from research import *
s=begin(1048,'Complete42-coordinate array rank','What is the information content of seven rows, two phases and three clutch positions?',{},['File61 §7','File62 §1'])
from algebra import Matrix
rows=[];labels=[]
for j in [0,1]:
for k in [0,1,2]:
for i in range(7):rows.append([int(a==i) for a in range(7)]+[j,-k]);labels.append([i,j,k])
M=Matrix(rows);a=artifact('model/clutch_array_matrix.json',json.dumps({'labels':labels,'matrix':rows,'rank':M.rank(),'form':'b_i+j·p−k·h'},indent=2)+'\n')
finish(s,{'array':a,'rank':M.rank(),'output_dependency_dimension':42-M.rank()},'The unrestricted array has nine parameters and33 linear output dependencies. Its42 coordinates therefore are not42 independent numerical observations.','Find a minimal observation set and test what missing states conceal.',{'complete_field':M.rows==42,'rank_nine':M.rank()==9,'dependencies':42-M.rank()==33})
Evidence
s1048.py
Linked sources and evidence
Edition and provenance
s1048.py
SHA-256 508a4de5e2f47ba22f76334885e278461d9aae3d44e777c9403d2830b3606b4c
C480–C1634/Research_Cycles/C0932_C1131/evidence/s1048.py