Class 4 - Vector Calculus v1

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    AOE 5104 Class 4 9/4/08

    Online presentations for todays class: Vector Algebra and Calculus 2 and 3

    Vector Algebra and Calculus Crib

    Homework 1

    Homework 2 due 9/11

    Study group assignments have been made andare online.

    Recitations will be Mondays @ 5:30pm (with Nathan Alexander) in

    Randolph 221

    Tuesdays @ 5pm (with Chris Rock) in Whitemore 349

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    I have added the slides without numbers. The numbered slides are the

    original file.

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    Last Class

    Changes in Unit

    Vectors

    Calculus w.r.t. time

    Integral calculus w.r.t.space

    Today: differential

    calculus in 3D

    P

    P'

    er

    e

    ez

    d

    r

    z

    rdd ee ee dd r

    0zde

    dtdtdt

    ttt

    ttt

    ttt

    BABA

    BABABA

    BAB

    ABA

    BABA

    .

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    Oliver Heaviside

    1850-1925

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    Shock in a CD Nozzle

    Bourgoing & Benay (2005), ONERA, France Schlieren visualizationSensitive to in-plane index of ref. gradient

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    In 1-D

    0S

    1grad lim dS

    n

    In 3-D

    Differential Calculus w.r.t. Space

    Definitions ofdiv, gradand curl

    0S

    1div lim . dS

    D D n

    0

    S

    1curl lim dS

    D D n

    Elemental volumewith surface S

    n

    dS

    D=D(r), = (r) x 0

    1lim ( ) ( )

    dff x x f x

    dx x

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    ndS

    (large)

    Gradient

    0S

    1grad lim dS

    n

    dS

    n

    Elemental volume

    with surface S

    ndS

    (small)

    ndS

    (medium)

    ndS

    (medium)

    = magnitude and direction of the slope in the scalar field at a point

    ResultingndS

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    Review

    S

    0 dS

    1Limgrad n

    Gradient

    Magnitude and direction

    of the slope in the scalar

    field at a point

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    Gradient

    Component of gradient is the partial derivative

    in the direction of that component

    Fouriers Law of Heat Conduction

    ss

    .e

    n.Tkn

    Tkq

    ss e,

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    zyxdxdydz

    zdxdydz

    ydxdydz

    x

    kjikji

    n

    1Lim

    dS

    1Limgrad

    0

    S

    0

    Face 2

    Differential form of the Gradient

    S0

    dS

    1Limgrad n

    Cartesian system

    dy

    dx

    dz

    j

    ik

    P

    Evaluate integral by expanding the variation in

    about a point Pat the center of an elementalCartesian volume. Consider the twoxfaces:

    = (x,y,z)

    Face 1

    dydzdx

    xFace

    )(2

    dS1

    in

    dydzdxx

    Face

    )(2

    dS2

    in

    adding these gives dxdydzx

    i

    Proceeding in the same way foryand z

    dxdydzy

    j dxdydzz

    kandwe get , so

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    Differential Forms of the Gradient

    These differential forms define the vector operator

    sinsin r

    e

    +r

    e

    +rer

    e

    +r

    e

    +re

    ze+

    r

    e+

    re

    ze+

    r

    e+

    re

    z

    k+

    y

    j+

    x

    i

    z

    k+

    y

    j+

    x

    i

    =grad

    rr

    zrzr

    Cartesian

    Cylindrical

    Spherical

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    , :

    rad where

    Here rad maps a vector, , into another vector, ,and plays the role of a derivative for the vectorfield

    Gradient of a vector V V i j k

    V r r V r V V r r i j k

    V r V

    V i j

    G

    G

    u v w

    d d d d dx dy dz

    d d

    d du dv

    k i j k

    V

    u u u v v v w w wdw dx dy dz dx dy dz dx dy dz

    x y y x y z x y z

    u u u

    x y z

    du dxv v vd dv d

    x y zdw

    w w w

    x y z

    rad

    Some people prefer to use "dyadic" notation, to call rad a dyad, and to write it as follows:

    rad

    V

    V

    V i i i j i k

    G

    G

    G

    u u u

    x y z

    v v vy

    x y zdz

    w w w

    x y z

    u u u

    x y z

    where denotes the so-called dyadic product, which does not have a geometric interpretation. Often is omitted. The

    first base vector indicates the co

    j i j j j k k i k j k kv v v w w w

    x y z x y z

    mponent of being differentiated and the second indicates the direction of the derivative;

    hence, Grad has nine components: three derivatives of each of its three components.

    V

    V

    continued

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    , : ; rad where

    definition:

    rad ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )

    u v w d d d d dx dy dz

    u u u v v v w wd d d d d d d d d

    x y z x y z x y

    Gradient of a vector V V i j k V r r V r V V r r i j k

    V r i i r i j r i k r j i r j j r j k r k i r k j r

    G

    G ( )

    rad

    similarly

    rad ( ) ( ) ( ) ( ) ( ) ( ) (

    wd

    z

    u u u v v v w w wd dx dy dz dx dy dz dx dy dz d

    x y z x y z x y z

    u u u v v v w

    d d d d d d d x y z x y z x

    k k r

    V r i j k V

    r V r i i r i j r i k r j i r j j r j k

    G

    G ) ( ) ( )

    rad rad

    w w

    d d dy z

    u u u v v v w w wd dx dx dy dz d

    x y z x y z x y z

    u v w u v wdx dy dz dx dy dz

    x x x y y y

    r k i r k j r k k

    r V i j k i j k i j k V r

    i j

    G G

    Note: in general

    u v wdx dy dz d

    z z z

    u u u u u u

    x y z x y zdx

    v v v v v vdy dx dy dz

    x y z x y zdz

    w w w w w w

    x y z x y z

    k V

    continued

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    is defined so that it is consistent with the parallelogram law of addition (PLA):

    and

    Addition of dyads

    A C B CT S

    xx xy xz x xx xy xz

    yx yy yz y yx yy yz

    zx zy zz z zx zy z

    T T T C S S S

    T T T C S S S

    T T T C S S S

    according to the PLA , etc.

    where

    R A B

    R A B C C CT S= T S

    T S

    x

    y

    z z

    x x x

    x xx x xy y xz z xx x xy y xz z

    x xx xx x xy xy y xz xz z

    xx xx xy xy xz xz

    yx y

    C

    C

    C

    R A B

    R T C T C T C S C S C S C

    R T S C T S C T S C

    T S T S T S

    T S

    To preserve the parallelogram law of addition, we need to add the corresponding

    components of the dyads.

    x yy yy yz yz

    zx zx zy zy zz zz

    T S T S

    T S T S T S

    continued

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    of rad where denotes velocity

    1 1

    2 2

    1 1

    rad 2 2

    1

    2

    u u v u wu u u

    x y x z xx y z

    v v v u v v v w

    x y z y x y z y

    w w w u w

    x y z z x

    Decomposition V V

    V

    G

    G

    1 10

    2 2

    1 1

    02 2

    1 1 10

    2 2 2

    u v u w

    y x z x

    v u v w

    x y z y

    v w w w u w v

    z y z x z y z

    rad train ot read strain of and rotation of

    train is symmetric, . ot is antisymmetriij jiS S

    V V V V V

    V V

    G St R

    St R c, .

    train has six distinct components. ot has only three distinct components.

    Note:

    Curl

    ij jiR R

    w v u w v u

    x y z y z z x x

    u v w

    V V

    i j k

    V i j

    St R

    01

    and ot 02

    0

    Let represent any vector; then Curl

    01

    ot 02

    0

    z y

    x y z z x

    y x

    x y z x y z z y y z x z z x y x x y

    x y z

    z y

    z x

    y x

    y

    A A A A A A A A A

    A A A

    k i j k V

    i j k

    A i j k V A i j k

    V A

    R

    R1 1

    Curl2 2

    x z y y z

    y x z z x

    z y x x y

    A A A

    A A A

    A A A

    V A

    continued

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    Bv

    AvA

    B

    dr

    and are two points in the same fluid separated

    by the infinitesimal position vector

    rad

    ot train

    1Curl train

    2

    B A A

    A

    A

    A B

    d

    d d

    d d

    d d

    r

    v v v v v r

    v v r v r

    v v r v r

    G

    R S

    S

    :

    1) translation at the velocity

    12) rigid-body rotation at the angular velocity Curl

    2

    : the vector Curl is simultaneously

    we can identify the three components of the motion of a continuum

    v

    v

    note v r

    A

    d to both Curl and ;

    the fact that Curl is to means that this term does not cause

    to change length

    3) deformation given by train

    train

    v r

    v r r

    r

    v r

    v v r v r

    S

    SB A

    d

    d d

    d

    d

    d d

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    using Taylor series and the PLA, we can write

    A B

    B A

    t d d t

    d

    d v r r v

    v v v

    .

    .

    time t

    time t+tA

    A

    B

    Bd

    fluid particle

    moves from

    here

    to here

    duringt

    dr

    d r

    B tv

    A tv

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    0S

    1div lim dS

    V V n

    dS

    n

    Divergence

    Fluid particle, coincident

    with at time t, after time

    thas elapsed.

    = proportionate rate of change of volume of a fluid particle

    Elemental volume

    with surface S

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    Review

    0

    S

    1div lim . dS

    V V n

    Divergence

    For velocity: proportionate

    rate of change of volume

    of a fluid particle

    0

    S

    1grad lim dS

    n

    Gradient

    Magnitude and direction

    of the slope in the scalar

    field at a point

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    Differential Forms of the

    Divergence

    sinsin sin sin

    yx z

    r zr z

    2

    rr2

    divA = A

    AA A+ + i + j + k .Ax y z x y z

    1 1 erA A A+ + + + .Ae e

    r r r z r r z

    1 1 1 eA er A A+ + + + .Aer r r r r r r

    Cartesian

    Cylindrical

    Spherical

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    Differential Forms of the Curl

    sin

    sin

    sin

    r z r

    2

    r z rx y z

    r r ri j e e e e e ek

    1 1curlA = A = = =x y z r r z rr

    A rA A rA rA AA A A

    0S

    1curl lim dS

    A A n

    Cartesian Cylindrical Spherical

    Curl of the veloci ty vectorV =twice the circumferentially averaged angular

    velocity of

    -the flow around a point, or

    -a fluid particle

    =Vort ici tyPure rotation No rotation Rotation

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    Curl

    0S

    1curl lim dS

    V V n

    dS

    n

    e

    nPerimeter Ce

    ds

    h

    dS=dsh

    Area

    radius a

    v avg. tangential

    velocity= twice the avg. angular velocity

    about e

    Elemental volume

    with surface S

    0

    S

    1.curl lim . dS

    e V e V n

    0S

    1.curl lim . dS

    h

    e V V e n

    0S

    1.curl lim . ds h

    h

    e V V e n

    e

    Ce

    0 0

    C

    1.curl lim .d lim

    e V V s

    20 0

    1.curl lim 2 2lim

    a a

    vv a

    a a

    e V

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    Review

    0S

    1div lim . dS

    V V n

    Divergence

    For velocity: proportionate

    rate of change of volume

    of a fluid particle

    0S

    1grad lim dS

    n

    Gradient

    Magnitude and direction

    of the slope in the scalar

    field at a point

    0S

    1curl lim dS

    V V n

    Curl

    For velocity: twice the

    circumferentially averaged

    angular velocity of a fluid

    particle= Vorticity

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    Oliver Heaviside

    1850-1925

    Writes Electromagnetic induction and its propagation over the

    course of two years, re-expressing Maxwell's results in 3(complex) vector form, giving it much of its modern form and

    collecting together the basic set of equations from which

    electromagnetic theory may be derived (often called "Maxwell's

    equations"). In the process, He invents the modern vector

    calculus notation, including the gradient, divergence and curl of a

    vector.

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    Integral Theorems and

    Second Order Operators

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    1st Order Integral Theorems

    Gradient theorem

    Divergence theorem

    Curl theorem

    Stokes theorem

    R S

    dSd n

    R S

    dSd nAA ..

    R S

    dSd nAA

    Volume R

    with Surface S

    d

    ndS

    C

    SSd sAnA d..

    Open Surface S

    with Perimeter CndS

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    The Gradient Theorem

    S

    0 dS

    1Limgrad n

    Finite Volume R

    Surface S

    d

    Begin with the definition of grad:

    Sum over all the d in R:

    R SR i dSgrad nid

    di

    di+1nidS

    ni+1

    dS

    We note that contributions to the

    RHS from internal surfaces between

    elements cancel, and so:

    SR dSgrad ndRecognizing that the summations

    are actually infinite:

    SR

    d dSgrad n

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    Assumptions in Gradient Theorem

    A pure math result, applies to all flows

    However, S must be chosen so that is defined

    throughout R

    SR d dSgrad n

    S

    Submarine

    surface

    SR

    d dSgrad n

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    Flow over a

    finite wing

    S1

    S2

    SR

    pdp dSn

    S = S1 + S2

    R is the volume of fluid

    enclosed between S1

    and S2

    S1

    p is not defined inside the

    wing so the wing itself

    must be excluded from the

    integral

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    1st Order Integral Theorems

    Gradient theorem

    Divergence theorem

    Curl theorem

    Stokes theorem

    R S

    dSd n

    R S

    dSd nAA ..

    R S

    dSd nAA

    Volume R

    with Surface S

    d

    ndS

    C

    SSd sAnA d..

    Open Surface S

    with Perimeter CndS

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    Ce0

    C

    0 Limd.1

    Lim.

    e

    sAAe curl

    Alternative Definition of the Curl

    e

    Perimeter Ce

    ds

    Area

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    Stokes TheoremFinite Surface S

    With Perimeter C

    d

    Begin with the alternative definition of curl, choosing the

    direction e to be the outward normal to the surface n:

    Sum over all the d in S:

    Note that contributions to the RHS

    from internal boundaries between

    elements cancel, and so:

    Since the summations are actually infinite, and

    replacing with the more normal area symbol S:

    eC

    0 d.1

    Lim. sAAn

    di

    SSid

    eCd.. sAAn

    n

    dsi

    dsi+1

    di+1 CS d sAAn d..

    CS

    Sd sAnA d..

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    Stokes Theorem and Velocity

    Apply Stokes Theorem to a velocity field

    Or, in terms of vorticity and circulation

    What about a closed surface?

    CS

    Sd sVnV d..

    C

    CS

    Sd

    sVn d..

    0.

    dS

    S

    n

    CS Sd sAnA d..

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    Assumptions of Stokes Theorem

    A pure math result, applies to all flows

    However, C must be chosen so that A is defined over all S

    CSSd sAnA d..

    2D flow over airfoil with =0

    C?d..

    C

    SSd sVn

    The vorticity doesnt

    imply anything about the

    circulation around C

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    Flow over a finite wing

    C

    SSd sVnV d..

    C

    S

    Wing with circulation must trail vorticity.Always.

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    Vector Operators of Vector

    Products

    B).A(-)A.(B-A).B(+)B.(A=)BA(

    B.A-A.B=)BA.(

    )A(B+)B(A+)A.B(+)B.A(=)B.A(

    A+A=)A(

    A.+A.=)A.(

    +=)(

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    Convective Operator

    )]A.(B-.B)(A+)BA(-

    )A(B-)B(A-)B.A([=

    Bz

    Ay

    Ax

    A=B).A(

    ).(A

    zA

    yA

    xA=

    ).A(

    zyx

    zyx

    21

    .V= change in density in direction ofV, multiplied by magnitude ofV

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    Second Order Operators

    2

    2

    2

    2

    2

    2

    2.zyx

    The Laplacian, may also be

    applied to a vector field.

    0.

    0

    ).(

    ).(

    2

    A

    AAA

    A

    So, any vector differential equation of the form B=0

    can be solved identically by writing B=.

    We say B is i r rotat ional.

    We refer to as the scalar potent ial.

    So, any vector differential equation of the form .B=0

    can be solved identically by writing B=A. We say B is solenoidalorincompress ib le.

    We refer to A as the vector potent ial.

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    Class Exercise

    1. Make up the most complex irrotational 3D velocity field you can.

    2223sin /3)2cos( zyxxyxe x kjiV ?

    We can generate an irrotational field by taking the gradient ofany

    scalar field, since 0

    I got this one by randomly choosing

    zyxe x /132sin

    And computing

    kjiVzyx

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    2nd Order Integral Theorems

    Greens theorem (1st form)

    Greens theorem (2nd form)

    Volume R

    with Surface S

    d

    ndS

    S

    RSd d

    n

    2

    2 2 - dn nR

    S

    d S

    These are both re-expressions of the divergence theorem.