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Proof step 1 from proof scolsort-dirtyboundhalf (conclusion) (back to tree)

#r mx0 = #r mx, #c mx0 = #c mx, #c mx ≠ 0 ⊦ scolsorted(mx, #c mx, mx0) ∧ mx0.dirtyrows≤(bound) ∧ srowsorted(mx0, #r mx0, mx0) → mx.dirtyrows≤(bound /↑ 2)

System applied rule normalize

And obtained the following new goals

Rule argument

Additional information

Proof step 2 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #c mx ≠ 0, mx0.dirtyrows≤(bound), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx0, mx0), ¬ mx.dirtyrows≤(bound /↑ 2) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:dirtyrowsbound-def, seq: ⊦ mx.dirtyrows≤(bound) ↔ (∀ i. #dirtyrows(mx, i) ≤ bound), subst:[mx, bound] → [mx0, bound], <all paths>

Additional information

Used terms: mx0, bound

Proof step 3 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ mx.dirtyrows≤(bound) ↔ (∀ i. #dirtyrows(mx, i) ≤ bound)

Lemma dirtyrowsbound-def

Proof step 4 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #c mx ≠ 0, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx0, mx0), ¬ mx.dirtyrows≤(bound /↑ 2), ∀ i. #dirtyrows(mx0, i) ≤ bound ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Proof step 5 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #c mx ≠ 0, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), ¬ mx.dirtyrows≤(bound /↑ 2), ∀ i. #dirtyrows(mx0, i) ≤ bound ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:dirtyrowsbound-def, seq: ⊦ mx.dirtyrows≤(bound) ↔ (∀ i. #dirtyrows(mx, i) ≤ bound), subst:[mx, bound] → [mx, bound /↑ 2], <all paths>

Additional information

Used terms: mx, bound /↑ 2

Proof step 6 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ mx.dirtyrows≤(bound) ↔ (∀ i. #dirtyrows(mx, i) ≤ bound)

Lemma dirtyrowsbound-def

Proof step 7 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #c mx ≠ 0, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), ∀ i. #dirtyrows(mx0, i) ≤ bound, ∃ i. ¬ #dirtyrows(mx, i) ≤ bound /↑ 2 ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ m ≤ n ↔ ¬ n < m; (ss)

Proof step 8 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #c mx ≠ 0, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), ∀ i. #dirtyrows(mx0, i) ≤ bound ⊦

User applied rule all left

And obtained the following new goals

Rule argument

pos: left 7 terms: i abort: F discard: T computed: T

Additional information

Used terms: i

Proof step 9 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #c mx ≠ 0, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:dirtyrows-def, seq:⊦ #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, subst:[i, mx] → [i, mx]

Additional information

Used terms: i, mx

Proof step 10 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx

Lemma dirtyrows-def

Proof step 11 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #c mx ≠ 0, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:dirtyrows-def, seq:⊦ #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, subst:[i, mx] → [i, mx0]

Additional information

Used terms: i, mx0

Proof step 12 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx

Lemma dirtyrows-def

Proof step 13 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #c mx ≠ 0, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Proof step 14 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #c mx ≠ 0, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:exists-max0column, seq:#c mx ≠ 0 ⊦ ∃ c. c < #c mx ∧ (∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i)), subst:[mx, i] → [mx, i]

Additional information

Used terms: mx, i

Proof step 15 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx ≠ 0 ⊦ ∃ c. c < #c mx ∧ (∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i))

Lemma exists-max0column

Proof step 16 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #c mx ≠ 0, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, ∃ c. c < #c mx ∧ (∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i)) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic

Proof step 17 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:max0column-clean0rowsbounded, seq:#r mx = #r mx0, #c mx = #c mx0, c0 < #c mx, srowsorted(mx0, #r mx0, mx0), scolsorted(mx, #c mx, mx0), ∀ c. c < #c mx → count(mx[c]c, λ j. j < i) ≤ count(mx[c0]c, λ j. j < i) ⊦ #clean0rows(mx, i) ≥ #clean0rows(mx0, i) + min (countevn(mx0[c0]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c0]c, #clean0rows(mx0, i), #r mx, λ j. j < i)), subst:[mx, mx0, c0, i] → [mx, mx0, c, i]

Additional information

Used terms: mx, mx0, c, i

Proof step 18 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#r mx = #r mx0, #c mx = #c mx0, c0 < #c mx, srowsorted(mx0, #r mx0, mx0), scolsorted(mx, #c mx, mx0), ∀ c. c < #c mx → count(mx[c]c, λ j. j < i) ≤ count(mx[c0]c, λ j. j < i) ⊦ #clean0rows(mx, i) ≥ #clean0rows(mx0, i) + min (countevn(mx0[c0]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c0]c, #clean0rows(mx0, i), #r mx, λ j. j < i))

Lemma max0column-clean0rowsbounded

Proof step 19 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦ #r mx = #r mx0 ∧ #c mx = #c mx0 ∧ srowsorted(mx0, #r mx0, mx0) ∧ (∀ c1. c1 < #c mx → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i))

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ m ≤ n ↔ ¬ n < m; (ss)

Proof step 20 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, count(mx[c]c, λ j. j < i) < count(mx[c1]c, λ j. j < i), c1 < #c mx, bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 12 terms: c1

Additional information

Used simplifier rules: ⊦ m < n → (n ≤ m ↔ false); (s) Used terms: c1

Proof step 21 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx, i) ≥ #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ n ≥ m ↔ m ≤ n; (s)

Proof step 22 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:max0column-determines-clean1rows, seq:c0 < #c mx, ∀ c. c < #c mx → ordered≤(mx[c]c), ∀ c. c < #c mx → count(mx[c]c, λ j. j < i) ≤ count(mx[c0]c, λ j. j < i) ⊦ #clean1rows(mx, i) + count(mx[c0]c, λ j. j < i) = #r mx, subst:[c0, mx, i] → [c, mx, i]

Additional information

Used terms: c, mx, i

Proof step 23 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

c0 < #c mx, ∀ c. c < #c mx → ordered≤(mx[c]c), ∀ c. c < #c mx → count(mx[c]c, λ j. j < i) ≤ count(mx[c0]c, λ j. j < i) ⊦ #clean1rows(mx, i) + count(mx[c0]c, λ j. j < i) = #r mx

Lemma max0column-determines-clean1rows

Proof step 24 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦ (∀ c. c < #c mx → ordered≤(mx[c]c)) ∧ (∀ c1. c1 < #c mx → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i))

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Proof step 25 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦ (c0 < #c mx → ordered≤(mx[c0]c)) ∧ (c1 < #c mx → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i))

User applied rule case distinction

And obtained the following new goals

Rule argument

pos: right 1

Additional information

Proof step 26 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c0 < #c mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ¬ ordered≤(mx[c0]c), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:scolsorted-def, seq:⊦ m ≤ #c mx → ( scolsorted(mx, m, mx0) ↔ #r mx = #r mx0 ∧ #c mx = #c mx0 ∧ (∀ c. c < #c mx → (c < m ⊃ perm(mx0[c]c, mx[c]c) ∧ ordered≤(mx[c]c) ;mx0[c]c = mx[c]c ))), subst:[mx, m, mx0] → [mx, #c mx, mx0], <all paths>

Additional information

Used simplifier rules: ⊦ m ≤ n ↔ ¬ n < m; (ss) ⊦ ¬ n < n; (s) Used terms: mx, #c mx, mx0

Proof step 27 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ m ≤ #c mx → ( scolsorted(mx, m, mx0) ↔ #r mx = #r mx0 ∧ #c mx = #c mx0 ∧ (∀ c. c < #c mx → (c < m ⊃ perm(mx0[c]c, mx[c]c) ∧ ordered≤(mx[c]c);mx0[c]c = mx[c]c)))

Lemma scolsorted-def

Proof step 28 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, c0 < #c mx, srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #c mx ≤ #c mx, ¬ ordered≤(mx[c0]c), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∀ c. c < #c mx → (c < #c mx ⊃ perm(mx0[c]c, mx[c]c) ∧ ordered≤(mx[c]c);mx0[c]c = mx[c]c) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic ⊦ m ≤ m; (s)

Proof step 29 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, c0 < #c mx, srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ¬ ordered≤(mx[c0]c), ∀ c1. c1 < #c mx → perm(mx0[c1]c, mx[c1]c) ∧ ordered≤(mx[c1]c), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 12 terms: c0

Additional information

Used terms: c0

Proof step 30 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c1 < #c mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ¬ count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ m ≤ n ↔ ¬ n < m; (ss)

Proof step 31 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, count(mx[c]c, λ j. j < i) < count(mx[c1]c, λ j. j < i), c1 < #c mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 13 terms: c1

Additional information

Used simplifier rules: ⊦ m < n → (n ≤ m ↔ false); (s) Used terms: c1

Proof step 32 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #clean1rows(mx, i) + count(mx[c]c, λ j. j < i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: c: ⊦ m + n = n + m; from specification nat-basic a: ⊦ (m + n0) + n1 = m + n0 + n1; from specification nat-basic eqs: ⊦ m = n + n0 ∧ m = n + n1 → n0 = n1; (forward) from specification nat-basic

Proof step 33 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule cut formula

And obtained the following new goals

Rule argument

fma: #dirtyrows(mx, i) ≤ #dirtyrows(mx0, i) /↑ 2

Additional information

Used formulas: #dirtyrows(mx, i) ≤ #dirtyrows(mx0, i) /↑ 2

Proof step 34 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx, i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic fle: ⊦ m < n ∧ n ≤ n0 → m < n0; (forward) from specification nat

Proof step 35 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), bound /↑ 2 < #dirtyrows(mx0, i) /↑ 2, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx, i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:divup-def, seq: ⊦ m /↑ n = (∃ n0. m = n0 * n ⊃ m / n;m / n + 1), subst:[m, n] → [bound, 2], <all paths>

Additional information

Used terms: bound, 2

Proof step 36 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ m /↑ n = (∃ n0. m = n0 * n ⊃ m / n;m / n + 1)

Lemma divup-def

Proof step 37 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx, i) ≤ #dirtyrows(mx0, i) /↑ 2, (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx0, i) /↑ 2, (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:divup-def, seq: ⊦ m /↑ n = (∃ n0. m = n0 * n ⊃ m / n;m / n + 1), subst:[m, n] → [#dirtyrows(mx0, i), 2], <all paths>

Additional information

Used terms: #dirtyrows(mx0, i), 2

Proof step 38 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ m /↑ n = (∃ n0. m = n0 * n ⊃ m / n;m / n + 1)

Lemma divup-def

Proof step 39 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1) ⊦

User applied rule case distinction

And obtained the following new goals

Rule argument

pos: left 12

Additional information

Proof step 40 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), bound / 2 < (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∃ n0. bound = n0 * 2, #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: mult-c: ⊦ m * n = n * m; from specification nat-mult mult-a: ⊦ m0 * m * n = (m0 * m) * n; from specification nat-mult ⊦ (2 * m) / 2 = m; (s)

Proof step 41 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ n0 * 2, n0 < (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1), (∃ n. n0 * 2 = n * 2 ⊃ n0;n0 + 1) < #dirtyrows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1) ⊦

User applied rule case distinction

And obtained the following new goals

Rule argument

pos: left 11

Additional information

Used simplifier rules: f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ (2 * m) / 2 = m; (s) ⊦ m < n → n ≠ 0; (s) 0 ≠ m ⊦ (* m) * n ≤ m * n0 ↔ n ≤ n0; (s) ⊦ m < n → (n ≤ m ↔ false); (s) mult-a: ⊦ m0 * m * n = (m0 * m) * n; from specification nat-mult mult-c: ⊦ m * n = n * m; from specification nat-mult

Proof step 42 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), c < #c mx, n0 < #dirtyrows(mx0, i) / 2 + 1, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ n0 * 2, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), (∃ n. n0 * 2 = n * 2 ⊃ n0;n0 + 1) < #dirtyrows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. #dirtyrows(mx0, i) ≠ n0 * 2, #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: mult-c: ⊦ m * n = n * m; from specification nat-mult mult-a: ⊦ m0 * m * n = (m0 * m) * n; from specification nat-mult ⊦ (2 * m) / 2 = m; (s) ⊦ m ≤ m; (s) 0 ≠ m ⊦ (* m) * n ≤ m * n0 ↔ n ≤ n0; (s) ⊦ m ≤ n → (n ≤ m ↔ m = n); (s) m0 ≠ 0 ⊦ n ≤ m / m0 ↔ n * m0 ≤ m; (s) ⊦ m < n ↔ ¬ n ≤ m; (ss) c: ⊦ m + n = n + m; from specification nat-basic a: ⊦ (m + n0) + n1 = m + n0 + n1; from specification nat-basic ⊦ m < n + 1 ↔ ¬ n < m; (s)

Proof step 43 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n0 * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n0 * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), (∃ n. n0 * 2 = n * 2 ⊃ n0;n0 + 1) < #dirtyrows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. #dirtyrows(mx0, i) ≠ n0 * 2, #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ n0;n0 + 1) ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 13 terms: n0

Additional information

Used terms: n0

Proof step 44 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), bound / 2 + 1 < (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2, #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1) ⊦

User applied rule case distinction

And obtained the following new goals

Rule argument

pos: left 12

Additional information

Used simplifier rules: ⊦ m + n < m + n0 ↔ n < n0; (s) a: ⊦ (m + n0) + n1 = m + n0 + n1; from specification nat-basic c: ⊦ m + n = n + m; from specification nat-basic ls-02: n ≠ 0 ⊦ m / n < m0 / n → m < m0; (forward) from specification nat-div f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ m / 2 = 0 ↔ m = 0 ∨ m = 1; (s) ⊦ m < n → n ≠ 0; (s) ⊦ m ≤ n → (n < m ↔ false); (s)

Proof step 45 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound / 2 + 1 < #dirtyrows(mx0, i) / 2, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), ∀ n0. bound ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∃ n0. #dirtyrows(mx0, i) = n0 * 2, #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ #dirtyrows(mx0, i) / 2;#dirtyrows(mx0, i) / 2 + 1) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic mult-c: ⊦ m * n = n * m; from specification nat-mult mult-a: ⊦ m0 * m * n = (m0 * m) * n; from specification nat-mult ⊦ (2 * m) / 2 = m; (s)

Proof step 46 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n0 * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n0 * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), bound / 2 + 1 < n0, c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), n0 * 2 ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2, #dirtyrows(mx, i) ≤ (∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊃ n0;n0 + 1) ⊦

User applied rule case distinction

And obtained the following new goals

Rule argument

pos: left 16

Additional information

Proof step 47 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n0 * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n0 * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound / 2 + 1 < n0, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n0 * 2 ≤ bound, #dirtyrows(mx, i) ≤ n0, (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), ∀ n0. bound ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∃ n0. #dirtyrows(mx0, i) = n0 * 2 ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Proof step 48 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, n0 * 2 = n * 2, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), bound / 2 + 1 < n0, c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx, i) ≤ n0, n * 2 ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2 ⊦

User applied rule case distinction

And obtained the following new goals

Rule argument

pos: left 15

Additional information

Proof step 49 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, n0 * 2 = n * 2, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound / 2 + 1 < n0, bound / 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n * 2 ≤ bound, #dirtyrows(mx, i) ≤ n0, ∀ n0. bound ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∃ n0. bound = n0 * 2 ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: fle-01: ⊦ m ≤ n ∧ n < n0 → m < n0; (forward) from specification nat fle: ⊦ m < n ∧ n ≤ n0 → m < n0; (forward) from specification nat mult-c: ⊦ m * n = n * m; from specification nat-mult mult-a: ⊦ m0 * m * n = (m0 * m) * n; from specification nat-mult ⊦ (2 * m) / 2 = m; (s) 0 ≠ m ⊦ (* m) * n ≤ m * n0 ↔ n ≤ n0; (s)

Proof step 50 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, n0 * 2 = n * 2, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n1 < n0, n < #dirtyrows(mx, i), n1 + 1 < n0, n1 < #dirtyrows(mx, i), c < #c mx, n < n0, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n ≤ n1, #dirtyrows(mx, i) ≤ n0, ∀ n0. n1 * 2 ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 19 terms: n1

Additional information

Used terms: n1

Proof step 51 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, n0 * 2 = n * 2, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound / 2 + 1 < n0, bound / 2 + 1 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n * 2 ≤ bound, #dirtyrows(mx, i) ≤ n0, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2 ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: nat-mult, name:eq, seq: ⊦ m0 ≠ 0 → (m * m0 = n * m0 ↔ m = n), subst:[m, m0, n] → [n0, 2, n], <all paths>

Additional information

Used terms: n0, 2, n

Proof step 52 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ m0 ≠ 0 → (m * m0 = n * m0 ↔ m = n)

A spec-lemma

Proof step 53 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n0 = n, 2 ≠ 0, bound / 2 + 1 < #dirtyrows(mx, i), bound / 2 + 1 < n0, c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx, i) ≤ n0, n * 2 ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic fle: ⊦ m < n ∧ n ≤ n0 → m < n0; (forward) from specification nat

Proof step 54 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), bound / 2 + 1 < #dirtyrows(mx, i), bound / 2 + 1 < n, c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx, i) ≤ n, n * 2 ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule apply elim lemma

And obtained the following new goals

Rule argument

spec: nat-div, name:div-elim, seq:n ≠ 0 ⊦ m0 = m / n ∧ n0 = m % n ↔ m = m0 * n + n0 ∧ n0 < n, subst:[m, n, m0, n0] → [bound, 2, m0, n1]

Additional information

Used simplifier rules: n ≠ 0 ⊦ m0 = m / n ∧ n0 = m % n ↔ m = m0 * n + n0 ∧ n0 < n; (elim) Used terms: bound, 2, m0, n1

Proof step 55 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, bound = m0 * 2 + n1, 2 ≠ 0, c < #c mx, m0 + 1 < n, m0 + 1 < #dirtyrows(mx, i), n1 < 2, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n * 2 ≤ bound, #dirtyrows(mx, i) ≤ n, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. bound ≠ n0 * 2 ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic fle: ⊦ m < n ∧ n ≤ n0 → m < n0; (forward) from specification nat

Proof step 56 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n1 < 2, m0 + 1 < #dirtyrows(mx, i), c < #c mx, m0 + 1 < n, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx, i) ≤ n, n * 2 ≤ m0 * 2 + n1, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ n0. m0 * 2 + n1 ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic quantifier closing applied rule all left

And obtained the following new goals

Rule argument

pos: left 16 terms: n

Additional information

Used terms: n

Proof step 57 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, m0 * 2 + n1 ≠ n * 2, m0 + 1 < n, c < #c mx, m0 + 1 < #dirtyrows(mx, i), n1 < 2, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n * 2 ≤ m0 * 2 + n1, #dirtyrows(mx, i) ≤ n, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. m0 * 2 + n1 ≠ n0 * 2 ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) lf-02: ⊦ m < n ∧ m = n0 → n0 < n; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ m ≠ n → (m ≤ n ↔ m < n); (s)

Proof step 58 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, m0 * 2 + n1 ≠ n * 2, n * 2 < m0 * 2 + n1, m0 + 1 < n, c < #c mx, m0 + 1 < #dirtyrows(mx, i), n1 < 2, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx, i) ≤ n, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. m0 * 2 + n1 ≠ n0 * 2 ⊦

User applied rule constructor cut

And closed the goal!

Rule argument

var: n1

Additional information

Used simplifier rules: nat freely generated by 0, +1;; ⊦ m < n + 1 ↔ ¬ n < m; (s) n < n0 ⊦ m + (* n) < (* n0) ↔ m < n0 - n; (s) ⊦ m < 1 ↔ m = 0; (s) ⊦ m < n ↔ ¬ n ≤ m; (ss) ⊦ m +1 = m + 1; (s) ⊦ n + 0 = n; (s) 0 ≠ m ⊦ (* m) * n ≤ m * n0 ↔ n ≤ n0; (s) ⊦ 2 * m ≠ 2 * n + 1; (s) mult-a: ⊦ m0 * m * n = (m0 * m) * n; from specification nat-mult mult-c: ⊦ m * n = n * m; from specification nat-mult let: ⊦ n ≤ n0 ∧ n0 ≤ n1 → n ≤ n1; (forward) from specification nat fle: ⊦ m < n ∧ n ≤ n0 → m < n0; (forward) from specification nat ⊦ ¬ m + n < m; (s) a: ⊦ (m + n0) + n1 = m + n0 + n1; from specification nat-basic c: ⊦ m + n = n + m; from specification nat-basic ⊦ m * n = m * n0 ↔ m = 0 ∨ n = n0; (ws) ⊦ 2 * m < 2 * n ↔ m < n; (s) f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic fle-01: ⊦ m ≤ n ∧ n < n0 → m < n0; (forward) from specification nat lf: ⊦ m < n ∧ n < n0 → m +1 < n0; (forward) from specification nat-basic trans-nat: ⊦ n < n0 ∧ n0 < n1 → n < n1; (forward) from specification nat-basic ⊦ m < n → n ≠ 0; (s) ⊦ m + m0 < n → ¬ n + n0 < m; (s)

Proof step 59 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #dirtyrows(mx0, i) = n0 * 2, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), n0 * 2 + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound / 2 + 1 < n0, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), n0 * 2 ≤ bound, #dirtyrows(mx, i) ≤ n0 + 1, (∃ n0. bound = n0 * 2 ⊃ bound / 2;bound / 2 + 1) < #dirtyrows(mx, i), ∀ n0. bound ≠ n0 * 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ n0. #dirtyrows(mx0, i) ≠ n0 * 2 ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 17 terms: n0

Additional information

Used terms: n0

Proof step 60 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), bound /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #dirtyrows(mx0, i) ≤ bound, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ¬ #dirtyrows(mx, i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m ≤ n ↔ ¬ n < m; (ss)

Proof step 61 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, bound /↑ 2 < #dirtyrows(mx, i), #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), #dirtyrows(mx0, i) ≤ bound, ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule weakening

And obtained the following new goals

Rule argument

poslist: left 7, left 12

Additional information

Proof step 62 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:max0column-countcol, seq:#r mx = #r mx0, #c mx = #c mx0, c < #c mx, c0 < #c mx, scolsorted(mx, #c mx, mx0), ∀ c. c < #c mx → count(mx[c]c, λ j. j < i) ≤ count(mx[c0]c, λ j. j < i) ⊦ count(mx[c]c, λ j. j < i) = #clean0rows(mx0, i) + count(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), subst:[c0, mx0, c, mx, i] → [c, mx0, c, mx, i], <all paths>

Additional information

Used terms: c, mx0, c, mx, i

Proof step 63 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#r mx = #r mx0, #c mx = #c mx0, c < #c mx, c0 < #c mx, scolsorted(mx, #c mx, mx0), ∀ c. c < #c mx → count(mx[c]c, λ j. j < i) ≤ count(mx[c0]c, λ j. j < i) ⊦ count(mx[c]c, λ j. j < i) = #clean0rows(mx0, i) + count(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)

Lemma max0column-countcol

Proof step 64 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, c < #c mx, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦ #r mx = #r mx0 ∧ #c mx = #c mx0 ∧ c < #c mx ∧ c < #c mx ∧ scolsorted(mx, #c mx, mx0) ∧ (∀ c1. c1 < #c mx → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i))

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic lf-02: ⊦ m < n ∧ m = n0 → n0 < n; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic ⊦ m ≤ n ↔ ¬ n < m; (ss)

Proof step 65 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx0 = #c mx, #r mx0 = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) = count(mx[c]c, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) < count(mx[c1]c, λ j. j < i), c1 < #c mx, c < #c mx, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic quantifier closing applied rule all left

And closed the goal!

Rule argument

pos: left 13 terms: c1

Additional information

Used simplifier rules: ⊦ m < n → (n ≤ m ↔ false); (s) Used terms: c1

Proof step 66 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + count(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx, scolsorted(mx, #c mx, mx0), srowsorted(mx0, #r mx, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ c1. c1 < #c mx → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m < n → n ≠ 0; (s) lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic

Proof step 67 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + count(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx0, scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:count-add-even-odd-ind, seq:m ≤ n, n ≤ # a ⊦ countevn(a, m, n, p) + countodd(a, m, n, p) = count(a, m, n, p), subst:[a, m, n, p] → [mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i], <rotated> <all paths>

Additional information

Used simplifier rules: clean0rows-bounded: ⊦ ¬ #r mx < #clean0rows(mx, i); ⊦ # mx[c]c = #r mx; (s) ⊦ m ≤ m; (s) ⊦ m ≤ n ↔ ¬ n < m; (ss) Used terms: mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i

Proof step 68 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

m ≤ n, n ≤ # a ⊦ countevn(a, m, n, p) + countodd(a, m, n, p) = count(a, m, n, p)

Lemma count-add-even-odd-ind

Proof step 69 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), c < #c mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) ≤ #clean0rows(mx, i), #clean0rows(mx0, i) ≤ #r mx0, #r mx0 ≤ # mx0[c]c, ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: ⊦ m ≤ m; (s) ⊦ # mx[c]c = #r mx; (s)

Proof step 70 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx0, scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), #clean0rows(mx0, i) ≤ #r mx0, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) ≤ #clean0rows(mx, i), ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:countevn-maxcol0-bounded, seq:c0 < #c mx0 ⊦ countevn(mx0[c0]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, subst:[c0, mx0, i] → [c, mx0, i]

Additional information

Used terms: c, mx0, i

Proof step 71 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

c0 < #c mx0 ⊦ countevn(mx0[c0]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2

Lemma countevn-maxcol0-bounded

Proof step 72 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), c < #c mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) ≤ #clean0rows(mx, i), #clean0rows(mx0, i) ≤ #r mx0, countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule apply lemma

And obtained the following new goals

Rule argument

spec: <toplevel>, name:countodd-maxcol0-bounded, seq:c0 < #c mx0 ⊦ countodd(mx0[c0]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, subst:[c0, mx0, i] → [c, mx0, i]

Additional information

Used terms: c, mx0, i

Proof step 73 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

c0 < #c mx0 ⊦ countodd(mx0[c0]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2

Lemma countodd-maxcol0-bounded

Proof step 74 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx0, scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) ≤ #r mx0, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) ≤ #clean0rows(mx, i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: fle-01: ⊦ m ≤ n ∧ n < n0 → m < n0; (forward) from specification nat

Proof step 75 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), c < #c mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) ≤ #clean0rows(mx, i), #clean0rows(mx0, i) ≤ #r mx0, countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: nat, name:le-addex, seq: ⊦ m ≤ n ↔ (∃ n0. m + n0 = n), subst:[m, n] → [ #clean0rows(mx0, i) + min (countevn (mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd (mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)), #clean0rows(mx, i)], <all paths>

Additional information

Used terms: #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)), #clean0rows(mx, i)

Proof step 76 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ m ≤ n ↔ (∃ n0. m + n0 = n)

A spec-lemma

Proof step 77 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx0, scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) ≤ #r mx0, countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i), ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∃ n0. ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0 = #clean0rows(mx, i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Proof step 78 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0 = #clean0rows(mx, i), #dirtyrows(mx, i) + #clean0rows(mx, i) + #clean1rows(mx, i) = #r mx0, #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + #clean0rows(mx, i) = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), c < #c mx0, #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) ≤ #r mx0, countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i), ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + #clean0rows(mx, i) ⊦

User applied rule subst equation

And obtained the following new goals

Rule argument

pos: left 3, flags: rotate, discard

Additional information

Proof step 79 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx, i) + ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0 = #clean0rows(mx0, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + ( ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0) + #clean1rows(mx, i) = #r mx0, countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx0, scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) ≤ #r mx0, countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0, ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

Heuristic simplifier applied rule simplifier

And obtained the following new goals

Rule argument

Additional information

Used simplifier rules: c: ⊦ m + n = n + m; from specification nat-basic a: ⊦ (m + n0) + n1 = m + n0 + n1; from specification nat-basic eqs: ⊦ m = n + n0 ∧ m = n + n1 → n0 = n1; (forward) from specification nat-basic ⊦ m + n = m + n0 ↔ n = n0; (s)

Proof step 80 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

#c mx = #c mx0, #r mx = #r mx0, #dirtyrows(mx0, i) + #clean1rows(mx0, i) = #clean1rows(mx, i) + countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx, i) + min(countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)) + n0 = countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) + countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), #dirtyrows(mx0, i) + #clean0rows(mx0, i) + #clean1rows(mx0, i) = #r mx0, #dirtyrows(mx, i) + ( ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0) + #clean1rows(mx, i) = #r mx0, countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) < #dirtyrows(mx, i), #dirtyrows(mx0, i) /↑ 2 < #dirtyrows(mx, i), c < #c mx0, scolsorted(mx, #c mx0, mx0), srowsorted(mx0, #r mx0, mx0), countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, #clean0rows(mx0, i) ≤ #r mx0, countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i) ≤ #dirtyrows(mx0, i) /↑ 2, ∀ c0. c0 < #c mx0 → count(mx[c0]c, λ j. j < i) ≤ #dirtyrows(mx, i) + ( #clean0rows(mx0, i) + min (countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i))) + n0, ∀ c1. c1 < #c mx0 → count(mx[c1]c, λ j. j < i) ≤ count(mx[c]c, λ j. j < i) ⊦

User applied rule apply rewrite lemma

And obtained the following new goals

Rule argument

spec: nat-even, name:Min-left, seq: ⊦ m < n → min(m, n) = m, subst:[m, n] → [countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)], <all paths>

Additional information

Used simplifier rules: ⊦ m + n = m + n0 ↔ n = n0; (s) eqs: ⊦ m = n + n0 ∧ m = n + n1 → n0 = n1; (forward) from specification nat-basic f: ⊦ m < n → n ≠ 0; (forward) from specification nat-basic lf: ⊦ m < n ∧ n < n0 → m +1 < n0; (forward) from specification nat-basic lf-01: ⊦ m < n ∧ n = n0 → m < n0; (forward) from specification nat-basic fle: ⊦ m < n ∧ n ≤ n0 → m < n0; (forward) from specification nat fle-01: ⊦ m ≤ n ∧ n < n0 → m < n0; (forward) from specification nat ⊦ m < n → n ≠ 0; (s) ⊦ m +1 = m + 1; (s) ⊦ ¬ m + n < m; (s) a: ⊦ (m + n0) + n1 = m + n0 + n1; from specification nat-basic c: ⊦ m + n = n + m; from specification nat-basic ⊦ ¬ m < n → min(m, n) = n; (s) min-a: ⊦ min(m, min(n, n0)) = min(min(m, n), n0); from specification nat-even min-c: ⊦ min(m, n) = min(n, m); from specification nat-even ⊦ m < n ↔ ¬ n ≤ m; (ss) let: ⊦ n ≤ n0 ∧ n0 ≤ n1 → n ≤ n1; (forward) from specification nat Used terms: countevn(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i), countodd(mx0[c]c, #clean0rows(mx0, i), #r mx0, λ j. j < i)

Proof step 81 from proof scolsort-dirtyboundhalf (previous step) (back to tree)

⊦ m < n → min(m, n) = m

A spec-lemma

Proof Tree for scolsort-dirtyboundhalf (View conclusion)

The following image shows the proof tree of sequent calculus. The proved goal is at the bottom. You can click on the nodes to view additional rules. See here for details on colors in a proof tree.

the proof tree