diff -r a6f3e1b08494 -r b6873d123f9b Tutorial/Tutorial1.thy --- a/Tutorial/Tutorial1.thy Sat May 12 21:05:59 2012 +0100 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,738 +0,0 @@ -header {* - - Nominal Isabelle Tutorial at POPL'11 - ==================================== - - Nominal Isabelle is a definitional extension of Isabelle/HOL, which - means it does not add any new axioms to higher-order logic. It just - adds new definitions and an infrastructure for 'nominal resoning'. - - - The jEdit Interface - ------------------- - - The Isabelle theorem prover comes with an interface for jEdit. - Unlike many other theorem prover interfaces (e.g. ProofGeneral) where you - advance a 'checked' region in a proof script, this interface immediately - checks the whole buffer. The text you type is also immediately checked. - Malformed text or unfinished proofs are highlighted in red with a little - red 'stop' signal on the left-hand side. If you drag the 'red-box' cursor - over a line, the Output window gives further feedback. - - Note: If a section is not parsed correctly, the work-around is to cut it - out and paste it back into the text (cut-out: Ctrl + X; paste in: Ctrl + V; - Cmd is Ctrl on the Mac) - - Nominal Isabelle and jEdit can be started by typing on the command line - - isabelle jedit -l HOL-Nominal2 - isabelle jedit -l HOL-Nominal2 A.thy B.thy ... - - - Symbols - ------- - - Symbols can considerably improve the readability of your statements and proofs. - They can be input by just typing 'name-of-symbol' where 'name-of-symbol' is the - usual latex name of that symbol. A little window will then appear in which - you can select the symbol. With `Escape' you can ignore any suggestion. - - There are some handy short-cuts for frequently used symbols. - For example - - short-cut symbol - - => \ - ==> \ - --> \ - ! \ - ? \ - /\ \ - \/ \ - ~ \ - ~= \ - : \ - ~: \ - - For nominal the following two symbols have a special meaning - - \ sharp (freshness) - \ bullet (permutation application) -*} - - -theory Tutorial1 -imports Lambda -begin - -section {* Theories *} - -text {* - All formal developments in Isabelle are part of a theory. A theory - needs to have a name and must import some pre-existing theory. The - imported theory will normally be Nominal2 (which provides many useful - concepts like set-theory, lists, nominal things etc). For the purpose - of this tutorial we import the theory Lambda.thy, which contains - already some useful definitions for (alpha-equated) lambda terms. -*} - - - -section {* Types *} - -text {* - Isabelle is based on simple types including some polymorphism. It also - includes overloading, which means that sometimes explicit type annotations - need to be given. - - - Base types include: nat, bool, string, lam (defined in the Lambda theory) - - - Type formers include: 'a list, ('a \ 'b), 'c set - - - Type variables are written like in ML with an apostrophe: 'a, 'b, \ - - Types known to Isabelle can be queried using the command "typ". -*} - -typ nat -typ bool -typ string -typ lam -- {* alpha-equated lambda terms defined in Lambda.thy *} -typ name -- {* type of (object) variables defined in Lambda.thy *} -typ "('a \ 'b)" -- {* pair type *} -typ "'c set" -- {* set type *} -typ "'a list" -- {* list type *} -typ "lam \ nat" -- {* type of functions from lambda terms to natural numbers *} - - -text {* Some malformed types - note the "stop" signal on the left margin *} - -(* -typ boolean -- {* undeclared type *} -typ set -- {* type argument missing *} -*) - - -section {* Terms *} - -text {* - Every term in Isabelle needs to be well-typed. However they can have - polymorphic type. Whether a term is accepted can be queried using - the command "term". -*} - -term c -- {* a variable of polymorphic type *} -term "1::nat" -- {* the constant 1 in natural numbers *} -term 1 -- {* the constant 1 with polymorphic type *} -term "{1, 2, 3::nat}" -- {* the set containing natural numbers 1, 2 and 3 *} -term "[1, 2, 3]" -- {* the list containing the polymorphic numbers 1, 2 and 3 *} -term "(True, ''c'')" -- {* a pair consisting of the boolean true and the string "c" *} -term "Suc 0" -- {* successor of 0, in other words 1::nat *} -term "Lam [x].Var x" -- {* a lambda-term *} -term "App t1 t2" -- {* another lambda-term *} -term "x::name" -- {* an (object) variable of type name *} -term "atom (x::name)" -- {* atom is an overloded function *} - -text {* - Lam [x].Var is the syntax we made up for lambda abstractions. If you - prefer, you can have your own syntax (but \ is already taken up for - Isabelle's functions). We also came up with the type "name" for variables. - You can introduce your own types of object variables using the - command atom_decl: -*} - -atom_decl ident -atom_decl ty_var - -text {* - Isabelle provides some useful colour feedback about its constants (black), - free variables (blue) and bound variables (green). -*} - -term "True" -- {* a constant defined somewhere...written in black *} -term "true" -- {* not recognised as a constant, therefore it is interpreted - as a free variable, written in blue *} -term "\x. P x" -- {* x is bound (green), P is free (blue) *} - - -text {* Formulae in Isabelle/HOL are terms of type bool *} - -term "True" -term "True \ False" -term "True \ B" -term "{1,2,3} = {3,2,1}" -term "\x. P x" -term "A \ B" -term "atom a \ t" -- {* freshness in Nominal *} - -text {* - When working with Isabelle, one deals with an object logic (that is HOL) and - Isabelle's rule framework (called Pure). Occasionally one has to pay attention - to this fact. But for the moment we ignore this completely. -*} - -term "A \ B" -- {* versus *} -term "A \ B" - -term "\x. P x" -- {* versus *} -term "\x. P x" - - -section {* Inductive Definitions: Evaluation Relation *} - -text {* - In this section we want to define inductively the evaluation - relation and for cbv-reduction relation. - - Inductive definitions in Isabelle start with the keyword "inductive" - and a predicate name. One can optionally provide a type for the predicate. - Clauses of the inductive predicate are introduced by "where" and more than - two clauses need to be separated by "|". One can also give a name to each - clause and indicate that it should be added to the hints database ("[intro]"). - A typical clause has some premises and a conclusion. This is written in - Isabelle as: - - "premise \ conclusion" - "premise1 \ premise2 \ \ premisen \ conclusion" - - There is an alternative way of writing the latter clause as - - "\premise1; premise2; \ premisen\ \ conclusion" - - If no premise is present, then one just writes - - "conclusion" - - Below we give two definitions for the transitive closure -*} - -inductive - eval :: "lam \ lam \ bool" ("_ \ _" [60, 60] 60) -where - e_Lam[intro]: "Lam [x].t \ Lam [x].t" -| e_App[intro]: "\t1 \ Lam [x].t; t2 \ v'; t[x::=v'] \ v\ \ App t1 t2 \ v" - -text {* - Values and cbv are also defined using inductive. -*} - -inductive - val :: "lam \ bool" -where - v_Lam[intro]: "val (Lam [x].t)" - -section {* Theorems *} - -text {* - A central concept in Isabelle is that of theorems. Isabelle's theorem - database can be queried using -*} - -thm e_App -thm e_Lam -thm conjI -thm conjunct1 - -text {* - Notice that theorems usually contain schematic variables (e.g. ?P, ?Q, \). - These schematic variables can be substituted with any term (of the right type - of course). - - When defining the predicates beta_star, Isabelle provides us automatically - with the following theorems that state how they can be introduced and what - constitutes an induction over them. -*} - -thm eval.intros -thm eval.induct - - -section {* Lemmas / Theorems / Corollaries *} - -text {* - Whether to use lemma, theorem or corollary makes no semantic difference - in Isabelle. - - A lemma starts with "lemma" and consists of a statement ("shows \") and - optionally a lemma name, some type-information for variables ("fixes \") - and some assumptions ("assumes \"). - - Lemmas also need to have a proof, but ignore this 'detail' for the moment. - - Examples are -*} - -lemma alpha_equ: - shows "Lam [x].Var x = Lam [y].Var y" - by (simp add: lam.eq_iff Abs1_eq_iff lam.fresh fresh_at_base) - -lemma Lam_freshness: - assumes a: "atom y \ Lam [x].t" - shows "(y = x) \ (y \ x \ atom y \ t)" - using a by (auto simp add: lam.fresh Abs_fresh_iff) - -lemma neutral_element: - fixes x::"nat" - shows "x + 0 = x" - by simp - -text {* - Note that in the last statement, the explicit type annotation is important - in order for Isabelle to be able to figure out what 0 stands for (e.g. a - natural number, a vector, etc) and which lemmas to apply. -*} - - -section {* Isar Proofs *} - -text {* - Isar is a language for writing formal proofs that can be understood by humans - and by Isabelle. An Isar proof can be thought of as a sequence of 'stepping stones' - that start with some assumptions and lead to the goal to be established. Every such - stepping stone is introduced by "have" followed by the statement of the stepping - stone. An exception is the goal to be proved, which need to be introduced with "show". - - have "statement" \ - show "goal_to_be_proved" \ - - Since proofs usually do not proceed in a linear fashion, labels can be given - to every stepping stone and they can be used later to explicitly refer to this - corresponding stepping stone ("using"). - - have label: "statement1" \ - \ - have "later_statement" using label \ - - Each stepping stone (or have-statement) needs to have a justification. The - simplest justification is "sorry" which admits any stepping stone, even false - ones (this is good during the development of proofs). - - have "outrageous_false_statement" sorry - - Assumptions can be 'justified' using "by fact". - - have "assumption" by fact - - Derived facts can be justified using - - have "statement" by simp -- simplification - have "statement" by auto -- proof search and simplification - have "statement" by blast -- only proof search - - If facts or lemmas are needed in order to justify a have-statement, then - one can feed these facts into the proof by using "using label \" or - "using theorem-name \". More than one label at a time is allowed. For - example - - have "statement" using label1 label2 theorem_name by auto - - Induction proofs in Isar are set up by indicating over which predicate(s) - the induction proceeds ("using a b") followed by the command "proof (induct)". - In this way, Isabelle uses defaults for which induction should be performed. - These defaults can be overridden by giving more information, like the variable - over which a structural induction should proceed, or a specific induction principle, - such as well-founded inductions. - - After the induction is set up, the proof proceeds by cases. In Isar these - cases can be given in any order. Most commonly they are started with "case" and the - name of the case, and optionally some legible names for the variables used inside - the case. - - In each "case", we need to establish a statement introduced by "show". Once - this has been done, the next case can be started using "next". When all cases - are completed, the proof can be finished using "qed". - - This means a typical induction proof has the following pattern - - proof (induct) - case \ - \ - show \ - next - case \ - \ - show \ - \ - qed - - Two very simple example proofs are as follows. -*} - -subsection {* EXERCISE 1 *} - -lemma eval_val: - assumes a: "val t" - shows "t \ t" -using a -proof (induct) - case (v_Lam x t) - show "Lam [x]. t \ Lam [x]. t" sorry -qed - -subsection {* EXERCISE 2 *} - -text {* Fill the gaps in the proof below. *} - -lemma eval_to_val: - assumes a: "t \ t'" - shows "val t'" -using a -proof (induct) - case (e_Lam x t) - show "val (Lam [x].t)" sorry -next - case (e_App t1 x t t2 v v') - -- {* all assumptions in this case *} - have "t1 \ Lam [x].t" by fact - have ih1: "val (Lam [x]. t)" by fact - have "t2 \ v" by fact - have ih2: "val v" by fact - have "t [x ::= v] \ v'" by fact - have ih3: "val v'" by fact - - show "val v'" sorry -qed - - -section {* Datatypes: Evaluation Contexts*} - -text {* - Datatypes can be defined in Isabelle as follows: we have to provide the name - of the datatype and a list its type-constructors. Each type-constructor needs - to have the information about the types of its arguments, and optionally - can also contain some information about pretty syntax. For example, we like - to write "\" for holes. -*} - -datatype ctx = - Hole ("\") - | CAppL "ctx" "lam" - | CAppR "lam" "ctx" - -text {* Now Isabelle knows about: *} - -typ ctx -term "\" -term "CAppL" -term "CAppL \ (Var x)" - -subsection {* MINI EXERCISE *} - -text {* - Try and see what happens if you apply a Hole to a Hole? -*} - - -section {* Machines for Evaluation *} - -type_synonym ctxs = "ctx list" - -inductive - machine :: "lam \ ctxs \lam \ ctxs \ bool" ("<_,_> \ <_,_>" [60, 60, 60, 60] 60) -where - m1: " \ t2) # Es>" -| m2: "val v \ t2) # Es> \ ) # Es>" -| m3: "val v \ ) # Es> \ " - -text {* - Since the machine defined above only performs a single reduction, - we need to define the transitive closure of this machine. *} - -inductive - machines :: "lam \ ctxs \ lam \ ctxs \ bool" ("<_,_> \* <_,_>" [60, 60, 60, 60] 60) -where - ms1: " \* " -| ms2: "\ \ ; \* \ \ \* " - -declare machine.intros[intro] machines.intros[intro] - -section {* EXERCISE 3 *} - -text {* - We need to show that the machines-relation is transitive. - Fill in the gaps below. -*} - -lemma ms3[intro]: - assumes a: " \* " - and b: " \* " - shows " \* " -using a b -proof(induct) - case (ms1 e1 Es1) - have c: " \* " by fact - - show " \* " sorry -next - case (ms2 e1 Es1 e2 Es2 e2' Es2') - have ih: " \* \ \* " by fact - have d1: " \* " by fact - have d2: " \ " by fact - - show " \* " sorry -qed - -text {* - Just like gotos in the Basic programming language, labels often reduce - the readability of proofs. Therefore one can use in Isar the notation - "then have" in order to feed a have-statement to the proof of - the next have-statement. This is used in teh second case below. -*} - -lemma - assumes a: " \* " - and b: " \* " - shows " \* " -using a b -proof(induct) - case (ms1 e1 Es1) - show " \* " by fact -next - case (ms2 e1 Es1 e2 Es2 e2' Es2') - have ih: " \* \ \* " by fact - have " \* " by fact - then have d3: " \* " using ih by simp - have d2: " \ " by fact - show " \* " using d2 d3 by auto -qed - -text {* - The label ih2 cannot be got rid of in this way, because it is used - two lines below and we cannot rearange them. We can still avoid the - label by feeding a sequence of facts into a proof using the - "moreover"-chaining mechanism: - - have "statement_1" \ - moreover - have "statement_2" \ - \ - moreover - have "statement_n" \ - ultimately have "statement" \ - - In this chain, all "statement_i" can be used in the proof of the final - "statement". With this we can simplify our proof further to: -*} - -lemma - assumes a: " \* " - and b: " \* " - shows " \* " -using a b -proof(induct) - case (ms1 e1 Es1) - show " \* " by fact -next - case (ms2 e1 Es1 e2 Es2 e2' Es2') - have ih: " \* \ \* " by fact - have " \* " by fact - then have " \* " using ih by simp - moreover - have " \ " by fact - ultimately show " \* " by auto -qed - - -text {* - While automatic proof procedures in Isabelle are not able to prove statements - like "P = NP" assuming usual definitions for P and NP, they can automatically - discharge the lemmas we just proved. For this we only have to set up the induction - and auto will take care of the rest. This means we can write: -*} - -lemma - assumes a: "val t" - shows "t \ t" -using a by (induct) (auto) - -lemma - assumes a: "t \ t'" - shows "val t'" -using a by (induct) (auto) - -lemma - assumes a: " \* " - and b: " \* " - shows " \* " -using a b by (induct) (auto) - - -section {* EXERCISE 4 *} - -text {* - The point of the machine is that it simulates the evaluation - relation. Therefore we like to prove the following: -*} - -theorem - assumes a: "t \ t'" - shows " \* " -using a -proof (induct) - case (e_Lam x t) - -- {* no assumptions *} - show " \* " by auto -next - case (e_App t1 x t t2 v' v) - -- {* all assumptions in this case *} - have a1: "t1 \ Lam [x].t" by fact - have ih1: " \* " by fact - have a2: "t2 \ v'" by fact - have ih2: " \* " by fact - have a3: "t[x::=v'] \ v" by fact - have ih3: " \* " by fact - - -- {* your reasoning *} - show " \* " sorry -qed - - -text {* - Again the automatic tools in Isabelle can discharge automatically - of the routine work in these proofs. We can write: -*} - -theorem eval_implies_machines_ctx: - assumes a: "t \ t'" - shows " \* " -using a -by (induct arbitrary: Es) - (metis eval_to_val machine.intros ms1 ms2 ms3 v_Lam)+ - -corollary eval_implies_machines: - assumes a: "t \ t'" - shows " \* " -using a eval_implies_machines_ctx by simp - - -section {* Function Definitions: Filling a Lambda-Term into a Context *} - -text {* - Many functions over datatypes can be defined by recursion on the - structure. For this purpose, Isabelle provides "fun". To use it one needs - to give a name for the function, its type, optionally some pretty-syntax - and then some equations defining the function. Like in "inductive", - "fun" expects that more than one such equation is separated by "|". -*} - -fun - filling :: "ctx \ lam \ lam" ("_\_\" [100, 100] 100) -where - "\\t\ = t" -| "(CAppL E t')\t\ = App (E\t\) t'" -| "(CAppR t' E)\t\ = App t' (E\t\)" - - -text {* - After this definition Isabelle will be able to simplify - statements like: -*} - -lemma - shows "(CAppL \ (Var x))\Var y\ = App (Var y) (Var x)" - by simp - -fun - ctx_compose :: "ctx \ ctx \ ctx" (infixr "\" 99) -where - "\ \ E' = E'" -| "(CAppL E t') \ E' = CAppL (E \ E') t'" -| "(CAppR t' E) \ E' = CAppR t' (E \ E')" - -fun - ctx_composes :: "ctxs \ ctx" ("_\" [110] 110) -where - "[]\ = \" - | "(E # Es)\ = (Es\) \ E" - -text {* - Notice that we not just have given a pretty syntax for the functions, but - also some precedences. The numbers inside the [\] stand for the precedences - of the arguments; the one next to it the precedence of the whole term. - - This means we have to write (Es1 \ Es2) \ Es3 otherwise Es1 \ Es2 \ Es3 is - interpreted as Es1 \ (Es2 \ Es3). -*} - -section {* Structural Inductions over Contexts *} - -text {* - So far we have had a look at an induction over an inductive predicate. - Another important induction principle is structural inductions for - datatypes. To illustrate structural inductions we prove some facts - about context composition, some of which we will need later on. -*} - -subsection {* EXERCISE 5 *} - -text {* Complete the proof and remove the sorries. *} - -lemma ctx_compose: - shows "(E1 \ E2)\t\ = E1\E2\t\\" -proof (induct E1) - case Hole - show "(\ \ E2)\t\ = \\E2\t\\" sorry -next - case (CAppL E1 t') - have ih: "(E1 \ E2)\t\ = E1\E2\t\\" by fact - show "((CAppL E1 t') \ E2)\t\ = (CAppL E1 t')\E2\t\\" sorry -next - case (CAppR t' E1) - have ih: "(E1 \ E2)\t\ = E1\E2\t\\" by fact - show "((CAppR t' E1) \ E2)\t\ = (CAppR t' E1)\E2\t\\" sorry -qed - - -subsection {* EXERCISE 6 *} - -text {* - Remove the sorries in the ctx_append proof below. You can make - use of the following two properties. -*} - -lemma neut_hole: - shows "E \ \ = E" -by (induct E) (simp_all) - -lemma compose_assoc: - shows "(E1 \ E2) \ E3 = E1 \ (E2 \ E3)" -by (induct E1) (simp_all) - -lemma - shows "(Es1 @ Es2)\ = (Es2\) \ (Es1\)" -proof (induct Es1) - case Nil - show "([] @ Es2)\ = Es2\ \ []\" sorry -next - case (Cons E Es1) - have ih: "(Es1 @ Es2)\ = Es2\ \ Es1\" by fact - - show "((E # Es1) @ Es2)\ = Es2\ \ (E # Es1)\" sorry -qed - -text {* - The last proof involves several steps of equational reasoning. - Isar provides some convenient means to express such equational - reasoning in a much cleaner fashion using the "also have" - construction. -*} - -lemma - shows "(Es1 @ Es2)\ = (Es2\) \ (Es1\)" -proof (induct Es1) - case Nil - show "([] @ Es2)\ = Es2\ \ []\" using neut_hole by simp -next - case (Cons E Es1) - have ih: "(Es1 @ Es2)\ = Es2\ \ Es1\" by fact - have "((E # Es1) @ Es2)\ = (E # (Es1 @ Es2))\" by simp - also have "\ = (Es1 @ Es2)\ \ E" by simp - also have "\ = (Es2\ \ Es1\) \ E" using ih by simp - also have "\ = Es2\ \ (Es1\ \ E)" using compose_assoc by simp - also have "\ = Es2\ \ (E # Es1)\" by simp - finally show "((E # Es1) @ Es2)\ = Es2\ \ (E # Es1)\" by simp -qed - - -end -