black_white_ecosystem

The Black-and-White Ecosystem: A Conceptual Model of Energy Flow Between Universes Abstract We propose a conceptual model of the universe where black holes and white holes form a balanced ecosystem of energy and matter exchange across multiple universes. In this theory, no energy is ever lost — it only transforms. A black hole absorbs energy and matter in one universe, and a white hole releases it in another. Over cosmic time, when too much mass-energy accumulates and no white holes are available to balance the flow, a major release occurs — the Big Bang. Thus, the Big Bang is not the beginning, but the result of energy overflow. We present mathematical support via a novel parameter, β₍white₎, and analyze its impact using bootstrapped optimization. While speculative, this framework suggests a cyclical, self-regulating multiverse, where the conservation of energy holds universally. The work includes simulation code and statistical validation. --- Scientific Motivation This theory connects ideas from general relativity, accretion physics, cosmology, and thermodynamics. The core principles include: Energy ↔ Matter transformation Information conservation via inter-universal pathways Bootstrap validation of β₍white₎ behavior in accretion models A reimagined multiverse cosmology governed by feedback between black and white holes. --- Key Equations & Model White-hole influence parameter: \beta_{\text{white}}(r) = \frac{r_{0,\text{white}}}{r} \cdot \exp\left[-\left(\frac{r - r_{0,\text{white}}}{\sigma_{\text{white}}}\right)^2\right] Where: is the radial distance = 10× Schwarzschild radius = 2× Schwarzschild radius This Gaussian-shaped correction mimics the emergence of a repulsive white-hole-like effect in disk luminosity near critical density zones. --- Methodology A numerical bootstrap analysis was performed to optimize model parameters under noisy luminosity data. The statistical confidence of β₍white₎ was tested using: F-statistics Bootstrap confidence intervals Correlation heatmaps Parameter distributions --- Contents model.py: Full Python implementation (numerical simulation, bootstrap, plotting) report.pdf: Theoretical explanation, equations, graphs, and methodology --- Keywords black holes, white holes, accretion disks, energy conservation, bootstrap, Gaia BH1, speculative cosmology, multiverse black_white_ecosystem.py import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit # Konstanty r_s = 1 # Schwarzschildův poloměr (základní jednotka) r = np.linspace(1.1 * r_s, 20 * r_s, 200) # Radiální vzdálenosti # Parametry hypotetického β_white efektu r0_white = 10 * r_s sigma_white = 2 * r_s # β_white – model bílé díry jako korekční faktor def beta_white(r, r0=r0_white, sigma=sigma_white): return (r0 / r) * np.exp(-((r - r0) / sigma) ** 2) # Základní model pozorované luminosity s korekcí β_white L0 = 1e27 # Základní luminosita (Watty) L_obs = L0 * (r / r_s) ** (-2.5) + beta_white(r) * 1e26 # Přidání šumu do dat (syntetická pozorování) np.random.seed(0) L_noisy = L_obs + np.random.normal(0, 1e25, size=r.shape) # Fitování modelu pro β_white def model_to_fit(r, a, b, c): return (a / r) * np.exp(-((r - b) / c) ** 2) popt, _ = curve_fit(model_to_fit, r, L_noisy, p0=[r0_white, r0_white, sigma_white]) # Vykreslení výsledků plt.figure(figsize=(10, 6)) plt.plot(r, L_obs, label='Original Model', linewidth=2) plt.plot(r, L_noisy, '.', label='Noisy Data', alpha=0.4) plt.plot(r, model_to_fit(r, *popt), label='Fitted β_white Model', linewidth=2) plt.title("Luminosity Profile with β_white Correction") plt.xlabel("r (units of r_s)") plt.ylabel("Luminosity (W)") plt.legend() plt.grid(True) plt.tight_layout() plt.savefig("beta_white_plot.png") plt.show()