Metric and Hilbert Spaces

Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au

Last updated: 4 November 2014

Lecture 30: Examples of linear operators

Let V and W be normed vector spaces over 𝔽, where 𝔽=ℝ or 𝔽=ℂ.

A bounded linear operator from V to W is a linear operator T:V→W such that there exists C∈ℝ>0 such that if u∈V then ‖Tu‖≤C‖u‖.

The norm of T is the minimal C that works.

Let V be a normed vector space and let 1: V ⟶ V x ⟼ x and 0: V ⟶ V x ⟼ 0 . Then ‖1‖=1 and ‖0‖=0.

Let V=ℝn or V=ℂn and let T:V→W be a linear operator. Then the function Φ: V ⟶ ℝ≥0 x ⟼ ‖Tx‖ is continuous (Really? Why?). Let Sn-1= {x∈V | ‖x‖=1}. Since Sn-1 is closed and bounded, Sn-1 is compact. Since Φ is continuous, Φ(Sn-1) is compact. So {‖Tx‖ | ‖x‖=1} is closed and bounded in ℝ≥0. So ‖T‖=sup(Φ(Sn-1)).

Let C[0,1]={f:[0,1]→ℝ | f is continuous}, with norm given by ‖f‖=∫01 ∣f(t)∣dt. Let T:C[0,1]→ℝ be given by Tf=ev0(f)=f(0). Let f1,f2,… be the sequence in C[0,1] given by fn(t)= { -n2t+n, for t∈[0,1n], 0, for t∈[1n,1]. 1 n 1 t n y Then ‖fn‖= n(1n)2=12 (the area under y=fn(t)), and limn→∞Tfn=∞ in ℝ≥0∪{∞} since Tf1=1, Tf2=2, Tf3=3,… So there does not exist C∈ℝ≥0 such that if f∈C[0,1] then ‖Tf‖≤C‖f‖.

Let λ1,λ2,… be a bounded sequence in ℝ. Define T:ℓ∞→ℓ∞ by T(a1,a2,…)= (λ1a1,λ2a2,…). The norm on ℓ∞ is ‖(a1,a2,…)‖= sup{|a1|,∣a2∣,…}. A basis of ℓ∞ is {e1,e2,e3,…} where ei= ( 0,0,…,0, 1ith spot,0,0,… ) . Then Tei= (0,…,0,λi,0,0,…) and‖Tei‖= ∣λi∣=∣λi∣ ‖ei‖. So ‖T‖≥sup {∣λ1∣,∣λ2∣,…}. Let x=(x1,x2,…) in ℓ∞. Then ‖Tx‖ = ‖(λ1x1,λ2x2,…)‖ = sup { ∣λ1∣ ∣x1∣, ∣λ2∣ ∣x2∣,… } ≤ sup { ∣λ1∣, ∣λ2∣,… } · sup { ∣x1∣, ∣x2∣,… } = C‖x‖ where C=sup{∣λ1∣,∣λ2∣,…}. So ‖T‖≤C. So ‖T‖=sup { ∣λ1∣, ∣λ2∣,… } .

Let C[a,b]={f:[a,b]→ℝ | f is continuous} with the sup norm ‖f‖=sup {∣f(t)∣ | t∈[a,b]}. Let T:C[a,b]→ℝ be given by Tf=∫abf(t)dt. If X:[a,b]→ℝ is the function given by x(t)=1 then Tx=∫abdt=b-a and‖Tx‖= (b-a)=(b-a) ‖x‖ since ‖x‖=1. So ‖T‖≥b-a. If f∈C[a,b] then ‖Tf‖= ∣∫abf(t)dt∣≤ ∫ab∣f(t)∣ dt≤‖f‖(b-a). So ‖T‖≤b-a. Thus ‖T‖=b-a.

Integral operators. Let C[a,b]= {f:[a,b]→ℂ | f is continuous} with norm given by ‖f‖=sup {∣f(t)∣ | t∈[a,b]}. Let K:[a,b]×[a,b]→ℂ be a continuous function. Define T:C[a,b]→C[a,b] by (Tf)(t)=∫ab K(t,s)f(s)ds (generalised matrix multiplication!).

To show:
(a) If f∈C[a,b] then Tf∈C[a,b].
(b) T is a bounded linear operator.
(a) Assume f∈C[a,b].
To show: Tf is continuous.
In fact we will show: Tf is uniformly continuous.
To show: If ε∈ℝ>0 then there exists δ∈ℝ>0 such that if t,t′∈[a,b] and ∣t-t′∣<δ then ∣Tf(t)-Tf(t′)∣<ε. Assume ε∈ℝ>0.
Since [a,b]×[a,b] is compact and K is continuous then K is uniformly continuous.
Let δ∈ℝ>0 be such that if s,s′,t,t′∈[a,b] and d((s,t),(s′,t′))<δ then (K(s,t)-K(s′,t′))<ε(b-a)‖f‖.
To show: If t,t′∈[a,b] and ∣t-t′∣<δ then ∣Tf(t)-Tf(t′)∣<ε.
Assume t,t′∈[a,b] and ∣t-t′∣<δ.
To show: ∣Tf(t)-Tf(t′)∣<ε. ∣Tf(t)-Tf(t′)∣ = ∣ ∫ab(K(s,t)-K(s,t′)) f(s)ds ∣ ≤ ∫ab∣K(s,t)-K(s,t′)∣ ·∣f(s)∣ds < ε(b-a)‖f‖ ·(b-a)‖f‖ = ε. So Tf is uniformly continuous.
So Tf is continuous and so Tf∈C[a,b].
(b) To show: T is a bounded linear operator.
To show: There exists C∈ℝ>0 such that if f∈C[a,b] then ‖Tf‖≤C‖f‖.
Since [a,b]×[a,b] is compact and K is continuous K([a,b]×[a,b]) is compact and K([a,b]×[a,b]) is bounded.
Let C=sup({∣K(s,t)∣ | s,t∈[a,b]}). To show: If f∈C[a,b] then ‖Tf‖≤C||f|.
Assume f∈C[a,b].
Then ∣Tf(t)∣≤ ∫ab ∣K(s,t)∣· ∣f(s)∣ds≤ (b-a)C‖f‖. So ‖Tf‖=sup {∣Tf(t)∣ | t∈a,b} ≤(b-a)C‖f‖. So ‖T‖≤(b-a)C.
So ‖T‖ is bounded.

Notes and References

These are a typed copy of Lecture 30 from a series of handwritten lecture notes for the class Metric and Hilbert Spaces given on September 17, 2014.

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