6.5 determinant x

Preview:

Citation preview

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

We define the determinant of the 2x2 matrix

or det

a b

c d a b

c d

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

We define the determinant of the 2x2 matrix

or det = ad

a b

c d a b

c d

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

We define the determinant of the 2x2 matrix

or det = ad – bc

a b

c d a b

c d

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

We define the determinant of the 2x2 matrix

or det = ad – bc

a b

c d a b

c d

Here are two motivations for this definition.

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

We define the determinant of the 2x2 matrix

or det = ad – bc

a b

c d a b

c d

Here are two motivations for this definition.

I. (Geometric) Let (a, b) and (c, d)

be two points in the rectangular

coordinate system.

(a, b) (c, d)

Determinant

The determinant of an nxn square matrix A,

or det(A), is a number.

We define the determinant of a 1x1 matrix k ,

or det k to be k. Hence det –3 = –3.

We define the determinant of the 2x2 matrix

or det = ad – bc

a b

c d a b

c d

Here are two motivations for this definition.

I. (Geometric) Let (a, b) and (c, d)

be two points in the rectangular

coordinate system.

Then deta b

c d = ad – bc

= “Signed” area of the parallelogram as shown.

(a, b) (c, d)

“Signed” area

= ad – bc

Determinant

DeterminantLet’s verify this in the simple cases where one of the

points is on the axis.

DeterminantLet’s verify this in the simple cases where one of the

points is on the axis.

For example, Iet the points be

(a, 0) and (c, d) as shown.

(a, 0)

(c, d)

DeterminantLet’s verify this in the simple cases where one of the

points is on the axis.

For example, Iet the points be

(a, 0) and (c, d) as shown.

then the area of the

parallelogram is

deta 0

c d

(a, 0)

(c, d)

d

= ad

DeterminantLet’s verify this in the simple cases where one of the

points is on the axis.

For example, Iet the points be

(a, 0) and (c, d) as shown.

then the area of the

parallelogram is

deta 0

c d

(a, 0)

(c, d)

d

If we switch the order of the two rows then

detc d

= – ad

= ad

a 0

DeterminantLet’s verify this in the simple cases where one of the

points is on the axis.

For example, Iet the points be

(a, 0) and (c, d) as shown.

then the area of the

parallelogram is

deta 0

c d

(a, 0)

(c, d)

d

If we switch the order of the two rows then

deta 0

c d = – ad

= ad

What’s the meaning of the “–” sign?

(besides that the rows are switched)

DeterminantLet’s verify this in the simple cases where one of the

points is on the axis.

For example, Iet the points be

(a, 0) and (c, d) as shown.

then the area of the

parallelogram is

deta 0

c d

(a, 0)

(c, d)

d

If we switch the order of the two rows then

deta 0

c d = – ad

= ad

What’s the meaning of the “–” sign?

(besides that the rows are switched). Actually it tells

us the “relative position” of these two points.

Determinant

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction.

A(a, b) A(a, b)

Determinant

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction. Let B(c, d) be another point,

there are two possibilities, A(a, b) A(a, b)

Determinant

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction. Let B(c, d) be another point,

there are two possibilities,

either B is to the left or

it’s to the right of dial A

as shown.

A(a, b)

B(c, d)

A(a, b)

B(c, d)

Determinant

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction. Let B(c, d) be another point,

there are two possibilities,

either B is to the left or

it’s to the right of dial A

as shown. The determinant

identifies which case it is.

A(a, b)

B(c, d)

A(a, b)

B(c, d)

Determinant

If deta b

c d is +, then B is to the left of A.

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction. Let B(c, d) be another point,

there are two possibilities,

either B is to the left or

it’s to the right of dial A

as shown.

i.

The determinant

identifies which case it is. detAB

A(a, b)

B(c, d)

A(a, b)

B(c, d)

> 0

B is to the left of A.

Determinant

If deta b

c d is +, then B is to the left of A.

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction. Let B(c, d) be another point,

there are two possibilities,

either B is to the left or

it’s to the right of dial A

as shown.

i.

ii.

The determinant

identifies which case it is. detAB

A(a, b)

B(c, d)

A(a, b)

B(c, d)

> 0 detAB < 0

B is to the left of A. B is to the right of A.

If deta b

c d is –, then B is to the right of A.

Determinant

If deta b

c d is +, then B is to the left of A.

Given a point A(a, b) ≠ (0, 0), the dial with the tip at A

defines a direction. Let B(c, d) be another point,

there are two possibilities,

either B is to the left or

it’s to the right of dial A

as shown.

i.

ii.

The determinant

identifies which case it is. detAB

A(a, b)

B(c, d)

A(a, b)

B(c, d)

> 0 detAB < 0

B is to the left of A. B is to the right of A.

If deta b

c d is –, then B is to the right of A.

For example det1 0

0 1 > 0 and det

1 0

0 1 < 0.

It is in the above sense that we have the

signed-area-answer of det A.

Determinant

So given the picture to the right: (a, b) (c, d)

It is in the above sense that we have the

signed-area-answer of det A.

Determinant

So given the picture to the right:

deta b

c d = + Area of

(a, b) (c, d)

It is in the above sense that we have the

signed-area-answer of det A.

Determinant

So given the picture to the right:

deta b

c d = + Area of

(a, b) (c, d)

deta b

c d = – Area of

and

It is in the above sense that we have the

signed-area-answer of det A.

Determinant

So given the picture to the right:

deta b

c d = + Area of

(a, b) (c, d)

deta b

c d = – Area of

and

It is in the above sense that we have the

signed-area-answer of det A.

Example A. Find the area.

Determinant

(5,–3)

(1,4)

So given the picture to the right:

deta b

c d = + Area of

(a, b) (c, d)

deta b

c d = – Area of

and

It is in the above sense that we have the

signed-area-answer of det A.

Example A. Find the area.

Determinant

(5,–3)

(1,4)

det5 –3

1 4

To find the area, we calculate

So given the picture to the right:

deta b

c d = + Area of

(a, b) (c, d)

deta b

c d = – Area of

and

It is in the above sense that we have the

signed-area-answer of det A.

Example A. Find the area.

Determinant

(5,–3)

(1,4)

det5 –3

1 4

To find the area, we calculate

= 5(4) – 1(–3) = 23 = area

So given the picture to the right:

deta b

c d = + Area of

(a, b) (c, d)

deta b

c d = – Area of

and

It is in the above sense that we have the

signed-area-answer of det A.

Example A. Find the area.

Determinant

(5,–3)

(1,4)

det5 –3

1 4

To find the area, we calculate

= 5(4) – 1(–3) = 23 = area

Note that if a, b, c and d are integers,

then the -area is an integer also.

Here is another motivation for the 2x2 determinants.

Determinant

Here is another motivation for the 2x2 determinants.

Determinant

Il. (Algebraic) The system of equations

deta b

c d ≠ 0

ax + by = #

cx + dy = #

has exactly one solution if and only if

Here is another motivation for the 2x2 determinants.

Here are examples where we don’t have exactly

one solution.

Determinant

Il. (Algebraic) The system of equations

deta b

c d ≠ 0

ax + by = #

cx + dy = #

has exactly one solution if and only if

{ x + y = 2

2x + 2y = 4

Here is another motivation for the 2x2 determinants.

Here are examples where we don’t have exactly

one solution.

Duplicated information.

Infinitely many solutions.

Determinant

Il. (Algebraic) The system of equations

deta b

c d ≠ 0

ax + by = #

cx + dy = #

has exactly one solution if and only if

{ x + y = 2

2x + 2y = 4

Here is another motivation for the 2x2 determinants.

Here are examples where we don’t have exactly

one solution.

Duplicated information.

Infinitely many solutions.

Determinant

Il. (Algebraic) The system of equations

deta b

c d ≠ 0

ax + by = #

cx + dy = #

has exactly one solution if and only if

{ x + y = 2

2x + 2y = 4 { x + y = 2

2x + 2y = 5

Here is another motivation for the 2x2 determinants.

Here are examples where we don’t have exactly

one solution.

Duplicated information.

Infinitely many solutions.

Determinant

Il. (Algebraic) The system of equations

deta b

c d ≠ 0

ax + by = #

cx + dy = #

has exactly one solution if and only if

{ x + y = 2

2x + 2y = 4 { x + y = 2

2x + 2y = 5

Contradictory information.

No solutions.

Here is another motivation for the 2x2 determinants.

Here are examples where we don’t have exactly

one solution.

Duplicated information.

Infinitely many solutions.

Determinant

Il. (Algebraic) The system of equations

deta b

c d ≠ 0

ax + by = #

cx + dy = #

has exactly one solution if and only if

{ x + y = 2

2x + 2y = 4 { x + y = 2

2x + 2y = 5

Contradictory information.

No solutions.

Note that the coefficient matrix has det1 12 2 = 0.

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.1 1

1 4 = 3 = D ≠ 0det

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

namely that x =det

u b v d

D

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.1 1

1 4 = 3 = D ≠ 0 det

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

namely that x =det

u b v d

D

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.1 1

1 4 = 3 = D ≠ 0 det

so that x =det

2 15 4

3

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

namely that x =det

u b v d

D

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.1 1

1 4 = 3 = D ≠ 0 det

so that x =det

2 15 4

3= 1

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

namely that x =det

u b v d

Dy =

deta uc v

D

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.1 1

1 4 = 3 = D ≠ 0 det

so that x =det

2 15 4

3= 1

Here is the Cramer’s rule that actually gives

the only solution of the system

Determinant

if deta b

c d = D ≠ 0

ax + by = u

cx + dy = v

namely that x =det

u b v d

Dy =

deta uc v

D

{ x + y = 2

x + 4y = 5

Example B. Use the Cramer’s rule to solve for x & y.1 1

1 4 = 3 = D ≠ 0 det

so that x =det

2 15 4

3y =

det1 21 5

3= 1 = 1

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Determinant

det

a b c

d e f

g h i

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Example C. Calculate.

Determinant

det

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Determinant

det

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

Example C. Calculate.

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Determinant

det

a b c

d e f

g h i

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

Example C. Calculate.

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Determinant

det

a b c

d e f

g h i

det– b*d f

g i

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

Example C. Calculate.

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Determinant

det

a b c

d e f

g h i

det– b*d f

g i

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

Example C. Calculate.

det– 0*2 0

2 –1

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Determinant

det

a b c

d e f

g h i

det– b* det+ c*d f

g i

d e

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

Example C. Calculate.

det– 0*2 0

2 –1

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Example C. Calculate.

Determinant

det

a b c

d e f

g h i

det– b* det+ c*d f

g i

d e

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

det– 0* det+ 2*2 0

2 –1

2 1

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Example C. Calculate.

Determinant

det

a b c

d e f

g h i

det– b* det+ c*d f

g i

d e

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

det– 0* det+ 2*2 0

2 –1

2 1

= 1(–1 – 0) – 0 + 2(6 – 2)

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Example C. Calculate.

Determinant

det

a b c

d e f

g h i

det– b* det+ c*d f

g i

d e

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

det– 0* det+ 2*2 0

2 –1

2 1

= 1(–1 – 0) – 0 + 2(6 – 2)

= –1 + 8

= 7

Don’t remember this!

dete f

h i= a*

The determinant of a 3×3 matrix, may be defined

in the following expansion of 2×2 determinants:

Example C. Calculate.

Determinant

det

a b c

d e f

g h i

det– b* det+ c*

= a(ei – hf) – b(ei – hf) + c(dh – ge)

d f

g i

d e

det1 0

3 –1= 1*det

1 0 2

2 1 0

2 3 –1

det– 0* det+ 2*2 0

2 –1

2 1

= 1(–1 – 0) – 0 + 2(6 – 2)

= –1 + 8

= 7

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

Enlarge the matrix

by adding the

first two columns.

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

1 0 2

2 1 0

2 3 –1

1 0

2 1

2 3

Enlarge the matrix

by adding the

first two columns.

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

1 0 2

2 1 0

2 3 –1

1 0

2 1

2 3

Enlarge the matrix

by adding the

first two columns.

Add all these diagonal products

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

1 0 2

2 1 0

2 3 –1

1 0

2 1

2 3

Enlarge the matrix

by adding the

first two columns.

Add all these diagonal products

Add –1 0 12

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

1 0 2

2 1 0

2 3 –1

1 0

2 1

2 3

Enlarge the matrix

by adding the

first two columns.

Subtract all these diagonal products

Add all these diagonal products

Add –1 0 12

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

1 0 2

2 1 0

2 3 –1

1 0

2 1

2 3

Enlarge the matrix

by adding the

first two columns.

Subtract all these diagonal products

Add all these diagonal products

Subtract 4 0 0

Add –1 0 12

Here is the useful Butterfly method

for the determinant of a 3×3 matrix.

Determinant

a b c

d e f

g h i

det

1 0 2

2 1 0

2 3 –1

det

Example D. Calculate using the Butterfly method.

a b c

d e f

g h i

a b

d e

g h

1 0 2

2 1 0

2 3 –1

1 0

2 1

2 3

Enlarge the matrix

by adding the

first two columns.

Subtract all these diagonal products

Add all these diagonal products

Subtract 4 0 0

Add –1 0 12

(–1 +12) – 4 = 7

The det A of a 3×3 matrix A similarly gives

the volume of a solid in 3D space.

Determinant

Determinant

(a, b, c)

(d, e, f)

(0, 0, 0)

(g, h, i)

a b c

d e f

g h idet = ± the volume of

The det A of a 3×3 matrix A similarly gives

the volume of a solid in 3D space.

Specifically,

Determinant

(a, b, c)

(d, e, f)

(0, 0, 0)

(g, h, i)a b c

d e f

g h idet = ± the volume of

The det A of a 3×3 matrix A similarly gives

the volume of a solid in 3D space.

Specifically,

Again there the ± are the two “orientations” of the

objects defined by these coordinates.

Determinant

(a, b, c)

(d, e, f)

(0, 0, 0)

(g, h, i)a b c

d e f

g h idet = ± the volume of

The det A of a 3×3 matrix A similarly gives

the volume of a solid in 3D space.

Specifically,

Again there the ± are the two “orientations” of the

objects defined by these coordinates.

If we switch two of the coordinates in our labeling,

say x and y, we would get a left handed copy

of the solid.

Determinant

(a, b, c)

(d, e, f)

(0, 0, 0)

(g, h, i)a b c

d e f

g h idet = ± the volume of

The det A of a 3×3 matrix A similarly gives

the volume of a solid in 3D space.

Specifically,

Again there the ± are the two “orientations” of the

objects defined by these coordinates.

If we switch two of the coordinates in our labeling,

say x and y, we would get a left handed copy

of the solid. But if we switch the labeling again,

we would get back to the original right handed solid.

Determinant

(a, b, c)

(d, e, f)

(0, 0, 0)

(g, h, i)a b c

d e f

g h idet = ± the volume of

Likewise the 3x3 system

Determinant

≠ 0det

a b c

d e f

g h ihas a unique answer iff the

ax + by + cz = #

dx + ey + fz = #

gx + hy + iz = #

Likewise the 3x3 system

Determinant

There is a 3x3 (in general nxn) Cramer’s Rule that

gives the solutions for x, y, and z but it’s not useful

for computational purposes-too many steps!

≠ 0det

a b c

d e f

g h ihas a unique answer iff the

ax + by + cz = #

dx + ey + fz = #

gx + hy + iz = #

Likewise the 3x3 system

Determinant

ax + by + cz = #

There is a 3x3 (in general nxn) Cramer’s Rule that

gives the solutions for x, y, and z but it’s not useful

for computational purposes-too many steps!

dx + ey + fz = #

gx + hy + iz = #

≠ 0det

a b c

d e f

g h ihas a unique answer iff the

We will show a method of finding the determinants of

n x n matrices.

Likewise the 3x3 system

Determinant

ax + by + cz = #

There is a 3x3 (in general nxn) Cramer’s Rule that

gives the solutions for x, y, and z but it’s not useful

for computational purposes-too many steps!

dx + ey + fz = #

gx + hy + iz = #

≠ 0det

a b c

d e f

g h ihas a unique answer iff the

We will show a method of finding the determinants of

n x n matrices. The Cramer’s Rule establishes that:

an nxn linear system has a unique answer iff

the det(the coefficient matrix) ≠ 0.

DeterminantWe need two points to define the

two edges of a parallelogram

DeterminantWe need two points to define the

two edges of a parallelogram

and three points for the three edges

of a tilted box.

DeterminantWe need two points to define the

two edges of a parallelogram

and three points for the three edges

of a tilted box. The coordinates of

these points form 2x2 and 3x3

square matrices and the determinants

of these matrices give the signed

areas and volumes respectively.

DeterminantWe need two points to define the

two edges of a parallelogram

and three points for the three edges

of a tilted box. The coordinates of

these points form 2x2 and 3x3

square matrices and the determinants

of these matrices give the signed

areas and volumes respectively.

Likewise, we need n points to

determine an “n-dimensional box”

whose coordinates form an nxn matrix.

DeterminantWe need two points to define the

two edges of a parallelogram

and three points for the three edges

of a tilted box. The coordinates of

these points form 2x2 and 3x3

square matrices and the determinants

of these matrices give the signed

areas and volumes respectively.

Likewise, we need n points to

determine an “n-dimensional box”

whose coordinates form an nxn matrix.

Below we give one method to find the determinants of

nxn matrices which is the signed “volumes” of these

“n-dimensional” boxes.

DeterminantFinding Determinants-Expansion by the First Row

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . aij .

. . . . .

an1 . . . ann

A =

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . aij .

. . . . .

an1 . . . ann

The submatrix Aij of A

is the matrix left after deleting

the i'th row and j’th column of A.A =

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . aij .

. . . . .

an1 . . . ann

The submatrix Aij of A

is the matrix left after deleting

the i'th row and j’th column of A.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

A =

Aij = aij

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . aij .

. . . . .

an1 . . . ann

The submatrix Aij of A

is the matrix left after deleting

the i'th row and j’th column of A.

For example, if

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

A =

Aij =

A =1 0 2

2 1 0

2 3 –1, then

A23 =aij

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . aij .

. . . . .

an1 . . . ann

The submatrix Aij of A

is the matrix left after deleting

the i'th row and j’th column of A.

For example, if

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

A =

Aij =

A =1 0 2

2 1 0

2 3 –1, then

A23 =

1 0 2

2 1 0

2 3 –1

delete the 2nd row

and the 3rd column

aij

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . aij .

. . . . .

an1 . . . ann

The submatrix Aij of A

is the matrix left after deleting

the i'th row and j’th column of A.

For example, if

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

A =

Aij =

A =1 0 2

2 1 0

2 3 –1, then

A23 =

1 0 2

2 1 0

2 3 –1

delete the 2nd row

and the 3rd column

aij=

1 0

2 3

DeterminantFinding Determinants-Expansion by the First Row

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

A =

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

The determinant of A or det(A)

may be calculated using the

determinants of its

submatrices Aij’s. A =

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

The determinant of A or det(A)

may be calculated using the

determinants of its

submatrices Aij’s.

Here is the formula for det(A)

using the determinants of the

submatrices from the 1st row.

A =

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

The determinant of A or det(A)

may be calculated using the

determinants of its

submatrices Aij’s.

Here is the formula for det(A)

using the determinants of the

submatrices from the 1st row.

A =

det(A) ≡ a11det(A11)–a12det(A12) +a13det(A13) – ..(±)a1ndet(A1n)

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

The determinant of A or det(A)

may be calculated using the

determinants of its

submatrices Aij’s.

Here is the formula for det(A)

using the determinants of the

submatrices from the 1st row.

A =

det(A) ≡ a11det(A11)–a12det(A12) +a13det(A13) – ..(±)a1ndet(A1n)

Hence using this formula,

det1 0 2

2 1 0

2 3 –1

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

The determinant of A or det(A)

may be calculated using the

determinants of its

submatrices Aij’s.

Here is the formula for det(A)

using the determinants of the

submatrices from the 1st row.

A =

det(A) ≡ a11det(A11)–a12det(A12) +a13det(A13) – ..(±)a1ndet(A1n)

Hence using this formula,

det1 0 2

2 1 0

2 3 –1

= 1det – 0 + 2det 1 03 –1

2 12 3

DeterminantFinding Determinants-Expansion by the First Row

Let A be an nxn matrix as shown.

a11 a12 . . a1n

a21 a22 . . a2n

. . . . .

. . . . .

an1 . . . ann

The determinant of A or det(A)

may be calculated using the

determinants of its

submatrices Aij’s.

Here is the formula for det(A)

using the determinants of the

submatrices from the 1st row.

A =

det(A) ≡ a11det(A11)–a12det(A12) +a13det(A13) – ..(±)a1ndet(A1n)

Hence using this formula,

det1 0 2

2 1 0

2 3 –1

= 1det – 0 + 2det 1 03 –1

2 12 3

= –1 + 8 = 7 (same answer as in eg. D)

DeterminantExample E. Find the following determinant using

the 1st row expansion.

2 0 −1 01 0 0 20 1 1 0−1 2 0 1

det

DeterminantExample E. Find the following determinant using

the 1st row expansion.

2 0 −1 01 0 0 20 1 1 0−1 2 0 1

det

= 2 det

0 0 2

1 1 0

2 0 1

2

DeterminantExample E. Find the following determinant using

the 1st row expansion.

2 0 −1 01 0 0 20 1 1 0−1 2 0 1

det

= 2 det

0 0 2

1 1 0

2 0 1

– 0

0

DeterminantExample E. Find the following determinant using

the 1st row expansion.

2 0 −1 01 0 0 20 1 1 0−1 2 0 1

det

= 2 det

0 0 2

1 1 0

2 0 1

– 0 + (−1)det1 0 2

0 1 0

–1 2 1

−1

DeterminantExample E. Find the following determinant using

the 1st row expansion.

2 0 −1 01 0 0 20 1 1 0−1 2 0 1

det

= 2 det

0 0 2

1 1 0

2 0 1

– 0 + (−1)det1 0 2

0 1 0

–1 2 1

0

– 0

DeterminantExample E. Find the following determinant using

the 1st row expansion.

2 0 −1 01 0 0 20 1 1 0−1 2 0 1

det

= 2 det

0 0 2

1 1 0

2 0 1

– 0 + (−1)det1 0 2

0 1 0

–1 2 1

– 0

= −11

Recommended