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Visar resultat 1 - 5 av 72 uppsatser som matchar ovanstående sökkriterier.
1. The Collapse of Decoherence : Can Decoherence Theory Solve The Problems of Measurement?
Master-uppsats, Uppsala universitet/MaterialteoriSammanfattning : In this review study, we ask ourselves if decoherence theory can solve the problems of measurement in quantum mechanics. After an introduction to decoherence theory, we present the problem of preferred basis, the problem of non-observability of interference and the problem of definite outcomes. LÄS MER
2. Dirichlet-to-Neumann maps and Nonlinear eigenvalue problems
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : Differential equations arise frequently in modeling of physical systems, often resulting in linear eigenvalue problems. However, when dealing with large physical domains, solving such problems can be computationally expensive. LÄS MER
3. Gap Probabilities in Random Matrix Ensembles
Kandidat-uppsats, Uppsala universitet/Analys och partiella differentialekvationerSammanfattning : In this degree project we look at eigenvalue statistics of two randommatrix ensembles, the Gaussian and the circular ensembles. We beginwith their definition and discuss the joint probability distribution of theirentries and eigenvalues. LÄS MER
4. A geometric approach to calculating the limit set of eigenvalues for banded Toeplitz matrices
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This thesis is about the limiting eigenvalue distribution of n × n Toeplitz matrices as n → ∞. The two classical questions we want to answer are: what is the limit set of the eigenvalues, and what is the limiting distribution of the eigenvalues. Our main result is a new approach to calculate the limit set Λ(b) for a Laurent polynomial b, i.e. LÄS MER
5. Perron-Frobenius' Theory and Applications
Kandidat-uppsats, Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : This is a literature study, in linear algebra, about positive and nonnegative matrices and their special properties. We say that a matrix or a vector is positive/nonnegative if all of its entries are positive/nonnegative. First, we study some generalities and become acquainted with two types of nonnegative matrices; irreducible and reducible. LÄS MER