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similarity and analogous systems dynamic adjointness
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Dynamic Adjointness, Similarity and Analogous Systems.
Categorical comparisons of different types of systems in diagrams provide useful means for their classification and understanding the relations between them. From a global viewpoint, comparing categories of such different systems does reveal useful analogies, or similarities, between systems and also their universal properties. According to Rashevsky (1969), general relations between sets of biological
organisms can be compared with those between societies, thus leading to more general principles pertaining to both. This can be considered as a further, practically useful elaboration of Spencer's philosophical principle ideas in biology and sociology.
When viewed from a formal perspective of Poli's theory of levels (Baianu and Poli, 2008), the two levels of super- and ultra- complex systems are quite distinct in many of their defining properties, and therefore, categorical diagrams that `mix' such distinct levels do not commute. Considering dynamic similarity, Rosen (1968) introduced the concept of `analogous' (classical) dynamical systems in terms of categorical, dynamic isomorphisms between their isomorphic state-spaces that commute with their transition (state) function, or dynamic laws. However, the extension of this concept to either complex or super-complex
systems has not yet been investigated, and may be similar in importance to the introduction of the Lorentz-Poincaré group of transformations for reference frames in Relativity theory. On the other hand, one is often looking for relational invariance or similarity in functionality between different organisms or between different stages of development during ontogeny-the development of an organism from a fertilized egg. In this context, the categorical concept of `dynamically adjoint systems' was introduced in relation to the data obtained through nuclear transplant experiments (Baianu and Scripcariu, 1974). Thus, extending the latter concept to super- and ultra- complex systems , one has in general, that two complex or supercomplex systems with `state spaces' being defined respectively as A and A*, are dynamically adjoint if they can be represented naturally by the following (functorial) diagram:
![$\displaystyle \xymatrix@M=0.1pc @=4pc{A \ar[r]^{F} \ar[d]_{F'} & A^* \ar[d]^{G} \\ {A^*} \ar[r]_{G'} & {A}}$ $\displaystyle \xymatrix@M=0.1pc @=4pc{A \ar[r]^{F} \ar[d]_{F'} & A^* \ar[d]^{G} \\ {A^*} \ar[r]_{G'} & {A}}$](http://images.planetmath.org:8080/cache/objects/10798/l2h/img1.png) |
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with
and
being isomorphic (that is, representing natural equivalences between adjoint functors of the same kind, either left or right), and as above in diagram (2.5), the two diagonals are, respectively, the state-space transition functions
and
of the two adjoint dynamical systems. (It would also be interesting to investigate dynamic adjointness in the context of quantum dynamical systems and quantum automata, as defined in Baianu, 1971a).
A left-adjoint functor, such as the functor F in the above commutative diagram between categories representing state spaces of equivalent cell nuclei preserves limits, whereas the right-adjoint (or coadjoint) functor, such as G above, preserves colimits. (For precise definitions of adjoint functors the reader is referred to Brown, Galzebrook and Baianu, 2007, as well as to Popescu, 1973, Baianu and Scripcariu, 1974, and the initial paper by Kan, 1958).
A left-adjoint functor, such as the functor F in the above commutative diagram between categories representing state spaces of equivalent cell nuclei preserves limits, whereas the right-adjoint (or coadjoint) functor, such as G above, preserves colimits. (For precise definitions of adjoint functors the reader is referred to Brown, Galzebrook and Baianu, 2007, as well as to Popescu, 1973, Baianu and Scripcariu, 1974, and the initial paper by Kan, 1958). Thus, dynamic attractors and genericity of states are preserved for differentiating cells up to the blastula stage of organismic development. Subsequent stages of ontogenetic development can be considered only `weekly adjoint' or partially analogous. Similar dynamic controls may operate for controlling division cycles in the cells of different organisms; therefore, such instances are also good example of the dynamic adjointness relation between cells of different organisms that may be very far apart phylogenetically, even on different `branches of the tree of life.' A more elaborate dynamic concept of `homology' between the genomes of different species
during evolution was also proposed (Baianu, 1971a), suggesting that an entire phylogenetic series can be characterized by a topologically-rather than biologically-homologous sequence of genomes which preserves certain genes encoding the essential biological functions. A striking example was recently suggested involving the differentiation of the nervous system in the fruit fly and mice (and perhaps also man) which leads to the formation of the back, middle and front parts of the neural tube. A related, topological generalization of such a dynamic similarity between
systems was previously introduced as topological conjugacy(Baianu, 1986-1987a; Baianu and Lin, 2004), which replaces recursive, digital simulation with symbolic, topological modelling for both super- and ultra- complex systems (Baianu and Lin., 2004; Baianu, 2004c; Baianu et al., 2004, 2006b). This approach stems logically from the introduction of topological/symbolic computation and topological computers Baianu, 1971b), as well as their natural extensions to quantum nano-automata (Baianu, 2004a), quantum automata and quantum computers (Baianu, 1971a, and 1971b, respectively); the latter may allow us to make a `quantum leap' in our understanding Life and the higher
complexity levels in general. Such is also the relevance of Quantum Logics and LM-logic algebra to understand the immanent operational logics of the human brain and the associated mind meta-level. Quantum Logics concepts are introduced next that are also relevant to the fundamental, or `ultimate', concept of spacetime, well-beyond our phenomenal reach, and thus in this specific sense, transcedental to our physical experience (perhaps vindicating the need for a Kantian-like transcedental logic, but from a quite different standpoint than that originally advanced by Kant in his critique of `pure' reason; instead of being `mystical'- as Husserl might have said-the
transcedental logic of quantized spacetime is very different from the Boolean logic of digital computers, as it is quantum, and thus non-commutative). A Transcedental Ontology, whereas with a definite Kantian `flavor', would not be at all `mystical' in Husserl's sense, but would rely on `verifiable' many-valued, non-commutative logics, and thus contrary to Kant's original presupposition, as well as untouchable by Husserl's critique. The fundamental nature of spacetime would be `provable' and `verifiable', but only to the extent allowed by Quantum Logics, not by an arbitrary (`mystical') Kantian-transcedental logic or by impossible, direct phenomenal observations at the Planck scale.
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"similarity and analogous systems dynamic adjointness" is owned by bci1. [ full author list (2) ]
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(view preamble)
See Also: general system definitions, commutative vs. non-commutative dynamic modeling diagrams, groupoid C*-dynamical system, adjoint functor
| Other names: |
analogy, isomorphic dynamic systems, dynamic similarity, adjoint functor, adjointness, conjugacy, isomorphic dynamical system |
| Also defines: |
dynamic adjointness, adjoint dynamical systems, equivalent dynamic systems, analogous systems |
| Keywords: |
analogies, similarity, adjoint functors, adjointness, conjugacy, cloning, nuclear transplant experiments |
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Cross-references: ontology, Boolean, immanent, algebra, logics, quantum computers, quantum nano-automata, recursive, differentiation, sequence, series, entire, genomes, homology, tree, branches, even, cycles, division, attractors, definitions, colimits, limits, preserves, cell, commutative diagram, functor, automata, transition functions, diagonals, right, natural equivalences, state spaces, nuclear, adjoint, development, frames, reference, transformations, group, similar, super-complex systems, complex, extension, function, state, isomorphic, isomorphisms, terms, dynamical systems, defining properties, complex systems, levels, theory, universal properties, categories, relations, diagrams, types, categorical, similarity
There are 50 references to this entry.
This is version 11 of similarity and analogous systems dynamic adjointness, born on 2008-07-16, modified 2008-09-06.
Object id is 10798, canonical name is SimilarityAndAnalogousSystemsDynamicAdjointness2.
Accessed 1403 times total.
Classification:
| AMS MSC: | 18A40 (Category theory; homological algebra :: General theory of categories and functors :: Adjoint functors ) | | | 03C52 (Mathematical logic and foundations :: Model theory :: Properties of classes of models) | | | 03D15 (Mathematical logic and foundations :: Computability and recursion theory :: Complexity of computation) | | | 03D80 (Mathematical logic and foundations :: Computability and recursion theory :: Applications of computability and recursion theory) | | | 37F05 (Dynamical systems and ergodic theory :: Complex dynamical systems :: Relations and correspondences) | | | 37F99 (Dynamical systems and ergodic theory :: Complex dynamical systems :: Miscellaneous) | | | 18-00 (Category theory; homological algebra :: General reference works ) | | | 03C98 (Mathematical logic and foundations :: Model theory :: Applications of model theory) |
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Pending Errata and Addenda
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