Finite Rank Operator
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In
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 branch of mathematics, a finite-rank operator is a
bounded linear operator In functional analysis and operator theory, a bounded linear operator is a linear transformation L : X \to Y between topological vector spaces (TVSs) X and Y that maps bounded subsets of X to bounded subsets of Y. If X and Y are normed vector ...
between
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 whose
range Range may refer to: Geography * Range (geographic), a chain of hills or mountains; a somewhat linear, complex mountainous or hilly area (cordillera, sierra) ** Mountain range, a group of mountains bordered by lowlands * Range, a term used to i ...
is finite-dimensional.


Finite-rank operators on a Hilbert space


A canonical form

Finite-rank operators are matrices (of finite size) transplanted to the infinite dimensional setting. As such, these operators may be described via linear algebra techniques. From linear algebra, we know that a rectangular matrix, with complex entries, M \in \mathbb^ has rank 1 if and only if M is of the form :M = \alpha \cdot u v^*, \quad \mbox \quad \, u \, = \, v\, = 1 \quad \mbox \quad \alpha \geq 0 . The same argument and Riesz' lemma show that an operator T on a Hilbert space H is of rank 1 if and only if :T h = \alpha \langle h, v\rangle u \quad \mbox \quad h \in H , where the conditions on \alpha, u, v are the same as in the finite dimensional case. Therefore, by induction, an operator T of finite rank n takes the form :T h = \sum _ ^n \alpha_i \langle h, v_i\rangle u_i \quad \mbox \quad h \in H , where \ and \ are orthonormal bases. Notice this is essentially a restatement of
singular value decomposition In linear algebra, the singular value decomposition (SVD) is a Matrix decomposition, factorization of a real number, real or complex number, complex matrix (mathematics), matrix into a rotation, followed by a rescaling followed by another rota ...
. This can be said to be a ''canonical form'' of finite-rank operators. Generalizing slightly, if n is now countably infinite and the sequence of positive numbers \ accumulate only at 0, T is then a
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 ...
, and one has the canonical form for compact operators. Compact operators are
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 ...
only if the series \sum _i \alpha _i is convergent; a property that automatically holds for all finite-rank operators.


Algebraic property

The family of finite-rank operators F(H) on a Hilbert space H form a two-sided *-ideal in L(H), the algebra of bounded operators on H. In fact it is the minimal element among such ideals, that is, any two-sided *-ideal I in L(H) must contain the finite-rank operators. This is not hard to prove. Take a non-zero operator T\in I, then Tf = g for some f, g \neq 0. It suffices to have that for any h, k\in H, the rank-1 operator S_ that maps h to k lies in I. Define S_ to be the rank-1 operator that maps h to f, and S_ analogously. Then :S_ = S_ T S_, \, which means S_ is in I and this verifies the claim. Some examples of two-sided *-ideals in L(H) are the
trace-class In mathematics, specifically functional analysis, a trace-class operator is a linear operator for which a Trace (linear algebra), trace may be defined, such that the trace is a finite number independent of the choice of basis used to compute the t ...
,
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\, ^ ...
s, and
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. F(H) is dense in all three of these ideals, in their respective norms. Since any two-sided ideal in L(H) must contain F(H), the algebra L(H) is
simple Simple or SIMPLE may refer to: *Simplicity, the state or quality of being simple Arts and entertainment * ''Simple'' (album), by Andy Yorke, 2008, and its title track * "Simple" (Florida Georgia Line song), 2018 * "Simple", a song by John ...
if and only if it is finite dimensional.


Finite-rank operators on a Banach space

A finite-rank operator T:U\to V between
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 is a
bounded operator In functional analysis and operator theory, a bounded linear operator is a linear transformation L : X \to Y between topological vector spaces (TVSs) X and Y that maps bounded subsets of X to bounded subsets of Y. If X and Y are normed vector ...
such that its
range Range may refer to: Geography * Range (geographic), a chain of hills or mountains; a somewhat linear, complex mountainous or hilly area (cordillera, sierra) ** Mountain range, a group of mountains bordered by lowlands * Range, a term used to i ...
is finite dimensional. Just as in the Hilbert space case, it can be written in the form :T h = \sum _ ^n \langle u_i, h\rangle v_i \quad \mbox \quad h \in U , where now v_i\in V, and u_i\in U' are bounded linear functionals on the space U. A bounded linear functional is a particular case of a finite-rank operator, namely of rank one.


References

{{DEFAULTSORT:Finite Rank Operator Operator theory