= 5. A linear operator T: V → V is said to be nilpotent if Tk 0 for some positive integer k. Similarly, a square matrix A is said to be nilpotent if Ak = 0 for some positive integer k. (a) Let T: V→ V be a linear operator on a finite-dimensional complex inner product space V. Show that if T is normal and nilpotent, then T = 0. (Hint: spectral theorem for normal operators.) (b) Use (a) to show that if a square matrix A is normal and nilpotent, then A = 0. (Hint: apply (a) to T = LA: Cn Cn.)

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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5. A linear operator T: V → V is said to be nilpotent if Th 0 for some positive
integer k. Similarly, a square matrix A is said to be nilpotent if Ak = 0 for some
positive integer k.
=
(a) Let T: V → V be a linear operator on a finite-dimensional complex inner
product space V. Show that if T is normal and nilpotent, then T = 0. (Hint:
spectral theorem for normal operators.)
(b) Use (a) to show that if a square matrix A is normal and nilpotent, then A = 0.
(Hint: apply (a) to T = LA: Cn Cn.)
→
Transcribed Image Text:- 5. A linear operator T: V → V is said to be nilpotent if Th 0 for some positive integer k. Similarly, a square matrix A is said to be nilpotent if Ak = 0 for some positive integer k. = (a) Let T: V → V be a linear operator on a finite-dimensional complex inner product space V. Show that if T is normal and nilpotent, then T = 0. (Hint: spectral theorem for normal operators.) (b) Use (a) to show that if a square matrix A is normal and nilpotent, then A = 0. (Hint: apply (a) to T = LA: Cn Cn.) →
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