Lin Hsin Hsin
Mathematical Intelligence Center

Jun 1, 2016, 10:15 GMT declares Dynamic Surjective Holomorphic Mapping with
Chromatic, Thermal, and Neural Parameters Theorem & Proof








Theorem
          Dynamic Surjective Holomorphic Mapping with
          Chromatic, Thermal, and Neural Parameters


          Let be a vector space (finite- or infinite-dimensional) of functions, defined at every instant T, with cumulative structure:

          N · H²i+1 = Σ H²j,   0 ≤ j ≤ i,   0 ≤ i ≤ N,   0 < N < ∞

          Let T be an unbounded parameter,
          startable and stoppable at any point.

          Let {fT} be a family of holomorphic functions
          fT : D → ℂ, where D is the open unit disk.

          Let N denote the neural structure
          (set of neurons with activation states)
          and R the result space. Define:

          P = Interface(N, R),   P dynamic, infinite

          Then, simultaneously for all T:

          (I) Surjectivity

          fT is surjective and non-injective:

          ∀ y ∈ ℂ, ∃ x ∈ D : fT(x) = y,    |fT−1(y)| = ∞

          (II) Chromaticity

          Each point z(a, b) ∈ D admits 2256 chromaticity assignments under a dynamic, infinite RGB palette

          (III) Temperature

          A temperature field θ(z, T) varies dynamically with Δθ → 0 at every T

          (IV) Determining Parameter
          P determines the result


          Simultaneity Condition

          Parts I–IV hold jointly at every T, for all T.
          The space is T-dependent
          T may start, stop, or resume at any point.   ∎









          Proof