Use the inner product with . The required first vector already has squared norm . Apply the Gram-Schmidt process to followed by . Since , its orthogonal remainder is . Its squared norm is . Therefore an orthonormal basis containing the specified vector isThe second vector may also be replaced by its negative.
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