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8. Time, a Fractal Response to Decay

Introduction

This Notebook starts out with a brief discussion of the foundations of the science of Live Data Streams. We discover that the individual Data pieces are of utmost importance in Live Data Streams. This leads us to a study of Raveled Numbers, which make up Directionals, which are the primary measures of Data Streams. We find that Raveled Numbers are dimensional and scaled. We then look at some Potential Impact Graphs to determine the potential impact of the various pieces of Data upon the Raveled Numbers. Because Directionals are made up of Raveled numbers, we were also able to look at the Potential Impact of individual Data Pieces upon the Directionals. We then find, in looking at the foundations of Potential Impact, that function science has no need for potential impact because the individual data is not important after the function is found. Then we examine the implications of Raveling, scaling, and dimensionality upon Time itself, finding that Time, itself, %-ZWY7h΢w[FYmMifdM!կer$,`SkTT9bCޠ0)t 'J+YFEY4}>@ [mv 2G*܂82e hyhi~YRۄgc;>Ȫڹk,ǚgh<&.H36b3&gXkPe7fRCt Ig8faR`QJH>X()@d>A3QkG3?  YP ƂMĀ`€W/p4ɐ&ujlmȺ[aey!7.B! 5)qtU&(B^uiee0[<ۇգn;i66o D{nbrLZ':5Qãނ0e̜Y.W;`05xYF V٣ThAȖγ?ڑhJip"Y7[("솇o,BKscXmOﷱH)Hu. v1tS)Q4*lf-IUwiKڟ<# ȺBΛ^@0z6Ù7W#cB_צ 7SDHI^՛dϥOwmv6;Ct5e8m/*'ErS-m'k&t6tF5FW23 t7UT[ ,b* Ðl*L$P