Book I — Mechanics of Mass-Value
1. Definitions
- 1.1 Spatial Energy Bank
- A finite region of space whose boundary surfaces intercept energy flux (J/s) in mechanical, chemical, monetary, or atomic form.
- 1.2 Mass-Value Joule
- Mechanical energy of one joule stored in mass; flux = ṁ·g·h + ½ ṁ·v² (J/s).
- 1.3 Honey-Joule
- Chemical energy of one joule stored in honey; flux = Ḣkcal×4184 (J/s).
- 1.4 Money-Joule
- Economic energy of one joule stored in currency; flux = Ṁ$·E$→J (J/s).
- 1.5 Gold-Joule
- Atomic and monetary energy of one joule stored in gold; a spinning disk yields simultaneous mass, atomic, and dollar flux per second.
2. Axioms, or Laws of Motion
- Law of Inertia: A Bank remains at constant flux unless an external impressed flux acts.
- Law of Acceleration: Change in momentum flux is proportional to impressed flux:
F = m·a
. - Law of Action & Reaction: Every impressed flux has an equal and opposite flux.
Corollaries 2.1–2.6: Equal masses → equal accelerations; closed systems → constant total momentum; free banks → straight flux lines; rotating disks → internal tension; gravity → potential-joule stores; vis viva → conserved absent non-conservative flux.
Scholium: All four Banks—mass, honey, money, gold—obey these laws in their joule realms.
3. Chapter I.1 — Kinematics of Mass-Value 🧱
Proposition I.1:
x(t)=x₀ + ∫₀ᵗ v(τ)dτ
, and flux across surface A
is Φ=ρ·v·A
.
Proof Sketch: Divide the Bank into infinitesimal cells and integrate the velocity field.
Secret 8: 💪 Moving Honey is Work—All displacement requires energy.
4. Chapter I.2 — Conservation Laws ⏱️
Proposition I.2:
dE/dt = Φin − Φout
; in a closed Bank, dE/dt=0
.
Corollary:
Emass + Ehoney + Emoney + Egold = constant
.
Secret 4: ⏱️ Time is Honey—Every joule transfer spans time.
Secret 14: 📦 Stashing Honey is Storing Work—Reserves are condensed past effort.
5. Chapter I.3 — Forces and Motion 🎯
Proposition I.3:
F = d(mv)/dt = m·a
, with force‐flux ΦF=∮ F·n dA
.
Corollary:
Work = ∫ F·dx = ΔE
.
Secret 11: 🎯 Work Where You’re Strong—Align tasks with natural force directions.
Secret 12: 🕺 Honey Talks—Surplus energy signals and draws action.
6. Chapter I.4 — Rotational & Frame Effects ⌛
Definition: I = ∫ r² dm
.
Prop I.4.1: Erot = ½ I ω², L = I ω
.
Prop I.4.2: τ = I α
, dL/dt = τ
.
Corollary: Damping: dL/dt = −γL ⇒ L(t)=L₀ e^(−γt)
.
Secret 15: ⌛ Honey Saved is Time Earned—Spinning reserves delay decay.
7. Geometric & Spatial Lemmas
We translate Newton’s geometric constructions into flux‐based diagrams:
-
Lemma I.7.1 (Surface Flux):
The net outflow across a closed surface equals the volume integral of divergence:
∮_∂V v·n dA = ∭_V (∇·v) dV
.Figure 1: Surface flux balancing divergence inside the Bank.
-
Lemma I.7.2 (Vector Field Circulation):
The circulation around a closed loop equals the surface integral of curl:
∮_C v·dx = ∬_S (∇×v)·n dA
.Figure 2: Circulation of value around a bounded loop.
-
Lemma I.7.3 (Energy Streamlines):
Energy moves along streamlines where
v·∇Φ = 0
, mapping geodesics in Absolute Space.Figure 3: Streamlines of energy within the Bank.
8. Relativistic Extension
For rapid transfers or high-value flows, total energy:
E = γ m c², γ = 1/√(1 − v²/c²)
.
This holds across mass-value, currency trades, and metabolic bursts.
9. General Scholium 💡
All four energy banks—mass, honey, money, gold—obey a unified spatial geometry of conservation, transformation, and flux. Mastering their diagrams and lemmas lets you optimize any natural or economic system.
Book II — Living Engines
Corresponds to Newton’s Book II: Motion of Bodies through Resisting Media
1. Definitions & Concepts
- 1.1 Photosynthetic Flux Bank
- A spatial domain (leaf surface) intercepting radiative flux (W/m²) and converting photons into chemical joules.
- 1.2 Metabolic Engine
- Any organism or hive converting chemical joules (honey) into kinetic or thermal energy at rate (J/s).
- 1.3 Ecosystem Circuit
- Network of Spatial Energy Banks (producers, consumers, decomposers) exchanging joules through feeding and decay.
2. Propositions & Corollaries
-
Proposition II.1 (Photosynthetic Efficiency):
η = E_chem / E_light
, bounded by thermodynamic Carnot limit and leaf geometry.
Secret 1: 🍀 Life is Lucky — Only a fraction of solar flux is harnessed.Fig II.1: Leaf intercepting solar flux and converting to chemical energy.
-
Proposition II.2 (Bee Metabolic Rate):
P = ṁ_h · ΔEhoney
, where ṁ_h is honey consumption rate and ΔE_honey per unit.
Secret 9: 🤝 It Takes a Team — Hive metabolic power scales with bee count. Secret 10: 👑 There Is Always a Queen — Central coordination optimizes P.Fig II.2: Honey energy flow into individual bees and hive work output.
-
Proposition II.3 (Ecosystem Transfer):
∑_levels E_in = ∑_levels E_out + E_loss
, with losses to heat (entropy) at each trophic transfer.
Secret 6: 🐝🌍 We’re Not Playing Alone — All species exchange energy. Secret 7: 🔄 Honey Comes and Honey Goes — Energy cascades in loops.Fig II.3: Trophic energy pyramid showing flux and losses.
-
Proposition II.4 (Sparse-System Optimization):
R = E_store / E_rate
, maximize R where E_rate is minimal to survive low-flux environments.
Secret 16: 🔮 Future Bees Do Future Work — Stored joules extend survival. -
Proposition II.5 (Biological Projectiles):
Each seed/spore carries energy E_proj = ½ m v² + m g h,
distribution via ballistic trajectories.
Fig II.4: Energy arcs of seed dispersal.
-
Proposition II.6 (Swarm Dynamics):
Collective angular momentum L_swarm = ∑ I_i ω_i conserved under social “impressed” forces.
Secret 17: 🎲 The Game of Survival — Swarm patterns optimize foraging efficiency.Fig II.5: Circular flux in swarm formations.
3. Corollaries & Entropy
- II.C1: Photosynthetic efficiency limited by entropy production.
- II.C2: Hive stores degrade over time—friction from metabolic heat.
- II.C3: Ecosystem networks require topological resilience to maintain flux.
- II.C4: Sparse systems trade throughput for longevity.
- II.C5: Projectiles lose energy to drag—viscous and aerodynamic resistance.
- II.C6: Swarm flux patterns minimize average travel work per bee.
4. Scholium 💡
Living Engines—plants, hives, ecosystems—are spatial energy networks obeying conservation, transformation, and flux lemmas. Embedded Secrets guide efficiency and cooperation across scales.