Compact Self-Adjoint Operators and the Spectral Theorem · seed 1 · A4, ink-friendly. The answer key prints on its own page for grown-ups.
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Spectra that shrink to zero

Mathematics · Calculus & Analysis · ages 23-24
Name ______________________   Date ____________
  1. Every eigenvalue of a bounded self-adjoint Hilbert-space operator is real.

    Circle one:   True   False

  2. A bounded operator T on a nonzero complex Hilbert space has ||T||<=3. Which scalar cannot be an eigenvalue of T?

    • -2
    • 0
    • 4
    • 3
  3. For the zero operator on a nonzero Hilbert space, every nonzero vector is an eigenvector with eigenvalue zero.

    Circle one:   True   False

  4. A diagonal matrix has diagonal entries 2 and 5. What is the larger eigenvalue?

    Answer: ______________

  5. For a compact self-adjoint Hilbert-space operator, every nonzero spectral value is an eigenvalue of finite multiplicity.

    Circle one:   True   False

  6. Suppose T has orthonormal eigenvectors e_n with Te_n=2e_n for every n. Why can T not be compact?

    • Its images remain distance 2sqrt(2) apart
    • Its bounded input sequence has no convergent subsequence, which alone contradicts compactness
    • Its eigenvalue is positive, which alone excludes compactness
    • Its eigenvectors have norm 1, which alone excludes compactness
  7. On complex l2, T(e_n)=(1/n)e_n for n>=1. How many eigenvalues, counted with multiplicity, are at least 1/4?

    Answer: ______________

  8. If distinct eigenvalues of a compact self-adjoint operator accumulate, where can their limit lie?

    • At any positive real number, with no size restriction
    • Only at zero
    • At any negative real number, with no size restriction
  9. Nina claims every bounded Hilbert-space operator has an orthonormal eigenbasis. Which response refutes her claim?

    • The bounded right shift has no nonzero eigenvectors
    • Every bounded operator has eigenvectors, although they need not span the space
    • Every bounded operator has an eigenbasis, although it need not be orthonormal
  10. For a bounded self-adjoint Hilbert-space operator, eigenvectors belonging to distinct eigenvalues are orthogonal, even if the operator is not compact.

    Circle one:   True   False

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Answer key

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Spectra that shrink to zero W1-mt_P_Jr9LWFQj-s1

  1. True · For Tx=lambda x with x nonzero, <Tx,x>=lambda||x||^2 is real. Hence lambda is real.
  2. 4 · Every eigenvalue satisfies |lambda|<=||T||<=3. The scalar 4 has magnitude 4, so it cannot be an eigenvalue. The bound alone does not settle the other choices.
  3. True · The zero operator satisfies Tx=0=0x for every x. Every nonzero x therefore meets the eigenvector definition.
  4. 5 · The coordinate vectors are eigenvectors with eigenvalues 2 and 5. The larger is 5.
  5. True · This is a conclusion of the compact self-adjoint spectral theorem. Zero requires separate treatment.
  6. Its images remain distance 2sqrt(2) apart · The unit inputs are bounded, but ||Te_n-Te_m||^2=4+4=8 for distinct indices. Their images have no convergent subsequence.
  7. 4 · The inequality 1/n>=1/4 holds exactly for n=1,2,3,4. These four eigenvalues each have multiplicity 1.
  8. Only at zero · Infinitely many eigenvalues bounded away from zero would give separated images of orthonormal eigenvectors, contradicting compactness.
  9. The bounded right shift has no nonzero eigenvectors · The right shift is bounded but has no eigenvectors. Compactness and self-adjointness are sufficient theorem hypotheses, not necessary for each diagonalizable operator.
  10. True · Self-adjointness and distinct real eigenvalues give (a-b)<u,v>=0. Compactness is not used in this calculation.
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