Extreme Sparsity Cannot Prevent Infinite Arithmetic Explosion

Even vanishingly thin sampling eventually triggers runaway sums.

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The proof applies uniformly to every positive integer step size, no matter how large.

As the step size d increases, the corresponding arithmetic progression becomes increasingly sparse. Intuition suggests that fewer sampled terms might limit cumulative imbalance. The theorem proves this intuition false. Regardless of sparsity, the infinite length of the subsequence guarantees eventual unbounded growth. Sparse paths still extend without end. Infinite repetition compensates for low density. Arithmetic explosion does not require frequent sampling.

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The scale contrast is dramatic: density shrinks toward zero while sums grow without bound. This combination defies everyday reasoning. Sparse sampling feels harmless, yet infinity magnifies even rare contributions. Given enough steps, small biases accumulate into enormous totals. Arithmetic patience defeats dilution.

This lesson generalizes to other infinite systems. Frequency alone does not control long-term accumulation. Structural repetition across infinite horizons ensures escalation. The Erdős Discrepancy theorem demonstrates that sparsity cannot neutralize divergence. Infinite arithmetic pathways always contain explosive potential.

Source

Annals of Mathematics

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