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Electronic Colloquium on Computational Complexity

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TR26-219 | 28th September 2026
Olaf Beyersdorff, Lea Kasche, Luc Nicolas Spachmann

Fine-Grained Size-Cost-Capacity for Strong Semantic QBF Proof Systems

We revisit the semantic size-cost-capacity technique (Beyersdorff, Blinkhorn & Hinde, 2019) for proof-size lower bounds in proof systems for quantified Boolean formulas (QBF). While the original technique is only applicable to weak proof systems with bounded capacity, we present a fine-grained generalisation of this technique that allows us to attack ... more >>>


TR26-218 | 28th September 2026
Mrinal Kumar, Ben Lee Volk

A Quadratic Lower Bound on Determinantal Complexity

We prove an $\Omega(n^2)$ lower bound on the determinantal complexity of the power sum polynomial $\sum_{i=1}^n x_i^n$ over the field of complex numbers.

A similar result was claimed in a recent paper of Sheshadri, via an AI-assisted and AI-written proof. Assuming its correctness, this was the first super-linear lower bound ... more >>>


TR26-217 | 28th September 2026
Shubham Bhardwaj, Ramprasad Saptharishi

Hitting Sets for Polynomials with Small Partial Derivative Spaces

We give an explicit hitting set of size $\text{poly}(n,d,r)$ for the class of $n$-variate degree-$d$ polynomials whose partial derivative space is bounded by $r$, over any field $\mathbb{F}$ of characteristic zero. In particular, this yields a polynomial sized hitting set for the class of depth-$3$ powering circuits.

The main ... more >>>



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