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Results on the Number of Zeros in a Disk for Three Types of PolynomialsBryant, Derek, Gardner, Robert 01 January 2016 (has links)
We impose a monotonicity condition with several reversals on the moduli of the coefficients of a polynomial. We then consider three types of polynomials: (1) those satisfying the condition on all of the coefficients, (2) those satisfying the condition on the even indexed and odd indexed coefficients separately, and (3) polynomials of the form P(z) = a0+ Σnj=µ ajzj where µ ≥ 1 with the coefficients aµ; aµ+1;…; an satisfying the condition. For each type of polynomial, we give a result which puts a bound on the number of zeros in a disk (in the complex plane) centered at the origin. For each type, we give an example showing the results are best possible.
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The Number of Zeros of a Polynomial in a Disk as a Consequence of Restrictions on the CoefficientsGardner, Robert, Shields, Brett 01 December 2015 (has links)
We put restrictions on the coefficients of polynomials and give bounds concerning the number of zeros in a specific region. The restrictions involve a monotonicity-type condition on the coefficients of the even powers of the variable and on the coefficients of the odd powers of the variable (treated separately). We present results by imposing the restrictions on the moduli of the coefficients, the real and imaginary parts of the coefficients, and the real parts (only) of the coefficients.
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Essays on Comparative Statics on Non-expected Utility Models / 非期待効用モデルの比較静学Tanaka, Hiroyuki 25 March 2019 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(経済学) / 甲第21523号 / 経博第591号 / 新制||経||288(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 梶井 厚志, 教授 原 千秋, 教授 若井 克俊 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DFAM
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Zigzags of Finite, Bounded Posets and Monotone Near-Unanimity Functions and Jónsson OperationsMartin, Eric January 2009 (has links)
We define the notion of monotone operations admitted by partially ordered sets,
specifically monotone near-unanimity functions and Jónsson operations. We then
prove a result of McKenzie's in [8] which states that if a finite, bounded poset P
admits a set of monotone Jónsson operations then it admits a set of monotone
Jónsson operations for which the operations with even indices do not depend on
their second variable. We next define zigzags of posets and prove various useful
properties about them. Using these zigzags, we proceed carefully through Zadori's
proof from [12] that a finite, bounded poset P admits a monotone near-unanimity
function if and only if P admits monotone Jónsson operations.
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Zigzags of Finite, Bounded Posets and Monotone Near-Unanimity Functions and Jónsson OperationsMartin, Eric January 2009 (has links)
We define the notion of monotone operations admitted by partially ordered sets,
specifically monotone near-unanimity functions and Jónsson operations. We then
prove a result of McKenzie's in [8] which states that if a finite, bounded poset P
admits a set of monotone Jónsson operations then it admits a set of monotone
Jónsson operations for which the operations with even indices do not depend on
their second variable. We next define zigzags of posets and prove various useful
properties about them. Using these zigzags, we proceed carefully through Zadori's
proof from [12] that a finite, bounded poset P admits a monotone near-unanimity
function if and only if P admits monotone Jónsson operations.
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Convergece Analysis of the Gradient-Projection MethodChow, Chung-Huo 09 July 2012 (has links)
We consider the constrained convex minimization problem:
min_x∈C f(x)
we will present gradient projection method which generates a sequence x^k
according to the formula
x^(k+1) = P_c(x^k − £\_k∇f(x^k)), k= 0, 1, ¡P ¡P ¡P ,
our ideal is rewritten the formula as a xed point algorithm:
x^(k+1) = T_(£\k)x^k, k = 0, 1, ¡P ¡P ¡P
is used to solve the minimization problem.
In this paper, we present the gradient projection method(GPM) and different choices of the stepsize to discuss the convergence of gradient projection
method which converge to a solution of the concerned problem.
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Complementarity ProblemsLin, Yung-shen 30 July 2007 (has links)
In this thesis, we report recent results on existence for complementarity problems in infinite-dimensional spaces under generalized monotonicity are reported.
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Projection Methods for Variational Inequalities Governed by Inverse Strongly Monotone OperatorsLin, Yen-Ru 26 June 2010 (has links)
Consider the variational inequality (VI)
x* ∈C, ‹Fx*, x - x* ›≥0, x∈C (*)
where C is a nonempty closed convex subset of a real Hilbert space H and
F : C¡÷ H is a monotone operator form C into H. It is known that if F is
strongly monotone and Lipschitzian, then VI (*) is equivalently turned into
a fixed point problem of a contraction; hence Banach's contraction principle
applies. However, in the case where F is inverse strongly monotone, VI (*)
is equivalently transformed into a fixed point problem of a nonexpansive
mapping. The purpose of this paper is to present some results which apply
iterative methods for nonexpansive mappings to solve VI (*). We introduce
Mann's algorithm and Halpern's algorithm and prove that the sequences
generated by these algorithms converge weakly and respectively, strongly to
a solution of VI (*), under appropriate conditions imposed on the parameter
sequences in the algorithms.
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Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set MethodsMair, Patrick, Hornik, Kurt, de Leeuw, Jan 21 October 2009 (has links) (PDF)
In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints. Besides of general convex functions we extend existing PAVA implementations in terms of observation weights, approaches for tie handling, and responses from repeated measurement designs. Since isotone optimization problems can be formulated as convex programming problems with linear constraints we then develop a primal active set method to solve such problem. This methodology is applied on specific loss functions relevant in statistics. Both approaches are implemented in the R package isotone. (authors' abstract)
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On the Einstein-Vlasov systemFjällborg, Mikael January 2006 (has links)
<p>In this thesis we consider the Einstein-Vlasov system, which models a system of particles within the framework of general relativity, and where collisions between the particles are assumed to be sufficiently rare to be neglected. Here the particles are stars, galaxies or even clusters of galaxies, which interact by the gravitational field generated collectively by the particles.</p><p>The thesis consists of three papers, and the first two are devoted to cylindrically symmetric spacetimes and the third treats the spherically symmetric case.</p><p>In the first paper the time-dependent Einstein-Vlasov system with cylindrical symmetry is considered. We prove global existence in the so called polarized case under the assumption that the particles never reach a neighborhood of the axis of symmetry. In the more general case of a non-polarized metric we need the additional assumption that the derivatives of certain metric components are bounded in a vicinity of the axis of symmetry to obtain global existence.</p><p>The second paper of the thesis considers static cylindrical spacetimes. In this case we prove global existence in space and also that the solutions have finite extension in two of the three spatial dimensions. It then follows that it is possible to extend the spacetime by gluing it with a Levi-Civita spacetime, i.e. the most general vacuum solution of the static cylindrically symmetric Einstein equations.</p><p>In the third and last paper, which is a joint work with C. Uggla and M. Heinzle, the static spherically symmetric Einstein-Vlasov system is studied. We introduce a new method by rewriting the system as an autonomous dynamical system on a state space with compact closure. In this way we are able to improve earlier results and enlarge the class of distribution functions which give rise to steady states with finite mass and finite extension.</p>
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