From Scalar Rigidity to System Solutions and Abstract Prime Systems
Authors: Walid Oukil
Abstract: We develop a unified framework for the Prime Rigidity Theory (PR), integrating three pillars: a scalar rigidity theorem for bounded solutions of non-homogeneous complex linear differential equations, its extension to system solutions in Banach spaces, and the construction of a functional calculus based on abstract prime systems. The scalar theorem states that under a Rotation Number Hypothesis and a specific rigidity inequality, the boundedness of two symmetric solutions forces a structural asymmetry, preventing simultaneous vanishing of a functional $μ_η$ at conjugate parameters. This result is refined using a holomorphic Wronskian that yields a family of oscillatory rigidity profiles, and the whole programme is lifted to a system setting where the complex parameter is replaced by a bounded normal operator. Finally, we introduce abstract prime systems and show that for a piecewise linear profile derived from an arbitrary factorisation semi-group, the functional $μ_η$ factorises into a system Euler product. This provides a structural interpretation of the rigidity inequality and a direct link between the distribution of abstract primes and the asymmetry of bounded solutions. The article presents the full scalar proofs, the holomorphic Wronskian, the system generalisation, and the bridge to abstract prime systems in a self-contained manner, concluding with a philosophical perspective on the possible role of the rigidity law as a consistency index for formal theories.
Explore the paper tree
Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant
Look for similar papers (in beta version)
By clicking on the button above, our algorithm will scan all papers in our database to find the closest based on the contents of the full papers and not just on metadata. Please note that it only works for papers that we have generated summaries for and you can rerun it from time to time to get a more accurate result while our database grows.