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The notion of “superconvex spaces” generalizes the idea of convex spaces by replacing finite affine sums with countable affine sums.
The category of superconvex spaces is the category of algebras for the countable distribution monad $D$ defined on $\mathbf{Set}$ by:
For $X$ a set let $D X$ be the set whose elements are functions $p:X\to[0,1]$ such that
$p(x)\ne 0$ for only countably many $x$, and
$\sum_{x\in X} p(x)=1$. (The limit of the countable sum is one.)
Note that the sum above is countable if one excludes all the zero addenda.
The elements of $D X$ are called countable distributions or countably-supported probability measures over $X$.
Given a function $f:X\to Y$, one defines the pushforward $D f:D X\to D Y$ as follows. Given $p\in D X$, then $(D f)(p)\in D Y$ is the function
(Note that, up to zero addenda, the sum above is again countable. Moreover, once we have defined countably affine, note that the pushforward map is countably affine.)
Let $\mathcal{G}(\mathbb{N})$ denote the set of all probability measures on the set of natural numbers, hence every $\mathbf{p}$ can be represented as $\mathbf{p} = \sum_{i \in \mathbb{N}} p_i \delta_i$ where $\sum_{i \in \mathbb{N}} p_i=1$ with each $p_i \in [0,1]$. Here $\mathcal{G}$ is the Giry monad, but because we want to forget the $\sigma$-algebra associated with the measurable space $\mathcal{G}(\mathbb{M})$ we often write $\Delta_{\mathbb{N}}$ for its underlying set. That set may be regarded as the countably infinite-dimensional simplex, as such it is the prototypical example of a superconvex space.
Given any set $A$, a sequence $\mathbf{a} \colon \mathbb{N} \rightarrow A$, and any $\mathbf{p} \in \mathcal{G}(\mathbb{N})$, we refer to the formal sum $\sum_{i \in \mathbb{N}} p_i a_i$ as a countably affine sum of elements of $A$, and for brevity we use the notation $\sum_{i\in \mathbb{N}} p_i a_i$ to refer to a countably affine sum dropping the explicit reference to the condition that the limit of partial sums $\sum_{i=0}^N p_i$ converges to one. An alternative notation to the countable affine sum notation is to use the integral notation
(superconvex spaces)
We say a set $A$ has the structure of a superconvex space if it comes equipped with a function
such that the following axiom is satisfied:
Axiom. If $\mathbf{p} \in \mathcal{G}(\mathbb{N})$ and $\mathbf{Q}: \mathbb{N} \rightarrow \mathcal{G}(\mathbb{N})$ is a sequence of probability measures on $(\mathbb{N}, \mathcal{P}(\mathbb{N}))$ then
The axiom uses the pushforward measure $\mathcal{G}(\mathbf{Q})\mathbf{p} \in \mathcal{G}^2{\mathbb{N}}$ and the natural transformation $\mu$ of the Giry monad at component $\mathbb{N}$, $\mu_{\mathbb{N}}: \mathcal{G}^2(\mathbb{N}) \rightarrow \mathcal{G}(\mathbb{N})$, which yields the probability measure on the measurable space $(\mathbb{N}, \mathcal{P}{\mathbb{N}})$ whose value at the measurable set $\{j\}$ is given by the composite of measurable maps
(category of superconvex spaces)
A morphism of superconvex spaces, called a countably affine map, is a set function $m: A \rightarrow B$ such that
where the composite $m \circ \mathbf{a}$ gives the sequence in $B$ with component $m(a_i)$. Composition of countably affine maps is the set-theoretical composition.
Superconvex spaces with morphisms the countably affine maps thus form a category denoted $\mathbf{SCvx}$.
In physics, superconvex spaces have been referred to as strong convex spaces, and since probability amplitudes are employed there one makes use of the $\ell_2$-norm instead of the tradition ‘’$\ell_1$-norm’‘ which is used above. By using
where
and $p_i^{\star}$ is the complex conjugate of $p_i$, applied to the above axioms one obtains superconvex spaces useful for physics.
For every sequence $\mathbf{a} \colon \mathbb{N} \rightarrow A$ and every $j \in \mathbb{N}$ the property
holds.
Choose the constant sequence $\mathbf{Q}: \mathbb{N} \rightarrow \mathcal{G}\mathbb{N}$ with value $\delta_j$ applied to the axiom yields the result.
The most basic property of superconvex spaces, is
For $A$ any superconvex space every countably affine map $m \in \SCvx(\Delta_{\mathbb{N}}, A)$ is uniquely specified by a sequence in $A$, hence we have $\SCvx(\Delta_{\mathbb{N}}, A) \cong \Set(\mathbb{N},A)$.
Every element $\mathbf{p} \in \Delta_{\mathbb{N}}$ has a unique representation as a countable affine sum $\mathbf{p} = \sum_{i \in \mathbb{N}} p_i \delta_i$, and hence a countably affine map $m:\Delta_{\mathbb{N}} \rightarrow A$ is uniquely determined by where it maps each Dirac measure $\delta_i$. Thus $i \mapsto m(\delta_i)$ specifies a sequence in $A$.
A function $f \colon \mathbb{N} \rightarrow \mathbb{N}$ is a countably affine map if and only if $f$ is monotone, $i \lt j$ implies $f(i) \le f(j)$.
Necessary condition. Suppose that $f: \mathbb{N} \rightarrow \mathbb{N}$ is a countably affine map. Let $i \lt j$. By the superconvex space structure on $\mathbb{N}$ it follows, for all $\alpha \in (0,1)$, that $\alpha i + (1-\alpha) j = i$ . If $f$ is not monotone then there exist a pair of elements $i,j \in \mathbb{N}$ such that $i \lt j$ with $f(j) \lt f(i)$. This implies, for all $\alpha \in (0,1)$, that
which contradicts our hypothesis that $f$ is a countably affine map.
Sufficient condition. Suppose $f$ is a monotone function, and that we are given an arbitrary countably affine sum $\sum_{i \in \mathbb{N}} p_i i = n$ in $\mathbb{N}$, so that for all $i=0,1,\ldots,n-1$ we have $p_i=0$. Since the condition defining the superconvex structure is conditioned on the property $p_i \ne 0$, the countably affine sum is not changed by removing any number of terms $i$ in the countable sum whose coefficient $p_i=0$. Hence for all $j$ such that $n\lt j$ it follows that $f(n) \le f(j)$ so that
where the last equality follows from the definition of the superconvex space structure on $\mathbb{N}$.
The standard free space construction can be applied to superconvex spaces to obtain an adjoint pair $\mathcal{F}:\mathbf{Set} \leftrightarrows \mathbf{SCvx}: \mathcal{U}$ where $\mathcal{F}(A)$ consists of all formal countable affine sums, $\int_{\mathbb{N}} \mathbf{a} \, d\mathbf{p} := \sum_{i \in \mathbb{N}}p_i a_i$ for $\mathbf{p} \in \mathcal{G}{\mathbb{N}}$ and $\mathbf{a} \in \mathbf{Set}(\mathbb{N},A)$, modulo the relations
so that the sole necessary axiom of a superconvex space is satisfied.
The monad arising from this adjunction, with the usual unit and counit maps (for the free and forgetful functors), is the countable distribution monad defined in the Idea section, and the category of algebras of that monad is superconvex spaces.
Note that the finite distribution monad also arises from the free functor and forgetful functor adjunction. (The verification that the finite and countable distributions arise from the free functor and forgetful functor is straight forward.)
A direct method to prove that the category of algebras of $D$, $Alg(D)$, is equivalent to the category of superconvex spaces is to show that the comparison functor $\Phi: \mathbf{SCvx} \rightarrow Alg(D)$ has a two-sided inverse $\Psi: Alg(D) \rightarrow \mathbf{SCvx}$. This functor is defined on objects by taking $\Psi( \alpha:D X \rightarrow X )$ as the set $X$ with the superconvex structure defined by $\sum_{i \in \mathbb{N}} p_i x_i = \alpha(\sum_{i \in \mathbb{N}} p_i x_i)$ where the countable sum on the right hand side is a formal countable sum, which is an element of $D X$. Given any map of algebras $f: (X,h) \rightarrow (Y,k)$ it follows, as shown by the (only) proof given on the Giry monad page is that the function $f$, which we now view in $\mathbf{Set}$, is necessarily a countably affine map. (Simply replace the terms $\sum_{i \in \mathbb{N}}p_i \delta_{x_i}$ with the term $\sum_{i \in \mathbb{N}}p_i x_i$ which is an element in $D X$.)
The category $\mathbf{SCvx}$ has all limits and colimits. Furthermore it is a symmetric monoidal closed category under the tensor product. The proof of the latter condition follows the proof by Meng, replacing finite sums with countable sums.
The full subcategory consisting of the single object $\Delta_{\mathbb{N}}$ is dense in $\mathbf{SCvx}$, and hence we can employ the restricted Yoneda embedding to view superconvex spaces as the functors $\widehat{A}=\mathbf{SCvx}(\cdot,A) \in \mathbf{Set}^{\Delta_{\mathbb{N}}^{op}}$, where $\Delta_{\mathbb{N}}$ is viewed as a monoid.
An ideal in a superconvex space $A$ is a subset $\mathcal{I}$ such that whenever $a_0 \in \mathcal{I}$ and $\sum_{i \in \mathbb{N}}p_i a_i$ is a countable affine sum with the coefficient of $a_0$ nonzero then $\sum_{i \in \mathbb{N}}p_i a_i \in \mathcal{I}$. Ideals are useful for defining functors to or from $\mathbf{SCvx}$.
A fundamental superconvex space is the set $\mathbb{N}$ with the superconvex space structure defined, for every sequence $\mathbf{s}: \mathbb{N} \rightarrow \mathbb{N}$ by
That structure on $\mathbb{N}$ shows that the function $\epsilon: \mathcal{G}(\mathbb{N}) \rightarrow \mathbb{N}$ defined by $\sum_{i \in \mathbb{N}} p_i \delta_i \mapsto \inf_i \{i | p_i\gt 0\}$ is a countably affine map.
As an example of the utility of ideals in a superconvex space we note that for $\mathcal{G}$ the Giry monad the measurable space $\mathcal{G}(X)$, with the smallest $\sigma$-algebra such that the evaluation maps $ev_U: \mathcal{G}(X) \rightarrow [0,1]$ are measurable for every measurable set $U$ in $X$, has a superconvex space structure defined on it pointwise.
Note that if $X$ is any measurable space the maximal proper ideals of $\mathcal{G}{X}$ are of the form $ev_{U}^{-1}( (0,1])$ or $ev_U^{-1}([0,1))$ for $U\ne X$ a nonempty measurable set in $X$.
To prove this, note that both $(0,1]$ and $[0,1)$ are ideals in the superconvex space $[0,1]$, with the natural superconvex space structure, and it follows that $ev_{U}^{-1}( [0,1))$ and $ev_U^{-1}((0,1])$ are ideals in $\mathcal{G}{X}$. (The preimage of an ideal under a countably affine map is an ideal in the domain space. The proof is the standard argument for ideals in any category.) Consider the ideal $ev_U^{-1}( [0,1))$. To show that this is a maximal proper ideal suppose that $\mathcal{I}$ is another ideal of $\mathcal{G}{X}$ such that $ev_U^{-1}( [0,1)) \varsubsetneqq \mathcal{I}$. Every element $P \in \mathcal{I}$ which is not in $ev_U^{-1}([0,1))$ has the defining property that $P(U^c)=1$. Now let $Q \in \mathcal{G}{X}$. If $Q \notin \mathcal{J}$ and $Q \notin ev_U^{-1}([0,1))$ then $Q(U^c) \ne 1$ which implies $Q \in ev_U^{-1}( [0,1)) \varsubsetneqq J$ which is self-contradictory. Thus $\mathcal{J}$ must be all of $\mathcal{G}{X}$ which shows $ev_U^{-1}([0,1))$ is a maximal (proper) ideal. The argument that the ideal $ev_U^{-1}( (0,1])$ is a maximal ideal is similiar except we replace the condition $P(U^c)=1$ in the above proof with $P(U)=0$.
If we restrict to the category of standard measurable spaces then every object has a countable generating basis and it is then clear that every ideal in $\mathcal{G}(X)$ is a countable intersection of maximal ideals, and hence measurable. This implies, for example, that every countably affine map $k: \mathcal{G}(X) \rightarrow \mathbb{N}$ is also a measurable function with $\mathbb{N}$ having the powerset $\sigma$-algebra. (The only ideals of $\mathbb{N}$ are the principal ideals $\downarrow \! 0 \subset \downarrow \! 1 \subset \ldots$.)
The one point compactification of the real line $\mathbb{R}_{\infty}$, with one point adjoined, denoted $\infty$, which satisfies the property that any countably affine sum $\sum_{i \in \mathbb{N}} p_i r_i = \infty$ if either (1) $r_j = \infty$ and $p_j \gt 0$ for any index $j$, or (2) the sequence of partial sums does not converge, is a superconvex space. The real line $\mathbb{R}$ is not a super convexspace since we could take $p_i = \frac{1}{2^i}$ and $r_i = 2^{i+1}$ and the limit of the sequence does not exist in $\mathbb{R}$. Thus while $\mathbb{R}$ is a convex space it is not a superconvex space.
The only nonconstant countably affine map $j: \mathbb{R}_{\infty} \rightarrow \mathbb{2}$ is given by $j(u)=1$ for all $u \in \mathbb{R}$ and $j(\infty)=0$ (for the superconvex space structure on $\mathbf{2}$ determined by $\frac{1}{2} \underline{0} + \frac{1}{2} \underline{1} = \underline{0}$).
A pathological space, useful for counterexamples, is given by the closed unit interval with the superconvex space structure defined by the infimum function, $\sum_{i \in \mathbb{N}} p_i u_i := inf_i \{ u_i | p_i \gt 0\}$.
Consider the probability monad on compact Hausdorff spaces, where the algebras are precisely the compact convex sets $K$ in locally convex topological vector spaces together with the barycenter maps $\beta_K:\mathcal{P}K\rightarrow K$.
Given such a space $K$ we can endow it with a superconvex space structure by defining, for all $\mathbf{p} \in \mathcal{G}\mathbb{N}$, countable affine sums by $\sum_{i \in \mathbb{N}} p_i k_i := \beta_K( \sum_{i \in \mathbb{N}} p_i \delta_{k_i})$ which, along with the pointwise superconvex space structure on $\mathcal{P}K$ makes the barycenter map $\beta_K$ a countably affine map.
To prove that this endows $K$ with a superconvex space structure note that $\beta_K(\delta_{k_i})= k_i$ for all $k_i \in K$ to obtain
To prove that $\beta_K$ is countably affine on $\mathcal{P}K$ use the property that $\beta_K \circ \mu_K = \beta_K \circ \mathcal{P}\beta_K$.
The method employed in this example is not restricted to locally convex compact Hausdorff spaces. It shows that the algebras of a probability monad are a superconvex space. That implication is the motivation for the next example.
The notion of superconvex spaces originates with:
The proof that $\mathbf{SCvx}$ has no cogenerator is due to:
The fact that $\mathbf{SCvx}$ is a symmetric monoidal argument can be proven the same way it is for convex spaces simply by replacing the finite affine sums with countable affine sums. That proof was given by
Proposition 1.2 in
is particularly useful for viewing superconvex spaces as positively convex spaces which are somewhat easier to work with because the condition $\sum_{i \in \mathbb{N}}p_i=1$ is replaced by the inequality $\le 1$.
The fact that the functor $\mathbf{\Sigma}: \mathbf{\Omega} \rightarrow \mathbf{Std}_2$ is a codense functor can be found in
although several aspects, such as the construction with the right-Kan is incorrect.
For purposes of constructing models of complex systems using superconvex spaces the construction given in Example 6.1 of the following article applies equally well to superconvex spaces.
The term strong convex space was employed in:
Last revised on July 5, 2024 at 07:50:49. See the history of this page for a list of all contributions to it.