A probability density function must be nonnegative and have definite integral one. HereThereforeThis value is positive, so the nonnegativity requirement also holds.
The cosine function is positive on and negative on . Thus any nonzero makes negative on an interval of positive length. Taking makes the total definite integral zero. HenceNormalization alone would suggest , but that candidate still violates nonnegativity and therefore is not a probability density function.
We need . Indeed, if , the function is negative on ; if , the improper integral diverges at zero; and if , its support interval is empty. For ,Setting this equal to one gives the unique admissible valueOn this interval , so both requirements for a probability density function are met.
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