Attributes used in Mathlib

In this file we define all simp-like and label-like attributes used in Mathlib. We declare all of them in one file for two reasons:

• in Lean 4, one cannot use an attribute in the same file where it was declared;
• this way it is easy to see which simp sets contain a given lemma.

def Parser.Attr.functor_norm_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.functor_norm : Lean.ParserDescr

Simp set for functor_norm

def Parser.Attr.monad_norm : Lean.ParserDescr

Simp set for functor_norm

def Parser.Attr.monad_norm_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.parity_simps : Lean.ParserDescr

Simp attribute for lemmas about Even

def Parser.Attr.parity_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.rclike_simps : Lean.ParserDescr

"Simp attribute for lemmas about RCLike"

def Parser.Attr.rclike_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.rify_simps : Lean.ParserDescr

The simpset rify_simps is used by the tactic rify to move expressions from ℕ, ℤ, or ℚ to ℝ.

def Parser.Attr.rify_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.qify_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.qify_simps : Lean.ParserDescr

The simpset qify_simps is used by the tactic qify to move expressions from ℕ or ℤ to ℚ which gives a well-behaved division.

def Parser.Attr.zify_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.zify_simps : Lean.ParserDescr

The simpset zify_simps is used by the tactic zify to move expressions from ℕ to ℤ which gives a well-behaved subtraction.

def Parser.Attr.mfld_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.mfld_simps : Lean.ParserDescr

The simpset mfld_simps records several simp lemmas that are especially useful in manifolds. It is a subset of the whole set of simp lemmas, but it makes it possible to have quicker proofs (when used with squeeze_simp or simp only) while retaining readability.

The typical use case is the following, in a file on manifolds: If simp [foo, bar] is slow, replace it with squeeze_simp [foo, bar, mfld_simps] and paste its output. The list of lemmas should be reasonable (contrary to the output of squeeze_simp [foo, bar] which might contain tens of lemmas), and the outcome should be quick enough.

def Parser.Attr.integral_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.integral_simps : Lean.ParserDescr

Simp set for integral rules.

def Parser.Attr.typevec : Lean.ParserDescr

simp set for the manipulation of typevec and arrow expressions

def Parser.Attr.typevec_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.ghost_simps_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.ghost_simps : Lean.ParserDescr

Simplification rules for ghost equations.

def Parser.Attr.nontriviality : Lean.ParserDescr

The @[nontriviality] simp set is used by the nontriviality tactic to automatically discharge theorems about the trivial case (where we know Subsingleton α and many theorems in e.g. groups are trivially true).

def Parser.Attr.nontriviality_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.is_poly : Lean.ParserDescr

A stub attribute for is_poly.

def Parser.Attr.fin_omega_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.fin_omega : Lean.ParserDescr

A simp set for the fin_omega wrapper around omega.

def Parser.Attr.enat_to_nat_top : Lean.ParserDescr

A simp set for simplifying expressions involving ⊤ in enat_to_nat.

def Parser.Attr.enat_to_nat_top_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.enat_to_nat_coe : Lean.ParserDescr

A simp set for pushing coercions from ℕ to ℕ∞ in enat_to_nat.

def Parser.Attr.enat_to_nat_coe_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.pnat_to_nat_coe : Lean.ParserDescr

A simp set for the pnat_to_nat tactic.

def Parser.Attr.pnat_to_nat_coe_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.mon_tauto_proc : Lean.ParserDescr

Simplification procedure

def Parser.Attr.mon_tauto : Lean.ParserDescr

mon_tauto is a simp set to prove tautologies about morphisms from some (tensor) power of M to M, where M is a (commutative) monoid object in a (braided) monoidal category.

This simp set is incompatible with the standard simp set. If you want to use it, make sure to add the following to your simp call to disable the problematic default simp lemmas:

-MonoidalCategory.whiskerLeft_id, -MonoidalCategory.id_whiskerRight,
-MonoidalCategory.tensor_comp, -MonoidalCategory.tensor_comp_assoc,
-MonObj.mul_assoc, -MonObj.mul_assoc_assoc

The general algorithm it follows is to push the associators α_ and commutators β_ inwards until they cancel against the right sequence of multiplications.

This approach is justified by the fact that a tautology in the language of (commutative) monoid objects "remembers" how it was proved: Every use of a (commutative) monoid object axiom inserts a unitor, associator or commutator, and proving a tautology simply amounts to undoing those moves as prescribed by the presence of unitors, associators and commutators in its expression.

This simp set is opinionated about its normal form, which is why it cannot be used concurrently with some of the simp lemmas in the standard simp set:

• It eliminates all mentions of whiskers by rewriting them to tensored homs, which goes against whiskerLeft_id and id_whiskerRight: X ◁ f = 𝟙 X ⊗ₘ f, f ▷ X = 𝟙 X ⊗ₘ f. This goes against whiskerLeft_id and id_whiskerRight in the standard simp set.
• It collapses compositions of tensored homs to the tensored hom of the compositions, which goes against tensor_comp: (f₁ ⊗ₘ g₁) ≫ (f₂ ⊗ₘ g₂) = (f₁ ≫ f₂) ⊗ₘ (g₁ ≫ g₂). TODO: Isn't this direction Just Better?
• It cancels the associators against multiplications, which goes against mul_assoc: (α_ M M M).hom ≫ (𝟙 M ⊗ₘ μ) ≫ μ = (μ ⊗ₘ 𝟙 M) ≫ μ, (α_ M M M).inv ≫ (μ ⊗ₘ 𝟙 M) ≫ μ = (𝟙 M ⊗ₘ μ) ≫ μ
• It unfolds non-primitive coherence isomorphisms, like the tensor strengths tensorμ, tensorδ.