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Suppose $C_n$ is a product of $n$ $d\times d$ matrices with IID entries coming from standard normal. The following appears to be true. Is there an elementary proof?

$$E[\|C_n\|_F^2]=d^{n+1}$$

This follows from discussion on math.SE on the moment method, but unclear how to adapt it to this, since the moment method requires fixing $n$.

Suppose $C_n$ is a product of $n$ $d\times d$ matrices with IID entries coming from standard normal. The following appears to be true. Is there an elementary proof?

$$E[\|C_n\|_F^2]=d^{n+1}$$

Suppose $C_n$ is a product of $n$ $d\times d$ matrices with IID entries coming from standard normal. The following appears to be true. Is there an elementary proof?

$$E[\|C_n\|_F^2]=d^{n+1}$$

This follows from discussion on math.SE on the moment method, but unclear how to adapt it to this, since the moment method requires fixing $n$.

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Expected norm of a product of Gaussian matrices

Suppose $C_n$ is a product of $n$ $d\times d$ matrices with IID entries coming from standard normal. The following appears to be true. Is there an elementary proof?

$$E[\|C_n\|_F^2]=d^{n+1}$$