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Orthogonal error restrictions determine syndrome projections
Statement
Let be finite-dimensional complex inner-product spaces, and let be finitely many isometries with pairwise orthogonal ranges. Then are pairwise orthogonal projections, their sum is an orthogonal projection satisfying , and is the orthogonal projection onto the residual complement. The empty family is allowed, with and .
Facts & Assumptions
Given: Finite-dimensional complex inner-product spaces and a finite family of isometries with pairwise orthogonal ranges.
An endomorphism is an orthogonal projection exactly when it is idempotent and self-adjoint: a self-adjoint idempotent on a finite-dimensional inner-product space is an orthogonal projection.
The orthogonal projection is the -component in : an orthogonal projection selects the component in its range along the orthogonal complement.
Adjoints satisfy , , , and : and for compatible finite-dimensional maps.
Non-negative and positive operators: means is self-adjoint and for every .
Real and complex inner product spaces, with the inner product linear in the first argument: and the inner product is positive definite.
An isometric quantum encoding gives an orthogonal code projector: every finite-dimensional linear isometry satisfies .
The adjoint is characterised by and Every linear map between finite-dimensional inner product spaces has a unique adjoint: adjoints exist and satisfy .
Proof
By [F7, F8], each has an adjoint and . For each , [F4] gives , and by [F7]. The image of is contained in , while for every ; hence its image equals . By [F2], is the orthogonal projection onto that range.
If , orthogonality of the ranges gives for all by [F8]. Taking shows by [F6]. Hence . Thus and ; [F2] makes an orthogonal projection. The same calculation gives , so [F2] makes an orthogonal projection.
Each fixes its own range and kills the other ranges, so is exactly the orthogonal sum of the . Since is an orthogonal projection, its range is , the orthogonal complement of the range of by [F3]. For every , and , so [F5] gives . For the empty family the sums give directly.
Depends on
- The adjoint $T^*:W\to V$ is characterised by $\langle Tv,w\rangle_W=\langle v,T^*w\rangle_V$
- Real and complex inner product spaces, with the inner product linear in the first argument
- Non-negative and positive operators
- The orthogonal projection $P_Wv$ is the $W$-component in $V=W\oplus W^\perp$
- Adjoints satisfy $(S+T)^*=S^*+T^*$, $(\lambda T)^*=\overline\lambda T^*$, $(ST)^*=T^*S^*$, and $T^{**}=T$
- Every linear map between finite-dimensional inner product spaces has a unique adjoint
- An isometric quantum encoding gives an orthogonal code projector
- An endomorphism is an orthogonal projection exactly when it is idempotent and self-adjoint
Used by
Dependency tree · two levels
22 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John Preskill, Quantum Information, Chapter 7: Quantum Error Correction (working draft, March 2026) (standard reference, not scraped)
- David W. Kribs, Raymond Laflamme, David Poulin, and Maia Lesosky, Operator Quantum Error Correction (standard reference, not scraped)