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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 ...
, the Schatten norm (or Schatten–von-Neumann norm) arises as a generalization of ''p''-integrability similar to the
trace class 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 tra ...
norm and the Hilbert–Schmidt norm.


Definition

Let H_1, H_2 be Hilbert spaces, and T a (linear) bounded operator from H_1 to H_2. For p\in T\, _p = T, ^p), where , T, :=\sqrt, using the Square_root_of_a_matrix#Square_roots_of_positive_operators, operator square root. If T is compact and H_1,\,H_2 are separable, then : \, T\, _p := \bigg( \sum_ s^p_n(T)\bigg)^ for s_1(T) \ge s_2(T) \ge \cdots \ge s_n(T) \ge \cdots \ge 0 the singular values of T, i.e. the eigenvalues of the Hermitian operator , T, :=\sqrt.


Special cases

*The Schatten 1-norm is the nuclear norm (also known as the trace norm, or the Ky Fan ''n''-norm). * The Schatten 2-norm is the
Frobenius norm In the field of mathematics, norms are defined for elements within a vector space. Specifically, when the vector space comprises matrices, such norms are referred to as matrix norms. Matrix norms differ from vector norms in that they must also ...
. * The Schatten ∞-norm is the spectral norm (also known as the operator norm, or the largest singular value).


Properties

In the following we formally extend the range of p to ,\infty/math> with the convention that \, \cdot\, _ is the operator norm. The dual index to p=\infty is then q=1. * The Schatten norms are unitarily invariant: for unitary operators U and V and p\in ,\infty/math>, :: \, U T V\, _p = \, T\, _p. * They satisfy
Hölder's inequality In mathematical analysis, Hölder's inequality, named after Otto Hölder, is a fundamental inequality (mathematics), inequality between Lebesgue integration, integrals and an indispensable tool for the study of Lp space, spaces. The numbers an ...
: for all p\in ,\infty/math> and q such that \frac + \frac = 1, and operators S\in\mathcal(H_2,H_3), T\in\mathcal(H_1,H_2) defined between Hilbert spaces H_1, H_2, and H_3 respectively, :: \, ST\, _1 \leq \, S\, _p \, T\, _q. If p,q,r\in ,\infty/math> satisfy \tfrac + \tfrac = \tfrac, then we have :: \, ST\, _r \leq \, S\, _p \, T\, _q. The latter version of Hölder's inequality is proven in higher generality (for noncommutative L^p spaces instead of Schatten-p classes) in. (For matrices the latter result is found in.) * Sub-multiplicativity: For all p\in ,\infty/math> and operators S\in\mathcal(H_2,H_3), T\in\mathcal(H_1,H_2) defined between Hilbert spaces H_1, H_2, and H_3 respectively, :: \, ST\, _p \leq \, S\, _p \, T\, _p . * Monotonicity: For 1\leq p\leq p'\leq\infty, :: \, T\, _1 \geq \, T\, _p \geq \, T\, _ \geq \, T\, _\infty. * Duality: Let H_1, H_2 be finite-dimensional Hilbert spaces, p\in ,\infty/math> and q such that \frac + \frac = 1, then :: \, S\, _p = \sup\lbrace , \langle S,T\rangle , \mid \, T\, _q = 1\rbrace, : where \langle S,T\rangle = \operatorname(S^*T) denotes the Hilbert–Schmidt inner product. *Let (e_k)_k,(f_)_ be two orthonormal basis of the Hilbert spaces H_1, H_2, then for p=1 :: \, T\, _1 \leq \sum_\left, T_\.


Remarks

Notice that \, \cdot\, _2 is the Hilbert–Schmidt norm (see
Hilbert–Schmidt operator In mathematics, a Hilbert–Schmidt operator, named after David Hilbert and Erhard Schmidt, is a bounded operator A \colon H \to H that acts on a Hilbert space H and has finite Hilbert–Schmidt norm \, A\, ^2_ \ \stackrel\ \sum_ \, Ae_i\, ^ ...
), \, \cdot\, _1 is the trace class norm (see
trace class 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 tra ...
), and \, \cdot\, _\infty is the operator norm (see
operator norm In mathematics, the operator norm measures the "size" of certain linear operators by assigning each a real number called its . Formally, it is a norm defined on the space of bounded linear operators between two given normed vector spaces. Inform ...
). Note that the matrix p-norm is often also written as \, \cdot\, _p, but it is not the same as Schatten norm. In fact, we have \, A\, _ = \, A\, _. For p\in(0,1) the function \, \cdot\, _p is an example of a quasinorm. An operator which has a finite Schatten norm is called a Schatten class operator and the space of such operators is denoted by S_p(H_1,H_2). With this norm, S_p(H_1,H_2) is a Banach space, and a Hilbert space for ''p'' = 2. Observe that S_p(H_1,H_2) \subseteq \mathcal (H_1,H_2), the algebra of
compact operator In functional analysis, a branch of mathematics, a compact operator is a linear operator T: X \to Y, where X,Y are normed vector spaces, with the property that T maps bounded subsets of X to relatively compact subsets of Y (subsets with compact ...
s. This follows from the fact that if the sum is finite the spectrum will be finite or countable with the origin as limit point, and hence a compact operator (see compact operator on Hilbert space).


See also

Matrix norms


References

{{reflist * Rajendra Bhatia, Matrix analysis, Vol. 169. Springer Science & Business Media, 1997. * John Watrous, Theory of Quantum Information
2.3 Norms of operators
lecture notes, University of Waterloo, 2011. * Joachim Weidmann, Linear operators in Hilbert spaces, Vol. 20. Springer, New York, 1980. Operator theory