© BAYER 1997

THE TENSORIAL POWER OF WORDS

Ben Bayer

Adelaide, Australia

 

Abstract.   Language is, on balance, one of our most powerful means of expression and communication. Its building tools are words and this paper examines their tensorial power. The Matrix, a conceptual framework which integrates the four elements feel/think/act/time into a single holistic landscape of values and entities, provides the perspective background against which this power and the way it operates can be demonstrated.
The word/meaning nexus is captured in the Matrix expressions, usually in numerical form with radicals and fractals. The emerging lexicon of key words supports meaningful coherent relationships in the Matrix landscape both in focus and perspective.
A tensorial integration relationship is postulated to provide a link between three basic parameters: Quality, Entity and Quantity. The dynamic concept of Tensors reflects the dynamic qualities of words clarifying and putting in focus their potential.
The faceted format for articulating definitions provides a valuable series/parallel continuum which helps comprehension through clarity. Language, through its key words, single words, polar words, provides the tensorial power which energises the thinking and communication processes. The polarised concepts of covariance and contravariance and in particular the sensitive concept of Equivalence help the harnessing of this power towards the positive high ground. Critical versus creative thinking is examined and extended to include logic (25.0), reason (75.0), rationality (55.0), legitimacy (77.58), morality (97.58) and metricity (99.55).
Merging their tensorial strength, Analysis (82.25), Balance (55.55) and Creativity (86.85) combine in partnership to achieve Optimisation (59.96), the fairest and most effective pathway for the promotion of human progress and harmony.

 

1. Introduction

2. The Framework

3 Tensorial integration

4. Definitions

5. Language

6. Relationships

7. Optimisation

8. Displays

9. Conclusion

 

Graphical representation of the Matrix