LOPBAN_1

index · ← RSSPACE3 · VECTSP_9 →
:: Banach Space of Bounded Linear Operators
::  by Yasunari Shidama
::
:: Received December 22, 2003
:: Copyright (c) 2003-2026 Association of Mizar Users
::           (Stowarzyszenie Uzytkownikow Mizara, Bialystok, Poland).
:: This code can be distributed under the GNU General Public Licence
:: version 3.0 or later, or the Creative Commons Attribution-ShareAlike
:: License version 3.0 or later, subject to the binding interpretation
:: detailed in file COPYING.interpretation.
:: See COPYING.GPL and COPYING.CC-BY-SA for the full text of these
:: licenses, or see http://www.gnu.org/licenses/gpl.html and
:: http://creativecommons.org/licenses/by-sa/3.0/.

environ

 vocabularies NUMBERS, XBOOLE_0, FUNCT_1, ZFMISC_1, FUNCOP_1, SUBSET_1,
      FUNCT_2, RELAT_1, PARTFUN1, ALGSTR_0, BINOP_1, STRUCT_0, RLVECT_1,
      REAL_1, SUPINF_2, ARYTM_3, ARYTM_1, FUNCSDOM, MONOID_0, TARSKI, MSSUBFAM,
      UNIALG_1, RLSUB_1, RSSPACE, NORMSP_1, NAT_1, PRE_TOPC, SEQ_2, ORDINAL2,
      XXREAL_0, CARD_1, COMPLEX1, XXREAL_2, SEQ_4, REWRITE1, RSSPACE3, SEQ_1,
      VALUED_1, LOPBAN_1, METRIC_1, RELAT_2, FCONT_1, ASYMPT_1;
 notations TARSKI, XBOOLE_0, ZFMISC_1, SUBSET_1, RELAT_1, FUNCT_1, PARTFUN1,
      FUNCT_2, FUNCT_3, PRE_TOPC, DOMAIN_1, FUNCOP_1, BINOP_1, XXREAL_0,
      XXREAL_2, XCMPLX_0, COMPLEX1, REAL_1, ORDINAL1, NAT_1, STRUCT_0,
      ALGSTR_0, XREAL_0, NUMBERS, MONOID_0, RLVECT_1, RLSUB_1, NORMSP_0,
      NORMSP_1, RSSPACE, RSSPACE3, VALUED_1, SEQ_1, COMSEQ_2, SEQ_2, SEQ_4,
      FUNCSDOM, VECTSP_1;
 constructors DOMAIN_1, FUNCT_3, XXREAL_0, REAL_1, NAT_1, COMPLEX1, SEQM_3,
      RLSUB_1, FUNCSDOM, MONOID_0, MEASURE6, RSSPACE3, XXREAL_2, NORMSP_1,
      SEQ_4, RELSET_1, BINOP_2, RVSUM_1, SEQ_2, COMSEQ_2, SEQ_1, NUMBERS;
 registrations XBOOLE_0, SUBSET_1, ORDINAL1, RELSET_1, FUNCT_2, NUMBERS,
      XREAL_0, MEMBERED, STRUCT_0, RLVECT_1, NORMSP_1, MONOID_0, RSSPACE3,
      VALUED_1, VALUED_0, SEQ_4, FUNCT_1, NORMSP_0, NAT_1, SEQ_1, SEQ_2;
 requirements SUBSET, REAL, BOOLE, NUMERALS, ARITHM;
 definitions FUNCT_1, ALGSTR_0, VECTSP_1, NORMSP_0, XXREAL_2;
 equalities RLVECT_1, BINOP_1, STRUCT_0, ALGSTR_0, NORMSP_0;
 expansions FUNCT_1, BINOP_1, NORMSP_0;
 theorems XBOOLE_0, TARSKI, ABSVALUE, RLVECT_1, FUNCOP_1, XREAL_0, XCMPLX_0,
      SEQ_1, SEQ_2, FUNCT_1, NAT_1, FUNCT_2, RLSUB_1, NORMSP_1, SEQ_4, FUNCT_3,
      RSSPACE, RSSPACE3, MONOID_0, XREAL_1, COMPLEX1, XXREAL_0, VECTSP_1,
      NORMSP_0, ORDINAL1;
 schemes BINOP_1, SEQ_1, FUNCT_2, XBOOLE_0;

begin :: Real Vector Space of Operators

definition
  let X be set;
  let Y be non empty set;
  let F be Function of [:REAL, Y:], Y;
  let a be Real, f be Function of X, Y;
  redefine func F[;](a,f) -> Element of Funcs(X, Y);  :: redefines [;] (FUNCOP_1, definition)
  coherence
  proof
A1: dom f = X by FUNCT_2:def 1;
    a in REAL by XREAL_0:def 1;
    then dom f --> a is Function of X,REAL by A1,FUNCOP_1:45;
    then reconsider g = <:dom f --> a, f:> as Function of X,[:REAL, Y:] by
FUNCT_3:58;
    F[;](a,f) = F * g by FUNCOP_1:def 5;
    hence thesis by FUNCT_2:8;
  end;
end;

definition
  let X be non empty set;
  let Y be non empty addLoopStr;
  func FuncAdd(X,Y) -> BinOp of Funcs(X,the carrier of Y) means
  :Def1:
  for f,g being Element of Funcs(X,the carrier of Y)
   holds it.(f,g) = (the addF of Y).:(f,g);
  existence
proof
  deffunc F(Element of Funcs(X,the carrier of Y), Element of Funcs(X,the
  carrier of Y)) = (the addF of Y).:($1,$2);
  thus ex ADD being BinOp of Funcs(X,the carrier of Y) st
   for f,g being Element of Funcs(X,the carrier of Y)
    holds ADD.(f,g) = F(f,g) from BINOP_1:sch 4;
end;
  uniqueness
  proof
    let it1,it2 be BinOp of Funcs(X,the carrier of Y) such that
A1: for f,g being Element of Funcs(X,the carrier of Y) holds it1.(f,g)
    = (the addF of Y).:(f,g) and
A2: for f,g being Element of Funcs(X,the carrier of Y) holds it2.(f,g)
    = (the addF of Y).:(f,g);
    now
      let f,g be Element of Funcs(X,the carrier of Y);
      thus it1.(f,g) = (the addF of Y).:(f,g) by A1
        .= it2.(f,g) by A2;
    end;
    hence thesis;
  end;
end;

definition
  let X be non empty set;
  let Y be RealLinearSpace;
  func FuncExtMult(X,Y) -> Function of [:REAL,Funcs(X,the carrier of Y):],
  Funcs(X,the carrier of Y) means
  :Def2:
  for a being Real, f being Element of
  Funcs(X,the carrier of Y), x being Element of X holds (it.[a,f]).x = a*(f.x);
  existence
proof
  deffunc F(Real,Element of Funcs(X,the carrier of Y)) = ((the Mult of Y)[;](
  $1,$2));
  consider F being
   Function of [:REAL,Funcs(X,the carrier of Y):], Funcs(X,the carrier of Y)
    such that
A1: for a be Element of REAL,
       f being Element of Funcs(X,the carrier of Y) holds F.
  (a,f) = F(a,f) from BINOP_1:sch 4;
  take F;
  let a be Real,
      f be Element of Funcs(X,the carrier of Y), x be Element of X;
   reconsider a as Element of REAL by XREAL_0:def 1;
A2: dom (F.[a,f]) = X by FUNCT_2:92;
  F.(a,f) = ((the Mult of Y)[;](a,f)) by A1;
  hence thesis by A2,FUNCOP_1:32;
end;
  uniqueness
  proof
    let it1,it2 be Function of [:REAL,Funcs(X,the carrier of Y):], Funcs(X,the
    carrier of Y) such that
A3: for a being Real, f being Element of Funcs(X,the carrier of Y), x
    being Element of X holds (it1.[a,f]).x = a*(f.x) and
A4: for a being Real, f being Element of Funcs(X,the carrier of Y), x
    being Element of X holds (it2.[a,f]).x = a*(f.x);
    now
      let a be Element of REAL, f be Element of Funcs(X,the carrier of Y);
      now
        let x be Element of X;
        thus (it1.[a,f]).x = a*(f.x) by A3
          .= (it2.[a,f]).x by A4;
      end;
      hence it1.(a,f) = it2.(a,f) by FUNCT_2:63;
    end;
    hence thesis;
  end;
end;

definition
  let X be set;
  let Y be non empty ZeroStr;
  func FuncZero(X,Y) -> Element of Funcs (X,the carrier of Y) equals
  X --> 0.Y;
  coherence by FUNCT_2:8;
end;

reserve X for non empty set;
reserve Y for RealLinearSpace;
reserve f,g,h for Element of Funcs(X,the carrier of Y);

Lm1: for A,B be non empty set for x being Element of A, f being Function of A,
B holds x in dom f
proof
  let A,B be non empty set;
  let x be Element of A, f be Function of A,B;
  x in A;
  hence thesis by FUNCT_2:def 1;
end;

theorem Th1:
  for Y being non empty addLoopStr, f,g,h being Element of Funcs(X,
  the carrier of Y) holds h = FuncAdd(X,Y).(f,g) iff for x being Element of X
  holds h.x = f.x + g.x
proof
  let Y be non empty addLoopStr, f,g,h be Element of Funcs(X,the carrier of Y);
  hereby
    assume
A1: h = (FuncAdd(X,Y)).(f,g);
    let x be Element of X;
A2: x in dom ((the addF of Y).:(f,g)) by Lm1;
    thus h.x = ((the addF of Y).:(f,g)).x by A1,Def1
      .= f.x + g.x by A2,FUNCOP_1:22;
  end;
    assume
A3: for x being Element of X holds h.x=f.x + g.x;
    now
      let x be Element of X;
A4:   x in dom ((the addF of Y).:(f,g)) by Lm1;
      thus ((FuncAdd(X,Y)).(f,g)).x = ((the addF of Y).:(f,g)).x by Def1
        .= f.x + g.x by A4,FUNCOP_1:22
        .= h.x by A3;
    end;
    hence h = (FuncAdd(X,Y)).(f,g) by FUNCT_2:63;
end;

reserve a,b for Real;

theorem Th2:
  h = (FuncExtMult(X,Y)).[a,f] iff for x being Element of X holds h
  .x = a*(f.x)
proof
  thus h = (FuncExtMult(X,Y)).[a,f] implies for x being Element of X holds h.x
  = a*(f.x) by Def2;
 reconsider a as Element of REAL by XREAL_0:def 1;
  now
    assume
A1: for x being Element of X holds h.x = a*(f.x);
    for x being Element of X holds h.x = ((FuncExtMult(X,Y)).[a,f]).x
    proof
      let x be Element of X;
      thus h.x = a*(f.x) by A1
        .= ((FuncExtMult(X,Y)).[a,f]).x by Def2;
    end;
    hence h = (FuncExtMult(X,Y)).[a,f] by FUNCT_2:63;
  end;
  hence thesis;
end;

reserve u,v,w for VECTOR of RLSStruct(#Funcs(X,the carrier of Y), (FuncZero(X,
    Y)),FuncAdd(X,Y),FuncExtMult(X,Y)#);

theorem Th3:
  (FuncAdd(X,Y)).(f,g) = (FuncAdd(X,Y)).(g,f)
proof
  now
    let x be Element of X;
    thus ((FuncAdd(X,Y)).(f,g)).x = g.x + f.x by Th1
      .= ((FuncAdd(X,Y)).(g,f)).x by Th1;
  end;
  hence thesis by FUNCT_2:63;
end;

theorem Th4:
  (FuncAdd(X,Y)).(f,(FuncAdd(X,Y)).(g,h)) = (FuncAdd(X,Y)).((
  FuncAdd(X,Y)).(f,g),h)
proof
  now
    let x be Element of X;
    thus ((FuncAdd(X,Y)).(f,(FuncAdd(X,Y)).(g,h))).x = f.x + ((FuncAdd(X,Y)).(
    g,h)).x by Th1
      .= f.x + (g.x + h.x) by Th1
      .= (f.x + g.x) + h.x by RLVECT_1:def 3
      .= ((FuncAdd(X,Y)).(f,g)).x + h.x by Th1
      .= ((FuncAdd(X,Y)).((FuncAdd(X,Y)).(f,g),h)).x by Th1;
  end;
  hence thesis by FUNCT_2:63;
end;

theorem Th5:
  (FuncAdd(X,Y)).(FuncZero(X,Y),f) = f
proof
  now
    let x be Element of X;
    thus ((FuncAdd(X,Y)).(FuncZero(X,Y),f)).x = (FuncZero(X,Y)).x + f.x by Th1
      .= 0.Y + f.x by FUNCOP_1:7
      .= f.x;
  end;
  hence thesis by FUNCT_2:63;
end;

reconsider jj=1 as Element of REAL by XREAL_0:def 1;

theorem Th6:
  (FuncAdd(X,Y)).(f,(FuncExtMult(X,Y)).[-1,f]) = FuncZero(X,Y)
proof
  now
    let x be Element of X;
    set y=f.x;
    thus ((FuncAdd(X,Y)).(f,(FuncExtMult(X,Y)).[-jj,f])).x = f.x + ((
    FuncExtMult(X,Y)).[-jj,f]).x by Th1
      .= f.x + ((-1)*y) by Th2
      .= f.x + (-y) by RLVECT_1:16
      .= 0.Y by RLVECT_1:5
      .= (FuncZero(X,Y)).x by FUNCOP_1:7;
  end;
  hence thesis by FUNCT_2:63;
end;

theorem Th7:
  (FuncExtMult(X,Y)).[1,f] = f
proof
  now
    let x be Element of X;
    thus ((FuncExtMult(X,Y)).[jj,f]).x = 1*(f.x) by Th2
      .= f.x by RLVECT_1:def 8;
  end;
  hence thesis by FUNCT_2:63;
end;

theorem Th8:
  (FuncExtMult(X,Y)).[a,(FuncExtMult(X,Y)).[b,f]] = (FuncExtMult(X ,Y)).[a*b,f]
proof
 reconsider a,b as Element of REAL by XREAL_0:def 1;
  now
    let x be Element of X;
    thus ((FuncExtMult(X,Y)).[a,(FuncExtMult(X,Y)).[b,f]]).x = a*(((
    FuncExtMult(X,Y)).[b,f]).x) by Th2
      .= a*(b*(f.x)) by Th2
      .= (a*b)*(f.x) by RLVECT_1:def 7
      .= ((FuncExtMult(X,Y)).[a*b,f]).x by Th2;
  end;
  hence thesis by FUNCT_2:63;
end;

theorem Th9:
  (FuncAdd(X,Y)). ((FuncExtMult(X,Y)).[a,f],(FuncExtMult(X,Y)).[b,
  f]) = (FuncExtMult(X,Y)).[a+b,f]
proof
 reconsider a,b as Element of REAL by XREAL_0:def 1;
   now
    let x be Element of X;
    thus ((FuncAdd(X,Y)). ((FuncExtMult(X,Y)).[a,f],(FuncExtMult(X,Y)).[b,f]))
    .x = ((FuncExtMult(X,Y)).[a,f]).x + ((FuncExtMult(X,Y)).[b,f]).x by Th1
      .= a*(f.x) + ((FuncExtMult(X,Y)).[b,f]).x by Th2
      .= a*(f.x) + b*(f.x) by Th2
      .= (a+b)*(f.x) by RLVECT_1:def 6
      .= ((FuncExtMult(X,Y)).[a+b,f]).x by Th2;
  end;
  hence thesis by FUNCT_2:63;
end;

Lm2: (FuncAdd(X,Y)). ((FuncExtMult(X,Y)).[a,f],(FuncExtMult(X,Y)).[a,g]) = (
FuncExtMult(X,Y)).[a,(FuncAdd(X,Y)).(f,g)]
proof
 reconsider a as Element of REAL by XREAL_0:def 1;
  now
    let x be Element of X;
    thus ((FuncAdd(X,Y)). ((FuncExtMult(X,Y)).[a,f],(FuncExtMult(X,Y)).[a,g]))
    .x = ((FuncExtMult(X,Y)).[a,f]).x + ((FuncExtMult(X,Y)).[a,g]).x by Th1
      .= a*(f.x) + ((FuncExtMult(X,Y)).[a,g]).x by Th2
      .= a*(f.x) + a*(g.x) by Th2
      .= a*(f.x + g.x) by RLVECT_1:def 5
      .= a*(((FuncAdd(X,Y)).(f,g)).x) by Th1
      .= ((FuncExtMult(X,Y)).[a,(FuncAdd(X,Y)).(f,g)]).x by Th2;
  end;
  hence thesis by FUNCT_2:63;
end;

theorem Th10:
  RLSStruct(#Funcs(X,the carrier of Y), (FuncZero(X,Y)),FuncAdd(X,
    Y),FuncExtMult(X,Y)#) is RealLinearSpace
proof
A1: for a,b being Real,v holds (a*b)*v = a*(b*v)
  by Th8;
A2: for a,b being Real,v holds (a+b)*v = a*v + b*v
  by Th9;
  set IT = RLSStruct(#Funcs(X,the carrier of Y), (FuncZero(X,Y)),FuncAdd(X,Y),
    FuncExtMult(X,Y)#);
A3: (u+v)+w = u+(v+w) by Th4;
A4: IT is right_complementable
  proof
    let u;
    reconsider u9 = u as Element of Funcs(X,the carrier of Y);
    reconsider w = (FuncExtMult(X,Y)).[-jj,u9] as VECTOR of IT;
    take w;
    thus thesis by Th6;
  end;
A5: for a being Real,u,v holds a*(u+v) = a*u + a *v
  by Lm2;
A6: 1*v = v by Th7;
A7: u+0.IT = u
  proof
    reconsider u9=u as Element of Funcs(X,the carrier of Y);
    thus u+0.IT = (FuncAdd(X,Y)).(FuncZero(X,Y),u9) by Th3
      .= u by Th5;
  end;
  u+v = v+u by Th3;
  hence thesis by A3,A7,A4,A5,A2,A1,A6,RLVECT_1:def 2,def 3,def 4,def 5,def 6
,def 7,def 8;
end;

definition
  let X be non empty set;
  let Y be RealLinearSpace;
  func RealVectSpace(X,Y) -> RealLinearSpace equals
  RLSStruct(#Funcs(X,the
    carrier of Y), (FuncZero(X,Y)),FuncAdd(X,Y),FuncExtMult(X,Y)#);
  coherence by Th10;
end;

registration
  let X be non empty set;
  let Y be RealLinearSpace;
  cluster RealVectSpace(X,Y) -> strict;
  coherence;
end;

registration
  let X be non empty set;
  let Y be RealLinearSpace;
  cluster RealVectSpace(X,Y) -> constituted-Functions;
  coherence by MONOID_0:80;
end;

definition
  let X be non empty set;
  let Y be RealLinearSpace;
  let f be VECTOR of RealVectSpace(X,Y);
  let x be Element of X;
  redefine func f.x -> VECTOR of Y;  :: redefines . (FUNCT_1, definition)
  coherence
  proof
    consider g being Function such that
A1: f = g and
A2: dom g = X and
A3: rng g c= the carrier of Y by FUNCT_2:def 2;
    f.x in rng g by A1,A2,FUNCT_1:def 3;
    hence thesis by A3;
  end;
end;

theorem
  for X be non empty set for Y be RealLinearSpace for f,g,h be VECTOR of
RealVectSpace(X,Y) holds h = f+g iff for x be Element of X holds h.x = f.x + g.
  x by Th1;

theorem
  for X be non empty set for Y be RealLinearSpace for f,h be VECTOR of
RealVectSpace(X,Y) for a be Real holds h = a*f iff for x be Element of X holds
  h.x = a * f.x by Th2;

theorem
  for X be non empty set for Y be RealLinearSpace holds 0.RealVectSpace(
  X,Y) = X --> 0.Y;

begin :: Real Vector Space of Linear Operators

definition
  let X, Y be non empty RLSStruct;
  let IT be Function of X,Y;
  attr IT is homogeneous means
  :Def5:
  for x being VECTOR of X, r being Real holds IT.(r*x) = r*IT.x;
end;

registration
  let X be non empty RLSStruct;
  let Y be RealLinearSpace;
  cluster additive homogeneous for Function of X,Y;
  existence
  proof
    set f = (the carrier of X) --> 0.Y;
    reconsider f as Function of X,Y;
    take f;
    hereby
      let x,y be VECTOR of X;
      thus f.(x+y) = 0.Y by FUNCOP_1:7
        .= 0.Y+0.Y
        .= f.x+0.Y by FUNCOP_1:7
        .= f.x+f.y by FUNCOP_1:7;
    end;
    hereby
      let x be VECTOR of X, r be Real;
      thus f.(r*x) =0.Y by FUNCOP_1:7
        .=r*0.Y
        .= r*f.x by FUNCOP_1:7;
    end;
  end;
end;

definition
  let X, Y be RealLinearSpace;
  mode LinearOperator of X,Y is additive homogeneous Function of X,Y;
end;

definition
  let X, Y be RealLinearSpace;
  func LinearOperators(X,Y) -> Subset of RealVectSpace(the carrier of X, Y)
  means
  :Def6:
  for x being set holds x in it iff x is LinearOperator of X,Y;
  existence
  proof
    defpred P[object] means $1 is LinearOperator of X,Y;
    consider IT being set such that
A1: for x being object holds x in IT iff x in Funcs(the carrier of X,the
    carrier of Y) & P[x] from XBOOLE_0:sch 1;
    take IT;
    for x be object st x in IT holds x in Funcs(the carrier of X,the carrier
    of Y) by A1;
    hence IT is Subset of RealVectSpace(the carrier of X, Y) by TARSKI:def 3;
    let x be set;
    thus x in IT implies x is LinearOperator of X,Y by A1;
    assume
A2: x is LinearOperator of X,Y;
    then x in Funcs(the carrier of X,the carrier of Y) by FUNCT_2:8;
    hence thesis by A1,A2;
  end;
  uniqueness
  proof
    let X1,X2 be Subset of RealVectSpace(the carrier of X, Y);
    assume that
A3: for x being set holds x in X1 iff x is LinearOperator of X,Y and
A4: for x being set holds x in X2 iff x is LinearOperator of X,Y;
    for x being object st x in X2 holds x in X1
    proof
      let x be object;
      assume x in X2;
      then x is LinearOperator of X,Y by A4;
      hence thesis by A3;
    end;
    then
A5: X2 c= X1 by TARSKI:def 3;
    for x being object st x in X1 holds x in X2
    proof
      let x be object;
      assume x in X1;
      then x is LinearOperator of X,Y by A3;
      hence thesis by A4;
    end;
    then X1 c= X2 by TARSKI:def 3;
    hence thesis by A5,XBOOLE_0:def 10;
  end;
end;

registration
  let X, Y be RealLinearSpace;
  cluster LinearOperators(X,Y) -> non empty functional;
  coherence
  proof
    set f = (the carrier of X) --> 0.Y;
    reconsider f as Function of X,Y;
A1: f is homogeneous
    proof
      let x be VECTOR of X, r be Real;
      thus f.(r*x) =0.Y by FUNCOP_1:7
        .=r*0.Y
        .= r*f.x by FUNCOP_1:7;
    end;
    f is additive
    proof
      let x,y be VECTOR of X;
      thus f.(x+y) = 0.Y by FUNCOP_1:7
        .=0.Y+0.Y
        .= f.x+0.Y by FUNCOP_1:7
        .= f.x+f.y by FUNCOP_1:7;
    end;
    hence LinearOperators(X,Y) is non empty by A1,Def6;
    let x be object;
    assume x in LinearOperators(X,Y);
    hence thesis;
  end;
end;

theorem Th14:
  for X, Y be RealLinearSpace holds LinearOperators(X,Y) is linearly-closed
proof
  let X, Y be RealLinearSpace;
  set W = LinearOperators(X,Y);
A1: for v,u be VECTOR of RealVectSpace(the carrier of X, Y) st v in
LinearOperators(X,Y) & u in LinearOperators(X,Y) holds v + u in LinearOperators
  (X,Y)
  proof
    let v,u be VECTOR of RealVectSpace(the carrier of X,Y) such that
A2: v in W and
A3: u in W;
    v+u is LinearOperator of X,Y
    proof
      reconsider f=v+u as Function of X,Y by FUNCT_2:66;
A4:   f is homogeneous
      proof
        reconsider v9 = v, u9 = u as Element of Funcs(the carrier of X,the
        carrier of Y);
        let x be VECTOR of X, s be Real;
A5:     u9 is LinearOperator of X,Y by A3,Def6;
A6:     v9 is LinearOperator of X,Y by A2,Def6;
        thus f.(s*x) =u9.(s*x)+v9.(s*x) by Th1
          .=(s*(u9.x))+v9.(s*x) by A5,Def5
          .=s*u9.x+s*v9.x by A6,Def5
          .=s*(u9.x+v9.x) by RLVECT_1:def 5
          .= s*f.x by Th1;
      end;
      f is additive
      proof
        reconsider v9 = v, u9 = u as Element of Funcs(the carrier of X,the
        carrier of Y);
        let x,y be VECTOR of X;
A7:     u9 is LinearOperator of X,Y by A3,Def6;
A8:     v9 is LinearOperator of X,Y by A2,Def6;
        thus f.(x+y) =u9.(x+y)+v9.(x+y) by Th1
          .=(u9.x+u9.y)+v9.(x+y) by A7,VECTSP_1:def 20
          .=u9.x+u9.y+(v9.x+v9.y) by A8,VECTSP_1:def 20
          .=u9.x+u9.y+v9.x+v9.y by RLVECT_1:def 3
          .=u9.x+v9.x+u9.y+v9.y by RLVECT_1:def 3
          .= f.x+ u9.y+v9.y by Th1
          .= f.x+ (u9.y+v9.y) by RLVECT_1:def 3
          .= f.x+f.y by Th1;
      end;
      hence thesis by A4;
    end;
    hence thesis by Def6;
  end;
  for a be Real
  for v be VECTOR of RealVectSpace(the carrier of X,Y) st v
  in W holds a * v in W
  proof
    let a be Real;
    let v be VECTOR of RealVectSpace(the carrier of X,Y) such that
A9: v in W;
    a*v is LinearOperator of X,Y
    proof
      reconsider f=a*v as Function of X,Y by FUNCT_2:66;
A10:  f is homogeneous
      proof
        reconsider v9 = v as Element of Funcs(the carrier of X,the carrier of
        Y);
        let x be VECTOR of X, s be Real;
A11:    v9 is LinearOperator of X,Y by A9,Def6;
        thus f.(s*x) =a*v9.(s*x) by Th2
          .=a*(s*(v9.x)) by A11,Def5
          .=a*s*v9.x by RLVECT_1:def 7
          .=s*(a*v9.x) by RLVECT_1:def 7
          .=s*f.x by Th2;
      end;
      f is additive
      proof
        reconsider v9 = v as Element of Funcs(the carrier of X,the carrier of
        Y);
        let x,y be VECTOR of X;
A12:    v9 is LinearOperator of X,Y by A9,Def6;
        thus f.(x+y) = a*(v9.(x+y)) by Th2
          .=a*(v9.x+v9.y) by A12,VECTSP_1:def 20
          .=a*v9.x+a*v9.y by RLVECT_1:def 5
          .=f.x+a*v9.y by Th2
          .=f.x+ f.y by Th2;
      end;
      hence thesis by A10;
    end;
    hence thesis by Def6;
  end;
  hence thesis by A1,RLSUB_1:def 1;
end;

theorem
  for X, Y be RealLinearSpace holds RLSStruct (# LinearOperators(X,Y),
    Zero_(LinearOperators(X,Y),RealVectSpace(the carrier of X,Y)), Add_(
LinearOperators(X,Y), RealVectSpace(the carrier of X,Y)), Mult_(LinearOperators
(X,Y), RealVectSpace(the carrier of X,Y)) #) is Subspace of RealVectSpace(the
  carrier of X,Y) by Th14,RSSPACE:11;

registration
  let X, Y be RealLinearSpace;
  cluster RLSStruct (# LinearOperators(X,Y), Zero_(LinearOperators(X,Y),
RealVectSpace(the carrier of X,Y)), Add_(LinearOperators(X,Y), RealVectSpace(
the carrier of X,Y)), Mult_(LinearOperators(X,Y), RealVectSpace(the carrier of
      X,Y)) #) -> Abelian add-associative right_zeroed right_complementable
    vector-distributive scalar-distributive scalar-associative scalar-unital;
  coherence by Th14,RSSPACE:11;
end;

definition
  let X, Y be RealLinearSpace;
  func R_VectorSpace_of_LinearOperators(X,Y) -> RealLinearSpace equals
RLSStruct (# LinearOperators(X,Y), Zero_(LinearOperators(X,Y),RealVectSpace(the
carrier of X,Y)), Add_(LinearOperators(X,Y), RealVectSpace(the carrier of X,Y))
    , Mult_(LinearOperators(X,Y), RealVectSpace(the carrier of X,Y)) #);
  coherence;
end;

registration
  let X, Y be RealLinearSpace;
  cluster R_VectorSpace_of_LinearOperators(X,Y) -> strict;
  coherence;
end;

registration
  let X,Y be RealLinearSpace;
  cluster R_VectorSpace_of_LinearOperators(X,Y) -> constituted-Functions;
  coherence by MONOID_0:80;
end;

definition
  let X,Y be RealLinearSpace;
  let f be Element of R_VectorSpace_of_LinearOperators(X,Y);
  let v be VECTOR of X;
  redefine func f.v -> VECTOR of Y;  :: redefines . (FUNCT_1, definition)
  coherence
  proof
    reconsider f as LinearOperator of X,Y by Def6;
    f.v is VECTOR of Y;
    hence thesis;
  end;
end;

theorem Th16:
  for X, Y be RealLinearSpace for f,g,h be VECTOR of
  R_VectorSpace_of_LinearOperators(X,Y) holds h = f+g iff for x be VECTOR of X
  holds h.x = f.x + g.x
proof
  let X, Y be RealLinearSpace;
  let f,g,h be VECTOR of R_VectorSpace_of_LinearOperators(X,Y);
  reconsider f9=f,g9=g,h9=h as LinearOperator of X,Y by Def6;
A1: R_VectorSpace_of_LinearOperators(X,Y) is Subspace of RealVectSpace(the
  carrier of X,Y) by Th14,RSSPACE:11;
  then reconsider f1=f as VECTOR of RealVectSpace(the carrier of X,Y) by
RLSUB_1:10;
  reconsider h1=h as VECTOR of RealVectSpace(the carrier of X,Y) by A1,
RLSUB_1:10;
  reconsider g1=g as VECTOR of RealVectSpace(the carrier of X,Y) by A1,
RLSUB_1:10;
A2: now
    assume
A3: h = f+g;
    let x be Element of X;
    h1=f1+g1 by A1,A3,RLSUB_1:13;
    hence h9.x=f9.x+g9.x by Th1;
  end;
  now
    assume for x be Element of X holds h9.x=f9.x+g9.x;
    then h1=f1+g1 by Th1;
    hence h =f+g by A1,RLSUB_1:13;
  end;
  hence thesis by A2;
end;

theorem Th17:
  for X, Y be RealLinearSpace for f,h be VECTOR of
R_VectorSpace_of_LinearOperators(X,Y)
 for a be Real holds h = a*f iff for x be
  VECTOR of X holds h.x = a * f.x
proof
  let X, Y be RealLinearSpace;
  let f,h be VECTOR of R_VectorSpace_of_LinearOperators(X,Y);
  reconsider f9=f,h9=h as LinearOperator of X,Y by Def6;
  let a be Real;
A1: R_VectorSpace_of_LinearOperators(X,Y) is Subspace of RealVectSpace(the
  carrier of X,Y) by Th14,RSSPACE:11;
  then reconsider f1=f as VECTOR of RealVectSpace(the carrier of X,Y) by
RLSUB_1:10;
  reconsider h1=h as VECTOR of RealVectSpace(the carrier of X,Y) by A1,
RLSUB_1:10;
A2: now
    assume
A3: h = a*f;
    let x be Element of X;
    h1=a*f1 by A1,A3,RLSUB_1:14;
    hence h9.x=a*f9.x by Th2;
  end;
  now
    assume for x be Element of X holds h9.x=a*f9.x;
    then h1=a*f1 by Th2;
    hence h =a*f by A1,RLSUB_1:14;
  end;
  hence thesis by A2;
end;

theorem Th18:
  for X, Y be RealLinearSpace holds 0.
  R_VectorSpace_of_LinearOperators(X,Y) = (the carrier of X) -->0.Y
proof
  let X, Y be RealLinearSpace;
A1: 0.RealVectSpace(the carrier of X,Y) =((the carrier of X) -->0.Y);
  R_VectorSpace_of_LinearOperators(X,Y) is Subspace of RealVectSpace(the
  carrier of X,Y) by Th14,RSSPACE:11;
  hence thesis by A1,RLSUB_1:11;
end;

theorem Th19:
  for X,Y be RealLinearSpace holds (the carrier of X) --> 0.Y is
  LinearOperator of X,Y
proof
  let X,Y be RealLinearSpace;
  set f=(the carrier of X) --> 0.Y;
  reconsider f as Function of X,Y;
A1: f is homogeneous
  proof
    let x be VECTOR of X, r be Real;
    thus f.(r*x) =0.Y by FUNCOP_1:7
      .=r*0.Y
      .= r*f.x by FUNCOP_1:7;
  end;
  f is additive
  proof
    let x,y be VECTOR of X;
    thus f.(x+y) = 0.Y by FUNCOP_1:7
      .=0.Y+0.Y
      .= f.x+0.Y by FUNCOP_1:7
      .= f.x+f.y by FUNCOP_1:7;
  end;
  hence thesis by A1;
end;

begin :: Real Normed Linear Space of Bounded Linear Operators

theorem Th20:
  for X be RealNormSpace for seq be sequence of X for g be Point
  of X holds seq is convergent & lim seq = g implies ||.seq.|| is convergent &
  lim ||.seq.|| = ||.g.||
proof
  let X be RealNormSpace;
  let seq be sequence of X;
  let g be Point of X;
  assume that
A1: seq is convergent and
A2: lim seq = g;
A3: now
    let r be Real;
    assume
A4: r > 0;
    consider m1 be Nat such that
A5: for n be Nat st n >= m1 holds ||.(seq.n) - g.|| < r by A1,A2,A4,
NORMSP_1:def 7;
     reconsider k = m1 as Nat;
    take k;
    now
      let n be Nat;
      assume n >= k;
      then
A6:   ||.(seq.n) - g.|| < r by A5;
      |.||.(seq.n).|| - ||.g.||.| <= ||.(seq.n) - g.|| by NORMSP_1:9;
      then |.||.(seq.n).|| - ||.g.||.| < r by A6,XXREAL_0:2;
      hence |.||.seq.||.n - ||.g.||.| < r by NORMSP_0:def 4;
    end;
    hence for n be Nat st k <= n holds |.||.seq.||.n - ||.g.||.| <
    r;
  end;
  ||.seq.|| is convergent by A1,NORMSP_1:23;
  hence thesis by A3,SEQ_2:def 7;
end;

definition
  let X, Y be RealNormSpace;
  let IT be LinearOperator of X,Y;
  attr IT is Lipschitzian means
  :Def8:
  ex K being Real st 0 <= K &
  for x being VECTOR of X holds ||. IT.x .|| <= K * ||. x .||;
end;

theorem Th21:
  for X, Y be RealNormSpace holds for f be LinearOperator of X,Y
  st (for x be VECTOR of X holds f.x=0.Y) holds f is Lipschitzian
proof
  let X, Y be RealNormSpace;
  let f be LinearOperator of X,Y such that
A1: for x be VECTOR of X holds f.x=0.Y;
A2: now
    let x be VECTOR of X;
    thus ||. f.x .|| = ||. 0.Y .|| by A1
      .=0*||. x .||;
  end;
  take 0;
  thus thesis by A2;
end;

registration
  let X, Y be RealNormSpace;
  cluster Lipschitzian for LinearOperator of X,Y;
  existence
  proof
    set f=(the carrier of X) --> 0.Y;
    reconsider f as LinearOperator of X,Y by Th19;
    take f;
    for x be VECTOR of X holds f.x =0.Y by FUNCOP_1:7;
    hence thesis by Th21;
  end;
end;

definition
  let X, Y be RealNormSpace;
  func BoundedLinearOperators(X,Y) -> Subset of
  R_VectorSpace_of_LinearOperators(X,Y) means
  :Def9:
  for x being set holds x in it iff x is Lipschitzian LinearOperator of X,Y;
  existence
  proof
    defpred P[object] means $1 is Lipschitzian LinearOperator of X,Y;
    consider IT being set such that
A1: for x being object holds x in IT iff x in LinearOperators(X,Y) & P[x]
    from XBOOLE_0:sch 1;
    take IT;
    for x be object st x in IT holds x in LinearOperators(X,Y) by A1;
    hence IT is Subset of R_VectorSpace_of_LinearOperators(X,Y) by TARSKI:def 3
;
    let x be set;
    thus x in IT implies x is Lipschitzian LinearOperator of X,Y by A1;
    assume
A2: x is Lipschitzian LinearOperator of X,Y;
    then x in LinearOperators(X,Y) by Def6;
    hence thesis by A1,A2;
  end;
  uniqueness
  proof
    let X1,X2 be Subset of R_VectorSpace_of_LinearOperators(X,Y);
    assume that
A3: for x being set holds x in X1 iff x is Lipschitzian LinearOperator of X,Y
    and
A4: for x being set holds x in X2 iff x is Lipschitzian LinearOperator of X,Y;
    for x being object st x in X2 holds x in X1
    proof
      let x be object;
      assume x in X2;
      then x is Lipschitzian LinearOperator of X,Y by A4;
      hence thesis by A3;
    end;
    then
A5: X2 c= X1 by TARSKI:def 3;
    for x being object st x in X1 holds x in X2
    proof
      let x be object;
      assume x in X1;
      then x is Lipschitzian LinearOperator of X,Y by A3;
      hence thesis by A4;
    end;
    then X1 c= X2 by TARSKI:def 3;
    hence thesis by A5,XBOOLE_0:def 10;
  end;
end;

registration
  let X, Y be RealNormSpace;
  cluster BoundedLinearOperators(X,Y) -> non empty;
  coherence
  proof
    set f=(the carrier of X) --> 0.Y;
    reconsider f as LinearOperator of X,Y by Th19;
    for x be VECTOR of X holds f.x =0.Y by FUNCOP_1:7;
    then f is Lipschitzian by Th21;
    hence thesis by Def9;
  end;
end;

theorem Th22:
  for X, Y be RealNormSpace holds BoundedLinearOperators(X,Y) is
  linearly-closed
proof
  let X, Y be RealNormSpace;
  set W = BoundedLinearOperators(X,Y);
A1: for v,u be VECTOR of R_VectorSpace_of_LinearOperators(X, Y) st v in W &
  u in W holds v + u in W
  proof
    let v,u be VECTOR of R_VectorSpace_of_LinearOperators(X, Y) such that
A2: v in W and
A3: u in W;
    reconsider f=v+u as LinearOperator of X,Y by Def6;
    f is Lipschitzian
    proof
      reconsider v1=v as Lipschitzian LinearOperator of X,Y by A2,Def9;
      consider K2 be Real such that
A4:   0 <= K2 and
A5:   for x be VECTOR of X holds ||. v1.x .|| <= K2*||. x .|| by Def8;
      reconsider u1=u as Lipschitzian LinearOperator of X,Y by A3,Def9;
      consider K1 be Real such that
A6:   0 <= K1 and
A7:   for x be VECTOR of X holds ||. u1.x .|| <= K1*||. x .|| by Def8;
      take K3=K1+K2;
      now
        let x be VECTOR of X;
A8:     ||. u1.x+v1.x .|| <= ||. u1.x .||+ ||. v1.x .|| by NORMSP_1:def 1;
A9:     ||. v1.x .|| <= K2*||. x .|| by A5;
        ||. u1.x .|| <= K1*||. x .|| by A7;
        then
A10:    ||. u1.x .|| + ||. v1.x .|| <= K1*||. x .|| +K2*||. x .|| by A9,
XREAL_1:7;
        ||. f.x .|| =||. u1.x+v1.x .|| by Th16;
        hence ||. f.x .|| <= K3*||. x .|| by A8,A10,XXREAL_0:2;
      end;
      hence thesis by A6,A4;
    end;
    hence thesis by Def9;
  end;
  for a be Real
  for v be VECTOR of R_VectorSpace_of_LinearOperators(X,Y)
  st v in W holds a * v in W
  proof
    let a be Real;
    let v be VECTOR of R_VectorSpace_of_LinearOperators(X,Y) such that
A11: v in W;
    reconsider f=a*v as LinearOperator of X,Y by Def6;
    f is Lipschitzian
    proof
      reconsider v1=v as Lipschitzian LinearOperator of X,Y by A11,Def9;
      consider K be Real such that
A12:  0 <= K and
A13:  for x be VECTOR of X holds ||. v1.x .|| <= K*||. x .|| by Def8;
      take |.a.|*K;
A14:  now
        let x be VECTOR of X;
        0 <=|.a.| by COMPLEX1:46;
        then
A15:    |.a.|* ||. v1.x .|| <= |.a.|* (K*||. x .||) by A13,XREAL_1:64;
        ||. a*v1.x .|| = |.a.|* ||. v1.x .|| by NORMSP_1:def 1;
        hence ||. f.x .|| <= |.a.|* K*||. x .|| by A15,Th17;
      end;
      0 <=|.a.| by COMPLEX1:46;
      hence thesis by A12,A14;
    end;
    hence thesis by Def9;
  end;
  hence thesis by A1,RLSUB_1:def 1;
end;

theorem
  for X, Y be RealNormSpace holds RLSStruct (# BoundedLinearOperators(X,
Y), Zero_(BoundedLinearOperators(X,Y), R_VectorSpace_of_LinearOperators(X,Y)),
Add_(BoundedLinearOperators(X,Y), R_VectorSpace_of_LinearOperators(X,Y)), Mult_
    (BoundedLinearOperators(X,Y), R_VectorSpace_of_LinearOperators(X,Y)) #) is
  Subspace of R_VectorSpace_of_LinearOperators(X,Y) by Th22,RSSPACE:11;

registration
  let X, Y be RealNormSpace;
  cluster RLSStruct (# BoundedLinearOperators(X,Y), Zero_(
BoundedLinearOperators(X,Y), R_VectorSpace_of_LinearOperators(X,Y)), Add_(
BoundedLinearOperators(X,Y), R_VectorSpace_of_LinearOperators(X,Y)), Mult_(
      BoundedLinearOperators(X,Y), R_VectorSpace_of_LinearOperators(X,Y)) #) ->
Abelian add-associative right_zeroed right_complementable vector-distributive
scalar-distributive scalar-associative scalar-unital;
  coherence by Th22,RSSPACE:11;
end;

definition
  let X, Y be RealNormSpace;
  func R_VectorSpace_of_BoundedLinearOperators(X,Y) -> RealLinearSpace equals
  RLSStruct (# BoundedLinearOperators(X,Y), Zero_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)), Add_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)), Mult_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)) #);
  coherence;
end;

registration
  let X, Y be RealNormSpace;
  cluster R_VectorSpace_of_BoundedLinearOperators(X,Y) -> strict;
  coherence;
end;

registration
  let X,Y be RealNormSpace;
  cluster -> Function-like Relation-like for Element of
    R_VectorSpace_of_BoundedLinearOperators(X,Y);
  coherence;
end;

definition
  let X,Y be RealNormSpace;
  let f be Element of R_VectorSpace_of_BoundedLinearOperators(X,Y);
  let v be VECTOR of X;
  redefine func f.v -> VECTOR of Y;  :: redefines . (FUNCT_1, definition)
  coherence
  proof
    reconsider f as LinearOperator of X,Y by Def9;
    f.v is VECTOR of Y;
    hence thesis;
  end;
end;

theorem Th24:
  for X, Y be RealNormSpace for f,g,h be VECTOR of
R_VectorSpace_of_BoundedLinearOperators(X,Y) holds h = f+g iff for x be VECTOR
  of X holds h.x = f.x + g.x
proof
  let X, Y be RealNormSpace;
  let f,g,h be VECTOR of R_VectorSpace_of_BoundedLinearOperators(X,Y);
A1: R_VectorSpace_of_BoundedLinearOperators(X,Y) is Subspace of
  R_VectorSpace_of_LinearOperators(X,Y) by Th22,RSSPACE:11;
  then reconsider f1=f as VECTOR of R_VectorSpace_of_LinearOperators(X,Y) by
RLSUB_1:10;
  reconsider h1=h as VECTOR of R_VectorSpace_of_LinearOperators(X,Y) by A1,
RLSUB_1:10;
  reconsider g1=g as VECTOR of R_VectorSpace_of_LinearOperators(X,Y) by A1,
RLSUB_1:10;
  hereby
    assume
A2: h = f+g;
    let x be Element of X;
    h1=f1+g1 by A1,A2,RLSUB_1:13;
    hence h.x=f.x+g.x by Th16;
  end;
  assume for x be Element of X holds h.x=f.x+g.x;
  then h1=f1+g1 by Th16;
  hence thesis by A1,RLSUB_1:13;
end;

theorem Th25:
  for X, Y be RealNormSpace for f,h be VECTOR of
  R_VectorSpace_of_BoundedLinearOperators(X,Y)
  for a be Real holds h = a*f iff
  for x be VECTOR of X holds h.x = a * f.x
proof
  let X, Y be RealNormSpace;
  let f,h be VECTOR of R_VectorSpace_of_BoundedLinearOperators(X,Y);
  let a be Real;
A1: R_VectorSpace_of_BoundedLinearOperators(X,Y) is Subspace of
  R_VectorSpace_of_LinearOperators(X,Y) by Th22,RSSPACE:11;
  then reconsider f1=f as VECTOR of R_VectorSpace_of_LinearOperators(X,Y) by
RLSUB_1:10;
  reconsider h1=h as VECTOR of R_VectorSpace_of_LinearOperators(X,Y) by A1,
RLSUB_1:10;
  hereby
    assume
A2: h = a*f;
    let x be Element of X;
    h1=a*f1 by A1,A2,RLSUB_1:14;
    hence h.x=a*f.x by Th17;
  end;
  assume for x be Element of X holds h.x=a*f.x;
  then h1=a*f1 by Th17;
  hence thesis by A1,RLSUB_1:14;
end;

theorem Th26:
  for X, Y be RealNormSpace holds 0.
  R_VectorSpace_of_BoundedLinearOperators(X,Y) = (the carrier of X) --> 0.Y
proof
  let X, Y be RealNormSpace;
A1: 0.R_VectorSpace_of_LinearOperators(X,Y) =((the carrier of X) -->0.Y) by
Th18;
  R_VectorSpace_of_BoundedLinearOperators(X,Y) is Subspace of
  R_VectorSpace_of_LinearOperators(X,Y) by Th22,RSSPACE:11;
  hence thesis by A1,RLSUB_1:11;
end;

definition
  let X, Y be RealNormSpace;
  let f be object such that :: !!! zastapic przez In(.,.)
A1: f in BoundedLinearOperators(X,Y);
  func modetrans(f,X,Y) -> Lipschitzian LinearOperator of X,Y equals
  :Def11:
  f;
  coherence by A1,Def9;
end;

definition
  let X, Y be RealNormSpace;
  let u be LinearOperator of X,Y;
  func PreNorms(u) -> non empty Subset of REAL equals
  {||.u.t.|| where t is
  VECTOR of X : ||.t.|| <= 1 };
  coherence
  proof
A1: now
      let x be object;
      now
        assume x in {||.u.t.|| where t is VECTOR of X : ||.t.|| <= 1 };
        then ex t be VECTOR of X st x=||.u.t.|| & ||.t.|| <= 1;
        hence x in REAL;
      end;
      hence x in {||.u.t.|| where t is VECTOR of X : ||.t.|| <= 1 } implies x
      in REAL;
    end;
    ||.0.X.|| = 0;
    then
    ||.u.(0.X).|| in {||.u.t.|| where t is VECTOR of X : ||.t.|| <= 1 };
    hence thesis by A1,TARSKI:def 3;
  end;
end;

theorem Th27:
  for X, Y be RealNormSpace for g be Lipschitzian LinearOperator of X,Y
  holds PreNorms(g) is bounded_above
proof
  let X, Y be RealNormSpace;
  let g be Lipschitzian LinearOperator of X,Y;
    consider K be Real such that
A1: 0 <= K and
A2: for x be VECTOR of X holds ||. g.x .|| <= K*||. x .|| by Def8;
    take K;
      let r be ExtReal;
      assume r in PreNorms(g);
      then consider t be VECTOR of X such that
A3:   r=||.g.t.|| and
A4:   ||.t.|| <= 1;
A5:   ||.g.t.|| <= K*||. t .|| by A2;
      K*||. t .|| <= K *1 by A1,A4,XREAL_1:64;
      hence r <=K by A3,A5,XXREAL_0:2;
end;

theorem
  for X, Y be RealNormSpace for g be LinearOperator of X,Y holds g is
  Lipschitzian iff PreNorms(g) is bounded_above
proof
  let X, Y be RealNormSpace;
  let g be LinearOperator of X,Y;
  now
    reconsider K=upper_bound PreNorms(g) as Real;
    assume
A1: PreNorms(g) is bounded_above;
A2: now
      let t be VECTOR of X;
      now
        per cases;
        case
A3:       t = 0.X;
          then
A4:       ||.t.|| = 0;
          g.t = g.(0*0.X) by A3
            .=0*g.(0.X) by Def5
            .=0.Y by RLVECT_1:10;
          hence ||.g.t.|| <= K*||.t.|| by A4;
        end;
        case
A5:       t <> 0.X;
          reconsider t1= ( ||.t.||")*t as VECTOR of X;
A6:       ||.t.|| <> 0 by A5,NORMSP_0:def 5;
A7:       ||.g.t.||/||.t.||*||.t.|| = ||.g.t.||*||.t.||"*||.t.|| by
XCMPLX_0:def 9
            .=||.g.t.||*(||.t.||"*||.t.||)
            .=||.g.t.||*1 by A6,XCMPLX_0:def 7
            .=||.g.t.||;
A8:       |. ||.t.||".| = |. 1*||.t.||".| .=|. 1/||.t.||.| by XCMPLX_0:def 9
            .=1/|. ||.t.||.| by ABSVALUE:7
            .=1/||.t.|| by ABSVALUE:def 1
            .=1*||.t.||" by XCMPLX_0:def 9
            .=||.t.||";
          ||.t1.|| =|. ||.t.||".|*||.t.|| by NORMSP_1:def 1
            .=1 by A6,A8,XCMPLX_0:def 7;
          then
A9:      ||.g.t1.|| in {||.g.s.|| where s is VECTOR of X : ||.s.|| <= 1 };
          ||.g.t.||/||.t.|| = ||.g.t.||*||.t.||" by XCMPLX_0:def 9
            .=||. ||.t.||"*g.t.|| by A8,NORMSP_1:def 1
            .=||.g.t1.|| by Def5;
          then ||.g.t.||/||.t.|| <= K by A1,A9,SEQ_4:def 1;
          hence ||.g.t.|| <= K *||.t.|| by A7,XREAL_1:64;
        end;
      end;
      hence ||.g.t.|| <= K*||.t.||;
    end;
    take K;
    0 <= K
    proof
      consider r0 be object such that
A10:  r0 in PreNorms(g) by XBOOLE_0:def 1;
      reconsider r0 as Real by A10;
      now
        let r be Real;
        assume r in PreNorms(g);
        then ex t be VECTOR of X st r=||.g.t.|| & ||.t.|| <= 1;
        hence 0 <= r;
      end;
      then 0 <= r0 by A10;
      hence thesis by A1,A10,SEQ_4:def 1;
    end;
    hence g is Lipschitzian by A2;
  end;
  hence thesis by Th27;
end;

definition
  let X, Y be RealNormSpace;
  func BoundedLinearOperatorsNorm(X,Y) -> Function of BoundedLinearOperators(X
  ,Y), REAL means
  :Def13:
  for x be object st x in BoundedLinearOperators(X,Y) holds
  it.x = upper_bound PreNorms(modetrans(x,X,Y));
  existence
proof
  deffunc F(object) = upper_bound PreNorms(modetrans($1,X,Y));
A1: for z be object st z in BoundedLinearOperators(X,Y) holds F(z) in REAL
       by XREAL_0:def 1;
  thus ex f being Function of BoundedLinearOperators(X,Y),REAL st
   for x being object st x in BoundedLinearOperators(X,Y) holds f.x = F(x)
    from FUNCT_2:sch 2(A1);
end;
  uniqueness
  proof
    let NORM1,NORM2 be Function of BoundedLinearOperators(X,Y), REAL such that
A2: for x be object st x in BoundedLinearOperators(X,Y) holds NORM1.x =
    upper_bound PreNorms(modetrans(x,X,Y)) and
A3: for x be object st x in BoundedLinearOperators(X,Y) holds NORM2.x =
    upper_bound PreNorms(modetrans(x,X,Y));
A4: for z be object st z in BoundedLinearOperators(X,Y)
   holds NORM1.z = NORM2 .z
    proof
      let z be object such that
A5:   z in BoundedLinearOperators(X,Y);
      NORM1.z = upper_bound PreNorms(modetrans(z,X,Y)) by A2,A5;
      hence thesis by A3,A5;
    end;
A6: dom NORM2 = BoundedLinearOperators(X,Y) by FUNCT_2:def 1;
    dom NORM1 = BoundedLinearOperators(X,Y) by FUNCT_2:def 1;
    hence thesis by A6,A4;
  end;
end;

theorem Th29:
  for X, Y be RealNormSpace for f be Lipschitzian LinearOperator of X,Y
  holds modetrans(f,X,Y)=f
proof
  let X, Y be RealNormSpace;
  let f be Lipschitzian LinearOperator of X,Y;
  f in BoundedLinearOperators(X,Y) by Def9;
  hence thesis by Def11;
end;

theorem Th30:
  for X, Y be RealNormSpace for f be Lipschitzian LinearOperator of X,Y
  holds BoundedLinearOperatorsNorm(X,Y).f = upper_bound PreNorms(f)
proof
  let X, Y be RealNormSpace;
  let f be Lipschitzian LinearOperator of X,Y;
  reconsider f9=f as set;
  f in BoundedLinearOperators(X,Y) by Def9;
  hence BoundedLinearOperatorsNorm(X,Y).f =
  upper_bound PreNorms(modetrans(f9,X,Y)) by Def13
    .= upper_bound PreNorms(f) by Th29;
end;

definition
  let X, Y be RealNormSpace;
  func R_NormSpace_of_BoundedLinearOperators(X,Y) -> non empty NORMSTR equals
  NORMSTR (# BoundedLinearOperators(X,Y), Zero_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)), Add_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)), Mult_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)), BoundedLinearOperatorsNorm(X,Y) #);
  coherence;
end;

theorem Th31:
  for X, Y be RealNormSpace holds (the carrier of X) --> 0.Y = 0.
  R_NormSpace_of_BoundedLinearOperators(X,Y)
proof
  let X, Y be RealNormSpace;
  ((the carrier of X) --> 0.Y) =0.R_VectorSpace_of_BoundedLinearOperators(
  X,Y) by Th26
    .=0.R_NormSpace_of_BoundedLinearOperators(X,Y);
  hence thesis;
end;

theorem Th32:
  for X, Y be RealNormSpace for f being Point of
R_NormSpace_of_BoundedLinearOperators(X,Y)
for g be Lipschitzian LinearOperator of X
  ,Y st g=f holds for t be VECTOR of X holds ||.g.t.|| <= ||.f.|| * ||.t.||
proof
  let X, Y be RealNormSpace;
  let f being Point of R_NormSpace_of_BoundedLinearOperators(X,Y);
  let g be Lipschitzian LinearOperator of X,Y such that
A1: g=f;
A2: PreNorms(g) is non empty bounded_above by Th27;
  now
    let t be VECTOR of X;
    now
      per cases;
      case
A3:     t = 0.X;
        then
A4:     ||.t.|| = 0;
        g.t =g.(0*0.X) by A3
          .=0*g.(0.X) by Def5
          .=0.Y by RLVECT_1:10;
        hence ||.g.t.|| <= ||.f.||*||.t.|| by A4;
      end;
      case
A5:     t <> 0.X;
        reconsider t1= ( ||.t.||")*t as VECTOR of X;
A6:     ||.t.|| <> 0 by A5,NORMSP_0:def 5;
A7:     |. ||.t.||".| =|. 1*||.t.||".| .=|. 1/||.t.||.| by XCMPLX_0:def 9
          .=1/|. ||.t.||.| by ABSVALUE:7
          .=1/||.t.|| by ABSVALUE:def 1
          .=1*||.t.||" by XCMPLX_0:def 9
          .=||.t.||";
A8:     ||.g.t.||/||.t.|| = ||.g.t.||*||.t.||" by XCMPLX_0:def 9
          .=||. ||.t.||"*g.t.|| by A7,NORMSP_1:def 1
          .=||.g.t1.|| by Def5;
        ||.t1.|| =|. ||.t.||".|*||.t.|| by NORMSP_1:def 1
          .=1 by A6,A7,XCMPLX_0:def 7;
        then ||.g.t.||/||.t.|| in {||.g.s.|| where s is VECTOR of X : ||.s.||
        <= 1 } by A8;
        then ||.g.t.||/||.t.|| <= upper_bound PreNorms(g) by A2,SEQ_4:def 1;
        then ||.g.t.||/||.t.|| <= BoundedLinearOperatorsNorm(X,Y).g by Th30;
        then
A9:    ||.g.t.||/||.t.|| <= ||.f.|| by A1;
        ||.g.t.||/||.t.||*||.t.|| = ||.g.t.||*||.t.||"*||.t.|| by
XCMPLX_0:def 9
          .=||.g.t.||*(||.t.||"*||.t.||)
          .=||.g.t.||*1 by A6,XCMPLX_0:def 7
          .=||.g.t.||;
        hence ||.g.t.|| <= ||.f.||*||.t.|| by A9,XREAL_1:64;
      end;
    end;
    hence ||.g.t.|| <= ||.f.||*||.t.||;
  end;
  hence thesis;
end;

theorem Th33:
  for X, Y be RealNormSpace for f being Point of
  R_NormSpace_of_BoundedLinearOperators(X,Y) holds 0 <= ||.f.||
proof
  let X, Y be RealNormSpace;
  let f being Point of R_NormSpace_of_BoundedLinearOperators(X,Y);
  reconsider g=f as Lipschitzian LinearOperator of X,Y by Def9;
  consider r0 be object such that
A1: r0 in PreNorms(g) by XBOOLE_0:def 1;
  reconsider r0 as Real by A1;
A2: PreNorms(g) is non empty bounded_above by Th27;
A3: BoundedLinearOperatorsNorm(X,Y).f = upper_bound PreNorms(g) by Th30;
  now
    let r be Real;
    assume r in PreNorms(g);
    then ex t be VECTOR of X st r=||.g.t.|| & ||.t.|| <= 1;
    hence 0 <= r;
  end;
  then 0 <= r0 by A1;
  then 0 <=upper_bound PreNorms(g) by A2,A1,SEQ_4:def 1;
  hence thesis by A3;
end;

theorem Th34:
  for X, Y be RealNormSpace for f being Point of
  R_NormSpace_of_BoundedLinearOperators(X,Y) st f = 0.
  R_NormSpace_of_BoundedLinearOperators(X,Y) holds 0 = ||.f.||
proof
  let X, Y be RealNormSpace;
  let f being Point of R_NormSpace_of_BoundedLinearOperators(X,Y) such that
A1: f = 0.R_NormSpace_of_BoundedLinearOperators(X,Y);
  thus ||.f.|| = 0
  proof
    reconsider g=f as Lipschitzian LinearOperator of X,Y by Def9;
    set z = (the carrier of X) --> 0.Y;
    reconsider z as Function of the carrier of X, the carrier of Y;
    consider r0 be object such that
A2: r0 in PreNorms(g) by XBOOLE_0:def 1;
    reconsider r0 as Real by A2;
A3: (for s be Real st s in PreNorms(g) holds s <= 0) implies upper_bound
    PreNorms(g) <= 0 by SEQ_4:45;
A4: PreNorms(g) is non empty bounded_above by Th27;
A5: z=g by A1,Th31;
A6: now
      let r be Real;
      assume r in PreNorms(g);
      then consider t be VECTOR of X such that
A7:   r=||.g.t.|| and
      ||.t.|| <= 1;
      ||.g.t.|| = ||.0.Y.|| by A5,FUNCOP_1:7
        .= 0;
      hence 0 <= r & r <=0 by A7;
    end;
    then 0 <= r0 by A2;
    then upper_bound PreNorms(g) = 0 by A6,A4,A2,A3,SEQ_4:def 1;
    then BoundedLinearOperatorsNorm(X,Y).f=0 by Th30;
    hence thesis;
  end;
end;

registration
  let X,Y be RealNormSpace;
  cluster -> Function-like Relation-like for Element of
    R_NormSpace_of_BoundedLinearOperators(X,Y);
  coherence;
end;

definition
  let X,Y be RealNormSpace;
  let f be Element of R_NormSpace_of_BoundedLinearOperators(X,Y);
  let v be VECTOR of X;
  redefine func f.v -> VECTOR of Y;  :: redefines . (FUNCT_1, definition)
  coherence
  proof
    reconsider f as LinearOperator of X,Y by Def9;
    f.v is VECTOR of Y;
    hence thesis;
  end;
end;

theorem Th35:
  for X, Y be RealNormSpace for f,g,h be Point of
R_NormSpace_of_BoundedLinearOperators(X,Y) holds h = f+g iff for x be VECTOR of
  X holds h.x = f.x + g.x
proof
  let X, Y be RealNormSpace;
  let f,g,h be Point of R_NormSpace_of_BoundedLinearOperators(X,Y);
  reconsider f1=f, g1=g, h1=h as VECTOR of
  R_VectorSpace_of_BoundedLinearOperators(X,Y);
  h=f+g iff h1=f1+g1;
  hence thesis by Th24;
end;

theorem Th36:
  for X, Y be RealNormSpace for f,h be Point of
R_NormSpace_of_BoundedLinearOperators(X,Y)
for a be Real holds h = a*f iff for
  x be VECTOR of X holds h.x = a * f.x
proof
  let X, Y be RealNormSpace;
  let f,h be Point of R_NormSpace_of_BoundedLinearOperators(X,Y);
  let a be Real;
  reconsider f1=f as VECTOR of R_VectorSpace_of_BoundedLinearOperators(X,Y);
  reconsider h1=h as VECTOR of R_VectorSpace_of_BoundedLinearOperators(X,Y);
  h=a*f iff h1=a*f1;
  hence thesis by Th25;
end;

theorem Th37:
  for X be RealNormSpace for Y be RealNormSpace for f, g being
Point of R_NormSpace_of_BoundedLinearOperators(X,Y)
 for a be Real holds ( ||.f
  .|| = 0 iff f = 0.R_NormSpace_of_BoundedLinearOperators(X,Y) ) & ||.a*f.|| =
  |.a.| * ||.f.|| & ||.f+g.|| <= ||.f.|| + ||.g.||
proof
  let X be RealNormSpace;
  let Y be RealNormSpace;
  let f, g being Point of R_NormSpace_of_BoundedLinearOperators(X,Y);
  let a be Real;
A1: now
    assume
A2: f = 0.R_NormSpace_of_BoundedLinearOperators(X,Y);
    thus ||.f.|| = 0
    proof
      reconsider g=f as Lipschitzian LinearOperator of X,Y by Def9;
      set z = (the carrier of X) --> 0.Y;
      reconsider z as Function of the carrier of X, the carrier of Y;
      consider r0 be object such that
A3:   r0 in PreNorms(g) by XBOOLE_0:def 1;
      reconsider r0 as Real by A3;
A4:   (for s be Real st s in PreNorms(g) holds s <= 0)
 implies upper_bound
      PreNorms(g) <= 0 by SEQ_4:45;
A5:   PreNorms(g) is non empty bounded_above by Th27;
A6:   z=g by A2,Th31;
A7:   now
        let r be Real;
        assume r in PreNorms(g);
        then consider t be VECTOR of X such that
A8:     r=||.g.t.|| and
        ||.t.|| <= 1;
        ||.g.t.|| = ||.0.Y.|| by A6,FUNCOP_1:7
          .= 0;
        hence 0 <= r & r <=0 by A8;
      end;
      then 0<=r0 by A3;
      then upper_bound PreNorms(g) = 0 by A7,A5,A3,A4,SEQ_4:def 1;
      then BoundedLinearOperatorsNorm(X,Y).f =0 by Th30;
      hence thesis;
    end;
  end;
A9: ||.f+g.|| <= ||.f.|| + ||.g.||
  proof
    reconsider f1=f, g1=g, h1=f+g as Lipschitzian LinearOperator of X,Y
    by Def9;
A10: ( for s be Real st s in PreNorms(h1) holds s <= ||.f.|| + ||.g
    .||) implies upper_bound PreNorms(h1) <= ||.f.|| + ||.g.|| by SEQ_4:45;
A11: now
      let t be VECTOR of X such that
A12:  ||.t.|| <= 1;
      0 <= ||.g.|| by Th33;
      then
A13:  ||.g.||*||.t.|| <= ||.g.||*1 by A12,XREAL_1:64;
      0 <= ||.f.|| by Th33;
      then ||.f.||*||.t.|| <= ||.f.||*1 by A12,XREAL_1:64;
      then
A14:  ||.f.||*||.t.|| + ||.g.||*||.t.|| <= ||.f.||*1 + ||.g.||*1 by A13,
XREAL_1:7;
A15:  ||.f1.t+g1.t.|| <=||.f1.t.||+||.g1.t.|| by NORMSP_1:def 1;
A16:  ||.g1.t.||<= ||.g.||*||.t.|| by Th32;
      ||.f1.t.||<= ||.f.||*||.t.|| by Th32;
      then ||.f1.t.||+||.g1.t.|| <= ||.f.||*||.t.|| + ||.g.||*||.t.|| by A16,
XREAL_1:7;
      then
A17:  ||.f1.t.||+||.g1.t.|| <= ||.f.|| + ||.g.|| by A14,XXREAL_0:2;
      ||.h1.t.||= ||.f1.t+g1.t.|| by Th35;
      hence ||.h1.t.|| <= ||.f.|| + ||.g.|| by A15,A17,XXREAL_0:2;
    end;
A18: now
      let r be Real;
      assume r in PreNorms(h1);
      then ex t be VECTOR of X st r=||.h1.t.|| & ||.t.|| <= 1;
      hence r <= ||.f.|| + ||.g.|| by A11;
    end;
    BoundedLinearOperatorsNorm(X,Y).(f+g) = upper_bound PreNorms(h1) by Th30;
    hence thesis by A18,A10;
  end;
A19: ||.a*f.|| = |.a.| * ||.f.||
  proof
    reconsider f1=f, h1=a*f as Lipschitzian LinearOperator of X,Y by Def9;
A20: (for s be Real st s in PreNorms(h1) holds s <= |.a.|*||.f.||
    ) implies upper_bound PreNorms(h1) <= |.a.|*||.f.|| by SEQ_4:45;
A21: now
A22:  0 <= ||.f.|| by Th33;
      let t be VECTOR of X;
      assume ||.t.|| <= 1;
      then
A23:  ||.f.||*||.t.|| <= ||.f.||*1 by A22,XREAL_1:64;
      ||.f1.t.||<= ||.f.||*||.t.|| by Th32;
      then
A24:  ||.f1.t.|| <= ||.f.|| by A23,XXREAL_0:2;
A25:  ||.a*f1.t.|| =|.a.|*||.f1.t.|| by NORMSP_1:def 1;
A26:  0<= |.a.| by COMPLEX1:46;
      ||.h1.t.||= ||.a*f1.t.|| by Th36;
      hence ||.h1.t.|| <= |.a.|*||.f.|| by A25,A24,A26,XREAL_1:64;
    end;
A27: now
      let r be Real;
      assume r in PreNorms(h1);
      then ex t be VECTOR of X st r=||.h1.t.|| & ||.t.|| <= 1;
      hence r <= |.a.|*||.f.|| by A21;
    end;
A28: now
      per cases;
      case
A29:    a <> 0;
A30:    now
A31:      0 <= ||.a*f.|| by Th33;
          let t be VECTOR of X;
          assume ||.t.|| <= 1;
          then
A32:      ||.a*f.||*||.t.|| <= ||.a*f.||*1 by A31,XREAL_1:64;
          ||.h1.t.||<= ||.a*f.||*||.t.|| by Th32;
          then
A33:      ||.h1.t.|| <= ||.a*f.|| by A32,XXREAL_0:2;
          h1.t=a*f1.t by Th36;
          then
A34:      a"*h1.t =( a"* a)*f1.t by RLVECT_1:def 7
            .=1*f1.t by A29,XCMPLX_0:def 7
            .=f1.t by RLVECT_1:def 8;
A35:      |.a".| =|.1*a".| .=|. 1/a.| by XCMPLX_0:def 9
            .=1/|.a.| by ABSVALUE:7
            .=1*|.a.|" by XCMPLX_0:def 9
            .=|.a.|";
A36:      0<= |.a".| by COMPLEX1:46;
          ||.a"*h1.t.|| =|.a".|*||.h1.t.|| by NORMSP_1:def 1;
          hence ||.f1.t.|| <= |.a.|"*||.a*f.|| by A34,A33,A36,A35,XREAL_1:64;
        end;
A37:    now
          let r be Real;
          assume r in PreNorms(f1);
          then ex t be VECTOR of X st r=||.f1.t.|| & ||.t.|| <= 1;
          hence r <= |.a.|"*||.a*f.|| by A30;
        end;
A38:    ( for s be Real st s in PreNorms(f1) holds s <= |.a.|"*
        ||.a*f.|| ) implies upper_bound PreNorms(f1) <= |.a.|"*||.a*f.||
        by SEQ_4:45;
A39:    0 <= |.a.| by COMPLEX1:46;
        BoundedLinearOperatorsNorm(X,Y).(f) = upper_bound PreNorms(f1) by Th30;
        then ||.f.|| <=|.a.|"*||.a*f.|| by A37,A38;
        then |.a.|*||.f.|| <=|.a.|*(|.a.|"*||.a*f.||) by A39,XREAL_1:64;
        then
A40:    |.a.|*||.f.|| <=(|.a.|*|.a.|")*||.a*f.||;
        |.a.| <>0 by A29,COMPLEX1:47;
        then |.a.|*||.f.|| <=1*||.a*f.|| by A40,XCMPLX_0:def 7;
        hence |.a.|* ||.f.|| <=||.a*f.||;
      end;
      case
A41:    a=0;
        reconsider fz=f as VECTOR of R_VectorSpace_of_BoundedLinearOperators(X
        ,Y);
A42:    a*f =a*fz
          .=0.R_VectorSpace_of_BoundedLinearOperators(X,Y) by A41,RLVECT_1:10
          .=0.R_NormSpace_of_BoundedLinearOperators(X,Y);
        thus |.a.|* ||.f.|| =0 * ||.f.|| by A41,ABSVALUE:2
          .=||.a*f.|| by A42,Th34;
      end;
    end;
    BoundedLinearOperatorsNorm(X,Y).(a*f) = upper_bound PreNorms(h1) by Th30;
    then ||.a*f.|| <= |.a.|*||.f.|| by A27,A20;
    hence thesis by A28,XXREAL_0:1;
  end;
  now
    reconsider g=f as Lipschitzian LinearOperator of X,Y by Def9;
    set z = (the carrier of X) --> 0.Y;
    reconsider z as Function of the carrier of X, the carrier of Y;
    assume
A43: ||.f.|| = 0;
    now
      let t be VECTOR of X;
      ||.g.t.|| <= ||.f.|| *||.t.|| by Th32;
      then ||.g.t.|| = 0 by A43;
      hence g.t =0.Y by NORMSP_0:def 5
        .=z.t by FUNCOP_1:7;
    end;
    then g=z by FUNCT_2:63;
    hence f=0.R_NormSpace_of_BoundedLinearOperators(X,Y) by Th31;
  end;
  hence thesis by A1,A19,A9;
end;

theorem Th38:
  for X,Y be RealNormSpace holds R_NormSpace_of_BoundedLinearOperators(X,Y) is
   reflexive discerning RealNormSpace-like
proof
  let X,Y be RealNormSpace;
  thus ||.0.R_NormSpace_of_BoundedLinearOperators(X,Y).|| = 0 by Th37;
  for x, y being Point of R_NormSpace_of_BoundedLinearOperators(X,Y)
  for a be Real
    holds ( ||.x.|| = 0 iff x = 0.R_NormSpace_of_BoundedLinearOperators(X,Y
  ) ) & ||.a*x.|| = |.a.| * ||.x.|| & ||.x+y.|| <= ||.x.|| + ||.y.|| by Th37;
  hence thesis by NORMSP_1:def 1;
end;

theorem Th39:
  for X, Y be RealNormSpace holds
  R_NormSpace_of_BoundedLinearOperators(X,Y) is RealNormSpace
proof
  let X, Y be RealNormSpace;
  RLSStruct (# BoundedLinearOperators(X,Y), Zero_(BoundedLinearOperators(X
,Y), R_VectorSpace_of_LinearOperators(X,Y)), Add_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)), Mult_(BoundedLinearOperators(X,Y),
    R_VectorSpace_of_LinearOperators(X,Y)) #) is RealLinearSpace;
  hence thesis by Th38,RSSPACE3:2;
end;

registration
  let X, Y be RealNormSpace;
  cluster R_NormSpace_of_BoundedLinearOperators(X,Y) ->
   reflexive discerning RealNormSpace-like
vector-distributive scalar-distributive scalar-associative scalar-unital
Abelian add-associative right_zeroed right_complementable;
  coherence by Th39;
end;

theorem Th40:
  for X, Y be RealNormSpace for f,g,h be Point of
R_NormSpace_of_BoundedLinearOperators(X,Y) holds h = f-g iff for x be VECTOR of
  X holds h.x = f.x - g.x
proof
  let X, Y be RealNormSpace;
  let f,g,h be Point of R_NormSpace_of_BoundedLinearOperators(X,Y);
  reconsider f9=f,g9=g,h9=h as Lipschitzian LinearOperator of X,Y by Def9;
  hereby
    assume h=f-g;
    then h+g=f-(g-g) by RLVECT_1:29;
    then h+g=f-0.R_NormSpace_of_BoundedLinearOperators(X,Y) by RLVECT_1:15;
    then
A1: h+g=f;
    now
      let x be VECTOR of X;
      f9.x=h9.x + g9.x by A1,Th35;
      then f9.x-g9.x=h9.x + (g9.x-g9.x) by RLVECT_1:def 3;
      then f9.x-g9.x=h9.x + 0.Y by RLVECT_1:15;
      hence f9.x-g9.x=h9.x;
    end;
    hence for x be VECTOR of X holds h.x = f.x - g.x;
  end;
  assume
A2: for x be VECTOR of X holds h.x = f.x - g.x;
  now
    let x be VECTOR of X;
    h9.x = f9.x - g9.x by A2;
    then h9.x + g9.x= f9.x - (g9.x- g9.x) by RLVECT_1:29;
    then h9.x + g9.x= f9.x - 0.Y by RLVECT_1:15;
    hence h9.x + g9.x= f9.x;
  end;
  then f=h+g by Th35;
  then f-g=h+(g-g) by RLVECT_1:def 3;
  then f-g=h+0.R_NormSpace_of_BoundedLinearOperators(X,Y) by RLVECT_1:15;
  hence thesis;
end;

begin :: Real Banach Space of Bounded Linear Operators

definition
  let X be RealNormSpace;
  attr X is complete means
  :Def15:
  for seq be sequence of X holds seq is
  Cauchy_sequence_by_Norm implies seq is convergent;
end;

registration
  cluster complete for RealNormSpace;
  existence
  by Def15,RSSPACE3:9;
end;

definition
  mode RealBanachSpace is complete RealNormSpace;
end;

Lm3: for e be Real, seq be Real_Sequence st ( seq is convergent &
   ex k be
Nat st for i be Nat st k <= i holds seq.i <=e ) holds lim
seq <=e
proof
  let e be Real;
  let seq be Real_Sequence such that
A1: seq is convergent and
A2: ex k be Nat st for i be Nat st k <= i holds
  seq.i <=e;
  consider k be Nat such that
A3: for i be Nat st k <= i holds seq.i <=e by A2;
  reconsider ee=e as Element of REAL by XREAL_0:def 1;
 set cseq = seq_const e;
A4: lim cseq = cseq.0 by SEQ_4:26
    .= e by SEQ_1:57;
A5: now
    let i be Nat;
A6: (seq ^\k).i = seq.(k+i) by NAT_1:def 3;
    seq.(k+i) <=e by A3,NAT_1:11;
    hence (seq ^\k) .i <= cseq.i by A6,SEQ_1:57;
  end;
  lim (seq ^\k)=lim seq by A1,SEQ_4:20;
  hence thesis by A1,A5,A4,SEQ_2:18;
end;

theorem Th41:
  for X be RealNormSpace for seq be sequence of X st seq is
  convergent holds ||.seq.|| is convergent & lim ||.seq.|| = ||.lim seq.||
proof
  let X be RealNormSpace;
  let seq be sequence of X such that
A1: seq is convergent;
A2: now
    let e1 be Real such that
A3: e1 >0;
    reconsider e =e1 as Real;
    consider k be Nat such that
A4: for n be Nat st n >= k holds ||.seq.n - lim seq.|| < e
    by A1,A3,NORMSP_1:def 7;
     reconsider k as Nat;
    take k;
    now
      let m be Nat;
      assume m >= k;
      then
A5:   ||.seq.m - lim seq.|| <e by A4;
      ||.seq.m.||= ||.seq.||.m by NORMSP_0:def 4;
      then |. ||.seq.||.m - ||.lim seq.|| .| <= ||.seq.m - lim seq.|| by
NORMSP_1:9;
      hence |. ||.seq.||.m - ||.lim seq.|| .| <e1 by A5,XXREAL_0:2;
    end;
    hence for m be Nat st m >= k holds |.||.seq.||.m - ||.lim seq
    .|| .| < e1;
  end;
  then ||.seq.|| is convergent by SEQ_2:def 6;
  hence thesis by A2,SEQ_2:def 7;
end;

theorem Th42:
  for X, Y be RealNormSpace st Y is complete for seq be sequence
of R_NormSpace_of_BoundedLinearOperators(X,Y) st seq is Cauchy_sequence_by_Norm
  holds seq is convergent
proof
  let X, Y be RealNormSpace such that
A1: Y is complete;
  let vseq be sequence of R_NormSpace_of_BoundedLinearOperators(X,Y) such that
A2: vseq is Cauchy_sequence_by_Norm;
  defpred P[set, set] means ex xseq be sequence of Y st
   (for n be Nat holds xseq.n=modetrans((vseq.n),X,Y).$1) &
     xseq is convergent & $2= lim xseq;
A3: for x be Element of X ex y be Element of Y st P[x,y]
  proof
    let x be Element of X;
    deffunc F(Nat) = modetrans((vseq.$1),X,Y).x;
    consider xseq be sequence of Y such that
A4: for n be Element of NAT holds xseq.n = F(n) from FUNCT_2:sch 4;
A5: for n be Nat holds xseq.n = F(n)
     proof let n be Nat;
      n in NAT by ORDINAL1:def 12;
      hence thesis by A4;
     end;
    take lim xseq;
A6: for m,k be Nat holds ||.xseq.m-xseq.k.|| <= ||.vseq.m -
    vseq.k.|| * ||.x.||
    proof
      let m,k be Nat;
      reconsider h1=vseq.m-vseq.k as Lipschitzian LinearOperator of X,Y
      by Def9;
      k in NAT by ORDINAL1:def 12;
      then
A7:   xseq.k =modetrans((vseq.k),X,Y).x by A4;
      vseq.m is Lipschitzian LinearOperator of X,Y by Def9;
      then
A8:   modetrans((vseq.m),X,Y)=vseq.m by Th29;
      vseq.k is Lipschitzian LinearOperator of X,Y by Def9;
      then
A9:   modetrans((vseq.k),X,Y)=vseq.k by Th29;
      m in NAT by ORDINAL1:def 12;
      then
      xseq.m =modetrans((vseq.m),X,Y).x by A4;
      then xseq.m - xseq.k = h1.x by A8,A9,A7,Th40;
      hence thesis by Th32;
    end;
    now
      let e be Real such that
A10:   e > 0;
      now
        per cases;
        case
A11:      x=0.X;
          reconsider k=0 as Nat;
          take k;
          thus for n, m be Nat st n >= k & m >= k holds ||.xseq.n -
          xseq.m.|| < e
          proof
            let n, m be Nat such that
            n >= k and
            m >= k;
      m in NAT by ORDINAL1:def 12;
      then
A12:        xseq.m=modetrans((vseq.m),X,Y).x by A4
              .=modetrans((vseq.m),X,Y).(0*x) by A11
              .=0*modetrans((vseq.m),X,Y).x by Def5
              .=0.Y by RLVECT_1:10;
      n in NAT by ORDINAL1:def 12;
      then
            xseq.n=modetrans((vseq.n),X,Y).x by A4
              .=modetrans((vseq.n),X,Y).(0*x) by A11
              .=0*modetrans((vseq.n),X,Y).x by Def5
              .=0.Y by RLVECT_1:10;
            then ||.xseq.n -xseq.m.|| = ||.0.Y.|| by A12
              .=0;
            hence thesis by A10;
          end;
        end;
        case
          x <>0.X;
          then
A13:      ||.x.|| <> 0 by NORMSP_0:def 5;
          then
A14:      ||.x.|| > 0;
          then e/||.x.||>0 by A10,XREAL_1:139;
          then consider k be Nat such that
A15:      for n, m be Nat st n >= k & m >= k holds ||.(
          vseq.n) - (vseq.m).|| < e/||.x.|| by A2,RSSPACE3:8;
          take k;
          thus for n, m be Nat st n >= k & m >= k holds ||.xseq.n-
          xseq.m.|| < e
          proof
            let n,m be Nat such that
A16:        n >=k and
A17:        m >= k;
            ||.(vseq.n) - (vseq.m).|| < e/||.x.|| by A15,A16,A17;
            then
A18:        ||.(vseq.n) - (vseq.m).|| * ||.x.|| < e/||.x.|| * ||.x.|| by A14,
XREAL_1:68;
A19:        e/||.x.|| * ||.x.|| = e*||.x.||"* ||.x.|| by XCMPLX_0:def 9
              .= e*(||.x.||"* ||.x.||)
              .= e*1 by A13,XCMPLX_0:def 7
              .=e;
            ||.xseq.n-xseq.m.|| <= ||.(vseq.n) - (vseq.m).|| * ||.x.|| by A6;
            hence thesis by A18,A19,XXREAL_0:2;
          end;
        end;
      end;
      hence ex k be Nat st for n, m be Nat st n >= k & m
      >= k holds ||.xseq.n -xseq.m.|| < e;
    end;
    then xseq is Cauchy_sequence_by_Norm by RSSPACE3:8;
    then xseq is convergent by A1;
    hence thesis by A5;
  end;
  consider f be Function of the carrier of X,the carrier of Y such that
A20: for x be Element of X holds P[x,f.x] from FUNCT_2:sch 3(A3);
  reconsider tseq=f as Function of X,Y;
A21: now
    let x,y be VECTOR of X;
    consider xseq be sequence of Y such that
A22: for n be Nat holds xseq.n=modetrans((vseq.n),X,Y).x and
A23: xseq is convergent and
A24: tseq.x = lim xseq by A20;
    consider zseq be sequence of Y such that
A25: for n be Nat holds zseq.n=modetrans((vseq.n),X,Y).(x+y ) and
    zseq is convergent and
A26: tseq.(x+y) = lim zseq by A20;
    consider yseq be sequence of Y such that
A27: for n be Nat holds yseq.n=modetrans((vseq.n),X,Y).y and
A28: yseq is convergent and
A29: tseq.y = lim yseq by A20;
    now
      let n be Nat;
      thus zseq.n=modetrans((vseq.n),X,Y).(x+y) by A25
        .= modetrans((vseq.n),X,Y).x+modetrans((vseq.n),X,Y).y
         by VECTSP_1:def 20
        .= xseq.n + modetrans((vseq.n),X,Y).y by A22
        .= xseq.n +yseq.n by A27;
    end;
    then zseq=xseq+yseq by NORMSP_1:def 2;
    hence tseq.(x+y)=tseq.x+tseq.y by A23,A24,A28,A29,A26,NORMSP_1:25;
  end;
  now
    let x be VECTOR of X;
    let a be Real;
    consider xseq be sequence of Y such that
A30: for n be Nat holds xseq.n=modetrans((vseq.n),X,Y).x and
A31: xseq is convergent and
A32: tseq.x = lim xseq by A20;
    consider zseq be sequence of Y such that
A33: for n be Nat holds zseq.n=modetrans((vseq.n),X,Y).(a*x ) and
    zseq is convergent and
A34: tseq.(a*x) = lim zseq by A20;
    now
      let n be Nat;
      thus zseq.n=modetrans((vseq.n),X,Y).(a*x) by A33
        .= a*modetrans((vseq.n),X,Y).x by Def5
        .= a*xseq.n by A30;
    end;
    then zseq=a*xseq by NORMSP_1:def 5;
    hence tseq.(a*x)=a*tseq.x by A31,A32,A34,NORMSP_1:28;
  end;
  then reconsider tseq as LinearOperator of X,Y by A21,Def5,VECTSP_1:def 20;
  now
    let e1 be Real such that
A35: e1 >0;
    reconsider e =e1 as Real;
    consider k be Nat such that
A36: for n, m be Nat st n >= k & m >= k holds ||.(vseq.n) -
    (vseq.m).|| < e by A2,A35,RSSPACE3:8;
     reconsider k as Nat;
    take k;
    now
      let m be Nat;
      assume m >= k;
      then
A37:  ||.(vseq.m) - (vseq.k).|| <e by A36;
A38:  ||.vseq.m.||= ||.vseq.||.m by NORMSP_0:def 4;
A39:  ||.vseq.k.||= ||.vseq.||.k by NORMSP_0:def 4;
      |. ||.vseq.m.||- ||.vseq.k.|| .| <= ||.(vseq.m) - (vseq.k).|| by
NORMSP_1:9;
      hence |. ||.vseq.||.m - ||.vseq.||.k .| <e1 by A39,A38,A37,XXREAL_0:2;
    end;
    hence
    for m be Nat st m >= k holds |.||.vseq.||.m - ||.vseq.||
    .k .| < e1;
  end;
  then
A40: ||.vseq.|| is convergent by SEQ_4:41;
A41: tseq is Lipschitzian
  proof
    take lim (||.vseq.|| );
A42: now
      let x be VECTOR of X;
      consider xseq be sequence of Y such that
A43:  for n be Nat holds xseq.n=modetrans((vseq.n),X,Y).x and
A44:  xseq is convergent and
A45:  tseq.x = lim xseq by A20;
A46:  ||.tseq.x.|| = lim ||.xseq.|| by A44,A45,Th20;
A47:  for m be Nat holds ||.xseq.m.|| <= ||.vseq.m.|| * ||.x .||
      proof
        let m be Nat;
A48:    xseq.m =modetrans((vseq.m),X,Y).x by A43;
        vseq.m is Lipschitzian LinearOperator of X,Y by Def9;
        hence thesis by A48,Th29,Th32;
      end;
A49:  for n be Nat holds ||.xseq.||.n <= ( ||.x.||(#)||.vseq .||).n
      proof
        let n be Nat;
A50:    ||.xseq.||.n = ||.(xseq.n).|| by NORMSP_0:def 4;
A51:    ||.vseq.n.|| = ||.vseq.||.n by NORMSP_0:def 4;
        ||.(xseq.n).|| <= ||.vseq.n.|| * ||.x.|| by A47;
        hence thesis by A50,A51,SEQ_1:9;
      end;
A52:  ||.x.||(#)||.vseq.|| is convergent by A40;
A53:  lim ( ||.x.||(#)||.vseq.|| ) = lim (||.vseq.|| )* ||.x.|| by A40,SEQ_2:8;
      ||.xseq.|| is convergent by A44,A45,Th20;
      hence ||.tseq.x.|| <= lim (||.vseq.|| )* ||.x.|| by A46,A49,A52,A53,
SEQ_2:18;
    end;
    now
      let n be Nat;
      ||.vseq.n.|| >=0;
      hence ||.vseq.||.n >=0 by NORMSP_0:def 4;
    end;
    hence thesis by A40,A42,SEQ_2:17;
  end;
A54: for e be Real
    st e > 0 ex k be Nat st for n be Nat st n >= k
    holds for x be VECTOR of X holds ||.modetrans((vseq.n),X,Y).x -
  tseq.x.|| <= e* ||.x.||
  proof
    let e be Real;
    assume e > 0;
    then consider k be Nat such that
A55: for n, m be Nat st n >= k & m >= k holds ||.(vseq.n) -
    (vseq.m).|| < e by A2,RSSPACE3:8;
    take k;
    now
      let n be Nat such that
A56:  n >= k;
      now
        let x be VECTOR of X;
        consider xseq be sequence of Y such that
A57:    for n be Nat holds xseq.n=modetrans((vseq.n),X,Y). x and
A58:    xseq is convergent and
A59:    tseq.x = lim xseq by A20;
A60:    for m,k be Nat holds ||.xseq.m-xseq.k.|| <= ||.vseq.m
        - vseq.k.|| * ||.x.||
        proof
          let m,k be Nat;
          reconsider h1=vseq.m-vseq.k as Lipschitzian LinearOperator of X,Y
          by Def9;
A61:      xseq.k =modetrans((vseq.k),X,Y).x by A57;
          vseq.m is Lipschitzian LinearOperator of X,Y by Def9;
          then
A62:      modetrans((vseq.m),X,Y)=vseq.m by Th29;
          vseq.k is Lipschitzian LinearOperator of X,Y by Def9;
          then
A63:      modetrans((vseq.k),X,Y)=vseq.k by Th29;
          xseq.m =modetrans((vseq.m),X,Y).x by A57;
          then xseq.m - xseq.k =h1.x by A62,A63,A61,Th40;
          hence thesis by Th32;
        end;
A64:    for m be Nat st m >=k holds ||.xseq.n-xseq.m.|| <= e *
        ||.x.||
        proof
          let m be Nat;
          assume m >=k;
          then
A65:      ||.vseq.n - vseq.m.|| <e by A55,A56;
A66:      ||.xseq.n-xseq.m.|| <= ||.vseq.n - vseq.m.|| * ||.x.|| by A60;
          ||.vseq.n - vseq.m.|| * ||.x.|| <= e* ||.x.|| by A65,XREAL_1:64;
          hence thesis by A66,XXREAL_0:2;
        end;
        ||.xseq.n-tseq.x.|| <= e * ||.x.||
        proof
          deffunc F(Nat) = ||.xseq.$1 - xseq.n.||;
          consider rseq be Real_Sequence such that
A67:      for m be Nat holds rseq.m = F(m) from SEQ_1:sch
          1;
          now
            let x be object;
            assume x in NAT;
            then reconsider k=x as Nat;
            thus rseq.x = ||.xseq.k - xseq.n.|| by A67
              .= ||.(xseq - xseq.n).k.|| by NORMSP_1:def 4
              .= ||.(xseq - xseq.n).||.x by NORMSP_0:def 4;
          end;
          then
A68:      rseq = ||.xseq - xseq.n.|| by FUNCT_2:12;
A69:      xseq - xseq.n is convergent by A58,NORMSP_1:21;
          lim (xseq-xseq.n)= tseq.x - xseq.n by A58,A59,NORMSP_1:27;
          then
A70:      lim rseq = ||.tseq.x-xseq.n.|| by A69,A68,Th41;
          for m be Nat st m >= k holds rseq.m <= e * ||.x.||
          proof
            let m be Nat such that
A71:        m >=k;
            rseq.m = ||.xseq.m-xseq.n.|| by A67
              .= ||.xseq.n-xseq.m.|| by NORMSP_1:7;
            hence thesis by A64,A71;
          end;
          then lim rseq <= e * ||.x.|| by A69,A68,Lm3,Th41;
          hence thesis by A70,NORMSP_1:7;
        end;
        hence ||.modetrans((vseq.n),X,Y).x - tseq.x.|| <= e* ||.x.|| by A57;
      end;
      hence
      for x be VECTOR of X holds ||.modetrans((vseq.n),X,Y).x - tseq.x.||
      <= e* ||.x.||;
    end;
    hence thesis;
  end;
  reconsider tseq as Lipschitzian LinearOperator of X,Y by A41;
  reconsider tv=tseq as Point of R_NormSpace_of_BoundedLinearOperators(X,Y) by
Def9;
A72: for e be Real st e > 0
  ex k be Nat st for n be Nat st n >= k holds ||.vseq.n - tv.|| <= e
  proof
    let e be Real such that
A73: e > 0;
    consider k be Nat such that
A74: for n be Nat st n >= k holds for x be VECTOR of X
    holds ||.modetrans((vseq.n),X,Y).x - tseq.x.|| <= e* ||.x.|| by A54,A73;
    now
      set g1=tseq;
      let n be Nat such that
A75:  n >= k;
      reconsider h1=vseq.n-tv as Lipschitzian LinearOperator of X,Y by Def9;
      set f1=modetrans((vseq.n),X,Y);
A76:  now
        let t be VECTOR of X;
        assume ||.t.|| <= 1;
        then
A77:    e*||.t.|| <= e*1 by A73,XREAL_1:64;
A78:    ||.f1.t-g1.t.|| <=e* ||.t.|| by A74,A75;
        vseq.n is Lipschitzian LinearOperator of X,Y by Def9;
        then modetrans((vseq.n),X,Y)=vseq.n by Th29;
        then ||.h1.t.||= ||.f1.t-g1.t.|| by Th40;
        hence ||.h1.t.|| <=e by A78,A77,XXREAL_0:2;
      end;
A79:  now
        let r be Real;
        assume r in PreNorms(h1);
        then ex t be VECTOR of X st r=||.h1.t.|| & ||.t.|| <= 1;
        hence r <=e by A76;
      end;
A80:  (for s be Real st s in PreNorms(h1) holds s <= e) implies
      upper_bound PreNorms(h1) <=e by SEQ_4:45;
      BoundedLinearOperatorsNorm(X,Y).(vseq.n-tv) = upper_bound PreNorms(h1)
      by Th30;
      hence ||.vseq.n-tv.|| <=e by A79,A80;
    end;
    hence thesis;
  end;
  for e be Real
    st e > 0 ex m be Nat st for n be Nat st n >= m
         holds ||.(vseq.n) - tv.|| < e
  proof
    let e be Real such that
A81: e > 0;
    consider m be Nat such that
A82: for n be Nat st n >= m holds ||.(vseq.n) - tv.|| <= e
    /2 by A72,A81,XREAL_1:215;
A83: e/2<e by A81,XREAL_1:216;
    now
      let n be Nat;
      assume n >= m;
      then ||.(vseq.n) - tv.|| <= e/2 by A82;
      hence ||.(vseq.n) - tv.|| < e by A83,XXREAL_0:2;
    end;
    hence thesis;
  end;
  hence thesis by NORMSP_1:def 6;
end;

theorem Th43:
  for X be RealNormSpace for Y be RealBanachSpace holds
  R_NormSpace_of_BoundedLinearOperators(X,Y) is RealBanachSpace
proof
  let X be RealNormSpace;
  let Y be RealBanachSpace;
  for seq be sequence of R_NormSpace_of_BoundedLinearOperators(X,Y) st seq
  is Cauchy_sequence_by_Norm holds seq is convergent by Th42;
  hence thesis by Def15;
end;

registration
  let X be RealNormSpace;
  let Y be RealBanachSpace;
  cluster R_NormSpace_of_BoundedLinearOperators (X,Y) -> complete;
  coherence by Th43;
end;