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\begin{document}

\title{Progress on the Curvature Problem}
\author{David Futer}
\date{April 7, 2002}
\maketitle

\begin{abstract}
\noindent This writeup presents the known results about the curvature
problem: the proof for the $n=2$ case, and the argument generalizing
the $R^2$ result to $R^n$ when $w\geq1$.
\end{abstract}

\section{The Conjecture}

The conjecture we are studying comes out of the Hutchings theory of
component bounds on double bubbles in general dimensions. The basic
setup is illustrated in Figure 1.

{\bf Note:} All the figures and other related materials are available
on the Web at

\begin{center}
http://www.math.msu.edu/$\, \tilde{ }\,$dfuter/research/curvature/
\end{center}

\begin{conjecture}\label{mainconj}
In $R^n$ (with $n \geq 2$), let $H_0$, $H_1$, and $H_2$, respectively,
denote the mean curvature of a sphere of volume $w$, a sphere of
volume $w+1$, and the exterior of the second region of the standard
double bubble of volumes $1, w$. Then

$$H_2 > \frac{H_0 + H_1}{2} \: . $$
\end{conjecture}

In studying this problem, it is convenient to divide the double bubble
of volumes $1$, $w$ into four regions separated by pieces of the
spheres.  We call these regions $R_0$, $R_1$, $R_2$, and $R_3$.  Thus
$R_0 \cup R_1$ is the bubble of volume $w$ and $R_2 \cup R_3$ is the
bubble of volume $1$. Regions $R_2$ and $R_3$ are of particular
interest to us, so we call their volumes $A$ and $B$, respectively. We
usually think think of volumes $A$ and $B = 1-A$ as functions $A_n(w)$
and $B_n(w)$, where $n$ indicates dimension.

It turns out to be convenent to rephrase the problem in terms of $w$
and $A_n(w)$ rather than in terms of curvature. To that end, let $V(n)$ be
the volume of the $n$-dimensional unit ball. (This can be calculated
in closed form using the Gamma function. It is interesting to
note, and occasionally relevant to our estimates, that $V(n)$ reaches
a maximum at $n=5$, and decreases steadily thereafter.) Because mean
curvature is just the reciprocal of the radius, we have

$$H_0 = (V(n)/w)^{1/n} \hspace{0.25in} H_1 = (V(n)/(w+1))^{1/n}
\hspace{0.25in} H_2 = (V(n)/(w+A_n))^{1/n}$$

Thus, substituting this into the conjectured inequality and solving
for $A_n$, the conjecture is equivalent to the statement that

$$A_n(w) < M_n(w) \equiv 2^n \frac{w(w+1)}{(w^{1/n}+(w+1)^{1/n})^n} - w \: .$$

Thus we have an explicitly defined function $M_n(w)$ expressing the
bound that $A_n(w)$ must satisfy for the conjecture to hold.  Before
we proceed with the task of comparing the two functions, the following
lemmas provide an appreciation of how similar they are.

\begin{lemma}\label{a_inc}
For each $n$, the function $A_n(w)$ is strictly increasing in $w$. As
$w \to 0$, it shrinks to $0$; as $w \to \infty$, it is asymptotic to
$1/2$.
\end{lemma}

\begin{proof}
This proof is similar in spirit to Frank Morgan's proof that only one
standard double bubble exists for every pair of volumes. Let $r_n(w)$
be the ratio between the radii of the spherical caps outside regions
$R_0$ and $R_3$, respectively. Now, $r_n(w)$ must increase
monotonically with $w$ -- otherwise there will be two double bubbles
with radii in the same proportion $(r_n(w)=r_n(w'))$ but
disproportional volumes $(w/1 \neq w'/1)$. This would violate the
scaling symmetry of $R^n$.

Now, let us focus our attention on the the sphere $S$ containing
regions $R_1$, $R_2$, and $R_3$, and on one particular point where the
spherical caps meet at $120^\circ$ angles. Consider what happens to
$S$ as we vary the other sphere but keep the intersection tied to that
point. As $w$ increases, the angle is conserved but the ratio $r_n(w)$
goes up -- so regions $R_1$ and $R_2$ take up a bigger and bigger
portion of this sphere. (See Figure 2.) So $B_n(w)$, the volume of
$R_3$, is decreasing in $w$, and thus $A_n(w) = 1- B_n(w)$ is
increasing.

As $w \to 0$, the bubble of volume $w$ looks like a small lens on a
vastly larger sphere. (See Figure 3.) Thus the sphere containing this
bubble in addition to region $R_2$ grows smaller and smaller --
forcing $A_n(w)$, the volume of $R_2$ to approach $0$. (In fact, the
ratio $A_n(w)/w$ approaches a constant -- more on this later.) As $w
\to
\infty$, the picture is reversed: now, the bubble of volume $1$ is 
a lens on a much larger sphere. Regions $R_2$ and $R_3$ are symmetric
with respect to inversion in this sphere; thus, in the limit, they are
reflections of one another in a flat plane and have equal volume. So
$A_n(w) \to B_n(w) = 1 - A_n(w)$, and thus $A_n(w) \to 1/2$.
\end{proof}

\begin{lemma}\label{m_gen}
Let $m<n$. Then $M_m(w) < M_n(w)$ for all $w$.
\end{lemma}

\begin{proof}
For this proof, it is convenient to rewrite

$$M_n(w) = \frac{w(w+1)}{\left( \frac{w^{1/n}+(w+1)^{1/n}}{2} \right)^n}
- w \: .$$

\noindent Thus the only difference as we vary $n$ is in the averages 
in the denominator. Now, since $m<n$, $f(x) = x^{n/m}$ is a strictly
convex function on $[0, \infty)$. So, for all distinct $x,y \geq 0$,

$$\left( \frac{x+y}{2} \right)^{n/m} < \frac{x^{n/m}+y^{n/m}}{2} .$$

\noindent Let $x=w^{1/n}$ and $y=(w+1)^{1/n}$. Then

\begin{eqnarray*}
\left( \frac{w^{1/n}+(w+1)^{1/n}}{2} \right)^{n/m} &<& 
\frac{w^{1/m}+(w+1)^{1/m}}{2} \: , \\
\left( \frac{w^{1/n}+(w+1)^{1/n}}{2} \right)^n &<& 
\left( \frac{w^{1/m}+(w+1)^{1/m}}{2} \right)^m \: ,
\end{eqnarray*}

\noindent and thus $M_m(w) < M_n(w)$.
\end{proof}

\begin{lemma}\label{m_lim}
$M_n(w)$ has the same limits as $A_n(w)$: it approaches $0$ as $w \to
0$ and $1/2$ as $w \to \infty$.
\end{lemma}

\begin{proof}
Observe that

$$M_n(w) = w \left(2^n \frac{w+1}{(w^{1/n}+(w+1)^{1/n})^n} - 1\right) \: ,$$

\noindent and thus clearly vanishes as $w \to 0$. Now, to compute the limit 
of $M_n(w)$ as $w \to \infty$, we will need to squeeze it between two
other functions. We know, by Lemma \ref{m_gen}, that $M_1(w) < M_n(w)$
for $n \geq 2$. For an upper bound on $M_n(w)$, recall that the
geometric mean is always lower than the arithmetic. Thus

$$ \sqrt{w^{1/n}(w\!+\!1)^{1/n}} < \frac{w^{1/n}+(w\!+\!1)^{1/n}}{2} 
\mbox{ , so }
\sqrt{w(w\!+\!1)} < \left( \frac{w^{1/n}+(w\!+\!1)^{1/n}}{2} \right)^n .$$

\noindent Therefore we have

\begin{eqnarray*}
M_1(w) = \frac{w(w+1)}{\frac{w+(w+1)}{2}} - w &<\: M_n(w) \:<&
\frac{w(w+1)}{\sqrt{w(w+1)}} - w \\
\frac{2w(w+1)}{2w+1} - w &<\: M_n(w) \:<& \sqrt{w^2+w} - w \\
\frac{2w^2 + 2w - 2w^2 - w}{2w+1} &<\: M_n(w) \:<& \sqrt{w^2+w+\frac{1}{4}} 
- w \\
\frac{w}{2w+1} &<\: M_n(w) \:<& w + \half - w \\
\frac{w}{2w+1} &<\: M_n(w) \:<& \half \: .
\end{eqnarray*}

\noindent Thus $\lim_{w \to \infty} M_n(w) = 1/2$.
\end{proof}

\begin{lemma}\label{m_inc}
For each $n$, the function $M_n(w)$ is strictly increasing and
concave down.
\end{lemma}

\begin{proof}
We need to check that $M_n'(w) > 0$ and $M_n''(w) < 0$.

\begin{eqnarray*}
M_n'(w)
&=& 2^n \frac{(w^{1/n}+(w\!+\!1)^{1/n})^n (2w\!+\!1)}{(w^{1/n} + 
(w\!+\!1)^{1/n})^{2n}} - 1\\
& & - \, 2^n \frac{w(w\!+\!1) \cdot n (w^{1/n}+(w\!+\!1)^{1/n})^{n-1} 
\cdot \overn (w^{1/n - 1} + (w\!+\!1)^{1/n - 1})}
{(w^{1/n}+(w\!+\!1)^{1/n})^{2n}} \\
\vspace{0.1in}
&=& 2^n \frac{(w^{1/n}+(w+1)^{1/n})(w+ (w+1))}{(w^{1/n}+(w+1)^{1/n})^{n+1}} \\
& & \hspace{0.25in} - \, 2^n \frac{w(w+1)(w^{1/n - 1} + (w+1)^{1/n -
1})}{(w^{1/n}+(w+1)^{1/n})^{n+1}} - 1 \\
\vspace{0.1in}
&=& 2^n \frac{w^{1+1/n} + w(w+1)^{1/n} + (w+1)w^{1/n} +
(w+1)^{1+1/n}}{(w^{1/n}+(w+1)^{1/n})^{n+1}} \\
& & \hspace{0.25in} - \, 2^n \frac{(w+1)w^{1/n} - 
w(w+1)^{1/n}}{(w^{1/n}+(w+1)^{1/n})^{n+1}} - 1 \\
\vspace{0.1in}
&=& 2^n \frac{w^{1+1/n} + (w+1)^{1+1/n}}{(w^{1/n}+(w+1)^{1/n})^{n+1}} - 1 \: .
\end{eqnarray*}

\noindent Now,

\begin{eqnarray*}
\lim_{w \to \infty} M_n'(w)
&=& \lim_{w \to \infty} 2^n \frac{(\frac{w}{w+1})^{1+1/n} + 1}
{\left( (\frac{w}{w+1})^{1/n}+1 \right)^{n+1}} - 1 \\
&=& 2^n \frac{2}{2^{n+1}} - 1 \\
&=& 0 \: .
\end{eqnarray*}

Thus, once we establish that $M'(w)$ is decreasing, it will follow that
it's everywhere positive.

\begin{eqnarray*}
M_n''(w)
&=& 2^n \frac{(w^{1/n}+(w\!+\!1)^{1/n})^{n+1}(1 + 
\overn)(w^{1/n}+(w\!+\!1)^{1/n})}
{(w^{1/n}+(w\!+\!1)^{1/n})^{2n+2}} \\
& & - \, 2^n \frac{(w^{1+1/n} \!+\! (w\!+\!1)^{1+1/n}) \cdot 
(n\!+\!1)(w^{1/n} \!+\! (w\!+\!1)^{1/n})^n \cdot \overn (w^{1/n- 1} 
\!+\! (w\!+\!1)^{1/n - 1})}
{(w^{1/n}+(w\!+\!1)^{1/n})^{2n+2}} \\
\vspace{0.1in}
&=& 2^n \left( 1+\overn \right) \frac{(w^{1/n}+(w\!+\!1)^{1/n})^2}
{(w^{1/n}+(w\!+\!1)^{1/n})^{n+2}} \\
& & \hspace{0.25in} - \, 2^n \left( 1+\overn \right) \frac{(w^{1+1/n} +
(w\!+\!1)^{1+1/n})(w^{1/n - 1} + (w\!+\!1)^{1/n - 1})}{(w^{1/n}+(w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&=& 2^n \left( 1+\overn \right) \frac{(w^{1/n}+(w\!+\!1)^{1/n})^2}
{(w^{1/n}+(w\!+\!1)^{1/n})^{n+2}} \\
& & \hspace{0.25in} - \, 2^n \left( 1+\overn \right) 
\frac{(\frac{w^{1/n}}{w\!+\!1} + \frac{(w\!+\!1)^{1/n}}{w})((w\!+\!1)w^{1/n} + 
w(w\!+\!1)^{1/n})}{(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&=& 2^n \left( 1+\overn \right) \frac{w^{2/n} + 2w^{1/n}(w\!+\!1)^{1/n} + 
(w\!+\!1)^{2/n}}{(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}} \\
& & \hspace{0.25in} - \, 2^n \left( 1+\overn \right) 
\frac{w^{2/n} + \frac{w}{w\!+\!1}w^{1/n}(w\!+\!1)^{1/n} + 
\frac{w\!+\!1}{w}w^{1/n}(w\!+\!1)^{1/n} + (w\!+\!1)^{2/n}}{(w^{1/n} + 
(w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&=& 2^n \left( 1+\overn \right) \frac{2w^{1/n}(w\!+\!1)^{1/n} - 
\frac{w}{w\!+\!1}w^{1/n}(w\!+\!1)^{1/n} - 
\frac{w\!+\!1}{w}w^{1/n}(w\!+\!1)^{1/n}}{(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&=& 2^n \left( 1+\overn \right) \frac{w^{1/n}(w\!+\!1)^{1/n}(2-\frac{w}{w\!+\!1}-
\frac{w\!+\!1}{w})}{(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&=& 2^n \left( 1+\overn \right) \frac{w^{1/n}(w\!+\!1)^{1/n} \frac{-1}{w(w\!+\!1)}}
{(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&=& -2^n \left( 1+\overn \right) \frac{w^{1/n-1}(w\!+\!1)^{1/n-1}}{(w^{1/n} +
(w\!+\!1)^{1/n})^{n+2}} \\
\vspace{0.1in}
&<& 0 \: .
\end{eqnarray*}

\end{proof}

\section{Asymptotic analysis for small $w$}
Because the functions $A_n(w)$ and $M_n(w)$ are so similar in their
asymptotic behavior, we need to analyze carefully the intervals when
$w$ is very small and very large. In this section, we present the
proof that $A_n(w) < M_n(w)$ for sufficiently small $w$; the proof for
large $w$ in the case $n=2$ will come in the next section.

\begin{lemma}
$$M_n(w) \geq (2^n-1)w - n 2^{n-1} w^{1+1/n} \: .$$
\end{lemma}

\begin{proof}
Taylor's Theorem implies that

$$M_n(w) = M_n(0) + M_n'(0) w + \half \int_0^w
M_n''(t)(w-t) \, dt \: .$$

\noindent From Lemmas \ref{m_lim} and \ref{m_inc}, we have $M_n(0) = 0$ and
$M_n'(0) = 2^n - 1$. Also,

\begin{eqnarray*}
M_n''(w)
&=& -2^n \left( 1+\overn \right) \frac{w^{1/n-1}}{(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}
(w\!+\!1)^{1-1/n}} \\
\vspace{0.1in}
&\geq& -2^n \left( 1+\overn \right) w^{1/n-1} \: ,
\end{eqnarray*}

\noindent since $(w^{1/n} + (w\!+\!1)^{1/n})^{n+2}(w\!+\!1)^{1-1/n} \geq 1$
for all $w$. Thus

\begin{eqnarray*}
\half \int_0^w M_n''(t)(w-t) \, dt
&\geq& \frac{1}{2} \int_0^w -2^n \left( 1+ \overn \right) t^{1/n-1}(w-t) \, 
dt \\
&=& -2^{n-1} \left( 1+ \overn \right) \int_0^w t^{1/n-1}w-t^{1/n} \, dt \\
&=& -2^{n-1} \frac{n+1}{n} \left[ nwt^{1/n} - \frac{n}{n+1} 
t^{1+1/n} \right]_0^w \\
&=& -2^{n-1} \left( (n+1)w^{1+1/n} - w^{1+1/n} \right) \\
&=& -n \, 2^{n-1}w^{1+1/n} \: ,
\end{eqnarray*}

\noindent completing the proof.
\end{proof}

Now that we have a lower bound on $M_n(w)$, it would help to have an
upper bound on $A_n(w)$.  This is obtained with the help of some
geometry.  When $w$ is very small, the bubble enclosing volume $w$
looks like a lens on a nearly flat surface.  (See Figure 3.)  Because
the boundary surfaces of a double bubble meet at $120^{\circ}$ angles,
each of the regions $R_0$ and $R_1$ looks like a truncated portion of
an $n$-ball; specifically, the part of the ball when (for unit radius)
$x_n \geq \half$. Region $R_2$, of volume $A$, fills out the
remainder of this $n$-ball. This picture provides an upper bound on
the ratio $A/w$: as $w$ grows, the bubble of volume $w$ fills out a
greater and greater portion of the ball.

Thus, to get an upper bound on the ratio $A/w$, we need to calculate
the volume of this lens in an $n$-ball and compare it to the volume of
the remainder of the ball.

\begin{lemma}
$$ A_n(w) < n \left( \frac{2}{\sqrt{3}} \right)^{n-1} w \: .$$
\end{lemma}

\begin{proof}
Because we are calculating the ratio between the volumes of two
different portions of a ball, we may suppose that the ball has unit
radius.  We can compute the $n$-dimensional volume $L(n)$ of the lens
by integrating by cylindrical shells.  (See Figure 4.)  Each of these
cylindrical shells is an interval times an $(n-1)$-sphere, whose
``surface area'' ($(n-2)$-dimensional measure) for radius $r$ is
$(n-1)V(n-1)r^{n-2}$. Then

\begin{eqnarray*}
L(n)
&=& 2 \int_0^{\sqrt{3}/2} (n-1)V(n-1)r^{n-2} \left( \sqrt{1-r^2}- \half 
\right) dr \\
&\geq& 2(n-1)V(n-1) \int_0^{\sqrt{3}/2} r^{n-2} \left( \half -
\frac{1}{\sqrt{3}} r \right) dr \\
&=& (n-1)V(n-1) \int_0^{\sqrt{3}/2} r^{n-2} - \frac{2}{\sqrt{3}}r^{n-1}dr \\
&=& (n-1)V(n-1) \left[ \frac{r^{n-1}}{n-1} - \frac{2}{\sqrt{3}}
\frac{r^n}{n} \right]_0^{\sqrt{3}/2} \\
&=& V(n-1) \left[ r^{n-1} - \frac{n-1}{n} \frac{2}{\sqrt{3}} r^n
\right]_0^{\sqrt{3}/2} \\
&=& V(n-1) \left( \left( \frac{\sqrt{3}}{2} \right)^{n-1} -
\frac{n-1}{n} \left( \frac{\sqrt{3}}{2} \right)^{n-1} \right) \\
&=& \frac{V(n-1)}{n} \left( \frac{\sqrt{3}}{2} \right)^{n-1} \: .
\end{eqnarray*}

% \noindent Now,

\begin{eqnarray*}
\frac{A_n(w)}{w}
&\leq& \frac{V(n) - L(n)}{L(n)} \\
&<& \frac{V(n)}{L(n)} \\
&\leq& n \frac{V(n)}{V(n-1)} \left( \frac{2}{\sqrt{3}} \right)^{n-1} \\
&<& n \left( \frac{2}{\sqrt{3}} \right)^{n-1} \: \mbox{when $n \geq 6$.}
\end{eqnarray*}

When $n \leq 5$, we can compute the constant $c(n) = (V(n) - L(n))/L(n)$
explicitly from the integral expression for $L(n)$:

\begin{center}
\begin{tabular}{|c|c|}
\hline
$n$ & $c(n)$ \\ \hline \hline
$2$ & $\frac{2 \pi + 3 \sqrt{3}}{4 \pi - 3 \sqrt{3}} \approx 1.5575$ \\ \hline
$3$ & $\frac{11}{5} = 2.2$ \\ \hline
$4$ & $\frac{4 \pi + 9 \sqrt{3}}{8 \pi - 9 \sqrt{3}} \approx 2.9499$ \\ \hline
$5$ & $\frac{203}{53} \approx 3.8302$ \\ \hline
\end{tabular}
\end{center}

Thus $A_n(w) < n (2/\sqrt{3})^{n-1}w$ for all $n$.
\end{proof}

\begin{theorem}\label{asymp_small}
$$ A_n(w) < M_n(w) \mbox{ whenever } w \leq \left( \frac{2}{n} - 
\frac{1}{n \, 2^{n-1}} - \left( \frac{1}{\sqrt{3}} \right)^{n-1} \right)^n 
\: .$$
\end{theorem}

\begin{proof}
The proof is just a computation based on the past two lemmas.

\begin{eqnarray*}
w &\leq& \left( \frac{2}{n} - \frac{1}{n \, 2^{n-1}} - \left( 
\frac{1}{\sqrt{3}} \right)^{n-1} \right)^n \\
w^{1/n} &\leq& \frac{2}{n} - \frac{1}{n \, 2^{n-1}} - \left( 
\frac{1}{\sqrt{3}} \right)^{n-1} \\
n \, 2^{n-1}w^{1/n} &\leq& 2^n - 1 - n \left( \frac{2}{\sqrt{3}} 
\right)^{n-1} \\
n \left( \frac{2}{\sqrt{3}} \right)^{n-1} &\leq&
\left(2^n - 1 \right) - n \, 2^{n-1}w^{1/n} \\
n \left( \frac{2}{\sqrt{3}} \right)^{n-1} w 
&\leq& \left( 2^n - 1 \right) w - n \, 2^{n-1}w^{1+1/n} \\
A_n(w) &<& M_n(w) \: .
\end{eqnarray*}
\end{proof}

\section{The two-dimensional case}

Our proof of Conjecture \ref{mainconj} for $n=2$ comes in three
pieces. First, we know from Theorem \ref{asymp_small} that the conjecture
holds for sufficiently small volumes. Second, asymptotic analysis at
the other end will prove that the conjecture holds for sufficiently
large volumes. And finally, the compact interval in between can be
checked numerically, relying on the result (Lemmas \ref{a_inc} and
\ref{m_inc}) that both $M_n$ and $A_n$ are increasing functions.

\subsection{Different parameters and explicit formulae}
Since infinity is such an unwieldy notion, it would be preferable to
replace $w$ with some other parameter that stays finite as $w \to
\infty$. As it happens, not one but two alternate parameters are useful 
to our purposes here. First, we can rescale the double bubble of
volumes $w$ and $1$ so that instead it has volumes $v$ and $1-v$. Now,
as $w$ varies from $0$ to $\infty$, $v$ varies from $0$ to $1$. They
are related by the equations

$$ v = \frac{w}{w+1} \mbox{ and } w = \frac{v}{1-v} \: .$$

\noindent Now, we can express the bound $M_2(w)$ in terms of $v$:

\begin{eqnarray*}
M_2 \circ w (v) &=& M_2(w(v)) \\
&=& w \left( 4 \frac{w+1}{(\sqrt{w}+\sqrt{w+1})^2} - 1 \right) \\
&=& \frac{v}{1-v} \left( 4 \frac{\frac{1}{1-v}}{\left(\sqrt{\frac{v}{1-v}}
+ \sqrt{\frac{1}{1-v}} \right)^2} - 1 \right) \\
&=& \frac{v}{1-v} \left( \frac{4}{(\sqrt{v} + 1)^2} - 1 \right) \: .
\end{eqnarray*}

The other parameter, even more useful for this section, is the
(oriented) angle $\theta$ between the chord and the separating cap in
Figure 1. When $w<1$ and the separating cap bulges into the bubble of
volume $1$, we say that $\theta < 0$; when $w>1$ and the separating
cap bulges the other way, we say $\theta > 0$. Thus, as $w$ varies
from $0$ to $\infty$ (and $v$ varies from $0$ to $1$), $\theta$ varies
from $-\pi/3$ to $\pi/3$. (Because $w$, $v$ and $\theta$ are all
strictly increasing functions of one another, the monotonicity results
of Lemmas \ref{a_inc} and \ref{m_inc} apply with any parameter.)

The advantage of $\theta$ as a parameter is that both $A_2$ and $v$
can be written explicitly in terms of it, allowing us to compare
$A_2$ and $M_2$ directly. The computations hinge on the geometrical
formula in the following lemma.

\begin{definition}\label{phi}
For an angle $\theta$, define a function $\ff(\theta)$ by

$$\ff(\theta) = \frac{\theta-\sin \theta \cos \theta}{\sin^2 \theta} \: .$$
\end{definition}

\begin{lemma}\label{sector-area}
Consider the sector $S$ of a circle subtended by a chord of length $2c$,
where the chord meets the circle at internal angle $\theta$. (See Figure 5.)
Then the area of $S$ is

$$a(\theta, c) = c^2 \ff(\theta) = c^2 
\frac{\theta-\sin \theta \cos \theta}{\sin^2 \theta} \: .$$
\end{lemma}

\begin{proof}
Connect the intersection points of the chord and the circle to the
center by a pair of radii; then the length of the radius is $r = c/(\sin
\theta)$. (See Figure 5.) Now, $S$ can be described as the wedge between 
the two radii, minus the triangle of the chord and the two radii. In
terms of $r$, the area of the wedge is $r^2 \theta$ and the area of the
triangle is $r^2 \sin \theta \cos \theta$. The area of $S$ is the
difference.
\end{proof}

\begin{lemma}\label{formulae}
Consider a planar double bubble of areas $w,1$, where the separating
cap meets the chord at oriented angle $\theta$, as above. Then

$$A_2(\theta) = \frac{\ff(\theta) + \ff(\frac{\pi}{3} - \theta)}
{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)} \: \mbox{ and } \:
v(\theta) = \frac{\ff(\frac{2\pi}{3} + \theta) - \ff(\theta)}
{\ff(\frac{2\pi}{3} + \theta) + \ff(\frac{2\pi}{3} - \theta)} \: .$$
\end{lemma}

\begin{proof}
We compute the areas using Figure 6. It is evident from the picture that, when $\theta > 0$,

$$
A = a(\theta,c)+ a( \frac{\pi}{3} - \theta, c) \: \mbox{ and } \: 
w = a(\frac{2 \pi}{3} + \theta,c) - a( \theta, c). 
$$

\noindent When $\theta < 0$, extending the formula of Lemma \ref{sector-area}
gives a negative expression for $a(\theta, c)$, so in fact the same
formulae for $A$ and $w$ still apply. To expand them completely, we
need an expression for $c$ in terms of $\theta$. To that end, observe
that

$$
1 \: = \: A + B \: = \: a(\theta, c) + a( \frac{2\pi}{3} - \theta, c) 
\: = \: c^2 \left( \ff(\theta) + \ff(\frac{2\pi}{3} - \theta) \right) \:.
$$

\noindent Thus

$$c^2 = \frac{1}{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta) } \: ,$$

\noindent so

$$A = \frac{\ff(\theta) + \ff(\frac{\pi}{3} - \theta)}
{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)} \: \mbox{ and } \:
w = \frac{\ff(\frac{2 \pi}{3} + \theta) - \ff(\theta)}
{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)} \: .$$

\noindent From this, we can compute

$$w+1 \: = \: \frac{\ff(\frac{2 \pi}{3} + \theta) - \ff(\theta)}
{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)} + 
\frac{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)}
{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)} \: = \: 
\frac{\ff(\frac{2 \pi}{3} + \theta) + \ff(\frac{2\pi}{3} - \theta)}
{\ff(\theta) + \ff(\frac{2\pi}{3} - \theta)} \: ,$$

\noindent and thus

$$ v = \frac{w}{w+1}
= \frac{\ff(\frac{2\pi}{3} + \theta) - \ff(\theta)}
{\ff(\frac{2\pi}{3} + \theta) + \ff(\frac{2\pi}{3} - \theta)} \: .
$$

\end{proof}

\subsection{Asymptotic analysis for large $w$}
Our plan is to prove that $A_2 < M_2$ when $\theta$ is close to
$\frac{\pi}{3}$ by bounding their derivatives $\frac{dA}{d\theta}$ and
$\frac{dM}{d\theta}$. In order to do that, we need to know more about
the building-block function $\ff(\theta)$.

\begin{lemma}\label{phi-facts}
$\ff(\theta)$ is positive, increasing, and concave up on $(0,
\pi)$. Specifically,

$$\ff'(\theta) = 2\, \frac{\sin \theta - \theta \cos \theta}{\sin^3 \theta} 
\: .$$
\end{lemma}

\begin{proof}
Lemma \ref{sector-area} tells us that $\ff(\theta)$ is the area of a
sector $S(\theta)$ of a circle of radius $1/\sin \theta$ cut by a
chord of length $2$. (See Figure 7.) So $\ff(\theta)$ is clearly
positive. The chord length is fixed, so as $\theta$ increases, the
sector $S(\theta)$ will grow larger. Thus $\ff(\theta)$ is increasing.

Now consider the change in area between $S(\theta)$ and $S(\theta +
\epsilon)$ for some small $\epsilon$. The difference between the two 
sectors is a narrow strip along the circumference. Now, keep
$\epsilon$ fixed and vary $\theta$. For larger $\theta$, the strip is
both longer and wider, and thus has larger area. So $\ff'(\theta)$ is
increasing and $\ff(\theta)$ is concave up.

\begin{eqnarray*}
\ff'(\theta) &=&
\frac{\sin^2 \theta (1+\sin^2 \theta - \cos^2 \theta) - (\theta - \sin \theta
\cos \theta)(2 \sin \theta \cos \theta)}{\sin^4 \theta} \\
&=& \frac{\sin^2 \theta (2 \sin^2 \theta) - 2 \theta \sin \theta \cos \theta
+ 2 \sin^2 \theta \cos^2 \theta}{\sin^4 \theta} \\
&=& \frac{2\sin^2 \theta - 2\theta \sin \theta \cos \theta}{\sin^4 \theta} \\
&=& 2\, \frac{\sin \theta - \theta \cos \theta}{\sin^3 \theta} \: .
\end{eqnarray*}
\end{proof}

For computing derivatives of $A_2$ and $M_2$ we introduce the
following notation: $\alpha = \frac{\pi}{3} - \theta$, $\beta =
\frac{2\pi}{3} - \theta$, and $\gamma = \frac{2\pi}{3} + \theta$. 
With this notaton, we have

$$
A_2(\theta) = \frac{\ff(\theta) + \ff(\alpha)}{\ff(\theta) + \ff(\beta)}
\: \mbox{ and } \:
v(\theta) = \frac{\ff(\gamma) - \ff(\theta)}{\ff(\gamma) + \ff(\beta)} \: .
$$

\begin{lemma}
When $\theta \in (1, \frac{\pi}{3})$, $\frac{dA}{d\theta} > \frac{1}{6}$.
\end{lemma}

\begin{proof}
Let $\theta \in (1, \frac{\pi}{3})$. Then

\begin{eqnarray*}
\frac{dA}{d\theta} 
&=& \frac{(\ff(\theta)+\ff(\beta))(\ff'(\theta)-\ff'(\alpha)) - 
(\ff(\theta)+\ff(\alpha))(\ff'(\theta)-\ff'(\beta))}
{(\ff(\theta)+\ff(\beta))^2} \\
&=&  \frac{(\ff(\theta)+\ff(\beta))(\ff'(\theta)-\ff'(\alpha)) + 
(\ff(\theta)+\ff(\alpha))(\ff'(\beta)-\ff'(\theta))}
{(\ff(\theta)+\ff(\beta))^2} \\
&>& \frac{(\ff(\theta)+\ff(\beta))(\ff'(\theta)-\ff'(\alpha))}
{(\ff(\theta)+\ff(\beta))^2} \:,
\hspace{0.25in} \mbox{ since $\ff'(\beta)>\ff'(\theta)$} \\
&>& \frac{2 \ff(\theta)(\ff'(\theta)-\ff'(\alpha))}{(2\ff(\beta))^2} \:, 
\hspace{0.75in} \mbox{ since $\ff(\beta)>\ff(\theta)$} \\
&>& \frac{\ff(1)(\ff'(1)-\ff'(\frac{\pi}{3}-1))}{2\ff(\frac{2\pi}{3}-1)^2} \\
&\approx& 0.1749 \: .
\end{eqnarray*}
\end{proof}

\begin{lemma}
When $\theta \in (1, \frac{\pi}{3})$, $0 < \frac{dv}{d\theta} < \frac{1}{30}$.
\end{lemma}

\begin{proof}
Let $\theta \in (1, \frac{\pi}{3})$. Since $v$ is increasing, 
$\frac{dv}{d\theta} >0$. Also,

\begin{eqnarray*}
\frac{dv}{d\theta} 
&=& \frac{(\ff(\gamma)+\ff(\beta))(\ff'(\gamma)-\ff'(\theta)) - 
(\ff(\gamma)+\ff(\theta))(\ff'(\gamma)-\ff'(\beta))}
{(\ff(\gamma)+\ff(\beta))^2} \\
&=& \frac{\ff(\gamma)\ff'(\gamma) - \ff(\gamma)\ff'(\theta) + 
\ff(\beta)\ff'(\gamma) - \ff(\beta)\ff'(\theta)}
{(\ff(\gamma)+\ff(\beta))^2} \\
& & \hspace{0.5in} + \: \frac{- \ff(\gamma)\ff'(\gamma) +
\ff(\gamma)\ff'(\beta) + \ff(\theta)\ff'(\gamma) - \ff(\theta)\ff'(\beta)}
{(\ff(\gamma)+\ff(\beta))^2} \\
&=& \frac{- \ff(\gamma)\ff'(\theta) + \ff(\beta)\ff'(\gamma) - 
\ff(\beta)\ff'(\theta) + \ff(\gamma)\ff'(\beta) + \ff(\theta)\ff'(\gamma) - 
\ff(\theta)\ff'(\beta)}{(\ff(\gamma)+\ff(\beta))^2} \\
&<& \frac{\ff(\beta)\ff'(\gamma) + \ff(\gamma)\ff'(\beta) + 
\ff(\theta)\ff'(\gamma)}{(\ff(\gamma)+\ff(\beta))^2} \\
&<& \frac{2 \ff(\beta)\ff'(\gamma) + \ff(\gamma)\ff'(\beta)} 
{\ff(\gamma)^2} \\
&=& 2 \, \frac{\ff'(\gamma)}{\ff(\gamma)^2} \, \ff(\beta) +
\frac{\ff'(\beta)}{\ff(\gamma)} \\
&<& 2 \, \frac{\ff'(\gamma)}{\ff(\gamma)^2} \: \ff \! \left( \frac{2\pi}{3}-1 
\right) + \frac{\ff'(\frac{2\pi}{3}-1)}{\ff(\gamma)} \: .
\end{eqnarray*}

\noindent We now substitute $\ff(\frac{2\pi}{3}-1) \approx 0.8698$ and $\ff'(\frac{2\pi}{3}-1) \approx 0.6673$.

\begin{eqnarray*}
\frac{dv}{d\theta} 
&<& 1.8 \: \frac{\ff'(\gamma)}{\ff(\gamma)^2} + \frac{1}{\ff(\gamma)} \\
&=& 1.8 \: \frac{\sin \gamma - \gamma \cos \gamma}{\sin^3 \gamma}
\cdot \frac{\sin^4 \gamma}{(\gamma - \sin \gamma \cos \gamma)^2} +
\frac{\sin^2 \gamma}{\gamma - \sin \gamma \cos \gamma} \\
&=& 1.8 \: \frac{\sin \gamma(\sin \gamma - \gamma \cos \gamma)}
{(\gamma - \sin \gamma \cos \gamma)^2} +
\frac{\sin^2 \gamma}{\gamma - \sin \gamma \cos \gamma} \\
&<& \frac{1}{5} \, (\sin \gamma)(\sin \gamma - \gamma \cos \gamma) +
\frac{1}{3} \, \sin^2 \gamma \:, \hspace{0.25in}
\mbox{since } \: \gamma - \sin \gamma \cos \gamma > 3 \\
&<& \frac{\pi}{5} \, \sin \gamma + \frac{1}{3} \, \sin^2 \gamma \:, 
\hspace{1.25in} \mbox{since } \: \sin \gamma - \gamma \cos \gamma < \pi \\
&<& \frac{\pi}{5} \, \sin \! \left( \frac{2\pi}{3}+1 \right) + 
\frac{1}{3} \, \sin^2 \! \left( \frac{2\pi}{3}+1 \right) \\ 
&\approx& 0.0304 \: .
\end{eqnarray*}
\end{proof}

\begin{lemma}
When $\theta \in (1, \frac{\pi}{3})$, $0 < \frac{dM}{dv} < \frac{3}{8}$.
\end{lemma}

\begin{proof}
Recall that $M_2(w) = \frac{v}{1-v}(4(1+\sqrt{v})^{-2}-1)$. Thus

\begin{eqnarray*}
\frac{dM}{dv} &=&
\frac{(1-v)-v(-1)}{(1-v)^2} \left( \frac{4}{(1+\sqrt{v})^2} - 1 \right) +
\frac{v}{1-v} \left( \frac{-8}{(1+\sqrt{v})^3} \cdot \frac{1}{2\sqrt{v}}
\right) \\
&=& \frac{1}{(1-v)^2} \cdot \frac{4 - (1+\sqrt{v})^2}{(1+\sqrt{v})^2}
\: - \: 4 \, \frac{\sqrt{v}}{1-v} \cdot \frac{1}{(1+\sqrt{v})^3} \\
&=& \frac{(2+(1+\sqrt{v}))(2-(1+\sqrt{v}))}{(1-\sqrt{v})^2 (1+\sqrt{v})^4}
\: - \: \frac{4 \sqrt{v}}{(1-\sqrt{v})(1+\sqrt{v})^4} \\
&=& \frac{3+ \sqrt{v}}{(1-\sqrt{v})(1+\sqrt{v})^4}
\: - \: \frac{4 \sqrt{v}}{(1-\sqrt{v})(1+\sqrt{v})^4} \\
&=& \frac{3 - 3\sqrt{v}}{(1-\sqrt{v})(1+\sqrt{v})^4} \\
&=& \frac{3}{(1+\sqrt{v})^4} \: .
\end{eqnarray*}

\noindent Now, when $\theta > 1$, certainly $w > 1$, and thus $v > 1/2$. 
Therefore

$$\frac{dM}{dv} < \frac{3}{\left( 1+\frac{1}{\sqrt{2}} \right)^4} 
\approx 0.3532 \: .$$
\end{proof}

\begin{theorem}\label{asymp_big}
When $\theta > 1$, $A_2 < M_2$.
\end{theorem}

\begin{proof}
By the Fundamental Theorem of Calculus,

\begin{eqnarray*}
A_2(\theta) &=& A_2 \left( \frac{\pi}{3} \right) - 
\int_{\theta}^{\frac{\pi}{3}} \frac{dA}{d\lambda} \, d\lambda \: ,\\
M_2 \circ w(\theta) &=& M_2 \circ w \left( \frac{\pi}{3} \right) - 
\int_{\theta}^{\frac{\pi}{3}} \frac{dM}{d\lambda} \, d\lambda 
\: .
\end{eqnarray*}

\noindent But by Lemmas \ref{a_inc} and \ref{m_lim}, $A_2(\frac{\pi}{3}) 
= M_2 \circ w(\frac{\pi}{3}) = \half$. Also, by the lemmas in this section,

$$\frac{dM}{d\lambda} \:=\: \frac{dM}{dv} \cdot \frac{dv}{d\lambda} \:<\:
\frac{3}{8} \cdot \frac{1}{30} \:<\: \frac{1}{6} \:<\: \frac{dA}{d\lambda}$$
\newline 

\noindent when $\theta \in (1, \frac{\pi}{3})$. Thus 
$A_2 < M_2$ on this interval.
\end{proof}

\subsection{Proof of the conjecture}

\begin{theorem}\label{two-dim}
Conjecture \ref{mainconj} is true when $n=2$.
\end{theorem}

\begin{proof}
By Theorem \ref{asymp_small}, $A_2(w) < M_2(w)$ when

$$w \: \leq \: \left( \frac{2}{2} - \frac{1}{2 \cdot 2^1} - \frac{1}{\sqrt{3}}
\right)^2 \: = \: \left( \frac{3}{4} - \frac{1}{\sqrt{3}} \right)^2
\: \approx \: 0.02981 \:.$$

\noindent Using the formula for $w(\theta)$ from Lemma \ref{formulae}, we can check that

$$w < 0.02 \: \mbox{ when } \: \theta < -0.9 \: .$$

\noindent Also, Theorem \ref{asymp_big} tells us that $A_2 < M_2$ when 
$\theta > 1$. Thus the only remaining task is to check the
conjecture when $\theta \in[-0.9, 1]$. This is quite easy to do
numerically. Lemmas \ref{a_inc} and \ref{m_inc} tell us that both
functions are increasing, so the graph in Figure 8 is in fact
rigorous. Alternately, one can find a collection of angles $-0.9 = \theta_0 <
\theta_1 < \ldots < \theta_k = 1$ such that $A_2(\theta_i) < M_2 \circ w
(\theta_{i-1})$. One such collection is given below.

\begin{center}
% \begin{table}[h]
\begin{tabular}{|c|c|c|}
\hline
$\theta_i$ & $A(\theta_i)$ & $M \circ w(\theta_i)$ \\ \hline \hline
$\theta_0 = -0.9 $ & $0.0136 $ & $0.0259 $ \\ \hline
$\theta_1 = -0.84$ & $0.0245 $ & $0.0463 $ \\ \hline
$\theta_2 = -0.75$ & $0.0441 $ & $0.0824 $ \\ \hline
$\theta_3 = -0.6 $ & $0.0817 $ & $0.1484 $ \\ \hline
$\theta_4 = -0.4 $ & $0.1356 $ & $0.2349 $ \\ \hline
$\theta_5 = -0.05$ & $0.2299 $ & $0.3584 $ \\ \hline
$\theta_6 = 0.4  $ & $0.3446 $ & $0.4556 $ \\ \hline
$\theta_7 = 0.8  $ & $0.4414 $ & $0.4939 $ \\ \hline
$\theta_8 = 1    $ & $0.4888 $ & $0.4998 $ \\ \hline
\end{tabular}
% \end{table}
\end{center}

\end{proof}

\section{Centers of mass and inversion in spheres}

\subsection{Generalized centers of mass.}
Now that we have proved Conjecture \ref{mainconj} for $n=2$, we must
turn our attention to higher dimensions. Instead of approaching the
general problem from scratch, it would be much easier to somehow make
use of what we already know. In order to pass from the planar picture
to the higher-dimensional one, it becomes important to know the
relationship between the volumes of corresponding regions in different
dimensions.

Let $G_n \subset R^n$ ($n \geq 3$) be a measurable set invariant under
any rotation preserving the $x_1$-axis; that is, a region of
revolution. We can think of $G_n$ as being generated by a subset $G_2$
of the upper half-plane: $G_n$ is what we get when we ``revolve''
$G_2$ about the $x$-axis. More precisely, each point $(x,y) \in G_2$
corresponds to an $(n\!-\!2)$-sphere of radius $y$ in the
$(n\!-\!1)$-dimensional cross-section of $G_n$ whose first coordinate is
$x$. (See Figure 9.)  The surface area ($(n\!-\!2)$-dimensional measure) of
such a sphere is $(n\!-\!1) V(n\!-\!1) y^{n\!-\!2}$, in terms of the already
familiar constant $V(n\!-\!1)$ describing the volume of the unit $n\!-\!1$
ball. Now, this setup allows us to compute the volume of $G_n$:

$$\vol(G_n) = \int_{G_2} (n\!-\!1) \, V(n\!-\!1) \, y^{n\!-\!2} \, dA\: .$$

When $n=3$, the above setup brings to mind Pappus' Theorem:

$$\vol(G_3) = 2 \pi \, \overline{y} \, \area(G_2) \: ,$$

\noindent where $\overline{y}$ is the average distance of $G_2$ from the 
$x$-axis, {\it i.e.} the $y$-coordinate of its center of mass. One way
to compute the center of mass of a region is with the same integral
that we have above:

$$\overline{y} = \frac{\int_{G_2} y \, dA}{\area(G_2)} \: .$$

This suggests a way to generalize the notion of center of mass to
correspond to volumes of higher-dimensional regions of revolution.

\begin{definition}
Let $G$ be a bounded, measurable subset of the upper half-plane, and let $n
\geq 3$. We define the {\bf $n$-dimensional center of mass} $c_n(G)$
by

$$c_n(G) = \frac{\int_{G} y^{n\!-\!2} \, dA}{\area(G)} \: .$$
\end{definition}

Our computations above imply

\begin{lemma}\label{volume-cn}
Let $G_n \subset R^n$ be a bounded, measurable set invariant under rotations
about the $x_1$-axis. Let $G_2$ be its generating region in the upper
half-plane. Then

$$\vol(G_n) = (n\!-\!1) \, V(n\!-\!1) \, c_n(G_2) \, \area(G_2) \: .$$
\end{lemma}

The following two lemmas are also immediate consequences of the definition
of $c_n(G)$.

\begin{lemma}\label{averages}
Let $G$ and $H$ be disjoint, bounded, measurable subsets of the upper
half-plane. Then the $n$-dimensional center of mass of their union is
a weighted average of their centers of mass, the weights being the
respective areas. In other words,

$$c_n(G \cup H) = \frac{\area(G) \, c_n(G) + \area(H) \, c_n(H)}
{\area(G \cup H)} \: .$$
\end{lemma}

\begin{proof}
Obvious from the definition.
\end{proof}

\begin{lemma}\label{scaling}
Let $G$ be a bounded, measurable subset of the upper half-plane, and
let $\lambda G$ be the image of $G$ under scaling by some factor
$\lambda > 0$. Then

$$c_n(\lambda G) = \lambda^{n-2} \, c_n(G) \: .$$
\end{lemma}

\begin{proof}
Let $G_n \subset R^n$ be the region obtained by revolving $G$ around
the $x$-axis. Scaling by $\lambda$ increases the area of $G$ by a
factor of $\lambda^2$ and the volume of $G_n$ by a factor of
$\lambda^n$. The result now follows from Lemma \ref{volume-cn}.
\end{proof}

\subsection{Centers of mass of circular sectors}
In our problem, we are specifically concerned with regions bounded
between circles in $R^2$ or spheres in $R^n$. The following regions
turn out to be fundamental building blocks of double bubbles.

\begin{definition}
Consider a circle whose center lies on the $x$-axis, and a vertical
chord of length $2$ through the circle. Let $\theta$ be the internal
angle between the chord and the circular arc to the right of the chord.
(See Figure 10.) Let $G(\theta)$ be the region contained to the right
of the chord, inside the circle, and above the $x$-axis. (For any
$\theta \in (0, \pi)$, this construction defines $G(\theta)$ uniquely up to
horizontal translation.) For each $n \geq 3$, define a function $f_n$
on $(0, \pi)$ by

$$f_n(\theta) = c_n(G(\theta)) \: .$$
\end{definition}

\begin{lemma}\label{subsnag}
For each $n \geq 3$, $f_n(\theta)$ is strictly increasing in $\theta$.
\end{lemma}

\begin{proof}
In order to make it easier to compute an explicit formula for
$f_n(\theta)$, let us rescale the picture so that $G(\theta)$ is a
sector of the unit circle. Since the radius of the original circle is
$1/\sin(\theta)$, we need to scale by a factor $\lambda =
\sin(\theta)$. After scaling, $\lambda G(\theta)$ is the subset of the
unit circle above the $x$-axis and to the right of the line $x =
\cos(\theta)$. By Lemma \ref{sector-area}, the area of this region is

$$
\area(\lambda G(\theta)) = \half \, \sin^2 \theta \, \ff(\theta)
= \frac{\theta - \sin \theta \cos \theta}{2} \: .
$$

\noindent Now,

\begin{eqnarray*}
f_n(\theta) 
&=& \frac{1}{\lambda^{n-2}} \frac{\int_{\lambda G(\theta)} y^{n-2} \, dA}
{\area(\lambda G(\theta))} \\
&=& \frac{2 \int_{\cos \theta}^1 \int_0^{\sqrt{1-x^2}} y^{n-2} \, dy \, dx}
{\sin^{n-2} \theta(\theta - \sin \theta \cos \theta)} \\
&=& \frac{2 \int_{\cos \theta}^1 \frac{1}{n-1} \sqrt{1-x^2}^{n-1} \, dx}
{\sin^{n-2} \theta(\theta - \sin \theta \cos \theta)} \\
&=& \frac{2}{n-1} \cdot \frac{\int_{\theta}^{0} \sin^{n-1} u (-\sin u) \, du}
{\sin^{n-2} \theta(\theta - \sin \theta \cos \theta)} \\
&=& \frac{2}{n-1} \cdot \frac{\int_{0}^{\theta} \sin^n u \, du}
{\sin^{n-2} \theta(\theta - \sin \theta \cos \theta)} \: .
\end{eqnarray*}

To write the derivative of $f_n(\theta)$ explicitly, without any
integrals, one needs to use the messy sum formula for
$\int_{0}^{\theta} \sin^n u \, du$. Instead of doing this, we resort
to a trick. Define a function $g_n(\theta)$ by

$$g_n(\theta) = \frac{(\sin^{n+1} \theta)(\theta - \sin \theta\cos
\theta)}{\theta (n\!-\!2) \cos \theta + n \sin^3 \theta - (n\!-\!2)
\sin \theta} - \int_{0}^{\theta} \sin^n(u) \, du$$

It is easy to check that $g_n(\theta)$ is related to $f_n'(\theta)$ by

$$f_n'(\theta) = g_n(\theta) \cdot \frac{2}{n-1} \cdot \frac{\theta (n\!-\!2)
\cos \theta + n \sin^3 \theta - (n\!-\!2) \sin \theta}{(\sin^{n-1} \theta)
(\theta - \sin \theta \cos \theta)^2} \: .$$

We shall prove that $f_n'(\theta) > 0$ by considering the sign of
$g_n(\theta)$ and of the expression multiplying it. In the expression
above, the denominator is always positive. However, the numerator

$$\theta \, (n-2) \cos \theta + n \, \sin^3 \theta - (n-2) \, \sin 
\theta$$ 

\noindent changes sign once on $(0, \pi)$: it is positive on $(0,
b_n)$ and negative on $(b_n, \pi)$ for some bound $b_n > \pi/2$. On
$(b_n, \pi)$, $g_n(\theta)$ is negative and the factor multiplying it
is also negative, making $f_n'(\theta)$ clearly positive. At
$\theta=b_n$, when this expression is $0$, $f_n'(b_n)$ is easily seen
to be positive by computing it directly. (Thus the fact that
$g_n(\theta)$ has a discontinuity at $b_n$ does not concern us.)

On $(0, b_n)$, we need to prove that $g_n(\theta) > 0$; this takes
some work.  For starters,

\begin{eqnarray*}
\lim_{\theta \to 0} g_n(\theta)
&=& \lim_{\theta \to 0} \left( \frac{(\sin^{n+1} \theta)(\theta -
\sin \theta \cos \theta)}{\theta \, (n-2) \cos \theta + n \, \sin^3 \theta 
- (n-2) \, \sin \theta} - \int_{0}^{\theta} \sin^n(u) \, du \right) \\
&=& \lim_{\theta \to 0} \: \frac{(\sin^{n+1} \theta)(\theta - \sin \theta\cos
\theta)}{\theta \, (n-2) \cos \theta + n \, \sin^3 \theta - (n-2) \, 
\sin \theta} \\
&=& 0 \: ,
\end{eqnarray*}

\noindent because the numerator has a zero of order at least $n\!+\!2 \geq
5$ at $0$, and the denominator has a zero of order $3$. To complete
the proof, we show that $g_n(\theta)$ is strictly increasing for as
long as it's continuous; then it will have to be positive for $\theta
\in (0, b_n)$.

\begin{eqnarray*}
g_n'(\theta) &=& \frac{(\theta (n\!-\!2) \cos \theta + n \sin^3 \!
\theta - (n\!-\!2) \sin \theta)(\theta (n\!+\!1) \sin^n \! \theta \cos
\theta + (n\!+\!3) \sin^{n+3} \! \theta - (n\!+\!1) \sin^{n+1} \! \theta)}
{(\theta \, (n-2) \cos \theta + n \, \sin^3 \theta - (n-2) \, \sin 
\theta)^2} \\
& & - \:\frac{(\sin^{n+1} \theta)(\theta - \sin \theta\cos
\theta)(3n \, \sin^2 \theta \cos \theta - \theta \, (n-2) \sin \theta)}
{(\theta \, (n-2) \cos \theta + n \, \sin^3 \theta - (n-2) \, \sin 
\theta)^2} - \sin^n \theta \: .
\end{eqnarray*}

Since we are only concerned with the sign of $g_n'(\theta)$, we may
multiply through by the denominators and factor out $\sin^n
\theta$. This gives us

\begin{eqnarray*}
h_n(\theta) &=&
(\theta (n\!-\!2) \cos \theta + n \sin^3 \!
\theta - (n\!-\!2) \sin \theta)(\theta (n\!+\!1) \cos
\theta + (n\!+\!3) \sin^3 \! \theta - (n\!+\!1) \sin \theta) \\
& & \hspace{0.25in} - \: (\theta - \sin \theta\cos
\theta)(3n \, \sin^3 \theta \cos \theta - \theta \, (n\!-\!2) \sin^2 \theta) \\
& & \hspace{0.25in} - \: (\theta \, (n\!-\!2) \cos \theta + n \, \sin^3 \theta - (n\!-\!2) \, \sin \theta)^2 \\
&=& (\theta (n\!-\!2) \cos \theta + n \sin^3
\theta - (n\!-\!2) \sin \theta)(3 \theta \cos
\theta + 3 \sin^3  \theta - 3 \sin \theta) \\
& & \hspace{0.25in} - \: (\theta - \sin \theta\cos
\theta)(3n \, \sin^3 \theta \cos \theta - \theta \, (n\!-\!2) \sin^2 \theta) \\
&=& (3n\!-\!6)\theta^2 \cos^2 \! \theta + 3n \sin^6 \! \theta + 
(3n\!-\!6)\sin^2 \! \theta + (6n\!-\!6) \theta \sin^3 \! \theta \cos \theta \\
& & \hspace{0.25in} - \: (6n\!-\!12) \theta \sin \theta \cos \theta 
- (6n\!-\!6) \sin^4 \! \theta - 3n \theta \sin^3 \theta \cos \theta \\
& & \hspace{0.25in} + \: (n\!-\!2) \theta^2 \sin^2 \! \theta + 3n \sin^4 
\theta \cos^2 \theta - (n\!-\!2) \theta \sin^3 \theta \cos \theta \\
&=& (3n\!-\!6)\theta^2 \cos^2 \! \theta + (n\!-\!2) \theta^2 \sin^2 \! 
\theta + (2n\!-\!4) \theta \sin^3 \! \theta \cos \theta - (6n\!-\!12) \theta \sin \theta \cos \theta \\
& & \hspace{0.25in} + \: (3n\!-\!6)\sin^2 \! \theta + 3n \sin^6 \! \theta
+ 3n \sin^4 \theta \cos^2 \theta - (6n\!-\!6) \sin^4 \! \theta \\
&=& (n\!-\!2) \theta^2 + (2n\!-\!4) \theta^2 \cos^2 \! \theta + (2n\!-\!4) 
\theta \sin \theta \cos \theta \, (\sin^2 \! \theta - 1) \\
& & \hspace{0.25in} - \: (4n\!-\!8) \theta \sin \theta \cos \theta + 
(3n\!-\!6) \sin^2 \! \theta + 3n \sin^4 \! \theta 
- (6n\!-\!6) \sin^4 \! \theta \\
&=& (n\!-\!2) \theta^2 - (n\!-\!2) \theta \sin \theta \cos \theta 
+ (2n\!-\!4) \theta^2 \cos^2 \! \theta + (2n\!-\!4) 
\theta \sin \theta \cos^3 \! \theta \\
& & \hspace{0.25in} - \: (3n\!-\!6) \theta \sin \theta \cos \theta + 
(3n\!-\!6) \sin^2 \! \theta - (3n\!-\!6) \sin^4 \! \theta \\
&=& (n\!-\!2)(\theta^2 - \theta \sin \theta \cos \theta) + (n\!-\!2)
(2 \theta^2 \cos^2 \! \theta - 2 \theta \sin \theta \cos^3 \! \theta) \\
& & \hspace{0.25in} - \: (n\!-\!2)(3 \theta \sin \theta \cos \theta 
- 3 \sin^2 \! \theta \cos^2 \! \theta) \\
&=& (n\!-\!2)(\theta - \sin \theta \cos \theta)(\theta + 2 \theta \cos^2 \! 
\theta - 3 \sin \theta \cos \theta) \: .
\end{eqnarray*}

Now, $(n\!-\!2)(\theta - \sin \theta \cos \theta) > 0$ whenever
$\theta > 0$ and $n \geq 3$, so this term is not a concern. To show
that

$$k(\theta) = (\theta + 2 \theta \cos^2 \! \theta - 3 \sin \theta
\cos \theta) > 0 \: ,$$

\noindent observe that this term equals zero at $0$. We will show that it
increases on $(0, \pi)$, guaranteeing that it will be positive.

\begin{eqnarray*}
k'(\theta) &=& 1 + 2 \cos^2 \theta - 4 \theta \sin \theta \cos \theta 
- 3 \cos^2 \theta + 3 \sin^2 \theta \\
&=& 4 \sin^2 \theta - 4 \theta \sin \theta \cos \theta \\
&=& 4 \sin \theta \, (\sin \theta - \theta \cos \theta) \\
&>& 0 \mbox{ when } \theta \in (0, \pi) \: .
\end{eqnarray*}

Thus $h_n(\theta) > 0$ for $n \geq 3$, implying that $g_n(\theta)$ is
increasing and therefore positive. This completes the proof.
\end{proof}

\subsection{Back to double bubbles: inversion in spheres}

Now we have the tools to prove the result that will be useful in
generalizing our results about two-dimensional bubbles to higher
dimensions. As a motivation for the following theorem, notice that
the bubble of volume $1$ is the image, under inversion in the
separating cap, of the bubble of volume $w$. Regions $R_0$ and $R_1$
are also symmetric with respect to inversion in a sphere, as are
regions $R_2$ and $R_3$.

\begin{theorem}\label{inversion}
Let $D \subset R^2$ be a closed disk, centered on the positive
$x$-axis, and not containing the origin. Let $G$ be the intersection
of the unit disk with the upper half of $D$. Let $H$ be the image
of $G$ under inversion in the unit circle. Then, for each $n \geq 3$,

$$c_n(G) < c_n(H) \: .$$
\end{theorem}

\begin{proof}
Suppose first that $D$ is entirely contained in the unit disk. Then
$G$ is just a half-disk, and its image $H$ is also a half-disk,
congruent to $\lambda G$ for some scaling factor $\lambda > 1$. Then
$c_n(G) < c_n(H)$ by Lemma \ref{scaling}.

If, on the other hand, $D$ is not contained in the unit disk, we can
draw a vertical chord connecting the two points where $\boundary D$
intersects the unit circle. This chord divides $G$ into two regions,
$R$ and $S$ (See Figure 11.) Let $\alpha$ be the internal angle between
the vertical chord and the unit circle, and $\beta$ the angle between
the vertical chord and $\boundary D$. Because inversion is conformal,
the internal angle of $H$ at the same vertex is $\alpha + \beta$. The
length of the vertical segment between this vertex and the $x$-axis is
$\lambda = \sin(\alpha)$, so we see that $R$, $S$, and $S \cup H$ are
congruent to $\lambda G(\beta)$, $\lambda G(\alpha)$, and $\lambda
G(2\alpha+\beta)$, respectively.

By Lemma \ref{subsnag}, $f_n(2\alpha+\beta) > f_n(\alpha)$, so $c_n(S
\cup H) > c_n(S)$. Since (by Lemma \ref{averages}) $c_n(S \cup H)$ is a 
weighted average of $c_n(S)$ and $c_n(H)$, this implies that

$$c_n(S) < c_n(S \cup H) < c_n(H) \: .$$

\noindent Applying Lemma \ref{subsnag} again, we see that $f_n(\beta) < 
f_n(2\alpha+\beta)$, and thus

$$c_n(R) < c_n(S \cup H) < c_n(H) \: .$$

\noindent Therefore, since both $c_n(R) < c_n(H)$ and $c_n(S) < c_n(H)$, 
we can conclude (again by taking weighted averages) that

$$c_n(G) = c_n(R \cup S) < c_n(H) \: .$$
\end{proof}

\begin{corollary}\label{snag}
Let $G_n \subset R^n$ be the intersection of two closed $n$-balls
$B_1$ and $B_2$, not containing the center of $B_1$. Let $H_n$ the the
image of $G_n$ under inversion in the boundary of $B_1$. Let $G_2$ and
$H_2$ be the ``generating regions'' for $G_n$ and $H_n$, respectively,
in any half-plane through the centers of $B_1$ and $B_2$. (See Figure
12.) Then

$$ \frac{\area(H_2)}{\area(G_2)} < \frac{\vol(H_n)}{\vol(G_n)} \: .$$
\end{corollary}

\begin{proof}
Translating, rotating, and scaling the whole picture will not change
the ratios of areas and volumes. Thus we may assume that $B_1$ is the
unit ball, and that the center of $B_2$ lies on the positive
$x_1$-axis. Thus $c_n(G_2) < c_n(H_2)$, and the result follows by
Lemma \ref{volume-cn}.
\end{proof}

Given these results, it is natural to ask if Theorem
\ref{inversion} applies in a more general context than regions bounded 
between circles. It turns out that if we let $G$ be any measurable
subset of the upper half-disk whose closure excludes the origin, and
$H$ its image under inversion, then it no longer follows that $c_n(G)
< c_n(H)$. Counterexamples exist where $G$ is the union of two
half-disks centered on the $x$-axis. For one specific numerical
example, let G consist of the upper halves of $B(0.7, 0.003)$ and
$B(0.98, 0.01)$. Then we have

$$c_3(G) \approx 0.0039988 \hspace{0.5in} c_3(H) \approx 0.0039158 \: ,$$

\noindent violating the desired inequality. Other counterexamples can 
be constructed that violate the inequality for $c_3$ and also for
$c_n$ with higher values of $n$. However, in all of the
counterexamples known to us, $G$ is either a disjoint union of several
pieces, or else a region whose parts are connected by very narrow
corridors. These examples lead us to conjecture that the key
sufficient condition is convexity.

\begin{conjecture}\label{convex-conj}
Let $G$ be a closed, convex subset of the upper half of the unit disk,
that does not contain the origin. Let $H$ be the image of $G$ under
inversion in the unit circle. Then $c_n(G) < c_n(H)$.
\end{conjecture}

\section{Generalizing from $R^2$ to $R^n$}

To show that Conjecture \ref{mainconj} for $n=2$ implies the conjecure
for $n>2$, we have to consider the cases $w \geq 1$ and $w < 1$
separately. In the former case, we have a proof using Lemma
\ref{m_gen} and Corollary \ref{snag}; but in the latter case much remains 
unknown.

\subsection{Case $1$: $w \geq 1$}

\begin{theorem}\label{w_small}
Conjecture \ref{mainconj} holds for all $n \geq 2$ when $w \geq 1$.
\end{theorem}

\begin{proof}
Theorem \ref{two-dim} states the result for $n=2$, and we know (by
Lemma \ref{m_gen}) that $M_n(w) > M_2(w)$ when $n>2$. Thus if we can
prove that $A_n(w) < A_2(w)$ when $n>2$, we will have the result for
general $n$. This can be shown when $w \geq 1$.

Consider our problem in $R^2$, and suppose $w>1$. Then the bubble of
area $1$ can be obtained from the bubble of area $w$ by inversion in
the separating cap, with the latter bubble on the outside. Call the
regions occupied by these two bubbles $G_2$ and $H_2$,
respectively. Now, consider the double bubble in $R^n$ where the three
spherical caps have the same radii as the corresponding caps in $R^2$,
and let $G_n$ and $H_n$ be the regions that correspond to $G_2$ and
$H_2$, respectively. Then, by Corollary \ref{snag},

$$ \frac{w}{1} < \frac{\vol(H_n)}{\vol(G_n)} \: .$$

Now, scaling the bubbles in $R^n$ to make the small bubble have volume
1 will give the big bubble volume $w' = \vol(H_n) / \vol(G_n)$. Thus
we know that $w<w'$. (It is useful to note at this point that if
$w=1$, then the two bubbles are symmetric with respect to a plane, so
$w=w'=1$ in this case. In general, for $w \geq 1$, we have $w \leq
w'$.)

Recall also that the bubble $G_2$ of area $1$ is composed of regions
$R_2$ and $R_3$, symmetric under inversion in a circle, with $R_2$
inside the circle. Similarly, $G_n$ is composed of regions $R'_2$ and
$R'_3$. Corollary \ref{snag} tells us that

$$ \frac{B_2}{A_2} = \frac{\vol(R_3)}{\vol(R_2)} 
< \frac{\vol(R'_3)}{\vol(R'_2)} = \frac{B_n}{A_n} \: .$$

As usual, we write $A_2=A_2(w)$. Furthermore, because $R'_2$ and
$R'_3$ make up the small bubble that has volume $1$ when the big
bubble has volume $w'$, we also have $A_n = A_n(w')$. Thus

\begin{eqnarray*}
1 + \frac{B_2(w)}{A_2(w)} &<& 1+ \frac{B_n(w')}{A_n(w')} \\
\frac{A_2(w) + B_2(w)}{A_2(w)} &<& \frac{A_n(w') + B_n(w')}{A_n(w')} \\
\frac{1}{A_2(w)} &<& \frac{1}{A_n(w')} \\
A_n(w') &<& A_2(w) \: .
\end{eqnarray*}

\noindent But since $A_n$ is an increasing function, we have

$$ A_n(w) \leq A_n(w') < A_2(w) \: .$$
\end{proof}

\subsection{Case $2$: $w < 1$}
At the moment, very little can be said conclusively about this
case. Of course, the asymptotic result of Theorem \ref{asymp_small}
applies in general dimension, and thus the conjecture only needs to be
checked in the interval $(\epsilon_n, 1)$ for each $n$. Following the
example of section 3, we could derive explicit formulae for
$A_n(\theta)$ and $w_n(\theta)$, using integrals to express
volume. Then the conjecture could be verified numerically for any
desired dimension. So if the truth of Conjecture \ref{mainconj} with
some specific $n$ is needed for some particular application, this
method can furnish the result. However, the formulae would get harder
and harder to compute for large $n$, and in any case, one cannot
numerically check infinitely many dimensions.

I am aware of two other approaches that could potentially be
fruitful. The first is to prove an estimate of just {\it how much}
$M_n(w)$ increases with $n$ for small $w$; the increase seems to
become more dramatic the smaller $w$ gets. Then, even though $A_n(w)$
also increases with $n$, one can hope to prove that it increases {\it
less}. This seems very difficult to carry out.

The second approach is to somehow use the (so far unutilized) symmetry
of the double bubble. That is, region $R_2$ (of volume $A_n(w)$) in
the $(w,1)$ double bubble is a scaled copy of region $R_1$ in the
$(\frac{1}{w},1)$ double bubble. If we rescale the problem to deal
with double bubbles of volumes $(v, 1-v)$ instead of $(w,1)$, then
region $R_2$ in the $(v,1-v)$ double bubble is an {\it exact copy} of
region $R_1$ in the $(1-v,v)$ double bubble. Perhaps this symmetry
could allow us to use the result about large volumes to prove the
corresponding result about small volumes. This seems to be the most
promising line of thought, although it too has not been easy so far.


\end{document}

