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ADVANCED CALCULUS & ANALYTICAL GEOMETRY (MATB 113) CHAPTER 12 “VECTORS & THE GEOMETRY OF SPACES” .:SYLLABUS CONTENTS:. 12.1 Three-Dimensional Coordinate Systems 12.2 Vectors 12.3 The Dot Product 12.4 The Cross Product 12.5 Lines and Planes in Space 12.6 Cylinders and Quadric Surfaces

Chapter 12 MATB 113

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  • ADVANCED CALCULUS & ANALYTICAL GEOMETRY

    (MATB 113)

    CHAPTER 12

    VECTORS & THE GEOMETRY OF SPACES

    .:SYLLABUS CONTENTS:.

    12.1 Three-Dimensional Coordinate Systems

    12.2 Vectors

    12.3 The Dot Product

    12.4 The Cross Product

    12.5 Lines and Planes in Space

    12.6 Cylinders and Quadric Surfaces

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 2

    12.1 Three Dimensional Coordinate Systems

    Learning Objectives:

    At the end of this topic students should;

    be acquainted with three-dimensional coordinate systems.

    be able to interpret equations and inequalities geometrically.

    be able to find distance and spheres in space.

    be able to find center and radius of a sphere.

    Rectangular Coordinate Systems

    The coordinate axes, taken in pairs, determine three

    coordinate planes: the xy-plane, the xz-plane and the

    yz-plane.

    To each point P in three dimensional space, we can

    assign a triple of real numbers by passing three

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 3

    plane through P and we denote the point P as

    P(a, b, c).

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    Vectors & The Geometry of Spaces 4

    Interpreting Equations and Inequalities

    Geometrically

    In the following examples, we match coordinate

    equations and inequalities with the set of points they

    define in space.

    (a) 0 1x

    (b) 2 , 1z y x

    (c) 0, 0, 0z x y

    (d) 2 2 1, 3x y z

    Distance and Spheres in Space

    The formula for the distance between two points in the

    xy-plane extends to points in space.

    The Distance Between ),,( 1111 zyxP and ),,( 2222 zyxP is

    2

    12

    2

    12

    2

    1221 )()()( zzyyxxPP

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    Vectors & The Geometry of Spaces 5

    We can use the distance formula to write equations for

    spheres in space.

    The Standard Equation for the Sphere of Radius a and

    Center ),,( 000 zyx

    2 2 2 2

    0 0 0( ) ( ) ( )x x y y z z a

    ___________________________________________

    Example 12.1.1 .:

    a) Find the distance between (3, 4, 5) and (5, 3, 1).

    b) Show that the graph of the equation

    0364222 yxzyx is a sphere, and find

    its center and radius.

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    Vectors & The Geometry of Spaces 6

    12.2 Vectors

    Learning Objectives:

    At the end of this topic students should;

    be acquainted with the definition of vector and the associated notation

    and terminology.

    be able to represent vectors geometrically as directed line segments or

    algebraically as ordered pairs or triples of numbers.

    be able to determine the length of a vector.

    be able to apply the vector addition and scalar multiplication.

    understand the definitions of unit vectors and be able to apply the

    definition in terms of finding a vectors direction.

    Component Form

    A quantity such as force, displacement or

    velocity is called a vector and is represented by

    a directed line segment.

    The arrow points in the direction of the action

    and its length gives the magnitude of the action

    in terms of a suitably chosen unit.

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    Vectors & The Geometry of Spaces 7

    For example, a force vector points in the

    direction in which the force acts while its length

    is a measure of the forces strength.

    Definition:(Vector, Initial and Terminal Point, Length)

    A vector in the plane is a directed line segment.

    The directed line segment

    AB has initial point A and

    terminal point B. Its length is denoted by

    AB . Two

    vectors are equal if they have same length and

    direction.

    .B terminal point

    AB A. Initial point

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 8

    Vectors are usually written in lowercase and

    boldface letters( u, v and w).

    In handwritten form, it is customary to draw

    small arrows above or below the letters

    (

    u and ~v ).

    Definition:(Component Form)

    If v is a two-dimensional vector in the plane equal to the

    vector with initial point at the origin and terminal point

    (v1, v2), then the component form of v is

    21,vvv

    If v is a three-dimensional vector in the plane equal to

    the vector with initial point at the origin and terminal

    point (v1, v2, v3), then the component form of v is

    321 ,, vvvv

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    Vectors & The Geometry of Spaces 9

    Norm of a Vector

    The distance between the initial and terminal points

    of a vector v is called the length, the norm, or the

    magnitude of v and is denoted by v or v .

    The distance does not change if the vector is

    translated, so purposes of calculating the norm we

    can assume that the vector is positioned with its

    initial point at the origin.

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    Vectors & The Geometry of Spaces 10

    The magnitude or length of the vector 21,vvv in

    two-dimensional space is,

    1 2

    2 2v v v

    while, for the vector 321 ,, vvvv in three-

    dimensional space, the magnitude is,

    1 2 3

    2 2 22 2 2

    2 1 2 1 2 1v v v x x y y z z v

    Example 12.2.1:

    Given a vector with initial point P(-3, 4, 1) and

    terminal point Q(-5, 2, 2).Find,

    a) the component form of the vector,

    b) the length of the vector.

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    Vectors & The Geometry of Spaces 11

    Vector Algebra Operations

    Two principal operations involving vectors are

    vector addition and scalar multiplication.

    A scalar is simply a real number, and is called

    such when we want to draw attention to its

    difference from vectors. Scalar can be positive,

    negative or zero.

    Definition:(Vector Addition and Scalar Multiplication)

    Let 321 ,, uuuu and 321 ,, vvvv be vectors with

    k a scalar.

    Addition : 1 1 2 2 3 3, ,u v u v u v u v

    Scalar multiplication: 1 2 3, ,k ku ku ku u

    The definition of a vector addition is illustrated

    geometrically for planar vectors like in the

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    Vectors & The Geometry of Spaces 12

    figure below, where the initial of one vector is

    placed at the terminal point of the other.

    Another interpretation is shown like in the

    figure below, where the sum, called the

    resultant vector, is the diagonal of the

    parallelogram.

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    Vectors & The Geometry of Spaces 13

    Example 12.2.2:

    Let 3, 2 u and 2,5 v . Find the component

    form and the magnitude of the vector

    a) 2 v b) 2 3u v

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    Vectors & The Geometry of Spaces 14

    Example 12.2.3:

    Copy vectors u, v and w head to tail as needed to

    sketch the indicated vector.

    u w

    v

    a) vu b) wvu

    c) vu d) vu

    Properties of vector Operations

    Let u,v,w be vectors and a, b are scalars

    1. u + v = v + u 2. (u + v) + w = u + (v + w)

    3. u + 0 = u 4. u + (-u) = 0

    5. 0u = 0 6. 1u = u

    7. a (b u) = (ab) u 8. a (u + v) = a u + a v

    9. (a + b) u = a u + b u

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    Vectors & The Geometry of Spaces 15

    Unit Vectors

    A unit vector is a vector of magnitude 1.

    The vectors i, j and k are unit vectors.

    The standard unit vectors are

    1,0,0 , 0,1,0 , i j and 0,0,1k

    Whenever 0v , then the unit vector u that has the

    same direction as v is

    v

    uv

    Note : If 321 ,, uuuu , then 1 2 3u u u u i j k

    Example 12.2.4:

    Find the unit vector u that has same direction as the

    vector 3i-4j.

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    Vectors & The Geometry of Spaces 16

    Vectors Determined by Length and a Vector in the

    Same Direction

    It is a common problem in many applications that

    a direction in 2-space or 3-space is determined by

    some known unit vector u, and it is of interest to

    find the components of a vector v that has the

    same direction as u and some specified length v .

    This can be done by expressing v as

    uvv

    v is equal to its length times a unit vector in the same direction

    and reading off the components of uv .

    Example 12.2.5:

    a) Find the vector with the same direction and one-

    half the magnitude of 4i-6j.

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    Vectors & The Geometry of Spaces 17

    b) Find the unit vector with the direction opposite

    to -3i+4j.

    c) Find the unit vector that makes an angle

    3 / 4 with the positive x- axis.

    Write your answer in the component form.

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    Vectors & The Geometry of Spaces 18

    Midpoint of a Line Segment

    Vectors are often useful in geometry. For example,

    the coordinates of the midpoint of a line segments

    are found by averaging.

    The midpoint M of the line segment joining points

    ),,( 1111 zyxP and ),,( 2222 zyxP is the point,

    2,

    2,

    2

    212121 zzyyxx

    Example 12.2.6:

    Find the midpoint of the line segment from (2,-3,6) to

    (3,4,-2).

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    Vectors & The Geometry of Spaces 19

    12.3 The Dot Product

    Learning Objectives:

    At the end of this topic students should;

    understand and be able to use the definitions of the dot product to

    measure the length of a vector and the angle between two vectors.

    understand and be able to apply properties of the dot product.

    understand that two vectors are orthogonal /perpendicular if their dot

    product is zero.

    understand be able to determine the projection of a vector a onto a

    vector b.

    be able to use vectors and the dot product in many applications.

    The Dot Product

    The dot product is also known as a scalar product or

    inner product because it is a product of vectors that

    gives a scalar (that is, real number) as a result.

    Definition:(The Dot Product)

    The dot product vu of a vectors 321 ,, uuuu and

    321 ,, vvvv is

    332211 vuvuvu vu

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    Vectors & The Geometry of Spaces 20

    Example 12.3.1

    Find the dot product of kjiu 23 and

    kjiv 24 .

    Example 12.3.2

    If 3,1,4v and 5,2,1w , find the dot

    product, wv .

    Before we can apply the dot product to geometric

    and physical problems, we need to know how it

    behaves algebraically.

    A number of important general properties of the dot

    product are listed in the following table.

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    Vectors & The Geometry of Spaces 21

    Properties of the dot product.

    If u, v and w are vectors in 3 and c is a scalar, then

    Magnitude of a vector 2

    vvv

    Zero Product 0v0

    Commutativity vwwv

    Multiple of a dot product )()()( wvwvwv ccc

    Distributivity wuvuwvu )(

    Angle Between Vectors

    When two nonzero vectors u and v are placed so

    their initial points coincide, they form and angle

    of a measure 0 as shown in figure.

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    Vectors & The Geometry of Spaces 22

    Definition:(Angle Between Vectors)

    The angle between two nonzero vectors

    321 ,, uuuu and 321 ,, vvvv is given by

    1cos

    u v

    u v

    If is the angle two nonzero vectors u and v , then

    (a) is an acute angle if and only if 0vu .

    (b) is an obtuse angle if and only if 0vu

    (c) 090 is a right angle if an only if 0vu

    Example 12.3.3:

    a) Find the angle between kjiu 23 and kiv .

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    Vectors & The Geometry of Spaces 23

    b) Given the triangle ABC with vertices A(4, 1, 2),

    B(3, 4, 5) and C(5, 3, 1). Find the acute angle CAB .

    c) The angle between vector u and v is

    21

    4cos 1 .

    Find the scalar t given that,

    kjiu 236 and kjiv 42 t

    Perpendicular/Orthogonal Vectors

    Definition:(Perpendicular Vectors)

    Two vectors u and v are said to be orthogonal

    (perpendicular) to each other if and only if

    i) at least one of them is a null vector, or

    ii) the angle between them is a right angle

    so that 0vu .

    In other words, the vector u is orthogonal to v

    iff 0vu

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    Vectors & The Geometry of Spaces 24

    Example 12.3.4:

    Determine the value of so that kjiu 2 and

    kjiv 224 are orthogonal.

    Vector Projection

    Wooden block

    1w 2w

    Smooth slope F

    Fig.12.1

    F = the weight of the wooden block

    = 21 ww

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    Vectors & The Geometry of Spaces 25

    Projection and Vector Components

    Definition:(Projection and Vector Components)

    Let u and v be a non-null vectors. If 21 wwu with 1w

    parallel to v , and 2w orthogonal to v , then

    i) 1w is the projection of u onto v or vector component u

    along v , and is labeled as uw vproj1 .

    ii) 12 wuw is the vector component of u

    perpendicular to v .

    Acute Angle

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    Vectors & The Geometry of Spaces 26

    Obtuse Angle

    Fig.12.2: The Vector Projection of u onto v

    Projection Using Dot Product

    Let u and v be a non-null vectors and 1w , 2w be the

    component of u parallel and perpendicular to v , then

    1. v

    v

    vuuw v

    21proj

    (Vector component of u in the direction of v )

    2. uuwuw vproj 12

    (Vector component of u orthogonal to v )

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    Vectors & The Geometry of Spaces 27

    3. v

    vu

    v

    vuuuv

    cosproj

    (Scalar component of u in the direction of v )

    Example 12.3.5:

    Given the points A(2, 2, 3), B(-1, 5, 4) and C(3, -5, 1).

    Find the projection vector

    AB in the direction

    AC .

    Example 12.3.6:

    Given 2 2 u i j k and 2 10 11 v i j k . Find the scalar

    component of u in the direction of v .

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    Vectors & The Geometry of Spaces 28

    Work done by a Force as a Scalar Product

    W = (force x displacement)

    Fd

    If F makes an angle with the direction of the motion

    of the particle, then the definition of work done is

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    Vectors & The Geometry of Spaces 29

    Example 12.3.7:

    A person pulls a wagon along level ground by exerting a

    force of 20 pounds on a handle that makes an angle of

    030 with the horizontal. Find the work done in pulling

    the wagon100 feet.

    How to write u as a vector parallel to v plus a vector

    orthogonal to v

    u = projvu + (u projvu)

    =

    v

    v

    vuuv

    v

    vu22

    ..

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    Vectors & The Geometry of Spaces 30

    12.4 The Cross Product

    Learning Objectives:

    At the end of this topic students should;

    understand and be able to use the definitions of the cross product to find

    vectors that orthogonal to each other.

    understand that two vectors are parallel if and only if their cross product

    is zero.

    understand and be able to apply properties of the cross product.

    be able to use vectors and the cross product in many applications.

    The Cross Product

    We start with two nonzero vectors u and v in space.

    If u and v are not parallel, they determine a plane.

    We select a unit vector n perpendicular to the plane

    by the right-hand rule.

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    Vectors & The Geometry of Spaces 31

    This means that we choose n to be the unit (normal)

    vector that points the way your right thumb points

    when your finger curl through the angle from u

    to v.

    Unlike the dot product, the cross product is a

    vector.

    For this reason its also called the vector product

    of u and v.

    The vector vu is orthogonal to both of u and v

    because it is a scalar multiple of n.

    Definition: (Cross Product)

    sin u v u v n

    Nonzero vectors u and v are parallel if and only if

    0 vu .

    The vector vu is orthogonal to both u and v

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    Vectors & The Geometry of Spaces 32

    Determinant Formula for vu

    If kjiu 321 uuu and kjiv 321 vvv , then

    1 2 3

    1 2 3

    2 3 1 3 1 2

    2 3 1 3 1 2

    2 3 3 2 1 3 3 1 1 2 2 1( ) ( ) ( )

    u u u

    v v v

    u u u u u u

    v v v v v v

    u v u v u v u v u v u v

    i j k

    u v

    i j k

    i j k

    Example 12.4.1:

    a) If kjia 2 and kjib 2 , calculate ba .

    b) Find the unit vector orthogonal to the vectors

    kjia 4 and kjib 22 .

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    Vectors & The Geometry of Spaces 33

    Properties of the Cross Product

    If u, v and w are vectors in 3 and r, s are scalar, then

    ( ) ( ) ( )r s rs u v u v

    )()()( wuvuwvu

    ( ) v u u v

    ( ) ( ) ( ) v w u v u w u

    0 0 u

    ( ) ( ) ( ) u v w u w v u v w

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    Vectors & The Geometry of Spaces 34

    vu is the Area of a Parallelogram

    Because n is a unit vector, the magnitude of vu is

    sin

    sin

    u v u v n

    u v

    This is the area of the parallelogram determined by u

    and v.

    u be the base of the parallelogram and sinv is the

    height.

    Remarks: If a

    OA and b

    OB , then

    i) the area of the parallelogram OACB is ba

    OBOA.

    ii) the area of the triangle OAB is ba

    2

    1

    2

    1OBOA

    .

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    Vectors & The Geometry of Spaces 35

    Example 12.4.2:

    a) Find the area of parallelogram bounded by the

    vectors kjia 4 and kjib 32 .

    b) Find the area of the triangle with vertices

    P(4, -3, 1), Q(6, -4, 7)and R(1, 2, 2).

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    Vectors & The Geometry of Spaces 36

    Triple Scalar Product or Box Product

    The product wvu )( is called the triple scalar

    product of u, v and w.

    The results of the process is a scalar.

    Geometrically, this product is the volume of the

    parallelepiped determined by three vectors given.

    By treating the planes of v and w and of w and u as

    the base planes of the parallelepiped determined by

    u, v and w, we see that

    vuwuwvwvu )()()(

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    Vectors & The Geometry of Spaces 37

    Since the dot product is commutative, we also have

    )()( wvuwvu .

    Calculating the Triple Scalar Product as a

    Determinant

    The triple scalar product can be evaluated as a

    determinant:

    312212133112332

    321

    321

    321

    )()()(

    )(

    wvuvuwvuvuwvuvu

    vvv

    uuu

    www

    wvu

    Example 12.4.3:

    a) Find the volume of the box(parallelepiped)

    determined by kjiu 2 , kiv 2 and

    kjw 47 .

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    Vectors & The Geometry of Spaces 38

    b) Find the volume of the parallelepiped with adjacent

    edges

    OP ,

    OQ and

    OR where P(1, 3, -2),

    Q(2, 4, 5)and R(-3, -2, 2).

    c) Use the triple scalar products to show that the points

    P(2, 0, 1), Q(3, 2, 0), R(1, -1, 2). and S(5, 4, -2) are

    coplanar.

    (Coplanar = points that lie within the same plane)

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    Vectors & The Geometry of Spaces 39

    Torque

    The torque vector points in the direction of the axis of

    the bolt according to the right-hand rule (clockwise from

    tip of the vector)

    Magnitude of torque vector = sin r F r F

    Let n be the unit vector along the bolt axisin direction of

    the torque, then

    Torque vector = sinr F n

    0 vu when u and v are parallel

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    12.5 Lines and Planes in Space

    Learning Objectives:

    At the end of this topic students should;

    understand and be able to describe lines and planes by using the vector

    concepts of parallel and orthogonal, respectively.

    be able to find an equation of straight line and plane in space.

    be able to calculate angle between two intersecting lines.

    be able to find the shortest distance from a point to a line.

    be able to calculate the angle between two planes.

    be able to find the shortest distance of a point from a plane.

    be able to find the line of intersection of two planes.

    Lines in Space

    In the plane, a line is determined by a point and a

    number giving the slope of the line.

    In space, a line is determined by a point and vector

    giving the direction of the line.

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    Vectors & The Geometry of Spaces 41

    Suppose L is a straight line that passes through the

    point ),,( 0000 zyxP and is parallel to the vector

    kjiv 321 vvv .

    Then, another point P( x, y, z) lies on the L if and

    only if the vectors v and

    PP0 are parallel, that is

    vtPP

    0

    for a real number of t.

    If

    00 OPr and

    OPr are the position vectors of

    the points P0 and P respectively, then

    00 rr

    PP

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    Vectors & The Geometry of Spaces 42

    Hence,

    vr

    vrr

    t

    t

    0

    0

    , (represents the line L)

    We can write the above expression in component

    form as

    321000 ,,,,,, vvvtzyxzyx

    Equating the components and solving for x, y and z

    gives,

    302010 tvzztvyytvxx

    where t is a real number. These are parametric

    equations for the line L, with parameter t.

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    Vectors & The Geometry of Spaces 43

    Parametric Equations for a Line

    The standard parametrization of the line through

    ),,( 0000 zyxP to 1 2 3v v v v i j k is

    0 1 0 2 0 3x x tv y y tv z z tv

    Example 12.5.1:

    a) Write down the parametric equations for the

    straight line passing through point P(2, 3, 5) and

    parallel to 2 v i j k .

    b) Find the parametric equations for the line passing

    through the points P(0, 8, 4) and Q(2, 4, 5).

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    Vectors & The Geometry of Spaces 44

    Example 12.5.2:

    a) Find the parametric equations for the line L

    through P(5, -2, 4) that is parallel to

    3

    2,2,

    2

    1a .

    b) Where does L intersect the xy-plane?

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    Vectors & The Geometry of Spaces 45

    The Distance from a Point to a Line in Space

    Let P be a point on a line L and let v be a vector

    parallel to L.

    The shortest distance from a point S to the line L is

    given by

    sind PS

    where is the angle between v and vector

    PS .

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    Vectors & The Geometry of Spaces 46

    Since sin

    PSPS vv, therefore we have the

    shortest distance of S from line L as

    sind PS

    PS

    v

    v

    Example 12.5.3:

    a) Find the shortest distance from the point

    S(1, 0, -1) to the line,

    tztytxL 21132:

    b) Find the shortest distance from the point

    S(5, 2, -1) to the line : (2 3 )L t r i i j k

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    Vectors & The Geometry of Spaces 47

    Plane in Space

    Suppose that M is a plane, where on it lies a point

    ),,( 0000 zyxP with its position vectors

    0000 ,, zyxr .

    Let P( x, y, z) be any point on M with its position

    vectors zyx ,,r .

    So, the vector

    00000 ,, zzyyxxPP rr

    lies on M.

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    Vectors & The Geometry of Spaces 48

    If kjin cba is a non-null vector orthogonal to

    M, then n is orthogonal to

    PP0 , that is,

    0)()()(

    0,,,,

    0

    000

    000

    0

    zzcyybxxa

    cbazzyyxx

    PP n

    Equations for a Plane

    The plane through ),,( 0000 zyxP normal to

    kjin cba has,

    Vector Equation : 00

    PPn

    Component Equation :

    0 0 0( ) ( ) ( ) 0A x x B y y C z z

    Component Equation Simplified: Ax By Cz D ,

    where 0 0 0D Ax By Cz

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    Example 12.5.4:

    a) Find the equation of a plane that contains the point

    P(5, -2, 4) and the normal vector 1,2,3n .

    b) Find the equation of the plane that contains of the

    points P(-1, 2, 1), Q(0, -3, 2) and R(1, 1, -4).

    c) Find the equation of the plane that is

    perpendicular to plane 0 zyx and

    042 zyx and passing through the point

    (4, 0, -2).

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    Vectors & The Geometry of Spaces 50

    Lines of Intersection

    When a Plane M1 intersects another Plane M2, we

    obtain a line L.

    The coordinates of every points on the line L will

    satisfy the equations of both these planes.

    To obtain the equation of the line of intersection of

    two planes, we need

    a) a vector parallel to the line L which is given

    by 21 nn .

    b) A point ),,( 000 zyx on the line L that can be

    chosen by solving the equations of the planes.

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    Vectors & The Geometry of Spaces 51

    If cba ,,21 nn , then the equation of the line L

    in a parametric form is given by

    0 1 0 2 0 3x x tv y y tv z z tv

    Example 12.5.5:

    Find the equation of a line that passes through (-1,2,3)

    and is parallel to the line of intersection between the

    planes 323 zyx and 52 zyx .

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    Vectors & The Geometry of Spaces 52

    The Distance from a Point to a Plane

    If P is a point on a plane with normal n, then the

    distance from any point S to the plane is the length of

    the vector projection of PS

    onto n. That is, the

    distance from S to the plane is

    d PS

    n

    n

    where )A B C n i j k is normal to the plane .

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    Vectors & The Geometry of Spaces 53

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 54

    Angle Between Planes

    The angle between two intersecting planes is

    defined to be the angle between their normal vectors

    .

    The angle between plane M1 intersects another plane

    M2 is equal to the angle between normal vector n1

    and n2. If is the acute angle between the two

    planes, then

    1 1 2

    1 2

    cos

    n n

    n n

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    Vectors & The Geometry of Spaces 55

    In here we conclude that,

    i) the angle between two intersecting planes is the

    angle between the normal vectors to the planes.

    ii) Two planes are parallel if and only if 21 nn ,

    for a certain .

    iii) Two planes are orthogonal if and only if

    021 nn .

    Example 12.5.6:

    a) Find the angle between the planes 2 zyx

    and 342 zyx .

    b) Show that the planes 532 zyx and

    2396 zyx are parallel.

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    Vectors & The Geometry of Spaces 56

    12.6 Cylinders and Quadric Surfaces

    Recall :

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 57

    Cylinders

    A cylinder is a surface that is generated by moving a

    straight line along a given planar curve while

    holding the line parallel to a given fixed line.

    The curve is called a generating curve for the

    cylinder.

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    Vectors & The Geometry of Spaces 58

    In solid geometry, where cylinder means circular

    cylinder, the generating curve are circles, but now

    we allow generating curves of any kind.

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    Vectors & The Geometry of Spaces 59

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 60

    Quadric Surfaces

    A quadric surface is the graph in space of a second-

    degree equation in x, y and z.

    The most general form is,

    0222 KJzHyGxFxzEyzDxyCzByAx

    The basic quadric surfaces are ellipsoid, paraboloid,

    cones and hyperboloids.

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    Vectors & The Geometry of Spaces 61

    Ellipsoid

    The equation

    12

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x

    is an ellipsoid and its graph is as shown below

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    Vectors & The Geometry of Spaces 62

    Some traces of the ellipsoid 12

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x is shown

    in table,

    Traces Equation of Trace Graph

    xy-trace 12

    2

    2

    2

    b

    y

    a

    x Ellipse

    xz-trace 12

    2

    2

    2

    c

    z

    a

    x Ellipse

    yz-trace 12

    2

    2

    2

    c

    z

    b

    y Ellipse

    If a = b = c, then the equation reduces to

    2222 azyx and it is a sphere of radius a.

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    Vectors & The Geometry of Spaces 63

    Example 12.6.1:

    Sketch the graphs of each question in three dimensions.

    a) 2xy b) 9

    22 zx c) 922 xy

    Example 12.6.2:

    Sketch the surfaces in three dimensional.

    a) 99222 zyx

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    Vectors & The Geometry of Spaces 64

    Hyperboloid of One Sheet

    The equation

    12

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x

    is a hyperboloid of one sheet and its graph is as shown

    below,

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 65

    Some traces of the hyperboloid of one sheet

    12

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x is shown in table below,

    Traces Equation of Trace Graph

    xy-trace 12

    2

    2

    2

    b

    y

    a

    x Ellipse

    xz-trace 12

    2

    2

    2

    c

    z

    a

    x Hyperbola

    yz-trace 12

    2

    2

    2

    c

    z

    b

    y Hyperbola

    Example 12.6.3:

    Sketch the surfaces in three dimensional.

    a) 1222 zyx

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    Vectors & The Geometry of Spaces 66

    Hyperboloid of Two Sheets

    The equation

    12

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x

    is a hyperboloid of two sheets and its graph is as

    shown below :

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 67

    Some traces of the hyperboloid of two sheets

    12

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x is shown in table below,

    Traces Equation of Trace Graph

    xy-trace 12

    2

    2

    2

    b

    y

    a

    x No graph

    xz-trace 12

    2

    2

    2

    c

    z

    a

    x Hyperbola

    yz-trace 12

    2

    2

    2

    c

    z

    b

    y Hyperbola

    Example 12.6.4:

    Sketch the graph of the equations in three dimensional.

    a) 99222 zxy

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    Vectors & The Geometry of Spaces 68

    Cone

    The equation

    02

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x

    is a double cone and its graph is as shown in figure,

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 69

    Some traces of the cone 02

    2

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x is shown in

    table below :

    Traces Equation of Trace Graph

    xy-trace 02

    2

    2

    2

    b

    y

    a

    x The origin

    xz-trace 02

    2

    2

    2

    c

    z

    a

    x The lines

    xa

    cz

    yz-trace 02

    2

    2

    2

    c

    z

    b

    y The lines

    yb

    cz

    The axis of the cone is the z-axis. The trace in a

    plane 0zz parallel to the xy-plane had the equation

    2

    2

    0

    2

    2

    2

    2

    c

    z

    b

    y

    a

    x

    Example 12.6.5:

    Sketch the graph of the equations in three dimensional.

    a) 2 2 24x y z

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    Vectors & The Geometry of Spaces 70

    Paraboloid

    The equation

    0,2

    2

    2

    2

    cczb

    y

    a

    x

    is a paraboloid and its graph is as shown in the

    following figure,

    Some traces of the paraboloid czb

    y

    a

    x

    2

    2

    2

    2

    is

    shown in following table :

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 71

    Traces Equation of

    Trace Graph

    xy-trace 12

    2

    2

    2

    b

    y

    a

    x Ellipse

    xz-trace 2

    2

    cz x

    a Parabola

    yz-trace 2

    2

    cz y

    b Parabola

    The traces in planes parallel to the xy-planes

    02

    2

    2

    2

    czb

    y

    a

    x

    are ellipses.

    The axis of the paraboloid is z-axis and its vertex is

    the origin.

    If c < 0, then the paraboloid opens downward.

    If a = b, then the paraboloid is called circular

    paraboloid, and traces in planes parallel to the xy-

    planes are circles.

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    Vectors & The Geometry of Spaces 72

    Example 12.6.6:

    Sketch the graph of the equations in three dimensional.

    a) zyx 22 4

    A Saddle Point (Hyperbolic Paraboloid)

    The equation

    0,2

    2

    2

    2

    cczb

    y

    a

    x

    is a hyperbolic paraboloid and its graph is as shown in

    the following figure :

  • Advanced Calculus & Analytical Geometry ~ MATB 113

    Vectors & The Geometry of Spaces 73

    A hyperbolic paraboloid is the most difficult

    quadric surface to visualize. The trace in the

    xy-plane with the equation

    02

    2

    2

    2

    b

    y

    a

    x or xa

    by

    is a pair of intersecting line through the origin.

    The xz-trace is the parabola

    2

    2

    xcz

    a

    which assumes maximum value at the origin,

    whereas the yz-trace is the parabola

    2

    2

    ycz

    b

    which assumes minimum value at the origin.

    Example 12.6.7:

    Sketch the graph of the equations in three dimensional.

    a) zxy 22