Hahn-Banach From Systems of Linear Equations

In summary: I see, and we this result too...In summary, the author mentions an example of an infinite system of linear equations in an infinite number of variables where the system has no solution but for which a truncation of the system down to an ##n \times n## system has a unique solution. The theorem that motivates the Hahn-Banach theorem is that it is necessary and sufficient that a continuity-type condition be satisfied.
  • #1
bolbteppa
309
41
In this paper on the history of functional analysis, the author mentions the following example of an infinite system of linear equations in an infinite number of variables ##c_i = A_{ij} x_j##:

\begin{align*}
\begin{array}{ccccccccc}
1 & = & x_1 & + & x_2 & + & x_3 & + & \dots \\
1 & = & & & x_2 & + & x_3 & + & \dots \\
1 & = & & & & & x_3 & + & \dots \\
& \vdots & & & & & & & \ddots
\end{array} \to \begin{bmatrix} 1 \\ 1 \\ 1 \\ \vdots \end{bmatrix} = \begin{bmatrix}
1 & 1 & 1 & \dots \\
& 1 & 1 & \dots \\
& & 1 & \dots \\
& & & \ddots
\end{bmatrix} \begin{bmatrix} x_1 \\ x_2 \\ x_3 \\ \vdots \end{bmatrix}
\end{align*}

as an example of a system such that any finite truncation of the system down to an ##n \times n## system has a unique solution ##x_1 = \dots = x_{n=1} = 0, x_n = 1## but for which the full system has no solution.

This book has the following passage on systems such as this one:

The Hahn-Banach theorem arose from attempts to solve infinite systems of linear equations... The key to the solvability is determining "compatibility" of the system of equations. For example, the system ##x + y = 2## and ##x + y = 4## cannot be solved because it requires contradictory things and so are "incompatible". The first attempts to determine compatibility for infinite systems of linear equations extended known determinant and row-reduction techniques. It was a classical analysis - almost solve the problem in a finite situation, then take a limit. A fatal defect of these approaches was the need for the (very rare) convergence of infinite products."​

and then mentions a theorem about these systems that motivates Hahn-Banach:

Theorem 7.10.1 shows that to solve a certain system of linear equations, it is necessary and sufficient that a continuity-type condition be satisfied.

Theorem 7.10.1 The Functional Problem Let ##X## be a normed space over ##\mathbb{F} = \mathbb{R}## or ##\mathbb{C}##, let ##\{x_s \ : \ s \in S \}## and ##\{ c_s \ : \ s \in S \}## be sets of vectors and scalars, respectively. Then there is a continuous linear functional ##f## on ##X## such
that ##f(x_s) = c_s## for each ##s \in S## iff there exists ##K > 0## such that
\begin{align*}
|\sum_{s \in S} a_s c_s | \leq K || \sum_{s \in S} a_s x_S || \ \ \ \ (1),
\end{align*}
for any choice of scalars ##\{a_s \ : \ s \in S \}## for which ##a_s = 0## for all but finitely many ##s \in S## ("almost all" the ##a_s = 0##).

Banach used the Hahn-Banach theorem to prove Theorem 7.10.1 but Theorem 7.10.1 implies the Hahn-Banach theorem: Assuming that Theorem 7.10.1 holds, let ##\{ x_s \}## be the vectors of a subspace ##M##, let ##f## be a continuous linear functional on ##M##; for each ##s \in S##, let ##c_s = f(x_s)##. Since ##f## is continuous, ##(1)## is satisfied and ##f## possesses a continuous extension to ##X##.​

My question is:

  1. If you knew none of the theorems just mentioned, how would one begin from the system ##c_i = A_{ij} x_j## at the beginning of this post and think of setting up the conditions of theorem 7.10.1 as a way to test whether this system has a solution?
  2. How does this test show the system has no solution?
  3. How do we re-formulate this process as though we were applying the Hahn-Banach theorem?
  4. Does anybody know of a reference for the classical analysis of systems in terms of infinite products?
 
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  • #2
bolbteppa said:
Does anybody know of a reference for the classical analysis of systems in terms of infinite products?
Since any product with one factor = 0 will have the value 0, the usual way is write the product as [itex]\prod_{n=1}^{\infty}(1+a_{n}) [/itex]. Then

A necessary and sufficient condition for the absolute convergence of the product [itex]\prod_{n=1}^{\infty}(1+a_{n}) [/itex] is the convergence of the series [itex] \sum_{n=1}^{\infty}\lvert a_{n}\rvert[/itex]
 
  • #3
Svein said:
A necessary and sufficient condition for the absolute convergence of the product [itex]\prod_{n=1}^{\infty}(1+a_{n}) [/itex] is the convergence of the series [itex] \sum_{n=1}^{\infty}\lvert a_{n}\rvert[/itex]
What does it mean that a product converges absolutely?
 
  • #4
Erland said:
What does it mean that a product converges absolutely?
Again, citing from Ahlfors:

An infinite product is ([itex]\prod_{1}^{\infty}(1+a_{n}) [/itex]) said to be absolutely convergent if and only if the corresponding series [itex] \sum_{n=1}^{\infty}\log(1+a_{n})[/itex] converges absolutely.
 
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  • #5
Svein said:
Again, citing from Ahlfors:

An infinite product is ([itex]\prod_{1}^{\infty}(1+a_{n}) [/itex]) said to be absolutely convergent if and only if the corresponding series [itex] \sum_{n=1}^{\infty}\log(1+a_{n})[/itex] converges absolutely.
I see, and we this result too , towards finding a holomorphic function with a prescribed sequence of zeros, right?
 
  • #6
WWGD said:
I see, and we this result too , towards finding a holomorphic function with a prescribed sequence of zeros, right?
Yes. Example: [itex]\prod_{n=1}^{\infty}(1+\frac{z}{n}) [/itex] has all negative integers for zeros.
 
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  • #7
Svein said:
Yes. Example: [itex]\prod_{n=1}^{\infty}(1+\frac{z}{n}) [/itex] has all negative integers for zeros.
And convergence of the product guarantees it is holomorphic, right?
 
  • #8
WWGD said:
And convergence of the product guarantees it is holomorphic, right?
Hm. Since [itex] \frac{1}{n}[/itex] diverges, we need something extra. One way is to introduce a converging factor: [itex]\prod_{n=1}^{\infty}(1+\frac{z}{n})e^{-\frac{z}{n}} [/itex] will converge. Another way is to extend the view a little: [itex]z\prod_{n\neq 0}(1+\frac{z}{n})e^{-\frac{z}{n}} [/itex]. Now all integers are zeros...

But the last product can be manipulated a bit. If we combine the elements for n and -n, we end up with the following product [itex]z\prod_{n=1}^{\infty}(1-\frac{z^{2}}{n^{2}}) [/itex] which converges (and, incidentally [itex]z\prod_{n=1}^{\infty}(1-\frac{z^{2}}{n^{2}})=\sin(\pi z) [/itex]).
 
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  • #9
Svein said:
Hm. Since [itex] \frac{1}{n}[/itex] diverges, we need something extra. One way is to introduce a converging factor: [itex]\prod_{n=1}^{\infty}(1+\frac{z}{n})e^{-\frac{z}{n}} [/itex] will converge. Another way is to extend the view a little: [itex]z\prod_{n\neq 0}(1+\frac{z}{n})e^{-\frac{z}{n}} [/itex]. Now all integers are zeros...

But the last product can be manipulated a bit. If we combine the elements for n and -n, we end up with the following product [itex]z\prod_{n=1}^{\infty}(1-\frac{z^{2}}{n^{2}}) [/itex] which converges (and, incidentally [itex]z\prod_{n=1}^{\infty}(1-\frac{z^{2}}{n^{2}})=\sin(\pi z) [/itex].

Ah, yes, I had forgotten about weighing factors. I think that does it. Thanks.
 
  • #10
Do references even exist that try to study systems like
\begin{align*}
\begin{array}{ccccccccc}
1 & = & x_1 & + & x_2 & + & x_3 & + & \dots \\
1 & = & & & x_2 & + & x_3 & + & \dots \\
1 & = & & & & & x_3 & + & \dots \\
& \vdots & & & & & & & \ddots
\end{array} \to \begin{bmatrix} 1 \\ 1 \\ 1 \\ \vdots \end{bmatrix} = \begin{bmatrix}
1 & 1 & 1 & \dots \\
& 1 & 1 & \dots \\
& & 1 & \dots \\
& & & \ddots
\end{bmatrix} \begin{bmatrix} x_1 \\ x_2 \\ x_3 \\ \vdots \end{bmatrix}
\end{align*}
like you were doing elementary linear algebra and slowly getting more theoretical?
 

1. What is the Hahn-Banach Theorem?

The Hahn-Banach Theorem is a fundamental result in functional analysis that guarantees the existence of a continuous linear functional on a normed vector space that extends a given functional on a subspace.

2. What is the significance of the Hahn-Banach Theorem?

The Hahn-Banach Theorem is significant because it allows for the extension of linear functionals to larger spaces, which is useful in many areas of mathematics and physics. It also has important applications in optimization and convex analysis.

3. How does the Hahn-Banach Theorem relate to systems of linear equations?

The Hahn-Banach Theorem can be used to prove the existence of solutions to systems of linear equations. By extending a given linear functional on a subspace to a larger space, the theorem guarantees the existence of a solution to the system of equations.

4. What are the conditions for the Hahn-Banach Theorem to hold?

The Hahn-Banach Theorem holds if the given subspace is a linear subspace of a normed vector space and the given functional is a linear functional on the subspace that satisfies certain continuity conditions.

5. Can the Hahn-Banach Theorem be applied to infinite-dimensional spaces?

Yes, the Hahn-Banach Theorem can be applied to infinite-dimensional spaces as well as finite-dimensional spaces. In fact, the theorem is often used in functional analysis, which deals with infinite-dimensional spaces.

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