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Electronic Colloquium on Computational Complexity

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TR26-133 | 7th August 2026
Michal Garlik, Svyatoslav Gryaznov, Hanlin Ren, Iddo Tzameret

The Weak Rank Principle: Lower Bounds and Applications

Given two symbolic matrices $X$ and $Y$ of dimensions $m\times n$ and $n\times m$, respectively, the *rank principle* states that when $m = n+1$ and $A$ is a scalar matrix of rank $n+1$, the equation $XY = A$ is unsatisfiable. When $m$ is arbitrarily larger than $n$ and $A$ has ... more >>>


TR26-132 | 4th August 2026
Arpon Basu, Joshua Brakensiek, Yeyuan Chen, Aaron (Louie) Putterman, Victor Reis, Zihan Zhang

Optimal Sparsifiers for Minkowski Sums and Sums of Seminorms

We extend the recent work of Reis and Rothvoss on sparsifying sums of $\ell_1$ norms to the more general task of sparsifying (Minkowski) sums of centrally symmetric, convex sets. As our main result, we prove that for any $\varepsilon > 0$ and centrally symmetric, convex sets $C_1, \ldots, C_m\subseteq\mathbb R^n$ ... more >>>


TR26-131 | 27th July 2026
Benny Applebaum

From Nondeterministic to Modular Branching Programs, Uniformly and in Logspace

Revisions: 1

A branching program is a labeled directed graph that, on each input $x$, induces an $s$-$t$ connectivity instance. Nondeterministic branching programs (NBPs) accept an input if there exists an accepting path, whereas parity branching programs ($\oplus$BPs) accept if the number of accepting paths is odd. Wigderson (Structure in Complexity Theory ... more >>>



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