Information Theory and Coding Basics

Which of the following correctly describes a property of the amount of information (−log₂ p on being told that an event of probability p has occurred)?

  1. AThe amount of information on being told that an event of probability 1, which always occurs, has occurred is 1 bit
  2. BThe amount of information on being told that two independent events have both occurred is the sum of their individual amounts of information
  3. CThe more probable an event, the more information we receive on being told that it has occurred
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Answer: B. The amount of information on being told that two independent events have both occurred is the sum of their individual amounts of information

Two independent events both occur with probability p₁ × p₂, so the amount of information is −log₂(p₁ × p₂) = (−log₂ p₁) + (−log₂ p₂), the sum of the individual amounts. Information is defined with a logarithm precisely to give it this additive property. Being told that a certain event has occurred tells us nothing new, so its amount of information is −log₂ 1 = 0.

  • A. The amount of information of a certain event is −log₂ 1 = 0 bits. 1 bit is the amount of information of an event of probability 1/2.
  • B. Correct. Taking the logarithm turns the product of probabilities into a sum.
  • C. It is the other way round. The less likely an event, the more information we receive on being told that it has occurred.
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  1. A source emits the symbols A, B, C and D independently with probabilities 1/2, 1/4, 1/8 and 1/8. Which of the following is the entropy (average amount of information per symbol) of this source?
  2. Which of the following correctly pairs the maximum entropy of a source that emits 8 kinds of symbols with the condition under which it is reached?
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