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Classification of joint numerical ranges of three hermitian matrices of size three talk at The 14th Workshop on Numerical Ranges and Numerical Radii Max-Planck-Institute MPQ, Mnchen, Germany June 15th, 2018 speaker Stephan Weis Universit


  1. Classification of joint numerical ranges of three hermitian matrices of size three talk at The 14th Workshop on Numerical Ranges and Numerical Radii Max-Planck-Institute MPQ, München, Germany June 15th, 2018 speaker Stephan Weis Université libre de Bruxelles, Belgium joint work with nski and Karol ˙ Konrad Szyma´ Zyczkowski Jagiellonian University, Kraków, Poland

  2. Overview 1. Introduction 2. Problems with 3D Joint Numerical Ranges of 3-by-3 Matrices 3. Solution: Graph Embedding (definition of classes) 4. Finding Examples (all classes are populated) 5. Conclusion

  3. Introduction

  4. Joint Numerical Ranges let F 1 ,..., F k ∈ M d denote hermitian d -by- d matrices, the state space (mixed states) of a *-subalgebra A ⊂ M d is M(A) = { ρ ∈ A ∣ ρ ⪰ 0 , tr ( ρ ) = 1 } , the joint algebraic numerical range of F = ( F 1 ,..., F k ) is L F = {( tr ( ρ F 1 ) ,..., tr ( ρ F k )) ∶ ρ ∈ M( M d )} ⊂ R k , the joint numerical range (JNR) of F is W F = {(⟨ ψ ∣ F 1 ψ ⟩ ,..., ⟨ ψ ∣ F k ψ ⟩) ∶ ∣ ψ ⟩ ∈ C d , ⟨ ψ ∣ ψ ⟩ = 1 } with ⟨ ϕ ∣ ψ ⟩ = ϕ 1 ψ 1 + ⋯ + ϕ d ψ d Lemma conv ( W F ) = L F .

  5. Convexity of Numerical Ranges Theorem (Toeplitz and Hausdorff) W F 1 , F 2 is convex. Hence W F 1 , F 2 = L F 1 , F 2 . Math. Z. 2 (1918), 187 and Math. Z. 3 (1919), 314 Theorem (Au-Yeung and Poon) If d ≥ 3 then W F 1 , F 2 , F 3 is convex. Hence W F = L F . Southeast Asian Bull. Math. 3 (1979), 85 there is no easy rule to decide convexity of W F 1 ,..., F k if k ≥ 4 Li and Poon, SIAM J. Matrix Anal. Appl. 21 (2000), 668

  6. Boundary Generating Curve ( k = 2 ) consider the hypersurface V F 1 , F 2 = {( u 0 ∶ u 1 ∶ u 2 ) ∈ P 2 C ∣ det ( u 0 1 + u 1 F 1 + u 2 F 2 ) = 0 } with d -by- d identity matrix 1 and its dual curve F 1 , F 2 ⊂ P 2 V ∗ ∗ C closure of the set of tangent lines at smooth points of V the boundary generating curve of F 1 , F 2 is F 1 , F 2 ( R ) = {( x 1 , x 2 ) ∈ R 2 ∣ ( 1 ∶ x 1 ∶ x 2 ) ∈ V ∗ F 1 , F 2 } ⊂ R 2 V ∗ Theorem (Kippenhahn) F 1 , F 2 ( R ) . W F 1 , F 2 is the convex hull of V ∗ Mathematische Nachr. 6 (1951), 193

  7. Classification of Numerical Ranges ( k = 2) d = 2, the numerical range W F 1 , F 2 is an ellipse (possibly degenerate) d = 3, Kippenhahn (1951) derived a classification of W F 1 , F 2 from F 1 , F 2 ( R ) , the boundary generating curve V ∗ see also Keeler et al. LAA 252 (1997), 115 d = 4, Chien and Nakazato derived a classification of W F 1 , F 2 F 1 , F 2 ( R ) , Electronic J. Lin. Alg. 23 (2012), 755 from V ∗ Definition. 3-by-3 matrices F 1 ,..., F k are unitarily reducible (otherwise unitarily irreducible) if there is a unitary matrix U such that U ∗ F 1 U ,..., U ∗ F k U are of direct sum form ( 0 0 ∗ ) . ∗ ∗ 0 ∗ ∗ 0

  8. Numerical Ranges, d = 3, Unitarily Reducible F 1 , F 2 ( R ) (blue) Drawings: boundary generating curves V ∗ F 1 , F 2 ( R ) consists of three points 1) V ∗ e.g. F 1 = ( 0 0 0 ) , F 2 = ( 0 0 1 ) 0 0 0 0 0 0 0 1 0 0 0 0 F 1 , F 2 ( R ) is the union of an ellipse and a point 2) V ∗ e.g. F 1 = ( 0 0 2 ) , F 2 = ( 0 0 0 ) 0 1 0 0 − i 0 1 0 0 i 0 0

  9. Numerical Ranges, d = 3, Unitarily Reducible Drawings: boundaries of the numerical ranges W F 1 , F 2 (red) 1) W F 1 , F 2 is a triangle e.g. F 1 = ( 0 0 0 ) , F 2 = ( 0 0 1 ) 0 0 0 0 0 0 0 1 0 0 0 0 2) W F 1 , F 2 is the convex hull of an ellipse and a point e.g. F 1 = ( 0 0 2 ) , F 2 = ( 0 0 0 ) 0 1 0 0 − i 0 1 0 0 i 0 0

  10. Numerical Ranges, d = 3, Unitarily Irreducible F 1 , F 2 ( R ) (blue) Drawings: boundary generating curves V ∗ F 1 , F 2 ( R ) is the union of an ellipse and a point inside 1) V ∗ e.g. F 1 = ⎛ ⎠ , F 2 = ⎛ ⎞ ⎞ 1 0 − i − i 0 1 2 2 ⎝ 0 − 1 ⎝ i ⎠ 1 i 0 2 2 2 − 1 1 2 − i i 1 0 2 2 F 1 , F 2 ( R ) is a quartic curve 2) V ∗ e.g. F 1 = ( 0 1 0 ) , F 2 = ( 0 0 − 1 ) 0 1 0 1 0 0 1 0 1 0 1 0 F 1 , F 2 ( R ) is a sextic curve 3) V ∗ 0 0 1 e.g. F 1 = ( ) , F 2 = ( 0 0 − 1 ) 1 0 0 2 0 0 1 0 0 0 1 2 1 0

  11. Numerical Ranges, d = 3, Unitarily Irreducible Drawings: boundaries of the numerical ranges W F 1 , F 2 (red) 1) W F 1 , F 2 is an ellipse e.g. F 1 = ⎛ ⎠ , F 2 = ⎛ ⎞ ⎞ 1 0 − i − i 0 1 2 2 ⎝ 0 − 1 ⎝ i ⎠ 1 i 0 2 2 1 2 − 1 2 − i i 1 0 2 2 2) W F 1 , F 2 is the convex hull of a quartic curve e.g. F 1 = ( 0 1 0 ) , F 2 = ( 0 0 − 1 ) 0 1 0 1 0 0 1 0 1 0 1 0 3) W F 1 , F 2 is the convex hull of a sextic curve 0 0 1 e.g. F 1 = ( ) , F 2 = ( 0 0 − 1 ) 1 0 0 2 0 0 1 0 0 0 1 2 1 0

  12. Problems with Three-Dimensional Joint Numerical Ranges

  13. Boundary generating surface ( k = 3 ) consider the hypersurface V F 1 , F 2 , F 3 = { u ∈ P 3 C ∶ det ( u 0 1 + u 1 F 1 + ⋯ + u 3 F 3 ) = 0 } and its dual variety F 1 , F 2 , F 3 ⊂ P 3 V ∗ ∗ C closure of the set of tangent planes at smooth points of V the boundary generating surface of F 1 , F 2 , F 3 is F 1 , F 2 , F 3 ( R ) = { x ∈ R 3 ∣ ( 1 ∶ x 1 ∶ x 2 ∶ x 3 ) ∈ V ∗ F 1 , F 2 , F 3 } ⊂ R 2 V ∗ Observation (Chien and Nakazato, LAA 432 (2010), 173 ) F 1 , F 2 , F 3 ( R ) can contain lines, hence V ∗ F ( R ) ⊂ W F is V ∗ impossible and conv ( V ∗ F ( R )) = W F fails.

  14. Example 1 F 1 = 1 2 ( 0 1 0 ) , F 2 = 1 2 ( 1 0 0 ) , F 3 = ( 0 0 1 ) 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 boundary generating surface F 1 , F 2 , F 3 ( R ) V ∗ = { x ∈ R 3 ∣ − 4 x 2 3 − 4 x 2 3 + 4 x 3 3 − 4 x 4 3 + 4 x 1 x 2 2 x 3 − x 4 2 = 0 } 1 x 2 2 x 2 Depicted surface: F 1 , F 2 , F 3 ( R ) with the Intersection of V ∗ boundary of W F 1 , F 2 , F 3

  15. Example 1 F 1 = 1 2 ( 0 1 0 ) , F 2 = 1 2 ( 1 0 0 ) , F 3 = ( 0 0 1 ) 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 boundary generating surface F 1 , F 2 , F 3 ( R ) V ∗ = { x ∈ R 3 ∣ − 4 x 2 3 − 4 x 2 3 + 4 x 3 3 − 4 x 4 3 + 4 x 1 x 2 2 x 3 − x 4 2 = 0 } 1 x 2 2 x 2 F 1 , F 2 , F 3 ( R ) the x 1 -axis lies in V ∗

  16. Example 2 F 1 = ( 0 0 1 ) , F 2 = 1 2 ( 0 0 0 ) , F 3 = 1 2 ( 1 0 0 ) 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 boundary generating surface F 1 , F 2 , F 3 ( R ) = { x ∈ R 3 ∣ − x 2 2 + x 1 x 2 3 − x 2 3 − x 4 3 = 0 } V ∗ 1 x 2 1 x 2 Depicted surface: F 1 , F 2 , F 3 ( R ) Intersection of V ∗ with the boundary of W F 1 , F 2 , F 3

  17. Example 2 F 1 = ( 0 0 1 ) , F 2 = 1 2 ( 0 0 0 ) , F 3 = 1 2 ( 1 0 0 ) 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 boundary generating surface F 1 , F 2 , F 3 ( R ) = { x ∈ R 3 ∣ − x 2 2 + x 1 x 2 3 − x 2 3 − x 4 3 = 0 } V ∗ 1 x 2 1 x 2 the x 1 - and x 2 -axes F 1 , F 2 , F 3 ( R ) lie in V ∗

  18. Example 3 F 1 = 1 2 ( 0 0 0 ) , F 2 = 1 2 ( 1 0 0 ) , F 3 = 1 2 ( 0 1 0 ) 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 boundary generating surface = Roman surface F 1 , F 2 , F 3 ( R ) = { x ∈ R 3 ∣ x 1 x 2 x 3 − x 2 2 − x 2 3 − x 2 3 = 0 } V ∗ 1 x 2 1 x 2 2 x 2 Depicted surface: F 1 , F 2 , F 3 ( R ) Intersection of V ∗ with the boundary of W F 1 , F 2 , F 3

  19. Example 3 F 1 = 1 2 ( 0 0 0 ) , F 2 = 1 2 ( 1 0 0 ) , F 3 = 1 2 ( 0 1 0 ) 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 boundary generating surface = Roman surface F 1 , F 2 , F 3 ( R ) = { x ∈ R 3 ∣ x 1 x 2 x 3 − x 2 2 − x 2 3 − x 2 3 = 0 } V ∗ 1 x 2 1 x 2 2 x 2 all three coordinate axes F 1 , F 2 , F 3 ( R ) lie in V ∗

  20. Classification of JNRs: State of the Art Kippenhahn’s assertion does not generalize from k = 2 to k = 3, an algebraic geometry approach seems unavailable ! very little is known about W F = W F 1 ,..., F k , k ≥ 3, except for • corner points (conical points) imply F unitarily reducible Binding and Li, LAA 151 (1991), 157 • ovals and reconstruction of F from W F Krupnik and Spitkovsky, LAA 419 (2006), 569 • a maximum of 4 ellipses on the boundary of W F if k = d = 3 Chien and Nakazato, LAA 430 (2009), 204 Our Approach: Study configurations of exposed faces on the boundary of W F .

  21. Solution: Graph Embedding

  22. Exposed Faces an exposed face of a convex set C ⊂ R n is the set of maximizers of a linear functional, F C ( u ) = argmax {⟨ x , u ⟩ ∶ x ∈ C } , u ∈ R n , or the empty set; let F ( u ) = u 1 F 1 + ⋯ + u k F k , u ∈ R k , and E ∶ M ( M d ) → W F , ρ ↦ ( tr ( ρ F 1 ) ,..., tr ( ρ F k )) ; then E − 1 ( F W F ( u )) = F M( M d ) ( F ( u )) and F M( M d ) ( F ( u )) = M ( pM d p ) where p is the spectral projection of F ( u ) corresponding to the maximal eigenvalue

  23. Large Faces we assume k = d = 3 and call large face an exposed face of W F which is neither ∅ , nor a singleton, nor equal to all of W F nski, SW, ˙ Lemma (Szyma´ Zyczkowski) 1) Every large face is a segment or a filled ellipse. 2) Each two distinct large faces intersect in a singleton. 3) If G 1 , G 2 , G 3 are mutually distinct large faces and G 1 ∩ G 2 ∩ G 3 = ∅ , then W F has a corner point. 4) If there are two distinct large faces which are seg- ments, then W F has a corner point.

  24. Graph Embedding 2) and 3) of the lemma show that a complete graph K n embeds into the union of large faces with one vertex on each large face the boundary of W F is homeomorphic to the sphere S 2 so n ≤ 4 nski, SW, ˙ Theorem (Szyma´ Zyczkowski) Let k = d = 3. If W F has no corner point, then the set of large faces has one of the following configurations.

  25. Finding Examples

  26. Finding Candidates searching for candidates belonging to each class, we used • random matrices • guessing and found some new examples (red) Question: How to determine the class of an example?

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