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Operators on Infinite Dimensional Vector Spaces Exercises 1
- Authors
- Name
- Malachy Reynolds
- @MalachyReynolds
Exercises 1
Exercise 1.1: Prove Theorem 1.4.
Exercise 1.2: Prove Theorem 1.5.
Exercise 1.3: Prove Theorem 1.7.
Exercise 1.4: Fill in the details of the assertions in Section 1.2.
Exercise 1.5: Fill in the details of the assertions in Example 1.20.
Exercise 1.6: Let be a bounded sesquilinear form in . Using the Riesz representation theorem, prove that there exists a unique bounded linear operator such that for all . Prove furthermore that the constant in 1.3 is equal to .
Exercise 1.7: Prove that a bounded linear operator in is uniquely determined by its quadratic form, i.e. the map . Hint: derive a version of the polarization identity.
Exercise 1.8: Using the principle of uniform boundedness, prove that if strongly, then . Repeat this for weak convergence.
Exercise 1.9: Prove that if strongly then . Give an example where is false.
Exercise 1.10: Let be a Banach space and let be a sequence of bounded linear operators such that for all , the limit exists in the norm of . Using the principle of uniform boundedness, prove that there exists a bounded operator such that strongly as .
Exercise 1.11: Show that the range of the operator ,
is not closed.
Exercise 1.12:
- Let and strongly. Prove that strongly.
- Let and weakly. Give an example where the weak convergence does not hold.
Exercise 1.13: For , let (i.e. for each , is a sequence ). Let be the operator of multiplication by in (see Example 1.14). Give a necessary and sufficient condition (in terms of the squence ) for strong convergence .
Exercise 1.14: For , let and let be the operator of multiplication by , see Example 1.15. Give a necessary and sufficient condition for uniform convergence in terms of . Give a sufficient condition (in terms of the sequence ) for strong convergence .