Limit sets of discrete dynamical systems
Sector: Government • Location: Poland
Source: EU Funding & Tenders Portal
The proposed project aims to deepen our knowledge on limit sets which will provide a better understanding of the long term behavior of a discrete dynamical system. We will investigate the topological size and structure of basins of limit sets and study the properties of statistical limit sets and limit sets of backward trajectories. We will search for a criterion allowing to decide whether a given
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The proposed project aims to deepen our knowledge on limit sets which will provide a better understanding of the long term behavior of a discrete dynamical system. We will investigate the topological size and structure of basins of limit sets and study the properties of statistical limit sets and limit sets of backward trajectories. We will search for a criterion allowing to decide whether a given closed invariant set is a limit set of some backward trajectory. The focus will be on the low-dimensional dynamical systems such as interval maps, maps acting on the circle, graphs, dendrites, Cantor space. We will use methods and techniques from topological dynamics and ergodic theory, including combinatorial and symbolic dynamics, shadowing, specification property, invariant measures and generic points. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
