The General Theory of Data Physics
Data Representation through States and State Derivatives
The General Theory of Data Physics explores how industrial information can be represented through physical states, state evolution and verifiable digital representations across digital ecosystems.Within Data Physics, D = dS/dt is a conceptual relation for examining state change in dynamic industrial contexts. It is not a mandatory data format, software architecture or universal requirement for every type of industrial information.
Foundational Research Principles
These principles provide a framework for understanding how digital states may be represented, interpreted and exchanged across heterogeneous environments.
Principle I:
Ontological Orthogonality
Intrinsic State Vectors: Physical characteristics derived from observable measurements and operational evidence. These characteristics may remain consistent across different application contexts.
Extrinsic Context Layers: Context-dependent attributes derived from regulatory, commercial, environmental or organizational requirements.
Principle II:
State Coupling Mechanics
Coupled Verification States: Verifiable linkage between a physical entity’s lifecycle and its digital representation, where ongoing state alignment is required.
Decoupled Digital Attributes: Structured representations of specific attributes or claims that may be interpreted, reported or exchanged across different application contexts.
Principle III: Temporal Continuity Principle
Trust in a digital representation may be strengthened by verifiable state histories associated with the lifecycle of a physical asset.
Continuous or event-based state histories can reduce the limitations of isolated snapshots and support stronger auditability where dynamic state data is relevant.
Why Trusted State Representations Should Be Formed at Source
Cross-domain exchange does not begin with moving data. It begins with determining how the state of a physical entity can be represented in a trustworthy and context-appropriate form.
The source domain retains the closest relationship with the physical entity, its operational records, responsible actors and supporting evidence. For this reason, trusted state representations should be formed as close to the source as practicable.
Data Physics explains the theoretical basis for this source-side trust formation. It does not prescribe a specific software component, protocol, platform or deployment model.
In the Bita Trust Knowledge Architecture, Data Physics provides the foundation, Trust at Source examines source-side trust formation, and GTSE addresses the exchange of trusted state representations across domains.
Publication and Priority Record
These repositories document the public publication, authorship and development record of the Data Physics framework. They do not by themselves constitute external scientific, regulatory or standards endorsement.
The State Derivative framework (D = dS/dt) is documented through publicly accessible research repositories. This timestamp records the publication of the original research framework.
Research references are documented through SSRN publications, supporting consistent interpretation across different application contexts.