This analysis explores how sampling rates influence structural appearances in continuous processes, suggesting measurement limits affect observations.
The Topology of Aliasing examines how apparent multiplicity emerges from temporal undersampling of continuous processes. When measurement resolution increases, discrete points collapse into continuous structure; when resolution decreases, continuous structure is reconstructed as discrete points. The paper shows that observed structure depends on sampling rate relative to process rate, a constraint imposed by measurement theory. The analysis proceeds from discrete sampling and Shannon-Nyquist constraints through resolution-dependent appearance and its logical consequences. Undersampling produces discontinuous appearances, while oversampling produces apparent stasis. These effects arise from measurement limits and form a continuous spectrum governed by sampling density.
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Jamie L. Thomas (2026) studied this question.
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