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Datei: pointedges.png Sprache: PVS

Original von: PVS^©

% --------------------------------------------------------------
% Linear Algebra library
% Heber Herencia-Zapana NIA
% Gilberto Pérez        University of Coruña Spain
% Pablo Ascariz         University of Coruña Spain
% Felicidad Aguado      University of Coruña Spain
% Date: December, 2013
% ---------------------------------------------------------------
% This is the top level file of a linear algebra library for PVS.
%
%
% --------------------------------------------------------------
%  This file is a single component of a library of linear
%  algebra theories. The NASA vector libraries are used.
%

% ---------------------------------------------------------------

%  --------------------------------------------------------------
%  For the most part, we follow the treatmet in the following texts
%
% [FIS] Linear Algebra, S. Friedburg, A.  Insel, and L. Spense, 3rd edition, Prentice-Hall.
%
% [SA]  Linear Algebra Done Right,  S. Axler. 2nd Edition. Springer-Verlag.
%
%   [D]  Topology,  J. Dungundji, Allen and Bacon Co.
%
%   [K]  Introductory Functional Analysis,  Kreysizg, Wiley.
%
%   [R]  Convex Analysis, R. Rockafellar, Princeton University Press
%
%   [J]   A Lecture or the S-Procedure, U. Jonsson
%
%-------------------------------------------------------------------

%-------------------------------------------------------------------
% This theory introduces and defines properties of the summation of
% vector valued functions, F: T -> Rn
%
%                   high
%                 ----
%  (SigmaV(low, high, F))(i) =  \     (F(j))(i)
%                 /
%                 ----
%                j = low
%
%------------------------------------------------------------------

sigma_vector[T: type from int,n: posnat]: THEORY

BEGIN

ASSUMING

    connected_domain: ASSUMPTION (FORALL (x, y: T), (z: integer):
                                     x <= z AND z <= y IMPLIES T_pred(z))
ENDASSUMING

IMPORTING  linear_map

F: VAR FUNCTION [T -> Vector[n]]
d: VAR FUNCTION [T -> real]
low: VAR T_low[T]
high: VAR T_high[T]
a: VAR real

%--------------------------------------------------------------------------------------------
% Defines the vector given by the summation of a vector valued function  over a given range
% -------------------------------------------------------------------------------------------

SigmaV(low,high,F): Vector[n] = (lambda(i: below[n]): sigma(low,high,lambda(j: T): F(j)(i)));

%---------------------------------------------------------------------------
% Defines multiplication of a scalar real by a vector valued function
% --------------------------------------------------------------------------

*: [real,function[T -> Vector[n]] -> function[T -> Vector[n]]] = LAMBDA(a,F): LAMBDA(i: T): a*F(i);

% --------------------------------------------------------------------------
% Defines the multiplication of a vector by a vector valued function
% --------------------------------------------------------------------------

*: [function[T -> real],function[T -> Vector[n]] -> function[T -> Vector[n]]] = LAMBDA(d,F): LAMBDA(i: T): d(i)*F(i);

% --------------------------------------------------------------------------
% Defines the compositon of a map and a vector valued function.
% --------------------------------------------------------------------------

o: [Map(n,n),function[T -> Vector[n]] -> function[T -> Vector[n]]] = LAMBDA(h: Map(n,n),F): LAMBDA(i: T): h`mp(F(i));

%---------------------------------------------------------------------------
% This lemma allow us to isolate the last term of the sum
%---------------------------------------------------------------------------

SigmaV_last: THEOREM high >= low IMPLIES SigmaV(low, high, F) = SigmaV(low, high-1, F) + F(high);

%---------------------------------------------------------------------------
% This lemma allow us to extract an scalar from the sum
%---------------------------------------------------------------------------

SigmaV_scal: LEMMA FORALL (a: real, m,p: T,F: [T -> Vector[n]]): SigmaV(p,m,a*F) = a*SigmaV(p,m,F)

END sigma_vector

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