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1 There are uncountably many binary sequences whose limiting relative frequency is x. Mariusz Popieluch, April 12, 2015 The proof will proceed with reference to subsets of and their natural densities, but it should be noted that each result about subsets of can be transformed to a corresponding result about binary sequences that are characteristic functions of the sets in question. I.e., for each ܣ⊆ℕ, the characteristic function of ܣis defined as the function : ℕ ⟶ {Ͳ,ͳ} , such that ሺሻ = ͳ if ܣ, else ሺሻ = Ͳ. Such binary sequences, in this context, have the intended interpretation of Bernoulli processes. SOME USEFUL DEFINITIONS AND LEMMAS (i) Let ܣ⊆ℕ and for any ∈ℕ let ܣሺሻ = {ͳ, … , } ܣתand ሺሻ = |ܣሺሻ|. Natural (or asymptotic) density of ܣis defined as the limit on the left, below (if the limit exists): ܣሻ = lim →∞ ሺሻ = lrfሺ ሻ = lim →∞ ͳ ሺሻ =ଵ To that value, there corresponds the limit on the right, which is the limiting relative frequency , denoted lrf, of the binary sequence (derived from ܣ). I’ŵ just preseŶtiŶg this correspondence here, to stress that it exists, but the discussion will make reference only to subsets of and their natural densities, as I believe this approach contributes to the clarity of the argument. So a result about the cardinality of families of subsets of with some fixed natural density, corresponds to a result about the cardinality of families of binary sequences with some fixed limiting relative frequency. (ii) For each ∈ [Ͳ,ͳ] there exists a set ܣ⊆ℕ such that ܣሻ=. Proof: Take some equidistributed sequence { } ∈ℕ in [Ͳ,ͳ] and define a monotone family { ܣ } ∈[,ଵ] of sets: ܣ ∶= { ∈ ℕ ∶ < }. Then, by definition ܣ ሻ=, for all . I only need one such sequence { } ∈ℕ and its above property for the main proof. The existence of such a sequence is guaranteed by the equidistribution theorem. (iii) The set of all the infinite subsets of the set of all primes , is uncountable. (iv) That ሺℙሻ = Ͳ is a well-known fact. But also, for each ܣ∈ℙ ܣሻ=Ͳ. Proof: this is an immediate consequence of the definition of natural density: if is the set of primes, and ܣ, then | ܣ ת[]| | ת[]| for each , where [] = {ͳ, … , }. In this case the limits exist by the squeeze theorem, since zero is a lower bound for | ܣ ת[]| /, and the upper bound of | ת[]| / tends to zero. (v) If ܣሻ=>Ͳ and ܤሻ=Ͳ , then ܤכܣሻ=, where ܤכܣdenotes the symmetric difference of sets ܣand ܤ, defined as =ܤכܣ ܣ ܤ ךܤתܣ. Moreover ܤךܣሻ=, since כܣ=ܤךܣܤתܣand the fact that ܤתܣhas density zero. Proof on next page.

There are uncountably many binary sequences whose limiting relative frequency is x

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    There are uncountably many binary sequences whose limiting relative frequency is x.

    Mariusz Popieluch, April 12, 2015

    The proof will proceed with reference to subsets of and their natural densities, but it should be noted that each result about subsets of can be transformed to a corresponding result about binary sequences that are characteristic functions of the sets in question. I.e.,

    for each , the characteristic function of is defined as the function : {,} , such that = if , else = . Such binary sequences, in this context, have the intended interpretation of Bernoulli processes.

    SOME USEFUL DEFINITIONS AND LEMMAS

    (i) Let and for any let = {, , } and = ||. Natural (or asymptotic) density of is defined as the limit on the left, below (if the limit exists): = lim = lrf = lim =

    To that value, there corresponds the limit on the right, which is the limiting relative

    frequency , denoted lrf, of the binary sequence (derived from ). I just presetig this correspondence here, to stress that it exists, but the discussion will make reference

    only to subsets of and their natural densities, as I believe this approach contributes to the clarity of the argument. So a result about the cardinality of families of subsets of with some fixed natural density, corresponds to a result about the cardinality of families of binary sequences with some fixed limiting relative frequency.

    (ii) For each [,] there exists a set such that = . Proof: Take some equidistributed sequence {} in [,] and define a monotone family {}[,] of sets: = { < }. Then, by definition = , for all . I only need one such sequence {} and its above property for the main proof. The existence of such a sequence is guaranteed by the equidistribution theorem.

    (iii) The set of all the infinite subsets of the set of all primes , is uncountable.

    (iv) That = is a well-known fact. But also, for each = . Proof: this is an immediate consequence of the definition of natural density: if is the set of primes, and , then | []| | []| for each , where [] ={, , }. In this case the limits exist by the squeeze theorem, since zero is a lower bound for | []|/, and the upper bound of | []|/ tends to zero.

    (v) If = > and = , then = , where denotes the symmetric difference of sets and , defined as = . Moreover = , since = and the fact that has density zero.

    Proof on next page.

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    PROOF

    Take an element from the family {}[,] given in (ii). It follows that = . Next, the idea is to rid of all of its prime elements, without altering its natural density. This follos directly from . Lets denote, with , and note that = = , by (v). Now, since for each = , then it follows that = for each , by (iv) and (v). This holds for each , by (ii). Hence |{ }| = || for each . Hence |{ }| is uncountable, by (ii), for each [,], as required.

    However, the above cardinal equality rests on the key fact that for all , if , then , for each . In other words, the above result is conditioned on thus generated sets maintaining the natural density of , whilst remaining distinct sets. But this holds by virtue of the construction of for each . For suppose = , then = by definition of symmetric difference, and given that = for all , by the careful construction of , it follows that = . That implies that = , as required.