# Library prosa.util.sum

From mathcomp Require Import ssreflect ssrbool eqtype ssrnat seq fintype bigop path.
Require Export prosa.util.notation.
Require Export prosa.util.rel.
Require Export prosa.util.nat.
Section SumsOverSequences.
Consider any type I with a decidable equality ...
Variable (I : eqType).
... and assume we are given a sequence ...
Variable (r : seq I).
... and a predicate P.
Variable (P : pred I).
First, we will show some properties of the sum performed over a single function yielding natural numbers.
Section SumOfOneFunction.
Consider any function that yields natural numbers.
Variable (F : I → nat).
We start showing that having every member of r equal to zero is equivalent to having the sum of all the elements of r equal to zero, and vice-versa.
Lemma sum_nat_eq0_nat :
(\sum_(i <- r | P i) F i == 0) = all (fun x ⇒ F x == 0) [seq x <- r | P x].
In the same way, if at least one element of r is not zero, then the sum of all elements of r must be strictly positive, and vice-versa.
Lemma sum_nat_gt0 :
(0 < \sum_(i <- r | P i) F i) = has (fun x ⇒ 0 < F x) [seq x <- r | P x].
We prove that if any element of r is bounded by constant c, then the sum of the whole set is bounded by c × size r.
Lemma sum_majorant_constant c :
(∀ a, a \in r → P a → F a ≤ c) →
\sum_(j <- r | P j) F j ≤ c × (size [seq j <- r | P j]).
Next, we show that if the predicate P is a disjunction of the predicates Q and R, and Q and R can never be simultaneously satisfied by any element, then the sum of elements in r respecting P can be obtained by adding the sum of elements in r respecting Q and the elements in r respecting R.
Lemma sum_split_exhaustive_mutually_exclusive_preds :
∀ Q R,
(∀ x, P x = (Q x) || (R x)) → (∀ x, ~~(Q x && R x))
→ \sum_(r <- r | P r) F r = \sum_(r <- r | Q r) F r + \sum_(r <- r | R r) F r.
We also prove that the maximum value taken by a function over elements of a range r satisfying any predicate P is always smaller than the sum of the function over the elements.
Lemma bigmax_leq_sum :
\max_(i <- r | P i) F i ≤ \sum_(i <- r | P i) F i.
We show that if r1 is a subsequence of r2, then the sum of function F over elements satisfying predicate P in r1 is less than or equal to the sum over elements satisfying P in r2.
Lemma sum_le_subseq :
∀ r1 r2,
subseq r1 r2 →
\sum_(x <- r1 | P x) F x ≤ \sum_(x <- r2 | P x) F x.
End SumOfOneFunction.
In this section, we show some properties of the sum performed over two different functions.
Section SumOfTwoFunctions.
Consider three functions that yield natural numbers.
Variable (E E1 E2 : I → nat).
Besides earlier introduced predicate P, we add two additional predicates P1 and P2.
Variable (P1 P2 : pred I).
Assume that E2 dominates E1 in all the points contained in the set r and respecting the predicate P. We prove that, if we sum both function over those points, then the sum of E2 will dominate the sum of E1.
Lemma leq_sum_seq :
(∀ i, i \in r → P i → E1 i ≤ E2 i) →
\sum_(i <- r | P i) E1 i ≤ \sum_(i <- r | P i) E2 i.
In the same way, if E1 equals E2 in all the points considered above, then also the two sums will be identical.
Lemma eq_sum_seq :
(∀ i, i \in r → P i → E1 i == E2 i) →
\sum_(i <- r | P i) E1 i = \sum_(i <- r | P i) E2 i.
Assume that P1 implies P2 in all the points contained in the set r. We prove that, if we sum both functions over those points, then the sum of E conditioned by P2 will dominate the sum of E conditioned by P1.
Lemma leq_sum_seq_pred :
(∀ i, i \in r → P1 i → P2 i) →
\sum_(i <- r | P1 i) E i ≤ \sum_(i <- r | P2 i) E i.
End SumOfTwoFunctions.
End SumsOverSequences.
For technical (and temporary) reasons related to the proof style, the next two lemmas are stated outside of the section, but conceptually make use of a similar context.
First, we observe that summing over a subset of a given sequence, if all summands are natural numbers, cannot yield a larger sum.
Lemma leq_sum_subseq (I : eqType) (r r' : seq I) (P : pred I) (F : I → nat) :
subseq r r' →
\sum_(i <- r | P i) F i ≤ \sum_(i <- r' | P i) F i.
Second, we repeat the above observation that summing a superset of natural numbers cannot yield a lesser sum, but phrase the claim differently.
Requiring the absence of duplicate in r is a simple way to guarantee that the set inclusion r ≤ rs implies the actually required multiset inclusion.
Lemma leq_sum_sub_uniq (I : eqType) (r : seq I) (F : I → nat) (rs : seq I) :
uniq r → {subset r ≤ rs} →
\sum_(i <- r) F i ≤ \sum_(i <- rs) F i.
We continue establishing properties of sums over sequences, but start a new section here because some of the below proofs depend lemmas in the preceding section in their full generality.
Section SumsOverSequences.
Consider any type I with a decidable equality ...
Variable (I : eqType).
... and assume we are given a sequence ...
Variable (r : seq I).
... and a predicate P.
Variable (P : pred I).
Consider two functions that yield natural numbers.
Variable (E1 E2 : I → nat).
First, as an auxiliary lemma, we observe that, if E1 j is less than E2 j for some element j involved in a summation (filtered by P), then the corresponding totals are not equal.
Lemma ltn_sum_leq_seq j :
j \in r →
P j →
E1 j < E2 j →
(∀ i, i \in r → P i → E1 i ≤ E2 i) →
\sum_(x <- r | P x) E1 x < \sum_(x <- r | P x) E2 x.
Next, we prove that if for any element i of a set r the following two statements hold (1) E1 i is less than or equal to E2 i and (2) the sum E1 x_1, ..., E1 x_n is equal to the sum of E2 x_1, ..., E2 x_n, then E1 x is equal to E2 x for any element x of xs.
Lemma eq_sum_leq_seq :
(∀ i, i \in r → P i → E1 i ≤ E2 i) →
\sum_(x <- r | P x) E1 x == \sum_(x <- r | P x) E2 x
= all (fun x ⇒ E1 x == E2 x) [seq x <- r | P x].
End SumsOverSequences.
In the following, we prove a variety of simple properties of sums over ranges.
First, we prove that the sum of Δ ones is equal to Δ .
Lemma sum_of_ones :
∀ t Δ,
\sum_(t ≤ x < t + Δ) 1 = Δ.
Next, we show that a sum of natural numbers equals zero if and only if all terms are zero.
Lemma big_nat_eq0 m n F :
\sum_(m ≤ i < n) F i = 0 ↔ (∀ i, m ≤ i < n → F i = 0).
Moreover, the fact that the sum is smaller than the range of the summation implies the existence of a zero element.
Lemma sum_le_summation_range :
∀ f t Δ,
\sum_(t ≤ x < t + Δ) f x < Δ →
∃ x, t ≤ x < t + Δ ∧ f x = 0.
In this section, we show how it is possible to equate the result of two sums performed on two different functions and on different intervals, provided that the two functions match point-wise.
Section SumOfTwoIntervals.
Consider two equally-sized intervals `[t1, t1+d)` and `[t2, t2+d)`...
Variable (t1 t2 : nat).
Variable (d : nat).
...and two functions F1 and F2.
Variable (F1 F2 : nat → nat).
Assume that the two functions match point-wise with each other, with the points taken in their respective interval.
Hypothesis equal_before_d : ∀ g, g < d → F1 (t1 + g) = F2 (t2 + g).
The then summations of F1 over `[t1, t1 + d)` and F2 over `[t2, t2 + d)` are equal.
Lemma big_sum_eq_in_eq_sized_intervals :
\sum_(t1 ≤ t < t1 + d) F1 t = \sum_(t2 ≤ t < t2 + d) F2 t.
End SumOfTwoIntervals.
In this section, we relate the sum of items with the sum over partitions of those items.
Section SumOverPartitions.
Consider an item type X and a partition type Y.
Variable X Y : eqType.
x_to_y is the mapping from an item to the partition it is contained in.
Variable x_to_y : X → Y.
Consider f, a function from X to nat.
Variable f : X → nat.
Consider an arbitrary predicate P on X.
Variable P : pred X.
Consider a sequence of items xs and a sequence of partitions ys.
Variable xs : seq X.
Variable ys : seq Y.
We assume that any item in xs has its corresponding partition in the sequence of partitions ys.
Hypothesis H_no_partition_missing : ∀ x, x \in xs → P x → x_to_y x \in ys.
Consider the sum of f x over all x in a given partition y.
Let sum_of_partition y := \sum_(x <- xs | P x && (x_to_y x == y)) f x.
We prove that summation of f x over all x is less than or equal to the summation of sum_of_partition over all partitions.
Lemma sum_over_partitions_le :
\sum_(x <- xs | P x) f x
≤ \sum_(y <- ys) sum_of_partition y.
Consider a partition y'.
Variable y' : Y.
We prove that the sum of items excluding all items from a partition y' is less-than-or-equal to the sum over all partitions except y'.
Lemma reorder_summation : \sum_(x <- xs | P x && (x_to_y x != y')) f x ≤
\sum_(y <- ys | y != y') sum_of_partition y.
In this section, we prove a stronger result about the equality between the sum over all items and the sum over all partitions of those items.
Section Equality.
In order to prove the stronger result of equality, we additionally assume that the sequences xs and ys are sets, i.e., that each element is contained at most once.
Hypothesis H_xs_unique : uniq xs.
Hypothesis H_ys_unique : uniq ys.
We prove that summation of f x over all x is equal to the summation of sum_of_partition over all partitions.
Lemma sum_over_partitions_eq :
\sum_(x <- xs | P x) f x
= \sum_(y <- ys) sum_of_partition y.
End Equality.
End SumOverPartitions.
We observe a trivial monotonicity-preserving property with regard to leq.
Section Monotonicity.
Consider any type of indices, any predicate, ...
Variables (I : eqType) (P : pred I).
... and any function that maps each index to a nat → nat function.
Variable F : I → nat → nat.
Consider any set of indices ...
Variable r : seq I.
... and suppose that F i is monotonic with regard to leq for every index in r.
Hypothesis H_mono : ∀ i, i \in r → monotone leq (F i).
Consider the sum of F over r, for any given x.
Let f x := \sum_(i <- r | P i) F i x.
We note that this sum f is monotonic with regard to leq in x.
Lemma sum_leq_mono :
monotone leq f.
End Monotonicity.
As a rewriting aid, it is useful to note that summing over "all" elements of unit : finType is a no-op.
Lemma sum_unit1 :
∀ {F : unit → nat},
\sum_r F r = F tt.
We prove that, given an interval `[t1, t2)` and two predicates P1, P2, if P1 is satisfied at least n1 times and P2 is satisfied at least n2 times, then their intersection P1 ∧ P2 is satisfied at least (n1 + n2) - (t2 - t1) times.
Lemma pigeonhole_on_interval :
∀ (P1 P2 : pred nat) (t1 t2 : nat) (n1 n2 : nat),
n1 ≤ \sum_(t1 ≤ t < t2) P1 t →
n2 ≤ \sum_(t1 ≤ t < t2) P2 t →
(n1 + n2) - (t2 - t1) ≤ \sum_(t1 ≤ t < t2) (P1 t && P2 t).
If a function p (bounded by 1) sums to at least two over a list of unique elements, then there must be two distinct elements in the list for which p evaluates to 1.
Lemma sum_ge_2_seq :
∀ {X : eqType} (xs : seq X) (p : X → nat),
uniq xs →
(∀ x, x \in xs → p x ≤ 1) →
2 ≤ \sum_(x <- xs) p x →
∃ x1 x2,
x1 != x2
∧ (x1 \in xs)
∧ (x2 \in xs)
∧ p x1 == 1
∧ p x2 == 1.
Similarly to sum_ge_2_seq, if a function p bounded by 1 sums to at least two over a range of natural numbers, then there must be two distinct numbers for which p evaluates to 1.
Lemma sum_ge_2_nat :
∀ (t1 t2 : nat) (p : nat → nat),
(∀ t, p t ≤ 1) →
2 ≤ \sum_(t1 ≤ t < t2) p t →
∃ to1 to2,
(t1 ≤ to1) ∧ (to1 < to2) ∧ (to2 < t2)
∧ p to1 == 1
∧ p to2 == 1.