Arithmetic of Complex Manifolds by Barth W.P. (ed.), Lange H. (ed.)

By Barth W.P. (ed.), Lange H. (ed.)

Show description

Read or Download Arithmetic of Complex Manifolds PDF

Similar mathematics_1 books

Mathematics, Affect and Learning: Middle School Students' Beliefs and Attitudes About Mathematics Education

This publication examines the ideals, attitudes, values and feelings of scholars in Years five to eight (aged 10 to fourteen years) approximately arithmetic and arithmetic schooling. essentially, this publication specializes in the advance of affective perspectives and responses in the direction of arithmetic and arithmetic studying. moreover, it appears scholars strengthen their extra unfavourable perspectives of arithmetic in the course of the center college years (Years five to 8), and so right here we be aware of scholars during this severe interval.

Extra resources for Arithmetic of Complex Manifolds

Sample text

INTEGRAL INEQUALITIES OVER A SYMMETRIC CONVEX SET that Ac^lk is symmetric about the origin and convex. Let Σ 1? Σ 2 be two positive definite covariance matrices. Xi[XSA] >ΡΣ,Σ2[ΧΕΑ]. 12) are strict. Proof. Let Xz be distributed according to Τνχθ,Σ,) for / = 1,2, and let Y be an Νφ,^ — Σ^) variable that is independent of Xj. 3. ■ Note that a special case of the above corollary occurs when both Σ! and Σ 2 are diagonal matrices. In this special case the statement is, of course, trivial. In the following we shall give a theorem that is analogous to but different from Anderson's theorem.

5. 40 3. 2. MULTIVARIATE CHI-SQUARE AND / DISTRIBUTIONS The study of inequalities for multivariate chi-square distribution was motivated mainly by the problem of constructing joint confidence regions for normal variances when the random variables are correlated. In the following we give a theorem which says that if each of the correlation matrices of the variables has the structure /, then a multivariate chi-square probability is bounded below by the product of the marginal probabilities. Again, without loss of generality the common variance may be assumed to be one.

38, 278-280. [Corrigenda (1968). Ann. Math. Statist. ] Sidâk, Z. (1967). Rectangular confidence regions for the means of multivariate normal distributions. / . Amer. Statist. Assoc. 62, 626-633. Sidàk, Z. (1968). On multivariate normal probabilities of rectangles: Their dependence on correlations. Ann. Math. Statist. 39, 1425-1434. Sidâk, Z. (1971). On probabilities of rectangles in multivariate Student distributions: Their dependence on correlations. Ann. Math. Statist. 42, 169-175. REFERENCES 35 Sidak, Z.

Download PDF sample

Rated 4.68 of 5 – based on 43 votes