πŸ—οΈ Ξ˜ΟΟ΅Ξ·Ξ Ξ±Ο„Ο€πŸš§ (under construction)

Linear Functional
Suppose that V is a vector space over a field K∈{R,C}, then a linear functional is a linear operator f:Vβ†’K

Note that in the case of the reals or complex we have the norm as the absolute value. Also we say that a linear functional is real if F=R and say that it is complex if F=C

Bounded Linear Functional
We say that a linear functional f is bounded when it is a bounded linear operator

The above equates to saying that there exists some c∈R+ such that for all x∈dom(f),|f(x)|≀cβ€–xβ€–

Dual Space
Suppose that X is a normed vector space over a field F then we define the the dual space to be the set of all bounded linear functionals, denoted by X*
The Dual Space Is a Normed Vector Space
Given a vector space X then X* is a normed vector space using the operator norm.
The Dual Space Is a Banach Space
Given a vector space X then X* is a banach space

What's interesting is that the above holds whether or not X is a banach space.

The Dual Space of Rn Is Rn
The dual space of (R)n is isomorphic to Rn
The Dual of Lp Is Lq
The dual space of lp is lq where q∈(1,∞) and 1p+1q=1
The Dual Space of l1 Is l Infinity
As per title.
Hahn Banach
Let X be a real vector space, p a sublinear functional on 𝒳,β„³ a subspace of 𝒳, and f a linear functional on β„³ such that f(x)≀p(x) for all xβˆˆβ„³. Then there exists a linear functional F on 𝒳 such that F(x)≀p(x) for all xβˆˆπ’³ and Fβˆ£β„³=f.

5.6 The Hahn-Banach Theorem.
5.7 The Complex Hahn-Banach Theorem. Let 𝒳 be a complex vector space, p a seminorm on X,β„³ a subspace of 𝒳, and f a complex linear functional on β„³ such that |f(x)|≀p(x) for xβˆˆβ„³. Then there exists a complex linear functional F on X such that |F(x)|≀p(x) for all xβˆˆπ’³ and Fβˆ£β„³=f. Proof. Let u=Ref. By Theorem 5.6 there is a real linear extension U of u to X such that |U(x)|≀p(x) for all x∈X. Let F(x)=U(x)βˆ’iU(ix) as in Proposition 5.5. Then F is a complex linear extension of f, and as in the proof of Proposition 5.5, if Ξ±=sgnF(x)― we have |F(x)|=Ξ±F(x)=F(Ξ±x)=U(Ξ±x)≀p(Ξ±x)=p(x).
5.8 Theorem. Let x be a normed vector space. a. If β„³ is a closed subspace of XΛ™ and x∈XΛ™\β„³, there exists f∈X such that f(x)β‰ 0 and fβˆ£β„³=0. In fact, if Ξ΄=infyβˆˆβ„³β€–xβˆ’yβ€–.f can be taken to satisfy β€–fβ€–=1 and f(x)=Ξ΄. b. If xβ‰ 0∈X, there exists f∈X* such that β€–fβ€–=1 and f(x)=β€–xβ€–. c. The bounded linear functionals on X separate points. d. If x∈X, define x^:X+β†’β„‚ by x^(f)=f(x). Then the map x↦x^ is a linear isometry from X into X** (the dual of X* ). Proof. To prove (a), define f on β„³+β„‚x by f(y+Ξ»x)=λδ(yβˆˆβ„³,Ξ»βˆˆβ„‚). Then f(x)=Ξ΄,fβˆ£β„³=0, and for Ξ»β‰ 0,|f(y+Ξ»x)|=|Ξ»|δ≀|Ξ»|β€–Ξ»βˆ’1y+x||= β€–y+Ξ»xβ€–. Thus the Hahn-Banach theorem can be applied, with p(x)=β€–xβ€– and β„³ replaced by M+β„‚x. (b) is the spectal case of (a) with M={0}, and (c) follows immediately: if xβ‰ y, there exists f∈X+with f(xβˆ’y)β‰ 0, i.e., f(x)β‰ f(y). As for (d), obviously x^ is a linear functional on X* and the map x↦x^ is linear. Moroever, |x^(f)|=|f(x)|≀‖fβ€–β€–xβ€–, so β€–x^‖≀‖xβ€–. On the other hand, (b) implies that β€–2^β€–β‰₯β€–xβ€–. With notation as in Theorem 5.8d, let X^={x^:x∈X}. Since x* is always complete, the closure X^― of X^ in X** is a Banach space, and the map x↦x^ embeds x into XΒ― as a dense subspace. xΒ― is called the completion of X. In particular, if X is itself a Banach space then xΒ―=x^. If x is finite-dimensional, then of course x^=x**, since these spaces have the same dimension. For infinite-dimensional Banach spaces it may or may not happen that x^=xΒ·*; if it does, x is called reflexive. The examples of Banach spaces we have examined so far are not reflexive except in trivial cases where they turn out to be finite-dimensional. We shall prove some cases of this assertion and present examples of reflexive Banach spaces in later sections. Usually we shall identify x^ with x and thus regard x** as a superspace of x; reflexivity then means that x**=x
We already know (Background Information): (Folland)Theorem 5.8 - Let 𝒳 be a normed vector space. a.) If M is a closed subspace of 𝒳 and xβˆˆπ’³\M, there exists fβˆˆπ’³* such that f(x)β‰ 0 and f(M)={0}. In fact, if Ξ΄=infy∈Mβ€–xβˆ’yβ€–,f can be taken to satisfy β€–fβ€–=1 and f(x)=Ξ΄. Question: Let X be a normed vector space. a.) If M is a closed subspace and x∈X\M then M+β„‚x is closed. (Use Theorem 5.8a.)). b.) Every finite-dimensional subspace of X is closed. Proof a.) - Let M be a proper closed subspace of X and let x∈X\M. There exists f∈X* such that f(x)β‰ 0 and f(M)={0}. Let {un+anx}1∞ be a sequence in M+Kx that converges to y∈X. Then f(y)=f(limnβ†’βˆž(un+anx))=limnβ†’βˆžf(un+anx)=limnβ†’βˆžanf(x) since f is continuous, so {an}1∞ converges to a:=f(y)/f(x), which implies that {anx}1∞ converges to ax. Therefore {un}1∞={(un+anx)βˆ’anx}1βˆžβ†’(yβˆ’ax) which lies in M because M is closed. It follows that y∈M+Kx, which shows that M+Kx is closed. Proof b.) - Let Y be a finite dimensional subspace of X. Let {e1,…,en} be a basis of Y. Now, note that M={0} is a closed subspace of X. So, by item a.), M+Ce1 is a closed subspace of X. Again, by item a.) we have that M+β„‚e1+Cee2 is a closed subspace of X. Repeating the argument enough times, we have that M+Cee1+…+β„‚en is a closed subspace of X. But M+Cee1+…+β„‚en=Y. So we have proved that Y is a closed subspace of X.