Conditional shortest-path versus two-path threshold tradeoff
OpenQAlgorithms.Papers.Independent.Intakethird100.P45.greedyTradeoffThere exists a finite square-grid network with distinct terminals and a successful external subgraph with the following property. A shortest – path leaves no further – path when its edges are removed, whereas contains two edge-disjoint – paths that are both longer than . Write their edge lengths as . There exists a threshold such that the two conditional expected yields satisfy
These are yields conditioned on the same external-success instance, before independent BSM outcomes. Each selected memory is used once, and terminals retain their halves. The result explains why shortest-path greedy need not maximize the one-slot conditional expected rate.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P45
namespace QAlgorithms.Papers.Independent.Intakethird100.P45
open scoped BigOperators
noncomputable section
/-- PDF p.5: an external-success instance can favor either a shortest single
path or two longer disjoint paths, depending on `q`. The shortest choice
leaves no further path. The comparison is conditional on the same external
instance and thus has no external `p^k` factors. No witness coordinates are
specified in the source; the assertion is existential. -/
theorem greedyTradeoff :
∃ (N : ℕ) (G : GridNetwork N) (a b : Fin N) (H : Finset (Edge N))
(r s t : PortTrailEncoding N) (theta : ℝ),
a ≠ b ∧ H ⊆ physicalEdges G ∧
r ∈ candidateRoutes H a b ∧ s ∈ candidateRoutes H a b ∧
t ∈ candidateRoutes H a b ∧
Function.Injective r.2 ∧ Function.Injective s.2 ∧ Function.Injective t.2 ∧
(∀ u ∈ candidateRoutes H a b, routeLength r ≤ routeLength u) ∧
candidateRoutes (H \ routeEdges r) a b = ∅ ∧
Disjoint (routeEdges s) (routeEdges t) ∧
routeLength r < routeLength s ∧ routeLength r < routeLength t ∧
0 < theta ∧ theta < 1 ∧
(∀ q : ℝ, 0 < q → q < theta →
q ^ s.1.val + q ^ t.1.val < q ^ r.1.val) ∧
(∀ q : ℝ, theta < q → q ≤ 1 →
q ^ r.1.val < q ^ s.1.val + q ^ t.1.val) := by sorry
end
end QAlgorithms.Papers.Independent.Intakethird100.P45
Read-back
What the Lean code literally says, in plain math · gpt-6.1-sol
There exist a natural number , an injective placement of the vertices defining a grid network , distinct vertices , a finite edge set , three encoded routes , and a real number with the following properties. The set is contained in the physical edge set consisting of pairs with whose positions have Manhattan distance . Each route has a length and a vertex sequence starting at and ending at , with distinct canonical consecutive edge pairs belonging to and with no intermediate vertex equal to either endpoint; additionally, each of these three entire vertex sequences is injective. Write for its set of canonical consecutive edge pairs. Among all encoded routes satisfying the endpoint, distinct-edge, edge-membership, and intermediate-vertex conditions in —without requiring those other routes to have injective vertex sequences— has minimum length. After removing from , there is no encoded route satisfying those same admissibility conditions from to . Furthermore, , , , and . For every real with ,
and for every real with ,
The minimum-length condition does not require to be the unique shortest route, and no comparison is asserted at or . The distinct endpoints ensure these witnesses cannot have or .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.