What is the distribution of the unit sphere multiplied by a uniformly distributed scalar?












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We know that any rotationally-invariant distribution can be written as X = RU where R is |X|, U ~ Unif[S^(n-1)], and R is independent of U. In words, we can choose a direction vector using the unit sphere and then choose its length using an independent distribution.



My question is this: Given that R ~ Unif[0,1], how do I find the distribution of X? I can just describe this distribution as the product of R and U, but how do I use it?










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    We know that any rotationally-invariant distribution can be written as X = RU where R is |X|, U ~ Unif[S^(n-1)], and R is independent of U. In words, we can choose a direction vector using the unit sphere and then choose its length using an independent distribution.



    My question is this: Given that R ~ Unif[0,1], how do I find the distribution of X? I can just describe this distribution as the product of R and U, but how do I use it?










    share|cite|improve this question

























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      0







      We know that any rotationally-invariant distribution can be written as X = RU where R is |X|, U ~ Unif[S^(n-1)], and R is independent of U. In words, we can choose a direction vector using the unit sphere and then choose its length using an independent distribution.



      My question is this: Given that R ~ Unif[0,1], how do I find the distribution of X? I can just describe this distribution as the product of R and U, but how do I use it?










      share|cite|improve this question













      We know that any rotationally-invariant distribution can be written as X = RU where R is |X|, U ~ Unif[S^(n-1)], and R is independent of U. In words, we can choose a direction vector using the unit sphere and then choose its length using an independent distribution.



      My question is this: Given that R ~ Unif[0,1], how do I find the distribution of X? I can just describe this distribution as the product of R and U, but how do I use it?







      probability geometry probability-theory probability-distributions rotations






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      share|cite|improve this question










      asked Dec 9 '18 at 20:04









      purpleostrich

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