Generalized measurement on size of set
Hua-Rong Peng, Da-Hai Li, Qiong-Hua Wang

TL;DR
This paper introduces a generalized measurement framework for set size based on an expanded concept of cover, unifying dimension, measure, and cardinality, and offering new insights into infinity and set properties.
Contribution
It proposes a novel approach to measuring set size using pairs of covers and functions, extending traditional concepts to unify dimension, measure, and cardinality.
Findings
The size measure satisfies outer measure properties in general cases.
In the case of graduation 1, it satisfies measure properties.
Rewrites the Continuum Hypothesis using a dimension-based approach.
Abstract
We generalize the measurement using an expanded concept of cover, in order to provide a new approach to size of set other than cardinality. The generalized measurement has application backgrounds such as a generalized problem in dimension reduction, and has reasons from the existence of the minimum of both the positive size and the positive graduation, i.e., both the minimum is the size of the set . The minimum of positive graduation in actual measurement provides the possibility that an object cannot be partitioned arbitrarily, e.g., an interval cannot be partitioned by arbitrarily infinite times to keep compatible with the minimum of positive size. For the measurement on size of set, it can be assumed that this minimum is the size of , in symbols or graduation 1. For a set , we generalize any graduation as the size of a set where $\exists x \in S (x…
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Taxonomy
TopicsMathematical Dynamics and Fractals · Neural Networks and Applications · Control Systems and Identification
