Intent Tensor Theory: Gravity

Recursive Gravity Functional / Planck Scale Gravity
A Collapse Geometry Framework for Intentional Gravity Modulation

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🌀 What Is This?

This repository contains the gravity framework of Intent Tensor Theory — a novel recursive framework wherein gravitational phenomena emerge not from pre-existing mass-energy curvature, but from coherent scalar intention fields that recursively contract into shell structures.

Key Innovation: We demonstrate the first simulated "poke" of gravity — a time-localized intentional modulation that perturbs recursive curvature memory and elicits a visible reaction in the Laplacian signature ∇²Φ.

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📸 The Gravity Poke

What you're seeing:

• 🔵 Blue Core: High negative curvature — the recursion center
• 🔴 Red Ring: Positive curvature pushback — shell re-alignment
• ⚪ Sharp Edge: Recursive shell boundary under modulation

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🧮 Core Equations

The Collapse Genesis Stack

Φ → ∇Φ → ∇²Φ → ρ_q

Glyph	Meaning
Φ	Scalar potential: latent intent
∇Φ	Collapse vector: direction of recursive flow
∇²Φ	Curvature lock: stabilization of memory
ρ_q	Charge density: emergent shell (gravity, matter)

The Poke Equation

Φ(x,y,t) = Φ₀ + ε·sin(ωt)·G(x,y)

End Equation: Recursive Gravity Functional

g⃗(x,t) = −κ_g [∇𝒜(x,t)·Tr(ℳ(x,t)) + 𝒜(x,t)·∇Tr(ℳ(x,t))]

Where:

• κ_g = ℏc/m²_Pl (Planck coupling constant)
• 𝒜 = Alignment Functional
• ℳ = Memory Tensor

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🧪 Interactive Notebooks

Run the simulations yourself:

Notebook	Description	Launch
poke_gravity_here.ipynb	0D→4D progression with animated pokes
proof_of_poke_gravity.ipynb	Theoretical validation & advanced sims

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📚 Documentation

Document	Description
gravity.md	Full Planck Scale Gravity treatise
poke-gravity.md	How to "Poke" Gravity framework

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🎯 Hypothesis

A localized, time-varying modulation of a scalar intent field Φ(x, y, t) = Φ₀(x, y) + ε·sin(ωt)·G(x, y), when applied to a recursive gravity shell, will produce a measurable re-alignment in the Laplacian signature ∇²Φ, detectable as a distinct curvature perturbation independent of mass or energy input.

Testable Prediction: The curvature perturbation should be observable using sensitive gravitational detectors (e.g., advanced interferometers or atom interferometry) without requiring a mass source.

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🔗 Links

• Website: intent-tensor-theory.com/gravity
• Poke Gravity: intent-tensor-theory.com/gravity/poke-gravity
• Coordinate System: intent-tensor-theory.com/coordinate-system
• Code Equations: intent-tensor-theory.com/code-equations

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Quick Start

import numpy as np
import matplotlib.pyplot as plt

# Grid and base potential
L, N = 10, 200
x = np.linspace(-L, L, N)
X, Y = np.meshgrid(x, x)
Phi_0 = np.exp(-0.1 * (X**2 + Y**2))

# Poke setup
epsilon, omega, t = 0.05, 2*np.pi/50, 30
G = np.exp(-((X-2)**2 + (Y+2)**2))
Phi_t = Phi_0 + epsilon * np.sin(omega * t) * G

# Laplacian (curvature response)
laplacian = (np.roll(Phi_t,1,0) + np.roll(Phi_t,-1,0) + 
             np.roll(Phi_t,1,1) + np.roll(Phi_t,-1,1) - 4*Phi_t) / (x[1]-x[0])**2

plt.imshow(laplacian, cmap='seismic', extent=(-L,L,-L,L), vmin=-0.02, vmax=0.02)
plt.colorbar(label='∇²Φ (Curvature)')
plt.title('Recursive Gravity Poke')
plt.show()

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By Armstrong Knight & Sensei–Intent–Tensor™

Intent Tensor Theory — Cyberphysics Laboratory