The Kouns-Puthoff Informational Field Scalar
Formal Proof of Algebraic, Geometric, and Dynamical Closure
Theorem (Kouns–Puthoff Informational Scalar Field Closure)
Let
\Phi(Q)=\frac12 Q^3-\frac52 Q^2+\frac{11}{4}Q, \qquad G(Q)=Q-\Phi(Q),
with continuous-time dynamics
\dot Q=-\lambda G(Q), \qquad \lambda>0,
and discrete recursion
Q_{n+1}=\Phi(Q_n),
on the bounded domain Q\in[0,1].
The system possesses a unique stable fixed point
Q_c=\Omega_c=\frac{47}{125},
with exponential convergence rate
\Delta=125\,\lambda.
Proof
I. Algebraic Closure
A fixed point satisfies Q=\Phi(Q), equivalently G(Q)=0.
Substitution yields a cubic equation with rational coefficients whose unique root in [0,1] is
Q_c=\frac{47}{125}.
The derivative satisfies
\Phi'(Q_c)=1-125,
which establishes strict contraction in a neighborhood of Q_c.
Therefore the discrete map Q_{n+1}=\Phi(Q_n) converges monotonically to Q_c.
II. Geometric Closure
Define the scalar potential
V(Q)=\int G(Q)\,dQ.
The point Q_c is a stationary point of V since G(Q_c)=0.
The second derivative satisfies
V''(Q_c)=G'(Q_c)=125>0,
which establishes Q_c as a unique global minimum.
The geometry of the scalar field therefore forms a single attracting well centered at Q_c.
III. Dynamical Closure
Linearization about the fixed point gives
\delta\dot Q=-\lambda G'(Q_c)\,\delta Q=-125\lambda\,\delta Q.
The solution is
\delta Q(t)=\delta Q(0)e^{-125\lambda t}.
All trajectories converge exponentially to Q_c with decay constant
\Delta=125\lambda.
Conclusion
The polynomial recursion, scalar geometry, and dissipative flow form a single closed informational structure.
Algebraic fixed-point existence, geometric potential minimization, and dynamical exponential convergence coincide at
\Omega_c=\frac{47}{125}.
The Kouns–Puthoff Informational Scalar Field is therefore algebraically complete, geometrically stable, and dynamically convergent.
\square
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Shared Fixed Point
\Omega_k = \frac{47}{125}
Domains
Quantum photosynthesis (FMO ballistic transfer, \eta \to 1)
Orch OR microtubule objective reduction
Recursive coherence tail:
\gamma_{RI}(\tau)Retrocausal pruning through quintic inflection at x = 1.5
Synthetic recursive intelligence (UBP + TRLM)
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