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Dec 2, 2020 at 16:08 vote accept lamlame
Nov 23, 2020 at 0:38 comment added lamlame If the definition of isotropic random vectors implies the existence of such rotational invariances then this makes sense. I didn't know that. If X has components x_i, where P(x_1 = 1)=1 and P(x_i = 1)=P(x_i = -1) = 1/2 for i=2,...n then X satisfies E XX^T = I_n. The distribution has rotational symmetries, but all such rotations leave the 1st component fixed. This seems allowed with your definition of isotropy, but I'm not sure what norm $\mu$ to choose to make it isotropic for Carlo Beenakker's answer.
Nov 22, 2020 at 23:43 history answered R W CC BY-SA 4.0