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Openai/696eca7b-acdc-800a-9ad9-5ebc9f477576
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==== 2) Make it less trivial: separate “kinds of change” with generators ==== The thin-category above collapses which process occurred. If you want “hypertrophy vs satellite fusion vs epigenetic shift” to be distinguishable, define a free category from a graph of primitive steps. ===== Definition (generated category) ===== Objects: the same triples M=(n,e,c)M=(n,e,c)M=(n,e,c). Generate morphisms by three primitive “moves” whenever they stay in N3\mathbb N^3N3: * h:(n,e,c)→(n,e,c+1)h: (n,e,c)\to (n,e,c+1)h:(n,e,c)→(n,e,c+1) (hypertrophy increment) * s:(n,e,c)→(n+1,e,c)s: (n,e,c)\to (n+1,e,c)s:(n,e,c)→(n+1,e,c) (satellite fusion increment) * p:(n,e,c)→(n,e+1,c)p: (n,e,c)\to (n,e+1,c)p:(n,e,c)→(n,e+1,c) (priming / expression readiness increment) Then morphisms are finite strings of h,s,ph,s,ph,s,p (and identities), with composition by concatenation. Now you can ask: do these moves commute? Not always—so you can add relations. ===== Optional relations (to encode biology-ish constraints) ===== For example, “capacity increases are limited without enough nuclei”: * impose that hhh is only allowed when c≤k⋅nc \le k\cdot nc≤k⋅n (a myonuclear-domain style constraint) That’s not category theory per se; it’s just a constraint on when generators exist.
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