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Binomial coefficients

Binomial coefficients


Authors: Jean-Christophe Filliâtre

Topics: Mathematics / Algorithms

Tools: Why3

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Binomial coefficients

The binomial coefficient C(n,k) is equal to

n*(n-1)*(n-2)*...*(n-k+1) ------------------------- k*(k-1)*(k-2)*...*1

This can be readily computed with three lines of C:

int c = 1; for (int i = 1; i <= k ; i++) c = c * (n - i + 1) / i;

In the code above, it is not obvious that each division is exact. Below is a proof.

Author: Jean-Christophe FilliĆ¢tre (CNRS)

use int.Int
use int.EuclideanDivision
use int.MinMax

let function (/) (x: int) (y: int)
  requires { [@expl:check division by zero] y <> 0 }
= div x y

let rec function comb (n k: int) : int
  requires { 0 <= k <= n }
  variant  { n }
  ensures  { result >= 1 }
= if k = 0 || k = n then 1 else comb (n-1) k + comb (n-1) (k-1)

let rec lemma prop1 (n k: int)
  requires { 0 <= k <= n }
  ensures  { comb n (n - k) = comb n k }
  variant  { n }
= if 0 < k < n then (prop1 (n-1) k; prop1 (n-1) (k-1))

let rec lemma prop2 (n k: int)
  requires { 1 <= k <= n }
  ensures  { k * comb n k = comb n (k - 1) * (n - k + 1) }
  variant  { n }
= if k < n then prop2 (n-1) k;
  if 1 < k then prop2 (n-1) (k-1)

let compute (n k: int) : (r: int)
  requires { 0 <= k <= n }
  ensures  { r = comb n k }
= let k = min k (n - k) in
  let ref r = 1 in
  for i = 1 to k do
    invariant { 1 <= i <= k + 1 }
    invariant { r = comb n (i - 1) }
    r <- r * (n - i + 1) / i;
    prop2 n i;
  done;
  r

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Why3 Proof Results for Project "binomial"

Theory "binomial.Top": fully verified

ObligationsAlt-Ergo 2.4.0Z3 4.8.10
VC for infix /---0.01
VC for comb---0.01
VC for prop1---0.02
VC for prop2------
split_vc
variant decrease---0.01
precondition---0.02
variant decrease---0.02
precondition---0.01
postcondition0.09---
VC for compute------
split_vc
loop invariant init---0.02
loop invariant init---0.02
check division by zero---0.01
precondition---0.02
loop invariant preservation---0.01
loop invariant preservation---0.24
postcondition---0.02
VC for compute---0.01