The Special Cartesian Limits.
For the Cartesian
coordinate form of a complex function
,
it is important to determine how the function values change as we
move along the horizontal grid line
at
the point
,
and how the function values change as we move along the vertical grid
line
at
the point
.
We investigate
these two approaches: a horizontal approach and a vertical approach
to
. Recall
from our graphical
analysis of
in
Example 2.12, in Section
2.2, that the image of a
square is a "curvilinear quadrilateral" and the
images of the horizontal and vertical edges are portions of parabolas
in the
-plane. For
convenience, we let the square have
vertices
,
,
, and
. Then
the image
points are
,
,
, and
,
as shown in Figure 3.1.
Figure
3.1 The image of a small square under the
mapping
,
the
vertex vertex
, is
mapped onto the point
.
Exploration
We know
that
is
differentiable, so the limit of the difference
quotient
exists
no matter how
we approach
. Let
us zoom in on the point
and
investigate the two special Cartesian limits.
The
image of the square
under
the mapping
.
The
image of the square
under
the mapping
.
The
image of the square
under
the mapping
.
The vertices
,
,
, and
are
mapped onto the
image points
,
,
, and
.
We know
that
is
differentiable, so the limit of the difference
quotient
exists
no
matter how we approach
. Let
us investigate the two special Cartesian limits.
Solution Using Numerical Approximations
Method
1. Investigate numerical
approximations of the difference
quotients
along the horizontal line
.
First, we can numerically
approximate
by
using a horizontal increment in
.
Use
and
where ![]()
to compute the difference quotient.
Aside. Both
and
can assist us with numerical
approximations.
Aside. The Mathematica solution uses the commands.
Aside. The Maple commands are similar.
>
![]()
>
![]()
>
![]()
>
![]()
Method
2. Investigate numerical
approximations of the difference
quotients
along the vertical line
.
Second, we can numerically
approximate
by
using a vertical increment in
.
Use
and
where ![]()
to compute the difference quotient.
![[Graphics:../Images/CauchyRiemannMod_gr_121.gif]](../Images/CauchyRiemannMod_gr_121.gif)
Aside. Both
and
can assist us with numerical
approximations.
Aside. The Mathematica solution uses the commands.
Aside. The Maple commands are similar.
>
![]()
>
![]()
>
![]()
>
![]()
Comparing these two numerical
approximations we see that
,
and
,
which leads us to speculate
that
.
We are done.
These numerical approximations lead to the idea of taking limits along the horizontal and vertical directions.
Solution Using Limits
Method
1. Investigate the
limit of the difference
quotients
along the horizontal line
.
First, we can taking the limit along
the horizontal direction.
Aside. Both
and
can assist us in calculating
limits.
Aside. The Mathematica solution uses the commands.
Aside. The Maple commands are similar.
>
![]()
>
![]()
Method
2. Investigate the
limit of the difference
quotients
along the vertical line
.
Second, we can taking the limit along
the vertical direction.
Aside. Both
and
can assist us in calculating
limits.
Aside. The Mathematica solution uses the commands.
Aside. The Maple commands are similar.
>
![]()
>
![]()
Comparing these two limits we see
that
,
and
.
Since the above two limits were
not taken along all possible approaches
to
, they
alone
are not sufficient to prove
that
, but
they prepare our thinking for Theorem
3.3.
Remark. In this
book the use of computers is optional.
Hopefully this text will promote their use and understanding.
This solution is complements of the authors.
This material is coordinated with our book Complex Analysis for Mathematics and Engineering.
(c) 2011 John H. Mathews, Russell W. Howell