Created by M. Oki Orlandofrom the Noun Project

Orthogonal Matrix

Definition (Orthogonal Matrix)

Let A\mathbf{A} be a k×kk\times k matrix of real elements. A\mathbf{A} is said to be orthogonal if AT=A1\mathbf{A}^{T}=\mathbf{A}^{-1}i.e. AAT=I\mathbf{AA}^{T}=\mathbf{I}

Remark (Length & Angle preserving)

Looking at an as a Linear Map we can intuit this as a linear map that preserves the length of vectors and the relative angle between vectors.

Theorem (Norm-Preserving Matrix)

Let A\mathbf{A} be a k×kk\times k matrix of real elements. If A\mathbf{A} is orthogonal then it is Norm-preserving i.e. Ax=x  xRk\lVert \mathbf{Ax} \rVert=\lVert \mathbf{x} \rVert \ \ \forall x\in\mathbb{R}^{k}

Theorem (Orthogonal Matrices have Determinant 1)

Let A\mathbf{A} be a k×kk\times k matrix of real elements. If A\mathbf{A} is orthogonal then detA=1\det \mathbf{A}=1

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