2014
DOI: 10.1137/130909949
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A Logarithmic Minimization Property of the Unitary Polar Factor in the Spectral and Frobenius Norms

Abstract: The unitary polar factor Q = U p in the polar decomposition of Z = U p H is the minimizer over unitary matrices Q for both Log(Q * Z) 2 and its Hermitian part sym * (Log(Q * Z)) 2 over both R and C for any given invertible matrix Z ∈ C n×n and any matrix logarithm Log, not necessarily the principal logarithm log. We prove this for the spectral matrix norm for any n and for the Frobenius matrix norm in two and three dimensions. The result shows that the unitary polar factor is the nearest orthogonal matrix to Z… Show more

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Cited by 32 publications
(44 citation statements)
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“…where dist 2 geod is the canonical left invariant geodesic distance on the Lie-groups GL(n), SL(n) and R + · 1 1, see also [2,10]. Hence, using this terminology, in the present note we have shown, for µ > 0, κ > 0, k ≥ (2)) .…”
Section: Outlook For Three Dimensions and Conclusionsupporting
confidence: 50%
See 1 more Smart Citation
“…where dist 2 geod is the canonical left invariant geodesic distance on the Lie-groups GL(n), SL(n) and R + · 1 1, see also [2,10]. Hence, using this terminology, in the present note we have shown, for µ > 0, κ > 0, k ≥ (2)) .…”
Section: Outlook For Three Dimensions and Conclusionsupporting
confidence: 50%
“…is the necessary condition for separate convexity of e k dev3 log U 2 in the three-dimensional situation n = 3. By purely differential geometric reasoning, in forthcoming papers [5,6,10] it will be shown that…”
Section: Outlook For Three Dimensions and Conclusionmentioning
confidence: 99%
“…Moreover, for all n > 1, the best approximation can be shown to coincide with those for the geodesic distance on SO(n) equipped with its natural bi-invariant Riemannian metric. In particular, we have [19,39] polar(Ľ) = arg miň R ∈ SO (2) dist euclid (Ľ,Ř) = arg miň R ∈ SO (2) dist geod (Ľ,Ř) . Although the closest rotation (best approximation) is the same for both the extrinsic (euclidean) and the intrinsic (Riemannian) distance measure, the minimal distance (approximation error) itself is different.…”
Section: The Planar Spin As a Measure For Counter-rotations In A Planementioning
confidence: 99%
“…Let us briefly summarize Richter's achievement in this paper. He uses, for the time, rather advanced methods of matrix analysis (including the theory of primary matrix functions [12]) and employs the left polar decomposition [11,22,20] of the deformation gradient F = V R into a stretch V ∈ Sym + (3) and a rotation R ∈ SO(3). For Richter, the "physical stress tensor" is the Cauchy stress tensor σ ∈ Sym (3).…”
Section: Introductionmentioning
confidence: 99%