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Please answer question 4 4 ) Answer why entropy is maximized in a uniform distribution. ( 2 5 points ) Self - Information In information
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Answer why entropy is maximized in a uniform distribution. points
SelfInformation
In information theory, the entropy of a random variable is the average level of "information",
"surprise", or "uncertainty" inherent to the variable's possible outcomes.
The selfinformation is a measure of the information content associated with the outcome of a
random variable. The selfinformation of an event is defined as:
The choice of base for log the logarithm, varies for different applications. Base gives the unit of
bits. We can quantify the amount of uncertainty in an entire probability distribution using the
Shannon entropy.
Shannon Entropy
Given a discrete random variable with possible outcomes dots, which occur with probability
dots, the entropy of is formally defined as:
where denotes the sum over the variable's possible values. An equivalent definition of entropy is
the expected value of selfinformation of a variable.
Problem:
Study Shannon Entropy yourself in more detail and calculate the entropy of two random
variables and respectively.
Random variable is a uniform random variable with ie points
Random variable has the following probability mass function points:
Which random variable gives a higher entropy, or points
Answer why entropy is maximized in a uniform distribution. points
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