5.1.1. Case for
Let be a metric on , one studies the algebra norm on . One would like to show that with various assumptions, it is a Gauss algebra norm, namely the standard affinoid algebra norm on the polynomial algebra. Then the normed section algebra will be a Tate affinoid algebra. (see Definition 2.38)
By Proposition 2.15, there exist an orthogonal basis for the normed vector space . For any , one denotes by the value , and by the multi-radius . One fixes such an orthogonal basis, and identify the graded -algebra with . For any multi-index , one denotes by the monomial element .
Note that in general, the sub-spaces are orthogonal with respect to for different , while a Gauss algebra norm exhibits a much finer orthogonality: the sub-spaces generated by each mononial should be orthogonal for different .
First, on monomial elements, the algebra norm resembles a Gauss norm.
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Proposition 5.1. For any , one has
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Proof. Take a complete non-Archimedean valued field extension of such that
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hence for any , there exist elements such that . One denotes by the point given by coordinates .
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Claim 5.2. For any , one has
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In other words, the maximum of the function on is , and the maximum values of these functions can be attained at the same point .
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Proof. By the orthogonality of the basis , we can compute
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The last equality is obtained by Lemma 3.13.
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By this Claim, for any multi-index , the function can attain its maximum value at the point as the product of maximum of factors of the monomial. By definition,
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Second, one calculates the algebra norm on any (homogeneous) combination of monomials. For a general metric, one needs a -independence assumption to gain finer orthogonality.
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Proposition 5.3. Assume that are -independent in . Let be a finite set of multi-indices, then for any any , one has
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In other words, the algebra norm on is a Gauss norm on of multi-radius . The Banach -algebra is an affinoid algebra.
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Proof. By the -independence assumption and Proposition 5.1, for any two distinct multi-index and , and any two non-zero coefficients and in , we have
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By Lemma 2.13, the elements form an orthogonal basis for the normed vector space . So the equality in the conclusion holds.
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Corollary 5.4. With the same assumptions as above, the envelop metric is a Fubini-Study metric induced by , and is continuous.
For a Fubini-Study metric, one does not need the -independence. For any , one constructs a perturbed metric as follows. Let be the norm on such that is an orthogonal basis with new norms
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Let be the metric on . Let denote the number .
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Lemma 5.5. Assume that is a Fubini-Study metric. For any , there exists with such that
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Proof. Choose an arbitrary with . Then
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By Proposition 3.12, we have
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by the assumption and Proposition 3.11,
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so the conlusion holds.
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Proposition 5.6. Assume that is a Fubini-Study metric. The conclusion of Proposition 5.3 holds without the assumption of -independence of .
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Proof. Since is discrete, for any , there exists with such that the elements are -independent in . By Proposition 5.5, for any and any ,
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By Proposition 5.3, one has
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Fix and let , one gets
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So one has
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Hence is a Gauss norm of multi-radius on .
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