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A nearly-$4\log n$ depth lower bound for formulas with restriction on top

Hao Wu

TL;DR

This work advances the quest for explicit super-logarithmic circuit depth by proving a nearly-$4\log n$ lower bound for formulas with restricted top layers. It introduces an improved XOR composition theorem using a simplified double-measurement argument based on a well-mixed set of functions, and shows that for a broad range $0<\alpha<2-o(1)$, the XOR composition $f\boxplus g$ cannot be computed by an AND of $2^{\alpha n}$ formulas of size at most $2^{(1-\alpha/2-o(1))n}$. Consequently, a modified Andreev function $\mathbf{Andr}'$ is not computable by any circuit of depth $(4-o(1))\log n$ with the top $2-o(1)\log n$ layers restricted to AND (or OR) gates. The results push the parameter range toward optimality and simplify the foundational techniques, while highlighting open directions for top-AC^0 restrictions and depth-2 top layers. These findings tighten the landscape around KRW-type decompositions and deepen our understanding of how top-layer restrictions influence depth lower bounds.

Abstract

One of the major open problems in complexity theory is to demonstrate an explicit function which requires super logarithmic depth, a.k.a, the $\mathbf{P}$ versus $\mathbf{NC^1}$ problem. The current best depth lower bound is $(3-o(1))\cdot \log n$, and it is widely open how to prove a super-$3\log n$ depth lower bound. Recently Mihajlin and Sofronova (CCC'22) show if considering formulas with restriction on top, we can break the $3\log n$ barrier. Formally, they prove there exist two functions $f:\{0,1\}^n \rightarrow \{0,1\},g:\{0,1\}^n \rightarrow \{0,1\}^n$, such that for any constant $0<α<0.4$ and constant $0<ε<α/2$, their XOR composition $f(g(x)\oplus y)$ is not computable by an AND of $2^{(α-ε)n}$ formulas of size at most $2^{(1-α/2-ε)n}$. This implies a modified version of Andreev function is not computable by any circuit of depth $(3.2-ε)\log n$ with the restriction that top $0.4-ε$ layers only consist of AND gates for any small constant $ε>0$. They ask whether the parameter $α$ can be push up to nearly $1$ thus implying a nearly-$3.5\log n$ depth lower bound. In this paper, we provide a stronger answer to their question. We show there exist two functions $f:\{0,1\}^n \rightarrow \{0,1\},g:\{0,1\}^n \rightarrow \{0,1\}^n$, such that for any constant $0<α<2-o(1)$, their XOR composition $f(g(x)\oplus y)$ is not computable by an AND of $2^{αn}$ formulas of size at most $2^{(1-α/2-o(1))n}$. This implies a $(4-o(1))\log n$ depth lower bound with the restriction that top $2-o(1)$ layers only consist of AND gates. We prove it by observing that one crucial component in Mihajlin and Sofronova's work, called the well-mixed set of functions, can be significantly simplified thus improved. Then with this observation and a more careful analysis, we obtain these nearly tight results.

A nearly-$4\log n$ depth lower bound for formulas with restriction on top

TL;DR

This work advances the quest for explicit super-logarithmic circuit depth by proving a nearly- lower bound for formulas with restricted top layers. It introduces an improved XOR composition theorem using a simplified double-measurement argument based on a well-mixed set of functions, and shows that for a broad range , the XOR composition cannot be computed by an AND of formulas of size at most . Consequently, a modified Andreev function is not computable by any circuit of depth with the top layers restricted to AND (or OR) gates. The results push the parameter range toward optimality and simplify the foundational techniques, while highlighting open directions for top-AC^0 restrictions and depth-2 top layers. These findings tighten the landscape around KRW-type decompositions and deepen our understanding of how top-layer restrictions influence depth lower bounds.

Abstract

One of the major open problems in complexity theory is to demonstrate an explicit function which requires super logarithmic depth, a.k.a, the versus problem. The current best depth lower bound is , and it is widely open how to prove a super- depth lower bound. Recently Mihajlin and Sofronova (CCC'22) show if considering formulas with restriction on top, we can break the barrier. Formally, they prove there exist two functions , such that for any constant and constant , their XOR composition is not computable by an AND of formulas of size at most . This implies a modified version of Andreev function is not computable by any circuit of depth with the restriction that top layers only consist of AND gates for any small constant . They ask whether the parameter can be push up to nearly thus implying a nearly- depth lower bound. In this paper, we provide a stronger answer to their question. We show there exist two functions , such that for any constant , their XOR composition is not computable by an AND of formulas of size at most . This implies a depth lower bound with the restriction that top layers only consist of AND gates. We prove it by observing that one crucial component in Mihajlin and Sofronova's work, called the well-mixed set of functions, can be significantly simplified thus improved. Then with this observation and a more careful analysis, we obtain these nearly tight results.
Paper Structure (11 sections, 11 theorems, 17 equations)

This paper contains 11 sections, 11 theorems, 17 equations.

Key Result

Theorem 1.3

If we choose a function $f:\{0,1\}^n \rightarrow \{0,1\}$ randomly, with probability $1-o(1)$, there exists a function $g:\{0,1\}^n \rightarrow \{0,1\}^n$, such that for any constant $0<\alpha<0.4$ and constant $0<\epsilon<\alpha/2$, their XOR composition $f\boxplus g$ is not computable by an AND (o

Theorems & Definitions (28)

  • Conjecture 1.1
  • Conjecture 1.2
  • Theorem 1.3: DBLP:conf/coco/MihajlinS22
  • Theorem 1.4: DBLP:conf/coco/MihajlinS22
  • Theorem 1.6
  • Theorem 1.7
  • Definition 2.1: De Morgan formula
  • Definition 2.2
  • Definition 2.4: XOR composition of two functions, DBLP:conf/coco/MihajlinS21
  • Definition 2.5: DBLP:conf/coco/MihajlinS22
  • ...and 18 more