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[]\fnmRaghavendra \surTripathi

[]\orgdivDepartment of Mathematics, \orgnameUniversity of Washington, \citySeattle, \postcode, \stateWashington, \countryUSA

Two-color exchangeability does not imply exchangeability

Abstract

We provide simple examples of two-color exchangeable sequences ξ=(ξ1,ξ2,,ξn)\xi=(\xi_{1},\xi_{2},\ldots,\xi_{n}) that are not exchangeable. This answers a question of Bladt and Shaiderman [1, Question 2.6] for finite two-color exchangeable sequences.

1 Introduction

A finite or infinite sequence of random variables (ξi)i1(\xi_{i})_{i\geq 1} taking values in a Polish space is exchangeable if

(ξ1,,ξn)=d(ξπ(1),,ξπ(n))(\xi_{1},\ldots,\xi_{n})\stackrel{{\scriptstyle d}}{{=}}(\xi_{\pi(1)},\ldots,\xi_{\pi(n)})

for every nn and every permutation π\pi on [n][n]. Exchangeability is possibly one of the most widely studied topic in probability since the work of de Finetti’s in 1930. Given a finite or infinite sequence of random variables ξi,i=1,2,\xi_{i},i=1,2,\ldots, one can associate a sequence of random empirical measures as μnn1i=1nδξ\mu_{n}\coloneqq n^{-1}\sum_{i=1}^{n}\delta_{\xi}. The following theorem stated in [2] characterizes exchangeable sequences in terms of associated sequence of random empirical.

Theorem 1 (Kallenberg).

A sequence ξ(ξn)n1\xi\coloneqq(\xi_{n})_{n\geq 1} is exchangeable if and only if the associated sequence of empirical measures μ(μn)n1\mu\coloneqq(\mu_{n})_{n\geq 1} forms a reverse martingale (with respect to the filtration 𝒯n=σ(μn,μn+1,)\mathcal{T}_{n}=\sigma(\mu_{n},\mu_{n+1},\ldots)).

Although the above result is correct, the proof presented in [2] was not completely rigorous. The first complete proof of the above result was presented only very recently in [1]. The authors in [1] introduce a notion of two-color exchangeability which seems interesting in its own right. We present the definition below [1, Definition 2.4] for completeness. We also refer the reader to [1, Section 2.2] for an interesting connection of two-color exchangeability with Strassen’s marginal problem [3, 4].

Definition 1 (Two-color exchangeability).

A finite or infinite sequence of random variables ξ(ξi)i1\xi\coloneqq(\xi_{i})_{i\geq 1} taking values in a Polish space (S,𝒮)(S,\mathcal{S}) is said to be two-coloring exchangeable if (f(ξi))i1(f(\xi_{i}))_{i\geq 1} is a binary exchangeable sequence for every measurable function f:S{0,1}f:S\to\{0,1\}.

It is easy to see that if a sequence ξ(ξi)i1\xi\coloneqq(\xi_{i})_{i\geq 1} is exchangeable then it is also two-color exchangeable. The author in [1, Question 2.6] ask if the converse is true or not?

The purpose of this short note is to answer the above question in negative for finite sequences. In particular, for each n2n\geq 2, we construct a sequence of random variables ξ1,ξ2,,ξn\xi_{1},\xi_{2},\ldots,\xi_{n} taking values in {1,0,1}\{-1,0,1\} such that ξ(ξ1,ξ2,,ξn)\xi\coloneqq(\xi_{1},\xi_{2},\ldots,\xi_{n}) is two-color exchangeable but not exchangeable. For pedagogical reasons, we first give such an example for n=2n=2 case in Section 2 and then in Section 3 we construct the example for general n3n\geq 3.

2 Case n=2n=2

Let ξ=(ξ1,ξ2)\xi=(\xi_{1},\xi_{2}) where ξ1,ξ2\xi_{1},\xi_{2} are random variables taking values in {1,0,1}\{-1,0,1\}. We now specify the distribution of ξ\xi. Suppose,

(ξ=(x,x))\displaystyle\mathbb{P}(\xi=(x,x)) =0,x{1,0,1}\displaystyle=0,\quad\forall x\in\{-1,0,1\}
(ξ=(1,0))\displaystyle\mathbb{P}(\xi=(-1,0)) =(ξ=(0,1))=(ξ=(1,1))=19\displaystyle=\mathbb{P}(\xi=(0,1))=\mathbb{P}(\xi=(1,-1))=\frac{1}{9}
(ξ=(0,1))\displaystyle\mathbb{P}(\xi=(0,-1)) =(ξ=(1,0))=(ξ=(1,1))=29.\displaystyle=\mathbb{P}(\xi=(1,0))=\mathbb{P}(\xi=(-1,1))=\frac{2}{9}\;.

Note that ξ\xi is not exchangeable since

(ξ=(1,0))=((ξ1,ξ2)=(1,0))((ξ2,ξ1)=(1,0))=(ξ=(0,1)).\mathbb{P}(\xi=(-1,0))=\mathbb{P}((\xi_{1},\xi_{2})=(-1,0))\neq\mathbb{P}((\xi_{2},\xi_{1})=(-1,0))=\mathbb{P}(\xi=(0,-1))\;.

However, we will show that ξ\xi is two-color exchangeable. To this end, we need to check that (f(ξ1),f(ξ2))(f(\xi_{1}),f(\xi_{2})) is exchangeable for every f:{1,0,1}{0,1}f:\{-1,0,1\}\to\{0,1\}. We begin by noting that there are a total of 88 such function. For f0f\equiv 0 or f1f\equiv 1, we trivially have that (f(ξ1),f(ξ2))(f(\xi_{1}),f(\xi_{2})) is exchangeable.

For i{1,0,1}i\in\{-1,0,1\}, define fi:{1,0,1}{0,1}f_{i}:\{-1,0,1\}\to\{0,1\} by fi=δif_{i}=\delta_{i} where δi(x)=1\delta_{i}(x)=1 if x=ix=i and 0 otherwise. And, define gi=1fig_{i}=1-f_{i}. It is easy to check that these are all (non-trivial) binary functions on {1,0,1}\{-1,0,1\}. It is also easy to see that (fi(ξ1),fi(ξ2))(f_{i}(\xi_{1}),f_{i}(\xi_{2})) is exchangeable if and only if (gi(ξ1),gi(ξ2))(g_{i}(\xi_{1}),g_{i}(\xi_{2})) is exchangeable. Therefore, it suffices to check that (fi(ξ1),fi(ξ2))(f_{i}(\xi_{1}),f_{i}(\xi_{2})) is exchangeable for i{1,0,1}i\in\{-1,0,1\}. This is done by simple calculation that we furnish below for completeness.

In the following, we write μi\mu_{i} for the probability mass function of (fi(ξ1),fi(ξ2))(f_{i}(\xi_{1}),f_{i}(\xi_{2})) for simplicity. Note that

μ1((1,1))\displaystyle\mu_{-1}((1,1)) =(ξ=(1,1))=0\displaystyle=\mathbb{P}(\xi=(-1,-1))=0
μ1((1,0))\displaystyle\mu_{-1}((1,0)) =(ξ=(1,0))+(ξ=(1,1))=19+29=13\displaystyle=\mathbb{P}(\xi=(-1,0))+\mathbb{P}(\xi=(-1,1))=\frac{1}{9}+\frac{2}{9}=\frac{1}{3}
μ1((0,1))\displaystyle\mu_{-1}((0,1)) =(ξ=(0,1))+(ξ=(1,1))=29+19=13\displaystyle=\mathbb{P}(\xi=(0,-1))+\mathbb{P}(\xi=(1,-1))=\frac{2}{9}+\frac{1}{9}=\frac{1}{3}
μ1((0,0))\displaystyle\mu_{-1}((0,0)) =13.\displaystyle=\frac{1}{3}\;.

Since μ1((1,0))=μ1((0,1))\mu_{-1}((1,0))=\mu_{-1}((0,1)), it follows that (f1(ξ1),f1(ξ2))(f_{-1}(\xi_{1}),f_{-1}(\xi_{2})) is exchangeable. Similar calculations hold for f0f_{0} and f1f_{1} as well. This completes the proof.

2.1 A word about the above counterexample

It might be instructive to say a few words about how we arrived at the above counterexample. To this end, we started with the simplest case of a sequence of two random variables ξ1,ξ2\xi_{1},\xi_{2} taking values in a discrete set with three elements. For simplicity, we take the range of the random variables to be {1,0,1}\{-1,0,1\}.

Let ξ=(ξ1,ξ2)\xi=(\xi_{1},\xi_{2}). Since ξ\xi can take only 99 distinct values, the probability mass function of ξ\xi is completely determined by an element 𝐩Δ9\mathbf{p}\in\Delta_{9} where Δ9\Delta_{9} is the unit simplex Δ9={(p1,,p9):p1+p9=1,pi0}\Delta_{9}=\{(p_{1},\ldots,p_{9}):p_{1}+\ldots p_{9}=1,p_{i}\geq 0\}. Let μ\mu denote the probability mass function of ξ\xi and denote

x1\displaystyle x_{1} =μ((1,1))\displaystyle=\mu((-1,-1))
x2\displaystyle x_{2} =μ((1,0)),\displaystyle=\mu((-1,0)), x~2=μ((0,1))\displaystyle\widetilde{x}_{2}=\mu((0,-1))
x3\displaystyle x_{3} =μ((0,0)),\displaystyle=\mu((0,0)),
x4\displaystyle x_{4} =μ((0,1)),\displaystyle=\mu((0,1)), x~4=μ((1,0))\displaystyle\widetilde{x}_{4}=\mu((1,0))
x5\displaystyle x_{5} =μ((1,1))\displaystyle=\mu((1,1))
x6\displaystyle x_{6} =μ((1,1)),\displaystyle=\mu((1,-1)), x~6=μ((1,1)).\displaystyle\widetilde{x}_{6}=\mu((-1,1))\;.

Any arbitrary choice of non-negative real numbers x1,,x6x_{1},\ldots,x_{6} and x~2,x~4,x~6\widetilde{x}_{2},\widetilde{x}_{4},\widetilde{x}_{6} such that x1++x6+x~2+x~4+x~6=1x_{1}+\ldots+x_{6}+\widetilde{x}_{2}+\widetilde{x}_{4}+\widetilde{x}_{6}=1 yields a unique probability mass function and hence uniquely determines a random vector ξ=(ξ1,ξ2)\xi=(\xi_{1},\xi_{2}). The following fact is straightforward.

Fact 1.

Let ξ\xi be as above. Then, ξ\xi is exchangeable if and only if xj=x~jx_{j}=\widetilde{x}_{j} for j=2,4,6j=2,4,6.

On the other hand, doing a calculation similar to the one done in the above subsection yields the following.

Fact 2.

ξ\xi is two-color exchangeable if and only if

x2+x~6\displaystyle x_{2}+\widetilde{x}_{6} =x~2+x6\displaystyle=\widetilde{x}_{2}+x_{6}
x2+x~4\displaystyle x_{2}+\widetilde{x}_{4} =x~2+x4\displaystyle=\widetilde{x}_{2}+x_{4}
x4+x~6\displaystyle x_{4}+\widetilde{x}_{6} =x~4+x6.\displaystyle=\widetilde{x}_{4}+x_{6}\;.

Now it is easy to construct examples of two-color exchangeable sequences of length 22 that are not exchangeable.

3 Case n3n\geq 3

Throughout this section, we fix n3n\geq 3. We will construct ξ=(ξ1,,ξn)\xi=(\xi_{1},\ldots,\xi_{n}) such that each ξi\xi_{i} takes values in {1,0,1}\{-1,0,1\} such that ξ\xi is two-color exchangeable but not exchangeable. Note that ξ\xi takes values in {1,0,1}n\{-1,0,1\}^{n}. However, for simplicity we will only consider the random vectors that take values in Ω\Omega where

Ω={(x1,,xn){1,0,1}n:Each symbol appears exactly 0 or1 or n1 times}.\Omega=\{(x_{1},\ldots,x_{n})\in\{-1,0,1\}^{n}:\text{Each symbol appears exactly }0\text{ or}1\text{ or }n-1\text{ times}\}.

In particular, if ωΩ\omega\in\Omega then ω\omega contains exactly two distinct symbols from {1,0,1}\{-1,0,1\} and one of those symbols occurs with multiplicity 11. We, therefore, partition Ω\Omega, by the symbol occurring exactly once, as Ω1Ω0Ω1\Omega_{-1}\cup\Omega_{0}\cup\Omega_{1}, where Ωα\Omega_{\alpha} is defined for each α{1,0,1}\alpha\in\{-1,0,1\} as

Ωα={ωΩ:α occurs exactly once in ω}.\Omega_{\alpha}=\{\omega\in\Omega:\alpha\text{ occurs exactly once in }\omega\}\;.

For later use we make a convention to denote the elements of Ωα\Omega_{\alpha}. Let i[n]i\in[n]. Then, there are exactly two elements ω,ωΩα\omega,\omega^{\prime}\in\Omega_{\alpha} such that ωi=α=ωi\omega_{i}=\alpha=\omega_{i}^{\prime}. We arrange these elements in lexicographic order and call them fα,if_{\alpha,i} and sα,is_{\alpha,i} respectively. Note that Ωα=i=1n{fα,i,sα,i}\Omega_{\alpha}=\cup_{i=1}^{n}\{f_{\alpha,i},s_{\alpha,i}\}.

Let ξ=(ξ1,,ξn)\xi=(\xi_{1},\ldots,\xi_{n}) be a random vector taking values in Ω\Omega and let μ\mu denote the law of ξ\xi. Notice that μ\mu can be identified with a vector μ~Δ6n\widetilde{\mu}\in\Delta_{6n} where Δd\Delta_{d} is the dd-dimensional unit simplex. In other words, any collection of non-negative real numbers pα,iμ(fα,i),qα,iμ(sα,i)p_{\alpha,i}\coloneqq\mu(f_{\alpha,i}),q_{\alpha,i}\coloneqq\mu(s_{\alpha,i}) such that α{1,0,1}i=1n(pα,i+qα,i)=1\sum_{\alpha\in\{-1,0,1\}}\sum_{i=1}^{n}(p_{\alpha,i}+q_{\alpha,i})=1 determines a unique random vector ξ\xi taking values in Ω\Omega.

We now record the following immediate fact.

Fact 3.

Let μ\mu be the law of a random vector ξ\xi taking values in Ω\Omega. Then, μ\mu is exchangeable if and only if pα,ip_{\alpha,i} and qα,iq_{\alpha,i} are independent of ii for each α{1,0,1}\alpha\in\{-1,0,1\} (that is pα,i=pα,jp_{\alpha,i}=p_{\alpha,j} for all i,j[n]i,j\in[n] and each α\alpha and similarly for qα,q_{\alpha,\cdot}).

We now investigate the conditions for ξ\xi to be two-color exchangeable. To do this, let f:{1,0,1}{0,1}f:\{-1,0,1\}\to\{0,1\} be any non-constant function and let ξ\xi be a random vector taking value in Ω\Omega. Then, the random vector f(ξ)(f(ξ1),,f(ξn))f(\xi)\coloneqq(f(\xi_{1}),\ldots,f(\xi_{n})) takes values in the set Σ{0,1}n\Sigma\subset\{0,1\}^{n} where

Σ={(x1,,xn):xi{0,1},i=1nxi{0,1,n1}}.\Sigma=\left\{(x_{1},\ldots,x_{n}):x_{i}\in\{0,1\},\sum_{i=1}^{n}x_{i}\in\{0,1,n-1\}\right\}\;.

We further partition Σ\Sigma as Σ0Σ1Σn1\Sigma_{0}\cup\Sigma_{1}\cup\Sigma_{n-1} where ΣT{(x1,,xn)Σ:i=1nxi=T}\Sigma_{T}\coloneqq\{(x_{1},\ldots,x_{n})\in\Sigma:\sum_{i=1}^{n}x_{i}=T\} for T{0,1,n1}T\in\{0,1,n-1\}. Let η\eta be a random vector taking values in Σ\Sigma and let ν\nu denote the law of η\eta. Since each ΣT\Sigma_{T} is an orbit under permutations of some binary string of length nn, it follows that η\eta is exchangeable if and only if ν\nu is constant on ΣT\Sigma_{T} for each T{1,1}T\in\{-1,1\}. Note that |Σ0|=1|\Sigma_{0}|=1 and therefore any ν\nu is trivially constant on Σ0\Sigma_{0}.

As argued in Section 2, ξ\xi is two-color exchangeable if and only if f(ξ)f(\xi) to be exchangeable for each f=δαf=\delta_{\alpha} with α=1,0,1\alpha=-1,0,1. Let μα\mu_{\alpha} denote the law of f(ξ)f(\xi) where f=δαf=\delta_{\alpha}. Checking the condition that μα\mu_{\alpha} is constant on ΣT\Sigma_{T} for T{1,n1}T\in\{1,n-1\} yields the following six conditions:

  1. 1.

    ν1\nu_{-1} is constant on Σ1\Sigma_{1} if and only if μ(f0,i)+μ(f1,i)\mu(f_{0,i})+\mu(f_{1,i}) is independent of ii

  2. 2.

    μ1\mu_{-1} is constant on Σn1\Sigma_{n-1} if and only if μ(f0,i)+μ(f1,i)\mu(f_{0,i})+\mu(f_{1,i}) is independent of ii

  3. 3.

    ν0\nu_{0} is constant on Σ1\Sigma_{1} if and only if μ(f0,i)+μ(s0,i)\mu(f_{0,i})+\mu(s_{0,i}) is independent of ii

  4. 4.

    μ0\mu_{0} is constant on Σn1\Sigma_{n-1} if and only if μ(f1,i)+μ(s1,i)\mu(f_{-1,i})+\mu(s_{1,i}) is independent of ii

  5. 5.

    ν1\nu_{1} is constant on Σ1\Sigma_{1} if and only if μ(f1,i)+μ(s1,i)\mu(f_{1,i})+\mu(s_{1,i}) is independent of ii

  6. 6.

    μ1\mu_{1} is constant on Σn1\Sigma_{n-1} if and only if μ(s1,i)+μ(s0,i)\mu(s_{-1,i})+\mu(s_{0,i}) is independent of ii

3.1 A concrete example

It is clear from the above discussion that there are two-color exchangeable sequences that are not exchangeable. For completeness, we specify a particular distribution μ\mu on Ω\Omega that is two-color exchangeable but not exchangeable.

To define μ\mu, it is enough to specify μ(fαi)\mu(f_{\alpha_{i}}) and μ(sα,i)\mu(s_{\alpha,i}) for α{1,0,1}\alpha\in\{-1,0,1\} and i[n]i\in[n]. To this end, we set

μ(f1,i)=μ(f1,i)=μ(s0,i)\displaystyle\mu(f_{-1,i})=\mu(f_{1,i})=\mu(s_{0,i}) =ni+13n(n+1)\displaystyle=\frac{n-i+1}{3n(n+1)}
μ(s1,i)=μ(s1,i)=μ(f0,i)\displaystyle\mu(s_{-1,i})=\mu(s_{1,i})=\mu(f_{0,i}) =i3n(n+1).\displaystyle=\frac{i}{3n(n+1)}\;.

The constant 3n(n+1)3n(n+1) is normalizing constant to make μ\mu a probability measure. Note that μ\mu is not exchangeable because μ(f1,i)\mu(f_{-1,i}) depends on ii, in particular, μ((1,0,,0))μ(0,1,,0)\mu((-1,0,\ldots,0))\neq\mu(0,-1,\ldots,0). However, notice that να(ω)=13n\nu_{\alpha}(\omega)=\frac{1}{3n} for all ωΣ1Σn1\omega\in\Sigma_{1}\cup\Sigma_{n-1} and for each α{1,0,1}\alpha\in\{-1,0,1\}. Thus, να\nu_{\alpha} is exchangeable for each α\alpha. In particular, ξ\xi is two-color exchangeable.

4 Conclusion and further direction

Constructing similar examples of infinite sequence that is two-color exchangeable but not exchangeable may be more delicate. We leave this investigation for future.

The notion of two-color exchangeability, even if it is not equivalent to exchangeablility, seems an interesting concept to study. Exchangeable sequences arise naturally in sampling without replacement. It would be interesting to find similar processes where two-color exchangeability arises naturally.

References

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  • Kallenberg [2005] Kallenberg, O.: Probabilistic Symmetries and Invariance Principles vol. 9. Springer, New-York (2005)
  • Strassen [1965] Strassen, V.: The existence of probability measures with given marginals. The Annals of Mathematical Statistics 36(2), 423–439 (1965)
  • Edwards [1978] Edwards, D.A.: On the existence of probability measures with given marginals. In: Annales de L’institut Fourier, vol. 28, pp. 53–78 (1978)