AI-reported binary normality of a localized-logarithm value
- Mathematics
The constant ξ=Σ_{a,c≥0}1/(2^a3^c·2^{2^a3^c}) is normal in base two: every finite binary word has its expected limiting frequency when overlapping occurrences are counted.
AI-reported binary normality of a localized-logarithm value
- Mathematics
The constant ξ=Σ_{a,c≥0}1/(2^a3^c·2^{2^a3^c}) is normal in base two: every finite binary word has its expected limiting frequency when overlapping occurrences are counted.
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Understand the problem ↓Understanding the problem
Read the background
The constant ξ=Σ_{a,c≥0}1/(2^a3^c·2^{2^a3^c}) is normal in base two: every finite binary word has its expected limiting frequency when overlapping occurrences are counted.
Why it matters
If correct, establishes normality for a distinct mixed-prime localized-logarithm value.
What counts as progress
Is this mixed-prime localized-logarithm value normal in base two?
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