Preservation law involving information potential and Jensen-variance distance: Application to stationary gaussian processes

Key Points

• Preservation law impacts information potential significantly in stationary Gaussian processes, enhancing understanding of data behavior.
• Using the Jensen-variance distance metric, the analysis uncovers relationships that quantify information accuracy in processes.
• This analysis relies on theoretical models of stationary Gaussian processes to assess variability in data representation.
• Implications may support wider applications in statistical fields, requiring further exploration of the relationships highlighted.