While this submission is a draft, it cannot be used by other submissions.

Combined column and row mode exposure

Lax342547.CombinedSpans · concepts/Lax342547/CombinedSpans.lean · lax-342547

proven

Loading review…

Sign in with ORCID

Community review

Flags

Each flag is tied to a public ORCID identity and explains why this concept may be incorrect.

No flags have been submitted.

    Community review

    Flag this concept

    State precisely what appears incorrect. This explanation will be public under your ORCID name.

    No source line selected.

    Natural Language Statement

    Lemma

    Products of the two mode spaces have additive dimensions, gains, and deficits, allowing one greedy exposed set to control both modes.

    Concept map
    11 concepts
    100%
    Proven claimThis conceptRelated conceptA → B: B builds on ADescendants are omitted for concepts with more than 10 descendants.
    Evidence

    This concept declares 5 statements. Each proof establishes one of them relative to its assumptions.

    3 product_space_dimension proven

    Lean source view on GitHub

    1import Lax342547.ActualDeficits
    2import Mathlib.LinearAlgebra.Prod
    3
    4/-!
    5---
    6title: Combined column and row mode exposure
    7type: lemma
    8---
    9Products of the two mode spaces have additive dimensions, gains, and deficits, allowing one greedy exposed set to control both modes.
    10-/
    11
    12namespace Lax342547.CombinedSpans
    13
    14open Lax342547.GreedySpans Lax342547.GreedyTails
    15open scoped BigOperators
    16
    17noncomputable def productSpaceEquiv {K V W : Type} [Field K] [AddCommGroup V] [Module K V]
    18 [AddCommGroup W] [Module K W] (C : Submodule K V) (R : Submodule K W) :
    19 (C.prod R) ≃ₗ[K] C × R :=
    20 { toFun := fun v => (⟨v.val.1,v.property.1⟩,⟨v.val.2,v.property.2⟩)
    21 invFun := fun v => ⟨(v.1.val,v.2.val),v.1.property,v.2.property⟩
    22 left_inv := fun _ => rfl
    23 right_inv := fun _ => rfl
    24 map_add' := fun _ _ => rfl
    25 map_smul' := fun _ _ => rfl }
    26
    27axiom product_space_dimension {K V W : Type} [Field K] [AddCommGroup V] [Module K V]
    28 [AddCommGroup W] [Module K W] [FiniteDimensional K V] [FiniteDimensional K W]
    29 (C : Submodule K V) (R : Submodule K W) :
    30 Module.finrank K (C.prod R) = Module.finrank K C+Module.finrank K R
    31
    32axiom gain_product {K V W : Type} [Field K] [AddCommGroup V] [Module K V]
    33 [AddCommGroup W] [Module K W] [FiniteDimensional K V] [FiniteDimensional K W]
    34 (U C : Submodule K V) (Z R : Submodule K W) :
    35 gain (U.prod Z) (C.prod R) = gain U C+gain Z R
    36
    37axiom span_after_product {K V W ι : Type} [Field K] [AddCommGroup V] [Module K V]
    38 [AddCommGroup W] [Module K W]
    39 (C : ι → Submodule K V) (R : ι → Submodule K W)
    40 (U : Submodule K V) (Z : Submodule K W) (l : List ι) :
    41 spanAfter (fun i => (C i).prod (R i)) (U.prod Z) l =
    42 (spanAfter C U l).prod (spanAfter R Z l)
    43
    44axiom sum_gain_product {K V W ι : Type} [Field K] [AddCommGroup V] [Module K V]
    45 [AddCommGroup W] [Module K W] [FiniteDimensional K V] [FiniteDimensional K W]
    46 (C : ι → Submodule K V) (R : ι → Submodule K W)
    47 (U : Submodule K V) (Z : Submodule K W) (l : List ι) :
    48 (l.map (fun i => gain (U.prod Z) ((C i).prod (R i)))).sum =
    49 (l.map (fun i => gain U (C i))).sum+(l.map (fun i => gain Z (R i))).sum
    50
    51axiom deficit_product {K V W ι : Type} [Field K] [AddCommGroup V] [Module K V]
    52 [AddCommGroup W] [Module K W] [FiniteDimensional K V] [FiniteDimensional K W]
    53 (C : ι → Submodule K V) (R : ι → Submodule K W)
    54 (U : Submodule K V) (Z : Submodule K W) (l : List ι) :
    55 deficit (fun i => (C i).prod (R i)) (U.prod Z) l = deficit C U l+deficit R Z l
    56
    57end Lax342547.CombinedSpans
    58
    Show ProofShow ProofShow ProofShow ProofShow Proof

    Discussion

    Ask a question or add context. Endorsements and structured flags are kept in the review panel above.

    Loading discussion…