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January 24, 20260 citationsOpen Access

Event-State Theory VIII: Mathematical Derivation of Pre-Causal Resonance

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TWTorben Wille

Key Points

  • This work aims to provide a formal mathematical derivation of pre-causal resonance (PCR) within the framework of Event-State Theory.
  • Developed a mathematical model of the vacuum as a scalar field on a discrete causal timeline.
  • Derived the PCR signal's characteristic shape from the discrete Euler-Lagrange equation.
  • Utilized future boundary conditions to ensure accuracy in predictions.
  • Confirmed that the PCR signal follows an exponential ramp, a necessary solution to the cost function.
  • Demonstrated PCR as a core prediction of the Path of Causal Least Resistance.
  • Established a concrete mathematical framework for experimental tests using high-energy collider data.

Abstract

Abstract Event-State Theory (EST) makes a unique, falsifiable prediction: Pre-Causal Resonance (PCR), the existence of correlated vacuum fluctuations prior to a high-energy event. Previous work demonstrated this effect computationally. This paper provides the formal mathematical derivation. We show that the characteristic exponential ramp of the PCR signal is not a numerical artifact, but the necessary and unique solution to the discrete Euler-Lagrange equation for the EST cost function under a future boundary condition. By modeling the vacuum as a scalar field on a discrete causal timeline, we derive the exact shape of the precursor signal (e^mt). This establishes PCR as a core prediction of the Path of Causal Least Resistance and provides a concrete mathematical target for experimental verification in high-energy collider data. Significance: This derivation transforms the concept of 'retro-causal' influence from a metaphysical speculation into a rigorous, testable wave equation derived from the principle of least action. Status: Code for the numerical verification of this derivation is available in the linked GitHub repository.

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Cite This Study

Torben Wille (2026) studied this question.

synapsesocial.com/papers/69746126bb9d90c67120b0fahttps://doi.org/10.5281/zenodo.18336220
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