To define extremal length, we need to first introduce several related quantities.
Let be an open set in the complex plane. Suppose that is a
collection of rectifiable curves in . If
is Borel-measurable, then for any rectifiable curve we let
denote the –length of , where denotes the
Euclidean element of length. (It is possible that .)
What does this really mean?
If is parameterized in some interval ,
then is the integral of the Borel-measurable function
with respect to the Borel measure on
for which the measure of every subinterval is the length of the
restriction of to . In other words, it is the
Lebesgue-Stieltjes integral
, where
is the length of the restriction of
to .
Also set
The area of is defined as
and the extremal length of is
where the supremum is over all Borel-measureable with . If contains some non-rectifiable curves and
denotes the set of rectifiable curves in , then
is defined to be .
The term (conformal) modulus of refers to .
The extremal distance in between two sets in is the extremal length of the collection of curves in with one endpoint in one set and the other endpoint in the other set.
In this section the extremal length is calculated in several examples. The first three of these examples are actually useful in applications of extremal length.
Extremal distance in rectangle
Fix some positive numbers , and let be the rectangle . Let be the set of all finite length curves :(0,1)\to R}
that cross the rectangle left to right, in the sense that
is on the left edge of the rectangle, and is on the right edge .
(The limits necessarily exist, because we are assuming that has finite length.) We will now prove that in this case
First, we may take on . This gives and . The definition of as a supremum then gives .
The opposite inequality is not quite so easy. Consider an arbitrary Borel-measurable such that
:=L_{\rho }(\Gamma )>0}
.
For , let (where we are identifying with the complex plane).
Then , and hence .
The latter inequality may be written as
Integrating this inequality over implies
- .
Now a change of variable and an application of the Cauchy–Schwarz inequality give
- . This gives .
Therefore, , as required.
As the proof shows, the extremal length of is the same as the extremal length of the much smaller collection of curves .
It should be pointed out that the extremal length of the family of curves that connect the bottom edge of to the top edge of satisfies , by the same argument. Therefore, .
It is natural to refer to this as a duality property of extremal length, and a similar duality property occurs in the context of the next subsection. Observe that obtaining a lower bound on is generally easier than obtaining an upper bound, since the lower bound involves choosing a reasonably good and estimating , while the upper bound involves proving a statement about all possible . For this reason, duality is often useful when it can be established: when we know that , a lower bound on translates to an upper bound on .
Extremal distance in annulus
Let and be two radii satisfying . Let be the annulus and let and be the two boundary components of : and . Consider the extremal distance in between and ; which is the extremal length of the collection of curves connecting and .
To obtain a lower bound on , we take . Then for oriented from to
On the other hand,
We conclude that
We now see that this inequality is really an equality by employing an argument similar to the one given above for the rectangle. Consider an arbitrary Borel-measurable such that :=L_{\rho }(\Gamma )>0}
. For let denote the curve . Then
We integrate over and apply the Cauchy-Schwarz inequality, to obtain:
Squaring gives
This implies the upper bound .
When combined with the lower bound, this yields the exact value of the extremal length:
Extremal length around an annulus
Let and be as above, but now let be the collection of all curves that wind once around the annulus, separating from . Using the above methods, it is not hard to show that
This illustrates another instance of extremal length duality.
The extremal length satisfies a few simple monotonicity properties. First, it is clear that if , then .
Moreover, the same conclusion holds if every curve contains a curve as a subcurve (that is, is the restriction of to a subinterval of its domain). Another sometimes useful inequality is
This is clear if or if , in which case the right hand side is interpreted as . So suppose that this is not the case and with no loss of generality assume that the curves in are all rectifiable. Let satisfy for . Set . Then and , which proves the inequality.
Let be a conformal homeomorphism
(a bijective holomorphic map) between planar domains. Suppose that
is a collection of curves in ,
and let :\gamma \in \Gamma \}}
denote the
image curves under . Then .
This conformal invariance statement is the primary reason why the concept of
extremal length is useful.
Here is a proof of conformal invariance. Let denote the set of curves
such that is rectifiable, and let
:\gamma \in \Gamma _{0}\}}
, which is the set of rectifiable
curves in . Suppose that is Borel-measurable. Define
A change of variables gives
Now suppose that is rectifiable, and set . Formally, we may use a change of variables again:
To justify this formal calculation, suppose that is defined in some interval , let
denote the length of the restriction of to ,
and let be similarly defined with in place of . Then it is easy to see that , and this implies , as required. The above equalities give,
If we knew that each curve in and was rectifiable, this would
prove since we may also apply the above with replaced by its inverse
and interchanged with . It remains to handle the non-rectifiable curves.
Now let denote the set of rectifiable curves such that is
non-rectifiable. We claim that .
Indeed, take , where .
Then a change of variable as above gives
For and such that
is contained in , we have
- .[dubious – discuss]
On the other hand, suppose that is such that is unbounded.
Set . Then
is at least the length of the curve
(from an interval in to ). Since ,
it follows that .
Thus, indeed, .
Using the results of the previous section, we have
- .
We have already seen that . Thus, .
The reverse inequality holds by symmetry, and conformal invariance is therefore established.
The notion of extremal length adapts to the study of various problems in dimensions 3 and higher, especially in relation to quasiconformal mappings.
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Suppose that is some graph and is a collection of paths in . There are two variants of extremal length in this setting. To define the edge extremal length, originally introduced by R. J. Duffin,[2] consider a function . The -length of a path is defined as the sum of over all edges in the path, counted with multiplicity. The "area" is defined as . The extremal length of is then defined as before. If is interpreted as a resistor network, where each edge has unit resistance, then the effective resistance between two sets of vertices is precisely the edge extremal length of the collection of paths with one endpoint in one set and the other endpoint in the other set. Thus, discrete extremal length is useful for estimates in discrete potential theory.
Another notion of discrete extremal length that is appropriate in other contexts is vertex extremal length, where , the area is , and the length of a path is the sum of over the vertices visited by the path, with multiplicity.
- Ahlfors, Lars V. (1973), Conformal invariants: topics in geometric function theory, New York: McGraw-Hill Book Co., MR 0357743
- Duffin, R. J. (1962), "The extremal length of a network", Journal of Mathematical Analysis and Applications, 5 (2): 200–215, doi:10.1016/S0022-247X(62)80004-3
- Lehto, O.; Virtanen, K. I. (1973), Quasiconformal mappings in the plane (2nd ed.), Berlin, New York: Springer-Verlag