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Numerical range

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In the mathematical field of linear algebra and convex analysis, the numerical range or field of values of a complex n × n matrix A is the set

Contents

W ( A ) = { x A x x x x C n ,   x 0 }

where x* denotes the conjugate transpose of the vector x.

In engineering, numerical ranges are used as a rough estimate of eigenvalues of A. Recently, generalizations of numerical range are used to study quantum computing.

A related concept is the numerical radius, which is the largest absolute value of the numbers in the numerical range, i.e.

r ( A ) = sup { | λ | : λ W ( A ) } = sup x = 1 | A x , x | .

r(A) is a norm. r(A)≤||A||≤2r(A) where ||A|| is the operator norm of A.

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Properties

  1. The numerical range is the range of the Rayleigh quotient.
  2. (Hausdorff–Toeplitz theorem) The numerical range is convex and compact.
  3. W ( α A + β I ) = α W ( A ) + { β } for all square matrix A and complex numbers α and β. Here I is the identity matrix.
  4. W ( A ) is a subset of the closed right half-plane if and only if A + A is positive semidefinite.
  5. The numerical range W ( ) is the only function on the set of square matrices that satisfies (2), (3) and (4).
  6. (Sub-additive) W ( A + B ) W ( A ) + W ( B ) .
  7. W ( A ) contains all the eigenvalues of A.
  8. The numerical range of a 2×2 matrix is an elliptical disk.
  9. W ( A ) is a real line segment [α, β] if and only if A is a Hermitian matrix with its smallest and the largest eigenvalues being α and β
  10. If A is a normal matrix then W ( A ) is the convex hull of its eigenvalues.
  11. If α is a sharp point on the boundary of W ( A ) , then α is a normal eigenvalue of A.
  12. r ( ) is a norm on the space of n×n matrices.
  13. r ( A n ) r ( A ) n

Generalisations

  • C - numerical range
  • Higher rank numerical range
  • Joint numerical range
  • Product numerical range
  • Polynomial numerical hull
  • References

    Numerical range Wikipedia