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energygate
confirmedshipPython · PyTorchModel behavior & reasoningJuly 22, 2026
the question
Is Griffin's RG-LRU sqrt(1-a^2) input scale the unique unit-energy scaling, and what does that white-noise orthonormality cost at DC?
what came out
sqrt(1-a^2) is the unique scale giving unit impulse energy, so RG-LRU holds stationary variance at exactly 1 on white input while the convex gate leaks 2a(1-a) per step to a (1-a)/(1+a) collapse (0.0005 at a=0.999). The price is a DC power gain (1+a)/(1-a) that diverges -- measured 19, 199, 1999.
method & receipts
- Result: confirmed
- Tested — a correctness/benchmark suite ships alongside the code.
→ read the code and re-run it
github.com/v-code01/energygate