Negative Prices in Network Pricing Games

04/18/2019
by   Andrés Cristi, et al.
0

In a Stackelberg network pricing game, a leader sets prices for a given subset of edges so as to maximize profit, after which one or multiple followers choose a shortest path from their source to sink. We study the counter-intuitive phenomenon that the use of negative prices by the leader may in fact increase his profit. In doing so, we answer the following two questions. First, how much more profit can the leader earn by setting negative prices? Second, for which network topologies can the profit be increased by using negative prices? Our main result shows that the profit with negative prices can be a factor Θ( (m·k̅)) larger than the maximum profit with positive prices, where m is the number of priceable edges in the graph and k̅≤ 2^m the number of followers. In particular, this factor cannot be bounded for the single follower case, and can even grow linearly in m if the number of followers is large. Our second result shows that series-parallel graphs with a single follower and Stackelberg games with matroid followers are immune to the negative price paradox.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/09/2023

Sublogarithmic Approximation for Tollbooth Pricing on a Cactus

We study an envy-free pricing problem, in which each buyer wishes to buy...
research
07/13/2023

Stackelberg Vertex Cover on a Path

A Stackelberg Vertex Cover game is played on an undirected graph 𝒢 where...
research
08/26/2021

Calculating Cost Distributions of a Multiservice Loss System

Congestion pricing has received lots of attention in scientific discussi...
research
10/19/2021

The dynamic relationship of crude oil prices on macroeconomic variables in Ghana: a time series analysis approach

The study investigates the effects of crude oil prices on inflation and ...
research
02/23/2023

On price-induced minmax matchings

We study a natural combinatorial pricing problem for sequentially arrivi...
research
05/19/2019

Learning-Based Priority Pricing for Job Offloading in Mobile Edge Computing

Mobile edge computing (MEC) is an emerging paradigm where users offload ...
research
08/24/2023

A note on improving the search of optimal prices in envy-free perfect matchings

We present a method for finding envy-free prices in a combinatorial auct...

Please sign up or login with your details

Forgot password? Click here to reset