Search for dissertations about: "matrices mathematics"
Showing result 6 - 10 of 128 swedish dissertations containing the words matrices mathematics.
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6. Extreme points of the Vandermonde determinant in numerical approximation, random matrix theory and financial mathematics
Abstract : This thesis discusses the extreme points of the Vandermonde determinant on various surfaces, their applications in numerical approximation, random matrix theory and financial mathematics. Some mathematical models that employ these extreme points such as curve fitting, data smoothing, experimental design, electrostatics, risk control in finance and method for finding the extreme points on certain surfaces are demonstrated. READ MORE
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7. Infinite-dimensional Lie bialgebras and Manin pairs
Abstract : This PhD thesis is devoted to the theory of infinite-dimensional Lie bialgebra structures as well as their close relatives such as r-matrices and Manin pairs. The thesis is based on three papers. Paper I. READ MORE
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8. Studies in Estimation of Patterned Covariance Matrices
Abstract : Many testing, estimation and confidence interval procedures discussed in the multivariate statistical literature are based on the assumption that the observation vectors are independent and normally distributed. The main reason for this is that often sets of multivariate observations are, at least approximately, normally distributed. READ MORE
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9. Simple Modules over Lie Algebras
Abstract : Simple modules are the elemental components in representation theory for Lie algebras, and numerous mathematicians have worked on their construction and classification over the last century. This thesis consists of an introduction together with four research articles on the subject of simple Lie algebra modules. READ MORE
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10. Contributions to High–Dimensional Analysis under Kolmogorov Condition
Abstract : This thesis is about high–dimensional problems considered under the so{called Kolmogorov condition. Hence, we consider research questions related to random matrices with p rows (corresponding to the parameters) and n columns (corresponding to the sample size), where p > n, assuming that the ratio converges when the number of parameters and the sample size increase. READ MORE