Vector Fields 2D  Contents

In three dimensions, a vector field V can be expressed in terms of the functions p(x,y,z), q(x,y,z), and r(x,y,z) as V(x,y,z) = (p(x,y,z),q(x,y,z),r(x,y,z)).


Conservative Vector Fields 2D  Top of Page  Contents

If a three-dimensional vector field F(p,q,r) is conservative, then py = qx, pz = rx, and qz = ry.


Figure9

[D]

Exercises

  • 1. For each of the following, use the demo to determine whether or not the vector field F is conservative. If it is conservative, find the potential function of F.
    • F = (x, y, z)
    • F = (y - z, x + z, x + 2*y)
    • F = ( 1, 1, z)
    • F = (cos(x), sin(y), arctan(z))
    • F = (x/(x2+y2+z2), y/(x2+y2+z2), z/(x2+y2+z2))
    • F = ( 0, 0, -9.8)
  • 2. In the 2-Variable lab on conservative fields, you have the option of plotting a surface that represents a function whose gradient is the vector field. Why will that not work for 3 variables? What could be used instead?



  • Path Integrals in Three-Space 2D  Top of Page  Contents

    If c(t) = (x(t),y(t),z(t)) is a path in three-space and f(x,y,z) is function defined over c, then the path integral of f along c is given by c f(x,y,z) ds = ∫abf(x(t),y(t),z(t))s'(t)dt. where s'(t) = √(x'(t)2 + y'(t)2 + z'(t)2).


    Figure2

    [D]

    Exercises

  • 1. While path integrals can be carried out in two-space and three-space, they could still be considered to be part of single variable calculus. Why is this?
  • 2. Find the arc length of the curve (cos(t), sin(t), sin(2t)), 0 ≤ t ≤ 2π.

  • Circulation 2D  Top of Page  Contents

    Figure4

    [D]

    Curl 2D  Top of Page  Contents

    The curl of a three-dimensional vector field V(x,y,z) is defined as curl V = ∇ × V = (ry-qz, pz-rx, qx-py).

    If a three-dimensional vector field F(p,q,r) is conservative, then its curl is identically zero.

    FIgure16

    [D]

    Flux 2D  Top of Page  Contents


    Figure5

    [D]



    Divergence 2D  Top of Page  Contents

    The divergence of a three-dimensional vector field V(x,y,z) is defined as div V = ∇ · V = px + qy + rz.


    Figure17

    [D]


    Exercises

  • 1. In the divergence and curl demos, enter for V the position function (V(x, y, z) = (x, y, z)). Describe the divergence and curl of this vector field.
  • 2. Describe the divergence and curl of the vector field V(x, y, z) = (-y, x, 0).
  • 3. Find the circulation of the vector fields in 1. and 2. along the unit circle in the xy-plane centered at the origin.
  • 4. Find the flux of the vector fields in 1. and 2. across each of the following surfaces:
    • The sphere of radius 1 centered the origin.
    • The sphere of radius 2 centered the origin.
    • The cylinder of radius 1 given by x2 + y2 = 1.
    • The plane z = 1.


  • Stokes' Theorem for Function Graphs 2D  Top of Page  Contents

    Stokes' Theorem states that for some vector field F and oriented surface S with boundary curve s,

    ∫∫Scurl F ⋅ dS = ∫s+F ⋅ ds. ("+" indicates that the direction of travel, projected onto the x-y plane, is counterclockwise when viewed from above)

    Figure18

    [D]


    Surface Integrals over Function Graphs  2D  Top of Page  Contents

    The surface integral of a function f(x, y, z) over the function graph S of a function g(x, y) for some domain D is defined as follows:

    ∫∫Sf(x, y, z)dS = ∫∫Df(x, y, g(x, y))√(1 + gx2 + gy2)dxdy

    Figure10

    [D]


    Exercises

  • 1. Find the surface area of the graph of g(x, y) = x2 + y2, 0 ≤ x ≤ 1, 0 ≤ y ≤ 1.
  • 2. Evaluate

    ∫∫D(x + y + g(x, y))sqrt(1 + gx2 + gy2)dxdy

    where g(x, y) = xy and D is defined such that 0 ≤ x ≤ 1, 0 ≤ y ≤ 1.


  • The surface integral of the vector field F(x, y, z) over the surface g(x, y) for some domain D is given by this expression:

    ∫∫DF(x,y,g(x,y))⋅(-gx(x,y),-gy(x,y),1)dxdy.

    Figure11

    [D]


    Gauss' Divergence Theorem for Regions between Function Graphs  2D Top of Page  Contents

    According to Gauss' Divergence Theorem,

    ∫∫∫W(div F)dV = ∫∫∂WFndS.

    for some region W in 3-space and its boundary ∂W.

    Figure19

    [D]

    Exercises

  • Having seen Green's Theorem applied to divergence in the plane and Gauss' Divergence Theorem, can you make any conjectures regarding divergence in 4 or more dimensions?