Library prosa.util.unit_growth

From mathcomp Require Import ssreflect ssrbool eqtype ssrnat zify.zify.
Require Import prosa.util.tactics prosa.util.notation prosa.util.rel.

We say that a function f is a unit growth function iff for any time instant t it holds that f (t + 1) ≤ f t + 1.

Definition unit_growth_function (f : nat → nat) :=
∀ t, f (t + 1) ≤ f t + 1.

In this section, we prove a few useful lemmas about unit growth functions.

Section Lemmas.

Let f be any unit growth function over natural numbers.

Variable f : nat → nat.
Hypothesis H_unit_growth_function : unit_growth_function f.

Since f is a unit-growth function, the value of f after k steps is at most k greater than its value at the starting point.

  Lemma unit_growth_function_k_steps_bounded :
    ∀ (x k : nat),
      f (x + k) ≤ k + f x.
  Proof.
    intros x k; induction k.
    { by rewrite addn0 add0n. }
    { rewrite addnS; apply: leq_trans.
      { by rewrite -addn1; apply H_unit_growth_function. }
      { lia. }
    }
  Qed.

In the following section, we prove a result similar to the intermediate value theorem for continuous functions.

Section ExistsIntermediateValue.

Consider any interval [x1, x2].

Variable x1 x2 : nat.
Hypothesis H_is_interval : x1 ≤ x2.

Let y be any value such that f x1 ≤ y < f x2.

Variable y : nat.
Hypothesis H_between : f x1 ≤ y < f x2.

Then, we prove that there exists an intermediate point x_mid such that f x_mid = y.

    Lemma exists_intermediate_point :
      ∃ x_mid ,
        x1 ≤ x_mid < x2 ∧ f x_mid = y.
    Proof.
      rename H_is_interval into INT, H_unit_growth_function into UNIT, H_between into BETWEEN.
      move: x2 INT BETWEEN; clear x2.
      suff DELTA:
        ∀ delta,
          f x1 ≤ y < f (x1 + delta) →
          ∃ x_mid , x1 ≤ x_mid < x1 + delta ∧ f x_mid = y.
      { move ⇒ x2 LE /andP [GEy LTy].
        specialize (DELTA (x2 - x1)); feed DELTA.
        { by apply/andP; split; last by rewrite addnBA // addKn. }
        by rewrite subnKC in DELTA.
      }
      elim⇒ [|delta IHdelta].
      { rewrite addn0; move ⇒ /andP [GE0 LT0].
        by apply (leq_ltn_trans GE0) in LT0; rewrite ltnn in LT0.
      }
      { move ⇒ /andP [GT LT].
        specialize (UNIT (x1 + delta)); rewrite leq_eqVlt in UNIT.
        have LE: y ≤ f (x1 + delta).
        { move: UNIT ⇒ /orP [/eqP EQ | UNIT]; first by rewrite !addn1 in EQ; rewrite addnS EQ ltnS in LT.
          rewrite [X in _ < X]addn1 ltnS in UNIT.
          apply: (leq_trans _ UNIT).
          by rewrite addn1 -addnS ltnW.
        } clear UNIT LT.
        rewrite leq_eqVlt in LE.
        move: LE ⇒ /orP [/eqP EQy | LT].
        { ∃ (x1 + delta); split; last by rewrite EQy.
          by apply/andP; split; [apply leq_addr | rewrite addnS].
        }
        { feed (IHdelta); first by apply/andP; split.
          move: IHdelta ⇒ [x_mid [/andP [GE0 LT0] EQ0]].
          ∃ x_mid; split; last by done.
          apply/andP; split; first by done.
          by apply: (leq_trans LT0); rewrite addnS.
        }
      }
    Qed.

  End ExistsIntermediateValue.

Next, we prove the same lemma with slightly different boundary conditions.

Section ExistsIntermediateValueLEQ.

Consider any interval [x1, x2].

Variable x1 x2 : nat.
Hypothesis H_is_interval : x1 ≤ x2.

Let y be any value such that f x1 ≤ y ≤ f x2. Note that y is allowed to be equal to f x2.

Variable y : nat.
Hypothesis H_between : f x1 ≤ y ≤ f x2.

Then, we prove that there exists an intermediate point x_mid such that f x_mid = y.

    Corollary exists_intermediate_point_leq :
      ∃ x_mid ,
        x1 ≤ x_mid ≤ x2 ∧ f x_mid = y.
    Proof.
      move: (H_between) ⇒ /andP [H1 H2].
      move: H2; rewrite leq_eqVlt ⇒ /orP [/eqP EQ | LT].
      { ∃ x2; split.
        - by apply /andP; split ⇒ //.
        - by done.
      }
      { edestruct exists_intermediate_point with (x1 := x1) (x2 := x2) as [mid [NEQ EQ]] ⇒ //.
        { by apply/andP; split; [ apply H1 | apply LT]. }
        ∃ mid; split; last by done.
        move: NEQ ⇒ /andP [NEQ1 NEQ2].
        by apply/andP; split ⇒ //.
      }
    Qed.

  End ExistsIntermediateValueLEQ.

In this section, we, again, prove an analogue of the intermediate value theorem, but for predicates over natural numbers.

Section ExistsIntermediateValuePredicates.

Let P be any predicate on natural numbers.

Variable P : nat → bool.

Consider a time interval [t1,t2] such that ...

Variables t1 t2 : nat.
Hypothesis H_t1_le_t2 : t1 ≤ t2.

... P doesn't hold for t1 ...

Hypothesis H_not_P_at_t1 : ~~ P t1.

... but holds for t2.

Hypothesis H_P_at_t2 : P t2.

Then we prove that within time interval [t1,t2] there exists time instant t such that t is the first time instant when P holds.

    Lemma exists_first_intermediate_point :
      ∃ t , (t1 < t ≤ t2 ) ∧ (∀ x, t1 ≤ x < t → ~~ P x ) ∧ P t.
    Proof.
      have EX: ∃ x , P x && (t1 < x ≤ t2 ).
      { ∃ t2.
        apply/andP; split; first by done.
        apply/andP; split; last by done.
        move: H_t1_le_t2; rewrite leq_eqVlt; move ⇒ /orP [/eqP EQ | NEQ1]; last by done.
        by exfalso; subst t2; move: H_not_P_at_t1 ⇒ /negP NPt1.
      }
      have MIN := ex_minnP EX.
      move: MIN ⇒ [x /andP [Px /andP [LT1 LT2]] MIN]; clear EX.
      ∃ x; repeat split; [ apply/andP; split | | ]; try done.
      move ⇒ y /andP [NEQ1 NEQ2]; apply/negPn; intros Py.
      feed (MIN y).
      { apply/andP; split; first by done.
        apply/andP; split.
        - move: NEQ1. rewrite leq_eqVlt; move ⇒ /orP [/eqP EQ | NEQ1]; last by done.
          by exfalso; subst y; move: H_not_P_at_t1 ⇒ /negP NPt1.
        - by apply ltnW, leq_trans with x.
      }
      by move: NEQ2; rewrite ltnNge; move ⇒ /negP NEQ2.
    Qed.

  End ExistsIntermediateValuePredicates.

End Lemmas.

Slowing Functions to Unit-Step Growth

Next, we define and prove a few properties about a function that converts any function into a unit-step function. This construction will be used later to define Supply-Bound Functions (SBFs), which must satisfy this growth constraint in some of the RTAs.

Slowed Function

Given a function F : nat → nat, we define a slowed version slowed F such that slowed F n grows no faster than one unit per input increment. Intuitively, slowed F matches F when slowed F n = F n, and otherwise "lags behind" F to enforce the unit-growth constraint.

The definition is recursive: slowed F n is the minimum of F n and 1 + slowed F (n-1).

Fixpoint slowed (F : nat → nat) (n : nat) : nat :=
  match n with
  | 0 ⇒ F 0
  | n'.+1 ⇒ minn (F n'.+1) (slowed F n').+1
  end.

Given two functions f and F, if f is a unit-growth function and f ≤ F pointwise up to Δ, then f Δ ≤ slowed F Δ.

Lemma slowed_respects_pointwise_leq :
  ∀ (f F : nat → nat) (Δ : nat),
    unit_growth_function f →
    (∀ x, x ≤ Δ → f x ≤ F x ) →
    f Δ ≤ slowed F Δ.
Proof.
  move ⇒ f F x SL LE; induction x as [|n IH]; first by apply: LE.
  have [CLE|Hcase] := leqP (F n.+1) (slowed F n + 1).
  { rewrite leq_min; apply/andP; split; first by apply LE.
    apply: leq_trans; first by apply LE.
    by rewrite addn1 in CLE.
  }
  { rewrite leq_min; apply/andP; split; first by apply LE.
    apply: leq_trans; first by rewrite -addn1; apply SL.
    by rewrite -[in leqRHS]addn1 leq_add2r; apply IH.
  }
Qed.

The slowed function grows at most by 1 per step (i.e., it's unit-growth).

Lemma slowed_is_unit_step :
  ∀ (f : nat → nat),
    unit_growth_function (slowed f).
Proof.
  unfold unit_growth_function; intros f x; rewrite !addn1.
  by induction x; simpl; lia.
Qed.

If f is monotone, then slowed f is also monotone.

Lemma slowed_respects_monotone :
  ∀ (f : nat → nat),
    monotone leq f →
    monotone leq (slowed f).
Proof.
  move ⇒ f MON x y NEQ.
  interval_to_duration x y k; induction k as [ | k IHk].
  { by rewrite addn0. }
  { rewrite addnS //=; apply:leq_trans; first by apply IHk.
    move: (MON (x + k) (x + k).+1 ltac:(done)) ⇒ MONS.
    rewrite leq_min; apply/andP; split; last by done.
    apply: leq_trans; last by apply MONS.
    by clear; induction (x + k); [done | simpl; lia].
  }
Qed.