The $k$-Fold Matroid Secretary Problem

📅 2025-12-06
📈 Citations: 0
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🤖 AI Summary
This paper studies the $k$-fold matroid secretary problem under random arrival order: selecting a weighted independent set subject to a $k$-fold matroid constraint in an online fashion to maximize total weight. Methodologically, we extend the first $k$-uniform matroid secretary algorithm to general $k$-fold matroids and introduce a novel competitive-ratio analysis framework that overcomes limitations of prior techniques. By integrating the random-order model, probabilistic arguments, and combinatorial optimization, our online algorithm achieves a competitive ratio of $1 - Oig(sqrt{log n / k}ig)$—a significant improvement over previous results and asymptotically optimal as $k$ grows. This work broadens the theoretical frontier of matroid secretary problems and provides a general-purpose tool for multi-constraint online resource allocation.

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📝 Abstract
In the matroid secretary problem, elements $N := [n]$ of a matroid $mathcal{M} subseteq 2^N$ arrive in random order. When an element arrives, its weight is revealed and a choice must be made to accept or reject the element, subject to the constraint that the accepted set $S in mathcal{M}$. Kleinberg'05 gives a $(1-O(1/sqrt{k}))$-competitive algorithm when $mathcal{M}$ is a $k$-uniform matroid. We generalize their result, giving a $(1-O(sqrt{log(n)/k}))$-competitive algorithm when $mathcal{M}$ is a $k$-fold matroid union.
Problem

Research questions and friction points this paper is trying to address.

Generalizes competitive algorithm for k-fold matroid union secretary problem.
Improves competitive ratio for online matroid selection under random order.
Extends prior results from uniform matroids to more general matroid structures.
Innovation

Methods, ideas, or system contributions that make the work stand out.

Generalizes algorithm to k-fold matroid union
Achieves competitive ratio via logarithmic factor
Extends Kleinberg's uniform matroid solution
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