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Information theory and dimensionality of space
1Oklahoma State University, Stillwater, USA. subhash.kak@okstate.edu.
Scientific Reports
|November 27, 2020
Summary
This study introduces an information-theoretic method to define data dimensionality, revealing it as a noninteger. This finding explains the utility of noninteger dimensions in physics and resolves discrepancies in Hubble constant measurements.
Area of Science:
- Physics
- Information Theory
- Cosmology
Background:
- Noninteger dimensions are empirically observed in physics.
- Previous studies introduced noninteger dimensions based on experimental needs.
- The theoretical basis for the utility of noninteger dimensions was lacking.
Purpose of the Study:
- To develop an information-theoretic approach for optimal data representation.
- To theoretically explain the physical relevance of noninteger dimensions.
- To apply noninteger dimensions to resolve cosmological measurement discrepancies.
Main Methods:
- Utilizing information theory to define intrinsic data dimensionality.
- Correlating noninteger dimensions with data density.
- Applying the concept of lower density in noninteger dimensions to cosmological data.
Main Results:
- The optimal representation of data intrinsic dimensionality is shown to be noninteger.
- A theoretical justification is provided for the use of noninteger dimensions in physics.
- The lower density associated with noninteger dimensions is used to reconcile differing Hubble constant values.
Conclusions:
- The information-theoretic approach provides a fundamental understanding of noninteger dimensions.
- Noninteger dimensions have measurable physical consequences, including in cosmology.
- This framework offers a novel solution to long-standing problems in measuring the Hubble constant.
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