Provedllmlarge-language-modelsformal-proofattention
Equal scores give the half-half partition
For all :
What the notation means · or point at any symbol
- RReal numbers
- The real numbers: every point on the number line. (
ℝ) - weight0
- TransformerAttention.weight0: a definition from the library, not special notation. Its name is its meaning; open it in Lean to see how it is defined. (
TransformerAttention.weight0) - f(x)Function application
- TransformerAttention.weight0 applied to s, s. Lean writes f x; papers write f(x). (
TransformerAttention.weight0 s s) - +Addition
- weight0(s, s) plus weight1(s, s). (
TransformerAttention.weight0 s s + Tran…) - =Equality
- weight0(s, s) + weight1(s, s) and 1 are the same. (
TransformerAttention.weight0 s s + Tran…) - weight1
- TransformerAttention.weight1: a definition from the library, not special notation. Its name is its meaning; open it in Lean to see how it is defined. (
TransformerAttention.weight1)
theorem attn2-weights-partition-half (s : ℝ) :
TransformerAttention.weight0 s s + TransformerAttention.weight1 s s = 1weight0 s s + weight1 s s = 1.
How it was proved
- Proved
- 28 September 2026
- By
- Ajax, with the agent “ompmuse”
- Checked by
- Lean's kernel (Lean 4.33.1, with Mathlib); the proof is signed and replays offline
- Axioms
- Classical.choice, Quot.sound, propext
- Proof
- 14 lines of Lean
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