[英]Is it possible to add assumptions to the domain of a function in Isabelle?
我不確定是否可以發布這樣的后續問題,但無論如何我都會這樣做。
所以幾天前我發布了這個問題: 如何刪除 Isabelle 中所有出現的子多重集?
我認為答案很好,但是在試圖證明引理時
lemma "applied1 {#''a'',''a'',''d'',''c'',''a'',''a'',''d'',''c''#} {#''a'',''a'',''c''#} ''f'' = {#''f'',''f'',''d'',''d''#}"
我真的卡住了。 我發現在展開 def 並應用一些簡單的自動化之后我不能簡單地做到這一點。 所以我回到我原來的 function 並對其進行了一些調整,如果輸入導致無限循環,它不會返回任何內容。 我以為這次會奏效,但伊莎貝爾仍然無法證明終止。 我很確定很明顯, size x
以size y
的倍數不斷減小並且不能為負數,因此當size x = 0
或 y 不再是 x 的子集時,它最終必須終止。
fun applied2 :: "'a multiset ⇒ 'a multiset ⇒ 'a ⇒ 'a multiset option" where
"applied2 x y z = (if z ∈# y ∨ y = {#} then None else (if y ⊆# x then Some (plus {#z#} (the (applied2 (x - y) y z))) else Some x))"
是否有可能說服 Isabelle 這個 function 使用function
而不是fun
終止? 還是我必須考慮其他限制?
如果我不應該發布這樣的問題,我真的很抱歉。 我對 Isabelle 仍然缺乏經驗,我希望我能堅持自己的目標,盡可能地學習這門語言。 提前致謝!
我相信查看 文檔會為您提供正確的語法。
function applied2 :: "'a multiset ⇒ 'a multiset ⇒ 'a ⇒ 'a multiset option" where
"applied2 x y z = (if z ∈# y ∨ y = {#} then None else (if y ⊆# x then Some (plus {#z#} (the (applied2 (x - y) y z))) else Some x))"
by pat_completeness auto
termination
by (relation "measure (λ(x,y,z). size x)")
(auto simp: mset_subset_eq_exists_conv nonempty_has_size)
如果問題是證據,大錘會為你找到它。
但是,我看不出您打算如何將 go 從應用 2 轉換為您真正想要的 function。 真正的問題是確定性:您需要一個順序來查看子集。 Manuel 的解決方案是使用 Sup,但這確實是不可執行的。
如果您對非遞歸定義的唯一問題是如何將其應用於具體輸入,我仍然認為我所說的可執行的替代定義是 go 的方式。 這是一個證明我給出的兩個非遞歸定義是等價的,以及您上面給出的示例的應用程序:
definition applied :: "'a multiset ⇒ 'a multiset ⇒ 'a ⇒ 'a multiset" where
"applied ms xs y = (if xs = {#} then ms else
(let n = Max {n. repeat_mset n xs ⊆# ms}
in ms - repeat_mset n xs + replicate_mset n y))"
lemma count_le_size: "count M x ≤ size M"
by (induction M) auto
lemma applied_code [code]:
"applied ms xs y = (if xs = {#} then ms else
(let n = (MIN x ∈set_mset xs. count ms x div count xs x)
in ms - repeat_mset n xs + replicate_mset n y))"
unfolding applied_def
proof (intro if_cong let_cong refl)
assume ne: "xs ≠ {#}"
have subset: "{n. repeat_mset n xs ⊆# ms} ⊆ {..size ms}"
proof safe
fix n assume n: "repeat_mset n xs ⊆# ms"
from ne obtain x where x: "x ∈# xs"
by auto
have "n * 1 ≤ n * count xs x"
using x by (intro mult_left_mono) auto
also have "… = count (repeat_mset n xs) x"
by simp
also have "… ≤ count ms x"
using n by (intro mset_subset_eq_count)
also have "… ≤ size ms"
by (rule count_le_size)
finally show "n ≤ size ms" by simp
qed
hence finite: "finite {n. repeat_mset n xs ⊆# ms}"
by (rule finite_subset) auto
show "Max {n. repeat_mset n xs ⊆# ms} = (MIN x∈set_mset xs. count ms x div count xs x)"
proof (intro antisym)
show "Max {n. repeat_mset n xs ⊆# ms} ≤ (MIN x∈set_mset xs. count ms x div count xs x)"
proof (rule Max.boundedI)
show "{n. repeat_mset n xs ⊆# ms} ≠ {}"
by (auto intro: exI[of _ 0])
next
fix n assume n: "n ∈ {n. repeat_mset n xs ⊆# ms}"
show "n ≤ (MIN x∈set_mset xs. count ms x div count xs x)"
proof (safe intro!: Min.boundedI)
fix x assume x: "x ∈# xs"
have "count (repeat_mset n xs) x ≤ count ms x"
using n by (intro mset_subset_eq_count) auto
also have "count (repeat_mset n xs) x = n * count xs x"
by simp
finally show "n ≤ count ms x div count xs x"
by (metis count_eq_zero_iff div_le_mono nonzero_mult_div_cancel_right x)
qed (use ne in auto)
qed (fact finite)
next
define m where "m = (MIN x∈set_mset xs. count ms x div count xs x)"
show "m ≤ Max {n. repeat_mset n xs ⊆# ms}"
proof (rule Max.coboundedI[OF finite], safe)
show "repeat_mset m xs ⊆# ms"
proof (rule mset_subset_eqI)
fix x
show "count (repeat_mset m xs) x ≤ count ms x"
proof (cases "x ∈# xs")
case True
have "count (repeat_mset m xs) x = m * count xs x"
by simp
also have "… ≤ (count ms x div count xs x) * count xs x"
unfolding m_def using ‹x ∈# xs› by (intro mult_right_mono Min.coboundedI) auto
also have "… ≤ count ms x"
by simp
finally show ?thesis .
next
case False
hence "count xs x = 0"
by (meson not_in_iff)
thus ?thesis by simp
qed
qed
qed
qed
qed
lemma replicate_mset_unfold:
assumes "n > 0"
shows "replicate_mset n x = {#x#} + replicate_mset (n - 1) x"
using assms by (cases n) auto
lemma
assumes "a ≠ c" "a ≠ f" "c ≠ f"
shows "applied {#a,a,c,a,a,c#} {#a,a,c#} f = mset [f, f]"
using assms
by (simp add: applied_code replicate_mset_unfold flip: One_nat_def)
value
命令不適用於該示例,因為a
、 c
等是自由變量。 但是,如果您例如為它們創建一個臨時數據類型,它就可以工作:
datatype test = a | b | c | f
value "applied {#a,a,c,a,a,c#} {#a,a,c#} f"
(* "mset [f, f]" :: "test multiset" *)
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