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The Geometry of Collinearity - 1
z
1
z
2
Basis vectors
r
2
r
1
z=Data value
=
1.3
×
r
1
+1.1
×
r
2
Non-collinear
(well-posed)
z
1
z
2
r
2
r
1
z=Data value
=
-
1.8
×
r
1
+7.2
×
r
2
Near-collinear
(ill-posed)
¥
Trying to fit data as a sum of basis vectors that are
nearly parallel doesnÕt work well: solutions can be huge
¥
Exactly parallel basis vectors would be impossible:
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Determinant of matrix to invert would be zero