Toward P vs NP: An Observer-Theoretic Separation via SPDP Rank and a ZFC-Equivalent Foundation within the N-Frame Model
Darren J. Edwards
TL;DR
The paper develops an observer-centered, ZFC-friendly framework to separate P from NP by encoding polynomial-time computations into SPDP (Shifted Partial Derivative) polynomials and measuring their complexity with Contextual Entanglement Width (CEW). A deterministic, radius-1 compiler maps DTMs to local SoS polynomials with polylog CEW, enabling a Width→Rank bound that yields polynomial SPDP rank for P-time computations, while explicit NP witnesses (e.g., Ramanujan–Tseitin expanders) force exponential SPDP rank. An instance-uniform extraction map (the Global God-Move) relates P-compiled polynomials to NP instances under a fixed gauge, producing a contradiction if P=NP. The work unifies algebraic (SPDP) and epistemic (CEW) perspectives through the N-Frame observer model, and argues non-relativizing, non-natural-proof barriers are circumvented by the structure of the construction. The result is an unconditional, machine-checkable blueprint (with Lean formalization planned) for a complete P≠NP separation within a coherent, observer-centric framework that connects computational, algebraic, and epistemic notions of hardness.
Abstract
We present a self-contained separation framework for P vs NP developed entirely within ZFC. The approach consists of: (i) a deterministic, radius-1 compilation from uniform polynomial-time Turing computation to local sum-of-squares (SoS) polynomials with polylogarithmic contextual entanglement width (CEW); (ii) a formal Width-to-Rank upper bound for the resulting SPDP matrices at matching parameters; (iii) an NP-side identity-minor lower bound in the same encoding; and (iv) a rank-monotone, instance-uniform extraction map from the compiled P-side polynomials to the NP family. Together these yield a contradiction under the assumption P = NP, establishing a separation. We develop a correspondence between CEW, viewed as a quantitative measure of computational contextuality, and SPDP rank, yielding a unified criterion for complexity separation. We prove that bounded-CEW observers correspond to polynomial-rank computations (the class P), while unbounded CEW characterizes the class NP. This implies that exponential SPDP rank for #3SAT and related hard families forces P != NP within the standard framework of complexity theory. Key technical components include: (1) constructive lower bounds on SPDP rank via Ramanujan-Tseitin expander families; (2) a non-circular reduction from Turing-machine computation to low-rank polynomial evaluation; (3) a codimension-collapse lemma ensuring that rank amplification cannot occur within polynomial resources; and (4) proofs of barrier immunity against relativization, natural proofs, and algebrization. The result is a complete ZFC proof architecture whose primitives and compositions are fully derived, with community verification and machine-checked formalization left as future work.
