Compression (functional analysis)

In functional analysis, the compression of a linear operator T on a Hilbert space to a subspace K is the operator

${\displaystyle P_{K}T{|}_K:K\to K}$,

where ${\displaystyle P_K:H\to K}$ is the orthogonal projection onto K. This is a natural way to obtain an operator on K from an operator on the whole Hilbert space. If K is an invariant subspace for T, then the compression of T to K is the restricted operator K→K sending k to Tk.

More generally, for a linear operator T on a Hilbert space ${\displaystyle H}$ and an isometry V on a subspace ${\displaystyle W}$ of ${\displaystyle H}$, define the compression of T to ${\displaystyle W}$ by

${\displaystyle T_W=V^{\ast }TV:W\to W}$,

where ${\displaystyle V^{\ast }}$ is the adjoint of V. If T is a self-adjoint operator, then the compression ${\displaystyle T_W}$ is also self-adjoint. When V is replaced by the inclusion map ${\displaystyle I:W\to H}$, ${\displaystyle V^{\ast }=I^{\ast }=P_K:H\to W}$, and we acquire the special definition above.

See also

• Dilation

References

• P. Halmos, A Hilbert Space Problem Book, Second Edition, Springer-Verlag, 1982.

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