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same_fixed_point

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g and h, defined as the J-cost and its log-ratio approximation in logarithmic coordinates, both vanish at the origin. Researchers establishing the shared fixed point for J-cost convexity in the ALEXIS closed-loop control setting would cite this identity. The proof is a direct term-mode conjunction of the separate zero evaluations for g and h.

claimLet $g(t) := J(e^t)$ where $J$ is the J-cost function, and let $h(t)$ be the log-ratio cost. Then $g(0) = 0$ and $h(0) = 0$.

background

The module proves structural properties of the J-cost in log space as described in the ALEXIS internal note. Here g is the composition g(t) = J(e^t) and h is the quadratic log-ratio approximation, both required to share the fixed point at t = 0 corresponding to x = 1. Upstream g_at_zero states that g(0) = J(e^0) = J(1) = 0, while h_at_zero follows by direct simplification of the definition of h.

proof idea

Term-mode proof that directly pairs the two zero theorems via the constructor for conjunction.

why it matters in Recognition Science

This theorem supplies the shared zero property required by the downstream definition jCostLogSpaceCert, which bundles the zero, evenness, and positivity facts for both g and h. It completes one step of the structural identity showing that J-cost and the log-ratio (1/2)(ln x)^2 share the fixed point at x = 1, the same symmetry J(x) = J(x^{-1}), and the same sign pattern, as stated in the module doc-comment.

scope and limits

formal statement (Lean)

  73theorem same_fixed_point : g 0 = 0 ∧ h 0 = 0 := ⟨g_at_zero, h_at_zero⟩

proof body

Term-mode proof.

  74
  75/-- Both g and h are even functions. -/

used by (1)

From the project-wide theorem graph. These declarations reference this one in their body.

depends on (3)

Lean names referenced from this declaration's body.