THE NIKHIL-ANKITA THEOREM: APPLYING UNCERTAINTY TO NUMBERS IN VARIOUS FIELDS

Abstract

The Nikhil-Ankita Theorem proposes that numbers should always be represented as A+Ni, where A is the magnitude of the real part and N is the magnitude of the imaginary part. The theorem suggests that the angle Tan^-1(N/A) should be calculated with a sign to obtain the phase, and there is always a tendency towards the number 0 +- 0i, i.e. neither a leading nor a lagging phase. This theorem applies to various fields such as electrical engineering, computer communication, and complex signal processing. In electrical power consumption, the consumed power takes the form of A + -Ni Watts, representing the active and reactive power, respectively. Similarly, in electronic communication, signal processing involves transforming voice signals into real and imaginary numbers through Fourier, Laplace, and Z transforms. The Nikhil-Ankita Theorem also finds applications in diverse areas such as the study of war, death, religion, and porn, where different scenarios can be modeled as matrices in the form of A+Ni.