➗Mathematical Analysis of Validators

In the context of SolareumChain, this discipline applies advanced mathematical techniques to scrutinize validators’ performance, security, and reliability. Validators are pivotal to maintaining the integrity of SolareumChain’s Layer 1 blockchain, ensuring secure and efficient transactions. By subjecting these validators to rigorous mathematical analysis, we aim to optimize their functionality, detect vulnerabilities, and enhance their overall efficiency within the SolareumChain ecosystem. This approach offers a specific and indepth understanding of validator performance in the context of SolareumChain, ultimately contributing to the network’s stability and trustworthiness.

A variety of formulas are provided capturing description of the SolareumChain system. Let

$$X={\{X_1,...,X_n\}}$$

be a set of sets of validators, namely X is a set of sets, where each set contained compromises of the validators of distinct type, with n ∈ N types. Then, for each distinct type i ∈ N, with 1 ≤ i ≤ n, we have that

$$X_i=\bigcup_{j=1}^kX(i)_j$$

where 1 ≤ j ≤ k are indices, with j, k ∈ N, and X(i)j being energy generator j of type i, and therefore, that all energy generators acting as validators form the following superset

$$X=\bigcup_{i=1}^nX_i=\bigcup_{i=1}^n\bigcup_{j=1}^kX(i)_j$$

Combinatorics of energy generation for the above superset of all validators then results in the following given an energy generation function E : X → R with the standard norm acting as a metric,

With the above terminology established, the nature of energy generators as validators as well as application to the Proof of Generation (PoG) consensus mechanism is presented.