$\newcommand\ket[1]{|#1\rangle}$ $\newcommand\bra[1]{\langle #1|}$ $\newcommand\mean[1]{\langle #1\rangle}$
Let us consider an entangled state $\mathcal{H} = \mathcal{H_1}\otimes\mathcal{H_2}$. In this state, one defines the density operator $\rho$ as $\rho=\sum_i\rho_i\ket{i}\bra{i}$. It is a well-known result that the mean value of $A_1\otimes\mathcal{I}_2$ (where $\mathcal{I}_2$ is the identity in $\mathcal{H}_2$) would be given by \begin{equation} \mean{\mathcal{A}_1\otimes\mathcal{I}_2} = \mathrm{Tr}\left[\rho\left(\mathcal{A}_1\otimes\mathcal{I}_2\right)\right] = \mean{\mathcal{A}_1}_{\rho_1} = \mathrm{Tr}_{\mathcal{H}_1}\left[\rho_1\mathcal{A}_1\right] \end{equation} where $\rho_1 = \mathrm{Tr}_{\mathcal{H}_2}\rho$ is the reduced density matrix on the subsystem $\mathcal{H}_1$ and $\mathrm{Tr}_{\mathcal{H}_i}$ is the partial trace over the Hilbert space $\mathcal{H}_i$. Let us consider $\rho_1$ and $\rho_2$.
One defines the Von Neumann entropy as \begin{equation} S(\rho) = -\mathrm{Tr}\left[\rho \log\rho\right] \end{equation} One of the many-properties of this entropy is that - for any entangled state, $S(\rho_1\otimes\rho_2) = S(\rho_1)+S(\rho_2)$.
I have proved it the following way. I define ${\ket{1:\alpha,2:a}}$ as the basis of $\mathcal{H}=\mathcal{H}_1\otimes\mathcal{H}_2$. In this basis, one writes \begin{align} S(\rho_1\otimes\rho_2) = - \mathrm{Tr}\left[\rho_1\otimes\rho_2\; ln\left(\rho_1\otimes\rho_2\right)\right] &= -\sum_{\alpha,a}\bra{1:\alpha,2:a}\rho_1\otimes\rho_2\ket{1:\alpha,2:a}\log(\rho_1\otimes\rho_2)\\ \end{align} I use now the fact that the logarithm of a product is equal to the sum of the logarithms: $\log(a b) = \log(a)+\log(b)$. Am I allowed to generalize this to the tensor product of two states? Using this property, I find that \begin{equation} S(\rho_1\otimes\rho_2) = -\sum_\alpha \bra{1:\alpha}\rho_1\ket{1:\alpha} + \left(-\sum_\beta \bra{2:a}\rho_2\ket{2:a}\log(\rho_2)\right) = S(\rho_1)+S(\rho_2) \end{equation} It feels like cheating, yet it seems to work. Any insights?
Additionally, I have trouble interpreting this result. Thanks for your input!