A memoryless random variable is a nonnegative random
variable satisfying, for all
with
,
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(1)
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Equivalently,
|
(2)
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(3)
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For , the exponential
distribution satisfies
|
(4)
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|
(5)
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and therefore
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(6)
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(7)
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(8)
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so the exponential distribution is memoryless. It is the only nondegenerate continuous distribution on the nonnegative real numbers with this property.
For nonnegative integers and
,
the geometric distribution has the corresponding
discrete memoryless property. However, since there are two types of geometric
distribution (one starting at 0 and the other at 1), two types of definition
for memoryless are needed in the integer case. If the definition is as above,
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(9)
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then the geometric distribution that starts at 1 is memoryless. If the definition becomes
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(10)
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then the geometric distribution that starts at 0 is memoryless. Note that these two cases are equivalent in the continuous case.
For a random variable with finite mean satisfying the strict-inequality definition, a useful consequence is
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(11)
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where
indicates an expectation value.