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In
mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, specifically
functional analysis Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (for example, Inner product space#Definition, inner product, Norm (mathematics ...
, 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 Linear algebra is the branch of mathematics concerning linear equations such as :a_1x_1+\cdots +a_nx_n=b, linear maps such as :(x_1, \ldots, x_n) \mapsto a_1x_1+\cdots +a_nx_n, and their representations in vector spaces and through matrix (mathemat ...
. All trace-class operators are compact operators. In
quantum mechanics Quantum mechanics is the fundamental physical Scientific theory, theory that describes the behavior of matter and of light; its unusual characteristics typically occur at and below the scale of atoms. Reprinted, Addison-Wesley, 1989, It is ...
,
quantum state In quantum physics, a quantum state is a mathematical entity that embodies the knowledge of a quantum system. Quantum mechanics specifies the construction, evolution, and measurement of a quantum state. The result is a prediction for the system ...
s are described by
density matrices In quantum mechanics, a density matrix (or density operator) is a matrix used in calculating the probabilities of the outcomes of measurements performed on physical systems. It is a generalization of the state vectors or wavefunctions: while th ...
, which are certain trace class operators. Trace-class operators are essentially the same as
nuclear operator In mathematics, nuclear operators are an important class of linear operators introduced by Alexander Grothendieck in his doctoral dissertation. Nuclear operators are intimately tied to the projective tensor product of two topological vector space ...
s, though many authors reserve the term "trace-class operator" for the special case of nuclear operators on
Hilbert space In mathematics, a Hilbert space is a real number, real or complex number, complex inner product space that is also a complete metric space with respect to the metric induced by the inner product. It generalizes the notion of Euclidean space. The ...
s and use the term "nuclear operator" in more general
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
s (such as
Banach space In mathematics, more specifically in functional analysis, a Banach space (, ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vectors and ...
s).


Definition

Let H be a separable
Hilbert space In mathematics, a Hilbert space is a real number, real or complex number, complex inner product space that is also a complete metric space with respect to the metric induced by the inner product. It generalizes the notion of Euclidean space. The ...
, \left\_^ an
orthonormal basis In mathematics, particularly linear algebra, an orthonormal basis for an inner product space V with finite Dimension (linear algebra), dimension is a Basis (linear algebra), basis for V whose vectors are orthonormal, that is, they are all unit vec ...
and A : H \to H a positive bounded linear operator on H. The trace of A is denoted by \operatorname (A) and defined as :\operatorname (A) = \sum_^ \left\langle A e_k, e_k \right\rangle, independent of the choice of orthonormal basis. A (not necessarily positive) bounded linear operator T:H\rightarrow H is called trace class ''if and only if'' :\operatorname( , T, ) < \infty, where , T, := \sqrt denotes the positive-semidefinite Hermitian
square root In mathematics, a square root of a number is a number such that y^2 = x; in other words, a number whose ''square'' (the result of multiplying the number by itself, or y \cdot y) is . For example, 4 and −4 are square roots of 16 because 4 ...
. The trace-norm of a trace class operator is defined as \, T\, _1 := \operatorname (, T, ). One can show that the trace-norm is a norm on the space of all trace class operators B_1(H) and that B_1(H), with the trace-norm, becomes a
Banach space In mathematics, more specifically in functional analysis, a Banach space (, ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vectors and ...
. When H is finite-dimensional, every (positive) operator is trace class. For A this definition coincides with that of the trace of a matrix. If H is complex, then A is always
self-adjoint In mathematics, an element of a *-algebra is called self-adjoint if it is the same as its adjoint (i.e. a = a^*). Definition Let \mathcal be a *-algebra. An element a \in \mathcal is called self-adjoint if The set of self-adjoint elements ...
(i.e. A=A^*=, A, ) though the converse is not necessarily true.


Equivalent formulations

Given a bounded linear operator T : H \to H, each of the following statements is equivalent to T being in the trace class: * \operatorname (, T, ) =\sum_k \left\langle , T, \, e_k, e_k \right\rangle is finite for every
orthonormal basis In mathematics, particularly linear algebra, an orthonormal basis for an inner product space V with finite Dimension (linear algebra), dimension is a Basis (linear algebra), basis for V whose vectors are orthonormal, that is, they are all unit vec ...
\left(e_k\right)_ of . * is a
nuclear operator In mathematics, nuclear operators are an important class of linear operators introduced by Alexander Grothendieck in his doctoral dissertation. Nuclear operators are intimately tied to the projective tensor product of two topological vector space ...
. *: There exist two
orthogonal In mathematics, orthogonality (mathematics), orthogonality is the generalization of the geometric notion of ''perpendicularity''. Although many authors use the two terms ''perpendicular'' and ''orthogonal'' interchangeably, the term ''perpendic ...
sequences \left(x_i\right)_^ and \left(y_i\right)_^ in H and positive
real number In mathematics, a real number is a number that can be used to measure a continuous one- dimensional quantity such as a duration or temperature. Here, ''continuous'' means that pairs of values can have arbitrarily small differences. Every re ...
s \left(\lambda_i\right)_^ in \ell^1 such that \sum_^ \lambda_i < \infty and *::x \mapsto T(x) = \sum_^ \lambda_i \left\langle x, x_i \right\rangle y_i, \quad \forall x \in H, *:where \left(\lambda_i\right)_^ are the singular values of (or, equivalently, the eigenvalues of , T, ), with each value repeated as often as its multiplicity. * is a compact operator with \operatorname(, T, )<\infty. *:If is trace class then *::\, T\, _1 = \sup \left\. * is an integral operator. * is equal to the composition of two Hilbert-Schmidt operators. * \sqrt is a Hilbert-Schmidt operator.


Examples


Spectral theorem

Let T be a bounded self-adjoint operator on a Hilbert space. Then T^2 is trace class ''if and only if'' T has a pure point spectrum with eigenvalues \left\_^ such that :\operatorname(T^2) = \sum_^\lambda_i(T^2) < \infty.


Mercer's theorem

Mercer's theorem In mathematics, specifically functional analysis, Mercer's theorem is a representation of a symmetric positive-definite function on a square as a sum of a convergent sequence of product functions. This theorem, presented in , is one of the most ...
provides another example of a trace class operator. That is, suppose K is a continuous symmetric positive-definite kernel on L^2( ,b, defined as : K(s,t) = \sum_^\infty \lambda_j \, e_j(s) \, e_j(t) then the associated Hilbert–Schmidt integral operator T_K is trace class, i.e., :\operatorname(T_K) = \int_a^b K(t,t)\,dt = \sum_i \lambda_i.


Finite-rank operators

Every finite-rank operator is a trace-class operator. Furthermore, the space of all finite-rank operators is a dense subspace of B_1(H) (when endowed with the trace norm). Given any x, y \in H, define the operator x \otimes y : H \to H by (x \otimes y)(z) := \langle z, y \rangle x. Then x \otimes y 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''), \operatorname(A(x \otimes y)) = \langle A x, y \rangle.


Properties

  1. If A : H \to H is a non-negative
    self-adjoint operator In mathematics, a self-adjoint operator on a complex vector space ''V'' with inner product \langle\cdot,\cdot\rangle is a linear map ''A'' (from ''V'' to itself) that is its own adjoint. That is, \langle Ax,y \rangle = \langle x,Ay \rangle for al ...
    , then A is trace-class if and only if \operatorname A < \infty. Therefore, a self-adjoint operator A is trace-class
    if and only if In logic and related fields such as mathematics and philosophy, "if and only if" (often shortened as "iff") is paraphrased by the biconditional, a logical connective between statements. The biconditional is true in two cases, where either bo ...
    its positive part A^ and negative part A^ 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 In mathematics, a linear form (also known as a linear functional, a one-form, or a covector) is a linear mapIn some texts the roles are reversed and vectors are defined as linear maps from covectors to scalars from a vector space to its field of ...
    over the space of trace-class operators, that is, \operatorname(aA + bB) = a \operatorname(A) + b \operatorname(B). The bilinear map \langle A, B \rangle = \operatorname(A^* B) is an
    inner product In mathematics, an inner product space (or, rarely, a Hausdorff pre-Hilbert space) is a real vector space or a complex vector space with an operation called an inner product. The inner product of two vectors in the space is a scalar, ofte ...
    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. \operatorname : B_1(H) \to \Complex is a positive linear functional such that if T is a trace class operator satisfying T \geq 0 \text\operatorname T = 0, then T = 0.
  4. If T : H \to H is trace-class then so is T^* and \, T\, _1 = \left\, T^*\right\, _1.
  5. If A : H \to H is bounded, and T : H \to H is trace-class, then AT and TA are also trace-class (i.e. the space of trace-class operators on ''H'' is a two-sided ideal in the algebra of bounded linear operators on ''H''), and \, A T\, _1 = \operatorname(, A T, ) \leq \, A\, \, T\, _1, \quad \, T A\, _1 = \operatorname(, T A, ) \leq \, A\, \, T\, _1. Furthermore, under the same hypothesis, \operatorname(A T) = \operatorname(T A) and , \operatorname(A T), \leq \, A\, \, T\, . The last assertion also holds under the weaker hypothesis that ''A'' and ''T'' are Hilbert–Schmidt.
  6. If \left(e_k\right)_ and \left(f_k\right)_ are two orthonormal bases of ''H'' and if ''T'' is trace class then \sum_ \left, \left\langle T e_k, f_k \right\rangle \ \leq \, T\, _.
  7. If ''A'' is trace-class, then one can define the Fredholm determinant of I + A: \det(I + A) := \prod_ + \lambda_n(A) where \_n is the spectrum of A. The trace class condition on A guarantees that the infinite product is finite: indeed, \det(I + A) \leq e^. It also implies that \det(I + A) \neq 0 if and only if (I + A) is invertible.
  8. If A : H \to H is trace class then for any
    orthonormal basis In mathematics, particularly linear algebra, an orthonormal basis for an inner product space V with finite Dimension (linear algebra), dimension is a Basis (linear algebra), basis for V whose vectors are orthonormal, that is, they are all unit vec ...
    \left(e_k\right)_ of H, the sum of positive terms \sum_k \left, \left\langle A \, e_k, e_k \right\rangle \ is finite.
  9. If A = B^* C for some Hilbert-Schmidt operators B and C then for any normal vector e \in H, , \langle A e, e \rangle, = \frac \left(\, B e\, ^2 + \, C e\, ^2\right) holds.


Lidskii's theorem

Let A be a trace-class operator in a separable Hilbert space H, and let \_^ be the eigenvalues of A. Let us assume that \lambda_n(A) are enumerated with algebraic multiplicities taken into account (that is, if the algebraic multiplicity of \lambda is k, then \lambda is repeated k times in the list \lambda_1(A), \lambda_2(A), \dots). Lidskii's theorem (named after Victor Borisovich Lidskii) states that \operatorname(A)=\sum_^N \lambda_n(A) Note that the series on the right converges absolutely due to Weyl's inequality \sum_^N \left, \lambda_n(A)\ \leq \sum_^M s_m(A) between the eigenvalues \_^N and the singular values \_^M of the compact operator A.Simon, B. (2005) ''Trace ideals and their applications'', Second Edition, American Mathematical Society.


Relationship between common classes of operators

One can view certain classes of bounded operators as noncommutative analogue of classical
sequence space In functional analysis and related areas of mathematics, a sequence space is a vector space whose elements are infinite sequences of real or complex numbers. Equivalently, it is a function space whose elements are functions from the natural num ...
s, with trace-class operators as the noncommutative analogue of the
sequence space In functional analysis and related areas of mathematics, a sequence space is a vector space whose elements are infinite sequences of real or complex numbers. Equivalently, it is a function space whose elements are functions from the natural num ...
\ell^1(\N). Indeed, it is possible to apply the
spectral theorem In linear algebra and functional analysis, a spectral theorem is a result about when a linear operator or matrix can be diagonalized (that is, represented as a diagonal matrix in some basis). This is extremely useful because computations involvin ...
to show that every normal trace-class operator on a separable Hilbert space can be realized in a certain way as an \ell^1 sequence with respect to some choice of a pair of Hilbert bases. In the same vein, the bounded operators are noncommutative versions of \ell^(\N), the compact operators that of c_0 (the sequences convergent to 0), Hilbert–Schmidt operators correspond to \ell^2(\N), and finite-rank operators to c_ (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 T on a Hilbert space takes the following canonical form: there exist orthonormal bases (u_i)_i and (v_i)_i and a sequence \left(\alpha_i\right)_ of non-negative numbers with \alpha_i \to 0 such that T x = \sum_i \alpha_i \langle x, v_i\rangle u_i \quad \text x\in H. Making the above heuristic comments more precise, we have that T is trace-class iff the series \sum_i \alpha_i is convergent, T is Hilbert–Schmidt iff \sum_i \alpha_i^2 is convergent, and T is finite-rank iff the sequence \left(\alpha_i\right)_ has only finitely many nonzero terms. This allows to relate these classes of operators. The following inclusions hold and are all proper when H is infinite-dimensional:\ \subseteq \ \subseteq \ \subseteq \. The trace-class operators are given the trace norm \, T\, _1 = \operatorname \left left(T^* T\right)^\right= \sum_i \alpha_i. The norm corresponding to the Hilbert–Schmidt inner product is \, T\, _2 = \left operatorname \left(T^* T\right)\right = \left(\sum_i \alpha_i^2\right)^. Also, the usual operator norm is \, T \, = \sup_ \left(\alpha_i\right). By classical inequalities regarding sequences, \, T\, \leq \, T\, _2 \leq \, T\, _1 for appropriate T. 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

The
dual space In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V,'' together with the vector space structure of pointwise addition and scalar multiplication by cons ...
of c_0 is \ell^1(\N). Similarly, we have that the dual of compact operators, denoted by K(H)^*, is the trace-class operators, denoted by B_1. The argument, which we now sketch, is reminiscent of that for the corresponding sequence spaces. Let f \in K(H)^*, we identify f with the operator T_f defined by \langle T_f x, y \rangle = f\left(S_\right), where S_ is the rank-one operator given by S_(h) = \langle h, y \rangle x. This identification works because the finite-rank operators are norm-dense in K(H). In the event that T_f is a positive operator, for any orthonormal basis u_i, one has \sum_i \langle T_f u_i, u_i \rangle = f(I) \leq \, f\, , where I is the identity operator: I = \sum_i \langle \cdot, u_i \rangle u_i. But this means that T_f is trace-class. An appeal to
polar decomposition In mathematics, the polar decomposition of a square real or complex matrix A is a factorization of the form A = U P, where U is a unitary matrix, and P is a positive semi-definite Hermitian matrix (U is an orthogonal matrix, and P is a posit ...
extend this to the general case, where T_f need not be positive. A limiting argument using finite-rank operators shows that \, T_f\, _1 = \, f\, . Thus K(H)^* is isometrically isomorphic to B_1.


As the predual of bounded operators

Recall that the dual of \ell^1(\N) is \ell^(\N). In the present context, the dual of trace-class operators B_1 is the bounded operators B(H). More precisely, the set B_1 is a two-sided ideal in B(H). So given any operator T \in B(H), we may define a continuous
linear functional In mathematics, a linear form (also known as a linear functional, a one-form, or a covector) is a linear mapIn some texts the roles are reversed and vectors are defined as linear maps from covectors to scalars from a vector space to its field of ...
\varphi_T on B_1 by \varphi_T(A) = \operatorname (AT). This correspondence between bounded linear operators and elements \varphi_T of the
dual space In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V,'' together with the vector space structure of pointwise addition and scalar multiplication by cons ...
of B_1 is an isometric isomorphism. It follows that B(H) the dual space of B_1. This can be used to define the weak-* topology on B(H).


See also

*


References


Bibliography

* * * Dixmier, J. (1969). ''Les Algebres d'Operateurs dans l'Espace Hilbertien''. Gauthier-Villars. * * * * * {{Functional analysis Operator theory Topological tensor products Linear operators