Proving super-linear lower bounds on the size of circuits computing explicit linear functions $A:{\mathbb {F}}^n \to {\mathbb {F}}^n$ is a fundamental long-standing open problem in circuit complexity. We focus on the case where ${\mathbb {F}}$ is a finite field. The circuit can be either a Boolean circuit or an arithmetic ... more >>>

Res($\oplus$) is the simplest fragment of $\text{AC}^0[2]\text{-Frege}$ for which no super-polynomial lower bounds on the size of proofs are known. Bhattacharya and Chattopadhyay [BC25] recently proved lower bounds of the form $\exp(\tilde\Omega(N^{\varepsilon}))$ on the size of Res($\oplus$) proofs whose depth is upper bounded by $O(N^{2 - \varepsilon})$, where $N$ is ... more >>>

We prove that relative to a random oracle answering $O(\log n)$-bit queries, there exists a function computable in $O(n)$ time by a random-access machine (RAM) but requiring $n^2/polylog(n)$ time by any multitape Turing machine. This provides strong evidence that simulating RAMs on multitape Turing machines inherently incurs a nearly quadratic ... more >>>