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c, States, Wavefunctions, Entropy, and the Arrow Without Time

c, States, Wavefunctions, Entropy, and the Arrow Without Time

A rigorous map for advanced students: causal structure, reduced states, unitary evolution, coarse entropy, and the disciplined use of the reality quotient.


Thesis

It isn’t that time flows; closedness fails. The “arrow” you feel is statistical: coarse-grained entropy in a reduced state tends to rise as boundaries lose hold and information integrates.

1) Causal scaffold: what c actually fixes

The speed of light c sets light cones and admissible influences. A “state” is best thought of on a spacelike slice (a foliation). Any update, inference, or interaction must respect causality: no superluminal signalling; influences propagate within light cones (≤ c).

2) States, microstates, and entities (indices first)

3) Wavefunctions: unitary vs. readout

On an isolated state, the quantum state evolves unitarily; von Neumann entropy stays constant. Entropy rises when you reduce (trace out environment), measure, or coarse-grain—exactly the operations that define practical, hack-closed states.

For a subsystem, , correlations spread only within causal cones; the reduced entropy of A can increase as entanglement and mixing reach it (≤ c).

4) Entropy: where it lives and why the arrow appears

Entropy is a number on the distribution over microstates for a fixed state s:

Fine-grained (fully labeled, isolated) entropy is constant; coarse-grained entropy typically drifts upward because we blur labels, ignore couplings, and allow weak exchange. That drift—not a fluid called time—is the felt arrow.

5) Absolute information bounds that include c

Bekenstein bound (energy E, radius R):

Black-hole entropy (area law; ):

These tie entropy to energy, size, and fundamental constants—c limits how much “arrangement capacity” a finite state can admit.

6) Speed limits: how fast reconfiguration can happen

Quantum speed limits constrain minimal time to evolve between distinguishable states:

In relativistic settings, feasible energy densities and causal propagation (≤ c) further bound the rate at which reduced subsystems can mix, entangle, and thus increase coarse entropy.

7) Collapse, locality, and “no drama”

Operationally, “collapse” is sample + update. A realized microstate yields an observable via a map:

Knowledge updates elsewhere respect light cones; there is no superluminal signal. Observable consequences propagate ≤ c.

8) Reality quotient placed carefully

Reports are per-entity, per-state:

A is a local scalar from the realized microstate; summarizes predictor concentration and idea magnitude for the same (X,s). Because information and interaction reach X only within causal cones, the rate at which R (and S) can change is indirectly bounded by c and available energy/resources.

9) Classroom instantiation (Money Lab)

10) Red lines and quick repairs


Board-ready lines

Microstate = everything, all at once; entity = a window.
Entropy lives on distributions.
c fixes the causal pace; the arrow appears because closedness fails.

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