7
212 Chapter 4 Vector Spaces 4.8 Applications of Vector Spaces Use the Wronskian to test a set of solutions of a linear homogeneous differential equation for linear independence. Identify and sketch the graph of a conic section and perform a rotation of axes. LINEAR DIFFERENTIAL EQUATIONS (CALCULUS) A linear differential equation of order is of the form where and are functions of with a common domain. If then the equation is homogeneous. Otherwise it is nonhomogeneous. A function is called a solution of the linear differential equation if the equation is satisfied when and its first derivatives are substituted into the equation. A Second-Order Linear Differential Equation Show that both and are solutions of the second-order linear differential equation SOLUTION For the function you have and So, which means that is a solution of the differential equation. Similarly, for you have and This implies that So, is also a solution of the linear differential equation. There are two important observations you can make about Example 1. The first is that in the vector space of all twice differentiable functions defined on the entire real line, the two solutions and are linearly independent. This means that the only solution of that is valid for all is The second observation is that every linear combination of and is also a solution of the linear differential equation. To see this, let Then Substituting into the differential equation produces So, is a solution. The next theorem, which is stated without proof, generalizes these observations. y = C 1 e x + C 2 e -x y - y = C 1 e x + C 2 e -x - C 1 e x + C 2 e -x = 0. y - y = 0 y = C 1 e x + C 2 e -x . y' = C 1 e x - C 2 e -x y = C 1 e x + C 2 e -x y = C 1 y 1 + C 2 y 2 . y 2 y 1 C 1 = C 2 = 0. x C 1 y 1 + C 2 y 2 = 0 y 2 = e -x y 1 = e x C - , y 2 = e -x y 2 - y 2 = e -x - e -x = 0. y 2 = e -x . y 2 ' =-e -x y 2 = e -x , y 1 = e x y 1 - y 1 = e x - e x = 0 y 1 = e x . y 1 ' = e x y 1 = e x , y - y = 0. y 2 = e -x y 1 = e x n y y f x = 0, x f g 0 , g 1 , . . . , g n -1 y n + g n -1 xy n -1 + . . . + g 1 xy' + g 0 xy = f x n

Applications in Ch4

Embed Size (px)

DESCRIPTION

app

Citation preview

  • 212 Chapter 4 Vector Spaces

    4.8 Applications of Vector Spaces

    Use the Wronskian to test a set of solutions of a linear

    homogeneous differential equation for linear independence.

    Identify and sketch the graph of a conic section and perform a

    rotation of axes.

    LINEAR DIFFERENTIAL EQUATIONS (CALCULUS)

    A linear differential equation of order is of the form

    where and are functions of with a common domain. If then the equation is homogeneous. Otherwise it is nonhomogeneous. A function iscalled a solution of the linear differential equation if the equation is satisfied when and its first derivatives are substituted into the equation.

    A Second-Order Linear Differential Equation

    Show that both and are solutions of the second-order linear differential equation

    SOLUTION

    For the function you have and So,

    which means that is a solution of the differential equation. Similarly, foryou have

    and

    This implies that

    So, is also a solution of the linear differential equation.

    There are two important observations you can make about Example 1. The first isthat in the vector space of all twice differentiable functions defined on theentire real line, the two solutions and are linearly independent. Thismeans that the only solution of

    that is valid for all is The second observation is that every linear combination of and is also a solution of the linear differential equation. To see this,let Then

    Substituting into the differential equation produces

    So, is a solution.The next theorem, which is stated without proof, generalizes these observations.y 5 C1e x 1 C2e2xy0 2 y 5 sC1e x 1 C2e2xd 2 sC1e x 1 C2e2xd 5 0.

    y0 2 y 5 0

    y0 5 C1e x 1 C2e2x. y9 5 C1e x 2 C2e2x y 5 C1ex 1 C2e2x

    y 5 C1y1 1 C2y2.y2y1

    C1 5 C2 5 0.x

    C1y1 1 C2y2 5 0

    y2 5 e2xy1 5 e xC0 s2`, `d

    y2 5 e2xy20 2 y2 5 e2x 2 e2x 5 0.

    y20 5 e2x.y29 5 2e2xy2 5 e2x,

    y1 5 e xy10 2 y1 5 e x 2 e x 5 0

    y10 5 e x.y19 5 e xy1 5 ex,

    y0 2 y 5 0.y2 5 e2xy1 5 ex

    n

    yy

    f sxd 5 0,xfg0, g1, . . . , gn21ysnd 1 gn21sxdysn21d 1 . . . 1 g1sxdy9 1 g0sxdy 5 fsxd

    n

  • In light of the preceding theorem, you can see the importance of being able todetermine whether a set of solutions is linearly independent. Before describing a wayof testing for linear independence, you are given the following preliminary definition.

    Finding the Wronskian of a Set of Functions

    a. The Wronskian of the set is

    b. The Wronskian of the set is

    The Wronskian in part (a) of Example 2 is said to be identically equal to zero,because it is zero for any value of The Wronskian in part (b) is not identically equalto zero because values of exist for which this Wronskian is nonzero.

    The next theorem shows how the Wronskian of a set of functions can be used totest for linear independence.

    The proof of this theorem for the case where is left as an exercise. (See Exercise 40.)n 5 2

    x

    x.

    W 5 |x10 x22x2 x33x26x| 5 2x 3.Hx, x 2, x 3J

    W 5 |1 2 x210 1 1 x10 2 2 x210| 5 0.H1 2 x, 1 1 x, 2 2 xJ

    4.8 Applications of Vector Spaces 213

    REMARKThe Wronskian of a set of

    functions is named after the

    Polish mathematician Josef

    Maria Wronski (17781853).

    REMARKThis test does not apply to an

    arbitrary set of functions. Each

    of the functions

    and must be a solution of

    the same linear homogeneous

    differential equation of order n.

    yn

    y1, y2, . . . ,

    REMARKThe solution

    is called the general solution of

    the given differential equation.

    C1y1 1 C2y2 1. . . 1 Cnyny 5

    Solutions of a Linear Homogeneous Differential Equation

    Every th-order linear homogeneous differential equation

    has linearly independent solutions. Moreover, if is a set oflinearly independent solutions, then every solution is of the form

    where are real numbers.CnC1, C2, . . . ,

    y 5 C1y1 1 C2y2 1 . . . 1 Cnyn

    Hy1, y2, . . . , ynJn

    y snd 1 gn21sxdy sn21d 1 . . . 1 g1sxdy9 1 g0sxdy 5 0

    n

    Definition of the Wronskian of a Set of Functions

    Let be a set of functions, each of which has derivativeson an interval The determinant

    is called the Wronskian of the given set of functions.

    Ws y1, y2, . . . , ynd 5 | y1y19...y1sn21d y2y29...y2sn21d . . .. . .. . . ynyn9...ynsn21d|I.

    n 2 1Hy1, y2, . . . , ynJ

    Wronskian Test for Linear Independence

    Let be a set of solutions of an th-order linear homogeneousdifferential equation. This set is linearly independent if and only if theWronskian is not identically equal to zero.

    nnHy1, y2, . . . , ynJ

  • Testing a Set of Solutions for Linear Independence

    Determine whether is a set of linearly independent solutions of the linear homogeneous differential equation

    SOLUTION

    Begin by observing that each of the functions is a solution of (Try checking this.) Next, testing for linear independence produces the Wronskian of thethree functions, as follows.

    Because is not identically equal to zero, the set

    is linearly independent. Moreover, because this set consists of three linearly independent solutions of a third-order linear homogeneous differential equation, thegeneral solution is

    where and are real numbers.

    Testing a Set of Solutions for Linear Independence

    Determine whether is a set of linearly independent solutions of thelinear homogeneous differential equation

    SOLUTION

    As in Example 3, begin by verifying that each of the functions is actually a solution of (This verification is left to you.) Testing for linear independence produces the Wronskian of the three functions, as follows.

    So, the set is linearly dependent.

    In Example 4, the Wronskian is used to determine that the set

    is linearly dependent. Another way to determine the linear dependence of this set is toobserve that the third function is a linear combination of the first two. That is,

    Try showing that a different set, forms a linearly independent set ofsolutions of the differential equation

    y999 2 3y0 1 3y9 2 y 5 0.

    He x, xe x, x2e xJ,

    sx 1 1de x 5 e x 1 xe x.

    He x, xe x, sx 1 1de xJ

    He x, xe x, sx 1 1de xJ

    5 0 W 5 |e xe xe x xe xsx 1 1de xsx 1 2de x sx 1 1de xsx 1 2de xsx 1 3de x|y999 2 3y0 1 3y9 2 y 5 0.

    y999 2 3y0 1 3y9 2 y 5 0.

    He x, xe x, sx 1 1de xJ

    C3C1, C2,

    y 5 C1 1 C2 cos x 1 C3 sin x

    H1, cos x, sin xJ

    W

    5 1 5 sin2 x 1 cos2 x

    W 5 |100 cos x2sin x2cos x sin xcos x2sin x|y999 1 y9 5 0.

    y999 1 y9 5 0.

    H1, cos x, sin xJ

    214 Chapter 4 Vector Spaces

  • CONIC SECTIONS AND ROTATION

    Every conic section in the -plane has an equation that can be written in the form

    Identifying the graph of this equation is fairly simple as long as the coefficient of the-term, is zero. When is zero, the conic axes are parallel to the coordinate axes, and

    the identification is accomplished by writing the equation in standard (completedsquare) form. The standard forms of the equations of the four basic conics are given in the following summary. For circles, ellipses, and hyperbolas, the point is thecenter. For parabolas, the point is the vertex.sh, kd

    sh, kd

    bxyb,

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

    4.8 Applications of Vector Spaces 215

    Standard Forms of Equations of Conics

    Circle

    Ellipse

    Hyperbola

    Parabola

    x

    Focus( + )h p, k

    Vertex( , )h k

    p > 0

    ( ) = 4 ( )y k p x h 2

    y

    Focus(h, k + p)

    Vertex(h, k)

    p > 0

    (x h)2 = 4p(y k)x

    y

    sp 5 directed distance from vertex to focus):

    (y k)2 (x h)2 = 1

    x

    y

    2

    2

    (h, k)

    2 2

    (x h)2 (y k)2 = 1

    x

    y

    2

    2

    2

    (h, k)

    2

    s2a 5 transverse axis length, 2b 5 conjugate axis lengthd:

    (x h)2 (y k)2+ = 1

    x

    y2

    (h, k) 2

    2

    2

    x

    (x h)2 (y k)22 2+ = 1

    y

    (h, k)

    2

    2

    s2a 5 major axis length, 2b 5 minor axis lengthd:sx 2 hd2 1 sy 2 kd2 5 r 2sr 5 radiusd:

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

  • Identifying Conic Sections

    a. The standard form of is

    The graph of this equation is a parabola with the vertex at The axisof the parabola is vertical. Because the focus is the point Finally,because the focus lies below the vertex, the parabola opens downward, as shown in Figure 4.20(a).

    b. The standard form of is

    The graph of this equation is an ellipse with its center at The majoraxis is horizontal, and its length is The length of the minor axis is The vertices of this ellipse occur at and and the endpoints of theminor axis occur at and as shown in Figure 4.20(b).

    a. b.

    Figure 4.20

    The equations of the conics in Example 5 have no -term. Consequently, the axesof the graphs of these conics are parallel to the coordinate axes. For second-degreeequations that have an -term, the axes of the graphs of the corresponding conics arenot parallel to the coordinate axes. In such cases it is helpful to rotate the standard axes to form a new -axis and -axis. The required rotation angle (measured counterclockwise) is With this rotation, the standard basis for

    is rotated to form the new basis

    as shown in Figure 4.21.

    Figure 4.21

    To find the coordinates of a point relative to this new basis, you can use atransition matrix, as demonstrated in Example 6.

    sx, yd

    y'

    x

    x'

    (cos , sin )(sin , cos )

    (0, 1)

    (1, 0)

    y

    B9 5 Hscos u, sin ud, s2sin u, cos udJ

    B 5 Hs1, 0d, s0, 1dJR2,cot 2u 5 sa 2 cdyb.

    uy9x9

    xy

    xy

    5 4 3 2 1

    1

    2

    3

    x

    (3, 2)

    (3, 1)(1, 1)(5, 1)

    (3, 0)

    y

    (x + 3)24

    (y 1)21+ = 1

    2 2 3 4

    3

    2

    1

    1

    x

    (1, 1)(1, 0)Focus

    y

    (x 1)2 = 4(1)( y 1)

    s23, 0d,s23, 2ds21, 1d,s25, 1d

    2b 5 2.2a 5 4.sh, kd 5 s23, 1d.

    sx 1 3d24

    1sy 2 1d2

    15 1.

    x2 1 4y2 1 6x 2 8y 1 9 5 0

    s1, 0d.p 5 21,sh, kd 5 s1, 1d.

    sx 2 1d2 5 4s21dsy 2 1d.

    x2 2 2x 1 4y 2 3 5 0

    216 Chapter 4 Vector Spaces

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWangIf b is nonzero, it is helpful for identifying the graph of a conic section by rotating the coordinate axes such that the conic section is parallel to the new axes

  • A Transition Matrix for Rotation in

    Find the coordinates of a point in relative to the basis

    SOLUTION

    By Theorem 4.21 you have

    Because is the standard basis for is represented by You can use theformula given in Section 2.3 (page 66) for the inverse of a matrix to find This results in

    By letting be the coordinates of relative to you can use the transitionmatrix as follows.

    The - and -coordinates are and

    The last two equations in Example 6 give the -coordinates in terms of the -coordinates. To perform a rotation of axes for a general second-degree equation, it is

    helpful to express the -coordinates in terms of the -coordinates. To do this, solvethe last two equations in Example 6 for and to obtain

    and

    Substituting these expressions for and into the given second-degree equation produces a second-degree equation in and that has no -term.

    The proof of the above result is left to you. (See Exercise 82.)

    x9y9y9x9yx

    y 5 x9 sin u 1 y9 cos u.x 5 x9 cos u 2 y9 sin u

    yxx9y9xy

    xyx9y9

    y9 5 2x sin u 1 y cos u. x9 5 x cos u 1 y sin uy9x9

    3 cos u2sin usin ucos u4 3

    x

    y4 5 3x9

    y94P21

    B9,sx, ydsx9, y9d

    fI P21g 5 3100 1

    cos u

    2sin u sin ucos u4.

    sB9d21.2 3 2sB9d21.P21R2,B

    fB9 Bg 5 3cos usin u2sin u

    cos u

    10

    014.

    B9 5 Hscos u, sin ud, s2sin u, cos udJ.

    R2sx, yd

    R2

    4.8 Applications of Vector Spaces 217

    LINEAR ALGEBRA APPLIED

    A satellite dish is an antenna that is designed to transmit

    or receive signals of a specific type. A standard satellite

    dish consists of a bowl-shaped surface and a feed horn

    that is aimed toward the surface. The bowl-shaped surface

    is typically in the shape of an elliptic paraboloid. (See

    Section 7.4.) The cross section of the surface is typically

    in the shape of a rotated parabola.

    Rotation of Axes

    The general second-degree equation canbe written in the form

    by rotating the coordinate axes counterclockwise through the angle where is defined by The coefficients of the new equation are obtainedfrom the substitutions

    and y 5 x9 sin u 1 y9 cos u. x 5 x9 cos u 2 y9 sin u

    cot 2u 5a 2 c

    b.

    uu,

    a9sx9d2 1 c9sy9d2 1 d9x9 1 e9y9 1 f9 5 0

    ax 2 1 bxy 1 cy2 1 dx 1 ey 1 f 5 0

    Chris H. Galbraith/Shutterstock.com

    JYWangtarget basis

    JYWangoriginal basis

    JYWang

    JYWang[B'|B] [I | P^(-1)] vs.[B'| I] [I | B'^(-1)]

    JYWangP^(-1) * [v]_B = [v]_B'

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

  • Example 7 demonstrates how to identify the graph of a second-degree equation byrotating the coordinate axes.

    Rotation of a Conic Section

    Perform a rotation of axes to eliminate the -term in

    and sketch the graph of the resulting equation in the -plane.

    SOLUTION

    The angle of rotation is given by

    This implies that So,

    and

    By substituting

    and

    into the original equation and simplifying, you obtain

    Finally, by completing the square, you find the standard form of this equation to be

    which is the equation of an ellipse, as shown in Figure 4.22.

    In Example 7 the new (rotated) basis for is

    and the coordinates of the vertices of the ellipse relative to are

    and

    To find the coordinates of the vertices relative to the standard basisuse the equations

    and

    to obtain and as shown in Figure 4.22.s2!2, 0d,s23!2, 22!2d

    y 51!2

    sx9 1 y9 d

    x 51!2

    sx9 2 y9 d

    B 5 Hs1, 0d, s0, 1dJ,

    32114.325

    14B9

    B9 5 51 1!2, 1!22, 12

    1!2

    ,

    1!226

    R2

    sx9 1 3d222

    1sy9 2 1d2

    125

    sx9 1 3d24

    1sy9 2 1d2

    15 1

    sx9 d2 1 4sy9 d2 1 6x9 2 8y9 1 9 5 0.

    y 5 x9 sin u 1 y9 cos u 51!2

    sx9 1 y9d

    x 5 x9 cos u 2 y9 sin u 51!2

    sx9 2 y9d

    cos u 51!2

    .sin u 51!2

    u 5 py4.

    cot 2u 5a 2 c

    b5

    5 2 526

    5 0.

    x9y9

    5x2 2 6xy 1 5y2 1 14!2x 2 2!2y 1 18 5 0

    xy

    218 Chapter 4 Vector Spaces

    Figure 4.22

    5 4

    4

    3

    2

    1

    2y'

    x'

    x

    ( 2, 0)

    (3 2, 2 2)

    = 45

    y

    (x' + 3)24

    (y' 1)21+ = 1

    JYWang

    JYWang

    JYWang

    JYWang

    JYWang

    JYWangTwo vertex points on the major axis in the new basis

    JYWang

    JYWangTwo vertex points on the major axis in the original basis