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2.3.2 The Veronese embedding and the Central Limit theorem [02A4]

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2.3.2 The Veronese embedding and the Central Limit theorem

Suppose, in the general situation, that the sections of LL generate the sections of LkL^{k} so that we have a surjective linear map

sk​(H0​(L))→H0​(Lk).s^{k}(H^{0}(L))\rightarrow H^{0}(L^{k}).

A metric on H0​(L)H^{0}(L) defines a metric on the symmetric power sk​(H0​(L))s^{k}(H^{0}(L)) in a standard way. Then we can define a metric on H0​(Lk)H^{0}(L^{k}) by identifying it with the orthogonal complement of the kernel of the map above. Then we can use this to define an algebraic Kahler metric on XX by the embedding ιk:X→𝐏⁡(H0​(Lk)∗)\iota_{k}:X\rightarrow{\bf P}(H^{0}(L^{k})^{*}). Now, up to a scale factor, these Kahler metrics are independent of kk. One way of seeing this is that the embedding ιk\iota_{k} is the composite of ι1\iota_{1}£ and the Veronese embedding

j:𝐏⁡(𝐂N)→𝐏⁡(sk​𝐂N),j:{\bf P}({\bf C}^{N})\rightarrow{\bf P}(s^{k}{\bf C}^{N}),

and, up to scale, jj is an isometry of the two Fubini-Study metrics.(This is forced by U⁡(N)U(N)-invariance.) So the same Kahler metric has a whole series of algebraic representations.

Let us see how this works in the toric case. We start with data aνa_{\nu} on P¯∩𝐙n\overline{P}\cap{\bf Z}^{n}. Then we can write

k​ϕ=log⁡(∑aν​eν.t¯)k=2​log​∑Bμ​eμ.t¯,k\phi=\log\left(\sum a_{\nu}e^{\nu.\underline{t}}\right)^{k}=2\log\sum B_{\mu}e^{\mu.\underline{t}},

where the coefficients BμB_{\mu} are

Bμ=∑ν1+…​νk=μaν1​aν2​…​aνk.B_{\mu}=\sum_{\nu_{1}+\dots\nu_{k}=\mu}a_{\nu_{1}}a_{\nu_{2}}\dots a_{\nu_{k}}.

So if we regard (aμ)(a_{\mu}) as a measure AA supported on the lattice points in P¯\overline{P} then the (Bμ)(B_{\mu}) represent the kk-fold convolution A∗…∗AA*\dots*A, supported on the lattice points in k​P¯k\overline{P}. Now rescale back to the fixed polytope PP, so we write bν(k)=Bk​νb_{\nu}^{(k)}=B_{k\nu}, for ν∈P¯∩k−1​𝐙n\nu\in\overline{P}\cap k^{-1}{\bf Z}^{n}. These define an admissible Kahler potential with Legendre transform k​uku, where uu is the Legendre transform of ϕ\phi. Then on compact subsets of PP we claim that

k−1​log⁡bν(k)=u+O⁡(k−1​log⁡k).k^{-1}\log b_{\nu}^{(k)}=u+O(k^{-1}\log k). (9)

This is essentially the Central Limit theorem, for the convolutions of the discrete measure AA. By applying a translation we can reduce to calculating at the point ν=0∈P\nu=0\in P. Changing the coefficients aνa_{\nu} to aν​ez.νa_{\nu}e^{z.\nu}, for any fixed z∈𝐑nz\in{\bf R}^{n}, does not change either side of (9), when ν=0\nu=0, so we can reduce to the case when ∑aν​ν=0\sum a_{\nu}\nu=0. That is to say, that ϕ\phi attains its minimum at the point t¯=0\underline{t}=0. Now we consider the function

f⁡(θ¯)=∑aν​ei​ν.θ¯.f(\underline{\theta})=\sum a_{\nu}e^{i\nu.\underline{\theta}}.

This is a finite trigonometric polynomial which can be regarded as a function on our compact torus TT. Then

b0(k)=∫Tfk​𝑑θ¯,b_{0}^{(k)}=\int_{T}f^{k}d\underline{\theta},

and our assertion follows from the stationary phase approximation, since the maximum value of |f||f| is ∑aν=u⁡(0)\sum a_{\nu}=u(0).

Of course ff is just the analytic continuation of eϕe^{\phi}, for our Kahler potential ϕ\phi. This makes one wonder if there may be other contexts when it is useful to consider such analytic continuations.

Example For each kk, the round metric on S2S^{2} is described as an algebraic metric with the coefficients aν=(kν)a_{\nu}=\left(\begin{array}[]{c}k\\ \nu\end{array}\right).

Notice that the asymptotics approximations we have discussed hold uniformly over compact subsets of the open polytope PP. The discussion near the boundary of PP is more delicate, because one gets different asymptotic models. A prototype is the different approximations—normal or Poisson–for the binomial distribution in different regimes.

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