Help Stuck in proof of Riesz Representation Theorem

In summary, the conversation discusses a proof in R.Bartle's book where the aim is to prove continuity of a function g. There appears to be a mistake in the proof and the speaker provides a fix for it. The fix uses an argument involving a linear, bounded and positive functional G on the set of continuous functions, and the Hahn Extension Theorem. The conversation also mentions the importance of n being large enough to satisfy certain conditions.
  • #1
Tommy Jensen
2
0
I am lecturing out of R.Bartle, The Elements of Integration and Lebesgue Measure, for the first time. In the most recent lecture I got stuck not being able to argue an inequality on page 107. I cannot post the text here, sorry. But if anyone has the book, can you also explain how to derive the inequality in line 6:

g(t + n[itex]^{-2}[/itex]) [itex]\leq[/itex] g(t) + 2[itex]\epsilon[/itex] ?

The inequality G([itex]\psi[/itex][itex]_{n}[/itex]) [itex]\leq[/itex] g(t) + 2[itex]\epsilon[/itex] from the previous line does not seem to help much, since
G([itex]\psi[/itex][itex]_{n}[/itex]) [itex]\leq[/itex] G([itex]\varphi[/itex][itex]_{t + n^{-2}, n}[/itex])
follows from G being positive, and this is the opposite inequality of the desired.
Or what am I missing here? Thanks for any enlightenment!

Kind regards, Tommy
 
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  • #2
g(t + n−2) ≤ g(t) + 2ϵ

This looks like a result of g being continuous. Since I don't have the book, I can't comment on the rest.
 
  • #3
Thanks for the reply!

Actually, in the part of the proof which I am asking about, the aim is the prove that the function g is continuous.

There appears to be a mistake in the proof though. So for those who do have the book, here is a fix for later reference.

Recall that J = [a,b] and C(J) is the set of real-valued continuous functions on J. A linear, bounded and positive functional G on C(J) is assumed given. Fix any t [itex]\in[/itex] [a,b) and a sufficiently large integer n. Let [itex]\varphi[/itex][itex]_{t,n}[/itex] be the function that maps x to 1 if a ≤ x ≤ t, maps x to 0 if t+[itex]\frac{1}{n}[/itex] ≤ x ≤ b, and maps x to 1 - n(x-t) if t < x < t+[itex]\frac{1}{n}[/itex]. Then [itex]\varphi[/itex][itex]_{t,n}[/itex] [itex]\in[/itex] C(J), and G([itex]\varphi[/itex][itex]_{t,n}[/itex]) is non-negative and non-increasing as a function of n.

Let g(t) = lim[itex]_{n → ∞}[/itex] G([itex]\varphi[/itex][itex]_{t,n}[/itex]). Let g(s)=0 if s < a, and g(s)=G(1) if s ≥ b. Then g is monotone increasing. The aim is to show that g is everywhere continuous from the right, then to extend the Borel-Stieltjes measure generated by g to a measure defined on the Borel algebra, using the Hahn Extension Theorem.

I cannot make the proof in the book work to prove continuity of g from the right. But the fix is easier than in the suggested proof.

Let ε > 0 and assume that n is large enough to satisfy n > 2, n > [itex]\frac{1}{ε}[/itex]||G||, and g(t) ≤ G([itex]\varphi[/itex][itex]_{t,n}[/itex]) ≤ g(t) + ε.
Then ||[itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},n}[/itex] - [itex]\varphi[/itex][itex]_{t,n}[/itex]|| = [itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},n}(t+\frac{1}{n})[/itex] = [itex]\frac{1}{n}[/itex] implies ||G|| ≥ |G(n([itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},n}[/itex] - [itex]\varphi[/itex][itex]_{t,n}[/itex]))| = n(G([itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},n}[/itex]) - G([itex]\varphi[/itex][itex]_{t,n}[/itex])), hence
G([itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},n}[/itex]) ≤ G([itex]\varphi[/itex][itex]_{t,n}[/itex]) + [itex]\frac{1}{n}[/itex]||G|| ≤ g(t) + 2ε.
The right continuity of g at t follows by noting that
g(t) ≤ g(t+[itex]\frac{1}{n^2}[/itex]) = lim[itex]_{k → ∞}[/itex] G([itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},k}[/itex]) ≤ G([itex]\varphi[/itex][itex]_{t+\frac{1}{n^2},n}[/itex]) ≤ g(t) + 2ε.
 

FAQ: Help Stuck in proof of Riesz Representation Theorem

What is the Riesz Representation Theorem?

The Riesz Representation Theorem is a fundamental theorem in functional analysis that establishes a one-to-one correspondence between continuous linear functionals and elements of a Hilbert space. Essentially, it states that every continuous linear functional on a Hilbert space can be represented as an inner product with a unique element in the space.

How does the Riesz Representation Theorem work?

The Riesz Representation Theorem works by defining a map between the continuous linear functionals and elements of the Hilbert space. This map is called the Riesz map and it is defined as the inner product with a fixed element in the space. The theorem then proves that this map is a bijective map, meaning it is both injective (one-to-one) and surjective (onto), establishing the one-to-one correspondence between the two sets.

Why is the Riesz Representation Theorem important?

The Riesz Representation Theorem is important because it provides a powerful tool for studying and analyzing Hilbert spaces. It allows us to represent continuous linear functionals in terms of elements in the space, making it easier to work with and understand these functionals. Additionally, the theorem has many important applications in mathematics, physics, and engineering.

What are the key assumptions of the Riesz Representation Theorem?

The Riesz Representation Theorem requires the underlying space to be a Hilbert space, which is a complete inner product space. Additionally, the theorem assumes that the continuous linear functional is bounded.

Are there any generalizations of the Riesz Representation Theorem?

Yes, there are several generalizations of the Riesz Representation Theorem, such as the Borel-Weil-Bott Theorem, which extends the theorem to complex vector spaces, and the Radon-Nikodym Theorem, which extends the theorem to measure spaces. These generalizations have important applications in various areas of mathematics and physics.

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