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Nonlinear Equations - UFRJ

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[SEC. 1.3: SPARSE POLYNOMIAL SYSTEMS 9<br />

+ 1 2<br />

=<br />

0 0<br />

0<br />

Figure 1.1: Minkowski linear combination.<br />

Definition 1.7 (Minkowski linear combinations). (See fig.1.1) Given<br />

convex sets A 1 , . . . , A n and fixed coefficients λ 1 , . . . , λ n , the linear<br />

combination λ 1 A 1 + · · · + λ n A n is the set of all<br />

where a i ∈ A i .<br />

λ 1 a 1 + · · · + λ n a n<br />

The reader will show in the exercises that<br />

Proposition 1.8. Let A 1 , . . . , A s be compact convex subsets of R n .<br />

Let λ 1 , . . . , λ s > 0. Then,<br />

Vol(λ 1 A 1 + · · · + λ s A s )<br />

is a homogeneous polynomial of degree s in λ 1 , . . . , λ s .<br />

Theorem 1.9 (Bernstein [17]). Let A 1 , . . . , A n ⊂ Z n be finite sets.<br />

Let A i be the convex hull of A i . Let B be the coefficient of λ 1 . . . λ n<br />

in the polynomial<br />

Vol(λ 1 A 1 + · · · + λ n A n ).<br />

Then, for a generic choice of coefficients f ia ∈ C, the system of

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