Abstract
We study prior-free revenue maximization for a seller with unlimited supply of n item types facing m myopic buyers present for \(k\!<\!\log n\) days. We show that a certain randomized schedule of posted prices has an approximation factor of \(O(\frac{\log m + \log n}{k})\). This algorithm relies on buyer valuations having hereditary maximizers, a novel natural property satisfied for example by gross substitutes valuations. We obtain a matching lower bound with multi-unit valuations. In light of existing results [2], k days can thus improve the approximation by a Θ(k) factor. We also provide a posted price schedule with the same factor for positive affine allocative externalities, despite an increase in the optimal revenue.
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Balcan, MF., Constantin, F. (2010). Sequential Item Pricing for Unlimited Supply. In: Saberi, A. (eds) Internet and Network Economics. WINE 2010. Lecture Notes in Computer Science, vol 6484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17572-5_5
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DOI: https://doi.org/10.1007/978-3-642-17572-5_5
Publisher Name: Springer, Berlin, Heidelberg
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