Calculus, Theorems

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    Second Derivatives The gradient, the divergence and the curl are the

    only first derivatives we can make with , by

    applying twice we can construct five speciesof second derivatives.

    The gradient is a vector, so we can take thedivergence and curl of it.

    (1) Divergence of gradient : (Laplacian)(2) Curl of gradient:

    o The divergence is a scalar, so we can take itsgradient.

    (3) Gradient of divergence.o The curl is a vector, so we can take its divergence

    and curl.

    (4) Divergence of a Curl.

    (5) Curl of curl.

    0)( A

    ).( A

    0).( A

    AAA

    2

    ).()(

    AA2

    ).(

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    Integral Calculus

    oLine ( Path) Integrals

    o Surface (Flux) Integrals

    o Volume Integrals

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    Line ( Path) Integrals:

    Let v is a vector function

    dl is the infinitesimal displacement vectorIntegral carried out along a specified path from

    point a to point b gives line or path integral.

    Line integral depends critically on the particular

    path taken from a to b.

    .

    b

    av dl

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    There is a special type of vector which does notdepend on path, but is determined entirely by the end

    points.

    The force which have this property called as

    conservative force.

    If path forms a closed loop i.e. a = b, the integral

    can be written as:

    .v dl

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    Surface (Flux) Integrals:

    Let v is a vector functionda is an infinitesimal patch of area (direction is

    to the surface)

    If v is flow of a fluid (mass per unit area per unit

    time)

    .Sv da: total mass per unit

    time

    passing through

    the surface

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    If the surface is closed:

    oFor closed surface, direction of da is outwardo For open surfaces its arbitrary.

    oSurface integral depends on the particular surfacechosen.

    oThere is a special class of vector function for

    which integral is independent of the surface, and is

    determined entirely by theboundary line.

    .v da

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    Volume Integrals:

    Let T is a scalar function. (may be a vector also)d is an infinitesimal volume element

    ,in Cartesian coordinates: d =dx.dy.dz

    If T is the density of a substance

    : totalmass

    Note: If T is a vector function then unit vectors can

    be taken out from the integral

    v

    Td

    v Td

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    The fundamental theorem of calculus:

    ( ) ( ) ( )

    b b

    a a

    dfdx F x dx f b f adx

    Where df/dx=F(x), we can think f(x) is a function whose

    derivative is F(x)

    and df=(df/dx).dx is the infinitesimal change in f when wego from x to x+dx

    Integral of a derivative over an interval (a to b) is given by

    the value of the function at the end points (boundaries)

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    In vector calculus: three species of derivatives

    oGradient

    oDivergent

    oCurl

    Each has its own fundamental

    theorem

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    The fundamental theorem of Gradient

    o

    Suppose we have a scalarfunction of three variables:

    T(x, y, z)

    o By moving a distance dl1,

    the function T will change

    by an amount:1

    ( ).dT T dl

    o So total change in T in going from a to

    b along the path selected: ( ).

    b

    a

    T dl

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    o Also total change in T by going from a

    to b can be represented by : T b T a

    Or we can write:

    This is called fundamental theorem of Gradient.

    It says The line integral of a derivative (gradient) is

    given by the value of the function at the boundaries.

    ( ). ( ) ( )

    b

    a

    T dl T b T a

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    ( ). ( ) ( )

    b

    a

    T dl T b T a

    Left hand side tells: integral is path dependent

    Right hand side tells: integral is path independent

    (depend only on end points)

    Generally line integrals depend on path taken.

    Note:But Gradients have the special property that

    their integrals are path independent.

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    Ques: If we are choosing a closed path, then change inthe scalar function using Gradient theorem will be:

    ( ).T dl 0

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    The Fundamental Theorem for Divergences

    known as Gauss Divergence Theorem

    o It general interpretation (not complete): Theintegral of a derivative over a region is equal to

    the value of the function at the boundary.

    ( . ) .v Sv d v da

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    oComplete description:

    Derivative is the form of (divergence)

    Region is (volume)

    Boundary is the surface that bounds the volume

    (boundary indicates integral not just the

    difference of two points).

    Note:

    The boundary of a line:

    The boundary of a volume:

    2 end point

    Closed surface

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    Its Geometrical Interpretation:If v: flow of a incompressible fluid

    The flux of v: = total amount of fluid

    passing out through the surface, per unit time

    Applications:

    GausssTheorem can be applied to any vector fieldwhich obeys an inverse-square law, such as

    gravitational, electrostatic attraction, and evenexamples in quantum physics such as probability

    density.

    ( . )v

    v d

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    The fundamental theorem for Curls

    known as Stokes Theorem

    ( ). .S P

    v da v dl

    o It general interpretation (not complete): The

    integral of a derivative over a region is equal to the

    value of the function at the boundary.

    Line integral

    o Note: on the right hand side circle over integral

    indicates perimeter of the surface is closed, not

    the surface itself

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    oComplete description:

    Derivative is the form of (curl)

    Region is (patch of surface)

    Boundary is the perimeter of the patch (due to perimeter

    hereboundary indicates a closed line integral).

    Outcomes:

    1) depends only on the boundary line, not on

    the particular surface used2) =0 for any closed surface, sincefor a closed

    surface, boundary line shrinks down to a point.

    ( ).S v da( ).v da