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Copy file name to clipboardExpand all lines: concept_of_system.md
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---
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id: definition-system
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version: 1.3.2
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version: 1.3.3
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scope: standalone
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status: FINAL — Human Approved
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**Premise:**
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1. Let, G is the collection of all feasible and veridical aspects of The Universe. Then, all ecological embeddings (symbol-meaning bindings) that describe things and relationships among those things within G, have geometric properties. Consequently, algebraic operations on any measurable quantities are feasible within structured subdomains of G.
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1. Let, G is the mathematiaclly genarlized [rank](https://en.wikipedia.org/wiki/Rank_(linear_algebra)#Generalization) of the collection of all feasible and veridical aspects of multi-dimensional entities being taken into consideration. Then, all ecological embeddings (symbol-meaning bindings) that describe those entities and relationships among them, have geometric properties. Consequently, algebraic operations on any measurable quantities are feasible within structured subdomains of maximum rank G.
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2. Flux denotes the rate of information transfer across a surface within G, [in an information theoretic sense](https://en.wikipedia.org/wiki/Entropy_(information_theory)#Definition).
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-**N** is a set of **nodes** — the networked things that constitute the system.
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-**R** is a set of **relationships** among nodes — including self-relationships, where a node in N relates to itself via a reflexive relation in R.
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-**G** is a set of **ecological embeddings** that defines the spatio-temporal adjacency of N and R within a hyper-dimensional space. G mediates R: the relationships in R are made persistent and meaningful by the ecological embedding G provides.
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-**G** is the rank of the set of **ecological embeddings** that defines the spatio-temporal adjacency of N and R within a hyper-dimensional space. G mediates R: the relationships in R are made persistent and meaningful by the types of ecological embedding in the vector space with rank G.
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## Corollary — Graph Representation
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Any system S can be represented as a graph where nodes in N are vertices and relationships in R are edges, including self-loops. An equivalent representation is a dictionary where keys are nodes in N and values are the sets of nodes they relate to via R. G is the ecological embedding in which that graph is physically instantiated and temporally persistent — without G, the graph is an abstract structure with no memory.
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Any system S can be represented as a graph where nodes in N are vertices and relationships in R are edges, including self-loops. An equivalent representation is a dictionary where keys are nodes in N and values are the sets of nodes they relate to eachother via R. G is the rank of the ecological embedding in which that graph is physically instantiated and temporally persistent — without G > 0, the graph is an abstract structure with no memory.
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---
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*definition-system-v1_3_2.md — FINAL — Human Approved*
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*definition-system-v1_3_3.md — FINAL — Human Approved*
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