SLIDE 1
Beatty sequences and integers in golden mean base Michel Dekking - - PowerPoint PPT Presentation
Beatty sequences and integers in golden mean base Michel Dekking - - PowerPoint PPT Presentation
Beatty sequences and integers in golden mean base Michel Dekking CIRM November 6, 2019 11:40-12:20 CIRM November 5, 2019 17:50-18:30 Integers in golden mean base := (1 + 5) / 2 Base phi representations / beta-expansions of the natural
SLIDE 2
SLIDE 3
Integers in golden mean base
ϕ := (1 + √ 5)/2 Base phi representations / beta-expansions of the natural numbers (beta = ϕ) George Bergman in 1957. A natural number N is written in base phi if N has the form N =
∞
- i=−∞
diϕi, with digits di = 0 or 1, and where didi+1 = 11 is not allowed. We write these representations as β(N) = dLdL−1 . . . d1d0 · d−1d−2 . . . dR+1dR.
SLIDE 4
Integers in golden mean base
ϕ := (1 + √ 5)/2 Base phi representations / beta-expansions of the natural numbers (beta = ϕ) George Bergman in 1957. A natural number N is written in base phi if N has the form N =
∞
- i=−∞
diϕi, with digits di = 0 or 1, and where didi+1 = 11 is not allowed. We write these representations as β(N) = dLdL−1 . . . d1d0 · d−1d−2 . . . dR+1dR.
“Significant digits”: dL = dR = 1
SLIDE 5
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman).
SLIDE 6
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples.
SLIDE 7
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1.
SLIDE 8
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01
SLIDE 9
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2
SLIDE 10
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ.
SLIDE 11
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 =
SLIDE 12
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 =
SLIDE 13
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 =
SLIDE 14
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 = 100.01
SLIDE 15
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 = 100.01 4 = 3+1 = 100.01 + 1.0 = 101.01
SLIDE 16
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 = 100.01 4 = 3+1 = 100.01 + 1.0 = 101.01 5 = 4+1 = 101.01 + 1.0 =
SLIDE 17
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 = 100.01 4 = 3+1 = 100.01 + 1.0 = 101.01 5 = 4+1 = 101.01 + 1.0 = 102.01 =
SLIDE 18
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 = 100.01 4 = 3+1 = 100.01 + 1.0 = 101.01 5 = 4+1 = 101.01 + 1.0 = 102.01 = 110.02 =
SLIDE 19
Integers in golden mean base, examples
The base phi representation of a number N is unique (Bergman). Examples. ϕ2 = 1 + ϕ 1 = 1. 2 = 10.01 ϕ + ϕ−2 = 2 ⇔ ϕ + 1/(1 + ϕ) = 2 ⇔ (1+ϕ)ϕ+1 = 2+2ϕ ⇔ ϕ+ 1+ϕ = 1+2ϕ. 3 = 2+1 = 10.01 + 1.0 = 11.01 = 100.01 4 = 3+1 = 100.01 + 1.0 = 101.01 5 = 4+1 = 101.01 + 1.0 = 102.01 = 110.02 = 1000.1001
SLIDE 20
Integers in golden mean base, a list
N β(N) 1 1 2 10 · 01 3 100 · 01 4 101 · 01 5 1000 · 1001 6 1010 · 0001 7 10000 · 0001 8 10001 · 0001 9 10010 · 0101 10 10100 · 0101 11 10101 · 0101 12 100000 · 101001 13 100010 · 001001 14 100100 · 001001 15 100101 · 001001 N N in base 2 1 1 2 10 3 11 4 100 5 101 6 110 7 111 8 1000 9 1001 10 1010 11 1011 12 1100 13 1101 14 1110 15 1111
SLIDE 21
Distribution of kth digit dk = dk(N)?
Distribution of dk = dk(N) over the natural numbers N ∈ N, where k is an integer.
SLIDE 22
Distribution of kth digit dk = dk(N)?
Distribution of dk = dk(N) over the natural numbers N ∈ N, where k is an integer. Distribution in the frequency sense: The case k = 0 conjectured by Bergman, and proved in 1999 by
- E. Hart and L. Sanchis,
On the occurrence of Fn in the Zeckendorf decomposition of nFn: THEOREM The frequency of 1’s in (d0(N)) exists, and lim
N→∞
1 N
N
- M=1
d0(M) = 1 ϕ + 2 = 5 − √ 5 10 .
SLIDE 23
Distribution of digit d0 = d0(N) and d1 = d1(N)
Stronger property for d0 (Baruchel 2018): CONJECTURE 1 Digit d0(N) = 1 if and only if N = ⌊nϕ⌋ + 2n + 1 for some natural number n, or N = 1.
SLIDE 24
Distribution of digit d0 = d0(N) and d1 = d1(N)
Stronger property for d0 (Baruchel 2018): CONJECTURE 1 Digit d0(N) = 1 if and only if N = ⌊nϕ⌋ + 2n + 1 for some natural number n, or N = 1. (⌊nϕ⌋) = 1, 3, 4, 6, 8, 9, 11, 12, 14, 16, 17, 19, 21, 22, 24, 25, 27, ... is the well known lower Wythoff sequence.
SLIDE 25
Distribution of digit d0 = d0(N) and d1 = d1(N)
Stronger property for d0 (Baruchel 2018): CONJECTURE 1 Digit d0(N) = 1 if and only if N = ⌊nϕ⌋ + 2n + 1 for some natural number n, or N = 1. (⌊nϕ⌋) = 1, 3, 4, 6, 8, 9, 11, 12, 14, 16, 17, 19, 21, 22, 24, 25, 27, ... is the well known lower Wythoff sequence. Corresponding property for digit d1 (Kimberling 2012): CONJECTURE 2 Digit d1(N) = 1 if and only if N = ⌊nϕ⌋ + 2n − 1 for some natural number n.
SLIDE 26
Generalized Beatty sequences
In the conjectures occur sequences V of the type V (n) = p⌊nα⌋ + q n + r, n ≥ 1, where α is a real number, and p, q, and r are integers.
SLIDE 27
Generalized Beatty sequences
In the conjectures occur sequences V of the type V (n) = p⌊nα⌋ + q n + r, n ≥ 1, where α is a real number, and p, q, and r are integers. If S is a sequence then ∆S(n) = S(n + 1) − S(n), for n = 1, 2 . . . .
SLIDE 28
Generalized Beatty sequences
In the conjectures occur sequences V of the type V (n) = p⌊nα⌋ + q n + r, n ≥ 1, where α is a real number, and p, q, and r are integers. If S is a sequence then ∆S(n) = S(n + 1) − S(n), for n = 1, 2 . . . . The sequence ∆(⌊nϕ⌋) is equal to the Fibonacci word x2,1 = 21221212 . . . on the alphabet {2, 1}.
SLIDE 29
Generalized Beatty sequences
In the conjectures occur sequences V of the type V (n) = p⌊nα⌋ + q n + r, n ≥ 1, where α is a real number, and p, q, and r are integers. If S is a sequence then ∆S(n) = S(n + 1) − S(n), for n = 1, 2 . . . . The sequence ∆(⌊nϕ⌋) is equal to the Fibonacci word x2,1 = 21221212 . . . on the alphabet {2, 1}. LEMMA (JPA & FMD, 2019) Let V (n) = p⌊nϕ⌋ + qn + r be a golden mean GBS. Then ∆V = x2p+q,p+q. Conversely, if xa,b is the Fibonacci word on the alphabet {a, b}, then any V with ∆V = xa,b is a GBS V = ((a − b)⌊nϕ⌋) + (2b − a)n + r) for some integer r.
SLIDE 30
Morphisms
Morphism: is a map from the set of infinite words over an alphabet to itself, respecting the concatenation operation. Example: Fibonacci morphism σ on {0, 1} σ(0) = 01, σ(1) = 0.
SLIDE 31
Morphisms
Morphism: is a map from the set of infinite words over an alphabet to itself, respecting the concatenation operation. Example: Fibonacci morphism σ on {0, 1} σ(0) = 01, σ(1) = 0. A central role in this talk: γ on the alphabet {A, B, C, D} γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
SLIDE 32
Morphisms
Morphism: is a map from the set of infinite words over an alphabet to itself, respecting the concatenation operation. Example: Fibonacci morphism σ on {0, 1} σ(0) = 01, σ(1) = 0. A central role in this talk: γ on the alphabet {A, B, C, D} γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC. LEMMA The morphism γ has the following properties i) |γn(A)| = Ln, for all n ≥ 2, where Ln is the nth Lucas number. ii) γn(A) = γn(C) and γn(A) = γn+1(B) for all n ≥ 2.
SLIDE 33
Lucas numbers
The Lucas numbers (Ln) = (2, 1, 3, 4, 7, 11, 18, 29, 47, 76, 123, 199, 322, . . . ): L0 = 2, L1 = 1, Ln = Ln−1 + Ln−2 for n ≥ 2.
SLIDE 34
Lucas numbers
The Lucas numbers (Ln) = (2, 1, 3, 4, 7, 11, 18, 29, 47, 76, 123, 199, 322, . . . ): L0 = 2, L1 = 1, Ln = Ln−1 + Ln−2 for n ≥ 2. The Lucas numbers have a particularly simple base phi representation. From the well-known formula L2n = ϕ2n + ϕ−2n, and the recursion L2n+1 = L2n + L2n−1, we have for all n ≥ 1 β(L2n) = 102n · 02n−11, β(L2n+1) = 1(01)n · (01)n.
SLIDE 35
Lucas numbers
The Lucas numbers (Ln) = (2, 1, 3, 4, 7, 11, 18, 29, 47, 76, 123, 199, 322, . . . ): L0 = 2, L1 = 1, Ln = Ln−1 + Ln−2 for n ≥ 2. The Lucas numbers have a particularly simple base phi representation. From the well-known formula L2n = ϕ2n + ϕ−2n, and the recursion L2n+1 = L2n + L2n−1, we have for all n ≥ 1 β(L2n) = 102n · 02n−11, β(L2n+1) = 1(01)n · (01)n. Since β(L2n) consists of only 0’s between the exterior 1’s: LEMMA EVEN For all n ≥ 1 and k = 1, . . . , L2n−1 one has β(L2n + k) = β(L2n) + β(k) = 10 . . . 0 β(k) 0 . . . 01.
SLIDE 36
More Lucas numbers
As in Hart (’98), Hart & Sanchis (’99), Sanchis & Sanchis (’01): STRATEGY: partition the natural numbers in intervals [Ln + 1, Ln+1], and establish recursive relations for the β-expansions of the numbers in these intervals.
SLIDE 37
More Lucas numbers
As in Hart (’98), Hart & Sanchis (’99), Sanchis & Sanchis (’01): STRATEGY: partition the natural numbers in intervals [Ln + 1, Ln+1], and establish recursive relations for the β-expansions of the numbers in these intervals. However, an analogous formula as in previous LEMMA starting from an odd Lucas number does not exist. It seems that to obtain recursive relations the interval [L2n+1 + 1, L2n+2 − 1] has to be divided into three subintervals.
SLIDE 38
The odd Lucas number intervals
G.R. Sanchis and L.A. Sanchis, On the frequency of occurrence of αi in the α-expansions of the positive integers, Fibonacci Quart. 39 (2001), 123–173. LEMMA ODD For all n ≥ 2 and k = 1, . . . , L2n−2 − 1 β(L2n+1 + k) = 1000(10)−1β(L2n−1 + k)(01)−11001, β(L2n+1 + L2n−1 + k) = 10β(L2n−1 + k)(01)−10001. Moreover, for all n ≥ 2 and k = 0, . . . , L2n−3 β(L2n+1 + L2n−2 + k) = 10010(10)−1β(L2n−2 + k)(01)−1001001.
SLIDE 39
A proof of the conjectures
Conjecture 1 and Conjecture 2 are implied by: THEOREM d1d0 Let β(N) = (di(N)) be the base phi representation of a natural number N. Then: d0(N) = 1 ⇔ N = ⌊nϕ⌋ + 2n + 1 for some n, d1d0(N) = 10 ⇔ N = ⌊nϕ⌋ + 2n − 1 for some n, d1d0d−1(N) = 000 ⇔ N = ⌊nϕ⌋ + 2n for some n, d1d0d−1(N) = 001 ⇔ N = 3⌊nϕ⌋ + n + 1 for some n.
SLIDE 40
A proof of the conjectures
Conjecture 1 and Conjecture 2 are implied by: THEOREM d1d0 Let β(N) = (di(N)) be the base phi representation of a natural number N. Then: d0(N) = 1 ⇔ N = ⌊nϕ⌋ + 2n + 1 for some n, d1d0(N) = 10 ⇔ N = ⌊nϕ⌋ + 2n − 1 for some n, d1d0d−1(N) = 000 ⇔ N = ⌊nϕ⌋ + 2n for some n, d1d0d−1(N) = 001 ⇔ N = 3⌊nϕ⌋ + n + 1 for some n. Coding: T(N) = A iff d1d0(N) = 10, T(N) = B iff d1d0d−1(N) = 000, T(N) = C iff d0(N) = 1, T(N) = D iff d1d0d−1(N) = 001.
SLIDE 41
The 4 letter coding
N β(N) T(N) 1 1 C 2 10 · 01 A 3 100 · 01 B 4 101 · 01 C 5 1000 · 1001 D 6 1010 · 0001 A 7 10000 · 0001 B 8 10001 · 0001 C 9 10010 · 0101 A 10 10100 · 0101 B 11 10101 · 0101 C 12 100000 · 101001 D 13 100010 · 001001 A 14 100100 · 001001 B 15 100101 · 001001 C d1d0 = 10 A d1d0d−1 = 00 · 0 B d0 = 1 C d1d0d−1 = 00 · 1 D
SLIDE 42
The structure of the coding
THEOREM FIX The sequence (T(N))N≥2 is the unique fixed point of the morphism γ.
SLIDE 43
The structure of the coding
THEOREM FIX The sequence (T(N))N≥2 is the unique fixed point of the morphism γ. Theorem FIX is an immediate consequence of: THEOREM Let γ be the morphism given by A → AB, B → C, C → D, D → ABC. Then a) T(2) T(3) · · · T(Ln+1) = γn(A) for n ≥ 2, b) T(Ln+2) T(Ln+3) · · · T(Ln+1+1) = γn−1(A) for n ≥ 3.
SLIDE 44
The structure of the coding
THEOREM FIX The sequence (T(N))N≥2 is the unique fixed point of the morphism γ. Theorem FIX is an immediate consequence of: THEOREM Let γ be the morphism given by A → AB, B → C, C → D, D → ABC. Then a) T(2) T(3) · · · T(Ln+1) = γn(A) for n ≥ 2, b) T(Ln+2) T(Ln+3) · · · T(Ln+1+1) = γn−1(A) for n ≥ 3. This theorem is proved by induction, using LEMMA EVEN and LEMMA ODD.
SLIDE 45
Idea of the proof of THEOREM d1d0
Using Theorem FIX, we study the occurrences of C in T: digit d0(N) = 1 ⇔ T(N) = C. T := CABCABCD . . . is the fixed point of γ, prefixed by C.
SLIDE 46
Idea of the proof of THEOREM d1d0
Using Theorem FIX, we study the occurrences of C in T: digit d0(N) = 1 ⇔ T(N) = C. T := CABCABCD . . . is the fixed point of γ, prefixed by C.
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
The return words of C are CAB and CDAB.
SLIDE 47
Idea of the proof of THEOREM d1d0
Using Theorem FIX, we study the occurrences of C in T: digit d0(N) = 1 ⇔ T(N) = C. T := CABCABCD . . . is the fixed point of γ, prefixed by C.
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
The return words of C are CAB and CDAB. Code the return words by their lengths: 3 and 4.
SLIDE 48
Idea of the proof of THEOREM d1d0
Using Theorem FIX, we study the occurrences of C in T: digit d0(N) = 1 ⇔ T(N) = C. T := CABCABCD . . . is the fixed point of γ, prefixed by C.
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
The return words of C are CAB and CDAB. Code the return words by their lengths: 3 and 4. γ(CAB) = DABC, γ(CDAB) = DABCABC. Coded: 3 → 4, 4 → 43. (modulo conjugation by C) We see that the descendant morphism is the Fibonacci morphism
- n the alphabet {4, 3}, with fixed point x4,3.
SLIDE 49
Idea of the proof of THEOREM d1d0
Using Theorem FIX, we study the occurrences of C in T: digit d0(N) = 1 ⇔ T(N) = C. T := CABCABCD . . . is the fixed point of γ, prefixed by C.
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
The return words of C are CAB and CDAB. Code the return words by their lengths: 3 and 4. γ(CAB) = DABC, γ(CDAB) = DABCABC. Coded: 3 → 4, 4 → 43. (modulo conjugation by C) We see that the descendant morphism is the Fibonacci morphism
- n the alphabet {4, 3}, with fixed point x4,3.
Lemma JPA&FMD then gives that this word, written as a sequence equals (⌊nϕ⌋ + 2n + 1).
SLIDE 50
Idea of the proof of THEOREM d1d0 , part II
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
Positions of D?
SLIDE 51
Idea of the proof of THEOREM d1d0 , part II
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
Positions of D? Return words of D are: DABC and DABCABC Code the return words by their lengths: 4 and 7. γ(DABC) = ABCABCD, γ(DABCABC) = ABCABCDABCD. Coded: 7 → 4, 7 → 74. (modulo conjugation by D) Descendant morphism is Fibonacci on {7, 4}.
SLIDE 52
Idea of the proof of THEOREM d1d0 , part II
Recall: γ(A) = AB, γ(B) = C, γ(C) = D, γ(D) = ABC.
Positions of D? Return words of D are: DABC and DABCABC Code the return words by their lengths: 4 and 7. γ(DABC) = ABCABCD, γ(DABCABC) = ABCABCDABCD. Coded: 7 → 4, 7 → 74. (modulo conjugation by D) Descendant morphism is Fibonacci on {7, 4}. Lemma JPA&FMD then gives that this word, written as a sequence, equals (3⌊nϕ⌋ + n + 1)n≥1.
SLIDE 53
A general result
Recall that we partitioned the natural numbers in Lucas intervals Λ2n := [L2n, L2n+1] and Λ2n+1 := [L2n+1 + 1, L2n+2 − 1].
SLIDE 54
A general result
Recall that we partitioned the natural numbers in Lucas intervals Λ2n := [L2n, L2n+1] and Λ2n+1 := [L2n+1 + 1, L2n+2 − 1]. The basic idea behind this partition is that if β(N) = dLdL−1 . . . d1d0 · d−1d−2 . . . dR+1dR, then the index L = L(N) and the index R = R(N) satisfy L = 2n+ 1, R = −2n ⇔ N ∈ Λ2n; L = 2n+ 2 = −R ⇔ N ∈ Λ2
n+1.
SLIDE 55
A general result
Recall that we partitioned the natural numbers in Lucas intervals Λ2n := [L2n, L2n+1] and Λ2n+1 := [L2n+1 + 1, L2n+2 − 1]. The basic idea behind this partition is that if β(N) = dLdL−1 . . . d1d0 · d−1d−2 . . . dR+1dR, then the index L = L(N) and the index R = R(N) satisfy L = 2n+ 1, R = −2n ⇔ N ∈ Λ2n; L = 2n+ 2 = −R ⇔ N ∈ Λ2
n+1.
THEOREM Let β(N) = (di(N)) be the base phi representation
- f a natural number N, and let k ≥ 2. Then dk(N) = 1 if and only
if N is a member of one of the generalized Beatty sequences (⌊nϕ⌋Lk + nLk−1 + r), where r = r1, r1+ 1, . . . , r1+ |Λk|− 1, with r1 = −Lk−1 if k is even, and r1 = −Lk−1+1 if k is odd.
SLIDE 56
Example: k=2
N β(N) 1 1 2 10 · 01 3 100 · 01 4 101 · 01 5 1000 · 1001 6 1010 · 0001 7 10000 · 0001 8 10001 · 0001 9 10010 · 0101 10 10100 · 0101 11 10101 · 0101 12 100000 · 101001 13 100010 · 001001 14 100100 · 001001 15 100101 · 001001 Λ2 = [L2, L3] = [3, 4], and L1 = 1. The numbers N with d2(N) = 1
- ccur as N = 3⌊nϕ⌋ + n − 1
- r N = 3⌊nϕ⌋ + n.
(⌊nϕ⌋) = 1, 3, 4, 6, 8, 9, 11, ...
SLIDE 57
Digits with negative indices
A result similar to the general theorem will hold for digits dN(k) with k negative, but the situation is somewhat more complex.
SLIDE 58
Digits with negative indices
A result similar to the general theorem will hold for digits dN(k) with k negative, but the situation is somewhat more complex. One has, for example, digit d−2(N) = 1 if and only if N = 4⌊nϕ⌋ + 3n + r for r = 2, 3 or 4 and some n = 0, 1, 2, . . . .
SLIDE 59
Digits with negative indices
A result similar to the general theorem will hold for digits dN(k) with k negative, but the situation is somewhat more complex. One has, for example, digit d−2(N) = 1 if and only if N = 4⌊nϕ⌋ + 3n + r for r = 2, 3 or 4 and some n = 0, 1, 2, . . . . Wanted: simple proof!
SLIDE 60