Diagonalize the reduced density matrix on Alice's Hilbert space:
For every positive eigenvalue, define a vector on Bob's Hilbert space by
The definition of the partial trace gives
Thus the are orthonormal. Extend the to an orthonormal basis of Alice's Hilbert space. If lies in the zero-eigenvalue subspace of , then
There is therefore no component of in those additional basis directions. Expansion in Alice's orthonormal basis yields the Schmidt decomposition
Its positive Schmidt coefficients are and its Schmidt rank is . Taking the two partial traces and using the orthonormality of both families gives
Hence the two reduced density matrices have exactly the same nonzero eigenvalues, including multiplicities. Their numbers of zero eigenvalues may differ when the local Hilbert spaces have different dimensions. In particular their Von Neumann entropies agree.
The coefficient matrix in the computational orthonormal bases, with Alice's index labelling rows, is
Since the entries are real, the reduced density matrices are
Both have trace one and determinant . Their characteristic polynomial is , so the nonzero eigenvalues are
Both are positive. Thus the Schmidt rank, or the Schmidt number of this pure state, is
If “Schmidt numbers” denotes the individual positive Schmidt coefficients instead, those are
Their squares are ; giving both the Schmidt rank and the Schmidt coefficients removes this terminology ambiguity. The pure state is entangled because its Schmidt rank exceeds one.
Factor the coefficients into a tensor product:
This is already a Schmidt decomposition with one term. Consequently
Each reduced density matrix is the rank-one orthogonal projector onto , so its other eigenvalue is zero. The joint pure state is a product state, with no entanglement.

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