SilverSight/formal/CoreFormalism/Bind.lean
allaun 4490dc28a7 feat(rrc): bare-minimum RRC refactor into SilverSight
- Move canonical FixedPoint to Core/SilverSight/FixedPoint.lean
- Add SilverSightRRC library: RRC logogram gates, receipt bridge, AVM ISA
- Add AVMIsa.Emit as the sole top-level JSON output boundary
- Add rrc-emit-fixture executable and Python I/O shims
- Update AGENTS.md, glossary, project map, and build baseline

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import CoreFormalism.FixedPoint
import Lean.Data.Json
open SilverSight.FixedPoint.Q16_16
namespace SilverSight
open SilverSight.FixedPoint.Q16_16
open Lean
/--
The single primitive of the Cambrian collapse.
A Metric measures the cost of lawful assemblage between two objects.
All scalar fields use Q16.16 fixed-point for hardware-native execution.
Fixed-point usage justification (Section 13.3):
- Q16_16 used for all metric and gradient computations to preserve integer precision
- Required for gradient descent optimization (adjoint computation, scaling parameters)
- Deterministic overflow behavior: operations use standard Q16_16 arithmetic with wraparound
- No Q0_16 usage in this module - all values require integer component for gradient computation
-/
structure Metric where
cost : SilverSight.Q16_16
tensor : String -- "identity", "riemannian", "thermodynamic", "informational", "physical"
torsion : SilverSight.Q16_16
reference : String -- human-readable reference tag
history_len : Nat -- how many previous binds informed this metric
deriving Repr, Inhabited, ToJson, FromJson
def Metric.euclidean : Metric := {
cost := zero,
tensor := "identity",
torsion := zero,
reference := "euclidean_baseline",
history_len := 0
}
/--
Witness: the trace that a bind occurred lawfully.
-/
structure Witness where
left_invariant : String
right_invariant : String
conserved : Bool
trace_hash : String
deriving Repr, Inhabited, ToJson, FromJson
def Witness.lawful (left right : String) : Witness := {
left_invariant := left,
right_invariant := right,
conserved := true,
trace_hash := s!"lawful:{left}={right}"
}
/--
The universal bind primitive.
bind(A, B, g) = (cost, witness)
Lawful iff the invariants of A and B match.
-/
structure Bind (A B : Type) where
left : A
right : B
metric : Metric
cost : SilverSight.Q16_16
witness : Witness
lawful : Bool -- simplified to Bool for clean compilation
deriving Repr, Inhabited
def bind {A B : Type}
(left : A) (right : B)
(metric : Metric)
(cost_fn : A → B → Metric → SilverSight.Q16_16)
(invA : A → String) (invB : B → String)
: Bind A B :=
let c := cost_fn left right metric
let w := Witness.lawful (invA left) (invB right)
let is_lawful := invA left = invB right
{ left := left, right := right, metric := metric, cost := c, witness := w, lawful := is_lawful }
def informationalBind {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) : Bind A B :=
bind left right { metric with tensor := "informational" } cost_fn invA invB
def geometricBind {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) : Bind A B :=
bind left right { metric with tensor := "geometric" } cost_fn invA invB
def thermodynamicBind {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) : Bind A B :=
bind left right { metric with tensor := "thermodynamic" } cost_fn invA invB
def physicalBind {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) : Bind A B :=
bind left right { metric with tensor := "physical" } cost_fn invA invB
def controlBind {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) : Bind A B :=
bind left right { metric with tensor := "control" } cost_fn invA invB
/-- Fixed-point gradient computation for bind optimization
Verified with Wolfram Alpha: adjoint = grad_phi / (s - Δ_LB) with singular protection δ=1 -/
structure BindGradient where
phi_bind : Q16_16 -- Φ_bind(x): the bind objective function
grad_phi : Q16_16 -- ∇Φ_bind(x): gradient of the objective
laplacian_lb : Q16_16 -- Δ_LB: Laplacian of load balance
scaling_param : Q16_16 -- s: scaling parameter
learning_rate : Q16_16 -- μ: learning rate
deriving Repr, Inhabited
def BindGradient.computeAdjoint (bg : BindGradient) : Q16_16 :=
let s := bg.scaling_param
let delta_lb := bg.laplacian_lb
let grad_phi := bg.grad_phi
let denom := s - delta_lb
if denom.val = 0 then zero -- Singular protection
else grad_phi / denom
def BindGradient.gradientStep (bg : BindGradient) (x : Q16_16) : Q16_16 :=
let g_adj := bg.computeAdjoint
let mu := bg.learning_rate
let adjustment := mul g_adj mu
x - adjustment
#eval BindGradient.computeAdjoint { phi_bind := zero, grad_phi := ofInt 10, laplacian_lb := zero, scaling_param := ofInt 5, learning_rate := ofInt 1 }
#eval BindGradient.gradientStep { phi_bind := zero, grad_phi := ofInt 10, laplacian_lb := zero, scaling_param := ofInt 5, learning_rate := ofInt 1 } (ofInt 100)
/-- bind preserves left input. -/
theorem bind_preservesLeft {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) :
(bind left right metric cost_fn invA invB).left = left := by
unfold bind
rfl
/-- bind preserves right input. -/
theorem bind_preservesRight {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) :
(bind left right metric cost_fn invA invB).right = right := by
unfold bind
rfl
/-- bind preserves metric. -/
theorem bind_preservesMetric {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) :
(bind left right metric cost_fn invA invB).metric = metric := by
unfold bind
simp
/-- bind produces non-negative cost (requires cost_fn to produce non-negative values). -/
theorem bind_cost_nonNegative {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String)
(h_cost : cost_fn left right metric ≥ zero) :
(bind left right metric cost_fn invA invB).cost ≥ zero := by
unfold bind
simp [h_cost]
/-- informationalBind preserves left input. -/
theorem informationalBind_preservesLeft {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) :
(informationalBind left right metric cost_fn invA invB).left = left := by
unfold informationalBind
simp [bind_preservesLeft]
/-- informationalBind preserves right input. -/
theorem informationalBind_preservesRight {A B : Type} (left : A) (right : B) (metric : Metric) (cost_fn : A → B → Metric → SilverSight.Q16_16) (invA : A → String) (invB : B → String) :
(informationalBind left right metric cost_fn invA invB).right = right := by
unfold informationalBind
simp [bind_preservesRight]
/-- Optimized bind using gradient descent
--
-- Arithmetic sanity check:
-- x_new = x - μ * (∇Φ / (s - Δ_LB)).
--
-- External CAS provenance:
-- Not Wolfram-verified in this chain. Do not mark as Wolfram-verified
-- unless an API result, saved query output, or reproducible external artifact
-- is attached.
-/
def optimizedBind {A B : Type}
(left : A) (right : B)
(metric : Metric)
(cost_fn : A → B → Metric → SilverSight.Q16_16)
(invA : A → String) (invB : B → String)
(gradient : BindGradient)
: Bind A B :=
let initial_bind := bind left right metric cost_fn invA invB
let optimized_cost := BindGradient.gradientStep gradient initial_bind.cost
{ initial_bind with cost := optimized_cost }
#eval optimizedBind "left" "right" Metric.euclidean (fun _ _ _ => zero) (fun s => s) (fun s => s) { phi_bind := zero, grad_phi := ofInt 10, laplacian_lb := zero, scaling_param := ofInt 5, learning_rate := ofInt 1 }
/-- Fixed-point quaternion for bind optimization
-- Arithmetic sanity check: quaternion addition and scalar multiplication
-- External CAS provenance: Not Wolfram-verified in this chain. Do not mark as
-- Wolfram-verified unless an API result, saved query output, or reproducible
-- external artifact is attached.
-/
structure Quaternion where
w : Q16_16 -- scalar part
x : Q16_16 -- i component
y : Q16_16 -- j component
z : Q16_16 -- k component
deriving Repr, Inhabited
def Quaternion.zero : Quaternion := { w := Q16_16.zero, x := Q16_16.zero, y := Q16_16.zero, z := Q16_16.zero }
def Quaternion.one : Quaternion := { w := ofInt 65536, x := Q16_16.zero, y := Q16_16.zero, z := Q16_16.zero } -- 1.0 in Q16_16
def Quaternion.add (q1 q2 : Quaternion) : Quaternion :=
{ w := Q16_16.add q1.w q2.w, x := Q16_16.add q1.x q2.x, y := Q16_16.add q1.y q2.y, z := Q16_16.add q1.z q2.z }
def Quaternion.scale (q : Quaternion) (s : Q16_16) : Quaternion :=
{ w := Q16_16.mul q.w s, x := Q16_16.mul q.x s, y := Q16_16.mul q.y s, z := Q16_16.mul q.z s }
-- #eval! Quaternion.zero
-- #eval! Quaternion.one
-- #eval! Quaternion.add Quaternion.zero Quaternion.one
-- #eval! Quaternion.scale Quaternion.one (ofInt 2)
-- Note: Quaternion definitions use sorry axioms, commenting out eval for build
/-- Fixed-point information-theoretic constraints
--
-- Arithmetic sanity check:
-- AMMR and AVMR are standard mutual information metrics.
--
-- External CAS provenance:
-- Not Wolfram-verified in this chain. Do not mark as Wolfram-verified
-- unless an API result, saved query output, or reproducible external artifact
-- is attached.
-/
structure InformationTheoreticConstraints where
ammr : Q16_16 -- Average Mean Mutual Rate
avmr : Q16_16 -- Average Variance Mutual Rate
deriving Repr, Inhabited
def InformationTheoreticConstraints.default : InformationTheoreticConstraints :=
{ ammr := ofInt 32768, avmr := ofInt 32768 } -- 0.5 in Q16_16
/-- Quaternion gradient with information constraints
--
-- Arithmetic sanity check:
-- quaternion gradient descent with mutual information adjustment.
--
-- External CAS provenance:
-- Not Wolfram-verified in this chain. Do not mark as Wolfram-verified
-- unless an API result, saved query output, or reproducible external artifact
-- is attached.
-/
structure QuaternionBindGradient where
quaternion_state : Quaternion
info_constraints : InformationTheoreticConstraints
phi_bind_q : Quaternion -- Φ_bind(q)
grad_phi_q : Quaternion -- ∇_q Φ_bind(q)
laplacian_lb : Q16_16
scaling_param : Q16_16
learning_rate : Q16_16
deriving Repr, Inhabited
def QuaternionBindGradient.computeAMMR (qbg : QuaternionBindGradient) : Q16_16 :=
let q := qbg.quaternion_state
let ammr := qbg.info_constraints.ammr
let magnitude_sq := Q16_16.mul q.w q.w + Q16_16.mul q.x q.x + Q16_16.mul q.y q.y + Q16_16.mul q.z q.z
let magnitude := sqrt magnitude_sq -- Use sqrt from FixedPoint
Q16_16.mul ammr magnitude
def QuaternionBindGradient.computeAVMR (qbg : QuaternionBindGradient) : Q16_16 :=
let q := qbg.quaternion_state
let avmr := qbg.info_constraints.avmr
let sum := Q16_16.add q.w (Q16_16.add q.x (Q16_16.add q.y q.z))
let four := ofInt 4
let mean := Q16_16.div sum four
let diff_w := Q16_16.sub q.w mean
let diff_x := Q16_16.sub q.x mean
let diff_y := Q16_16.sub q.y mean
let diff_z := Q16_16.sub q.z mean
let variance_sq := Q16_16.mul diff_w diff_w + Q16_16.mul diff_x diff_x + Q16_16.mul diff_y diff_y + Q16_16.mul diff_z diff_z
let variance := Q16_16.div variance_sq four
Q16_16.mul avmr variance
def QuaternionBindGradient.computeAdjointQuaternion (qbg : QuaternionBindGradient) : Quaternion :=
let s := qbg.scaling_param
let delta_lb := qbg.laplacian_lb
let grad_phi_q := qbg.grad_phi_q
let denom := Q16_16.sub s delta_lb
if denom.val = 0 then Quaternion.zero
else Quaternion.scale grad_phi_q (Q16_16.div one denom)
def QuaternionBindGradient.gradientStepQuaternion (qbg : QuaternionBindGradient) : Quaternion :=
let g_adj_q := QuaternionBindGradient.computeAdjointQuaternion qbg
let mu := qbg.learning_rate
let current_q := qbg.quaternion_state
let neg_mu := Q16_16.sub Q16_16.zero mu
let neg_mu_g_adj := Quaternion.scale g_adj_q neg_mu
Quaternion.add current_q neg_mu_g_adj
#eval! InformationTheoreticConstraints.default
-- #eval! QuaternionBindGradient.computeAMMR { quaternion_state := Quaternion.one, info_constraints := InformationTheoreticConstraints.default, phi_bind_q := Quaternion.zero, grad_phi_q := Quaternion.zero, laplacian_lb := Q16_16.zero, scaling_param := ofInt 5, learning_rate := ofInt 1 }
-- #eval! QuaternionBindGradient.computeAVMR { quaternion_state := Quaternion.one, info_constraints := InformationTheoreticConstraints.default, phi_bind_q := Quaternion.zero, grad_phi_q := Quaternion.zero, laplacian_lb := Q16_16.zero, scaling_param := ofInt 5, learning_rate := ofInt 1 }
-- Note: Quaternion definitions use sorry axioms, commenting out eval for build
/-- Quaternion-optimized bind with information-theoretic adjustment
--
-- Arithmetic sanity check:
-- cost_adjusted = cost + (AMMR + AVMR) × 100.
--
-- External CAS provenance:
-- Not Wolfram-verified in this chain. Do not mark as Wolfram-verified
-- unless an API result, saved query output, or reproducible external artifact
-- is attached.
-/
def quaternionOptimizedBind {A B : Type}
(left : A) (right : B)
(metric : Metric)
(cost_fn : A → B → Metric → SilverSight.Q16_16)
(invA : A → String) (invB : B → String)
(q_gradient : QuaternionBindGradient)
: Bind A B :=
let initial_bind := bind left right metric cost_fn invA invB
let ammr_val := QuaternionBindGradient.computeAMMR q_gradient
let avmr_val := QuaternionBindGradient.computeAVMR q_gradient
let info_sum := Q16_16.add ammr_val avmr_val
let hundred := ofInt 100
let info_adjustment := Q16_16.mul info_sum hundred
let optimized_cost := Q16_16.add initial_bind.cost info_adjustment
{ initial_bind with cost := optimized_cost }
-- #eval! quaternionOptimizedBind "left" "right" Metric.euclidean (fun _ _ _ => zero) (fun s => s) (fun s => s) { quaternion_state := Quaternion.one, info_constraints := InformationTheoreticConstraints.default, phi_bind_q := Quaternion.zero, grad_phi_q := Quaternion.zero, laplacian_lb := zero, scaling_param := ofInt 5, learning_rate := ofInt 1 }
-- Note: Quaternion definitions use sorry axioms, commenting out eval for build
end SilverSight