Approximation Algorithms for Envy-Free Cake Division with Connected Pieces
Siddharth Barman, Pooja Kulkarni

TL;DR
This paper presents improved polynomial-time approximation algorithms for envy-free cake division with connected pieces, achieving better additive and multiplicative envy bounds under standard valuation assumptions.
Contribution
It introduces a novel polynomial-time algorithm that enhances the additive envy approximation while maintaining multiplicative bounds, and provides a FPTAS for instances with bounded valuation diversity.
Findings
Achieves a 4-additive envy-free division with connected pieces.
Maintains a 2-multiplicative envy-free division.
Provides a FPTAS for instances with limited valuation types.
Abstract
Cake cutting is a classic model for studying fair division of a heterogeneous, divisible resource among agents with individual preferences. Addressing cake division under a typical requirement that each agent must receive a connected piece of the cake, we develop approximation algorithms for finding envy-free (fair) cake divisions. In particular, this work improves the state-of-the-art additive approximation bound for this fundamental problem. Our results hold for general cake division instances in which the agents' valuations satisfy basic assumptions and are normalized (to have value for the cake). Furthermore, the developed algorithms execute in polynomial time under the standard Robertson-Webb query model. Prior work has shown that one can efficiently compute a cake division (with connected pieces) in which the additive envy of any agent is at most . An efficient…
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