Scalar Fields

  • Scalar Functions = f(x), f(x,y), f(x,y,z)
  • Think of x,y,z as space (3D)
  • Temperature T(x,y,z), is a scalar field
  • The gradient of a scalar field, is a vector field

Vector Fields

Vector = magnitude and direction

  • Velocity, Acceleration, Force

  • When vectors vary in space, you have a vector field.

  • Each component of a vector field can vary in space, and contains a scalar field.
Important Properties of Vector Fields
  • Every field has the following properties that can be observed/studied/

  • These properties can tell us how a field varies in space

  • Gradience

  • Divergence

  • Curl

  • Divergence is result of dot product, and measures 3 of the three derivatives available

    • Divergence measures the “Flow” of a point. If there’s stuff going in, or stuff going out of a point
  • Curl is the result of cross product, and measures the other 6 of the derivatives available

    • Curl measures the “Rotation or swirl” around a point
    • If in 2D for curl, you must only keep the last term.

Special Cases

a) Conservative When v =∇f (f is the potential function for v)

Some examples of where this can occur:

  • Electrical Force Electrical Potential

  • Magnetic Force Magnetic Potential

  • Gravitational Force Gravatational Potential

This case occurs when the curl = 0