Monday, August 25, 2014
Friday, August 15, 2014
Saturday, August 9, 2014
A nice piece on the Fields medal
Friday, May 16, 2014
Quillen Notebooks | Clay Mathematics Institute
Quillen Notebooks | Clay Mathematics Institute
Sunday, April 13, 2014
The unspoken stresses of a research career
Friday, April 4, 2014
Thursday, March 13, 2014
How to Fix Issues with MathJax and Blogger Preview
Clueless Fundatma: Issues with MathJax and Blogger Preview
Wednesday, March 12, 2014
Random convex polygons I.
A few months ago, in the coffee room of our department, I stumbled on an older Bulletin A.M.S and, since I did not have anything pressing to do, I opened it and saw a nice survey by a Hungarian mathematician called Imre Barany. I was intrigued by the title of this beautiful survey: Random points and lattice points in convex bodies. I found many marvelous questions there, questions that never came close to my mind.
One of the problems mentioned in that survey was a problem posed and solved by Renyi and Sulanke sometime in the 60s. Unfortunately, their results were written in German which for me is synonym with Verboten. I tried to find an English source for this paper, and all my Google searches were fruitless. Still, I was very curious how they did it. So, armed with Google Translate, patience and curiosity I proceeded to read the first of their 3 papers. What follows is an exposition of a small part of the first paper. For more details you can look in the first paper of Renyi-Sulanke, that is, if you know enough German to read a math paper. First the problem. $\newcommand{\bR}{\mathbb{R}}$ $\DeclareMathOperator{\area}{Area}$
Suppose that $C$ is a compact convex region in the plane with nonempty interior. Assume that the origin is in the interior of $C$ and $\area(C)=1$. Choose $n$ points $P_1,\dotsc, P_n\in C$ randomly, independently and uniformly distributed. (In technical terms, we choose $n$ independent $\bR^2$-valued random variables with probability distribution $I_Cdxdy$, where $I_C$ is the characteristic function of $C$.) We denote by $\Delta_n=\Delta_n(P_1,\dotsc, P_n)$ the convex hull of this collection of points. This is a convex polygon and we denote by $V_n=V_n(P_1,\dotsc, P_n)$ its number of vertices, by $L_n=L_n(P_1,\dotsc, P_n)$ its perimeter and by $A_n=A_n(P_1,\dotsc, P_n)$ its area. These are random variables and we denote by$\newcommand{\bE}{\mathbb{E}}$ $\bE(V_n)$, $\bE(L_n)$ and respectively $\bE(A_n)$ their expectations. Reny and Sulanke asked to describe the behavior of these expectations as $n\to\infty$. $\newcommand{\bP}{\mathbb{P}}$
Surprisingly, the answer depends in a dramatic fashion on the regularity of the boundary $\newcommand{\pa}{\partial}$ $\pa C$ of $C$. Here I only want to investigate the behavior of $\bE(V_n)$, the expected number of vertices of $\Delta_n$ when $\pa C$ is smooth and has positive curvature at every point. The final answer is the asymptotic relation (\ref{RSv}).
For two points $P,Q\in C$ we denote by $L(P,Q)$ the line determined by them. Denote by $\bP(P,Q)$ the probability that $(n-2)$ points chosen randomly from $C$ lie on the side of $L(P,Q)$. For $i\neq j$ we denote by $E_{ij}$ the event that all the points $P_k$, $k\neq i,j$ lie on the same side of of $L(P_i,P_j)$.
The first crucial observation, one that I missed because I am still not thinking as a probabilist, is that
\begin{equation}
V_n=\sum_{i<j} I_{E_{ij}}.
\end{equation}
In particular,
\[
\bE(V_n)=\sum_{i<j}\bE( I_{E_{ij}})= \sum_{i<j}\bP(E_{ij}).
\]
Since the points $\{P_1,\dotsc, P_n\}$ are independent and identically distributed we deduce that
\[
\bP(E_{ij})=\bP(E_{i'j'}),\;\;\forall i<j,\;\;i'<j'.
\]
We denote by $p_n$ the common probability of the events $E_{ij}$. Hence
\begin{equation}
\bE(V_n)=\binom{n}{2} p_n.
\end{equation}
To compute $p_n =\bP(E_{12})$ we observe that
\[
\bP(E_{12}) =\int_C\int_C \bP(P_1,P_2) dP_1dP_2.
\]
The line $L(P_1,P_2)$ divides the region $C$ into two regions $R_1, R_2$ with areas $a_1(P_1,P_2)$ and $a_2$. The probability that $n-2$ random independent points from $C$ lie in $R_1$ is $a_1(P_1,P_2)^{n-2}$ and the probability $n-2$ random independent points from $C$ lie in $R_2$ is $a_2(P_1,P_2)^{n-2}$. We set
\[
a(P_1,P_2):=\min\bigl\{ a_1(P_1,P_2),\;a_2(P_1,P_2)\}
\]
and we deduce that
\[
\bP(P_1,P_2)= a(P_1,P_2)^{n-2}+\bigl(\;1-a(P_1,P_2)\;\bigr)^{n-2},
\]
\begin{equation}
\bE(V_n)=\binom{n}{2}\int_C\int_C\Bigl\{ \; a(P,Q)^{n-2}+\bigl(\;1-a(P,Q)\;\bigr)^{n-2}\;\bigr\} dPdQ.
\end{equation}
Since $a(P,Q)^{n-2}\leq \frac{1}{2^{n-2}} $, we deduce that
\begin{equation}
\bE(V_n)\sim \binom{n}{2} \int_C\int_C \bigl(1-a(P,Q)\bigr)^{n-2} dPdQ\;\;\mbox{as $n\to\infty$}.
\label{4}
\end{equation}
To proceed further we need to use a formula from integral geometry. Renyi and Sulanke refer to another German source, a book of integral geometry by Blaschke. Fortunately, there is a very good English substitute to Blaschke's book that contains a myriad of exotic formulas. I am referring of course to Luis Santalo's classical monograph Integral Geometry and Geometric Probability. (Santalo was Blaschke's student.)
In Chapter 4, section 1, Santalo investigates the density of pairs of points, more precisely the measure $dPdQ$ used in (\ref{4}). More precisely, he discusses a clever choice of coordinates that is particularly useful in integral geometry.
The line $L(P,Q)$ has a normal $\newcommand{\bn}{\boldsymbol{n}}$ $\bn=\bn(p,q)$
\[
\bn =(\cos \theta,\sin \theta), \;\;\theta\in [0,2\pi],
\]
and it is described by a linear equation.
\[
x\cos \theta+y\sin \theta = p,\;\;p\geq 0.
\]
Once we fix a linear isometry $ T: L(P,Q)\to \bR $, we can identify $P,Q$ with two points $t_1,t_2\in \bR$. Note that $|dt_1dt_2|$ and $|t_1-t_2|$ are independent of the choice of $T$. Santalo op. cit. shows that
\[
|dPdQ|=|t_1-t_2| |dp d\theta dt_1dt_2|.
\]
Now observe that the line $L(P,Q)$ is determined only by the two parameters $p,\theta$ so we will denote it by $L(p,\theta)$. Similarly, $a(P,Q)$ depends only on $p$ and $\theta$ and we will denote it by $a(p,\theta)$. We set
\[
p_0(\theta)=\max\{ s;\;\;s\geq 0, s\bn(\theta)\in C\,\bigr\}.
\]
We denote by $S(p,\theta)$ the segment on $L(p,\theta)$ cut-out by $C$ and by $\ell(p,\theta)$ its length.
\begin{equation}
\bE(V_n)\sim \binom{n}{2}\int_0^{2\pi}\int_0^{p_0(\theta)}\bigl(1-a(p,\theta)\;\bigr)^{n-2}\left(\int_{S(s,\theta)\times S(s,\theta)} |t_1-t_2|dt_1dt_2\right) dp d\theta.
\end{equation}
Observing that for any $\ell>0$ we have
\[
\int_{[0,\ell]\times[0,\ell]}|x-y|dxdy=\frac{ \ell^3}{3}
\]
we deduce
\begin{equation}
\bE(V_n)\sim \frac{1}{3}\binom{n}{2}\int_0^{2\pi}\int_0^{p_0(\theta)}\bigl(1-a(p,\theta)\;\bigr)^{n-2}\ell(s,\theta)^3dp d\theta.
\end{equation}
Now comes the analytical part. For each $\theta\in [0,2\pi]$ we set
\[
I_n(\theta):=\frac{1}{3}\binom{n}{2}\int_0^{p_0(\theta)}\bigl(1-a(p,\theta)\;\bigr)^{n-2}\ell(s,\theta)^3dp ,
\]
so that
\[
\bE(V_n)\sim \int_0^{2\pi} I_n(\theta) d\theta.
\]
Renyi and Sulanke find the asymptotics of $I_n(\theta)$ as $n\to \infty$ by a disguised version of the old reliable Laplace method.
Fix $\theta\in [0,2\pi]$ and set $\newcommand{\ii}{\boldsymbol{i}}$ $\newcommand{\jj}{\boldsymbol{j}}$ $\bn(\theta)=\cos \theta \ii +\sin\theta\jj\in\bR^2$. Since the curvature of $\pa C$ is strictly positive there exists a unique point $P(\theta)\in \pa C$ such that the unit outer normal to $\pa C$ at $P(\theta)$ is $\bn(\theta)$.
For simplicity we set $a(p):=a(p,\theta)$. For $p\in [0,p_0(\theta)]$ we denote by $A(p)=A(p,\theta)$ the area of the cap of $C$ determined by the line $L(p,\theta)$ and the tangent line to $\pa C$ at $P(\theta)$ $x\cos\theta+y\sin\theta=p_0(\theta)$. In Figure 1 below, this cap is the yellow region between the green and the red line.
\begin{equation}
\si_0<\inf_{\theta\in [0,2\pi]} p_0(\theta) .
\end{equation}
\begin{equation}
a(p,\theta)=A(p,\theta),\;\;\forall p\in [\si_0,p_0(\theta)].
\end{equation}
\begin{equation}
c<a(p,\theta)\leq\frac{1}{2},\;\;\forall p\in [0,s_0].
\label{low}
\end{equation}
\begin{equation}
\frac{d\ell}{dp}<0\;\;\mbox{on $[\si_0,p_0]$}.
\end{equation}
We have
\[
I_n(\theta)\sim\frac{n^2}{6}\int_0^{p_0(\theta)}\bigl(1-a(p)\,\bigr)^{n-2} \ell(p) dp
\]
\[
=\underbrace{\frac{n^2}{6}\int_0^{\si_0}\bigl(1-a(p)\,\bigr)^{n-2} \ell(p) dp}_{=:I_n^0(\theta)}+\frac{n^2}{6}\underbrace{\int_{\si_0}^{p_0(\theta)}\bigl(1-a(p)\,\bigr)^{n-2} \ell(s) dp}_{=J_n(\theta)}.
\]
The condition (\ref{low}) implies that as $n\to\infty$ we have $I_n^0(\theta)=o(1)$, uniformly in $\theta$. Thus
\begin{equation}
I_n(\theta)\sim\frac{n^2}{6} J_n(\theta),\;\;n\to\infty.
\end{equation}
We will use Laplace's method to estimate $J_n(\theta)$. We introduce a new variable $\tau=\tau(p)=p_0(\theta)-p$, $s\in [\si_0, p_0(\theta)]$ so that $\tau\in [0,\tau_0(\theta)]$, $\tau_0(\theta)=p_0(\theta)-\si_0$. Geometrically, $\tau$ denotes the distance to the tangent line $L(p_0(\theta),\theta)$.
We will denote by $L(\tau)$ the line $L(p,\theta)$. Thus, as $\tau$ increases the line $L(\tau)$ moves away from the boundary point $P(\theta)$ and towards the origin. Similarly, we set $a(\tau)=a(p)=a(p,\theta)$ etc. Hence
\[
J_n(\theta)=\int_0^{\tau_0} \bigl(1-a(\tau))^{n-2}\ell(\tau)^3 d\tau.
\]
Observe first that for along the interval $[0,\tau_0]$ we have
\[
\frac{d a}{d\tau}=\frac{dA}{d\tau}=\ell(\tau).
\]
The line $L(\tau)=L(p,\theta)$ intersects the osculating circle to $\pa C$ at $P(\theta)$ along a chord of length $\bar{\ell}(\tau)$. We set $t:=\sqrt{\tau}$. From the definition of the osculating circle we deduce
\[
\ell(t)=\bar{\ell}(t)(1+o(1)),\;\;\frac{d\ell}{dt}=\frac{d\bar{\ell}}{dt}(1+o(1))\;\;\mbox{as $t\to 0$}.
\]
If $r=r_\theta$ denotes the radius of the osculating circle so that $\frac{1}{r_\theta}$ is the curvature of $\pa C$ at $P(\theta)$, then
\[
\bar{\ell}(\tau)= 2\sqrt{r^2-(r-\tau)^2}=2\sqrt{2r\tau-\tau^2}= 2\sqrt{\tau}\sqrt{2r-\tau}=2t\sqrt{2r-t^2}.
\]
Hence
\[
\frac{d\bar{\ell}}{dt}|_{t=0}=2\sqrt{2r}
\]
We denote the $t$-derivative by an upper dot $\dot{}$. Note that
\begin{equation}
\dot{a}=\frac{d\tau}{dt}\frac{da}{d\tau}= 2t\ell(t),\;\;\dot{\ell}(t)=\dot{\ell}(0)+O(t)=2\sqrt{2r}+O(t).
\label{dota}
\end{equation}
We deduce
\begin{equation}
J_n(\theta)=2\int_0^{t_0} \bigl( 1-a(t)\bigr)^{n-2} \ell(t)^3tdt,\;\;t_0=\sqrt{\tau_0}.
\end{equation}
Note that
\[
\ddot{a}(t)=2\ell(t)+2t\dot{\ell}(t),\;\;\frac{d^3a}{dt^3}=4\dot{\ell}(t)+2t\ddot{\ell}(t),
\]
so that
\[
a(0)=\dot{a}(0)=\ddot{a}(0)=0, \;\;\frac{d^3 a}{dt^3}|_{t=0}= 4\dot{\ell}(0)=8\sqrt{2r}.
\]
We deduce
\[
a(t)=\frac{8\sqrt{2r}}{6}t^3+O(t^4)= \underbrace{\frac{4\sqrt{2r}}{3}}_{=:C(r)}\;\;t^3+O(t^4).
\]
We set
\[
\nu:=(n-2),\;\; w_\nu(t)= \bigl( 1-a(t)\bigr)^{\nu} \ell(t)^3t,
\]
\[
\frac{u}{\nu}:=C(r)t^3\iff t=\left(\frac{u}{C(r)\nu}\right)^{\frac{1}{3}}.
\]
Note that
\[
\ell(t)^3=\bigl( 2\sqrt{2r}t+O(t^2)\;\bigr)^3=(6C(r) t)^3 + O(t^4).
\]
Hence
\[
w_\nu(t)dt = \left( 1-\frac{u}{\nu} +O\left(\frac{u}{\nu} \right)^{4/3}\;\right)^\nu \left(\frac{((6C(r))^3}{C(r)\nu} u+ O\left(\frac{u}{\nu}\right)^{4/3}\;\right) \left(\frac{u}{C(r)\nu}\right)^{1/3}\left(\frac{1}{C(r)\nu}\right)^{1/3}\frac{1}{3}u^{-2/3} du
\]
\[
=\frac{(6C(r))^3}{3C(r)^{5/3}\nu^{5/3}} \left( 1-\frac{u}{\nu} +O\left( \frac{u}{\nu} \right)^{4/3}\;\right)^\nu u^{2/3} \left( 1+ O\left(\frac{u^{1/3}}{\nu^{1/3}}\right)\;\right) du
\]
\[
=\frac{6^3C(r))^{4/3}}{3\nu^{5/3}} \left( 1-\frac{u}{\nu} +O\left( \frac{u}{\nu} \right)^{4/3}\;\right)^\nu u^{2/3} \left( 1+ O\left(\frac{u^{1/3}}{\nu^{1/3}}\right)\;\right) du
\]
Hence
\[
J_n(\theta)=\frac{6^3C(r))^{4/3}}{3\nu^{5/3}}\underbrace{\int_0^{u_\nu} \left( 1-\frac{u}{\nu} +O\left( \frac{u}{\nu} \right)^{4/3}\;\right)^\nu u^{2/3} \left( 1+ O\left(\frac{u^{1/3}}{\nu^{1/3}}\right)\;\right) du}_{=:\hat{J}_\nu},\;\; u_\nu=\nu C(r)t_0^3.
\]
Now observe that
\[
\frac{6^3C(r)^{4/3}}{3}= \underbrace{\frac{1}{3}6^3 \left(4\sqrt{2}{3}\right)^{4/3}}_{=:Z_1} r^{2/3}.
\]
and
\[
\lim_{\nu\to\infty} \hat{J}_\nu=\int_0^\infty e^{-u} u^{2/3}=\Gamma(5/3).
\]
Thus
\[
J_n(\theta) \sim Z_1\Gamma(5/3)r^{2/3}\nu^{-5/3}\sim Z_1\Gamma(5/3)r^{2/3}n^{-5/3},
\]
\[
I_n(\theta) \sim \frac{n^2}{6}J_n(\theta)\sim \frac{Z_1\Gamma(5/3)r^{2/3}}{6} n^{1/3}.
\]
Now observe that the curvature at the point $P(\theta)$ is $\kappa(\theta)=\frac{1}{r_\theta}$. hence
\[
I_n(\theta) \sim \frac{n^2}{6}J_n(\theta)\sim \frac{Z_1\Gamma(5/3)\kappa(\theta)^{-2/3}}{6} n^{1/3}
\]
If we denote by $ds$ the arclength on $\pa C$, then, by definition
\[
\frac{d\theta}{ds}=\kappa(\theta)\iff d\theta=\kappa ds.
\]
Thus
\begin{equation}
\bE(V_n)\sim \int_0^{2\pi} I_n(\theta) d\theta \sim \frac{Z_1\Gamma(5/3)}{6} n^{1/3}\int_{\pa C} \kappa^{1/3} ds.
\label{RSv}
\end{equation}
This is one of Renyi-Sulanke's result.
Remark. Before I close, let me mention that the asymptotics of $\bE(V_n)$ for $n$ large depends dramatically on the regulariti of the boundary of $C$. For example, if $C$ itself is a convex polygon with $r$-vertices, then Renyi-Sulanke show that
\[
\bE(V_n) \sim\frac{2r}{3}\log n.
\]
Compare this with the smooth case when the convex hull is expected to have many more vertices $\approx n^{1/3}$.
There are more to say about this story. As the title indicates, I plan to return to it in a later post.
Sunday, January 26, 2014
Wednesday, January 8, 2014
Wednesday, January 1, 2014
Why boycotting the assholes at Elsevier should be one of your New Year resolutions
We finally have a confirmation of the reason why Elsevier muzzles the libraries concerning the price they have to pay for an Elsevier subscription. Free markets work best when information flows freely. Apparently Elsevier believes that the more we know about their bussines, the more they would stink. Wouldn't it be awesome if some economist submitted to an Elsevier journal a research on the anti-market attitudes of Elsevier, and then have this rejected. That would be so meta. In any case, below is Elsevier in its own words (hat tip to Tim Gowers)
http://svpow.com/2013/12/20/elseviers-david-tempest-explains-subscription-contract-confidentiality-clauses/
Tuesday, September 3, 2013
Academy Fight Song |Thomas Frank | The Baffler
Academy Fight Song | Thomas Frank | The Baffler
Thursday, August 22, 2013
Friday, August 9, 2013
The Fulton-MacPherson compactification of a configuration space
Suppose that $M$ is a real analytic manifold of dimension $m$. Fix a finite set $L$ of labels. For any subset $S\subset L$ we define the following objects.
- The manifold $M^S$ consisting of maps $S\to M$. We will indicate a point in $M^S$ as a collection $x_S:=(x_s)_{s\in S}$, $x_s\in M$, $\forall s\in S$.
- The configuration space $M(S)\subset $ consisting of injective maps $S\to M$.
- The thin diagonal $\Delta_S\subset M^S$ consisting of the constant maps $S\to M$.
The space of configurations $M(L)$ is an open subset of $M^L$. We want to construct a certain completion $M[L]$ of $M(L)$ as a manifold with corners. This completion is known as the Fulton-MacPherson compactification of $M$. The completion $M[L]$ is compact when $M$ is compact. We follow closely the approach of Axelrod and Singer, Chern-Simons perturbation theory.II, J. Diff. Geom., 39(1994), 173-213.
We begin with some simple observations. Observe that if $S\subset S'$, then we have a natural projection $\pi_S: M^{S'}\to M^S$ which associates to a map $S'\to S$ its restriction to $S$
$$ M^{S'}\ni x_{S'}\mapsto x_{S}\in M^S. $$
$\newcommand{\hra}{\hookrightarrow}$ We set
$$ \Delta_S^L=\pi_S^{-1}(\Delta_S)\subset M^L.$$
More explicitly, $\Delta_S^L$ consists of the maps $L\to M$ which are constant on $S$. Observe that
$$ M^L\setminus M(L)=\bigcup_{|S|\geq 2} \Delta_S^L. $$
For $x\in M$ and $S\subset M$ we denote by $x^S$ the constant map $S\to\lbrace x\rbrace$ viewed as an element in $M^S$. We can identify $x^S$ with a point in $x\in M$ so
The thin diagonal $\Delta_S$ is a submanifold in $M^S$ of codimension $m(|S|-1)$. We denote by $\newcommand{\eN}{\mathscr{N}}$ $\eN_S$ the normal bundle of the embedding $\Delta_S\hra M^S$. The fiber $\eN_S(x)$ of the normal bundle $\eN_S=T_{x^S}M^S/T_{x^S}\Delta_S$ at a point $x^S$ is the quotient of $(T_xM)^S$ modulo the equivalence relation $\newcommand{\Llra}{\Longleftrightarrow}$
$$ (u_S)_{s\in S}\in (T_xM)^S\sim (v_S)_{s\in S}\in (T_xM)^S\;\stackrel{def}{\Llra}\; (u_{s_0}-u_{s_1})=v_{s_0}-v_{s_1},\;\;\forall s_0,s_1\in S. $$
We identify $\eN_S(x)$ with the subspace of $Z_S(x)\subset (T_xM)^L$ consisting of vectors $v_L=(v_\ell)_{\ell\in L}$, $v_\ell\in T_xM$ such that
$$v_\ell=0,\;\;\forall \ell\in L\setminus S,\;\; \sum_{s\in S} v_s=0. \tag{1}\label{1}$$
We have a natural $\newcommand{\bsP}{\boldsymbol{P}}$ projector
$$ \bsP_S: (T_x M)^L\to Z_S(x) $$
defined as follows. For a vector $\vec{v}=(v_\ell)_{\ell\in L} \in (T_xM)^L$, we denote by $\newcommand{\bb}{\boldsymbol{b}}$ $\bb_S(\vec{v})\in T_xM$ the barycenter of its $S$-component
$$\bb_S(\vec{v}):=\frac{1}{|S|}\sum_{s\in S} v_s\in T_x M, $$
and we set
$$\bsP_S(\vec{v}) =(\bar{v}_s)_{s\in S},\;\;\bar{v}_s:=v_s-\bb_S(\vec{v}),\;\;\forall s\in S,\;\;v_\ell=0. $$
Note that for $u_S\in (T_xM)^S$ we have $u_S\sim \bsP_S u_S$.
We denote by $\Bl(S,M)$ the radial blowup of $M^S$ along $\Delta_S$. This is manifold with boundary whose interior is naturally identified with $M_*^S:=M^S\setminus \Delta_S$. $\newcommand{\bsS}{\boldsymbol{S}}$ Its boundary is $\bsS(\eN)$, the "unit" sphere bundle bundle of $\eN$. Equivalently we identify the fiber of $\bsS(\eN)$ at $x^S$ with the quotient
$$ \bsS(\eN(x^S))=\bigl(\; Z_S(x)\setminus 0\; \bigr)/\propto, $$
where
$$ u_S\propto v_S \Llra \exists c>0:\;\; v_S=c u_S. $$
Following Fulton and MacPherson we will refer to the elements in $Z_S(x)$ as $S$-screens at $x$. Up to a a positive rescaling, an $S$-screen at $x^S\in \Delta_S$ is a collection of points $u_S\in (T_xM)^S\setminus 0^S$ with barycenter at the origin. If we fix a metric $g$ on $M$, then the fiber $\bsS\bigl(\;\eN(x^S)\;\bigr)$ that can be identified with the collection $v_L\in (T_xM)^L$ satisfying (\ref{1}) and
$$ \max_{s\in S}|v_s|=1. \tag{3}\label{3} $$
There is a natural smooth surjection (blow-down map)
$$\beta_S:\Bl(S,M)\to M^S$$
whose restriction to the interior of $\Bl(S,M)$ $\DeclareMathOperator{\int}{\boldsymbol{int}}$ induces a diffeomorphism to $M^S_*$ We denote by $\beta_S^{-1}$ the inverse
$$\beta_S^{-1}: M_*^S\to \int \Bl(S,M). $$
For $x_S\in M_*^S$ we set $\newcommand{\ve}{{\varepsilon}}$
$$\hat{x}_S:=\beta_S^{-1}(x_S). $$
If
$$[0,\ve)\ni t\mapsto x_S(t) \in M^S,\;\; x_S(0)=x_0^S\in\Delta_S $$
is a real analytic path such that $x_S(t)\in M_*^S$ for $t>0$, then the limit $\lim_{t\searrow 0}\hat{x}_S(t)$ can be described as follows.
- Fix local (real analytic) coordinate near $x_0$ so that the points $x_{s}(t)$ can be identified with points in a neighborhood of $0\in\bR^m$.
- For $t>0$ denote by $\bb(t)$ the barycenter of the collection $(x_s(t))_{s\in S}\subset\bR^m$, $$\bb(t)=\frac{1}{|S|}\sum_{s\in S} x_s(t). $$
- For $t>0$ and $s\in S$ define $\bar{x}_s(t) =x_{s}(t)-\bb(t)$, $m(t)=\max_s|\bar{x}_s(t)|$.
We have a natural map $\newcommand{\eX}{\mathscr{X}}$
$$\gamma: M(L)\to \eX(M,L):=M^L\times\prod_{|S|\geq 2} \Bl(S,M),\;\; M(L)\ni x_L\mapsto \gamma(x_L):=\Bigl(\; x_L;\;\;(\hat{x}_S)_{|S|\geq 2}\;\Bigr)\in \eX(M,L). $$
The Fulton-MacPherson compactification of $M(V)$ is the closure of $\gamma\bigl(\;M(L)\;\bigr)$ in $\eX(M,L)$.
We want to give a more explicit description of this closure. Observe first that $\eX(M,L)$ and thus any point in the closure of $\gamma(M[L])$ can be approached from within $\gamma(M[L])$ along a real analytic path. Suppose that $(0,\ve)\ni t \mapsto x_L(t)$ is a real analytic path such that $\gamma\bigl(\; x_L(t)\;\bigr)$ approaches a point $\gamma^0\in \eX(M,L)$. The limit point is a collection $( x^*_L, (y(S))_{|S|\geq 2})\in \eX(M,L)$.
To the point $x^*_L\in M^L$ we associate an equivalence relation on $L$
$$\ell_0\sim_0 \ell_1 \Llra x^*_{\ell_0}=x^*_{\ell_1}. $$
Denote by $\newcommand{\eC}{\mathscr{C}}$ $\eC_0\subset 2^S$ the collection of equivalence classes of $\sim_0$ of cardinality $\geq 2$.
The subsets $S$ of $L$ of cardinality $\geq 2$ are of two types.
- The set $S$ is not contained in any of the equivalence classes in $\eC_0$, i.e., $\exists s_0,s_1\in S$ such that $x^*_{s_0}\neq x^*_{s_1}$. We will refer to such subsets as separating subsets.Then $y_S=\hat{x}_S^*$.
- The subset $S$ is contained in an equivalence class $C\in \eC_0$. In other words there exists $x^*(C)\in M$ such that $x^*_{s}=x^*(C)\in M$, $\forall s \in C$. We will refer to such a subset as non-separating. Then $y(S)$ is an $S$-screen at $x^*(C)$, $y(S)=\bigl(\;y(S)_s\;\bigr)_{s\in S}$.
We can now form the family of subsets of $L$
$$\eS=\bigcup_{C\in\eC_0} \eS_C. $$
This also a nested family of subsets of cardinality $\geq 2$. A subset $S\subset L$ of cardinality $\geq 2$ is called $\eS$-separating if it is not contained in any of the sets of $\eS$. Otherwise it is called nonseparating. For any separating set $S$ we denote by $\hat{S}$ the smallest subset of $\eS$ containg $S$. The limit point
$$c:= \Bigl(\;x^*(L), \bigl(\;y(S)\;\bigr)_{S\subset L,\;|S|\geq 2}\;\Bigr)\in\eX(M,L) $$ satifies the following conditions.
$$ y(S)\in \beta^{-1}_S\bigl(\;M^S_*\;\bigr),\;\; \mbox{if $S$ is separating}. \tag{$C_1$} \label{C1} $$
$$ y(S) \;\;\mbox{is an $S$-screen if $S$ is non-separating}. \tag{$C_2$} \label{C2} $$
$$ S_0,S_1\in \eS,\;\;S_0\subset S_1\Rightarrow \bsP_{S_0}y(S_1)=0. \tag{$C_3$}\label{C3} $$
$$ S\;\;\mbox{nonseparating} \Rightarrow y(S)\propto \bsP_S y(\hat{S}). \tag{$C_4$}\label{C4} $$
Comments. (a) Let us recall that (\ref{C3}) signifies that the components $y(S_1)_s$ $s\in S_0$ are identical.
(b) Let me say a few words about the interpretation of the nested family $\eS$. A set $S$ corresponds to a collection of distinct points in $(x_s)_{s\in S}$ in $M$ that is clustering ner a point $x^*$. A subset $S'$ corresponds to a subcollection of the above collection that is clustering at a faster rate.
Running the above arguments in revers one can show that a collection
$$ \Bigl(\;x^*(L), \bigl(\;y(S)\;\bigr)_{S\subset L,\;|S|\geq 2}\;\Bigr)\in\eX(M,L) $$
belongs to the closure of $\gamma\bigl(\;M(L)\;\bigr)$ in $\eX(M, L)$ if and only if there exists a nested collection $\eS$ of subsets of $L$ of cardinality $\geq 2$ such that satisfying the compatibility conditions (\ref{C1}-\ref{C4}) are satisfied. The set $\eS$ is called the type of the limit point. For a nested family $\eS$ of subsets of $L$ of cardinality $\geq 2$ we denote Define $M^(\eS)$ the collection of points of type $\eS$.
The stratum $M(\eS)$ has codimension $|\eS|$. This can be seen after a tedious computation that takes into account a (\ref{C1}-\ref{C4}) . To explain introduce a notation. Given $S, S'\in \eS$ we say that $S$ precedes $S'$ and we write this $S\lessdot S'$, if $S$ is maximal amomgst the subsets of $\eS$ contained but not equal to $S'$. Denote by $\eS_{\max}$ the collection of maximal sets in $\eS$. (The collection $\eS_{\max}$ coincides with the collection $\eC_0$ in the above discussion.) The, if we recall that $\dim M=m$ and $|L|=n$ we deduce
$$\dim M(\eS)^* =m\left(\; n-\sum_{S\in\eS_{\max}}(|S|-1)\;\right) +\sum_{S\in \eS}\left[\;\;m\left(\;(|S|-1)-\sum_{S'\lessdot S}\bigl(\;|S'|-1\;\bigr)\right)-1\;\right]$$
To understand this formula let us consider a point
$$ c =\Bigl(\;x^*(L), \bigl(\;y(S)\;\bigr)_{S\subset L,\;|S|\geq 2}\;\Bigr)\in M(\eS)^*. $$
The coordinates of $x^*(L)$ are described by $nm$ parameters Each $S\in \eS_{\max}$ introduces the constraints
$$x^*(L)_{s_1}=x^*(L)_{s_2},\forall s_1,s_2\in S. $$
If $S=\lbrace s_1,\dotsc,s_N\rbrace$ we see that the above constraints are consequences of the linearly independent ones
$$ x^*(L)_{s_1}-x^*(L)_{s_2}= \cdots =x^*(L)_{s_{N-1}}-x^*(L)_{s_N}=0. $$
These cut down the number of parameters required to describe $x^*(L)$ by $m(N-1)=m(|S|-1)$.
Thus the number of parameters need to describe $x^*(L)$ is
$m\left(\; n-\sum_{S\in\eS_{\max}}(|S|-1)\;\right)$
From (\ref{C3}) and (\ref{C4}) we deduce that the collection
$$ \bigl(\;y(S)\;\bigr)_{S\subset L,\;|S|\geq 2}$$
is uniquely determined by the subcollection
$$ \bigl(\;y(S)\;\bigr)_{S\in\eS} . $$
The screen $y(S)$ belongs to the unit sphere $\bsS(\eN(x_S))$ which has dimension
$$\dim M^S-\dim\delta_S-1= m(|S|-1)-1. $$
Thus we need $m(|S|-1)$ parameters to describe the screen $y(S)$. However, the condition (\ref{C3}) shows that any $S'\lessdot S$ induces $m(|S'|-1)$ linearly independent constraints on these parameters so that $y(S)$ has a total of
$$m\left(\;(|S|-1)-\sum_{S'\lessdot S}\bigl(\;|S'|-1\;\bigr)\right)-1 $$
degrees of freedom.
We want to describe a neighborhood of $M(\eS)$ in $M[L]$. We will achieve this via an explicit map
$$\Psi : M(\eS)\times \bR_{\geq 0}^{\eS} \to M[L] $$
defined as follows. Denote by $\vec{t}=(t_S)_{s\in\eS}$ the coordinates on $\bR^{\eS}_{\geq 0}$. For $S\in \eS$ we set
$$T_S=\prod_{\eS\ni S'\supseteq S} t_{S'}. $$
If
$$c = (x(c), (y(S,c))_{S\in\eS})\in M(\eS),$$ then
$$\Psi(c, \vec{t})= \bigl( x_\ell (c,\vec{t})\;\bigr)_{\ell \in L}, $$
where
$$ x_\ell(c,\vec{t})= x(c)_\ell +\sum_{\ell\in S\in \eS} T_S y(S,c)_\ell. $$
In the above formula $y(S)$ is assumed to be a vector of norm $1$ in $Z_S(x_\ell)$.
Let us convince ourselves that for fixed $c_0\in M(\eS)$ there exists a small neighborhood $U$ of $c_0$ in $M(\eS)$ and a neighborhood $V$ of $0\in\bR^{\eS}_{\geq 0}$ such that $\Psi$ maps $U\times V_{>0}$ into $M(L)$. Here $V_{>0}-V\cap \bR^{\eS}_{>0}$.
Thus we have to show that if $i,j\in L$, $i\neq j$, then for $c$ close to $c_0$ and $\vec{t}$ close to $0$.
$$ x_i(c,\vec{t})\neq x_j(c,\vec{t}) $$
Note that a set $S\in\eS$ that contains $i$ is either contained in $S_0$ or contains $S_0$. A similar fact is true for $j$. Observe that if $S\supset\neq S_0$ then $y(S,c)_i=y(S,c)j$. Thus
$$ x(c,\vec{t})_i-x(c,\vec{t})_j =\sum_{S\subsetneq S_0} T_S\bigl(\; y(S)_i-y(S)_j\;\bigr)+ T_{S_0}(y(S_0)_i-y(S_0)_j $$
$$ =T_{S_0}\left(\sum_{S\subsetneq S_0} \tau _S\bigl(\; y(S)_i-y(S)_j\;\bigr)+ (y(S_0)_i-y(S_0)_j\;\right), $$
where
$$\tau_S=\prod_{S\subset S'\subset\neq S_0} t_{S'}. $$
The conclusion follows by observing that $y(S)_i\neq y(S)_j$.
We denote by $M[\eS]$ the closure of $M(\eS)$ in $M[L]$. Observe that
$$ M(\eS')\subsetneq M[\eS] \Llra \eS'\supsetneq \eS. $$
Monday, June 17, 2013
Wednesday, May 22, 2013
Timeless advise from Gian-Carlo Rota
alumni.media.mit.edu/~cahn/life/gian-carlo-rota-10-lessons.html#toc
Monday, May 20, 2013
Remarkable and unexpected progress in prime gap theory
This is a fascinating story about a mathematician "past his prime" taking the math world by surprise.
Yitang Zhang Proves 'Landmark' Theorem in Distribution of Prime Numbers | Simons Foundation
Thursday, May 16, 2013
Plagiarism in Romanian academia
EpsilonBee: Plagiarism in Romanian academia
Tuesday, May 14, 2013
The weak Goldbach conjecture is settled.
Thursday, May 9, 2013
On the pitfalls of "Open Access" publishing
"Dear Liviu Nicolaescu,
A request you have placed:
Journal of advanced research in statistics and probability
3 3 2011
Title: On the central limit theorem for $m$-dependent random variables with unbounded $m$
Author: Shang, Yilun
TN: 685774
has been cancelled by the interlibrary loan staff for the following reason:
We have exhausted all possible sources.
This is so frustraing! [sic] We haven't been able to find any library that has this journal, Per the journal's website it is supposed to be Open Access meaning we should be able to get any of the articles online at no charge but their "archive" returns an empty screen with no way ot getting to the older journal issues. We tried this on different days just to make sure it wasn't a one-day system problem. We have not been able to find an email address for the author so that we could ask him directly. We've found a number of other articles by this author on this subject but not this one. We're just out of options on this one."
Wednesday, May 8, 2013
A cute application of Burnside's lemma
First let me present Burnside's lemma.
Burnside's lemma Let $X$ be a finite set and $G$ a finite group acting on $X$,
$$ G\times X\to X,\;\; (g,x)\mapsto g\cdot x. $$
Denote by $G\backslash X$ be the space of orbits of this action. For each $g\in G$ we denote by $X^g$ the set of points in $X$ fixed by $g$
$$X^g:=\lbrace x\in X;\;\;g\cdot x=x\rbrace. $$
Then
$$ |G\backslash X|=\frac{1}{|G|} \sum_{g\in G} |X^g|, $$
where $|A|$ denotes the cardinality of a set $A$.
Proof. Look at the set $\newcommand{\bZ}{\mathbb{Z}}$ $\newcommand{\eF}{\mathscr{F}}$
$$ \eF = \bigl\lbrace (g,x)\in G\times X;\;\;g\cdot x= x\bigr\rbrace. $$
It defines a tautological double "fibration"
$$ G\stackrel{\ell}{\longleftarrow} \eF \stackrel{r}{\longrightarrow} X, $$
where the maps $\ell$ and $r$ are induced by the canonical projections $G\leftarrow G\times X$ and $G\times X\to X$. We deduce
$$ \sum_{g\in G}|\ell^{-1}(g)|=|\eF|=\sum_{x\in X} |r^{-1}(x)|. $$
Observe that the fiber $\ell^{-1}(g)$ can be identified with the set $X^g$ so that
\begin{equation}
\sum_{g\in G}|X^g|=\sum_{x\in X} |r^{-1}(x)|. \tag{1} \label{1}
\end{equation}
For any $x\in X$ the fiber $r^{-1}(x)$ can be identified with the stabilizer $G_x$ of $x$,
$$ G_x=\bigl\lbrace g\in G;\;\; g\cdot x =x\bigr\rbrace. $$
If $x, y$ are in the same orbit of $G$ then $|G_x|=|G_y|$. Indeed, if $y=g\cdot x$ then $G_y=gG_xG^{-1}$.
The function $x\mapsto |r^{-1}(x)|$ is thus constant along the orbits of $G$ on $X$. Thus the contribution of a single orbit $G\cdot x_0$ to the sum $\sum_x|r^{-1}(x)|$ is $|G_{x_0}|\cdot |G\cdot x_0|=|G|$. This shows that
$$ \sum_{x\in X} |r^{-1}(x)|= |G|\times \mbox{the number of orbits} =|G|\times |G\backslash X|. $$
The desired conclusion now follows from (\ref{1}). $\Box$
I can now discuss the problem that prompted this post. It is about certain planar lattice walks. The allowable steps of this walk belong to the collection $\newcommand{\eS}{\mathscr{S}}$ $\newcommand{\be}{\boldsymbol{e}}$ $\newcommand{\bR}{\mathbb{R}}$ $\newcommand{\bs}{\boldsymbol{s}}$
$$\eS=\lbrace \pm\be_1,\pm\be_2\rbrace\subset \bR^2,\;\;\be_1=(1,0),\;\;\be_2=(0,1). $$
A walk of length $n$ is then an ordered collection of steps
$$\vec{\bs}= (\bs_1,\dotsc, \bs_n)\in\eS^n. $$
The above walk is called admissible if
$$ \bs_j+\bs_{j-1}\neq 0,\;\;\forall j=2,\dotsc, n. \tag{2}\label{2} $$
We denote by $\newcommand{\eA}{\mathscr{A}}$ $\eA_n$ the set of admissible walks of length $n$. Since $\bs_1$ can be chosen in four different ways, while each of the following steps can be chosen in three different ways so as to preserve (\ref{2}) we deduce
$$ |\eA_n|= 4\cdot 3^{n-1}. \tag{3}\label{3} $$
There is however a symmetry in the story, i.e., a group acting on $\eA_n$. $\newcommand{\eO}{\mathscr{\eO}}$ Denote by $G_0$ the subgroup of $O(2)$ generated by the reflections $R_0, R_1, R_2$ where
$$R_0\be_1=\be_2,\;\;R_0\be_2=\be_1, $$
$$R_1\be_1=\be_1,\;\;R_1\be_2=-\be_2, $$
$$R_2\be_1=-\be_1,\;\;R_2\be_2=-\be_2. $$
This group has order $8$ and can be identified with the Weyl group of $O(4)$.
The group $G_0$ acts on $\bR^2$ and $\eS\subset \bR^2$ is a $G_0$-invariant subset. In particular, $G_0$ acts on the set $\eS^n$ of walks of length $n$, and $\eA_n\subset \eS^n$ is $G_0$-invariant. Observe that if $g\in G_0$ then
$$\eS^g= \begin{cases} \eS, & g=1\\
\{\pm \be_1\} & g=R_1,\\
\{\pm \be_2\}, & g=R_2\\
\emptyset, & g\neq 1,R_1,R_2.
\end{cases} \tag{4} \label{4} $$
There exists another involution $R_3$ that acts on $\eS^n$. More precisely
$$R_3(\bs_1,\dotsc,\bs_n)=(\bs_n,\dotsc,\bs_1). $$
Clearly $R_3\eA_n\subset\eA_n$. We denote by $G$ the subgroup of the group of permutations of $\eA_n$ generated by $G_0$ and $R_3$. Since obviously $R_3$ commutes with all of the reflections $R_0,R_1, R_2$ we deduce that $G\cong G_0\times (\bZ/2). $
We would like to compute the number of orbits of the action of $G$ on $\eA_n$. We denote by $p_n$ this number. The final answer is contained in the equalities (\ref{odd}) and (\ref{even}) below which show different behaviors depending on whether $n$ is odd or even. Here are the details.
For any $\gamma\in G$ we denote by $\eA_n(\gamma)$ the set of admissible paths of length $n$ fixed by $\gamma$ and we set $p_n(\gamma):=|\eA_n(\gamma)|$. From Burnside's lemma we deduce
$$ p_n=\frac{1}{16} \sum_{\gamma\in G} p_n(\gamma).\tag{5}\label{5} $$
We need to compute the numbers $p_n(g)$. We distinguish two cases.
A. $\gamma\in G_0$. If $\gamma=1$, then
$$p_n(1)= |\eA_n|. $$
Suppose that $\gamma\neq 1$. Then $\vec{\bs}\in\eA_n(\gamma)\subset \eS^n$ iff
$$ \gamma\bs_j=\bs_j,\;\;\forall j=1,\dotsc, n. $$
According to (\ref{4}) the only nontrivial elements of $G_0$ that have fixed points when acting on $\eS$ are $R_1$, $R_2$. The only admissible paths of length $1$ that are $R_j$-invariant, $j=1,2$ are
$$(\be_j,\dotsc,\be_j),\;\;(-\be_j,\dotsc,-\be_j). $$ Hence, if $\gamma\in G_0$, then
$$ p_n(\gamma)=\begin{cases}
|\eA_n|, & \gamma=1\\
2, & \gamma=R_1,R_2,\\
0, & \mbox{otherwise}.
\end{cases} \tag{6}\label{6} $$
B. $\gamma=(g,R_3)$, $g\in G_0$.
Hence $\newcommand{\Llra}{\Longleftrightarrow}$
$$ \vec{\bs}\in \eA_n(g, R_3)\Llra R_3\vec{\bs}=g\vec{\bs}. $$
If $h\in G_0$, $\vec{\bs}\in\eA_n(g,R_3)$ and $\newcommand{\si}{\boldsymbol{\sigma}}$ we set $\vec{\si} = h\vec{\bs}$, then
$$ R_3\vec{\si}= R_3 h \vec{\bs}= h R_3 \vec{\bs}= hg \vec{\bs}= hgh^{-1} \vec{\si}. $$
This shows that
$$|\eA_n(g,R_3)|=|\eA_n(hgh^{-1}, R_3)|,\;\;\forall g,h\in G_0.\tag{7}\label{7} $$
This shows that the map $G_0\ni g\mapsto |\eA_n(g, R_3)|$ is constant on the conjugacy classes of $G_0$. Let us describe these conjugacy classes. It helps to observe that the morphism $\det :O(2)\to\{\pm 1\}$ induces a morphism
$$ \det :G_0\to\{\pm 1\} $$
and this morphism is constant on the conjugacy classes. There exist two conjugacy classes of determinant $-1$
$$ C(R_1)=\{ R_1, R_2=-R_1\},\;\; C(R_0)=\{R_0, -R_0\}.$$
The other conjugacy classes are
$$ C_1=\{1\},\;\; C_{-1}= \{-1\}, \;\; C=\{ J, -J\}, $$
where $J= RR_1$ is the counterclockwise rotation by $\pi/2$. Thus we need to compute the five numbers
$$p_n(\pm 1,R_3), \; p_n(R_1,R_3), \; p_n(R_0,\; R_3), \; p_n(J, R_3). $$
We discuss them separately. Set $m:=\lfloor (n+1)/2\rfloor$
$\eA_n(1,R_3).$ A walk $\vec{\bs}\in \eA_n(1,R_3)$ is determined by the initial segment of length $m$ which could be an arbitrary walk in $\eA_m$.
For $n$ even, $n=2m$, a walk $\vec{\bs}\in \eA_n(1,R_3)$ if and only if it has the form
$$\vec{\bs}=(\bs_1,\dotsc, \bs_{m-1},\bs_m,\bs_{m},\bs_{m-1},\dotsc, \bs_1),\;\;(\bs_1,\dotsc,\bs_m)\in\eA_m. $$
For $n$ odd, $n=2m-1$, a walk $\vec{\bs}\in \eA_n(1,R_3)$ if and only if it has the form
$$ \vec{\bs}=(\bs_1,\dotsc, \bs_{m-1},\bs_m,\bs_{m-1},\dotsc, \bs_1),\;\;(\bs_1,\dotsc,\bs_m)\in\eA_m. $$.
Hence
$$ p_n(1, R_3)= |\eA_m|= 4\cdot 3^{\lfloor(n+1)/2\rfloor -1}. \tag{8}\label{8} $$
$\eA_n(-1,R_3).$ Such a path is again determined by the initial segment of length $m$.
For $n$ even, $n=2m$, if $\vec{\bs}\in \eA_n(-1,R_3)$, then
$$\vec{\bs}=(\bs_1,\dotsc, \bs_{m-1},\bs_m,-\bs_{m},-\bs_{m-1},\dotsc, -\bs_1),\;\;(\bs_1,\dotsc,\bs_m)\in\eA_m. $$
Clearly such a path is not admissible. Hence $\eA_m(-1, R_3)=\emptyset$ if $n$ is even.
If $n$ is odd, $n=2m-1$, and $\vec{\bs}\in\eA_n(-1,R_3)$, then $\bs_m=-\bs_m$. Not possible!.
Hence
$$ p_n(-1,R_3)=0,\;\;\forall n. \tag{9}\label{9} $$
$\eA_n(R_1,R_3). $ A path $\vec{\bs}=(\bs_1,\dotsc,\bs_n)\in\eA_n(R_1, R_3)$ is determined by initial segment of length $m$.
For $n$ even, $n=2m$, if $\vec{\bs}\in \eA_n(-1,R_3)$, then
$$ \vec{\bs}=(\bs_1,\dotsc, \bs_{m-1},\bs_m,R_1\bs_{m},R_1\bs_{m-1},\dotsc, R_1\bs_1),\;\;(\bs_1,\dotsc,\bs_m)\in\eA_m. $$
Such a path is admissible if and only if $\bs_m+R_1\bs_m\neq 0$, i.e., $\bs_m=\pm\be_1$. The number of admissible paths $(\bs_1,\dotsc,\bs_m)$ which end with $\bs_m=\pm\be_1$ is $2\cdot 3^{m-1}$.
For $n$ odd, $n=2m-1$, if $\vec{\bs}\in \eA_n(-1,R_3)$, then
$$\vec{\bs}=(\bs_1,\dotsc,\bs_{m-1}\,\bs_m, R_1\bs_{m-1},\dotsc, R_1\bs_1),\;\;\bs_m=R_1\bs_m.$$
We deduce
$$ p_n(R_1,R_3) =2\cdot 3^{m-1},\;\;m=\lfloor(n+1)/2\rfloor. \tag{10}\label{10} $$
$\eA_n(R_0,R_3). $ Arguing as above we deduce that if $(\bs_1,\dotsc,\bs_n)\in\eA(R_0,R_3)$ and $n$ is odd, then $R_0\bs_m=\bs_m$ which is impossible because $R_0$ does not have fixed points on $\eS$.
For $n$ even, $n=2m$, $\vec{\bs}=(\bs_1,\dotsc,\bs_n)\in \eA_n(R_0,R_3)$ if and only if
$$\vec{\bs}=(\bs_1,\dotsc,\bs_{m-1}\bs_m,R_0\bs_m, R_0\bs_{m-1},\dotsc, R_0\bs_1),\;\; (\bs_1,\dotsc,\bs_m,R_0\bs_m)\in \eA_m. $$
Whatever $\bs_m\in\eS$, we have $\bs_m+R_0\bs_m\neq 0$. We deduce
$$ p_n(R_0, R_3)=\begin{cases}
0, & n=2m-1\\
4\cdot 3^{m-1}, & n=2m.
\end{cases} \tag{11}\label{11} $$
$\eA_n(J,R_3). $ We observe that
$$(\bs_1,\dotsc,\bs_n)\in\eA_n(J, R_3)\Llra (J\bs_n,\dotsc, J\bs_1)=(\bs_1,\dotsc,\bs_n). $$
This implies $J^2\bs_n=\bs_n$ which is obviously impossible. Hence
$$ p_n(J, R_3) =0,\;\;\forall n. \tag{12}\label{12} $$
Using (\ref{5}) and (\ref{6}) we deduce
$$ p_n=\frac{1}{16}\Bigl( 4\cdot 3^{n-1}+4 +p_n(1,R_3)+ p_n(-1,R_3)+ 2p_n(R_1,R_3) +2p_n(R_0,R_3) +2p_n(J)\Bigr) $$
$$= \frac{1}{16}\Bigl( 4\cdot 3^{n-1}+4 +p_n(1,R_3)+ 2p_n(R_1,R_3) +2p_n(R_0,R_3) \Bigr). $$
Using (\ref{8}), (\ref{9}), (\ref{10}), (\ref{11}), (\ref{12}) in the above equality we deduce the following.
If $n=2m-1$, then
If $n=2m$, then
$$ p_n= \frac{1}{16}\Bigl( 4\cdot 3^{n-1} + 4 + 16\cdot 3^{m-1}\Bigr) = \frac{1}{4}\bigl(\,3^{n-1}+4\cdot 3^{m-1}+1\bigr). \tag{$\ast\ast$}\label{even}$$
Thursday, May 2, 2013
Divided differences
To start, suppose $\newcommand{\bR}{\mathbb{R}}$ $\newcommand{\bZ}{\mathbb{Z}}$ that $f:\bR\to \bR$ is a smooth function. For any pairwise distinct points $x_0, x_1,\dotsc,x_n$ we define recursively
$$ f[x_0] :=f(x_0),\;\; f[x_0,x_1]:=\frac{f(x_1)-f(x_0)}{x_1-x_0}, $$
$$ f[x_0,x_1,\dotsc, x_n] :=\frac{f[x_1,\dotsc,x_n]-f[x_0,\dotsc, x_{n-1}]}{x_n-x_0}=\frac{f[x_0,\dotsc,x_{n-1}]-f[x_1,\dotsc, x_n]}{x_0-x_n}.\tag{R}\label{R} $$
The quantity $f[x_0,\dotsc, x_n]$ is called the $n$-th divided difference of $f$ at the nodes $x_0,\dotsc, x_n$. Note that we have
$$ f[x_0,x_1]= \frac{f(x_0)}{x_0-x_1}+\frac{f(x_1)}{x_1-x_0}.$$
Observe that
$$ f[x_1,x_2]- f[x_0,x_1]= \frac{f(x_1)}{x_1-x_2}+\frac{f(x_2)}{x_2-x_1}- \frac{f(x_0)}{x_0-x_1}-\frac{f(x_1)}{x_1-x_0} $$
$$ =\frac{f(x_2)}{x_2-x_1}+\frac{f(x_1)(x_2-x_0)}{(x_1-x_2)(x_1-x_0)} - \frac{f(x_0)}{x_0-x_1}.$$
We deduce
\begin{equation}
f[x_0,x_1,x_2]=\frac{ f[x_1,x_2]- f[x_0,x_1]}{x_2-x_0}=\frac{f(x_0)}{(x_0-x_1)(x_0-x_2)}+\frac{f(x_1)}{(x_1-x_2)(x_1-x_0)}+ \frac{f(x_2)}{(x_2-x_0)(x_2-x_1)}\tag{I}\label{I}.
\end{equation}
Arguing inductively we obtain the following description
$$ f[x_0, x_1,\dotsc, x_n]=\frac{f(x_0)}{(x_0-x_1)(x_0-x_2)\cdots (x_0-x_n)}+\frac{f(x_1)}{(x_1-x_0)(x_1-x_2)\cdots(x_1-x_n)}+\cdots + \frac{f(x_n)}{(x_n-x_0)\cdots (x_n-x_{n-1})}. $$
This last expression can be given a more symmetric expression by introducing the polynomial
$$ \Phi_{x_0,\dotsc,x_n}:=\prod_{k=0}^n (x-x_k).$$
We then have
$$\Phi'_{x_0,\dotsc, x_n}(x)=(x-x_1)\cdots (x-x_n)+(x-x_0)(x-x_2)\cdots (x-x_n)+\cdots +(x-x_0)\cdots (x-x_{n-1}), $$
$$ f[x_0, x_1,\dotsc, x_n]=\sum_{k=0}^n\frac{f(x_k)}{\Phi'_{x_0,\dotsc,x_n}(x_k)}.\tag{1}\label{1} $$
The last equality shows has the following useful consequence.
Proposition 1. The $n$-th divided difference $f[x_0,\dotsc, x_n]$ does not change if we permute the nodes $x_0, x_1,\dotsc, x_n$. $\Box$
The equality (\ref{1}) can be conveniently rephrased in terms of Vandermonde-like determinants. Denote by $V(x_0,\dotsc, x_n)$ the $(n+1)\times (n+1)$ matrix
$$ V(x_0, \dotsc, x_n)=\left[
\begin{array}{ccccc}
1 & 1 & 1 &\cdots & 1\\
x_0 & x_1 & x_2 &\cdots & x_n\\
x_0^2 & x_1^2 & x_2^2 & \cdots & x_n^2\\
\vdots & \vdots & \vdots & \vdots & \vdots\\
x_0^n & x_1^n & x_2^n & \cdots & x_n^n
\end{array}
\right],
$$
and by $V_f(x_0,\dotsc, x_n)$ the $(n+1)\times (n+1)$ matrix
$$ V_f(x_0, \dotsc, x_n)=\left[
\begin{array}{ccccc}
1 & 1 & 1 &\cdots & 1\\
x_0 & x_1 & x_2 &\cdots & x_n\\
x_0^2 & x_1^2 & x_2^2 & \cdots & x_n^2\\
\vdots & \vdots & \vdots & \vdots & \vdots\\
x_0^{n-1} & x_1^{n-1} & x_2^{n-1} & \cdots & x_n^{n-1}\\
f(x_0) & f(x_1) & f(x_2) & \cdots & f(x_n)
\end{array}
\right].
$$
Expanding along the last row of $V_f(x_0,\dotsc, x_n)$ we obtain the following alternate description of the $n$-th divided difference
$$ f[x_0,x_1,\dotsc, x_n]= \frac{\det V_f(x_0,\dotsc, x_n)}{V(x_0,\dotsc, x_n)}. \tag{V} $$
Next, we want to prove that $f[x_0,\dotsc, x_n]$ makes sense even if the nodes are not pairwise disjoint. We need to make small technical digression.
Consider the $n$-simplex
$$ \Delta_n :=\Bigl\{ (t_0,\dotsc, t_n)\in\bR^{n+1}_{\geq 0};\;\;\sum_{k=0}^n t_k=1\Bigr\}. $$
We can view $\Delta_n$ as the graph of the function
$$ T_n\ni (t_1,\dotsc, t_n)\mapsto t_0=1-(t_1+\cdots +t_n)\in\bR, $$
where
$$ T_n:=\bigr\{ (t_1,\dotsc, t_n)\in\bR^n_{\geq 0};\;\; t_1+t_2+\cdots +t_n\leq 1\bigr\}. $$
If we use $(t_1,\dotsc, t_n)$ as coordinates on $\Delta_n$, then we deduce that $dA_{\Delta_n}$, the area density on $\Delta_n$ is given by
$$ |dA_{\Delta_n}(t_1,\dotsc, t_n)|={\sqrt{n+1}} |dt_1\cdots d t_n|. $$
On $T_n$ we can introduce new coordinates
$$ s_1=t_1+\cdots +t_n, \;\; s_2= t_2+\cdots +t_n,\dotsc, s_n=t_n. $$
We observe that
$$ 0\leq s_n\leq \cdots \leq s_1\leq 1,\;\; dt_1\cdots dt_n=ds_1\cdots ds_n, $$
$$ t_1=s_1-s_2,\;\;t_2=s_2-s_3,\dotsc. $$
If $u: \Delta_n\to \bR$ is a continuous function, then we can regard it as a function of the variables $s_1, \dotsc, s_n$ and we have
$$ \int_{\Delta_n} u(t_0,\dotsc, t_n) |dA_{\Delta_n}| = \sqrt{n+1}\int_{0\leq s_n\leq \cdots \leq s_1\leq 1} u(s_1, \dotsc, s_n) ds_1\cdots ds_n $$
$$ ={\sqrt{n+1}}\int_0^1d s_1 \int_0^{s_1} ds_2 \cdots \int_0^{s_{n-1}} u(s_1,\dotsc, s_n) ds_n.$$
Hence
$$ \int_0^1d s_1 \int_0^{s_1} ds_2 \cdots \int_0^{s_{n-1}} u(s_1,\dotsc, s_n)=\frac{1}{\sqrt{n+1}}\int_{\Delta_n} u(t_0,\dotsc, t_n) |dA|. \tag{2} \label{2}$$
Proposition 2. (Hermite) For any $n>0$ and pairwise distinct points $x_0,\dotsc, x_n\in\bR$ we have
$$ f[x_0,\dotsc, x_n]=\frac{1}{\sqrt{n+1}}\int_{\Delta_n} f^{(n)} (t_0x_0+\cdots +t_n x_n) dA(t_0,\dotsc, t_n). \tag{3} \label{3} $$
Proof. In view of (\ref{2}) we see that (\ref{3}) is equivalent to
$$ f[x_0,\dotsc, x_n]= \int_0^1d s_1 \int_0^{s_1} ds_2 \cdots \int_0^{s_{n-1}} f^{(n)} (y_n) ds_n, \tag{4}\label{4}$$
where
$$ y_n=(1-s_1) x_0 +(s_1-s_2) x_1+\cdots +(s_{n-1}-s_n)x_{n-1}+ s_n x_n.\tag{5} \label{5} $$
For $n=1$ the right-hand-side of (\ref{4}) becomes
$$ \int_0^1 f'(x_0+t(x_1-x_0)) dt = \frac{1}{x_1-x_0} (f(x_1)-f(x_0))=f[x_0,x_1]. $$
We now proceed inductively and we observe that
$$\int_0^{s_{n-1}} f^{(n)} (y_n) ds_n = \frac{1}{x_n-x_{n-1}} f^{(n-1)}\bigl(\; (1-s_1) x_0 +(s_1-s_2) x_1+\cdots +(s_{n-2}-s_{n-1})x_{n-2} +s_{n-1} x_n\;\bigr) $$
$$ - \frac{1}{x_n-x_{n-1}} f^{(n-1)}\bigl(\; (1-s_1) x_0 +(s_1-s_2) x_1+\cdots +(s_{n-2}-s_{n-1})x_{n-2}+s_{n-1} x_{n-1}\;\bigr). $$
Hence
$$ \int_0^1d s_1 \int_0^{s_1} ds_2 \cdots \int_0^{s_{n-1}} f^{(n)} (y_n) ds_n $$
$$= \frac{1}{x_n-x_{n-1}} \int_0^1d s_1 \int_0^{s_1} ds_2 \cdots \int_0^{s_{n-2}}f^{(n-1)}\bigl(\; (1-s_1) x_0 +(s_1-s_2) x_1+\cdots +(s_{n-2}-s_{n-1})x_{n-2} +s_{n-1} x_n\;\bigr) ds_{n-1} $$
$$ - \frac{1}{x_n-x_{n-1}} \int_0^1d s_1 \int_0^{s_1} ds_2 \cdots \int_0^{s_{n-2}} f^{(n-1)}\bigl(\; (1-s_1) x_0 +(s_1-s_2) x_1+\cdots +(s_{n-2}-s_{n-1})x_{n-2}+s_{n-1} x_{n-1}\;\bigr) ds_{n-1} $$
$$ \frac{1}{x_n-x_{n-1}}f[x_0,\dotsc,x_{n-2},x_{n}]- \frac{1}{x_n-x_{n-1}}f[x_0,\dotsc, x_{n-2}, x_{n-1}] $$
$$ = \frac{1}{x_n-x_{n-1}}f[x_0,\dotsc,x_{n-2},x_{n}]- \frac{1}{x_n-x_{n-1}}f[x_{n-1}, x_0,\dotsc, x_{n-2}] $$
$$= f[x_{n-1}, x_0,\dotsc, x_{n-2}, x_{n}]= f[x_0,x_1,\dotsc, x_{n-1}, x_n].\;\;\Box $$
For fixed $f$, the $n$-th divided difference $f[x_0,\dotsc,x_n]$ defines a smooth real valued function on the confinguration space $\newcommand{\eC}{\mathscr{C}}$
$$ \eC_{n+1}=\bigl\lbrace\; (x_0,\dotsc, x_n)\in\bR^{n+1};\;\;x_i\neq x_j,\;\;\forall i\neq j\;\bigr\rbrace. $$
The above result shows that this function admits a smooth extension to $\bR^{n+1}$. This extension is unique since $\eC_{n+1}$ is dense in $\bR^{n+1}$.
The volume of the connected region
$$ S_n=\bigl\lbrace (s_1,\dotsc, s_n)\in\bR^n;\;\;0\leq s_n\leq \cdot \leq s_1\leq 1\;\bigr\rbrace $$
is $\frac{1}{n!}$. Invoking Proposition 2 we deduce that for any $x_0,\dotsc, x_n\in \bR$ there exists $\xi\in [\min x_j,\max x_k]$ such that
$$ f[x_0,\dotsc, x_n]=\frac{1}{n!} f^{(n)}(\xi). $$
In particular, this implies that
$$ f[\,\underbrace{x,\dotsc,x}_{n+1}\,]=\frac{1}{n!} f^{(n)}(x).\tag{6} \label{6} $$
The recurrence relation (\ref{R}) extends by continuity to any nodes $x_0,\dotsc, x_n$ not necessarily distinct. Given the sequence of nodes $x_0,\dotsc, x_n,\dotsc $ we defined following Feller the sequence of polynomials $F_n(x)$
$$ F_n(x):=\sum_{k=0}^n f[x_0,\dotsc, x_k] (x-x_0)\cdots (x-x_{k-1}). $$
Observe that
$$ F_0(x)= f(x_0),\;\; F_1(x)= F_0(x)+f[x_0,x_1)(x-x_0), ...$$
Define
$$ R_n(x)= f[x,x_0,\dotsc, x_n](x-x_0)\cdots (x-x_n). $$
Observe that
$$ R_0(x)=f(x)-f(x_0), $$
$$ R_{n}(x) =\bigl(f[x,x_0,\dotsc, x_{n-1}]- f[x_0,\dotsc, x_n]\bigr)(x-x_0)\dotsc (x-x_{n-1})= R_{n-1}(x) +\bigl(\, F_{n-1}(x)-F_n(x)\,\bigr)$$
We deduce that
$$ R_n(x) = R_0(x) + F_0(x)-F_n(x) $$
which translates into Newton's interpolation formula
$$ f(x) = F_n(x) + R_n(x)$$
$$ = f(x_0)+f[x_0,x_1](x-x_0)+\cdots +f[x_0,x_1,\dotsc,x_n](x-x_0)\cdots (x-x_{n-1})+ f[x,x_0,\dotsc, x_n](x-x_0)\cdots (x-x_n). \tag{N} $$
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Tuesday, March 12, 2013
Manolescu's new result on the triangulation conjecture
Ciprian Manolescu has a new paper on the archive http://arxiv.org/abs/1303.2354
There he settles the longstanding triangulation conjecture: in any dimension $n>3$ there exist nontriangulable compact topological manifolds. The approach is the one opened in the 1980 by the Gaweski-Stern Annals paper where they pointed out the relationship between this conjecture and the existence of homology 3-spheres with Rochlin invariant 1 and having order two in the homology cobordism group.
This new result of Manolescu is big news indeed, provided that the details of the proof turn out OK. As for the method, he goes back to his, not so distant, youth.



