Matrices with non-negative elements
dc.contributor.author
Schneider, Hans
en
dc.date.accessioned
2019-02-15T14:20:14Z
dc.date.available
2019-02-15T14:20:14Z
dc.date.issued
1952
dc.description.abstract
en
dc.description.abstract
Chapter 1 is a short introductory chapter dealing with
some definitions and basic properties of matrices and vectors.
en
dc.description.abstract
In Chapter 2 we introduce a partial order between
matrices with real elements. For matrices with non-negative
elements our notation' and terminology differ from the usual
ones. The casual reader is advised to read section 2.3
before glancing further. The term "Positive Matrix" will
be used from now on in the sense of 2.3.
en
dc.description.abstract
In Chapter 3 we consider the "normal form" of a
reducible matrix, and some associated sets. We define the
"R-functions", a principal tool of investigation in later
chapters.
en
dc.description.abstract
Chapter 4 contains some consequences of the partial
order "between matrices. Some analogues of the properties
of positive matrices and positive numbers are developed.
en
dc.description.abstract
In Chapter 5 we consider "chains of elements" and
powers of positive matrices.
en
dc.description.abstract
Chapter 6 contains a resumé of the chief algebraic
properties of a matrix that are required in the rest of the
thesis. These concern latent roots and latent vectors, sets
of "generalized latent vectors", classical canonical submatrices,
and principal idempotent and nilpotent elements.
en
dc.description.abstract
In Chapter 7 we describe a method of proving the fundamental properties of positive matrices, which is based on some
work by Probenius.
en
dc.description.abstract
In Chapter 8 we review a method due to Wielandt (1950)
of proving the basic results for irreducible positive matrices.
We give a variant of our own. Lower and upper bounds are found
in terms of the elements of the matrix, for the ratios of
elements of the strictly positive latent column vector associated with the largest positive latent root of an irreducible
positive matrix.
en
dc.description.abstract
In Chapter 9 we deal with "P-matrices". We deduce a
large number of algebraic results purely by inspection of
positive elements, finally we examine "sets" of latent row
vectors.
en
dc.description.abstract
Chapter 10 is the longest chapter. In It we consider
the singular matrix A = ρ I - P , where P is a positive
matrix and ρ its largest positive latent root. We examine
the number of linearly independent latent vectors associated
with the latent root 0 (10. C1 ), sets of positive generalized latent vectors (10. 16), and, when the multiplicity of
0 does not exceed three, the classical canonical submatrices
associated with 0. Provided we know which are singular
when A is in normal form, these questions may be answered by
an inspection of the positions of non-zero elements. In general the orders of the classical canonical submatrices associated with 0 can not be settled in this way, though such
methods suffice to determine whether they are all equal to 1,
(10. 31 ). Finally we consider the principal idempotent and
nilpotent elements of A associated with 0, in some special
cases.
en
dc.description.abstract
The Bibliography then follows. In the text we give as
reference the author's name and the date of publication, thus:
Probenius (1912).
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dc.description.abstract
The Appendix consists of a paper accepted by the
Journal of the London Mathematical Society, "An inequality
for latent roots applied to determinants with dominant
principal diagonal". The theory of matrices with dominant
principal diagonal is closely connected with that for positive
matrices. In this paper we "rejected" notation and terminology of 2.3.
en
dc.identifier.uri
http://hdl.handle.net/1842/33839
dc.publisher
The University of Edinburgh
en
dc.relation.ispartof
Annexe Thesis Digitisation Project 2019 Block 22
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dc.relation.isreferencedby
en
dc.title
Matrices with non-negative elements
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
en
dc.type.qualificationname
PhD Doctor of Philosophy
en
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