Vector Lecture

Embed Size (px)

Citation preview

  • 7/31/2019 Vector Lecture

    1/63

    Scalars , Vectors

    By : A. Hesami

    AdvisorDr. B. Dabir

  • 7/31/2019 Vector Lecture

    2/63

    Physical Quantities

    Physical Quantities can be categorized as : Scalar Quantities ( time, volume, pressure , )

    Vector Quantities ( velocity, force, momentum ,)

    Tensor Quantities ( stress, )

    =

    zzzyzx

    yzyyyx

    xzxyxx

    FTime = 20 Sec

  • 7/31/2019 Vector Lecture

    3/63

    Scalar Quantities

    Scalar Quantity determined only by Magnitude An example is Temperature.

    r nc p es o sca ars ro uct Commutative

    Associative

    Distributive

    rssr =

    )()( srqsrq =

    )()()()( rsqspsrqps ++=++

  • 7/31/2019 Vector Lecture

    4/63

    Vector Quantities

    A vector has both magnitude and direction

    An example is position vector

    Vectors Summation

    Resultant vector Not the sum of the magnitudes

    Vectors add head-to-tail

    R = A + B

    A

    B

    R

  • 7/31/2019 Vector Lecture

    5/63

    Vector Quantities

    Properties of Vector summation Commutative )()( vwwv

    rrrr+=+

    rrrrrr Associative

    Negative of a Vector is the Same in Magnitude

    but in Opposite Direction

    uwvuwv ++=++

    vr

    vr

  • 7/31/2019 Vector Lecture

    6/63

    Vector Quantities

    Vector Multiplication

    Scalar rsr

    Dot

    Cross

    wvrr

    wvrr

  • 7/31/2019 Vector Lecture

    7/63

    Vector Quantities

    Multiplication of Scalar in a Vector Vector Magnitude Multiplied by Scalar , No Changing in

    Direction

    Properties of Product

    Commutative

    Associative

    Distributive

    v v

    svvsrr

    =

    vrsvsrrr

    )()( =

    vsvrvqvsrqrrrr

    ++=++ )(

  • 7/31/2019 Vector Lecture

    8/63

    Vector Quantities

    Dot Productvr

    rr

    cosr

    ( )vrrvrv rr

    rrcos=

    The Result of Dot Product is a SCALAR

    Properties of Dot Product

    Commutative Not Associative

    Distributive

    )()( wvuwvurrrrrr

  • 7/31/2019 Vector Lecture

    9/63

    Vector Quantities

    Cross Product

    vwwv

    wv

    ( ) vwvw nwvwvrrr

    )sin( =

    The Result of Cross Product is a Vector

    Properties of Cross Product

    Not Commutative

    Not Associative

    Distributive

    vwwvrrrr

    wvuwvurrrrrr

    ][][

    ][][][ wvwuwvurrrrrrr

    +=+

  • 7/31/2019 Vector Lecture

    10/63

    Vector Quantities

    Algebraic Representation of Vectorx

    y

    z

    ij

    kxr

    r r

    zyxx ++=

    Unit Vectorsparallel toCoordinateAxis Direction

    Scalar Quantities

    ,, zyxx=

  • 7/31/2019 Vector Lecture

    11/63

    Vector Quantities

    Definition : kronecker delta

    1ij = +

    i j=i f

    Definition : permutation symbol

    ij

    11

    0

    ijk

    ijk

    ijk

    = +=

    =

    ifif

    i

    123, 231, 312

    321,132, 213ijkijk

    =

    =

    Any two index be alike

  • 7/31/2019 Vector Lecture

    12/63

    Vector Quantities

    Properties of kronecker delta andpermutation symbol

    ijk=

    3 3

    1 1

    2ijk hjk ilt j k

    = =

    = 3

    1

    ijk mnk im jn in jm

    k

    =

    =

  • 7/31/2019 Vector Lecture

    13/63

    Vector Quantities

    Suppose , and being the unit vectoralong x , y and z axis

    3

    = =r r r rr

    321

    1i =

    1 1 2 2 3 3

    1 2 2 3 3 1

    1 1 2 2 3 3

    1 2 3

    2 1 3

    ( . ) ( . ) ( . ) 1

    ( . ) ( . ) ( . ) 0

    [ ] [ ] [ ] 0

    [ ] ;

    [ ] ;

    = = =

    = = =

    = = =

    =

    =

    3 1 2

    1 3 2

    [ ]

    [ ]

    =

    =

    ijji =

    =

    =

    3

    1

    ][k

    kijkji

  • 7/31/2019 Vector Lecture

    14/63

    Vector Quantities

    Vector Summation and Subtraction

    ( )i i i i i i ii i i

    v w v w v w = = r r rr r

  • 7/31/2019 Vector Lecture

    15/63

    Vector Quantities

    BBy R = Rxi + Ryj

    Vector Summation

    Ax Bx

    Ay

    Rx= Ax + Bx

    Ry

    =Ay

    A

    B

  • 7/31/2019 Vector Lecture

    16/63

    Vector Quantities

    Algebraic representation of vector multiplications

    Multiplication by scalars

    { }i i i ii i

    sv s v sv

    = =

    r rr

  • 7/31/2019 Vector Lecture

    17/63

    Vector Quantities

    Dot Product

    ( . ) . ( . )i i j j i j i jv w v w v w

    = = r r r rr r

    ij i j i i

    i j i

    v w v w= =

    332211

    332211

    wwww

    vvvv

    ++=

    ++=

    r

    r

  • 7/31/2019 Vector Lecture

    18/63

    Vector Quantities

    Cross Product

    r rr rj j k k

    j kv w v v=

    [ ]j k j k ijk i j kj k i j k

    v w v w = = r r r

  • 7/31/2019 Vector Lecture

    19/63

    Tensor Quantities

    In 3D Domain a tensor is determined by 9component

    =

    zzzyzx

    yzyyyx

    xzxyxx

  • 7/31/2019 Vector Lecture

    20/63

    x

    y

    zTensor Quantities

    1F 2F

    Each of the six faces has a direction.For example, this faceand this face

    are normal to the y direction

    A force acting on any face can act in the x, y and z directions.

  • 7/31/2019 Vector Lecture

    21/63

    x

    y

    z

    yy yz

    yx

    Tensor Quantities

    The face is in the direction y.

    The force per unit face area acting in the x direction on that face is thestress yx (first face, second stress).

    The forces per unit face area acting in the y and z directions on thatface are the stresses yy and yz.

    Here yy is a normal stress (acts normal, or perpendicular to the face)

    and yx and yz are shear stresses (act parallel to the face)

  • 7/31/2019 Vector Lecture

    22/63

  • 7/31/2019 Vector Lecture

    23/63

    Tensor Quantities

    Algebraic representation of Tensors Definition : Dyad (Pairs of Unit Vectors)

    jirr

    1 1 11 1 2 12 1 3 13 = + +r r r r r rr

    2 1 2 1 2 2 2 2 2 3 2 3

    3 1 3 1 3 2 3 2 3 3 3 3

    + + +

    + + +

    r r r r r r

    r r r r r r

    3 3

    1 1i j ij

    i j

    = =

    =

    r r

  • 7/31/2019 Vector Lecture

    24/63

    Tensor Quantities

    Dyad Mathematical Operations Definition

    ( ) ( ) ( ): . .i j k l j k i l j k i l = =r r r r r r r r

    r r r r r r r

    ( )

    { } ( )

    { }

    { }

    3

    1

    . .

    . .

    . .

    i j k i j k i j k

    i j k i j k i j k

    i j k l i j k l j k i l

    i j k i j k j k l i l

    l

    i j k i j

    =

    = =

    = =

    = =

    = =

    =

    r r r r r r r

    r r r r r r r r r r

    r r r r r r r r

    r r r r r r 3

    1

    k i j k l k

    l

    =

    = r r

  • 7/31/2019 Vector Lecture

    25/63

    Tensor Quantities

    Summation

    ( )i j ij i j ij i j ij iji j i j i j

    + = + = + r r r r r rr r

    Multiplication by a Scalar

    { }i j ij i j iji j i j

    s s s = = r r r rr

  • 7/31/2019 Vector Lecture

    26/63

    Tensor Quantities

    Scalar Product ( Double Dot )

    ( ): : :i i k l kl i k l i kl

    = = r r r r r r r rr r

    The Result is Scalar

    i j k l i j k l

    il jk ij kl ij ij

    i j k l i j

    = =

  • 7/31/2019 Vector Lecture

    27/63

    Tensor Quantities

    Dot Product

    { } {. . .i j ij k l kl i j k l ij kl

    = = r r r r r r r rr r

    The Result is Tensor

    i j k l i j k l

    jk i j ij kl i l ij jl

    i j k l i l j

    = =

    r r r r

  • 7/31/2019 Vector Lecture

    28/63

    Tensor Quantities

    Dot product of Tensor and Vectors

    [ ]. . .i j ij k k i j k ij k v v v = =

    r r r r r rr r

    The Result is Vector

    i jk ij k i ij j

    i j k i j

    v v

    = =

    r r

  • 7/31/2019 Vector Lecture

    29/63

    Tensor Quantities

    Cross product of two tensors

    r r r r r rr r

    The result is tensor

    i j ij k k i j k ij k

    i j k i j k

    jkl i l ij k i l jkl ij k

    i j k l i l j k

    v v

    = =

    r r r r

  • 7/31/2019 Vector Lecture

    30/63

    Tensor Quantities

    Tensor + Tensor Tensor Scalar * Tensor Tensor

    Tensor . Tensor Tensor

    Vector . Tensor Vector

    Tensor x Tensor Tensor

  • 7/31/2019 Vector Lecture

    31/63

    Tensor , Vector , Scalar

    Order of Multiplication Scalars can be assumed as

    zero order Tensors

    Vectors can be assumed as

    Product Type Result order

    No sign

    Cross -1

    first order Tensors

    Dot -2Double Dot -4

    = Sum of orders

    Scalarwv =+ 02)11(rr

  • 7/31/2019 Vector Lecture

    32/63

    Differential Operations

    Del Operator

    r

    1 2 3 i

    = + + =r r r rr

    = Unit Vectors = Cartesian Axis

    Del Operator can applied on Scalars , Vectors or

    Tensors quantities

    1 2 3i

    i

    x x x x

    i

    r

    321,, xxx

  • 7/31/2019 Vector Lecture

    33/63

    Differential Operations

    Del Operation on 3D Scalar Filed ( Gradient )

    1 2 3

    1 2 3

    i

    i i

    s s s ss

    x x x x

    = + + =

    r r r rr

    Properties of Gradient

    ( ) ( )

    ( )

    s s

    r s rs

    r s r s

    + = +

    r r

    r r

    r r r

  • 7/31/2019 Vector Lecture

    34/63

    Differential Operations

    Z is scalar Function of x , y

    XY

    Z

  • 7/31/2019 Vector Lecture

    35/63

    Differential Operations

    0>

    x

    z

    0z

    Gradient Tell what is the Path of greatest Growth

    XY

    Z

  • 7/31/2019 Vector Lecture

    36/63

    Differential Operations

    Dot Product of Del and vector Field (divergence)

    ( ) . ( . )i j j i j ji j i ji i

    v v vx x

    = =

    r r r rr r

    Properties of Divergence

    iij j

    i j ii i

    vvx x

    = =

    r

    ( . ) ( . )

    ( . ) ( . )

    ( .{ }) ( . ) ( . )

    v v

    sv s v

    v w v w

    + = +

    r rr r

    r rr r

    r r rr r r r

  • 7/31/2019 Vector Lecture

    37/63

    Differential Operations

    Physical Interpretation of Divergence

    U xdxduU + )(

    AUVx =&

    ))(( xdx

    du

    UAV xx+=

    +

    &

    ))(())((dx

    dudv

    dx

    duxAVV xxx ==+

    &&

  • 7/31/2019 Vector Lecture

    38/63

    Differential Operations

    Summing the rate of Volume change

    ))((z

    u

    y

    u

    x

    udvChangeVolofRate z

    yx

    +

    +

    =

    ))(( udv =

    nContractioFluiduif

    ExpansionFluiduif

    0

    0

  • 7/31/2019 Vector Lecture

    39/63

    Differential Operations Cross Product of Del and Vector ( Curl )

    [ ] j k kj kj

    v vx

    =

    r rr r

    r r r

    j k k ijk i k

    j k i j kj j

    v v

    x x

    = =

    1 2 3

    1 2 3

    1 2 3

    x x x

    v v v

    =

    r r r

    3 32 1 2 1

    1 2 3

    2 3 3 1 1 2

    v vv v v v

    x x x x x x

    = + +

    r r r

  • 7/31/2019 Vector Lecture

    40/63

    Differential Operations

    Curl is a Vector Operator that shows a vectorfield rate of rotation

    Curl Can be described as Circulation Density

    A vector field which has zero curl everywhere is

    called irrotational

  • 7/31/2019 Vector Lecture

    41/63

    Differential Operations

    Del Operation on Vector Field

    = =

    r r r rr r

    The Result is Tensor

    i j j i j j

    i j i ji ix x

  • 7/31/2019 Vector Lecture

    42/63

    Differential Operation

    ( . ) ( . ) ( . )

    ( . [ ] ) ( . [ ] ) ( . [ ] )

    [ ] [ ] [ ]

    r s r s s r

    s v s v s v

    v w w v v w

    s v s v s v

    = +

    = +

    =

    = +

    r r r

    r r rr r r

    r r rr r r r r r

    r r rr r r

    r r r r r rr r r. .

    1[ . ] ( . ) [ [ ] ]

    2

    [ . ] [ . ] ( . )

    (

    v v v

    v v v v v v

    v w v w w v

    =

    =

    = +

    r r rr r r r r r

    r r rr r r r r r

    : ) ( . )[ . ]

    [ . ] [ . ] [ . ]

    ( . ) [ ( ) . ] [ ( ) . ]

    s v s vs s

    s s s

    v w v w w v

    = =

    = +

    = +

    r r rr r

    rr r

    r r rr r r

    r r rr r r r r r

  • 7/31/2019 Vector Lecture

    43/63

    The Gauss DivergenceThe Gauss DivergenceTheoremTheorem If V represent a Volume , enclosed by

    Surface S then

    n represent the normal unit vector on S

    ( . ) ( . )V S

    v dV n v dS =rr r

  • 7/31/2019 Vector Lecture

    44/63

    The Gauss Divergence TheoremThe Gauss Divergence Theorem

    There are two similar theorem for scalarsand tensors

    r

    [ . ] [ . ]

    V S

    V S

    s ns

    dV n dS

    =

    =

    r rr r

  • 7/31/2019 Vector Lecture

    45/63

    The Stockes Curl TheoremThe Stockes Curl Theorem

    If S represent a Surface enclosed by curve C then

    dcvtdsvn = ).()).((rrrr n

    r

    n represent the normal unit vector

    t represent the tangent unit vector on C in integration direction

    s c

    c

    Vr

  • 7/31/2019 Vector Lecture

    46/63

    The Stockes Curl TheoremThe Stockes Curl Theorem

    Stockes theorem Tell Us that :all line integral in z plane must vanish dlv

    r

    for the field

    Because

    jxiyv +=r

    0=

    v

    r

  • 7/31/2019 Vector Lecture

    47/63

    Leibniz Formula

    If S represent the scalar filed of position andtime then

    ( . )sV V S

    d ssdV dV s v n dS

    dt t

    = +

    rr

  • 7/31/2019 Vector Lecture

    48/63

    Cylindrical Coordinate

    Cylindrical Coordinate RepresentationzP

    x

    y

    z

    r

    ),,( zr

  • 7/31/2019 Vector Lecture

    49/63

    Cylindrical Coordinate

    Cartesian and Cylindrical Coordinate Systemrelate as follow

    2 2

    siny r

    z z

    r x y

    z z

    =

    =

    = +

    =

  • 7/31/2019 Vector Lecture

    50/63

    Cylindrical Coordinate

    Using chain rule the derivatives can transferredfrom Cartesian to Cylindrical coordinate system

    ( )

    (cos ) (0)

    cos(sin ) (0)

    (0) 0 (1)

    x r r z

    y r r z

    z r z

    = + +

    = + +

    = + +

  • 7/31/2019 Vector Lecture

    51/63

    Cylindrical Coordinate

    Unit Vectors inCylindrical Coordinate

    (cos ) (sin ) (0)

    ( sin ) (cos ) (0)

    (0) (0) (1)

    r x y z

    x y z

    z x y z

    = + +

    = + +

    = + +

    r r r r

    r r r r

    r r r r

    y r

    x

    ( , , ) ( , , )P x y z or P r z

    y

    r

    xr

    r

    r

    (cos ) ( sin ) (0)

    (sin ) (cos ) (0)

    (0) (0) (1)

    x r z

    y r z

    z r z

    = + +

    = + +

    = + +

    r r r r

    r r r r

    r r r r

  • 7/31/2019 Vector Lecture

    52/63

    Cylindrical Coordinate

    Differential Operations

    r r r

    0

    0 0 0

    r z

    r r z

    r z

    r r r

    z z z

    = = =

    = = =

    r r r r r

    r r r

  • 7/31/2019 Vector Lecture

    53/63

    Cylindrical Coordinate

    2r

    rrrrr

    ===

    dd

    d

    rrrr 120lim)(

    1r

  • 7/31/2019 Vector Lecture

    54/63

    Cylindrical Coordinate

    Del Operator in Cylindrical Coordinate

    x y zx y z

    = + +

    r r rr

    ( )

    ( )

    sin

    cos sin cos

    cossin cos sin

    r

    r z

    r r

    r r z

    =

    + + + +

    r r

    r r r

    1r z

    r r z

    = + +

    r r rr

  • 7/31/2019 Vector Lecture

    55/63

    Cylindrical Coordinate

    Integration

    dddrrdV =

    V dVzrf ),,(

  • 7/31/2019 Vector Lecture

    56/63

    Spherical Coordinate

    Spherical Coordinate Representationz

    Pr

    x

    y),,(

  • 7/31/2019 Vector Lecture

    57/63

    Spherical Coordinate

    Cartesian and Spherical Coordinate Systemrelate as follow

    sin cosx r =

    ( )( )

    2 2 2

    2 2

    sin sincos

    arctan

    arctan

    y rz r

    r x y z

    x y z

    y x

    =

    =

    = + +

    = +

    =

  • 7/31/2019 Vector Lecture

    58/63

    Spherical Coordinate

    Using chain rule the derivatives can transferredfrom Cartesian to Spherical coordinate system

    ( )

    cos cos s n

    (sin cos ) sin

    cos sin cos(sin sin )

    sin

    sincos (0)

    x r r r

    y r r r

    z r r

    = + +

    = + +

    = + +

  • 7/31/2019 Vector Lecture

    59/63

    Spherical Coordinate

    Differential Operation

    = = =

    r r r

    0

    sin cos sin cos

    r

    r r

    r r

    r r r

    = = =

    = = =

    r r r r r

    r r r r r r r

  • 7/31/2019 Vector Lecture

    60/63

    Spherical Coordinate

    Unit Vector in Spherical Coordinate

    (sin cos ) (sin sin ) (cos )r x y z = + +r r r r

    r r r r

    ( ) ( )sin cos (0)

    x y z

    x y z

    = + +r r r r

    ( )

    ( )

    ( ) ( )

    (sin cos ) (cos cos ) sin

    (sin sin ) (cos sin ) cos

    cos sin (0)

    x r

    y r

    z r

    = + +

    = + +

    = + +

    r r r r

    r r r r

    r r r r

  • 7/31/2019 Vector Lecture

    61/63

    Spherical Coordinate

    Del Operator in Spherical Coordinate

    1 1

    sinr

    r r r

    = + +

    r r rr

  • 7/31/2019 Vector Lecture

    62/63

    Spherical Coordinate

    Integration))()()()((sin drdrdrdV =

    ))()()((sin2 drddr =

    vdVrf ),,(

  • 7/31/2019 Vector Lecture

    63/63

    End