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    Dr. Wang Xingbo

    Fall 2005

    Mathematical & Mechanical

    Method in Mechanical Engineering

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    Functional and Calculus of Variation

    Introduction to Calculus of Variations

    P=(a,y(a))

    Q=(b,y(b))

    Find the shortest curve connecting P= (a, y(a))and Q= (b, y(b)) in XY plane

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    Introduction to Calculus of Variations

    dxxyb

    a

    2)]('[1

    The problem is to minimize the above integral

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    A function like J is actually called a functional . y(x)

    is call a permissible function

    Introduction to Calculus of Variations

    dxxyxyxFxyJb

    a

    ))('),(,()]([

    A functional can have more general form

    ))('),(,()]([ xyxyxfxyJ

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    We will only focus on functional with integral

    Introduction to Calculus of Variations

    A increment ofy(x) is called variation of y(x),

    denoted as y(x)

    P

    variation ofy(x):y(x)

    y(x)

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    Introduction to Calculus of Variations

    If [y(x),y(x)] is a infinitesimal of y(x), then L is calledvariation ofJ[y(x)] with the first order, or simply variation of

    J[y(x)],denoted by J[y(x)]

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    Introduction to Calculus of Variations

    )()( ydx

    d

    dx

    dy

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    Introduction to Calculus of Variations

    2 J=(J), , kJ=(k-1J)

    (J1+ J2)= J1+J2

    (J1J

    2)= J

    1J

    2+ J

    2J

    1

    (J1/J2)=( J2J1- J1J2)/J22

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    Rules for functionalJandF

    Introduction to Calculus of Variations

    ( , , ') ( , , ')b b

    a aJ F x y y dx F x y y dx

    ''

    F FJ F y yy y

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    If J[y(x)] reaches its maximum (or

    minimum) at y0(x), then J[y0(x)]=0.

    Introduction to Calculus of Variations

    Let Jbe a functional defined onC2[a,b] with J[y(x)] given by

    dxxyxyxFxyJb

    a

    ))('),(,()]([

    How do we determine the curve y(x)

    which produces such a minimum

    (maximum) value forJ?

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    Introduction to Calculus of Variations

    dxxyxyxFxyJb

    a ))('),(,()]([

    ( ) 0'

    F d Fy dx y

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    Let M(x)be a continuous function on the interval[a,b],

    Suppose that for any continuous function h(x)withh(a) = h(b) = 0we have

    Fundamental principle of variations

    Then M(x) is identically zero on [a, b]

    b

    a

    dxxhxM 0)()(

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    choose h(x) = -M(x)(x - a)(x - b)

    Then M(x)h(x) 0 on [a, b]

    Fundamental principle of variations

    0 = M(x)h(x) = [M(x)]2[-(x - a)(x - b)]

    M(x)=0

    If the definite integral of a non-negative function is zero

    then the function itself must be zero

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    Example :Prove that the shortest curve connecting

    planar point P and Q is the straight line connected Pand Q

    Introduction to Calculus of Variations

    dxxyLb

    a

    2)]('[1

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    Introduction to Calculus of Variations

    2/32

    2/32

    22

    2

    2/1222

    2'

    ))]('[1(

    )("))]('[1(

    )(")]('[))]('[1(

    )]('[1

    ))]('[1)((")]('[)(")]('[1

    ))]('[1

    )('(0

    xy

    xyxy

    xyxyxy

    xy

    xyxyxyxyxy

    xy

    xy

    dx

    dF

    dx

    dF

    yy

    0)(" xy y(x)=ax+b

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    Beltrami Identity.

    If then the Euler-Lagrange equation isequivalent to:

    0Fx

    ''

    FF y Cy

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    The Brachistochrone Problem

    Introduction to Calculus of Variations

    Find a path that wastes the least time for a bead

    travel from P to Q

    P

    Q

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    Let a curve y(x) that connects P and Q represent the wire

    The Brachistochrone Problem

    b

    a v

    dsxyF )]([

    21 | '( ) | , '( )ds y x dx v y x

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    By Newton's second law we obtain

    The Brachistochrone Problem

    ))()(()]([2

    1 2 xyaymgxvm

    b

    adx

    xyayg

    xyxyF

    ))()((2

    |)('|1)]([

    2

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    Euler-Lagrange Equation

    The Brachistochrone Problem

    Cxgy

    xy

    xy

    xgyxy

    xgy

    xy

    )(

    )(')

    )]('[1

    )(2)(('

    2

    1

    )(2

    )]('[12

    2

    2

    2

    2

    2

    1)())]('[1( k

    gCxyxy

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    The Brachistochrone Problem

    The solution of the above equation is a cycloid

    curve

    )cos1(2

    1)(

    )sin(2

    1)(

    2

    2

    ky

    kx

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    Integration of the Euler-Lagrange Equation

    Case 1. F(x, y, y) = F(x)Case 2. F(x, y, y) = F(y) :Fy(y)=0

    Case 3.F(x, y, y) = F(y) :

    0))(( ' yFdxd

    y CyFy )'(' ' 1y C

    1 2y C x C

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    Integration of the Euler-Lagrange Equation

    Case 4.F(x, y, y) = F(x, y)

    Fy (x, y) = 0 y = f (x)

    Case 5.F(x, y, y) = F(x, y)

    0))(( ' yFdxd

    y 1)',(' CyxFy )1,(' Cxfy

    dtCtfCy )1,(2

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    Integration of the Euler-Lagrange Equation

    Case 6 F(x, y, y) = F(y, y)

    )',()',(' yyFyyFdxd yy

    yy FyFy '''

    )'('")''( ''' yyy FyFyFy

    '"'' yy FyFyF

    ')''( ' FFy y

    CFFy y ''

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    The Euler-Lagrange Equation of Variational

    Notation

    b

    aFdxJ

    '' yy FyyFF

    b

    adxyyxF 0)',,(

    b

    ayy dxyyxFyyyxyF 0))',,(')',,(( '

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    The Lagrange Multiplier Method for the Calculus

    of Variations

    dxxyxyxFxyJb

    a ))('),(,()]([

    ldxxyxyxGb

    a ))('),(,( BbyAay )(,)(Conditions

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    The minimize problem of following functional is

    equal to the conditional ones.

    The Lagrange Multiplier Method for the Calculus

    of Variations

    where is chosen that y(a)=A,y(b)=B

    b

    a

    b

    adxxyxyxGdxxyxyxF ))('),(,())('),(,(

    ldxxyxyxGb

    a ))('),(,(

    0)()( '' yyyy GFGFdx

    d

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    Example

    The Lagrange Multiplier Method for the Calculus of Variations

    E-L equation is2

    0 )(][ dyxyyJ 2

    02 3))('(1 dxxyunder

    1)'1

    '(

    2

    y

    y

    dx

    d

    1'1

    '

    2cx

    y

    y

    Leads to

    22 )1(

    )1('

    cx

    cxy

    222

    )1()2(

    cxcy

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    Variation of Multi-unknown functions

    b

    a

    dxxyxyxyxyxFxyxyJ ))('),('),(),(,()](),([ 212121

    0)',',,,( 2121 dxyyyyxFb

    a 0)',',,,( 2121 dxyyyyxF

    b

    a

    0)'( '

    2

    1 dxFyFy ii yi

    b

    ai

    yi

    0}{2

    1

    ' i

    b

    ayyi dxF

    dx

    dFy

    ii

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    The Euler-Lagrange equation for a functionalwith two functionsy1(x),y2(x) are

    Variation of Multi-unknown functions

    2,1,0' iFdx

    dF

    ii yy

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    Higher Derivatives

    b

    a

    dxxyxyxyxFxyJ ))("),('),(,()]([

    0"2

    2

    ' yyy F

    dx

    dF

    dx

    dF

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    What is the shape of a beam which is bent and which is

    clamped so that y (0) =y (1) =y (0) = 0 and y (1) = 1.

    Example

    1

    0

    2)"(][ dxykyJ 0"2

    2

    2

    ydx

    dk

    dcxbxaxy 233 2y x x

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    Class is Over!

    See you!