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April 21, 20260 citationsOpen Access

Causal Priority Theory part-7: On Event Partition Dependence, Coarse-Graining, and the Stable Order of Derived Time

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KMKazuyoshi Maezawa

Key Points

  • This work explores how the ordering of derived time is influenced by the observer's event partitioning methods.
  • Introduces the concept of Event Partition Dependence in Causal Priority Theory.
  • Analyzes the conditions under which time order remains stable while observing information loss.
  • Extends previous theoretical frameworks established in Episodes 0–6.
  • Demonstrates that time flow is influenced by how events are observed.
  • Identifies specific conditions where time order remains stable despite coarse-graining.
  • Proves the preservation of the arrow of time under uniform conditions, irrespective of event partition.

Abstract

This paper formulates "Event Partition Dependence" in Causal Priority Theory (CPT)—the principle that the flow of derived time depends on how an observer partitions events. • Partition Dependence: Formalizes time as a quantity dependent on the resolution of observation. • Stability of Order: Identifies the physical conditions under which the time order remains stable despite information loss (coarse-graining). • Conclusion: Proves that the "arrow of time" is robustly preserved under specific uniformity conditions, regardless of the partition. This work extends the unified framework (Episodes 0–6) to address the hierarchical nature of physical observation.

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Cite This Study

Kazuyoshi Maezawa (2026) studied this question.

synapsesocial.com/papers/69e713fdcb99343efc98d565https://doi.org/10.5281/zenodo.19646876
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