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arXiv 2402.01015math.OCmath.PR
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具有溢出效应和平均场项的最优广告模型

An optimal advertising model with carryover effect and mean field terms

Fausto Gozzi, Federica Masiero, Mauro Rosestolato

AI总结:

研究不确定性下含溢出效应与平均场项的新产品最优广告问题,将其建模为无限维平均场控制问题,并通过辅助方法在简单情形下求解。

摘要:

我们考虑一类在不确定性下将新产品推向市场的最优广告问题,沿袭Vidale和Wolfe(1957)以及Nerlove和Arrow(1962)的开创性论文。我们模型的主要特征是:一方面,我们假设存在溢出效应(即广告支出会延迟影响商誉);另一方面,我们在状态方程和目标函数中引入了一些平均场项,以考虑其他智能体的存在。我们采取优化所有智能体平均利润的规划者视角,因此属于所谓的“平均场控制”问题族。溢出效应的同时存在使问题变为无限维,因此属于一个通常非常困难且研究才刚刚开始的问题族,参见Cosso等人(2023)。作为第一步,我们在此考虑该问题的一个简单版本,通过一个合适的辅助问题在简单情况下提供解决方案。

英文摘要:

We consider a class of optimal advertising problems under uncertainty for the introduction of a new product into the market, on the line of the seminal papers of Vidale and Wolfe, 1957, and Nerlove and Arrow, 1962. The main features of our model are that, on one side, we assume a carryover effect (i.e. the advertisement spending affects the goodwill with some delay); on the other side we introduce, in the state equation and in the objective, some mean field terms which take into account the presence of other agents. We take the point of view of a planner who optimizes the average profit of all agents, hence we fall into the family of the so-called "Mean Field Control" problems. The simultaneous presence of the carryover effect makes the problem infinite dimensional hence belonging to a family of problems which are very difficult in general and whose study started only very recently, see Cosso et Al, 2023. Here we consider, as a first step, a simple version of the problem providing the solutions in a simple case through a suitable auxiliary problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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