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Unitary matrix
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==Properties== For any unitary matrix {{mvar|U}} of finite size, the following hold: * Given two complex vectors {{math|'''x'''}} and {{math|'''y'''}}, multiplication by {{mvar|U}} preserves their [[inner product]]; that is, {{math|1=β¨''U'''''x''', ''U'''''y'''β© = β¨'''x''', '''y'''β©}}. * {{mvar|U}} is [[normal matrix|normal]] (<math>U^* U = UU^*</math>). * {{mvar|U}} is [[diagonalizable matrix|diagonalizable]]; that is, {{mvar|U}} is [[similar matrix|unitarily similar]] to a diagonal matrix, as a consequence of the [[spectral theorem]]. Thus, {{mvar|U}} has a decomposition of the form <math>U = VDV^*,</math> where {{mvar|V}} is unitary, and {{mvar|D}} is diagonal and unitary. * The [[eigenvalues]] of <math>U</math> lie on the [[unit circle]], as does <math>\det(U)</math>. * The [[eigenspace]]s of <math>U</math> are orthogonal. * {{mvar|U}} can be written as {{math|1=''U'' = ''e''<sup>''iH''</sup>}}, where {{mvar|e}} indicates the [[matrix exponential]], {{mvar|i}} is the imaginary unit, and {{mvar|H}} is a [[Hermitian matrix]]. For any nonnegative [[integer]] {{math|''n''}}, the set of all {{math|''n''β―Γβ―''n''}} unitary matrices with matrix multiplication forms a [[group (mathematics)|group]], called the [[unitary group]] {{math|U(''n'')}}. Every square matrix with unit Euclidean norm is the average of two unitary matrices.<ref>{{cite journal| first1=Chi-Kwong|last1= Li |first2= Edward|last2= Poon|doi=10.1080/03081080290025507|title=Additive decomposition of real matrices| year=2002| journal=Linear and Multilinear Algebra| volume=50| issue=4| pages=321β326|s2cid= 120125694 }}</ref>
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