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The Theorem of Copeland and Erd os on Normal Numbers Jordan Velich - - PowerPoint PPT Presentation

The Theorem of Copeland and Erd os on Normal Numbers Jordan Velich University of Newcastle February 3, 2015 Jordan Velich The Theorem of Copeland and Erd os on Normal Numbers Review Of Normality Definition A number is normal with


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SLIDE 1

The Theorem of Copeland and Erd˝

  • s on Normal

Numbers

Jordan Velich

University of Newcastle

February 3, 2015

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 2

Review Of Normality

Definition A number α is normal with respect to the base β, provided each of the digits 0, 1, 2, . . . , β − 1 occurs with a limiting relative frequency

  • f 1/β, and each of the βk sequences of k digits occurs with the

relative frequency 1/βk. Definition The natural density of the subset A ⊂ N, denoted d(A), is defined as d(A) = lim

x→∞

N(x) x where N(x) := #{a : a ∈ A, a x}. Example The natural density of the even numbers is 1/2.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 3

Review Of Normality

Definition A number α is normal with respect to the base β, provided each of the digits 0, 1, 2, . . . , β − 1 occurs with a limiting relative frequency

  • f 1/β, and each of the βk sequences of k digits occurs with the

relative frequency 1/βk. Definition The natural density of the subset A ⊂ N, denoted d(A), is defined as d(A) = lim

x→∞

N(x) x where N(x) := #{a : a ∈ A, a x}. Example The natural density of the even numbers is 1/2.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 4

Review Of Normality

Definition A number α is normal with respect to the base β, provided each of the digits 0, 1, 2, . . . , β − 1 occurs with a limiting relative frequency

  • f 1/β, and each of the βk sequences of k digits occurs with the

relative frequency 1/βk. Definition The natural density of the subset A ⊂ N, denoted d(A), is defined as d(A) = lim

x→∞

N(x) x where N(x) := #{a : a ∈ A, a x}. Example The natural density of the even numbers is 1/2.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 5

Outline

Normality: The Known and Unkown Copeland-Erd˝

  • s Theorem

Questions of Strong Normality

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 6

Normality

Normality: The Known and Unkown

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 7

Borel’s Conjecture

Definition A number α is normal with respect to the base β, provided each of the digits 0, 1, 2, . . . , β − 1 occurs with a limiting relative frequency

  • f 1/β, and each of the βk sequences of k digits occurs with the

relative frequency 1/βk. With this definition in mind, we begin with the unknown: Conjecture (Borel, 1950) All real irrational algebraic numbers are normal.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 8

Borel’s Conjecture

Definition A number α is normal with respect to the base β, provided each of the digits 0, 1, 2, . . . , β − 1 occurs with a limiting relative frequency

  • f 1/β, and each of the βk sequences of k digits occurs with the

relative frequency 1/βk. With this definition in mind, we begin with the unknown: Conjecture (Borel, 1950) All real irrational algebraic numbers are normal.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 9

Borel’s Conjecture

Definition A number α is normal with respect to the base β, provided each of the digits 0, 1, 2, . . . , β − 1 occurs with a limiting relative frequency

  • f 1/β, and each of the βk sequences of k digits occurs with the

relative frequency 1/βk. With this definition in mind, we begin with the unknown: Conjecture (Borel, 1950) All real irrational algebraic numbers are normal.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 10

Normal Numbers

Some of the most well-known normal numbers discovered so far include: 1933 0.123456789 . . . Champernowne’s Number 1946 0.23571113 . . . Copeland-Erd˝

  • s Number

1956 0.f (1)f (2)f (3) . . . Davenport-Erd˝

  • s Numbers

1973

  • k=1

1 bck ck

Stoneham Numbers

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 11

Copeland-Erd˝

  • s Number

Some of the most well-known normal numbers discovered so far include: 1933 0.123456789 . . . Champernowne’s Number 1946 0.23571113 . . . Copeland-Erd˝

  • s Number

1956 0.f (1)f (2)f (3) . . . Davenport-Erd˝

  • s Numbers

1973

  • k=1

1 bck ck

Stoneham Numbers

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 12

Copeland-Erd˝

  • s Theorem

Copeland-Erd˝

  • s Theorem

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 13

Copeland-Erd˝

  • s Theorem

Theorem (Copeland-Erd˝

  • s, 1946)

If a1, a2, a3, . . . is an increasing sequence of integers such that for every θ < 1 the number of ai’s up to N exceeds Nθ provided N is sufficiently large, then the infinite decimal 0.a1a2a3 . . . is normal with respect to the base β in which these integers are expressed.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 14

An Important Lemma

Lemma (Copeland-Erd˝

  • s, 1946)

The number of integers up to N (N sufficiently large) which are not (ε, k) normal with respect to a given base β is less than Nδ where δ = δ(ε, k, β) < 1. To understand this lemma, we must first be familiar with (ε, k) normality: Definition A number α (in the base β) is said to be (ε, k) normal if any combination of k digits appears consecutively among the digits of α with a relative frequency between β−k − ε and β−k + ε.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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An Important Lemma

Lemma (Copeland-Erd˝

  • s, 1946)

The number of integers up to N (N sufficiently large) which are not (ε, k) normal with respect to a given base β is less than Nδ where δ = δ(ε, k, β) < 1. To understand this lemma, we must first be familiar with (ε, k) normality: Definition A number α (in the base β) is said to be (ε, k) normal if any combination of k digits appears consecutively among the digits of α with a relative frequency between β−k − ε and β−k + ε.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 16

An Important Lemma

Lemma (Copeland-Erd˝

  • s, 1946)

The number of integers up to N (N sufficiently large) which are not (ε, k) normal with respect to a given base β is less than Nδ where δ = δ(ε, k, β) < 1. To understand this lemma, we must first be familiar with (ε, k) normality: Definition A number α (in the base β) is said to be (ε, k) normal if any combination of k digits appears consecutively among the digits of α with a relative frequency between β−k − ε and β−k + ε.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 17

Proof Of Lemma – (ε, 1) normality

Let x be such that βx−1 N < βx, where βx refers to a number (base−β) consisting of x digits. We introduce the notation βj = (β − 1)x−jx

j

  • , where βj counts the

number of numbers (up to N) which have a single digit, for instance 0, occurring a total of j times amongst their x digits. Since a given base β has β digits, and since βj counts the

  • ccurrences of only a single digit, there are at most

β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   numbers up to N which have less than x(1 − ε)/β or more than x(1 + ε)/β 0’s,1’s,. . . ,(β − 1)’s.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 18

Proof Of Lemma – (ε, 1) normality

Let x be such that βx−1 N < βx, where βx refers to a number (base−β) consisting of x digits. We introduce the notation βj = (β − 1)x−jx

j

  • , where βj counts the

number of numbers (up to N) which have a single digit, for instance 0, occurring a total of j times amongst their x digits. Since a given base β has β digits, and since βj counts the

  • ccurrences of only a single digit, there are at most

β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   numbers up to N which have less than x(1 − ε)/β or more than x(1 + ε)/β 0’s,1’s,. . . ,(β − 1)’s.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 19

Proof Of Lemma – (ε, 1) normality

Let x be such that βx−1 N < βx, where βx refers to a number (base−β) consisting of x digits. We introduce the notation βj = (β − 1)x−jx

j

  • , where βj counts the

number of numbers (up to N) which have a single digit, for instance 0, occurring a total of j times amongst their x digits. Since a given base β has β digits, and since βj counts the

  • ccurrences of only a single digit, there are at most

β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   numbers up to N which have less than x(1 − ε)/β or more than x(1 + ε)/β 0’s,1’s,. . . ,(β − 1)’s.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 20

Proof Of Lemma – (ε, 1) normality

In order to prove the lemma for (ε, 1) normality, we have to show that β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < Nδ. We first require some intermediate inequalities. We have from the properties of the binomial expansion:

  • j<x(1−ε)/β

βj < (x + 1)βr1,

  • j>x(1+ε)/β

βj < (x + 1)βr2 where r1 = ⌊(1 − ε)x/β⌋, r2 = ⌊(1 + ε)x/β⌋

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 21

Proof Of Lemma – (ε, 1) normality

In order to prove the lemma for (ε, 1) normality, we have to show that β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < Nδ. We first require some intermediate inequalities. We have from the properties of the binomial expansion:

  • j<x(1−ε)/β

βj < (x + 1)βr1,

  • j>x(1+ε)/β

βj < (x + 1)βr2 where r1 = ⌊(1 − ε)x/β⌋, r2 = ⌊(1 + ε)x/β⌋

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 22

Proof Of Lemma – (ε, 1) normality

In order to prove the lemma for (ε, 1) normality, we have to show that β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < Nδ. We first require some intermediate inequalities. We have from the properties of the binomial expansion:

  • j<x(1−ε)/β

βj < (x + 1)βr1,

  • j>x(1+ε)/β

βj < (x + 1)βr2 where r1 = ⌊(1 − ε)x/β⌋, r2 = ⌊(1 + ε)x/β⌋

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 23

Proof Of Lemma – (ε, 1) normality

By repeated application of the relation βj+1/βj = (x − j)/(j + 1)(β − 1) we obtain βr1ρεx/2

1

< βx, βr2ρεx/2

2

< βx where ρ1 = (x − r1)/(r1 + 1)(β − 1), ρ2 = (x − r2)/(r2 + 1)(β − 1) and where ρ1, ρ2 > 1 for x sufficiently large. It follows that βr1 <

  • ρ−ε/2

1

β x , βr2 <

  • ρ−ε/2

2

β x

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 24

Proof Of Lemma – (ε, 1) normality

By repeated application of the relation βj+1/βj = (x − j)/(j + 1)(β − 1) we obtain βr1ρεx/2

1

< βx, βr2ρεx/2

2

< βx where ρ1 = (x − r1)/(r1 + 1)(β − 1), ρ2 = (x − r2)/(r2 + 1)(β − 1) and where ρ1, ρ2 > 1 for x sufficiently large. It follows that βr1 <

  • ρ−ε/2

1

β x , βr2 <

  • ρ−ε/2

2

β x

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 25

Proof Of Lemma – (ε, 1) normality

By repeated application of the relation βj+1/βj = (x − j)/(j + 1)(β − 1) we obtain βr1ρεx/2

1

< βx, βr2ρεx/2

2

< βx where ρ1 = (x − r1)/(r1 + 1)(β − 1), ρ2 = (x − r2)/(r2 + 1)(β − 1) and where ρ1, ρ2 > 1 for x sufficiently large. It follows that βr1 <

  • ρ−ε/2

1

β x , βr2 <

  • ρ−ε/2

2

β x

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 26

Proof Of Lemma – (ε, 1) normality

Hence β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < β(x + 1) [βr1 + βr2] < β(x + 1)

  • ρ−ε/2

1

β x +

  • ρ−ε/2

2

β x < βδ(x−1) Nδ and the lemma is established for (ε, 1) normality.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 27

Proof Of Lemma – (ε, 1) normality

Hence β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < β(x + 1) [βr1 + βr2] < β(x + 1)

  • ρ−ε/2

1

β x +

  • ρ−ε/2

2

β x < βδ(x−1) Nδ and the lemma is established for (ε, 1) normality.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 28

Proof Of Lemma – (ε, 1) normality

Hence β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < β(x + 1) [βr1 + βr2] < β(x + 1)

  • ρ−ε/2

1

β x +

  • ρ−ε/2

2

β x < βδ(x−1) Nδ and the lemma is established for (ε, 1) normality.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 29

Proof Of Lemma – (ε, 1) normality

Hence β   

  • j<x(1−ε)/β

βj +

  • j>x(1+ε)/β

βj

   < β(x + 1) [βr1 + βr2] < β(x + 1)

  • ρ−ε/2

1

β x +

  • ρ−ε/2

2

β x < βδ(x−1) Nδ and the lemma is established for (ε, 1) normality.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 30

Proof Of Lemma – (ε, k) normality

Consider the digits b0, b1, . . . of a number m N grouped as follows: b0, b1, . . . , bk−1; bk, . . . , b2k−1; b2k, . . . , b3k−1; . . . Each of these groups represents a single digit of m when m is expressed in the base βk. Hence, there are at most Nδ integers m N for which the frequency among these groups of a given combination of k digits falls outside the interval from β−k − ε to β−k + ε. The same holds for b1, b2, . . . , bk; bk+1, . . . , b2k; . . . and so on. This gives our result.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 31

Proof Of Lemma – (ε, k) normality

Consider the digits b0, b1, . . . of a number m N grouped as follows: b0, b1, . . . , bk−1; bk, . . . , b2k−1; b2k, . . . , b3k−1; . . . Each of these groups represents a single digit of m when m is expressed in the base βk. Hence, there are at most Nδ integers m N for which the frequency among these groups of a given combination of k digits falls outside the interval from β−k − ε to β−k + ε. The same holds for b1, b2, . . . , bk; bk+1, . . . , b2k; . . . and so on. This gives our result.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 32

Proof Of Lemma – (ε, k) normality

Consider the digits b0, b1, . . . of a number m N grouped as follows: b0, b1, . . . , bk−1; bk, . . . , b2k−1; b2k, . . . , b3k−1; . . . Each of these groups represents a single digit of m when m is expressed in the base βk. Hence, there are at most Nδ integers m N for which the frequency among these groups of a given combination of k digits falls outside the interval from β−k − ε to β−k + ε. The same holds for b1, b2, . . . , bk; bk+1, . . . , b2k; . . . and so on. This gives our result.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 33

Copeland-Erd˝

  • s Theorem

Theorem (Copeland-Erd˝

  • s, 1946)

If a1, a2, a3, . . . is an increasing sequence of integers such that for every θ < 1 the number of ai’s up to N exceeds Nθ provided N is sufficiently large, then the infinite decimal 0.a1a2a3 . . . is normal with respect to the base β in which these integers are expressed.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 34

Proof Of Copeland-Erd˝

  • s Theorem

Consider the numbers a1, a2, . . . of the increasing sequence up to the largest ai ≤ N, where N = βn. By a counting argument, these numbers altogether have at least n(1 − ε) · (Nθ − N1−ε) digits. Let fN be the relative frequency of the digit 0. It follows from the lemma that the number of ai’s for which the frequency of the digit 0 exceeds β−1 + ε is at most Nδ, and hence fN < β−1 + ε + nNδ n(1 − ε)(Nθ − N1−ε) = β−1 + ε + Nδ−θ (1 − ε)(1 − N1−ε−θ)

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 35

Proof Of Copeland-Erd˝

  • s Theorem

Consider the numbers a1, a2, . . . of the increasing sequence up to the largest ai ≤ N, where N = βn. By a counting argument, these numbers altogether have at least n(1 − ε) · (Nθ − N1−ε) digits. Let fN be the relative frequency of the digit 0. It follows from the lemma that the number of ai’s for which the frequency of the digit 0 exceeds β−1 + ε is at most Nδ, and hence fN < β−1 + ε + nNδ n(1 − ε)(Nθ − N1−ε) = β−1 + ε + Nδ−θ (1 − ε)(1 − N1−ε−θ)

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 36

Proof Of Copeland-Erd˝

  • s Theorem

Since we are permitted to take θ greater than δ and greater than 1 − ε, it follows that limN→∞ fN is at most β−1 + ε and hence at most β−1. A similar result holds for the digits 1, 2, . . . , β − 1 and hence each of these digits must have a limiting relative frequency of exactly β−1. In a similar manner, it can be shown that the limiting relative frequency of any combination of k digits is β−k.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 37

Proof Of Copeland-Erd˝

  • s Theorem

Since we are permitted to take θ greater than δ and greater than 1 − ε, it follows that limN→∞ fN is at most β−1 + ε and hence at most β−1. A similar result holds for the digits 1, 2, . . . , β − 1 and hence each of these digits must have a limiting relative frequency of exactly β−1. In a similar manner, it can be shown that the limiting relative frequency of any combination of k digits is β−k.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 38

Proof Of Copeland-Erd˝

  • s Theorem

Since we are permitted to take θ greater than δ and greater than 1 − ε, it follows that limN→∞ fN is at most β−1 + ε and hence at most β−1. A similar result holds for the digits 1, 2, . . . , β − 1 and hence each of these digits must have a limiting relative frequency of exactly β−1. In a similar manner, it can be shown that the limiting relative frequency of any combination of k digits is β−k.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 39

Questions Of Strong Normality

Questions of Strong Normality

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 40

Strong Normality

Definition A number α is simply strongly normal to the base β, if for each k ∈ {0, 1, . . . , β − 1}, we have lim sup

n→∞

mk(n) − n/β

  • 2n log log n

=

  • β − 1

β and lim inf

n→∞

mk(n) − n/β

  • 2n log log n

= −

  • β − 1

β where mk(n) := #{i : ai = k, i n}. A number is strongly normal to the base β if it is simply strongly normal in each base βj, j = 1, 2, 3, . . . , and is absolutely strongly normal if it is strongly normal to every base.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 41

Strong Normality

Definition A number α is normal with respect to the base β, if for each combination of k digits, a1a2 . . . ak, we have lim

x→∞

N(x) x = 1 βk where N(x) is the number of occurrences of a1a2 . . . ak in the first x digits of α. Some interesting results arising from these definitions are: A number which is strongly normal to the base β is normal to the base β. Champernowne’s base-β number is not strongly normal to the base β.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 42

Strong Normality

Definition A number α is normal with respect to the base β, if for each combination of k digits, a1a2 . . . ak, we have lim

x→∞

N(x) x = 1 βk where N(x) is the number of occurrences of a1a2 . . . ak in the first x digits of α. Some interesting results arising from these definitions are: A number which is strongly normal to the base β is normal to the base β. Champernowne’s base-β number is not strongly normal to the base β.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 43

Strong Normality

Definition A number α is normal with respect to the base β, if for each combination of k digits, a1a2 . . . ak, we have lim

x→∞

N(x) x = 1 βk where N(x) is the number of occurrences of a1a2 . . . ak in the first x digits of α. Some interesting results arising from these definitions are: A number which is strongly normal to the base β is normal to the base β. Champernowne’s base-β number is not strongly normal to the base β.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 44

Strong Normality

Definition A number α is normal with respect to the base β, if for each combination of k digits, a1a2 . . . ak, we have lim

x→∞

N(x) x = 1 βk where N(x) is the number of occurrences of a1a2 . . . ak in the first x digits of α. Some interesting results arising from these definitions are: A number which is strongly normal to the base β is normal to the base β. Champernowne’s base-β number is not strongly normal to the base β.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 45

Our Conjecture

Conjecture The number α (= 0.a1a2a3 . . . ) formed from the concatenation of the increasing sequence a1, a2, a3, . . . is not strongly normal, provided that the sequence of integers is dense enough, that is, N(x) > xθ for every θ < 1 and sufficiently large x. Heuristic: This conjecture is put forward as a consequence of Champernowne’s number failing to be strongly normal. We believe that all the other concatenation numbers should also fail this strong normality test, the reason being that these sequences are just too dense – there are too few integers being

  • excluded. In this way, we see these concatenation numbers as

being basically the same as Champernowne’s number – too structured – and thus we conjecture that these numbers should fail to be strongly normal.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
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SLIDE 46

Our Conjecture

Conjecture The number α (= 0.a1a2a3 . . . ) formed from the concatenation of the increasing sequence a1, a2, a3, . . . is not strongly normal, provided that the sequence of integers is dense enough, that is, N(x) > xθ for every θ < 1 and sufficiently large x. Heuristic: This conjecture is put forward as a consequence of Champernowne’s number failing to be strongly normal. We believe that all the other concatenation numbers should also fail this strong normality test, the reason being that these sequences are just too dense – there are too few integers being

  • excluded. In this way, we see these concatenation numbers as

being basically the same as Champernowne’s number – too structured – and thus we conjecture that these numbers should fail to be strongly normal.

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers
slide-47
SLIDE 47

The End

Thank you!

Jordan Velich The Theorem of Copeland and Erd˝

  • s on Normal Numbers