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128 Chapter 3 Determinants 3.4 Applications of Determinants Find the adjoint of a matrix and use it to find the inverse of the matrix. Use Cramer’s Rule to solve a system of linear equations in variables. Use determinants to find area, volume, and the equations of lines and planes. THE ADJOINT OF A MATRIX So far in this chapter, you have studied procedures for evaluating, and properties of, determinants. In this section, you will study an explicit formula for the inverse of a nonsingular matrix and use this formula to derive a theorem known as Cramer’s Rule. You will then solve several applications of determinants. Recall from Section 3.1 that the cofactor of a square matrix is defined as times the determinant of the matrix obtained by deleting the th row and the th column of The matrix of cofactors of has the form The transpose of this matrix is called the adjoint of and is denoted by adj That is, Finding the Adjoint of a Square Matrix Find the adjoint of SOLUTION The cofactor is given by Continuing this process produces the following matrix of cofactors of The transpose of this matrix is the adjoint of That is, adjA = 4 1 2 6 0 3 7 1 2 . A. 4 6 7 1 0 1 2 3 2 A. C 11 = -1 2 -2 0 1 -2 = 4. -1 0 1 3 -2 0 2 1 -2 C 11 A = -1 0 1 3 -2 0 2 1 -2 . adjA = C 11 C 12 . . . C 1n C 21 C 22 . . . C 2n ... ... ... C n1 C n2 . . . C nn . A. A C 11 C 21 . . . C n1 C 12 C 22 . . . C n2 ... ... ... C 1n C 2n . . . C nn . A A. j i -1 i +j A C ij n n

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  • 128 Chapter 3 Determinants

    3.4 Applications of Determinants

    Find the adjoint of a matrix and use it to find the inverse of

    the matrix.

    Use Cramers Rule to solve a system of linear equations in

    variables.

    Use determinants to find area, volume, and the equations of

    lines and planes.

    THE ADJOINT OF A MATRIX

    So far in this chapter, you have studied procedures for evaluating, and properties of,

    determinants. In this section, you will study an explicit formula for the inverse of a

    nonsingular matrix and use this formula to derive a theorem known as Cramers Rule.

    You will then solve several applications of determinants.

    Recall from Section 3.1 that the cofactor of a square matrix is defined as

    times the determinant of the matrix obtained by deleting the th row and the

    th column of The matrix of cofactors of has the form

    The transpose of this matrix is called the adjoint of and is denoted by adj

    That is,

    Finding the Adjoint of a Square Matrix

    Find the adjoint of

    SOLUTION

    The cofactor is given by

    Continuing this process produces the following matrix of cofactors of

    The transpose of this matrix is the adjoint of That is, adjsAd 5 34

    1

    2

    6

    0

    3

    7

    1

    24.A.

    34

    6

    7

    1

    0

    1

    2

    3

    24

    A.

    C11 5 s21d2|220 122| 5 4.321

    0

    1

    3

    22

    0

    2

    1

    224

    C11

    A 5 321

    0

    1

    3

    22

    0

    2

    1

    224.

    adjsAd 5 3C11C12.

    .

    .C1n

    C21C22.

    .

    .C2n

    . . .

    . . .

    . . .

    Cn1Cn2.

    .

    .Cnn

    4.sAd.A

    3C11C21.

    .

    .Cn1

    C12C22.

    .

    .Cn2

    . . .

    . . .

    . . .

    C1nC2n.

    .

    .Cnn

    4.AA.j

    is21di1 jACi j

    n

    n

  • PROOF

    Begin by proving that the product of and its adjoint is equal to the product of the

    determinant of and Consider the product

    The entry in the th row and th column of this product is

    If then this sum is simply the cofactor expansion of in its th row, which means

    that the sum is the determinant of On the other hand, if then the sum is zero.

    (Try verifying this.)

    Because is invertible, det and you can write

    or

    By Theorem 2.7 and the definition of the inverse of a matrix, it follows that

    Using the Adjoint of a Matrix

    to Find Its Inverse

    Use the adjoint of to find where

    SOLUTION

    The determinant of this matrix is 3. Using the adjoint of (found in Example 1), the

    inverse of is

    Check that this matrix is the inverse of by showing that AA21 5 I 5 A21A.A

    A21 51

    |A|adjsAd 5133

    4

    1

    2

    6

    0

    3

    7

    1

    24 5 3

    43

    13

    23

    2

    0

    1

    73

    13

    23

    4.A

    A

    A 5 321

    0

    1

    3

    22

    0

    2

    1

    224.A21,A

    1

    detsAd adjsAd 5 A21.

    A3 1detsAd adjsAd4 5 I.1

    detsAd AfadjsAdg 5 I

    sAd 0A

    AfadjsAdg 5 3detsAd

    0...0

    0

    detsAd...0

    . . .

    . . .

    . . .

    0

    0...

    detsAd4 5 detsAdI

    i j,A.

    iAi 5 j,

    ai1Cj1 1 ai2Cj2 1. . . 1 ainCjn.

    ji

    3C11C12.

    .

    .C1n

    C21C22.

    .

    .C2n

    . . .

    . . .

    . . .

    Cj1Cj2...

    Cjn

    . . .

    . . .

    . . .

    Cn1Cn2.

    .

    .Cnn

    4.A fadjsAdg 5 3a11a21...

    ai1...

    an1

    a12a22...

    ai2...

    an2

    . . .

    . . .

    . . .

    . . .

    a1na2n...

    ain...

    ann

    4In.A

    A

    3.4 Applications of Determinants 129

    REMARKTheorem 3.10 is not particularly

    efficient for calculating inverses.

    The Gauss-Jordan elimination

    method discussed in Section 2.3

    is much better. Theorem 3.10

    is theoretically useful, however,

    because it provides a concise

    formula for the inverse of

    a matrix.

    REMARKIf is a matrix

    then the adjoint

    of is simply

    Moreover, if is invertible,

    then from Theorem 3.10 you

    have

    which agrees with the result in

    Section 2.3.

    51

    ad 2 bc 3 d

    2c

    2b

    a4

    A21 51

    |A|adjsAd

    A

    adjsAd 5 3 d2c

    2b

    a4.A

    A 5 3acb

    d4,2 3 2A

    THEOREM 3.10 The Inverse of a Matrix Given by Its Adjoint

    If is an invertible matrix, then A21 51

    detsAdadjsAd.n 3 nA

    The adjoint of a matrix is useful for finding the inverse of as indicated in the

    next theorem.

    A,A

  • CRAMERS RULE

    Cramers Rule, named after Gabriel Cramer (17041752), uses determinants to solve a

    system of linear equations in variables. This rule applies only to systems with

    unique solutions. To see how Cramers Rule works, take another look at the solution

    described at the beginning of Section 3.1. There, it was pointed out that the system

    has the solution

    and

    when Each numerator and denominator in this solution can be

    represented as a determinant, as follows.

    The denominator for and is simply the determinant of the coefficient matrix

    of the original system. The numerators for and are formed by using the column

    of constants as replacements for the coefficients of and in These two

    determinants are denoted by and as follows.

    and

    You have and This determinant form of the solution is called

    Cramers Rule.

    Using Cramers Rule

    Use Cramers Rule to solve the system of linear equations.

    SOLUTION

    First find the determinant of the coefficient matrix.

    Because you know the system has a unique solution, and applying Cramers

    Rule produces

    and

    The solution is and x2 5 21.x1 5 2

    x2 5|A2||A|

    5|43 1011|

    2145

    14

    2145 21.

    x1 5|A1||A|

    5|1011 2225|

    2145

    228

    2145 2

    |A| 0,

    5 214 |A| 5 |43 2225|

    3x1 2 5x2 5 11

    4x1 2 2x2 5 10

    x2 5|A2||A|

    .x1 5|A1||A|

    |A2| 5 |a11a21 b1b2||A1| 5 |b1b2 a12a22||A2|,|A1|

    |A|.x2x1x2x1

    Ax2x1

    a11a22 2 a21a12 0x2 5|a11a21 b1b2||a11a21 a12a22|

    ,x1 5|b1b2 a12a22||a11a21 a12a22|

    ,

    a11a22 2 a21a12 0.

    x2 5b2a11 2 b1a21

    a11a22 2 a21a12x1 5

    b1a22 2 b2a12a11a22 2 a21a12

    a21x1 1 a22x2 5 b2

    a11x1 1 a12x2 5 b1

    nn

    130 Chapter 3 Determinants

  • Cramers Rule generalizes easily to systems of linear equations in variables. The

    value of each variable is given as the quotient of two determinants. The denominator is

    the determinant of the coefficient matrix, and the numerator is the determinant of the

    matrix formed by replacing the column corresponding to the variable being solved for

    with the column representing the constants. For instance, the solution for in the system

    is

    PROOF

    Let the system be represented by Because is nonzero, you can write

    If the entries of are then but

    the sum (in parentheses) is precisely the cofactor expansion of which means that

    and the proof is complete.

    Using Cramers Rule

    Use Cramers Rule to solve the system of linear equations for

    SOLUTION

    The determinant of the coefficient matrix is

    Because you know that the solution is unique, so apply Cramers Rule to solve

    for as follows.

    x 5|102 2024 2314|

    105

    s1ds21d5|12 224|10

    5s1ds21ds28d

    105

    4

    5

    x,|A| 0,

    |A| 5 |2123 2024 2314| 5 10. 3x 2 4y 1 4z 5 2

    2x 1 z 5 0

    2x 1 2y 2 3z 5 1

    x.

    x i 5 |Ai|y|A|,Ai,

    x i 51

    |A|sb1C1i 1 b2C2i 1 . . . 1 bnCnid,b1, b2, . . . , bn,B

    X 5 A21B 51

    |A| adjsAdB 5 3

    x1

    x2...

    xn

    4.|A|AX 5 B.

    x3 5|A3||A|

    5|a11a21a31 a12a22a32 b1b2b3||a11a21a31 a12a22a32 a13a23a33|

    .

    a11x1a21x1a31x1

    1

    1

    1

    a12x2a22x2a32x2

    1

    1

    1

    a13x3a23x3a33x3

    5

    5

    5

    b1b2b3

    x3

    nn

    3.4 Applications of Determinants 131

    THEOREM 3.11 Cramers Rule

    If a system of linear equations in variables has a coefficient matrix with

    a nonzero determinant then the solution of the system is

    . . . ,

    where the th column of is the column of constants in the system of equations.Aii

    xn 5detsAnddetsAd

    x2 5detsA2ddetsAd

    ,x1 5detsA1ddetsAd

    ,

    |A|,Ann

    REMARKTry applying Cramers Rule to

    solve for and You will see

    that the solution is and

    z 5 285.

    y 5 232

    z.y

  • AREA, VOLUME, AND EQUATIONS OF LINES AND PLANES

    Determinants have many applications in analytic geometry. One application is in

    finding the area of a triangle in the -plane.

    PROOF

    Prove the case for Assume that and that lies above the

    line segment connecting and as shown in Figure 3.1. Consider the three

    trapezoids whose vertices are

    The area of the triangle is equal to the sum of the areas of the first two trapezoids minus

    the area of the third trapezoid. So,

    If the vertices do not occur in the order or if the vertex is not

    above the line segment connecting the other two vertices, then the formula above

    may yield the negative of the area. So, use and choose the correct sign to give a

    positive area.

    Finding the Area of a Triangle

    Find the area of the triangle whose vertices are

    and

    SOLUTION

    It is not necessary to know the relative positions of the three vertices. Simply evaluate

    the determinant

    and conclude that the area of the triangle is square units.32

    12|124 023 111| 5 232

    s4, 3d.s2, 2d,s1, 0d,

    sx3, y3dx1 # x3 # x2

    512|x1x2x3 y1y2y3 111|.

    512sx1y2 1 x2y3 1 x3y1 2 x1y3 2 x2y1 2 x3y2d

    Area 512sy1 1 y3dsx3 2 x1d 1

    12sy3 1 y2dsx2 2 x3d 2

    12sy1 1 y2dsx2 2 x1d

    Trapezoid 3: sx1, 0d, sx1, y1d, sx2, y2d, sx2, 0d.Trapezoid 2: sx3, 0d, sx3, y3d, sx2, y2d, sx2, 0dTrapezoid 1: sx1, 0d, sx1, y1d, sx3, y3d, sx3, 0d

    sx2, y2d,sx1, y1dsx3, y3dx1 # x3 # x2yi > 0.

    xy

    132 Chapter 3 Determinants

    Area of a Triangle in the -Plane

    The area of a triangle with vertices

    and

    is

    where the sign is chosen to give a positive area.sd

    Area 5 12 det3

    x1

    x2

    x3

    y1

    y2

    y3

    1

    1

    14

    sx3, y3dsx1, y1d, sx2, y2d,

    xy

    Figure 3.1

    x

    (x3, y3)

    (x1, y1)

    (x1, 0) (x3, 0) (x2, 0)

    (x2, y2)

    y

  • Suppose the three points in Example 5 had been on the same line. What would have

    happened had you applied the area formula to three such points? The answer is that the

    determinant would have been zero. Consider, for instance, the three collinear points

    and as shown in Figure 3.2. The determinant that yields the area of

    the triangle that has these three points as vertices is

    If three points in the -plane lie on the same line, then the determinant in the formula

    for the area of a triangle is zero. The following generalizes this result.

    The test for collinear points can be adapted to another use. That is, when you are

    given two points in the -plane, you can find an equation of the line passing through

    the two points, as follows.

    Finding an Equation of the Line

    Passing Through Two Points

    Find an equation of the line passing through the two points

    and

    SOLUTION

    Let and Applying the determinant formula for the

    equation of a line produces

    To evaluate this determinant, expand by cofactors in the first row to obtain the following.

    So, an equation of the line is x 2 3y 5 210.

    x 2 3y 1 10 5 0

    xs1d 2 ys3d 1 1s10d 5 0

    x|43 11| 2 y| 221 11| 1 1| 221 43| 5 0| x221 y43 111| 5 0.

    sx2, y2d 5 s21, 3d.sx1, y1d 5 s2, 4d

    s21, 3d.s2, 4d

    xy

    xy

    12|024 123 111| 5 0.

    s4, 3d,s2, 2d,s0, 1d,

    3.4 Applications of Determinants 133

    Test for Collinear Points in the -Plane

    Three points and are collinear if and only if

    det3x1

    x2

    x3

    y1

    y2

    y3

    1

    1

    14 5 0.

    sx3, y3dsx2, y2d,sx1, y1d,

    xy

    Two-Point Form of the Equation of a Line

    An equation of the line passing through the distinct points and

    is given by

    det3x

    x1

    x2

    y

    y1

    y2

    1

    14 5 0.1

    sx2, y2dsx1, y1d

    Figure 3.2

    x

    1 2 3 4

    2

    3

    (2, 2)

    (4, 3)

    (0, 1)

    y

  • The formula for the area of a triangle in the plane has a straightforward

    generalization to three-dimensional space, which is presented without proof as follows.

    Finding the Volume of a Tetrahedron

    Find the volume of the tetrahedron whose vertices are

    and as shown in Figure 3.3.

    Figure 3.3

    SOLUTION

    Using the determinant formula for the volume of a tetrahedron produces

    So, the volume of the tetrahedron is 12 cubic units.

    If four points in three-dimensional space lie in the same plane, then the determinant

    in the formula for the volume of a tetrahedron is zero. So, you have the following test.

    5 212. 16|0432 4052 1025 1111| 5 16s272d

    yx

    (4, 0, 0)

    (2, 2, 5)

    (3, 5, 2)

    (0, 4, 1)

    5

    55

    z

    s2, 2, 5d,s3, 5, 2d,s4, 0, 0d,s0, 4, 1d,

    134 Chapter 3 Determinants

    Test for Coplanar Points in Space

    Four points and are coplanar

    if and only if

    det3x1

    x2

    x3

    x4

    y1

    y2

    y3

    y4

    z1

    z2

    z3

    z4

    1

    1

    1

    14 5 0.

    sx4, y4, z4dsx3, y3, z3d,sx2, y2, z2d,sx1, y1, z1d,

    Volume of a Tetrahedron

    The volume of a tetrahedron with vertices

    and is

    where the sign is chosen to give a positive volume.sd

    Volume 5 16 det3

    x1

    x2

    x3

    x4

    y1

    y2

    y3

    y4

    z1

    z2

    z3

    z4

    1

    1

    1

    14

    sx4, y4, z4dsx3, y3, z3d,sx2, y2, z2d,sx1, y1, z1d,

  • An adaptation of this test is the determinant form of an equation of a plane passing

    through three points in space, as follows.

    Finding an Equation of the Plane

    Passing Through Three Points

    Find an equation of the plane passing through the three points

    and

    SOLUTION

    Using the determinant form of the equation of a plane produces

    To evaluate this determinant, subtract the fourth column from the second column to obtain

    Now, expanding by cofactors in the second row yields

    This produces the equation 4x 2 3y 1 5z 5 23.

    xs4d 2 sy 2 1ds3d 1 zs5d 5 0.

    x| 221 21| 2 sy 2 1d|2122 21| 1 z|2122 221| 5 0| x02122 y 2 10221 z021 1111| 5 0.| x02122 y 130 z021 1111| 5 0.s22, 0, 1d.

    s21, 3, 2d,s0, 1, 0d,

    3.4 Applications of Determinants 135

    Three-Point Form of the Equation of a Plane

    An equation of the plane passing through the distinct points

    and is given by

    det3x

    x1x2x3

    y

    y1y2y3

    z

    z1z2z3

    1

    1

    1

    14 5 0.

    sx3, y3, z3dsx2, y2, z2d,sx1, y1, z1d,

    LINEAR ALGEBRA APPLIED

    According to Keplers First Law of Planetary Motion, the

    orbits of the planets are ellipses, with the sun at one focus

    of the ellipse. The general equation of a conic section (such

    as an ellipse) is

    To determine the equation of the orbit of a planet, an

    astronomer can find the coordinates of the planet along its

    orbit at five different points where 2, 3, 4, and

    5, and then use the determinant

    |x2

    x21x22x23x24x25

    xy

    x1y1x2y2x3y3x4y4x5x5

    y2

    y21y22y23y24y25

    x

    x1x2x3x4x5

    y

    y1y2y3y4y5

    1

    1

    1

    1

    1

    1|.i 5 1,sxi, yi d,

    ax2 1 bxy 1 cy2 1 dx 1 ey 1 f 5 0.

    Ralf Juergen Kraft/Shutterstock.com