Probabilistic Sequence Function

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The discussion centers on representing a periodic coin toss sequence mathematically, where heads and tails appear in a 2:1 ratio. A proposed function is derived from fitting a sine function, yielding a deterministic output that oscillates between values of 1 and -1. The probabilities associated with these values are identified as 2/3 for heads and 1/3 for tails, leading to a query about operations that could express these probabilities. The concept of asymptotic density is introduced to describe the frequency of outcomes but is clarified as distinct from probability. Overall, the conversation explores the mathematical representation of a probabilistic sequence while addressing the relationship between deterministic functions and probability.
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Let's assume we have a coin. When it is tossed, in first 2 times it comes head, and the next time tails. It goes like that in sequence, let's say two times. 2 head, 1 tails, 2 head 1 tails.. Btw, the coin is not fake, so head and tails both have equal probability of %50.

Is there a function representation of that in mathematics? For example if we say 1 head, 1 tails and goes like that; we may write (-1)^n. (Therefore 1 stands for head and -1 stands for tails) Can we write an analytic function that represents this sequence? (It should also include the probability information)
 
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cryptist said:
Let's assume we have a coin. When it is tossed, in first 2 times it comes head, and the next time tails. It goes like that in sequence, let's say two times. 2 head, 1 tails, 2 head 1 tails.. Btw, the coin is not fake, so head and tails both have equal probability of %50.

Is there a function representation of that in mathematics? For example if we say 1 head, 1 tails and goes like that; we may write (-1)^n. (Therefore 1 stands for head and -1 stands for tails) Can we write an analytic function that represents this sequence? (It should also include the probability information)

It's a periodic function with three known values. Fitting it to the sin function and rescaling to fit your given encoding gives:

1/3 + 4 sin ( 2 pi (x/3+1/12) ) / 3

For x = 0 that's 1/3 + 4 sin ( pi/6 ) / 3 = 1/3 + 2/3 = 1
For x = 1 that's 1/3 + 4 sin ( 5pi/6 ) / 3 = 1/3 + 2/3 = 1
For x = 2 that's 1/3 + 4 sin ( 3pi/2 ) / 3 = 1/3 + -4/3 = -1

It's not clear what this has to do with probability. It's deterministic.
 
jbriggs444 said:
It's a periodic function with three known values. Fitting it to the sin function and rescaling to fit your given encoding gives:

1/3 + 4 sin ( 2 pi (x/3+1/12) ) / 3

For x = 0 that's 1/3 + 4 sin ( pi/6 ) / 3 = 1/3 + 2/3 = 1
For x = 1 that's 1/3 + 4 sin ( 5pi/6 ) / 3 = 1/3 + 2/3 = 1
For x = 2 that's 1/3 + 4 sin ( 3pi/2 ) / 3 = 1/3 + -4/3 = -1

It's not clear what this has to do with probability. It's deterministic.

Great! Yes, it is deterministic actually. The probability comes here: This function has two possible values; 1 and -1, with probabilities 2/3 and 1/3 respectively. Let's apply an operation to this function so that, it shows us the probabilities of its values. Is there such operation that leads us to probabilities of the values of that function?
 
The asymptotic density of x values where this function evaluates to 1 is 2/3.
The asymptotic density of x values where this function evaluates to -1 is 1/3.

The asymptotic density of a subset of the natural numbers is the limit (if it exists) of the number of elements in the subset that are less than n taken as a fraction of n as n increases without bound.

The notion of asymptotic density is not the same thing as "probability", though there are similarities.
 
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