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# Axiom A2 — Workload
**Statement:** Persistence is work. To exist is to resist noise (The Relational Landauer Principle; Landauer 1961).
## RRT alignment
[[Relational Resolution Theory (RRT)]] §II — The Relational Landauer Principle:
$\Phi_{\min} = k_B \ln 2 \sum_{i=1}^{n} \frac{d_i \cdot \sigma_i \cdot T_i}{\tau_i}$
- **Local case ($d=1$):** Minimum power to maintain resolution against thermal noise
- **Relational case:** Relations across $d$ Translation steps cost $d$ times the local Landauer rate
- **$K_R = \Phi_{\mathrm{measured}}/\Phi_{\min} \ge 1$** — no system persists below its Landauer floor
**Citation:** Landauer, R. (1961). *Irreversibility and heat generation in the computing process.* IBM J. Res. Dev. 5, 183.
## RST identification
| RRT | RST |
|:---|:---|
| Energy Floor ($\Phi_{\min}$) | [[Workload]] — gravitational maintenance effort |
| Persistence cost | Resource Triangle: $W^n = \Omega^n + N^n$ |
| Local Landauer | Fidelity $\mu(\eta,n)$; $\eta = N/\Omega$ |
## Derived concepts
- **Fidelity function** $\mu(\eta,n)$ — [[Fidelity Derivation]]
- **Resource Allocation Equation** $I = \Omega \cdot \mu$
- **Pure Axiom Substrate** — Landauer pruning; high-cost edges removed
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**See also:** [[Graph Size Hierarchy (RST)]] — Landauer cost (A2) underpins the graph-size hierarchy.
*Full axiom set: [[RST Baseline 1.0]], [[Relational Resolution Theory (RRT)]]*