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This is so because any infinitesimal perturbation ±Œ from an Eigenvalue
Obs
i
(i.e., Obs
i
±Œ) will disappear, as did all other values of obs, except those
for which obs = Obs
i
, and obs will be brought either back to Obs
i
(
stable
Eigenvalue), or to another Eigenvalue Obs
j
(
instable
Eigenvalue Obs
i
).
In other words, Eigenvalues represent
equilibria
, and depending upon
the chosen domain of the primary argument, these equilibria may be
equilibrial values (“Fixed Points”), functional equilibria, operational equi-
libria, structural equilibria, etc.
(ii) that Eigenvalues Obs
i
and their corresponding operators COORD
stand to each other in a complementary relationship, the one implying the
other, and vice versa; there the Obs
i
represent the externally observable
manifestations of the (introspectively accessible) cognitive computations
(operations) COORD.
(iii) that Eigenvalues, because of their self-defining (or self-
generating) nature imply topological “closure” (“circularity”) (see Figures
2 and 3):
This state of affairs allows a symbolic re-formulation of expression (5);
()
∫
n
lim
COORD
COORD
n
Æ•
that is, the snake eating its own tail: cognition computing its own cognitions.
*****
Let there be, for a given operator COORD, at least three Eigenvalues
Obs
1
, Obs
2
, Obs
3
,
FIGURE 2.
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