Renyi Entropy Calculator Online

Renyi Entropy Calculator Description

Shannon entropy is the most popular method of quantifying information, however there are others. Alfréd Rényi, a Hungarian mathematician, created the Rényi entropy, which generalises Shannon entropy and takes other entropy measurements into account as specific instances.

Renyi Entropy Calculator:

Rényi Entropy: qH = ln(q)D

Example Input :

P :0.1,0.3,0.6,0.4

α :0.5 (α must be ≥ 0 and ≠ 1)

Renyi Entropy Calculator Explanation


History: Alfred Renyi searched for the most inclusive definition of information measures that would maintain the additivity for independent events and was consistent with the axioms of probability.
He began by applying the Cauchy's functional equation: which states that If p and q are independent, then I(pq)=I(p)+I (q).
With the exception of a normalising constant, this is consistent with Hartley's information content formula I(p)=-log p. Assuming that each event X={x1,...xN} has a different probability of {p1,...pN} and provides Ik bits of information, the total or overall amount of information for the set is
Renyi Entropy Equation
It is possible to identify this as Shannon's entropy. He argued, however, that there is an implicit presumption in this equation: we take the linear average, even though it is not the only option that may be utilised. For any function g(x) with inverse g-1, the mean can be calculated using the general theory of means as
Renyi Entropy Equation
When we apply this definition to the I(P), we get
Renyi Entropy Equation
Only two feasible values for g(x) are available when the postulate/axiom of additivity for independent events is applied:
Renyi Entropy Equation
The first form provide the Shannon information and the second form provides
Renyi Entropy Equation
for non negative α different from 1. This results in a parametric family/group of information measures known as Renyi's entropies today.
Shannon is a unique case that can be demonstrated when α → 1
Renyi Entropy Equation
So, Shannon is a special case in Renyi's entropies.

How to use Calculate Renyi Entropy using Calculator?

  • You need to enter the value of P - Probabilities in the first input field given in the form. Remember each probability is seperated with comma.
  • Then enter the value of α.
  • Press the submit button and then the result will automatically appear below.

More Calculation Examples (Renyi Entropy Examples)

  • Probabilities - P: 0.1, 0.4, 0.5, 0.7
  • α : 0.5
  • Renyi Entropy = 2.6351292496666

  • Probabilities - P: 0.8, 0.6, 0.3, 0.7
  • α : 4.7
  • Renyi Entropy = 0.17920169202028

  • Probabilities - P: 0.6, 0.3, 0.7, 0.2, 0.4, 0.1
  • α : 0.7
  • Renyi Entropy = 5.2172698493051

  • Probabilities - P: 0.6, 0.3, 0.7, 0.1
  • α : 0.2
  • Renyi Entropy = 2.126099339802

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