ANISH RITURAJ

                       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.)