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a gauss-bonnet theorem, chern classes and an adjunction formula

a gauss-bonnet theorem, chern classes and an adjunction formula

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46<br />

Proposition 3.14. Suppose that the following conditions are satisfied:<br />

1)at <strong>an</strong>y point x ∈ X i ∩ X the intersection of the t<strong>an</strong>gent spaces T x X i <strong><strong>an</strong>d</strong> T x X<br />

has codimension at least i,<br />

2)the intersection X i ∩ C X has codimension at least i in C X .<br />

For a generic linear function f on W consider a vector subspace V f ⊂ CP N of<br />

codimension m given by the equations f(l 1 (x)) = . . . = f(l m (x)) = 0. Then<br />

1. If dim X = m, then all intersection points X ∩ V f are tr<strong>an</strong>sverse <strong><strong>an</strong>d</strong> their<br />

number is equal to the degree of X: #(X ∩ V f ) = degX.<br />

2. If dim X < m, then X ∩ V f is empty.<br />

Proof. First, prove that for a generic f the subspace V f does not intersect X at<br />

infinity, i.e. V f intersects the asymptotic cone of X only at the origin. To do this<br />

consider the subvariety D ⊂ W ∗ of all linear functions f on W such that P(V f )<br />

does intersect P(C X ). It is enough to show that the dimension of D is less th<strong>an</strong> N.<br />

Indeed, in this case the complement to D in W ∗ is <strong>an</strong> open dense subset <strong><strong>an</strong>d</strong> for<br />

<strong>an</strong>y f from the complement, the subspace V f intersects C X only at the origin. Let<br />

us estimate the dimension of D. Consider a subvariety ˜D ⊂ P(C X ) × W ∗ consisting<br />

of all pairs (z, f) such that P(V f ) contains z. Then D is the image of ˜D under its<br />

projection onto W ∗ . Hence the dimension of D is less th<strong>an</strong> or equal to the dimension<br />

of ˜D. A filtration Xm ∩ C X ⊂ X m−1 ∩ C X ⊂ . . . ⊂ X 1 ∩ C X ⊂ C X induces a<br />

filtration on P(C X ). Consider the projection of ˜D onto P(CX ). The preimage of<br />

z ∈ P((X i \ X i+1 ) ∩ C X ) has dimension N − m + i. Indeed, it coincides with the<br />

subspace of W ∗ given by the linear system of r<strong>an</strong>k m − i (which consists of m linear<br />

equations f(l 1 (x)) = . . . = f(l m (x)) = 0). Thus the dimension of the preimage of<br />

P((X i \ X i+1 ) ∩ C X ) has dimension at most (N − m + i) + (m − i − 1) = N − 1. It<br />

follows that the dimension of ˜D is at most N − 1.<br />

Note that exactly the same argument proves the second part of Proposition 3.14.

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