An orthogonal matrix is invertible with inverse its transpose; orthogonal matrices contain the identity and are closed under products; they preserve dot products and norms; a matrix is orthogonal exactly when its columns are orthonormal; the determinant is 1 or -1; fewer than n points of admit a unit vector orthogonal to all of them; and every point expands along the columns of an orthogonal matrix.
In the setting of Routine Facts Used Without Citation: Arithmetic, Maps, Predicativity and Indices, let , let , the set of orthogonal matrices, and let , with the set of square real matrices and their entries, the transpose, the matrix product, the matrix-vector product, the identity matrix with entries , the standard basis vectors , invertible matrices and their inverses , the determinant , the components of points of as in Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations §membership, their operations, sums of points of formed in the commutative ring of Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation §ring, the dot product, the Euclidean norm , and for as in Intervals of Natural Numbers §segment.
is invertible, , and .
and .
and .
A matrix lies in if and only if for all .
If , , satisfies for all , then the matrix with entries () lies in , and for every .
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If , , and , , is a map, then there is with and for every . If moreover for all , then for every such the map with () and , which exists and is unique by Finite Sets: Removing an Element, Injective Self-Maps, Infinite Sets, Sets of Permutations, Pairs and Extended Tuples §extension, satisfies for all ; here by Intervals of Natural Numbers: Initial Segments, Adding One Element, Splitting and Shifting §inclusion, as .
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