Operator monotone function

In linear algebra, the operator monotone function is an important type of real-valued function, fully classified by Charles Löwner in 1934.{{r|low}} It is closely allied to the operator concave and operator concave functions, and is encountered in operator theory and in matrix theory, and led to the Löwner–Heinz inequality.{{r|eom}}{{r|pat}}

Definition

{{See also|Trace inequality#Operator monotone}}

A function f : I \to \Reals defined on an interval I \subseteq \Reals is said to be operator monotone if whenever A and B are Hermitian matrices (of any size/dimensions) whose eigenvalues all belong to the domain of f and whose difference A - B is a positive semi-definite matrix, then necessarily f(A) - f(B) \geq 0

where f(A) and f(B) are the values of the matrix function induced by f (which are matrices of the same size as A and B).

Notation

This definition is frequently expressed with the notation that is now defined.

Write A \geq 0 to indicate that a matrix A is positive semi-definite and write A \geq B to indicate that the difference A - B of two matrices A and B satisfies A - B \geq 0 (that is, A - B is positive semi-definite).

With f : I \to \Reals and A as in the theorem's statement, the value of the matrix function f(A) is the matrix (of the same size as A) defined in terms of its A's spectral decomposition A = \sum_j \lambda_j P_j by

f(A) = \sum_j f(\lambda_j)P_j ~,

where the \lambda_j are the eigenvalues of A with corresponding projectors P_j.

The definition of an operator monotone function may now be restated as:

A function f : I \to \Reals defined on an interval I \subseteq \Reals said to be operator monotone if (and only if) for all positive integers n, and all n \times n Hermitian matrices A and B with eigenvalues in I, if A \geq B then f(A) \geq f(B).

See also

  • {{annotated link|Matrix function}}
  • {{annotated link|Trace inequality}}

References

{{reflist|refs=

{{cite journal|author = Löwner, K.T.|journal = Mathematische Zeitschrift|pages = 177–216|title = Über monotone Matrixfunktionen|url = http://eudml.org/doc/168495|volume = 38|year = 1934|doi = 10.1007/BF01170633|s2cid = 121439134|url-access = subscription}}

{{cite arXiv|eprint = 1305.2471|last1 = Chansangiam|first1 = Pattrawut|title = Operator Monotone Functions: Characterizations and Integral Representations|class = math.FA|year = 2013}}

{{cite web|title=Löwner–Heinz inequality|website=Encyclopedia of Mathematics|url= https://www.encyclopediaofmath.org/index.php/Löwner–Heinz_inequality}}

}}

Further reading

  • {{Cite book | last1=Schilling | first1=R. | last2=Song | first2=R. | last3=Vondraček | first3=Z. | author-link3 = Zoran Vondraček | title=Bernstein functions. Theory and Applications | year=2010 | publisher=de Gruyter, Berlin | series=Studies in Mathematics | volume=37 | doi=10.1515/9783110215311| isbn=9783110215311}}
  • {{cite journal|doi=10.1016/j.laa.2013.01.022|title=The fast track to Löwner's theorem|journal=Linear Algebra and Its Applications|volume=438|issue=11|pages=4557–4571|year=2013|last1=Hansen|first1=Frank|arxiv=1112.0098|s2cid=119607318}}
  • {{cite journal|doi=10.1155/2015/649839|title=A Survey on Operator Monotonicity, Operator Convexity, and Operator Means|journal=International Journal of Analysis|volume=2015|pages=1–8|year=2015|last1=Chansangiam|first1=Pattrawut|doi-access=free}}

{{linear-algebra-stub}}

Category:Matrix theory

Category:Operator theory