The fluid limit of a random graph model for a shared ledger. (March 2021)
- Record Type:
- Journal Article
- Title:
- The fluid limit of a random graph model for a shared ledger. (March 2021)
- Main Title:
- The fluid limit of a random graph model for a shared ledger
- Authors:
- King, Christopher
- Abstract:
- Abstract: A shared ledger is a record of transactions that can be updated by any member of a group of users. The notion of independent and consistent record-keeping in a shared ledger is important for blockchain and more generally for distributed ledger technologies. In this paper we analyze a stochastic model for the shared ledger known as the tangle, which was devised as the basis for the IOTA cryptocurrency. The model is a random directed acyclic graph, and its growth is described by a non-Markovian stochastic process. We first prove ergodicity of the stochastic process, and then derive a delay differential equation for the fluid model which describes the tangle at high arrival rate. We prove convergence in probability of the tangle process to the fluid model, and also prove global stability of the fluid model. The convergence proof relies on martingale techniques.
- Is Part Of:
- Advances in applied probability. Volume 53:Number 1(2021)
- Journal:
- Advances in applied probability
- Issue:
- Volume 53:Number 1(2021)
- Issue Display:
- Volume 53, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 53
- Issue:
- 1
- Issue Sort Value:
- 2021-0053-0001-0000
- Page Start:
- 81
- Page End:
- 106
- Publication Date:
- 2021-03
- Subjects:
- Directed acyclic graph, -- random growth model, -- fluid limit, -- delay differential equation
60C05, -- 05C80
Probabilities -- Periodicals
Stochastic models -- Periodicals
Electronic journals
Periodicals
519.2 - Journal URLs:
- http://www.appliedprobability.org/content.aspx?Group=journals&Page=apjournals ↗
- DOI:
- 10.1017/apr.2020.48 ↗
- Languages:
- English
- ISSNs:
- 0001-8678
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16000.xml