A deterministic causal structure ensures that events always follow a predictable order based on their cause-and-effect relationships. In the context of distributed systems like blockchains, this means that given the same initial state and sequence of inputs, the system will always produce the identical sequence of outputs and state transitions. Every event’s occurrence is precisely determined by preceding events, eliminating any ambiguity or non-determinism in the order or outcome of operations. This property is vital for achieving consensus and maintaining a consistent ledger across all network participants.
Context
Deterministic causal structure is a foundational requirement for reliable blockchain operation, ensuring that all nodes arrive at the same global state. News about blockchain forks or consensus failures often highlights issues related to non-deterministic behaviors that disrupt this structure. Ongoing research and development in distributed ledger technology consistently aim to fortify deterministic properties, particularly as networks scale and handle more complex smart contract interactions.
This theory introduces a Deterministic Causal Structure (DCS) where the ledger is a policy-agnostic DAG, resolving the entanglement of correctness and ordering.
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