Abstract

We prove an equivalence transformation between the correlation measure functions of the causally-unbiased quantum gravity space and the causally-biased standard space. The theory of quantum gravity fuses the dynamic (nonfixed) causal structure of general relativity and the quantum uncertainty of quantum mechanics. In a quantum gravity space, the events are causally nonseparable and all time bias vanishes, which makes it no possible to use the standard causally-biased entropy and the correlation measure functions. Since a corrected causally-unbiased entropy function leads to an undefined, obscure mathematical structure, in our approach the correction is made in the data representation of the causally-unbiased space. Here we prove that the standard causally-biased entropy function with a data correction can be used to identify correlations in dynamic causal structures. As a corollary, all mathematical properties of the causally-biased correlation measure functions are preserved in the causally-unbiased space. The equivalence transformation allows us to measure correlations in a quantum gravity space with the stable, well-defined mathematical background and apparatus of the causally-biased functions of quantum Shannon theory.

Highlights

  • The theory of quantum gravity (QG) fuses the dynamic causal structure of general relativity (GR) and the quantum uncertainty of quantum mechanics (QM) [1–14]

  • We prove an equivalence transformation between the correlation measure functions of the causally-unbiased quantum gravity space and the causally-biased standard space

  • We show that all mathematical properties of the causally-biased correlation measure functions are preserved in the causally-unbiased space

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Summary

Introduction

The theory of quantum gravity (QG) fuses the dynamic (nonfixed) causal structure of general relativity (GR) and the quantum uncertainty of quantum mechanics (QM) [1–14]. We propose a different approach to identify entropic measures in the causally-unbiased quantum gravity space such that all mathematical properties of the causally-biased entropy function are completely preserved. We prove an equivalence transformation between the correlation measure functions of the causally-unbiased quantum gravity space and the causally-biased standard space. Based on the data correction of the equivalence transformation, all mathematical properties of the standard correlation measures are preserved in the causally-unbiased quantum gravity space. We prove a mathematical equivalence transformation between the correlation measure functions of the causally-unbiased quantum gravity space and the causally-biased standard space. 2. We prove that the standard causally-biased entropy function with a data correction can be used to identify correlations in dynamic causal structures.

Terms and Notations
Measurement Information
2.1.10 Entropy
Minkowski Diagram
Space-like Separation
Time-like Separation
Light-like Separation
Causality
Correction of Data Representation
Equivalence Transformation for Correlation Measuring
Extension of Composite Regions
Correlation Measure Functions
Conclusions
Notations

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