For any real square matrix , the symmetric and antisymmetric parts of a matrix give , whose summands are respectively a symmetric matrix and an antisymmetric matrix. Here it gives
Transposing the first summand leaves it unchanged; transposing the second changes its sign. Entrywise addition recovers the original matrix. The decomposition is unique because a matrix that is both symmetric and antisymmetric must be zero.
The expression assumes is invertible. By the cyclic property of the trace,
For a real or complex antisymmetric matrix, forces every diagonal entry to satisfy , hence . Therefore
This also demonstrates invariance of the matrix trace under matrix similarity. Antisymmetry of itself is not needed.
Let . The chain rule gives , so the two given summands combine into its logarithmic derivative, . For , , so the real logarithm is defined throughout the integration path. Since ,
This satisfies , and differentiation recovers both terms of the integrand.
Of the ten outcomes in , all except have exactly one repeated pair. Hence . Applying Bayes' theorem in the requested direction,
Equivalently there are nine favorable outcomes among the ninety outcomes in . This direct count confirms the conditional probability calculation.

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