Add standalone numerical verification of all closed forms
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@@ -64,6 +64,16 @@ python experiments/make_figures.py # rebuilds the figure PDFs from data/
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Each study script is self-contained and writes its JSON into
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`experiments/data/`.
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## Independent verification
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`experiments/verification/math_verify.py` re-derives every closed form and
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inequality in the manuscript with standalone numpy code (no experiment code
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reused): the relevance identity, the mutual-information correlation, the
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subspace ceiling, the LMMSE receiver against an empirical Wiener solution
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(0.1% MSE agreement; the blind form matches the OFDMA cosine to machine
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precision), and the surrogate bound used in the appendix (uniform constant
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0.97). Results: `experiments/verification/math_verify.json`.
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## Citation and license
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To be completed upon acceptance.
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