src/Doc/How_to_Prove_it/How_to_Prove_it.thy
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(*<*)
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theory How_to_Prove_it
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imports Complex_Main
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begin
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(*>*)
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text\<open>
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\chapter{@{theory Main}}
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\section{Natural numbers}
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%Tobias Nipkow
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\paragraph{Induction rules}~\\
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In addition to structural induction there is the induction rule
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@{thm[source] less_induct}:
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\begin{quote}
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@{thm less_induct}
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\end{quote}
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This is often called ``complete induction''. It is applied like this:
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\begin{quote}
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(\<open>induction n rule: less_induct\<close>)
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\end{quote}
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In fact, it is not restricted to @{typ nat} but works for any wellfounded
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order \<open><\<close>.
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There are many more special induction rules. You can find all of them
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via the Find button (in Isabelle/jedit) with the following search criteria:
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\begin{quote}
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\texttt{name: Nat name: induct}
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\end{quote}
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\paragraph{How to convert numerals into @{const Suc} terms}~\\
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Solution: simplify with the lemma @{thm[source] numeral_eq_Suc}.
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\noindent
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Example:
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\<close>
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lemma fixes x :: int shows "x ^ 3 = x * x * x"
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by (simp add: numeral_eq_Suc)
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text\<open>This is a typical situation: function ``\<open>^\<close>'' is defined
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by pattern matching on @{const Suc} but is applied to a numeral.
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Note: simplification with @{thm[source] numeral_eq_Suc} will convert all numerals.
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One can be more specific with the lemmas @{thm [source] numeral_2_eq_2}
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(@{thm numeral_2_eq_2}) and @{thm[source] numeral_3_eq_3} (@{thm numeral_3_eq_3}).
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\section{Lists}
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%Tobias Nipkow
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\paragraph{Induction rules}~\\
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In addition to structural induction there are a few more induction rules
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that come in handy at times:
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\begin{itemize}
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\item
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Structural induction where the new element is appended to the end
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of the list (@{thm[source] rev_induct}):
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@{thm rev_induct}
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\item Induction on the length of a list (@{thm [source] length_induct}):
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@{thm length_induct}
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\item Simultaneous induction on two lists of the same length (@{thm [source] list_induct2}):
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@{thm[display,margin=60] list_induct2}
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\end{itemize}
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%Tobias Nipkow
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\section{Algebraic simplification}
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On the numeric types @{typ nat}, @{typ int} and @{typ real},
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proof method \<open>simp\<close> and friends can deal with a limited amount of linear
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arithmetic (no multiplication except by numerals) and method \<open>arith\<close> can
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handle full linear arithmetic (on @{typ nat}, @{typ int} including quantifiers).
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But what to do when proper multiplication is involved?
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At this point it can be helpful to simplify with the lemma list
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@{thm [source] algebra_simps}. Examples:
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\<close>
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lemma fixes x :: int
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  shows "(x + y) * (y - z) = (y - z) * x + y * (y-z)"
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by(simp add: algebra_simps)
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lemma fixes x :: "'a :: comm_ring"
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  shows "(x + y) * (y - z) = (y - z) * x + y * (y-z)"
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by(simp add: algebra_simps)
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text\<open>
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Rewriting with @{thm[source] algebra_simps} has the following effect:
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terms are rewritten into a normal form by multiplying out,
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rearranging sums and products into some canonical order.
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In the above lemma the normal form will be something like
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@{term"x*y + y*y - x*z - y*z"}.
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This works for concrete types like @{typ int} as well as for classes like
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@{class comm_ring} (commutative rings). For some classes (e.g.\ @{class ring}
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and @{class comm_ring}) this yields a decision procedure for equality.
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Additional function and predicate symbols are not a problem either:
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\<close>
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lemma fixes f :: "int \<Rightarrow> int" shows "2 * f(x*y) - f(y*x) < f(y*x) + 1"
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by(simp add: algebra_simps)
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text\<open>Here @{thm[source]algebra_simps} merely has the effect of rewriting
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@{term"y*x"} to @{term"x*y"} (or the other way around). This yields
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a problem of the form @{prop"2*t - t < t + (1::int)"} and we are back in the
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realm of linear arithmetic.
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Because @{thm[source]algebra_simps} multiplies out, terms can explode.
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If one merely wants to bring sums or products into a canonical order
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it suffices to rewrite with @{thm [source] ac_simps}:\<close>
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lemma fixes f :: "int \<Rightarrow> int" shows "f(x*y*z) - f(z*x*y) = 0"
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by(simp add: ac_simps)
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text\<open>The lemmas @{thm[source]algebra_simps} take care of addition, subtraction
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and multiplication (algebraic structures up to rings) but ignore division (fields).
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The lemmas @{thm[source]field_simps} also deal with division:
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\<close>
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lemma fixes x :: real shows "x+z \<noteq> 0 \<Longrightarrow> 1 + y/(x+z) = (x+y+z)/(x+z)"
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by(simp add: field_simps)
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text\<open>Warning: @{thm[source]field_simps} can blow up your terms
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beyond recognition.\<close>
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(*<*)
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end
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(*>*)