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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

On the 4 by 4 Irreducible Sign Pattern Matrices that Require Four Distinct Eigenvalues

Kim, Paul J 11 August 2011 (has links)
A sign pattern matrix is a matrix whose entries are from the set {+,-,0}. For a real matrix B, sgn(B) is the sign pattern matrix obtained by replacing each positive(respectively, negative, zero) entry of B by + (respectively, -, 0). For a sign pattern matrix A, the sign pattern class of A, denoted Q(A), is defined as {B: sgn(B) = A}. An n by n sign pattern matrix A requires all distinct eigenvalues if every real matrix whose sign pattern is represented by A has n distinct eigenvalues. In this thesis, a number of sufficient and/or necessary conditions for a sign pattern to reuiqre all distinct eigenvalues are reviewed. In addition, for n=2 and 3, the n by n sign patterns that require all distinct eigenvalues are surveyed. We determine most of the 4 by 4 irreducible sign patterns that require four distinct eigenvalues.
2

Riemann Roch Theorem For Algebraic Curves

Rajeev, B 03 1900 (has links) (PDF)
No description available.
3

Velocity-Dependent Nucleon-Nucleon Potentials

Bhaduri, Rajat K. 08 1900 (has links)
<p> An investigation is carried out to see whether a nonsingular two-nucleon velocity-dependent potential can give similar results as those of a model hard-core potential in the a-state in nuclear-matter. Reasons for failure of some earlier velocity-dependent model potentials to give saturation in nuclear-matter at reasonable densities are examined and a new velocity-dependent potential is proposed which gives results similar to the model hard-core potential. </p> / Thesis / Doctor of Philosophy (PhD)

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