(a)
Since we see a summation in the definition of MGF of X we suspect that The distribution of X is discretre.
Now, the mgf of X is given by the formula :
Comparing the above expression with the given expression
we observe that the support of X is {1,2,3,.....}
and , which is the probability mass function of X.
(b)
Now, we know that the series diverges. Thus, E(X) does not exist.
(c)
To check whether exists or not, we calculate the left hand limit and right hand limit of the derivative of MGF at zero.
RHL :
Now, it is the property of MGF's that
Thus, RHL :
Now, when t > 0.
Thus, RHL =
Also,
Thus, we get indeterminate form and we apply L-Hopital's Rule.
Thus, exists and is equal to
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Discuss the history of encryption from DES through AES
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If T is a bounded operator on H with one-dimensional there exist vectors y, z E H such that Tx = (x, z)y for all show the following: sional range, show tha x H. Hence 0 (b) T-AT, λ is a scalar. If T is a bounded operator on H with one-dimensional there exist vectors y, z E H such that Tx = (x, z)y for all show the following: sional range, show tha x H. Hence 0 (b) T-AT,...