The closed unit ball of a Hilbert space is compact in norm exactly when the space is finite-dimensional. Finite-dimensional compactness follows from the Heine-Borel theorem. In infinite dimension, an orthonormal sequence has pairwise distance and no convergent subsequence. Restricting a compact operator that equals a nonzero multiple of the identity on a subspace therefore forces that subspace to be finite-dimensional.
If is a finite-dimensional Hilbert space, a choice of orthonormal basis identifies its closed unit ball with a closed bounded ball in a finite-dimensional Euclidean space. The Heine-Borel theorem makes it compact in the norm topology.
Conversely, if is infinite-dimensional, choose a unit vector and inductively choose orthogonal to the span of . The finite span is a proper closed subspace, so its orthogonal complement contains a nonzero vector that can be normalized. The resulting orthonormal sequence lies in the closed unit ball and satisfies
It has no norm-convergent subsequence. Sequential compactness is equivalent to compactness in a metric space, hence the closed ball is not compact. This proves the norm-compact unit ball criterion: a Hilbert space has a norm-compact closed unit ball exactly when it is finite-dimensional.
Use the corrected essential spectrum of a bounded self-adjoint operator and put . Essential spectral points are real. If is infinite-dimensional, choose an orthonormal sequence in the kernel. It converges weakly to zero by the Bessel inequality, and its residuals vanish.
If is finite-dimensional, membership in the essential spectrum means the range is not closed. Choose unit with , using the closed-range bound on the kernel complement. A bounded Hilbert space sequence has a weakly convergent subsequence. Its weak limit satisfies because bounded operators preserve weak convergence, and ; hence . This subsequence is a singular Weyl sequence.
Conversely a singular Weyl sequence first places in the spectrum of a bounded operator. If it were not essential, the sequential properness for a self-adjoint operator equivalence for would yield a norm-convergent subsequence. Its weak limit is zero, whereas norm convergence of unit vectors gives a unit norm limit, a contradiction. Therefore
For nonreal , the resolvent lower bound excludes such a sequence, so the equivalence covers all .
Throughout this question the Banach spaces and Hilbert spaces are complex. Separability is an additional standing hypothesis, not part of the general definition of a Hilbert space. Here and below unit ball means the closed unit ball. An open unit ball in positive finite dimension is not compact. In finite dimension, equivalence of norms identifies the closed unit ball with a closed bounded subset of Euclidean space, so the Heine-Borel theorem gives compactness in the norm topology.
In an infinite-dimensional Hilbert space, the Gram-Schmidt process constructs an infinite orthonormal sequence . Put . Then and, for , . No subsequence is a Cauchy sequence, contradicting sequential compactness. Thus the closed unit ball is norm compact exactly in finite dimension.
For the subsequent essential spectrum arguments, the discrete-spectrum definition must use closed, rather than the printed unshifted range. With that correction, means exactly that is finite-dimensional and is closed; this includes the case is in the resolvent set.
A closed-range bound on the kernel complement supplies the useful equivalence
For the forward implication, is a bounded bijection between Banach spaces, so the bounded inverse theorem applies. For the reverse implication, any Cauchy sequence of image points has a Cauchy sequence of preimages in , and completeness gives a preimage of its limit.
Now decompose a bounded sequence as with , . If converges, the lower bound makes a Cauchy sequence. The finite-dimensional vector space makes the bounded have a convergent subsequence. Their sum has a norm-convergent subsequence.
Conversely, if every bounded sequence with convergent images has a norm-convergent subsequence, the kernel cannot be infinite-dimensional: an orthonormal sequence in it would have zero images and no convergent subsequence. If the range were not closed, the lower-bound equivalence would provide unit vectors with . Any norm limit would lie in both and , hence be zero, contradicting its unit norm. This proves the required sequential properness for a self-adjoint operator equivalence.
The spectral-shift repair is essential for later parts. On , take . Its range is not closed, but is an isolated eigenvalue with one-dimensional eigenspace and closed shifted range. The printed definition would incorrectly place in the essential spectrum, although no singular Weyl sequence exists there: on the complement of that eigenspace, .
Normalize the mutually orthogonal eigenvectors so that is an orthonormal sequence. If did not tend to zero, some subsequence would satisfy . For distinct indices in this subsequence, orthogonality gives
Thus would have no Cauchy subsequence, contradicting compactness of . Therefore the orthogonal eigenvectors of a compact operator satisfy
No. Take the Hilbert space and its standard orthonormal sequence . Let
the unit sphere. This set is norm closed but is not convex. By the Bessel inequality, for every ,
so ; equivalently, this is a weakly null orthonormal sequence. Every lies in , but the weak limit does not. Hence convexity is essential.
Singular Weyl sequence 2026-10-06
A singular Weyl sequence for a bounded self-adjoint operator at is a spectral Weyl sequence that also converges weakly to zero. Such a sequence exists exactly when is in the essential spectrum of a bounded self-adjoint operator. An infinite-dimensional shifted kernel gives a weakly null orthonormal sequence. If that kernel is finite-dimensional but the shifted range is not closed, choose approximate null vectors in the kernel complement and extract a weakly convergent subsequence; its limit belongs to both kernel and complement, so is zero.
Weakly null orthonormal sequence Created 2026-09-24 Updated 2026-09-24
Every orthonormal sequence in a Hilbert space converges weakly to zero, by Bessel inequality, but no subsequence converges strongly because distinct terms remain distance apart.