Abstract:We have calculated the residual resistivity of an AI-Zn alloy in the first stages of aging at 20 "C, determining the influence of numerous basic parameters (shape, density and concentration of Guinier-Preston (GP) zones, pseudopotentials and decomposition kinetics) on the resistivity anomaly. By considering the GP zones to be truly spherical and evolving temporally with a diameter proportional to the one-third power of the aging time we achieved agreement between experiment and theory. 0305-4608/84/112601 + 12… Show more
“…Malyshev's Theorem. Random walks on regular language have previously been studied by Malyshev and co-authors in [18] and [9], in which they are called "random strings". Malyshev proves the following basic theorem:…”
Abstract.A random walk on a regular language is a Markov chain on the set of all finite words from a finite alphabet A whose transition probabilities obey the following rules: (1) Only the last two letters of a word may be modified in one jump, and at most one letter may be adjoined or deleted. (2) Probabilities of modification, deletion, and/or adjunction depend only on the last two letters of the current word. Special cases include (a) reflecting random walks on the nonnegative integers; (b) LIFO queues; (c) finite-range random walks on homogeneous trees; and (d) random walks on the modular group P SL 2 (Z). It is shown that the n−step transition probabilities of a random walk on a regular language must obey one of three different types of power laws. The analysis is based on the study of an algebraic system of generating functions related to the Green's function.
“…Malyshev's Theorem. Random walks on regular language have previously been studied by Malyshev and co-authors in [18] and [9], in which they are called "random strings". Malyshev proves the following basic theorem:…”
Abstract.A random walk on a regular language is a Markov chain on the set of all finite words from a finite alphabet A whose transition probabilities obey the following rules: (1) Only the last two letters of a word may be modified in one jump, and at most one letter may be adjoined or deleted. (2) Probabilities of modification, deletion, and/or adjunction depend only on the last two letters of the current word. Special cases include (a) reflecting random walks on the nonnegative integers; (b) LIFO queues; (c) finite-range random walks on homogeneous trees; and (d) random walks on the modular group P SL 2 (Z). It is shown that the n−step transition probabilities of a random walk on a regular language must obey one of three different types of power laws. The analysis is based on the study of an algebraic system of generating functions related to the Green's function.
“…It is also well known that the derivative of A at y = 1 determines where the minimal fixed point X min is located. Let A (1) (1) be the derivative of A at y = 1. If A (1) (1) > 1, then X min < 1; otherwise, X min = 1.…”
Section: Fixed Points Of the Mapping Amentioning
confidence: 99%
“…Let A (1) (1) be the derivative of A at y = 1. If A (1) (1) > 1, then X min < 1; otherwise, X min = 1. In this section, these results are generalized to cases with m ≥ 1 and K ≥ 1.…”
Section: Fixed Points Of the Mapping Amentioning
confidence: 99%
“…If A has a fixed point Y in N K m (1) (defined in Section 4), Y can play a role similar to that of y = 1 for the m = K = 1 case. Instead of the derivative A (1) (y) at y = 1, we consider the Jacobian matrix A (1) (Y , Y ) at Y . Then we look at the Perron-Frobenius eigenvalue sp(A (1) (Y , Y )) to locate the minimal nonnegative fixed point of A.…”
Section: Fixed Points Of the Mapping Amentioning
confidence: 99%
“…The matrix M/G/1-type Markov chain with a tree structure was introduced in [13]. The classification conditions of this class of Markov chains were found in [1], [4] and [5]. In a recent paper, [6], the scalar M/G/1type, the scalar GI/M/1-type and the matrix M/G/1-type Markov chains with a tree structure were studied.…”
In this paper, we study the classification of matrix GI/M/1-type Markov chains with a tree structure. We show that the Perron–Frobenius eigenvalue of a Jacobian matrix provides information for classifying these Markov chains. A fixed-point approach is utilized. A queueing application is presented to show the usefulness of the classification method developed in this paper.
All or them are quasi-local, therefore continuous, therefore all of them have an invariant measure. In addition, all of them are fine, which helps to localize their invariant measure and to prove its non-uniqueness.
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