Kadison--Singer partitions and Bilu--Linial graph signings in polynomial time

📅 2026-09-20
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本文通过确定性多项式时间算法解决了Kadison-Singer划分和Bilu-Linial图符号问题,控制了符号邻接矩阵与度数,并改进了符号插入方法。
📝 Abstract
We prove two main algorithmic results in spectral discrepancy. First, we give a deterministic polynomial-time rounding theorem for rational positive semidefinite matrices of arbitrary rank. The algorithm starts from any rational fractional signing and assigns one sign per original matrix. Its discrepancy is less than $3.37\,\|\sum_i \mathrm{Tr}(A_i)A_i\|^{1/2}$. This yields Kadison--Singer half-partitions with error below $1.69\sqrt{\varepsilon}$, as well as deterministic graph signings that control signed adjacency and signed degrees simultaneously. The proof builds on the spectral-potential method of Ezeunala and Jiang (2026) and introduces a new way to choose rounding directions. We prove polynomial bit complexity for the rounding procedure. Second, we give a Las Vegas algorithm for the Bilu--Linial signing problem on an arbitrary prescribed graph. If $G$ has $n$ vertices and maximum degree $Δ\ge3$, the algorithm terminates almost surely. It uses fewer than $100n^3$ insertion attempts in expectation and returns a signing with $\|A_s\|<2\sqrt{2(Δ-1)}$. For bipartite graphs its one-sided form gives the sharp universal bound $\|A_s\|<2\sqrt{Δ-1}$. The algorithm builds the signing by inserting vertices and recursively deleting and restoring neighbors after rejected insertions. In the analysis, the $\sqrt2$ gap to the Bilu--Linial conjecture comes from a factor of two in the bound for vertex deletions in the two-sided case. On a $d$-regular bipartite Ramanujan base the same signing produces a Ramanujan $2$-lift of that prescribed base.
Problem

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

spectral discrepancy
polynomial time
Kadison--Singer partitions
Bilu--Linial graph signings
Innovation

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

polynomial-time rounding theorem
Kadison--Singer partitions
Bilu--Linial signing problem
Las Vegas algorithm
spectral discrepancy