Harris Lemma for Discrete-Time Growth Models
スポンサーリンク
概要
- 論文の詳細を見る
Upper bounds on survival probabilities of discrete-time growth models are obtained by using a discrete-time version of the Harris lemma which is presented for the first time in this letter.
- 社団法人日本物理学会の論文
- 1995-05-15
著者
-
Konno Norio
Department Of Applied Mathematics Faculty Of Engineering Yokohama National University
-
Konno Norio
Department Of Mathematical Sciences Muroran Institute Of Technology
関連論文
- Symmetry of Distribution for the One-Dimensional Hadamard Walk
- An Associative Memory System with Fuzzy Numbers (特集:マルチメディア通信と分散処理)
- Phase Transition of the Contact Process on the Binary Tree
- Successional Dynamical Models on the 2-Dimensional Lattice Space
- Correlation Inequalities and Lower Bounds for the Critical Value λ_c of Contact Processes
- Applications of the CAM Based on a New Decoupling Procedure of Correlation Functions in the One-Dimensional Contact Process
- Approximation for extinction probability of the contact process based on the Grobner basis(Theory of Biomathematics and its Applications III)
- Effect of Successive Observation on Quantum Cellular Automaton(General)
- Limit theorems for some statistics of a generalized threshold network model(Theory of Biomathematics and its Applications III)
- Upper Bounds for Order Parameters of a Class of Attractive Nearest-Particle Systems with Finite Ranges
- Applications of the Harris-FKG Inequality to Upper Bounds for Order Parameters in the Contact Processes
- Local Directed Percolation Probability in Two Dimensions
- Three-Point Markov Extension and an Improved Upper Bound for Survival Probability of the One-Dimensional Contact Process
- A new type of limit theorems for the one-dimensional quantum random walk
- Harris Lemma for Discrete-Time Growth Models
- Upper Bounds on Order Parameters of Diffusive Contact Processes
- Upper Bounds on Survival Probabilities for a Nonattractive Model
- Orthogonal Polynomials Induced by Discrete-Time Quantum Walks in One Dimension
- Limit Theorems for the Average Distance and the Degree Distribution of the Threshold Network Model