Trace class

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In mathematics, specifically functional analysis, a trace-class operator is a linear operator for which a trace may be defined, such that the trace is a finite number independent of the choice of basis used to compute the trace. This trace of trace-class operators generalizes the trace of matrices studied in linear algebra. All trace-class operators are compact operators.

In quantum mechanics, quantum states are described by density matrices, which are certain trace class operators.[1]

Trace-class operators are essentially the same as nuclear operators, though many authors reserve the term "trace-class operator" for the special case of nuclear operators on Hilbert spaces and use the term "nuclear operator" in more general topological vector spaces (such as Banach spaces).

Note that the trace operator studied in partial differential equations is an unrelated concept.

Definition

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Let   be a separable Hilbert space,   an orthonormal basis and   a positive bounded linear operator on  . The trace of   is denoted by   and defined as[2][3]

 

independent of the choice of orthonormal basis. A (not necessarily positive) bounded linear operator   is called trace class if and only if

 

where   denotes the positive-semidefinite Hermitian square root.[4]

The trace-norm of a trace class operator T is defined as   One can show that the trace-norm is a norm on the space of all trace class operators   and that  , with the trace-norm, becomes a Banach space.

When   is finite-dimensional, every (positive) operator is trace class and this definition of trace of   coincides with the definition of the trace of a matrix. If   is complex, then   is always self-adjoint (i.e.  ) though the converse is not necessarily true.[5]

Equivalent formulations

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Given a bounded linear operator  , each of the following statements is equivalent to   being in the trace class:

  •   is finite for every orthonormal basis   of H.[2]
  • T is a nuclear operator[6][7]
There exist two orthogonal sequences   and   in   and positive real numbers   in   such that   and
 
where   are the singular values of T (or, equivalently, the eigenvalues of  ), with each value repeated as often as its multiplicity.[8]
  • T is a compact operator with  
If T is trace class then[9]
 

Examples

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Spectral theorem

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Let   be a bounded self-adjoint operator on a Hilbert space. Then   is trace class if and only if   has a pure point spectrum with eigenvalues   such that[12]

 

Mercer's theorem

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Mercer's theorem provides another example of a trace class operator. That is, suppose   is a continuous symmetric positive-definite kernel on  , defined as

 

then the associated Hilbert–Schmidt integral operator   is trace class, i.e.,

 

Finite-rank operators

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Every finite-rank operator is a trace-class operator. Furthermore, the space of all finite-rank operators is a dense subspace of   (when endowed with the trace norm).[9]

Given any   define the operator   by   Then   is a continuous linear operator of rank 1 and is thus trace class; moreover, for any bounded linear operator A on H (and into H),  [9]

Properties

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  1. If   is a non-negative self-adjoint operator, then   is trace-class if and only if   Therefore, a self-adjoint operator   is trace-class if and only if its positive part   and negative part   are both trace-class. (The positive and negative parts of a self-adjoint operator are obtained by the continuous functional calculus.)
  2. The trace is a linear functional over the space of trace-class operators, that is,   The bilinear map   is an inner product on the trace class; the corresponding norm is called the Hilbert–Schmidt norm. The completion of the trace-class operators in the Hilbert–Schmidt norm are called the Hilbert–Schmidt operators.
  3.   is a positive linear functional such that if   is a trace class operator satisfying   then  [11]
  4. If   is trace-class then so is   and  [11]
  5. If   is bounded, and   is trace-class, then   and   are also trace-class (i.e. the space of trace-class operators on H is an ideal in the algebra of bounded linear operators on H), and[11][13]   Furthermore, under the same hypothesis,[11]   and   The last assertion also holds under the weaker hypothesis that A and T are Hilbert–Schmidt.
  6. If   and   are two orthonormal bases of H and if T is trace class then  [9]
  7. If A is trace-class, then one can define the Fredholm determinant of  :   where   is the spectrum of   The trace class condition on   guarantees that the infinite product is finite: indeed,   It also implies that   if and only if   is invertible.
  8. If   is trace class then for any orthonormal basis   of   the sum of positive terms   is finite.[11]
  9. If   for some Hilbert-Schmidt operators   and   then for any normal vector     holds.[11]

Lidskii's theorem

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Let   be a trace-class operator in a separable Hilbert space   and let   be the eigenvalues of   Let us assume that   are enumerated with algebraic multiplicities taken into account (that is, if the algebraic multiplicity of   is   then   is repeated   times in the list  ). Lidskii's theorem (named after Victor Borisovich Lidskii) states that  

Note that the series on the right converges absolutely due to Weyl's inequality   between the eigenvalues   and the singular values   of the compact operator  [14]

Relationship between common classes of operators

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One can view certain classes of bounded operators as noncommutative analogue of classical sequence spaces, with trace-class operators as the noncommutative analogue of the sequence space  

Indeed, it is possible to apply the spectral theorem to show that every normal trace-class operator on a separable Hilbert space can be realized in a certain way as an   sequence with respect to some choice of a pair of Hilbert bases. In the same vein, the bounded operators are noncommutative versions of   the compact operators that of   (the sequences convergent to 0), Hilbert–Schmidt operators correspond to   and finite-rank operators to   (the sequences that have only finitely many non-zero terms). To some extent, the relationships between these classes of operators are similar to the relationships between their commutative counterparts.

Recall that every compact operator   on a Hilbert space takes the following canonical form: there exist orthonormal bases   and   and a sequence   of non-negative numbers with   such that   Making the above heuristic comments more precise, we have that   is trace-class iff the series   is convergent,   is Hilbert–Schmidt iff   is convergent, and   is finite-rank iff the sequence   has only finitely many nonzero terms. This allows to relate these classes of operators. The following inclusions hold and are all proper when   is infinite-dimensional: 

The trace-class operators are given the trace norm   The norm corresponding to the Hilbert–Schmidt inner product is   Also, the usual operator norm is   By classical inequalities regarding sequences,   for appropriate  

It is also clear that finite-rank operators are dense in both trace-class and Hilbert–Schmidt in their respective norms.

Trace class as the dual of compact operators

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The dual space of   is   Similarly, we have that the dual of compact operators, denoted by   is the trace-class operators, denoted by   The argument, which we now sketch, is reminiscent of that for the corresponding sequence spaces. Let   we identify   with the operator   defined by   where   is the rank-one operator given by  

This identification works because the finite-rank operators are norm-dense in   In the event that   is a positive operator, for any orthonormal basis   one has   where   is the identity operator:  

But this means that   is trace-class. An appeal to polar decomposition extend this to the general case, where   need not be positive.

A limiting argument using finite-rank operators shows that   Thus   is isometrically isomorphic to  

As the predual of bounded operators

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Recall that the dual of   is   In the present context, the dual of trace-class operators   is the bounded operators   More precisely, the set   is a two-sided ideal in   So given any operator   we may define a continuous linear functional   on   by   This correspondence between bounded linear operators and elements   of the dual space of   is an isometric isomorphism. It follows that   is the dual space of   This can be used to define the weak-* topology on  

See also

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References

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  1. ^ Mittelstaedt 2009, pp. 389–390.
  2. ^ a b Conway 2000, p. 86.
  3. ^ Reed & Simon 1980, p. 206.
  4. ^ Reed & Simon 1980, p. 196.
  5. ^ Reed & Simon 1980, p. 195.
  6. ^ Trèves 2006, p. 494.
  7. ^ Conway 2000, p. 89.
  8. ^ Reed & Simon 1980, pp. 203–204, 209.
  9. ^ a b c d Conway 1990, p. 268.
  10. ^ Trèves 2006, pp. 502–508.
  11. ^ a b c d e f g h Conway 1990, p. 267.
  12. ^ Simon 2010, p. 21.
  13. ^ Reed & Simon 1980, p. 218.
  14. ^ Simon, B. (2005) Trace ideals and their applications, Second Edition, American Mathematical Society.

Bibliography

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  • Conway, John B. (2000). A Course in Operator Theory. Providence (R.I.): American Mathematical Soc. ISBN 978-0-8218-2065-0.
  • Conway, John B. (1990). A course in functional analysis. New York: Springer-Verlag. ISBN 978-0-387-97245-9. OCLC 21195908.
  • Dixmier, J. (1969). Les Algebres d'Operateurs dans l'Espace Hilbertien. Gauthier-Villars.
  • Mittelstaedt, Peter (2009). "Mixed State". Compendium of Quantum Physics. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-540-70626-7_120. ISBN 978-3-540-70622-9.
  • Reed, M.; Simon, B. (1980). Methods of Modern Mathematical Physics: Vol 1: Functional analysis. Academic Press. ISBN 978-0-12-585050-6.
  • Schaefer, Helmut H. (1999). Topological Vector Spaces. GTM. Vol. 3. New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
  • Simon, Barry (2010). Szegő's theorem and its descendants: spectral theory for L² perturbations of orthogonal polynomials. Princeton University Press. ISBN 978-0-691-14704-8.
  • Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.