Contents
When random process is called deterministic?
A random process represents an ensemble of time functions, the value of which at any given time cannot be pre-determined or specified – thus a non-deterministic process. In contrast, a process is called deterministic if its value as a function of time can be pre-determined.
What is deterministic experiment in probability?
A deterministic experiment is one whose outcome may be predicted with certainty beforehand, such as combining Hydrogen and Oxygen, or adding two numbers such as 2 3. A random experiment is one whose outcome is determined by chance.
Why do we need non deterministic input for random numbers?
To have true random, there needs to be input which is nondeterministic. To generate truly random numbers requires precise, accurate, and repeatable system measurements of absolutely non-deterministic processes.
When is a random process a time function?
random process is a collection of time functions and an associated probability description. When a continuous or discrete or mixed process in time/space can be describe mathematically as function containing one or more random variables. A sinusoidal waveform with a random amplitude.
Why does a random number need to be unpredictable?
Since a truly random number needs to be completely unpredictable, it can never depend on deterministic input. If you have an algorithm which takes pre-determined input and uses it to produce a pseudo-random number, you can duplicate this process at will just as long as you know the input and algorithm.
Why is random not so random in programming languages?
A common problem in software random number generators is that always has loops. These loops are composed of a fixed set of numbers (the algorithm can’t generate other numbers) If algorithm is good that loop implies a very very big set of numbers But if the algorithm is bad numbers set may be insufficient