TheoremBase

Sketch: fix one enumeration of a countable dense set, extend f one point at a time by the canonical one-step extension through a recursion on ℕ, take the union, and extend the resulting Lipschitz functional from the dense subspace to X; linearity and domination pass to the limit by epsilon arguments.

Proof

We extend ff step by step along a dense sequence and then pass to XX by continuity. One enumeration of a dense set is fixed and every step is canonical, so no choice is used.

A dense sequence. Since XX is separable (Separable Metric Space and Separable Real Normed Space (ii), Separable Metric Space and Separable Real Normed Space (i)), we fix a countable set D⊆XD\subseteq X that is dense in (X,dX)(X,d_{X}). It is nonempty, because by Dense Subset of a Metric Space (i) the ball B(0X,1)B(0_{X},1) meets DD. So by Countable Set (i) we may fix a surjective function e:N→De:\mathbb{N}\to D.

Extending along the sequence. Let A\mathcal{A} be the set of pairs (W,g)(W,g) such that WW is a linear subspace of XX containing MM and gg is a linear functional on WW with g=fg=f on MM and g≤pg\le p on WW (a set, being a subset of P(X)×P(X×R)\mathcal{P}(X)\times\mathcal{P}(X\times\mathbb{R})). The pair (M,f)(M,f) lies in A\mathcal{A}. Define Φ:N×A→A\Phi:\mathbb{N}\times\mathcal{A}\to\mathcal{A} by

Φ(k,(W,g))={(W,g)if e(k)∈W,(W+Re(k),g~)if e(k)∉W,\Phi\bigl(k,(W,g)\bigr)=\begin{cases}(W,g)&\text{if }e(k)\in W,\\ (W+\mathbb{R}e(k),\tilde g)&\text{if }e(k)\notin W,\end{cases}

where, in the second case, g~\tilde g is the function on W+Re(k)W+\mathbb{R}e(k) given by One-Step Extension of a Dominated Linear Functional (iv) for the subspace WW, the point x0=e(k)x_{0}=e(k) and the functional gg, built with the supremum cc of One-Step Extension of a Dominated Linear Functional (iii). By One-Step Extension of a Dominated Linear Functional (i) and One-Step Extension of a Dominated Linear Functional (iv), W+Re(k)W+\mathbb{R}e(k) is a linear subspace containing WW, hence MM, and g~\tilde g is a linear functional on it that agrees with gg on WW, hence with ff on MM, and is dominated by pp; so the value lies in A\mathcal{A} (and Φ\Phi, given explicitly, is a function).

By Recursion on the Natural Numbers Starting at One (i), applied with the set A\mathcal{A}, the starting value (M,f)(M,f) and the step Φ\Phi, there is a function k↦(Wk,gk)k\mapsto(W_{k},g_{k}) on N\mathbb{N} with

(W1,g1)=(M,f),(Wk+1,gk+1)=Φ(k,(Wk,gk))(k∈N).(W_{1},g_{1})=(M,f),\qquad (W_{k+1},g_{k+1})=\Phi\bigl(k,(W_{k},g_{k})\bigr)\quad(k\in\mathbb{N}).

In both cases of the definition of Φ\Phi we have Wk⊆Wk+1W_{k}\subseteq W_{k+1}, gk+1=gkg_{k+1}=g_{k} on WkW_{k} and e(k)∈Wk+1e(k)\in W_{k+1} (in the second case by One-Step Extension of a Dominated Linear Functional (i) and One-Step Extension of a Dominated Linear Functional (iv)). By induction on kk (Induction for Predicative Formulas, and the Order of ℕ below 1 and below n+1 (i)), Wj⊆WkW_{j}\subseteq W_{k} and gk=gjg_{k}=g_{j} on WjW_{j} whenever j≤kj\le k.

The union. Let M∞=⋃k∈NWkM_{\infty}=\bigcup_{k\in\mathbb{N}}W_{k}, and for x∈M∞x\in M_{\infty} let f∞(x)=gk(x)f_{\infty}(x)=g_{k}(x) for any kk with x∈Wkx\in W_{k}; by the nesting this does not depend on kk (so f∞f_{\infty} is the union of the graphs of the gkg_{k}). Any two points of M∞M_{\infty} lie in a common WkW_{k}, so M∞M_{\infty} is a linear subspace of XX (Linear Subspace of a Real Vector Space (iv)), and f∞f_{\infty} is a linear functional on M∞M_{\infty} with f∞=ff_{\infty}=f on MM and f∞≤pf_{\infty}\le p on M∞M_{\infty}. Since ee is surjective and e(k)∈Wk+1e(k)\in W_{k+1} for every kk, we have D⊆M∞D\subseteq M_{\infty}; hence M∞M_{\infty} is dense in (X,dX)(X,d_{X}) by Dense Subset of a Metric Space (i).

Extension to XX. By Elementary Properties of Sublinear Functionals (vi), applied to the subspace M∞M_{\infty} and the functional f∞f_{\infty}, we have ∣f∞(x)∣≤C∥x∥|f_{\infty}(x)|\le C\lVert x\rVert for x∈M∞x\in M_{\infty}. With Linear Functional on a Linear Subspace (i) and Linear Functional on a Linear Subspace (ii) this gives, for x,y∈M∞x,y\in M_{\infty},

∣f∞(x)−f∞(y)∣=∣f∞(x−y)∣≤C∥x−y∥=C dX(x,y)|f_{\infty}(x)-f_{\infty}(y)|=|f_{\infty}(x-y)|\le C\lVert x-y\rVert=C\,d_{X}(x,y)

(The Norm Metric of a Real Normed Space (i)). So Lipschitz Extension of a Real Function from a Subset of a Metric Space (i), applied in (X,dX)(X,d_{X}) to the subset M∞M_{\infty} (nonempty, as 0X∈M0_{X}\in M), the function f∞f_{\infty} and L=CL=C, yields a function F:X→RF:X\to\mathbb{R} with F=f∞F=f_{\infty} on M∞M_{\infty} and

∣F(x)−F(y)∣≤C∥x−y∥for all x,y∈X.|F(x)-F(y)|\le C\lVert x-y\rVert\qquad\text{for all }x,y\in X.

FF is linear. Let x,y∈Xx,y\in X and λ∈R\lambda\in\mathbb{R}, and let ε>0\varepsilon>0. Once ε\varepsilon is fixed, the density of M∞M_{\infty} provides m1∈M∞m_{1}\in M_{\infty} with ∥x−m1∥<ε\lVert x-m_{1}\rVert<\varepsilon and m2∈M∞m_{2}\in M_{\infty} with ∥y−m2∥<ε\lVert y-m_{2}\rVert<\varepsilon. Since F=f∞F=f_{\infty} on M∞M_{\infty} and f∞f_{\infty} is linear, F(m1+m2)=F(m1)+F(m2)F(m_{1}+m_{2})=F(m_{1})+F(m_{2}) and F(λm1)=λF(m1)F(\lambda m_{1})=\lambda F(m_{1}). The Lipschitz estimate for FF, Norms and Real Normed Spaces (iv) and Norms and Real Normed Spaces (iii) then give

∣F(x+y)−F(x)−F(y)∣≤∣F(x+y)−F(m1+m2)∣+∣F(m1)−F(x)∣+∣F(m2)−F(y)∣≤4Cε,|F(x+y)-F(x)-F(y)|\le|F(x+y)-F(m_{1}+m_{2})|+|F(m_{1})-F(x)|+|F(m_{2})-F(y)|\le4C\varepsilon, ∣F(λx)−λF(x)∣≤∣F(λx)−F(λm1)∣+∣λ∣ ∣F(m1)−F(x)∣≤2C∣λ∣ε.|F(\lambda x)-\lambda F(x)|\le|F(\lambda x)-F(\lambda m_{1})|+|\lambda|\,|F(m_{1})-F(x)|\le2C|\lambda|\varepsilon .

Since ε>0\varepsilon>0 was arbitrary, F(x+y)=F(x)+F(y)F(x+y)=F(x)+F(y) and F(λx)=λF(x)F(\lambda x)=\lambda F(x): FF is a linear functional on XX.

FF is dominated by pp. Let x∈Xx\in X and ε>0\varepsilon>0, and then pick m1∈M∞m_{1}\in M_{\infty} with ∥x−m1∥<ε\lVert x-m_{1}\rVert<\varepsilon as before. By Elementary Properties of Sublinear Functionals (v), p(m1)≤p(x)+C∥x−m1∥p(m_{1})\le p(x)+C\lVert x-m_{1}\rVert, so

F(x)≤F(m1)+Cε=f∞(m1)+Cε≤p(m1)+Cε≤p(x)+2Cε.F(x)\le F(m_{1})+C\varepsilon=f_{\infty}(m_{1})+C\varepsilon\le p(m_{1})+C\varepsilon\le p(x)+2C\varepsilon .

As ε>0\varepsilon>0 was arbitrary, F(x)≤p(x)F(x)\le p(x).

FF is bounded. By Elementary Properties of Sublinear Functionals (vi) with M=XM=X and f=Ff=F, ∣F(x)∣≤C∥x∥|F(x)|\le C\lVert x\rVert for every x∈Xx\in X. So CC is a bound of FF (Bounded Linear Functionals and the Dual Space of a Real Normed Space (i)), FF is bounded (Bounded Linear Functionals and the Dual Space of a Real Normed Space (iii)), and F∈X∗F\in X^{*} by Bounded Linear Functionals and the Dual Space of a Real Normed Space (iv). Finally F=f∞=fF=f_{\infty}=f on MM. This proves (i).

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