ARC-EFFECT

THE SHAPE WHAT WE SEE , IS THIS A RESULT OF FRAME OF REFERENCE????????

THEN WHAT IS THE EFFECT THAT CREATE THE MASS AS WELL AS SHAPE????

 WHEN I ASK U A QUESTION - WHAT IS THE SHAPE OF  PEBBLE IN YOUR HAND ??
THE ANSWER MAY BE LIKE THIS
IRREGULAR,SPHERICAL , etc.BUT THINK ABOUT YOUR ANSWER THAT AND YOU MUST REALIZE THAT THE BASIS OF YOUR ANSWER IS DEPEND ON THE TYPE OF FRAME OF REFERENCE IN WHICH YOU ARE DEALING. SO I AM NOT TALKING THAT ONLY FRAME OF REFERENCE CAUSE SHAPE BUT TIME ALSO PLAY MOST IMPORTENT ROLE IN THE FORMATION OF THE EMPTY SHAPE(HERE IT MEANS THE MASLESS SHAPE) AND THE WHOLE PROCESS I NAMED IS ARC-EFFECT.    

BUTTERFLY NEBULA

ZERO V/S INFINITY

ZERO????????????????????????????

Normally zero mean nothing but let take an example 

if the perpendicular of a right triangle remain constant and of unit length and the hypotanous follow infinity so that in practically the angle formed by base and hypotanus show curve phenomena and what we see has no mean to describe normally this effect ( I call ) "ANISH CURVE EFFECT".

INFINITY????????????????????????

THE number lies in between the value 1 and 2 is uncountable but if we practically think about WHAT IS INFINIETY??

Then we realise that infiniety is nothing but the concept that easy our problems occurs in our daily life and in mathematics     

MY MASTER PIX(PENCIL SKETCH) AND MY IMAGE

                       QUANTUM MATHEMATICS

In mathematics quantum has its own importance because the universe that we see is running on the domain and range or sometime on Co-domain , actually I mean FUNCTION.

THE single and each function having a SYMMETRY hidden in it like (for example)-

      A..........................................................B the set of all point in the line segment which exist in plane has some magnitude according to scale that define it so we can say (about the magnitude of the following line segment) it is of 5,50,5000............ even approx to Zero ,so it predict that the SYMMETRY in the FUNCTION cause Quantization ( here Quantization < not Quantization, in mathematics and digital signal processing, is the process of mapping a large set of input values to a (countable) smaller set. Rounding and truncation are typical examples of quantization processes. Quantization is involved to some degree in nearly all digital signal processing, as the process of representing a signal in digital form ordinarily involves rounding. Quantization also forms the core of essentially all lossy compression algorithms. The difference between an input value and its quantized value (such as round-off error) is referred to as quantization error. A device or algorithmic function that performs quantization is called a quantizer.)