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function [eigenvalues_,result,info] = check(M, options, oo)
% Checks determinacy conditions by computing the generalized eigenvalues.
%
% INPUTS
% - M [structure] Matlab's structure describing the model (M_).
% - options [structure] Matlab's structure describing the current options (options_).
% - oo [structure] Matlab's structure containing the results (oo_).
%
% OUTPUTS
% - eigenvalues_ [double] vector, eigenvalues.
% - result [integer] scalar, equal to 1 if Blanchard and Kahn conditions are satisfied, zero otherwise.
% - info [integer] scalar or vector, error code as returned by resol routine.
% Copyright (C) 2001-2019 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
if ~options.initval_file && M.exo_nbr > 1
oo.exo_simul = ones(M.maximum_lead+M.maximum_lag+1,1)*oo.exo_steady_state';
end
options.order = 1;
if isempty(options.qz_criterium)
options.qz_criterium = 1+1e-6;
end
oo.dr=set_state_space(oo.dr,M,options);
[dr,info,M,options,~] = resol(1,M,options,oo);
if info(1) ~= 0 && info(1) ~= 3 && info(1) ~= 4
print_info(info, 0, options);
end
eigenvalues_ = dr.eigval;
[m_lambda,i]=sort(abs(eigenvalues_));
% Count number of forward looking variables
if ~options.block
nyf = M.nsfwrd;
else
nyf = 0;
for j = 1:length(M.block_structure.block)
nyf = nyf + M.block_structure.block(j).n_forward + M.block_structure.block(j).n_mixed;
end
end
result = 0;
if (nyf == dr.edim) && (dr.full_rank)
result = 1;
end
if ~options.noprint
skipline()
disp('EIGENVALUES:')
disp(sprintf('%16s %16s %16s\n','Modulus','Real','Imaginary'))
z=[m_lambda real(eigenvalues_(i)) imag(eigenvalues_(i))]';
disp(sprintf('%16.4g %16.4g %16.4g\n',z))
disp(sprintf('\nThere are %d eigenvalue(s) larger than 1 in modulus ', dr.edim));
disp(sprintf('for %d forward-looking variable(s)',nyf));
skipline()
if result
disp('The rank condition is verified.')
else
disp('The rank condition ISN''T verified!')
end
skipline()
end
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