Determinants: Class 12 Maths · Chapter 4
One number that decides areas, inverses and solutions
Mathematics Part 1 · Companion notes, simulations and practice · Official NCERT chapter PDF ↗
Published · Updated
What you will learn in Determinants
- Evaluate determinants of order 1, 2 and 3, expanding a 3 × 3 determinant along whichever row or column makes the work shortest
- Use the rule that multiplying an n × n matrix by k multiplies its determinant by k to the power n, and solve equations whose unknown sits inside a determinant
- Find the area of a triangle from its vertices with a determinant, test three points for collinearity and write the equation of a line through two points
- Find the minors, cofactors and adjoint of a square matrix of order 2 or 3
- Explain why a square matrix multiplied by its adjoint gives its determinant times the identity, and use this to decide whether the matrix is invertible and to find its inverse
- Write a system of linear equations as AX = B, test it for consistency and solve it by the matrix method
Original companion text aligned to NCERT Mathematics Class 12, Chapter 4, pp. 76–103. Not affiliated with or endorsed by NCERT.
4.1 Introduction
Draw two straight lines on graph paper. They meet at exactly one point, or they never meet because they are parallel, or one lies exactly on top of the other. A pair of linear equations in and asks the same question in algebra: does it have one solution, none, or infinitely many?
For the pair and , a single number made from the coefficients answers this before you start solving. Multiply the first equation by and the second by , then subtract to remove : you get . If , you can divide, so is fixed and then is fixed: exactly one solution. If it is , the two lines have the same slope, so they are parallel or they coincide (Fig. 4.1).
1/3 meets at , and .
A coordinate grid with the solid line 2x + y = 7. In the first step a dashed second line x − y = −1 crosses it at the point (2, 3), and the panel reads one solution with a1b2 − a2b1 = −3. In the second step the dashed line is 4x + 2y = 6, parallel to the first, and the panel reads no solution with the number equal to 0. In the third step the dashed line is 4x + 2y = 14, which lies exactly on the solid line, and the panel reads infinitely many solutions, again with the number 0.
Because depends only on the coefficient matrix , we attach it to that matrix and call it the determinant (सारणिक) of the matrix. We stay with real square matrices no bigger than . First you learn to evaluate determinants quickly; then they earn their keep, giving the area of a triangle from its corners, a formula for the inverse of a matrix, and a test that tells you whether a system of equations can be solved before you try.
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Answer (C) and
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Answer False
4.2 Determinant
Feed a square matrix in, and one number comes out: that output is its determinant. So the determinant is a function from square matrices to numbers. For the real matrices in this book the output is real; matrices with complex entries can have complex determinants. Three notations are common: , and .
A rule that assigns to each square matrix a single number, written , or . In a determinant the entries sit between vertical bars, ; in a matrix, between brackets.
Example is a table of numbers, while is one number.
4.2.1 Determinant of a matrix of order one
For a matrix the determinant is the entry itself: . So . This tiny case already shows that the bars do not mean absolute value.
4.2.2 Determinant of a matrix of order two
For a matrix, multiply the entries on the main diagonal (top-left to bottom-right), multiply the entries on the other diagonal, and subtract the second product from the first (Fig. 4.2).
3/3Subtract: .
The determinant with rows 5, 3 and 2, 4. In the first step the main diagonal, 5 and 4, is circled and an arrow runs along it; the panel shows 5 × 4 = 20. In the second step the other diagonal, 3 and 2, is circled with a dashed arrow and the panel adds 3 × 2 = 6. In the third step the panel shows the result 20 − 6 = 14.
Swapping the two rows swaps the two products, so the sign of the determinant flips. Which diagonal you subtract therefore matters.
A numerical determinant
Evaluate .
Try it yourself first. Then reveal the solution one step at a time.
A determinant that ignores x
Show that has the same value for every real number .
Try it yourself first. Then reveal the solution one step at a time.
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Answer 26
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Answer (B)
4.2.3 Determinant of a matrix of order 3 × 3
A determinant is built from ones. Choose a row, say the first. Multiply each of its entries by the determinant left over when that entry's row and column are deleted. Then combine the three products with the signs , , . This is called the expansion of the determinant along that row.
Let be . The entry gets the sign and the determinant that remains after deleting row 1 and column :
Opening each small determinant gives six products:
Now try the second row, whose signs are , , : . Multiply out and match terms: for example is the second product in the six-term form, and is the fourth. All six agree, sign for sign. Expanding along the first column, , gives the same six products again.
There is a reason. Each of the six products uses exactly one entry from every row and exactly one from every column. No row or column is special, so all six expansions (three rows, three columns) give the same value.
4/4.
The determinant with rows 2, 1, 3; 4, −1, 0; 1, 5, 2, with the signs plus, minus, plus above the columns. In the first step the entry 2 is circled, row 1 and column 1 are struck out, and the four remaining cells are shaded; the panel computes the minor (−1)(2) − (0)(5) = −2 and the term +2 × (−2) = −4. In the second step the same is done for the entry 1 in column 2: minor 8, term −1 × 8 = −8. In the third step for the entry 3 in column 3: minor 21, term +3 × 21 = 63. In the last step the panel adds −4 − 8 + 63 to give 51.
You do not need to compute each time. The signs form a checkerboard that starts with in the top-left corner, so each row and each column alternates (Fig. 4.4).
3/3Expanding along uses the signs .
A 3 by 3 grid of signs: plus, minus, plus in the first row; minus, plus, minus in the second; plus, minus, plus in the third, with the plus squares shaded. Rows are labelled R1 to R3 and columns C1 to C3. Next to it: the sign of place (i, j) is minus one to the power i + j, plus when i + j is even and minus when it is odd. In the second step row 2 is outlined and the panel reads: along R2, minus plus minus. In the third step column 3 is outlined: along C3, plus minus plus.
Let the zeros do the work
Evaluate .
Try it yourself first. Then reveal the solution one step at a time.
A determinant with trigonometric entries
Show that does not depend on .
Try it yourself first. Then reveal the solution one step at a time.
Solving for an unknown inside a determinant
Find all real for which .
Try it yourself first. Then reveal the solution one step at a time.
Multiply every entry of an matrix by a number , and the determinant is multiplied by : .
A frequent slip is to write ; that holds only for matrices. A picture shows why the power appears. For a matrix, is the signed area of the parallelogram whose sides are the two columns of drawn as arrows. Doubling one column doubles the area; doubling both multiplies it by (Fig. 4.5). For matrices the same idea works with volumes and .
3/3Doubling both columns multiplies them by : .
A grid with two arrows from the origin, (3, 1) and (1, 2), forming a shaded parallelogram of area 5, which equals the determinant with rows 3, 1 and 1, 2. In the second step the first arrow is doubled to (6, 2); the parallelogram, drawn over a dashed outline of the original, has area 10. In the third step both arrows are doubled, to (6, 2) and (2, 4), and the area is 20, which is 4 × 5.
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Answer -5
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Answer (C) 32
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Answer (B)
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Answer False
Practice 4.1: questions with answers
Evaluate .
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Evaluate each determinant.
(for )
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, from .
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Answer
.
Let . Show that .
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. , so .
, so , as the scaling rule predicts for order 2.
Let . Show that .
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Along : .
, so .
, so .
Evaluate each determinant, choosing a convenient row or column.
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Column 2 has two zeros. Its only non-zero entry, 5, sits at place with sign : .
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Along : .
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Along (the first entry is 0): .
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Along : .
Let . Find , and compare row 3 with rows 1 and 2.
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Answer; row 3 = row 1 + 2 × row 2.
Along : .
Row 3 is , a combination of the other rows. Whenever one row is built from the others like this, the determinant is 0.
Find the values of .
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Answer
, so and or .
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Answer
, so and .
If , then equals
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Answer (C)
, so and . Both signs work; forgets to move the across.
4.3 Area of a Triangle
A surveyor who knows the corners of a plot of land, or a phone app that reads them from GPS, finds the area by splitting the plot into triangles. The area of each triangle comes straight from the coordinates of its corners, and the formula is a determinant.
Here is the formula first; where it comes from follows. Let the corners be , and .
Expanding along the first column turns the determinant into . That is the bracket in the coordinate-geometry area formula from Class 10, so the determinant is just a tidy way to store it.
Place the triangle above the -axis with and above the side , and drop perpendiculars , , to the axis (Fig. 4.6). The triangle is what remains of the two trapezia and after removing the trapezium . A trapezium with parallel sides , and width has area , so the area of the triangle is
Multiplying out, the terms , and cancel, and what is left is . Going in this picture turns clockwise, and for clockwise order is negative, so the area is . Listing the vertices anticlockwise gives , and the other placements of a triangle work out the same way.
3/3Removing the trapezium under AC leaves exactly the triangle.
Triangle ABC above the x-axis, with A on the left, B highest and C on the right; dashed perpendiculars drop from A, B and C to the points L, M and N on the axis. The first step shows the shaded triangle and the coordinates of the vertices. In the second step the two trapezia ALMB and BMNC are shaded in two colours and the panel reads ALMB + BMNC. In the third step the large trapezium ALNC is outlined with a dashed border, the triangle is shaded again, and the panel reads minus ALNC equals the area of ABC.
So the determinant has a sign as well as a size: it is positive when the vertices are listed anticlockwise and negative when they are listed clockwise (Fig. 4.7). Area cannot be negative, so we always take . When the area is given and a vertex is unknown, both signs are possible: solve and separately.
1/3Order turns anticlockwise: the determinant is , so and the area is square units.
A grid with the points (1, 1), (5, 2) and (2, 4). In the first step the triangle is shaded, the vertices are numbered 1st (1, 1), 2nd (5, 2), 3rd (2, 4), an arrow turns anticlockwise inside it, and the panel reads Δ = +11 and area 5.5. In the second step the order of the last two vertices is swapped, the outline is dashed, the arrow turns clockwise and the panel reads Δ = −11 with the same area. In the third step the third point moves to (3, 1.5) on the segment from (1, 1) to (5, 2); the triangle collapses to that segment and the panel reads Δ = 0, collinear.
The last picture gives a test. Three points are collinear exactly when . It also gives the equation of a line: a point lies on the line through and exactly when the three points are collinear, that is, when
Area from three vertices
Find the area of the triangle with vertices , and .
Try it yourself first. Then reveal the solution one step at a time.
A line, then a point at a given area
(a) Use a determinant to find the equation of the line through and . (b) Find every point on the -axis for which triangle has area 6 square units.
Try it yourself first. Then reveal the solution one step at a time.
A coordinate grid from −6 to 8 across and −5 to 7 up, with three draggable points A(−2, −1), B(4, 2) and C(0, 4) joined into a triangle. Each side shows its length and each point shows its coordinates, which snap to whole numbers as you drag, so you can read off the vertices and compute the area determinant for any position.
- Use the starting coordinates to show that the area is 12 square units. Then drag C to (2, 5). Predict the new area before you compute it, and explain the result using the line AB.
- Drag C to (2, 1) or to (0, 0). What happens to the triangle, and what is the determinant now?
- Drag C down to (0, −3), so it is on the other side of AB. Compute Δ with the vertices in the order A, B, C. What happened to its sign?
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Answer 10.5 square units
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Answer (D) 6
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Answer True
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Answer (B) and
Practice 4.2: questions with answers
Find the area of the triangle with the given vertices.
, ,
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(expanding along , only the last entry survives). Area 9 square units.
, ,
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Determinant: , so and the area is 20 square units.
, ,
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Determinant: , so the area is square units.
Show that the points , and are collinear for all real , , .
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Expanding along (signs ):
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The brackets simplify to , and , so the total is . Hence the points are collinear. (They all lie on .)
Find the possible values of k.
The triangle with vertices , , has area 6 square units.
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Answer or
, so .
gives ; gives .
The triangle with vertices , , has area 5 square units.
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Answer or
, so .
gives ; gives .
Use determinants to find the equation of the line through the two points.
and
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Answer
, i.e. .
and
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, i.e. .
The points , and form a triangle of area 4 square units. The possible values of are
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Answer (C) or
The determinant is , so , giving or . Forgetting the gives or ; using only the plus sign loses .
4.4 Minors and Cofactors
The small determinants that appeared in every expansion keep coming back: in expansions, in the adjoint and in the inverse. They are worth naming, and naming them lets us write an expansion in one short line.
The minor of the entry is the determinant that remains after deleting row and column . So a minor is always one size smaller than the determinant it comes from: order when the determinant has order .
ExampleIn a determinant every minor is a determinant.
3/3 is odd, so .
The determinant with rows 3, 0, −2; 5, 1, 4; −1, 6, 2. In the first step the entry 6 is circled and the panel says it sits in row 3 and column 2. In the second step row 3 and column 2 are struck out, the four remaining cells 3, −2, 5, 4 are shaded, and the panel computes (3)(4) − (−2)(5) = 22, the minor M32. In the third step the panel notes that 3 + 2 = 5 is odd, so the sign is minus and the cofactor A32 is −22.
One minor
In , find the minor of the entry 4.
Try it yourself first. Then reveal the solution one step at a time.
The cofactor of is : the minor with the checkerboard sign of its place attached.
ExampleIn Fig. 4.9, and .
All minors and cofactors of a 2 × 2 determinant
Find the minors and cofactors of all the entries of .
Try it yourself first. Then reveal the solution one step at a time.
Minors and cofactors in letters
For , find the minors and cofactors of and .
Try it yourself first. Then reveal the solution one step at a time.
For a matrix and any row , . For any column , .
What happens if you take the entries of one row but the cofactors of a different row? The answer is always zero, and it is the key to the inverse in the next section.
If the entries of one row are multiplied by the cofactors of a different row and the products are added, the sum is ; the same holds for columns. For example, .
3/3Row 2 entries times row-1 cofactors: .
The determinant with rows 1, 4, −2; 3, 0, 5; −1, 2, 6, with rows 2 and 3 shaded. The first step notes that the row-1 cofactors −10, −23 and 6 are built from rows 2 and 3 only. In the second step row 1 is replaced by a copy of row 2, 3, 0, 5, shaded in another colour; the cofactors are unchanged. In the third step the panel computes 3(−10) + 0(−23) + 5(6) = 0, because the new determinant has two equal rows.
Every cofactor, and a sum that vanishes
Find all the minors and cofactors of . Use them to find , and check that .
Try it yourself first. Then reveal the solution one step at a time.
The lab below does these calculations for any matrix you type. Expand along each of the six lines in turn, then mix the entries of one line with the cofactors of another, and watch the total.
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Answer -41
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Answer False
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Answer 0
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Answer (D)
Practice 4.3: questions with answers
Write the minors and cofactors of every entry.
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Answer;
Deleting row 1, column 1 leaves ; row 1, column 2 leaves ; row 2, column 1 leaves ; row 2, column 2 leaves . With signs: , , , .
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Answer;
The same pattern with letters: minors and cofactors . Check: , the determinant.
Write the minors and cofactors of every entry.
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Answer, , ; every other minor and cofactor is 0.
, , . Each off-diagonal minor contains a whole row or column of zeros, so it is 0. Diagonal places have sign , so the cofactors equal the minors.
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AnswerMinors: . Cofactors: .
Row 1: , , .
Row 2: , , .
Row 3: , , .
Cofactors flip the signs at places . Check: .
Using the cofactors of the entries of the third row, evaluate .
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, , .
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Using the cofactors of the entries of the first column, show that .
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, , .
So .
Now expand the right side: , and multiplying by gives , the same six terms.
is a determinant and is the cofactor of . Which expression equals ?
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Answer (D)
Option D is the expansion along column 2. A and B mix two different lines (each sums to 0), and C drops the signs of the cofactors.
4.5 Adjoint and Inverse of a Matrix
For a number the inverse is simply . Is there a formula like that for a square matrix? There is, and it also picks out exactly the matrices that have no inverse at all. Its main ingredient is the cofactors, packed into a new matrix. (In Chapter 3 you found inverses by elementary operations instead.)
4.5.1 Adjoint of a matrix
For a square matrix , the adjoint is the transpose of the matrix whose entries are the cofactors .
Read it as: the cofactors of row 1 of go down column 1 of , the cofactors of row 2 go down column 2, and so on (Fig. 4.12).
3/3Reflect in the main diagonal: rows become columns. The result is .
On the left the matrix A with rows 1, 0, 2; 3, 1, 0; 0, 2, 1, and an arrow to a matrix on the right. In the first step the entry 0 in row 1 is circled, the cells of its minor are shaded, and only its cofactor −3 appears on the right, with the note that it equals minus (3·1 − 0·0). In the second step the right matrix is filled with all nine cofactors: 1, −3, 6; 4, 1, −2; −2, 6, 1. In the third step a dashed line marks the main diagonal and the right matrix becomes its transpose, adj A, with rows 1, 4, −2; −3, 1, 6; 6, −2, 1.
Adjoint of a 2 × 2 matrix
Find for .
Try it yourself first. Then reveal the solution one step at a time.
Multiplying any square matrix by its adjoint, on either side, gives its determinant times the identity matrix of the same size: .
3/3.
Three matrices in a row: A with rows 1, 0, 2; 3, 1, 0; 0, 2, 1, then adj A with rows 1, 4, −2; −3, 1, 6; 6, −2, 1, then an equals sign and the product. Row 1 of A is shaded throughout. In the first step column 1 of adj A is shaded and the product's top-left entry 13 appears, with the working 1(1) + 0(−3) + 2(6) = 13. In the second step column 2 is shaded and the next entry 0 appears, from 1(4) + 0(1) + 2(−2) = 0. In the third step the full product is shown, 13 on the diagonal and 0 elsewhere, labelled |A| I.
Singular matrices and the inverse
A square matrix is singular if .
Example is singular, since .
A square matrix is non-singular if .
Example is non-singular: its determinant is .
The next two facts are proved in higher mathematics; here we use them freely and check one on numbers.
The product of two non-singular square matrices of equal size, taken in either order, is again non-singular.
For square matrices and of the same order, .
For a non-singular matrix , ; for a matrix this is .
An inverse of a square matrix exists exactly when , and it is then given by .
Two quick consequences. From we get . And the inverse is unique, so whichever method you use, you must reach the same ; a singular matrix has no inverse at all, while every non-singular matrix has one.
Verify Theorem 1, then invert
For , check that and find .
Try it yourself first. Then reveal the solution one step at a time.
The inverse of a product
For and , verify that .
Try it yourself first. Then reveal the solution one step at a time.
An inverse from a matrix equation
Show that satisfies , and use this to find .
Try it yourself first. Then reveal the solution one step at a time.
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Answer (A)
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Answer 4
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Answer True
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Answer 0.125
Practice 4.4: questions with answers
Find the adjoint of .
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Answer
Cofactors: , , , . Transposing gives .
Find the adjoint of .
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Answer
Cofactors by rows: , , ; , , ; , , .
Transpose: . (As a check, row 1 of times column 1 gives .)
Check that and both equal when .
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and .
and . Both equal .
Check that and both equal when .
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.
Multiplying in either order gives . For example, row 1 of times column 1 of is , and row 1 times column 2 is .
Find the inverse of , if it exists.
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Answer
, so .
Find the inverse of , if it exists.
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Answer
and , so .
Find the inverse of , if it exists.
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Answer
(expand down column 1).
Cofactors: , , , , , , , , .
. The inverse is again upper triangular.
Find the inverse of , if it exists.
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Answer
.
.
.
Find the inverse of , if it exists.
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Answer
Along : .
.
.
Find the inverse of , if it exists.
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Answer
Along : .
, so .
Find the inverse of .
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Answer
Along : .
The cofactors give , and since this is . It is the transpose of : the inverse of a rotation turns back the other way.
Let and . Verify that .
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, , so .
, ; , .
.
If , show that . Hence find .
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Answer
, so .
. Multiplying by : , so .
Determine and so that , where .
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Answer,
. The top-right entry of is , so .
The top-left entry is , so . Check the bottom row: and .
For , show that . Hence find .
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Answer
and . Entry by entry, (for instance the top-left entry is ).
. Multiplying by : , so .
For , verify that and hence find .
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Answer
has on the diagonal and elsewhere; has on the diagonal and elsewhere. Diagonal check: ; off-diagonal check: .
. Multiplying by : , so .
has on the diagonal and elsewhere, so .
is a non-singular matrix with . Find .
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Answer 25
.is an invertible matrix with . Then equals
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Answer (A)
. The answer forgets the cube.
4.6 Applications of Determinants and Matrices
A shopkeeper pricing mixed packs, an engineer balancing the forces at a joint and a dietitian matching nutrients all end up with several linear equations in several unknowns. Matrices let us write such a system as a single equation, and the inverse then solves it in one move. First, two words for what can happen.
A system of equations is consistent if it has at least one solution.
A system of equations is inconsistent if it has no solution.
A consistent system may have exactly one solution or infinitely many. In this chapter we solve only systems with exactly one solution; for the others we only decide whether solutions exist.
4.6.1 Solution of system of linear equations using inverse of a matrix
Collect the coefficients, the unknowns and the right-hand sides of , , into three matrices. Matrix multiplication then turns the three equations into one:
If , then exists. Multiply both sides of on the left by and regroup (matrix multiplication is associative):
Inverses are unique, so no other can satisfy the equation. This recipe, invert the coefficient matrix and multiply, is the matrix method.
Case II: . Now there is no inverse, but Theorem 1 still helps. Multiply on the left by : since , any solution would force . So if , no solution can exist and the system is inconsistent. If , the test is silent: the system may have infinitely many solutions (then it is consistent) or none, and you decide by looking at the equations themselves (Fig. 4.14).
3/3Compute . If it is not , there is no solution. If it is , check the equations: infinitely many solutions or none.
A flow chart. At the top a box AX = B leads to a diamond asking whether |A| = 0. In the second step the no branch is shown: it leads to a green box reading X = A inverse B, exactly one solution. In the third step the yes branch is added beside it: it leads to a box find (adj A)B, which splits into an orange box not O, no solution, and another box equals O, test further.
Two singular systems
Decide whether each system is consistent. (a) , , . (b) The same left-hand sides with right-hand sides , , .
Try it yourself first. Then reveal the solution one step at a time.
Two equations in two unknowns
Solve , by the matrix method.
Try it yourself first. Then reveal the solution one step at a time.
Three equations in three unknowns
Solve by the matrix method: , , .
Try it yourself first. Then reveal the solution one step at a time.
Ticket prices at a mela
At a village mela, one family pays ₹270 for 2 adult, 3 child and 1 senior ticket. A second family pays ₹200 for 1 adult, 2 child and 2 senior tickets, and a third pays ₹280 for 3 adult, 1 child and 2 senior tickets. Find the price of each kind of ticket by the matrix method.
Try it yourself first. Then reveal the solution one step at a time.
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Answer (C) has no solution
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Answer False
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Answer 2
- Write the system as
- Find and
- Compute
- Check that
- Substitute the values back into the equations
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- Write the system as
- Check that
- Find and
- Compute
- Substitute the values back into the equations
Practice 4.5: questions with answers
Examine the consistency of , .
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Answer (A) consistent, with exactly one solution
, so there is exactly one solution, , .Examine the consistency of , .
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Answer (C) inconsistent
and : no solution (the lines are parallel).Examine the consistency of , .
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Answer (B) consistent, with infinitely many solutions
and . The second equation is twice the first, so every point of the line is a solution.Examine the consistency of , , .
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Answer (C) inconsistent
, and . Indeed the first two add to , which contradicts .Examine the consistency of , , .
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Answer (A) consistent, with exactly one solution
, so there is exactly one solution, , , .Examine the consistency of , , .
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Answer (B) consistent, with infinitely many solutions
and . The third equation is the sum of the first two (), so only two independent equations remain and there are infinitely many solutions.Solve by the matrix method: , .
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Answer,
, , so .
Solve by the matrix method: , .
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Answer,
, .
.
Solve by the matrix method: , .
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Answer,
, .
.
Solve by the matrix method: , .
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Answer,
, .
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Solve by the matrix method: , , .
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Answer, ,
.
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Solve by the matrix method: , , .
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Answer, ,
.
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Solve by the matrix method: , , .
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Answer, ,
.
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Solve by the matrix method: , , .
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Answer, ,
.
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.
For , find . Use it to solve , , .
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Answer; , ,
.
, so .
.
A stationery shop sells three bundles: 3 notebooks, 4 pens and 2 erasers for ₹190; 2 notebooks, 6 pens and 5 erasers for ₹195; and 5 notebooks, 2 pens and 3 erasers for ₹245. Use the matrix method to find the price of one notebook, one pen and one eraser.
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AnswerNotebook ₹40, pen ₹15, eraser ₹5
, , .
and .
.
Miscellaneous example
Reading an inverse off a product
Find the product for and . Use it to solve , , .
Try it yourself first. Then reveal the solution one step at a time.
Practice questions with answers (NCERT “Miscellaneous exercises”)
Show that does not depend on .
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Along : .
, which has no in it.
Evaluate .
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Along : the term is .
The term is . The total is .
Given and , find .
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Answer
and .
.
Let . Verify that (a) and (b) .
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and , so .
(a) , so . Also . Both equal ; multiplying this by gives , which confirms it.
(b) says that is an inverse of ; inverses are unique, so . Numerically, .
Evaluate and write the answer as a product of factors.
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Answer
Along : .
This vanishes at , and dividing gives (expand to check).
Evaluate .
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Answer
Along : .
.
Solve , , .
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Answer, ,
With , , : , , .
and .
, so , , .
If , , are non-zero, the inverse of is
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Answer (D)
Row 1 of , , must meet column 1 of the inverse and give 1, so the bottom-left entry is ; similarly the top-right entry is . Option A swaps them.Let . As varies over all real numbers, what is the largest value of ?
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Answer 12
Along : . Since , takes every value from (at ) to (at ); the largest is .and are matrices with and . Find .
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Answer -48
.Match each quantity (for a non-singular matrix ) with its value.
Tap an item on the left, then its match on the right.
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Answer- :
- :
- :
- :
; with ; ; and a determinant can be expanded along rows or columns alike, so transposing does not change it.For what value of are the points , and collinear?
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Answer 7
, so .A square matrix whose determinant is zero is called a matrix.
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Answer singular
A matrix with is singular; it has no inverse.
Formulas at a glance
Determinants: key points and summary
- Every square matrix has a determinant: and (Section 4.2.2).
- A determinant can be expanded along any row or column with the signs ; all six expansions agree, so choose the line with the most zeros (Section 4.2.3).
- For a square matrix of order , (Property).
- The area of a triangle is , where of the rows ; its sign shows whether the vertices run anticlockwise or clockwise (Section 4.3).
- Three points are collinear exactly when , which also gives the equation of the line through two points (line equation).
- The minor is the determinant left after deleting row and column ; the cofactor is (Section 4.4).
- equals the sum of the entries of any row or column times their own cofactors; with the cofactors of a different line the sum is (Property).
- is the transpose of the matrix of cofactors; for order 2, swap the diagonal and negate the rest (Section 4.5.1).
- and both equal (Theorem 1).
- is singular if and non-singular otherwise; , and (Singular matrices and the inverse).
- has an inverse exactly when , and then (Theorem 4).
- If , the system has the unique solution (Section 4.6.1).
- If : when the system is inconsistent; when it has infinitely many solutions or none, and you check directly (Fig. 4.14).
Historical note: how determinants grew
- c. 200 BCE–100 CE
Counting-rod tables in China
The Nine Chapters on the Mathematical Art lays out the coefficients of several equations as a grid of rods and eliminates unknowns by combining columns.
- 1683
Seki Takakazu
The Japanese mathematician writes down determinant-like expansions to eliminate an unknown from equations.
- 1693
Leibniz
In a letter he labels coefficients with two indices and states when a system can be solved.
- 1750
Cramer's rule
Gabriel Cramer publishes a rule that solves n equations in n unknowns as ratios of such expressions.
- 1771–1773
Vandermonde, Laplace, Lagrange
Vandermonde studies determinants for their own sake, Laplace expands them by minors, and Lagrange uses them for areas and volumes.
- 1801
Gauss
He uses the word determinant, though for a quantity attached to quadratic forms.
- 1812
Binet and Cauchy
Both prove the product rule ; Cauchy gives the word its modern meaning.
- 1841
Jacobi
His papers make determinants a standard tool across mathematics.
Find your NCERT exercise question
Our practice questions are written for ncert.ai and follow the NCERT exercises. Find the one that matches the question in your textbook; its answer is with it.
| In your NCERT textbook | Practice question here |
|---|---|
| NCERT Exercise 4.1, Q1 | Practice 4.1 · Q1 |
| NCERT Exercise 4.1, Q2 | Practice 4.1 · Q2 |
| NCERT Exercise 4.1, Q3 | Practice 4.1 · Q3 |
| NCERT Exercise 4.1, Q4 | Practice 4.1 · Q4 |
| NCERT Exercise 4.1, Q5 | Practice 4.1 · Q5 |
| NCERT Exercise 4.1, Q6 | Practice 4.1 · Q6 |
| NCERT Exercise 4.1, Q7 | Practice 4.1 · Q7 |
| NCERT Exercise 4.1, Q8 | Practice 4.1 · Q8 |
| NCERT Exercise 4.2, Q1 | Practice 4.2 · Q1 |
| NCERT Exercise 4.2, Q2 | Practice 4.2 · Q2 |
| NCERT Exercise 4.2, Q3 | Practice 4.2 · Q3 |
| NCERT Exercise 4.2, Q4 | Practice 4.2 · Q4 |
| NCERT Exercise 4.2, Q5 | Practice 4.2 · Q5 |
| NCERT Exercise 4.3, Q1 | Practice 4.3 · Q1 |
| NCERT Exercise 4.3, Q2 | Practice 4.3 · Q2 |
| NCERT Exercise 4.3, Q3 | Practice 4.3 · Q3 |
| NCERT Exercise 4.3, Q4 | Practice 4.3 · Q4 |
| NCERT Exercise 4.3, Q5 | Practice 4.3 · Q5 |
| NCERT Exercise 4.4, Q1 | Practice 4.4 · Q1 |
| NCERT Exercise 4.4, Q2 | Practice 4.4 · Q2 |
| NCERT Exercise 4.4, Q3 | Practice 4.4 · Q3 |
| NCERT Exercise 4.4, Q4 | Practice 4.4 · Q4 |
| NCERT Exercise 4.4, Q5 | Practice 4.4 · Q5 |
| NCERT Exercise 4.4, Q6 | Practice 4.4 · Q6 |
| NCERT Exercise 4.4, Q7 | Practice 4.4 · Q7 |
| NCERT Exercise 4.4, Q8 | Practice 4.4 · Q8 |
| NCERT Exercise 4.4, Q9 | Practice 4.4 · Q9 |
| NCERT Exercise 4.4, Q10 | Practice 4.4 · Q10 |
| NCERT Exercise 4.4, Q11 | Practice 4.4 · Q11 |
| NCERT Exercise 4.4, Q12 | Practice 4.4 · Q12 |
| NCERT Exercise 4.4, Q13 | Practice 4.4 · Q13 |
| NCERT Exercise 4.4, Q14 | Practice 4.4 · Q14 |
| NCERT Exercise 4.4, Q15 | Practice 4.4 · Q15 |
| NCERT Exercise 4.4, Q16 | Practice 4.4 · Q16 |
| NCERT Exercise 4.4, Q17 | Practice 4.4 · Q17 |
| NCERT Exercise 4.4, Q18 | Practice 4.4 · Q18 |
| NCERT Exercise 4.5, Q1 | Practice 4.5 · Q1 |
| NCERT Exercise 4.5, Q2 | Practice 4.5 · Q2 |
| NCERT Exercise 4.5, Q3 | Practice 4.5 · Q3 |
| NCERT Exercise 4.5, Q4 | Practice 4.5 · Q4 |
| NCERT Exercise 4.5, Q5 | Practice 4.5 · Q5 |
| NCERT Exercise 4.5, Q6 | Practice 4.5 · Q6 |
| NCERT Exercise 4.5, Q7 | Practice 4.5 · Q7 |
| NCERT Exercise 4.5, Q8 | Practice 4.5 · Q8 |
| NCERT Exercise 4.5, Q9 | Practice 4.5 · Q9 |
| NCERT Exercise 4.5, Q10 | Practice 4.5 · Q10 |
| NCERT Exercise 4.5, Q11 | Practice 4.5 · Q11 |
| NCERT Exercise 4.5, Q12 | Practice 4.5 · Q12 |
| NCERT Exercise 4.5, Q13 | Practice 4.5 · Q13 |
| NCERT Exercise 4.5, Q14 | Practice 4.5 · Q14 |
| NCERT Exercise 4.5, Q15 | Practice 4.5 · Q15 |
| NCERT Exercise 4.5, Q16 | Practice 4.5 · Q16 |
| NCERT Miscellaneous Exercises, Q1 | Miscellaneous exercises · Q1 |
| NCERT Miscellaneous Exercises, Q2 | Miscellaneous exercises · Q2 |
| NCERT Miscellaneous Exercises, Q3 | Miscellaneous exercises · Q3 |
| NCERT Miscellaneous Exercises, Q4 | Miscellaneous exercises · Q4 |
| NCERT Miscellaneous Exercises, Q5 | Miscellaneous exercises · Q5 |
| NCERT Miscellaneous Exercises, Q6 | Miscellaneous exercises · Q6 |
| NCERT Miscellaneous Exercises, Q7 | Miscellaneous exercises · Q7 |
| NCERT Miscellaneous Exercises, Q8 | Miscellaneous exercises · Q8 |
| NCERT Miscellaneous Exercises, Q9 | Miscellaneous exercises · Q9 |
Quick check: MCQs on Determinants
- 4.1 Introduction2 questions
- 4.2.2 Determinant of a matrix of order two2 questions
- 4.2.3 Determinant of a matrix of order 3 × 34 questions
- 4.3 Area of a Triangle4 questions
- 4.4 Minors and Cofactors4 questions
- Singular matrices and the inverse4 questions
- 4.6.1 Solution of system of linear equations using inverse of a matrix4 questions
Key terms (English–Hindi)
- adjointसहखंडजsahkhandaj
- The transpose of the matrix of cofactors of a square matrix , written .
- cofactorसहखंडsahkhand
- : the minor of with its checkerboard sign attached.
- collinear pointsसंरेख बिंदुsanrekh bindu
- Points that lie on one straight line.First seen in the chapter →
- consistent systemसंगत निकायsangat nikaay
- A system of equations that has at least one solution.First seen in the chapter →
- determinantसारणिकsaarnik
- The number assigned to a square matrix , written or . For a matrix it is .First seen in the chapter →
- expansion of a determinantसारणिक का प्रसारsaarnik ka prasaar
- Writing a determinant as the sum of the entries of one row or column, each multiplied by its cofactor.First seen in the chapter →
- inconsistent systemअसंगत निकायasangat nikaay
- A system of equations that has no solution.First seen in the chapter →
- inverse of a matrixव्युत्क्रमvyutkram
- The matrix with . When it equals .First seen in the chapter →
- matrix methodआव्यूह विधिaavyooh vidhi
- Solving a system written as by computing , which works when .First seen in the chapter →
- minorउपसारणिकupsaarnik
- The minor of is the determinant left after deleting row and column .
- non-singular matrixव्युत्क्रमणीय आव्यूहvyutkramaniya aavyooh
- A square matrix whose determinant is not 0. It always has an inverse.First seen in the chapter →
- singular matrixअव्युत्क्रमणीय आव्यूहavyutkramaniya aavyooh
- A square matrix whose determinant is 0. It has no inverse.First seen in the chapter →