Simulation of Spiritual Longing over time

Published: 15 December 2023| Version 2 | DOI: 10.17632/s3zm522fzc.2
Contributor:
Sunil Maria Benedict

Description

Abstract: This dataset delves into the profound human experience of spiritual longing, specifically focusing on the yearning for a closer relationship with God as expressed in Christian mysticism. Spiritual longing, depicted as an exponential function, encapsulates the evolving depth of this yearning over time, symbolising an increasing desire for divine connection. The dataset centres on the mathematical representation of spiritual longing: Longing(t) = A × e^(kt), where Longing(t) denotes the intensity of spiritual longing at a given time 't'. The parameter 'A' signifies the initial intensity of longing, while 'k' characterises the rate of exponential growth of longing over time. Through various qualitative and quantitative measures, this dataset aims to capture and analyse the evolution of spiritual longing among individuals. It considers diverse narratives, historical accounts, and personal reflections that depict the nuanced and evolving nature of this spiritual yearning. Additionally, the dataset incorporates empirical observations to correlate experiences of spiritual longing with the exponential growth function, shedding light on how this longing intensifies over time. The dataset's multidimensional approach integrates historical, psychological, and experiential perspectives, offering insights into the profound and dynamic nature of spiritual longing. It provides a platform for researchers, psychologists, and theologians to explore the intricacies of this spiritual phenomenon and its impact on individuals' lives, beliefs, and practices.

Files

Steps to reproduce

import numpy as np import matplotlib.pyplot as plt # Function to calculate spiritual longing intensity at time t def calculate_longing(t, A, k): return A * np.exp(k * t) # Generating time values from 0 to 10 time_values = np.linspace(0, 10, 100) # Adjust the range and number of points as needed # Set initial values for A and k initial_A = 1 # Initial longing intensity growth_rate_k = 0.5 # Rate of growth of longing over time # Calculate longing intensity for each time value longing_values = calculate_longing(time_values, initial_A, growth_rate_k) # Plotting the graph plt.figure(figsize=(8, 6)) plt.plot(time_values, longing_values, label='Spiritual Longing') plt.title('Simulation of Spiritual Longing Over Time') plt.xlabel('Time') plt.ylabel('Longing Intensity') plt.legend() plt.grid(True) plt.show()

Institutions

CMR Jnanadhara Trust, CMR Group of institutions

Categories

Psychology, Mathematical Analysis, Cognitive Psychology, Positive Psychology, Spiritualism

Licence