startsection section10mm-.5 Discussion 32 Riemann Sums on Paths in Space
In our previous discussions, we have used Riemann sums to approximate the total value of a physical quantity over a region in the plane or in space. Now we will turn our attention to the problem of approximating the total value of a function defined on a path in the plane or in space.
We will begin with an example from physics. Let us consider the
charge on an insulated copper wire in the presence of a stationary
electric field. Since the wire is insulated the electric charge, that
is, the free electrons, in the wire cannot leave the wire. However,
since copper is a conductor, the charge will move freely in the wire
in response to the electric field until it reaches an equilibrium
distribution. This distribution can be represented by a charge
density function that is defined on the wire. Generally, the
charge will be unevenly distributed in the wire, so that
will
not be constant. The total charge of the wire is the total
accumulation of the charge density function over the length of the
wire.
We would like to approximate the total charge of the wire. As you might expect, the approximation will take the form of a Riemann sum, thus we will partition the wire, sample the charge density in each cell of the partition, scale these sampled values and sum the scaled values over the cells or the partition. In this case, the Riemann sum will use a parametrization of the curve in space which represents the wire.
The goal of this discussion is to carry our this process, that is, to construct a Riemann sum to approximate the total charge in the wire.
startsection subsection10mm.5 Exercises
Suppose we have a charged wire in space. Let us assume that we can
measure the charge density of the wire at any point and that is
measured in coulombs per centimeter. Finally, let us assume that the
wire is represented by the image of a parametrization
, that is, by the set
startsection section10mm-.5 Discussion 33 Path Independence
We have seen that the line integral of a vector field over a curve
does not depend on the parametrization of the curve, but it does depend
on the direction of motion along the curve. In this discussion, we
will begin to investigate how the line integral of a vector field in
depends on the path. Initially, we will compute a number of
examples of line integrals. We will then compile these results and try
to determine if there are any noticeable patterns in the results. The
goal will be to use these examples to make a conjecture about the
dependence of a line integral on the path.
In each question below, there is a set of three parametrizations of
different paths and a set of three vector fields. In each set of
parametrizations, the functions
and
parametrize different
paths between the same two points and the function
parametrizes
a closed path. In each set of vector fields, the third vector field
is a gradient vector field.
startsection subsection10mm.5 Exercises
For each of the following questions, first describe and sketch the
paths parametrized by the functions
,
, and
, then
compute the line integrals
,
, and
for each vector field
. Your
writeup for each question should consist of your descriptions,
sketches, and the values of the line integrals computed. The values
should be entered on the chart that follows the exercises.
startsection section10mm-.5 Discussion 34 Green's Theorem
In Section 6.3 of the text we introduced Green's Theorem for regions in the plane which are bounded by a piecewise differentiable simple closed curve. The precise statement of Green's Theorem is as follows.
Let be a region in the plane whose boundary
is a
piecewise differentiable simple closed curve that is positively
oriented with respect to
. Let
be a vector field which is defined and continuously
differentiable on a neighborhood containing
and
.
Then
Recall that the positive orientation of the boundary of orients the curve so that the interior of
remains on the
left as you traverse the curve.
In this discussion we will explore an extension of Green's Theorem to regions with more complicated boundaries.
startsection subsection10mm.5 Exercises