比特币采矿的均值场博弈方法

IF 1.4 4区 经济学 Q3 BUSINESS, FINANCE SIAM Journal on Financial Mathematics Pub Date : 2024-09-18 DOI:10.1137/23m1617813
Charles Bertucci, Louis Bertucci, Jean-Michel Lasry, Pierre-Louis Lions
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引用次数: 0

摘要

SIAM 金融数学期刊》第 15 卷第 3 期第 960-987 页,2024 年 9 月。 摘要:我们利用均值场博弈框架对比特币区块链上使用的工作证明共识算法进行了分析。利用主方程,我们提供了用于挖掘区块链的总计算能力(哈希率)的均衡特征。这一类模型使我们能够适应许多不同的情况。博弈的基本结构在所有富集情况下都得以保留。在确定性设置中,哈希率最终会达到一个稳定状态,其增长速度仅与技术进步的速度相同。在随机情况下,每一种可能的随机状态都存在一个哈希率目标。因此,我们证明,在均衡状态下,底层区块链的安全性和能耗要么保持不变,要么随着底层加密货币价格的上涨而增加。
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A Mean Field Game Approach to Bitcoin Mining
SIAM Journal on Financial Mathematics, Volume 15, Issue 3, Page 960-987, September 2024.
Abstract.We present an analysis of the Proof-of-Work consensus algorithm, used on the Bitcoin blockchain, using a mean field game framework. Using a master equation, we provide an equilibrium characterization of the total computational power devoted to mining the blockchain (hashrate). This class of models allows us to adapt to many different situations. The essential structure of the game is preserved across all the enrichments. In deterministic settings, the hashrate ultimately reaches a steady state in which it increases at the rate of technological progress only. In stochastic settings, there exists a target for the hashrate for every possible random state. As a consequence, we show that in equilibrium the security of the underlying blockchain and the energy consumption either are constant or increase with the price of the underlying cryptocurrency.
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来源期刊
SIAM Journal on Financial Mathematics
SIAM Journal on Financial Mathematics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.30
自引率
10.00%
发文量
52
期刊介绍: SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.
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