - 15 = -19 and adj⁡A=[−2−3−52]=−A\operatorname{adj} A = \begin{bmatrix} -2 & -3 \\ -5 & 2 \end{bmatrix} = -A.

  2. A−1=1−19(−A)=119AA^{-1} = \frac{1}{-19}(-A) = \frac{1}{19}A, so k=119k = \frac{1}{19}. (Indeed A2=19IA^2 = 19I.)

Worth noting

−119-\frac{1}{19} divides by ∣A∣|A| but forgets that the adjoint is −A-A, not AA.

AA is a square matrix of order 3 with ∣A∣=2|A| = 2. What is ∣3A−1∣|3A^{-1}|?

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AnswerD · 272\frac{27}{2}

  1. ∣kB∣=kn∣B∣|kB| = k^{n}|B| for order nn, and ∣A−1∣=1∣A∣|A^{-1}| = \frac{1}{|A|}.

  2. ∣3A−1∣=33×12=272|3A^{-1}| = 3^{3} \times \frac{1}{2} = \frac{27}{2}.

Worth noting

32\frac{3}{2} multiplies by 3 once; a scalar comes out of each of the 3 rows.

Consistency of a system of equations

10 questions

When is a system of linear equations called consistent?

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AnswerD · When it has at least one solution

  1. A consistent system has one or more solutions; an inconsistent system has none.

  2. So a system with infinitely many solutions is consistent too.

Worth noting

Exactly one solution is one kind of consistent system, not the only kind.

How many solutions does the system 3x+y=43x + y = 4, x+2y=3x + 2y = 3 have?

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AnswerA · Exactly one solution

  1. ∣A∣=5|A| = 5. It is not 0, so A−1A^{-1} exists and the solution is unique.

  2. (adj⁡A)B=[55](\operatorname{adj} A)B = \begin{bmatrix}5 \\ 5\end{bmatrix}.

How many solutions does the system 2x+3y=52x + 3y = 5, 4x+6y=104x + 6y = 10 have?

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AnswerC · Infinitely many solutions

  1. ∣A∣=0|A| = 0. It is 0, so look at (adj⁡A)B(\operatorname{adj} A)B.

  2. (adj⁡A)B=[00](\operatorname{adj} A)B = \begin{bmatrix}0 \\ 0\end{bmatrix}. It is zero, so the equations say the same thing: infinitely many solutions.

Worth noting

A determinant of 0 alone does not tell no solution from infinitely many; (adj⁡A)B(\operatorname{adj} A)B does.

Which of these systems has no solution?

Options for question 72

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AnswerB · x−2y=4x - 2y = 4, 3x−6y=73x - 6y = 7

  1. Only a system with ∣A∣=0|A| = 0 can fail to have a unique solution; that rules out the last two, whose determinants are 55 and −2-2.

  2. 4x+6y=104x + 6y = 10 is twice 2x+3y=52x + 3y = 5: infinitely many solutions. But three times x−2y=4x - 2y = 4 is 3x−6y=123x - 6y = 12, not 7, so that system contradicts itself.

Worth noting

2x+3y=52x + 3y = 5, 4x+6y=104x + 6y = 10 also has ∣A∣=0|A| = 0, but its equations agree, so it has infinitely many solutions.

For what value of kk does the system 2x+3y=62x + 3y = 6, kx+6y=7kx + 6y = 7 have no unique solution?

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AnswerD · 44

  1. A unique solution needs ∣A∣≠0|A| \ne 0, so there is none when ∣A∣=0|A| = 0: 2(6)−3k=02(6) - 3k = 0.

  2. So k=4k = 4.

Worth noting

−4-4 solves 12+3k=012 + 3k = 0: the product of the other diagonal is subtracted, not added.

Assertion (A): The system x+2y=3x + 2y = 3, 2x+4y=62x + 4y = 6 has infinitely many solutions.

Reason (R): Whenever ∣A∣=0|A| = 0, the system AX=BAX = B has infinitely many solutions.

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AnswerC · A is true, but R is false.

  1. The second equation is exactly twice the first, so every solution of one solves the other: A is true.

  2. R is false: x+2y=3x + 2y = 3, 2x+4y=72x + 4y = 7 also has ∣A∣=0|A| = 0 but no solution at all.

Read the two statements and choose the correct option.

I. If ∣A∣≠0|A| \ne 0, the system AX=BAX = B has a unique solution.

II. If ∣A∣=0|A| = 0 and (adj⁡A)B=O(\operatorname{adj} A)B = O, the system AX=BAX = B has no solution.

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AnswerA · Only I

  1. With ∣A∣≠0|A| \ne 0, A−1A^{-1} exists and X=A−1BX = A^{-1}B is the one solution, so I is true.

  2. With ∣A∣=0|A| = 0 and (adj⁡A)B=O(\operatorname{adj} A)B = O, the system may have infinitely many solutions (as 2x+3y=52x + 3y = 5, 4x+6y=104x + 6y = 10 does), so II is false.

For which values of kk and mm does the system 2x+3y=52x + 3y = 5, 4x+ky=m4x + ky = m have infinitely many solutions?

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AnswerA · k=6k = 6 and m=10m = 10

  1. Infinitely many solutions need ∣A∣=0|A| = 0: 2k−12=02k - 12 = 0, so k=6k = 6.

  2. Then the second equation must be twice the first, 4x+6y=104x + 6y = 10, so m=10m = 10. Any other mm makes the equations contradict: no solution.

Worth noting

k=6k = 6 with m≠10m \ne 10 gives parallel lines that never meet, which is no solution.

How many solutions does the system x+y+z=2x + y + z = 2, 2x+2y+2z=52x + 2y + 2z = 5, x−y+z=1x - y + z = 1 have?

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AnswerC · No solution

  1. The first two rows of coefficients are proportional, so ∣A∣=0|A| = 0 and there is no unique solution.

  2. (adj⁡A)B=[−202]≠O(\operatorname{adj} A)B = \begin{bmatrix}-2 \\ 0 \\ 2\end{bmatrix} \ne O, so the system is inconsistent. Directly: the second equation says x+y+z=52x + y + z = \frac{5}{2}, the first says 2.

Worth noting

Infinitely many would need the second equation to be exactly twice the first, with right side 4.

For which value of kk does the system x+y+z=1x + y + z = 1, x+2y+3z=2x + 2y + 3z = 2, x+3y+kz=3x + 3y + kz = 3 have infinitely many solutions?

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AnswerD · 55

  1. A unique solution fails when ∣A∣=0|A| = 0: ∣A∣=1(2k−9)−1(k−3)+1(3−2)=k−5|A| = 1(2k - 9) - 1(k - 3) + 1(3 - 2) = k - 5, so k=5k = 5.

  2. With k=5k = 5, the third equation is twice the second minus the first, and so is its right side (2×2−1=32 \times 2 - 1 = 3): the system is consistent, with infinitely many solutions.

Worth noting

For any other kk, ∣A∣≠0|A| \ne 0 and the solution is unique.

Solving equations by the matrix method

9 questions

The system 3x−2y=73x - 2y = 7, x+4y=5x + 4y = 5 is written as AX=BAX = B with X=[xy]X = \begin{bmatrix} x \\ y \end{bmatrix}. What is AA?

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AnswerB · [3−214]\begin{bmatrix}3 & -2 \\ 1 & 4\end{bmatrix}

  1. AA holds the coefficients, one row per equation: row 1 is 3,−23, -2 and row 2 is 1,41, 4.

  2. B=[75]B = \begin{bmatrix} 7 \\ 5 \end{bmatrix} holds the right sides.

Worth noting

The transpose puts each variable's coefficients in a row; but AXAX multiplies a row of AA by the column XX, so each row must be one equation.

AA is invertible and AX=BAX = B. Which of these gives XX?

Options for question 80

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AnswerD · X=A−1BX = A^{-1}B

  1. Multiply AX=BAX = B on the left by A−1A^{-1}: A−1AX=A−1BA^{-1}AX = A^{-1}B.

  2. A−1A=IA^{-1}A = I and IX=XIX = X, so X=A−1BX = A^{-1}B.

Worth noting

BA−1BA^{-1} multiplies on the wrong side; for a column BB it is not even defined.

Solve by the matrix method: 2x+y=52x + y = 5 and 3x+2y=73x + 2y = 7. What is xx?

Options for question 81

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AnswerB · 33

  1. Write it as AX=BAX = B with A=[2132]A = \begin{bmatrix}2 & 1 \\ 3 & 2\end{bmatrix} and B=[57]B = \begin{bmatrix}5 \\ 7\end{bmatrix}; ∣A∣=1|A| = 1, so X=A−1BX = A^{-1}B.

  2. A−1=11[2−1−32]A^{-1} = \frac{1}{1}\begin{bmatrix}2 & -1 \\ -3 & 2\end{bmatrix}, and A−1B=[3−1]A^{-1}B = \begin{bmatrix}3 \\ -1\end{bmatrix}.

  3. So x=3x = 3 and y=−1y = -1.

Worth noting

−1-1 is the value of the other unknown.

For A=[21−12]A = \begin{bmatrix} 2 & 1 \\ -1 & 2 \end{bmatrix}, A−1=15[2−112]A^{-1} = \frac{1}{5}\begin{bmatrix} 2 & -1 \\ 1 & 2 \end{bmatrix}. Use it to solve 2x+y=52x + y = 5, −x+2y=5-x + 2y = 5. What is yy?

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AnswerB · 33

  1. X=A−1B=15[2−112][55]=15[515]X = A^{-1}B = \frac{1}{5}\begin{bmatrix} 2 & -1 \\ 1 & 2 \end{bmatrix}\begin{bmatrix} 5 \\ 5 \end{bmatrix} = \frac{1}{5}\begin{bmatrix} 5 \\ 15 \end{bmatrix}.

  2. So x=1x = 1 and y=3y = 3.

Worth noting

15 forgets the 15\frac{1}{5} in front of the inverse.

3 notebooks and 2 pens cost ₹110, and 2 notebooks and 5 pens also cost ₹110. Using the matrix method, what is the price of one notebook?

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AnswerD · 3030

  1. With notebook ₹nn and pen ₹pp: 3n+2p=1103n + 2p = 110 and 2n+5p=1102n + 5p = 110, so A=[3225]A = \begin{bmatrix} 3 & 2 \\ 2 & 5 \end{bmatrix} and ∣A∣=11|A| = 11.

  2. [np]=111[5−2−23][110110]=[3010]\begin{bmatrix} n \\ p \end{bmatrix} = \frac{1}{11}\begin{bmatrix} 5 & -2 \\ -2 & 3 \end{bmatrix}\begin{bmatrix} 110 \\ 110 \end{bmatrix} = \begin{bmatrix} 30 \\ 10 \end{bmatrix}.

  3. A notebook costs ₹30 and a pen ₹10.

Worth noting

₹10 is the price of a pen, the other unknown.

Solve by the matrix method: 4x−3y=−44x - 3y = -4 and 2x+5y=112x + 5y = 11. What is yy?

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AnswerD · 22

  1. Write it as AX=BAX = B with A=[4−325]A = \begin{bmatrix}4 & -3 \\ 2 & 5\end{bmatrix} and B=[−411]B = \begin{bmatrix}-4 \\ 11\end{bmatrix}; ∣A∣=26|A| = 26, so X=A−1BX = A^{-1}B.

  2. A−1=126[53−24]A^{-1} = \frac{1}{26}\begin{bmatrix}5 & 3 \\ -2 & 4\end{bmatrix}, and A−1B=[122]A^{-1}B = \begin{bmatrix}\frac{1}{2} \\ 2\end{bmatrix}.

  3. So x=12x = \frac{1}{2} and y=2y = 2.

Worth noting

12\frac{1}{2} is the value of the other unknown.

Solve by the matrix method: x+y+z=6x + y + z = 6, 2x−y+z=62x - y + z = 6, x+2y−z=1x + 2y - z = 1. What is zz?

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AnswerC · 33

  1. A=[1112−1112−1]A = \begin{bmatrix}1 & 1 & 1 \\ 2 & -1 & 1 \\ 1 & 2 & -1\end{bmatrix} and ∣A∣=7|A| = 7, so A−1A^{-1} exists.

  2. adj⁡A=[−1323−215−1−3]\operatorname{adj} A = \begin{bmatrix}-1 & 3 & 2 \\ 3 & -2 & 1 \\ 5 & -1 & -3\end{bmatrix}, so X=17(adj⁡A)B=[213]X = \frac{1}{7}(\operatorname{adj} A)B = \begin{bmatrix}2 \\ 1 \\ 3\end{bmatrix}.

  3. So x=2x = 2, y=1y = 1 and z=3z = 3. Check the third equation: 2+2−3=12 + 2 - 3 = 1.

Worth noting

2 is xx; read the third row of XX for zz.

A=[1−10234012]A = \begin{bmatrix}1 & -1 & 0 \\ 2 & 3 & 4 \\ 0 & 1 & 2\end{bmatrix} and B=[22−4−42−42−15]B = \begin{bmatrix}2 & 2 & -4 \\ -4 & 2 & -4 \\ 2 & -1 & 5\end{bmatrix} satisfy AB=6IAB = 6I. Use this to solve x−y=3x - y = 3, 2x+3y+4z=172x + 3y + 4z = 17, y+2z=7y + 2z = 7. What is zz?

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AnswerC · 44

  1. The system is AX=CAX = C with C=[3177]C = \begin{bmatrix} 3 \\ 17 \\ 7 \end{bmatrix}, and AB=6IAB = 6I means A−1=16BA^{-1} = \frac{1}{6}B.

  2. X=16BC=16[12−624]=[2−14]X = \frac{1}{6}BC = \frac{1}{6}\begin{bmatrix}12 \\ -6 \\ 24\end{bmatrix} = \begin{bmatrix}2 \\ -1 \\ 4\end{bmatrix}.

  3. So z=4z = 4.

Worth noting

24 is the third entry of BCBC, before dividing by 6.

At a canteen, 2 teas, 1 coffee and 1 juice cost ₹75; 1 tea, 2 coffees and 1 juice cost ₹85; and 1 tea, 1 coffee and 2 juices cost ₹100. Using the matrix method, what does one juice cost?

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AnswerD · 3535

  1. A=[211121112]A = \begin{bmatrix}2 & 1 & 1 \\ 1 & 2 & 1 \\ 1 & 1 & 2\end{bmatrix}, ∣A∣=4|A| = 4 and adj⁡A=[3−1−1−13−1−1−13]\operatorname{adj} A = \begin{bmatrix}3 & -1 & -1 \\ -1 & 3 & -1 \\ -1 & -1 & 3\end{bmatrix}.

  2. X=14[3−1−1−13−1−1−13][7585100]=[102035]X = \frac{1}{4}\begin{bmatrix}3 & -1 & -1 \\ -1 & 3 & -1 \\ -1 & -1 & 3\end{bmatrix}\begin{bmatrix} 75 \\ 85 \\ 100 \end{bmatrix} = \begin{bmatrix}10 \\ 20 \\ 35\end{bmatrix}.

  3. Tea ₹10, coffee ₹20, juice ₹35. Check: 10+20+2(35)=10010 + 20 + 2(35) = 100.

Worth noting

₹20 is the coffee; the juice is the third entry of XX.

NTA's Mathematics / Applied Mathematics syllabus has three sections: Section A1, which every candidate answers, then Section B1 (Mathematics) or Section B2 (Applied Mathematics), of which a candidate answers one. Each section lists units and topics but no chapters, so the chapters here are ours. Where both B sections list a topic that Section A also lists, its questions sit once, in Section A.