"Talk on Gross-Keating invariants"의 두 판 사이의 차이

수학노트
둘러보기로 가기 검색하러 가기
imported>Pythagoras0
imported>Pythagoras0
1번째 줄: 1번째 줄:
 +
==a classical introduction to Gross-Keating invaraiant==
 +
$
 +
\newcommand{\Z}{\mathbb Z}
 +
\newcommand{\Zn}{\Z_{\geq 0}^n}
 +
\newcommand{\ord}{\mathrm{ord}}
 +
\newcommand{\calh}{\mathcal H}
 +
\newcommand{\frko}{\mathfrak o}
 +
\newcommand{\GL}{{\mathrm{GL}}}
 +
\newcommand{\GK}{\mathrm{GK}}
 +
$
 +
 +
 +
==Gross-Keating invariant==
 +
Let $B=(b_{ij})\in\calh_n(\frko)^{\rm nd}$.
 +
Let $S(B)$ be the set of all non-decreasing sequences $(a_1, \dots, a_n)\in\Zn$ such that
 +
\begin{align*}
 +
&\ord(b_{ii})\geq a_i \qquad\qquad\qquad\quad (1\leq i\leq n), \\
 +
&\ord(2 b_{ij})\geq (a_i+a_j)/2  \qquad\; (1\leq i\leq j\leq n),
 +
\end{align*}
 +
and $\S(\{B\}):=\bigcup_{U\in\GL_n(\frko)} S(U^{t}BU)$.
 +
The Gross-Keating invariant $\GK(B)=(a_1, \dots, a_n)$ of $B$ is defined by
 +
\begin{align*}
 +
a_1&=\max_{(y_1, \dots)\in S(\{B\})} \,y_1, \\
 +
a_2&=\max_{(a_1, y_2, \dots)\in S(\{B\})}\, y_2, \\
 +
&\dots \\
 +
a_n&=\max_{(a_1, a_2, \dots, a_{n-1}, y_n)\in S(\{B\})}\, y_n.
 +
\end{align*}
 +
 +
 +
 +
 
==j-invariant==
 
==j-invariant==
 
* <math>q=e^{2\pi i\tau},\tau\in \mathbb{H}</math>라 두자
 
* <math>q=e^{2\pi i\tau},\tau\in \mathbb{H}</math>라 두자

2018년 11월 11일 (일) 21:19 판

a classical introduction to Gross-Keating invaraiant

$ \newcommand{\Z}{\mathbb Z} \newcommand{\Zn}{\Z_{\geq 0}^n} \newcommand{\ord}{\mathrm{ord}} \newcommand{\calh}{\mathcal H} \newcommand{\frko}{\mathfrak o} \newcommand{\GL}{{\mathrm{GL}}} \newcommand{\GK}{\mathrm{GK}} $


Gross-Keating invariant

Let $B=(b_{ij})\in\calh_n(\frko)^{\rm nd}$. Let $S(B)$ be the set of all non-decreasing sequences $(a_1, \dots, a_n)\in\Zn$ such that \begin{align*} &\ord(b_{ii})\geq a_i \qquad\qquad\qquad\quad (1\leq i\leq n), \\ &\ord(2 b_{ij})\geq (a_i+a_j)/2 \qquad\; (1\leq i\leq j\leq n), \end{align*} and $\S(\{B\}):=\bigcup_{U\in\GL_n(\frko)} S(U^{t}BU)$. The Gross-Keating invariant $\GK(B)=(a_1, \dots, a_n)$ of $B$ is defined by \begin{align*} a_1&=\max_{(y_1, \dots)\in S(\{B\})} \,y_1, \\ a_2&=\max_{(a_1, y_2, \dots)\in S(\{B\})}\, y_2, \\ &\dots \\ a_n&=\max_{(a_1, a_2, \dots, a_{n-1}, y_n)\in S(\{B\})}\, y_n. \end{align*}



j-invariant

  • \(q=e^{2\pi i\tau},\tau\in \mathbb{H}\)라 두자
  • 타원 모듈라 j-함수는 다음과 같이 정의된다

\[ j(\tau)= {E_ 4(\tau)^3\over \Delta(\tau)}=q^{-1}+744+196884q+21493760q^2+\cdots \] 여기서 \[ E_ 4(\tau)=1+240\sum_{n>0}\sigma_3(n)q^n= 1+240q+2160q^2+\cdots,\quad \sigma_3(n)=\sum_{d|n}d^3\]는 아이젠슈타인 급수(Eisenstein series), \[\Delta(\tau)= q\prod_{n>0}(1-q^n)^{24}= q-24q+252q^2+\cdots\] 는 판별식 함수


singular moduli

  • quadratic imaginary number 에서의 값
thm

If $E$ has complex multiplication, then $j(E)$ is an algebraic integer of degree $h_K$. Especially if $h_K=1$, then $j(E)\in \mathbb{Z}$

  • 예 :

$$j(\frac {-1+\sqrt{-163}} {2})=-262537412640768000=-640320^3$$

$$ x^2+x+6,2 x^2-x+3,2 x^2+x+3 $$ 의 상반평면에서의 해를 구하여, 다음의 값을 생각하자 $$ j\left(\frac{1}{2} \left(-1+i \sqrt{23}\right)\right),j\left(\frac{1}{4} \left(1+i \sqrt{23}\right)\right),j\left(\frac{1}{4} \left(-1+i \sqrt{23}\right)\right)$$

  • 이들은 대수적 정수이며, 다음 다항식의 해가 된다

$$ x^3+3491750 x^2-5151296875 x+12771880859375 $$

Siegel-Weil formula

thm

For a positive definite even unimodular lattice $L$, $$\left( \sum_{M\in {\rm gen}(L)}\frac{\Theta_M^{(g)}(Z)}{|{\rm Aut}(M)|}\right)\,\cdot\, \left(\sum_{M\in {\rm gen}(L)}\frac{1}{|{\rm Aut}(M)|}\right)^{-1}= E^{(g)}_{k}(Z),$$

Moreover, the Fourier coefficients $a_{E}(N)$ of $E$ can be expressed as an infinite product of local densities $$ a_{E}(N)=\prod_{p:\text{primes}}\beta_{L,p}(N) \label{lp} $$

mass formula

  • for a half-integral $N$,

$$ a_{E}(N)=\left( \sum_{M\in {\rm gen}(L)}\frac{r_M(N)}{|{\rm Aut}(M)|}\right)\,\cdot\, \left(\sum_{M\in {\rm gen}(L)}\frac{1}{|{\rm Aut}(M)|}\right)^{-1} $$ where $\Theta_M^{(g)}(Z)=\sum_{N}r_M(N)\exp\left(2\pi i \operatorname{Tr}(N\tau)\right)$

  • if $2N$ is a Gram matrix of $L$, then we obtain

$$ a_{E}(N)=\left(\sum_{M\in {\rm gen}(L)}\frac{1}{|{\rm Aut}(M)|}\right)^{-1} $$ as $$ r_M(N) = \begin{cases} |\operatorname{Aut}(L)|, & \text{if }L\sim M \\ 0, & \text{if }L\nsim M \\ \end{cases} $$

  • then we can express

$$ a_{E}(N)=\left(\sum_{M\in {\rm gen}(L)}\frac{1}{|{\rm Aut}(M)|}\right)^{-1} $$ in terms of local densities \ref{lp}, which gives the Smith-Minkowski-Siegel mass formula


modular polynomials

Z}}[x,y]$이 존재하며, 이 때 차수는 $x,y$ 각각에 대하여 $\psi(n)=n\prod_{p|n}(1+1/p)$로 주어진다


  • $n=2$

$$ \Phi_2(x,y)=x^3+y^3-x^2 y^2+1488 (x^2 y + x y^2)-162000 (x^2+y^2) +40773375 x y+8748000000 (x + y)-157464000000000 $$

  • $n=3$

$$ \begin{aligned} \Phi_3(x,y) &=x^4+y^4-x^3 y^3+36864000 \left(x^3+y^3\right)-1069956 \left(x^3 y+x y^3\right)+2587918086 x^2 y^2 \\ &+452984832000000 \left(x^2+y^2\right)+8900222976000 \left(x^2 y+x y^2\right)+2232 \left(x^3 y^2+x^2 y^3\right) \\ &-770845966336000000 x y+1855425871872000000000 (x+y) \end{aligned} $$


related items