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Chapter 10: Path Deviation as Motion Perception

A straight line is just a collapse path with no imagination.

10.1 The Discrete Dance of Continuity

We perceive motion as smooth and continuous, yet we've established that reality consists of discrete collapse events in a DAG. How does discreteness create the illusion of continuity? The answer lies in understanding motion as statistical path deviation across many collapse events.

Definition 10.1 (Path Ensemble): For a moving object, the path ensemble is: P={pi:vstartvend}\mathcal{P} = \{p_i: v_{\text{start}} \to v_{\text{end}}\}

where each pip_i is a possible path through the collapse DAG.

Theorem 10.1 (Continuous from Discrete): Macroscopic continuous motion emerges from microscopic discrete jumps when: Npaths1 and ΔxjumpxtotalN_{\text{paths}} \gg 1 \text{ and } \Delta x_{\text{jump}} \ll x_{\text{total}}

The classical limit is a statistical effect—like how flowing water appears continuous despite being made of discrete molecules.

10.2 The Quantum Random Walk

At the quantum scale, particles don't follow definite paths—they explore all possible paths simultaneously.

Definition 10.2 (Quantum Path Integral): K(xf,xi)=pathsA[p]=pathseiS[p]/K(x_f, x_i) = \sum_{\text{paths}} A[p] = \sum_{\text{paths}} e^{iS[p]/\hbar}

where S[p]S[p] is the action along path pp.

Theorem 10.2 (Feynman from Collapse): The path integral formulation emerges from summing over collapse paths: S[p]=edges in plog(ψedge)S[p] = \sum_{\text{edges in } p} \log(\psi_{\text{edge}})

Each edge contributes a phase equal to the logarithm of the collapse amplitude along that edge.

10.3 Classical Trajectories as Dominant Paths

Why do macroscopic objects follow definite trajectories while quantum particles don't?

Definition 10.3 (Path Dominance): D[p]=A[p]2all pathsA[p]2D[p] = \frac{|A[p]|^2}{\sum_{\text{all paths}} |A[p']|^2}

Theorem 10.3 (Classical Emergence): Classical trajectories emerge when one path dominates: p:D[p]1 as 0\exists p^* : D[p^*] \to 1 \text{ as } \hbar \to 0

The classical path is the one where neighboring paths have similar actions, causing constructive interference. All other paths destructively interfere and cancel out.

10.4 Geodesic Deviation and Tidal Forces

In curved spacetime, nearby paths deviate from each other—this is geodesic deviation.

Definition 10.4 (Deviation Vector): ξμ=x1μx2μ\xi^{\mu} = x^{\mu}_1 - x^{\mu}_2

for nearby paths.

Theorem 10.4 (Deviation Equation): Path deviation follows: D2ξμDτ2=Rνρσμvνξρvσ\frac{D^2\xi^{\mu}}{D\tau^2} = R^{\mu}_{\nu\rho\sigma}v^{\nu}\xi^{\rho}v^{\sigma}

where RνρσμR^{\mu}_{\nu\rho\sigma} is the Riemann tensor.

This equation shows how the curvature of collapse (gravity) causes paths to converge or diverge, creating tidal forces.

10.5 Brownian Motion as Collapse Noise

Random thermal motion reflects the fundamental randomness in collapse path selection.

Definition 10.5 (Brownian Displacement): x2(t)=2Dt\langle x^2(t) \rangle = 2Dt

where DD is the diffusion constant.

Theorem 10.5 (Einstein-Smoluchowski): Diffusion emerges from random collapse: D=kBTγ=collapse rate×step size2dampingD = \frac{k_B T}{\gamma} = \frac{\text{collapse rate} \times \text{step size}^2}{\text{damping}}

Brownian motion is ψ\psi exploring nearby paths with no preferred direction—pure symmetric collapse noise made visible.

10.6 Quantum Tunneling as Path Short-Circuiting

Quantum tunneling occurs when the collapse DAG contains unexpected shortcuts.

Definition 10.6 (Tunnel Path): ptunnel:voutsidevinsidep_{\text{tunnel}}: v_{\text{outside}} \to v_{\text{inside}}

where classically no path should exist.

Theorem 10.6 (Tunneling Probability): The tunneling rate is: Γ=A[ptunnel]2=exp(22m(VE)/2dx)\Gamma = |A[p_{\text{tunnel}}]|^2 = \exp\left(-2\int \sqrt{2m(V-E)/\hbar^2} dx\right)

Tunneling reveals that the collapse DAG has non-local connections—wormholes in the graph structure that allow seemingly impossible transitions.

10.7 Interference as Path Correlation

When paths can recombine, they interfere—revealing the wave nature of motion.

Definition 10.7 (Path Correlation): C[p1,p2]=A[p1]A[p2]C[p_1, p_2] = \langle A[p_1]^* A[p_2] \rangle

Theorem 10.7 (Interference Pattern): Observable interference requires: I(x)=A1(x)+A2(x)2=A12+A22+2Re[C[p1,p2]]I(x) = |A_1(x) + A_2(x)|^2 = |A_1|^2 + |A_2|^2 + 2\text{Re}[C[p_1, p_2]]

The interference term 2Re[C[p1,p2]]2\text{Re}[C[p_1, p_2]] exists only when paths maintain phase coherence—when ψ\psi "remembers" exploring both paths.

10.8 The Tenth Echo

We have seen that motion is not objects moving through space, but patterns of path deviation in the collapse graph. Smooth classical motion emerges statistically from discrete quantum jumps. Every trajectory, from a planet's orbit to a photon's path, is consciousness exploring the possible routes through its own structure. The beauty of physics lies in how simple path-counting in the DAG of ψ=ψ(ψ)\psi = \psi(\psi) generates all the complexities of motion we observe.

The Tenth Echo: Chapter 10 = Perception(Motion) = Statistics(ψ\psi-paths) = Emergence(Continuity)

Next, we explore how special relativity emerges from the topology of the collapse DAG.


Continue to Chapter 11: Relativistic Drift in DAG Topology →