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LeanPool.ScottMeasurement.LinearInequalities.Definitions

Scott's finite systems of linear inequalities #

Definitions corresponding to §1 of Scott (1964), pp. 233–237.

A set is symmetric when it is closed under negation.

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    N is realized on X by a real linear functional.

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      Scott's notation x ≻ 0: positive, but its negative is not positive.

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        Vectors declared both nonnegative and nonpositive.

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          Condition (1): every vector has one of the two weak signs.

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            Geometric form of Scott's condition (2).

            No convex combination of strictly positive vectors belongs to the linear span of vectors carrying both weak signs. For finite symmetric systems this is equivalent to Scott's positive-coefficient cancellation condition.

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              Scott's literal positive-weight finite-sequence condition (2). Sequences are indexed by Fin (n + 1), making nonemptiness explicit.

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                Scott's literal unweighted finite-sequence condition (4).

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                  Positive natural-multiplicity version, intermediate between rational weights and literal repetition.

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                    A vector in S → ℝ has rational coordinates.

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                      Realizability of a relation by comparison of functional values.

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                        Condition (5): completeness on Y.

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                          Strictly positive differences associated to a relation.

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                            Indifferent differences associated to a relation.

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                              Geometric form of Scott's equal-sums cancellation condition (6).

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                                Scott's literal paired equal-sums condition (6).

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                                  Scott's three axioms (i)–(iii) for a strictly monotonic relation.

                                  • complete ⦃x : L⦄ : x ∈ Z → ∀ ⦃y : L⦄, y ∈ Z → R x y ∨ R y x
                                  • add ⦃x₀ y₀ x₁ y₁ : L⦄ : x₀ ∈ Z → y₀ ∈ Z → x₁ ∈ Z → y₁ ∈ Z → R x₀ y₀ → R x₁ y₁ → R (x₀ + x₁) (y₀ + y₁)
                                  • cancel ⦃x₀ y₀ x₁ y₁ : L⦄ : x₀ ∈ Z → y₀ ∈ Z → x₁ ∈ Z → y₁ ∈ Z → x₀ + x₁ = y₀ + y₁ → R x₁ y₁ → R y₀ x₀
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                                    def Scott1964.MeasurementStructures.LinearInequalities.ExtendsOn {L : Type u_1} (Y Z : Set L) (R Rplus : L → L → Prop) :

                                    Rplus extends R from Y to Z.

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