Theory Sorts

(*
  Sorts.thy
  Mike Stannett 2012-2023
*)

section ‹Sorts›

text ‹GenRel is a 2-sorted first-order logic. This theory introduces the two sorts and
proves a number of basic arithmetical results. The two sorts are Bodies 
(things that can move) and Quantities (used to specify coordinates, masses, etc).›


theory Sorts
  imports Main
begin


subsection ‹Bodies›

text ‹There are two types of Body: photons and observers. We do not assume
a priori that these sorts are disjoint.›

record Body =
  Ph  :: "bool"
  Ob  :: "bool"


subsection ‹Quantities›
text ‹The quantities are assumed to form a linearly ordered field. We may
  sometimes need to assume that the field is also Euclidean, i.e. that
  square roots exist, but this is not a general requirement so it
  will be added later using a separate axiom class, AxEField.
›
class Quantities = linordered_field
begin


abbreviation inRangeOO :: "'a  'a  'a  bool" (‹_ < _ < _›) 
  where "(a < b < c)  (a < b)  (b < c)"

abbreviation inRangeOC :: "'a  'a  'a  bool" (‹_ < _  _›) 
  where "(a < b  c)  (a < b)  (b  c)"

abbreviation inRangeCO :: "'a  'a  'a  bool" (‹_  _ < _›) 
  where "(a  b < c)  (a  b)  (b < c)"

abbreviation inRangeCC :: "'a  'a  'a  bool" (‹_  _  _›) 
  where "(a  b  c)  (a  b)  (b  c)"


lemma lemLEPlus: "a  b + c  c  a - b" 
  by (simp add: add_commute local.diff_le_eq)


lemma lemMultPosLT1: 
  assumes "(a > 0)  (b  0)  (b < 1)"
  shows "(a * b) < a"
  using assms local.mult_less_cancel_left2 local.not_less by auto


lemma lemAbsRange: "e > 0  ((a-e) < b < (a+e))   (abs (b-a) < e)"
  by (simp add: local.abs_diff_less_iff)

lemma lemAbsNeg: "abs x = abs (-x)" 
  by simp

lemma lemAbsNegNeg: "abs (-a-b) = abs (a+b)" 
  using add_commute local.abs_minus_commute by auto

lemma lemGENZGT: "(x  0)  (x  0)  x > 0" 
  by auto

lemma lemLENZLT: "(x  0)  (x  0)  x < 0" 
  by force

lemma lemSumOfNonNegAndPos: "x  0  y > 0  x+y > 0"
  by (simp add: local.add_strict_increasing2)

lemma lemSumOfTwoHalves: "x = x/2 + x/2"
  using mult_2[of "x/2"] by force

lemma lemDiffDiffAdd: "(b-a)+(c-b) = (c-a)"
  by (auto simp add: field_simps)

lemma lemSumDiffCancelMiddle: "(a - b) + (b - c) = (a - c)"
  by (auto simp add: field_simps)

lemma lemDiffSumCancelMiddle: "(a - b) + (b + c) = (a + c)"
  by (auto simp add: field_simps)

lemma lemMultPosLT: "((0 < a)  (b < c))  (a*b < a*c)"
  using mult_strict_left_mono by auto

lemma lemMultPosLE: "((0 < a)  (b  c))  (a*b  a*c)"
  using mult_left_mono by auto

lemma lemNonNegLT: "((0  a)  (b < c))  (a*b  a*c)"
  using mult_left_mono by auto

lemma lemMultNonNegLE: "((0  a)  (b  c))  (a*b  a*c)"
  using mult_left_mono by auto


abbreviation sqr :: "'a  'a" 
  where "sqr x   x*x"

abbreviation hasRoot :: "'a  bool" 
  where "hasRoot x   r . x = sqr r"

abbreviation isNonNegRoot :: "'a  'a  bool" 
  where "isNonNegRoot x r  (r  0)  (x = sqr r)"

abbreviation hasUniqueRoot :: "'a  bool" 
  where "hasUniqueRoot x  ∃! r . isNonNegRoot x r"

(* May not be defined for some x *)
abbreviation sqrt :: "'a  'a"
  where "sqrt x  THE r . isNonNegRoot x r"


lemma lemAbsIsRootOfSquare: "isNonNegRoot (sqr x) (abs x)"
  by simp

lemma lemSqrt:
  assumes "hasRoot x"
  shows   "hasUniqueRoot x" 
proof -
  obtain r where "x = sqr r" using assms(1) by auto
  define rt where "rt = (if (r  0) then r else (-r))"
  hence rt: "rt  0  sqr rt = x" using rt_def x = sqr r by auto
  hence rtroot: "isNonNegRoot x rt" by auto

  { fix y
    assume yprops: "isNonNegRoot x y"
    hence "y = rt"
      using local.square_eq_iff rt by auto
    hence "(( y  0)  (x = sqr  y))  (y = rt)" by auto
  }
  hence rtunique: " y . isNonNegRoot x y  (y = rt)" by auto
  thus ?thesis using rtroot by auto
qed


lemma lemSqrMonoStrict: assumes "(0  u)  (u < v)"
shows "(sqr u) < (sqr v)"
proof -
  have 1: "(u*u)  (u*v)"  using assms comm_mult_left_mono by auto
  have "(u*v) < (v*v)" 
    using assms mult_commute comm_mult_strict_left_mono by auto
  thus ?thesis using 1 le_less_trans by auto
qed

lemma lemSqrMono: "(0  u)  (u  v)  (sqr u)  (sqr v)" 
  by (simp add: local.mult_mono')


lemma lemSqrOrderedStrict: "(v > 0)  (sqr u < sqr v)  (u < v)"
  using mult_mono[of "v" "u" "v" "u"] by force


lemma lemSqrOrdered: "(v  0)  (sqr u  sqr v)  (u  v)"
  using mult_strict_mono[of "v" "u" "v" "u"] by force

lemma lemSquaredNegative: "sqr x = sqr (-x)" 
  by auto

lemma lemSqrDiffSymmetrical: "sqr (x - y) = sqr (y - x)"
  using lemSquaredNegative[of "y-x"] by auto

lemma lemSquaresPositive: "x  0  sqr x > 0" 
  by (simp add:  lemGENZGT)

lemma lemZeroRoot: "(sqr x = 0)  (x = 0)"
  by simp

lemma lemSqrMult: "sqr (a * b) = (sqr a) * (sqr b)" 
  using mult_commute mult_assoc by simp

lemma lemEqualSquares: "sqr u = sqr v  abs u = abs v" 
  by (metis local.abs_mult_less local.abs_mult_self_eq local.not_less_iff_gr_or_eq)


lemma lemSqrtOfSquare: 
  assumes "b = sqr a"
shows     "sqrt b = abs a" 
proof -
  have "b  0" using assms by auto
  hence conj1: "hasUniqueRoot b" using lemSqrt[of "b"] assms by auto
  moreover have "isNonNegRoot b (abs a)" using lemAbsIsRootOfSquare assms by auto
  ultimately have "sqrt b = abs a" 
    using theI[of "λ r . 0  r  b = sqr r" "abs a"] by blast
  thus ?thesis by auto
qed


lemma lemSquareOfSqrt: 
  assumes "hasRoot b"
and       "a = sqrt b"
shows     "sqr a = b"
proof - 
  obtain r where r: "isNonNegRoot b r" using assms(1) lemSqrt[of "b"] by auto
  hence "x. 0  x  b = sqr x  x = r" using lemSqrt by blast
  hence "a = r" using r assms(2) the_equality[of "isNonNegRoot b" "r"] by blast
  thus ?thesis using r by auto
qed


lemma lemSqrt1: "sqrt 1 = 1"
proof -
  have "isNonNegRoot 1 1" by auto
  moreover have " r . isNonNegRoot 1 r  r = 1"
  proof -
    { fix r assume "isNonNegRoot 1 r"
      hence r: "(r  0)  (1 = sqr r)" by simp
      hence "r = 1" using calculation lemSqrt by blast
    }
    thus ?thesis by blast
  qed
  ultimately show ?thesis using the_equality[of "isNonNegRoot 1" "1"] by blast
qed


lemma lemSqrt0: "sqrt 0 = 0" 
  using lemZeroRoot local.mult_cancel_right1 by blast



lemma lemSqrSum: "sqr (x + y) = (x*x) + (2*x*y) + (y*y)"
proof -
  have "x*y + y*x = x*y + x*y" using mult_commute by simp
  also have "... = (x+x)*y" using distrib_right by simp
  finally have xy: "x*y + y*x = 2*x*y" using mult_2 by auto
  
  have "sqr (x+y) = x*(x+y) + y*(x+y)" using distrib_right by auto
  also have "... = x*x + x*y + y*x + y*y" using distrib_left add_assoc by auto
  finally have "sqr (x+y) = (sqr x) + x*y + y*x + (sqr y)" 
    using distrib_left add_assoc by auto
  
  thus ?thesis using xy add_assoc by auto
qed


lemma lemQuadraticGEZero:
  assumes " x. a*(sqr x) + b*x + c  0"
and       "a > 0"
  shows "(sqr b)  4*a*c"
proof -
  { fix x :: "'a"
    have "a * sqr (x + (b/(2*a))) = a * ((sqr x) + 2*(b/(2*a))*x + (sqr (b/(2*a))))"
      using lemSqrSum[of "x" "(b/(2*a))"] mult_assoc 
            mult_commute[of "x" "(b/(2*a))"]
      by auto
    hence 1: "a * sqr (x + (b/(2*a))) 
             = (a * (sqr x)) + (a*(2*(b/(2*a))*x)) + (a * sqr (b/(2*a)))"
      using distrib_left by auto
    have "a*(2*(b/(2*a))*x) = b*x" using mult_assoc assms(2) by simp

    hence 2: "a * sqr (x + (b/(2*a))) = a*(sqr x) + (b*x) + (a * sqr (b/(2*a)))"
      using 1 by auto

    have "(a * sqr (b/(2*a))) = c + ((a * sqr (b/(2*a))) - c)" 
      using add_commute diff_add_cancel by auto
    hence "(a * sqr (x + (b/(2*a)))) 
      = (a*(sqr x) + (b*x) + c) + ((a * sqr (b/(2*a))) - c)" using 2 add_assoc by auto
    hence 3: "(a * sqr (x + (b/(2*a))))  ((a * sqr (b/(2*a))) - c)"
      using assms(1) by auto
  }
  hence " x . (a * sqr (x + (b/(2*a))))  ((a * sqr (b/(2*a))) - c)"
    by auto

  hence "(a * sqr ((-b/(2*a)) + (b/(2*a))))  ((a * sqr (b/(2*a))) - c)" by fast
  hence "((a * sqr (b/(2*a))) - c)  0" by simp
  hence "4*a*((a * sqr (b/(2*a))) - c)  0" 
    using  local.mult_le_0_iff assms(2) by auto
  hence "4*a*((a * sqr (b/(2*a)))) - 4*a*c  0" 
    using right_diff_distrib  mult_assoc by auto
  hence 4: "4*a*((a * sqr (b/(2*a))))  4*a*c" by simp

  have "sqr (b/(2*a)) = (sqr b)/(4*a*a)" 
    using mult_assoc mult_commute by simp
  hence "4*a*((a * sqr (b/(2*a)))) = 4*a*((a * (sqr b)/(4*a*a)))" by auto
  hence "4*a*((a * sqr (b/(2*a)))) = (4*a*a)*(sqr b)/(4*a*a)"
    using mult_commute by auto
  hence "4*a*((a * sqr (b/(2*a)))) = (sqr b)"
    using assms(2) by simp

  thus ?thesis using 4 by auto
qed


lemma lemSquareExistsAbove:
  shows " x > 0 . (sqr x) > y"
proof -
  have cases: "(y  0)  (y > 0)" by auto
  have one: "1  0" by simp
  have onestrict: "0 < 1" by simp

  { assume yle0: "y  0"
    hence "y < sqr 1" using yle0 le_less_trans by simp
    hence ?thesis using onestrict by fast
  }
  hence case1: "(y  0)  ?thesis" by auto

  { assume ygt0: "y > 0"
    { assume ylt1: "y < 1"
      hence "sqr y < y" using ygt0 mult_strict_left_mono[of "y" "1"] by auto
      hence "sqr y < sqr 1" using ylt1 by simp
      hence "y < 1" using ygt0 lemSqrOrderedStrict[of "1" "y"] by auto
      hence "y < sqr 1" by simp
      hence "?thesis" using onestrict by best
    }
    hence a: "(y < 1)  ?thesis" by auto
    { assume "y = 1"
      hence b1: "y < sqr 2" by simp
      have "2 > 0" by simp
      hence "?thesis" using b1 by fast
    }
    hence b: "(y = 1)  ?thesis" by auto
    { assume ygt1: "y > 1"
      hence yge1: "y  1" by simp 
      have yge0: "y  0" using ygt0 by simp
      have "y  y" by simp
      hence "sqr y > y*1" using lemMultPosLT ygt0 ygt1 by blast
      hence "sqr y > y" by simp
      hence "?thesis" using ygt0 by bestsimp
    }
    hence "(y > 1)  ?thesis" by simp

    hence "((y<1)(y=1)(y>1))  ?thesis" using a b by auto
    hence ?thesis by fastforce
  }
  hence ypos: "(y > 0)  ?thesis" by auto

  thus ?thesis using cases case1 by auto
qed


lemma lemSmallSquares:
  assumes "x > 0"
  shows " y > 0. (sqr y < x)"
proof -
  have invpos: "1/x > 0" using assms(1) by auto
  then obtain z where z: "(z > 0)  ((sqr z) > (1/x))" 
    using lemSquareExistsAbove by auto
  define y where y: "y = 1/z"
  hence ypos: "y > 0" using z by auto
  have 1: "1/(sqr z) < 1/(1/x)" using z invpos
    by (meson local.divide_strict_left_mono 
              local.mult_pos_pos local.zero_less_one)
  hence "(sqr y) < x" using z y by simp
  thus ?thesis using ypos by auto
qed


lemma lemSqrLT1:
  assumes "0 < x < 1"
  shows "0 < (sqr x) < x"
using assms lemMultPosLT1[of "x" "x"] by auto



lemma lemReducedBound:
  assumes "x > 0"
  shows " y > 0 . (y < x)  (sqr y < y)  (y < 1)"
proof -
  have x2: "x > x/2" 
    using assms lemSumOfTwoHalves[of "x"] add_strict_left_mono[of "0" "x/2" "x/2"]
    by auto
  have x2pos: "x/2 > 0" using assms by simp

  define y where "y = min (x/2) (1/2)"
  hence y: "(y  x/2)  (y  1/2)  (y > 0)" using x2pos by auto

  have yltx: "y < x" using y x2 le_less_trans by auto
  have ylt1: "y < 1" using y le_less_trans by auto

  hence "sqr y < y" using lemSqrLT1 y by simp
  thus ?thesis using yltx ylt1 y by auto
qed

end (* of class Quantities *)



end (* of theory Sorts *)