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Two Heads Are Better Than NoneOr, Me and the Fibonaccis
Steve Kennedy(with help from Matt Stafford)
Carleton College andMAA Books
Problems are the lifeblood of mathematics.
— David Hilbert
Indiana MAA Spring Section Meeting 2014
The Problem
The Game:
Flip a fair coin repeatedly until two consecutiveheads appear, stop.
The Problem:
I What is the probability that the game will ever end?(Intuitively, this is big, but consider HTHTHTHT. . ., orTTTTTT. . ..)
The Problem
The Game:
Flip a fair coin repeatedly until two consecutiveheads appear, stop.
The Problem:
I What is the probability that the game will ever end?(Intuitively, this is big, but consider HTHTHTHT. . ., orTTTTTT. . ..)
The Problem
The Game:
Flip a fair coin repeatedly until two consecutiveheads appear, stop.
The Problem(s):
I What is the probability that the game will ever end?(Intuitively, this is big, but consider HTHTHTHT..., orTTTTTT...)
I What is the probability that the game ends after exactly nflips?
Counting Arguments
n = 2HH THHT TT
Each event equally likely, so P2 = 1/4.
Counting Arguments
n = 2HH THHT TT
Each event is equally likely, so P2 = 1/4.
n=3
HHH THHHHT THTHTH TTHHTT TTT
Each event is equally likely, so P3 = 1/8.
Counting Arguments: Wait just one minute!
n = 2HH THHT TT
Each event is equally likely, so P2 = 1/4.
n=3
HHH THHHHT THTHTH TTHHTT TTT
Each event is equally likely, so P3 = 1/8.
Non–Counting Arguments
Yes, neither HHH nor HHT can actually happen. So, theprobability of seeing THH is really 1/6. Right?
Non–Counting Arguments
Neither HHH nor HHT can actually happen. So, the probability ofseeing THH is really 1/6?
Well, not exactly. The probability of seeing THH is 1/6 times theprobability that the game didn’t end in exactly two flips.
Non–Counting Arguments
Neither HHH nor HHT can actually happen. So, the probability ofseeing THH is really 1/6?
Well, not exactly. The probability of seeing THH is 1/6 times theprobability that the game didn’t end in exactly two flips.
So, actually, the probability of seeing THH is:
1
6× 6
8.
Non–Counting Arguments
Yes, neither HHH nor HHT can actually happen. So, theprobability of seeing THH is really 1/6.
Well, not exactly. The probability of seeing THH is 1/6 times theprobability that the game didn’t end in exactly two flips.
So, actually, the probability of seeing THH is:
1
6× 6
8=
1
8.
This had to work out.
Non–Counting Arguments
Yes, neither HHH nor HHT can actually happen. So, theprobability of seeing THH is really 1/6.
Well, not exactly. The probability of seeing THH is 1/6 times theprobability that the game didn’t end in exactly two flips.
So, actually, the probability of seeing THH is:
1
6× 6
8=
1
8.
This had to work out—because the coin doesn’t know the rules ofthe game.
Counting Arguments
n = 2HH THHT TT
Each event is equally likely, so P2 = 1/4.
n=3
HHH THHHHT THTHTH TTHHTT TTT
Each event is equally likely, so P3 = 1/8.
n=4
HHHH HTHH THHH TTHHHHHT HTHT THHT TTHTHHTH HTTH THTH TTTHHHTT HTTT THTT TTTT
Each event is equally likely, so P4 = 2/16.
Counting Arguments
n=5
HHHHH HTHHH THHHH TTHHHHHHHT HTHHT THHHT TTHHTHHHTH HTHTH THHTH TTHTHHHHTT HTHTT THHTT TTHTTHHTHH HTTHH THTHH TTTHHHHTHT HTTHT THTHT TTTHTHHTTH HTTTH THTTH TTTTHHHTTT HTTTT THTTT TTTTT
So, P5 = 3/32.
n=6 HTHTHH, HTTTHH, THTTHH, TTHTHH, TTTTHH
So, P6 = 5/64.
n=7 Homework
Counting Arguments
n=5
HHHHH HTHHH THHHH TTHHHHHHHT HTHHT THHHT TTHHTHHHTH HTHTH THHTH TTHTHHHHTT HTHTT THHTT TTHTTHHTHH HTTHH THTHH TTTHHHHTHT HTTHT THTHT TTTHTHHTTH HTTTH THTTH TTTTHHHTTT HTTTT THTTT TTTTT
So, P5 = 3/32.
n=6 HTHTHH, HTTTHH, THTTHH, TTHTHH, TTTTHH
So, P6 = 5/64.
n=7 Homework
Counting Arguments
n=5
HHHHH HTHHH THHHH TTHHHHHHHT HTHHT THHHT TTHHTHHHTH HTHTH THHTH TTHTHHHHTT HTHTT THHTT TTHTTHHTHH HTTHH THTHH TTTHHHHTHT HTTHT THTHT TTTHTHHTTH HTTTH THTTH TTTTHHHTTT HTTTT THTTT TTTTT
So, P5 = 3/32.
n=6 HTHTHH, HTTTHH, THTTHH, TTHTHH, TTTTHH
So, P6 = 5/64.
n=7
Homework
Counting Arguments
n=5
HHHHH HTHHH THHHH TTHHHHHHHT HTHHT THHHT TTHHTHHHTH HTHTH THHTH TTHTHHHHTT HTHTT THHTT TTHTTHHTHH HTTHH THTHH TTTHHHHTHT HTTHT THTHT TTTHTHHTTH HTTTH THTTH TTTTHHHTTT HTTTT THTTT TTTTT
So, P5 = 3/32.
n=6 HTHTHH, HTTTHH, THTTHH, TTHTHH, TTTTHH
So, P6 = 5/64.
n=7 Homework
Search for Pattern
14,
18,
216,
332,
564, . . .
Pn = xn2n , What’s xn?
xn = 1, 1, 2, 3, 5, 8, 13, 21, . . .
Search for Pattern
14,
18,
216,
332,
564, . . .
Pn = xn2n , What’s xn?
xn = 1, 1, 2, 3, 5, 8, 13, 21, . . .
Search for Pattern
14,
18,
216,
332,
564, . . .
Pn = xn2n , What’s xn?
xn = 1, 1, 2, 3, 5, 8, 13, 21, . . .
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
The Rules for Rabbit Reproduction
1. Gestation period is one month.
2. Rabbits born in male/female pairs.
3. Rabbits reach sexual maturity in one month.
4. Rabbits are always pregnant.(And never die.)
Start with one newborn pair, how many pairs will you have nmonths later?
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
The Rules for Rabbit Reproduction
1. Gestation period is one month.
2. Rabbits born in male/female pairs.
3. Rabbits reach sexual maturity in one month.
4. Rabbits are always pregnant.(And never die.)
Start with one newborn pair, how many pairs will you have nmonths later?
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
The Rules for Rabbit Reproduction
1. Gestation period is one month.
2. Rabbits born in male/female pairs.
3. Rabbits reach sexual maturity in one month.
4. Rabbits are always pregnant.(And never die.)
Start with one newborn pair, how many pairs will you have nmonths later?
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
The Rules for Rabbit Reproduction
1. Gestation period is one month.
2. Rabbits born in male/female pairs.
3. Rabbits reach sexual maturity in one month.
4. Rabbits are always pregnant.(And never die.)
Start with one newborn pair, how many pairs will you have nmonths later?
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
The Rules for Rabbit Reproduction
1. Gestation period is one month.
2. Rabbits born in male/female pairs.
3. Rabbits reach sexual maturity in one month.
4. Rabbits are always pregnant.(And never die.)
Start with one newborn pair, how many pairs will you have nmonths later?
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
The Rules for Rabbit Reproduction
1. Gestation period is one month.
2. Rabbits born in male/female pairs.
3. Rabbits reach sexual maturity in one month.
4. Rabbits are always pregnant.(And never die.)
Start with one newborn pair, how many pairs will you have nmonths later?
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
Month: 0 1 2 3 4 5Mature Pairs 0Immature Pairs 1
Total Pairs 1
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
Month: 0 1 2 3 4 5Mature Pairs 0 1Immature Pairs 1
Total Pairs 1
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
Month: 0 1 2 3 4 5Mature Pairs 0 1Immature Pairs 1 0
Total Pairs 1 1
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
Month: 0 1 2 3 4 5Mature Pairs 0 1 1Immature Pairs 1 0 1
Total Pairs 1 1 2
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
Month: 0 1 2 3 4 5Mature Pairs 0 1 1 2Immature Pairs 1 0 1 1
Total Pairs 1 1 2 3
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202
Month: 0 1 2 3 4 5Mature Pairs 0 1 1 2 3 5Immature Pairs 1 0 1 1 2 3
Total Pairs 1 1 2 3 5 8
An Unnecessary(?) Aside
The Fibonacci Numbers — 1202Month: 0 1 2 3 4 5Mature Pairs 0 1 1 2 3 5Immature Pairs 1 0 1 1 2 3
Total Pairs 1 1 2 3 5 8
Thus, Fn+1 = Fn + Fn−1.
An Answer
TheoremThe sequence xn is the Fibonacci sequence.
Example
n=6T HTT HTT
An Answer
TheoremThe sequence xn is the Fibonacci sequence.
Example
n=6THTTHH HTHTHHTTHTHH HTTTHHTTTTHH
So, x6 ≤ x5 + x4.
An Answer
TheoremThe sequence xn is the Fibonacci sequence.
Example
n=6THTTHH HTHTHHTTHTHH HTTTHHTTTTHH
So, x6 ≤ x5 + x4.
Conversely*HTTHH **HTHH*THTHH **TTHH*TTTHH
An Answer
TheoremThe sequence xn is the Fibonacci sequence.
Example
n=6THTTHH HTHTHHTTHTHH HTTTHHTTTTHH
So, x6 ≤ x5 + x4.
ConverselyTHTTHH HTHTHHTTHTHH HTTTHHTTTTHH
So, x6 ≥ x5 + x4.
More Questions
I What is the probability that the game ends after two or threeflips?
1
4+
1
8=
3
8
I What is the probability that the game ends in four or fewerflips?
1
4+
1
8+
2
16=
1
2
I What is the probability that the game ends in twenty or fewerflips?
20∑n=2
Pn ≈ .983
More Questions
I What is the probability that the game ends after two or threeflips?
1
4+
1
8=
3
8
I What is the probability that the game ends in four or fewerflips?
1
4+
1
8+
2
16=
1
2
I What is the probability that the game ends in twenty or fewerflips?
20∑n=2
Pn ≈ .983
More Questions
I What is the probability that the game ends after two or threeflips?
1
4+
1
8=
3
8
I What is the probability that the game ends in four or fewerflips?
1
4+
1
8+
2
16=
1
2
I What is the probability that the game ends in twenty or fewerflips?
20∑n=2
Pn ≈ .983
More Questions
I What is the probability that the game ends after two or threeflips?
1
4+
1
8=
3
8
I What is the probability that the game ends in four or fewerflips?
1
4+
1
8+
2
16=
1
2
I What is the probability that the game ends in twenty or fewerflips?
20∑n=2
Pn ≈ .983
More Questions
I What is the probability that the game ends after two or threeflips?
1
4+
1
8=
3
8
I What is the probability that the game ends in four or fewerflips?
1
4+
1
8+
2
16=
1
2
I What is the probability that the game ends in twenty or fewerflips?
20∑n=2
Pn ≈ .983
More Questions
I What is the probability that the game ends after two or threeflips?
1
4+
1
8=
3
8
I What is the probability that the game ends in four or fewerflips?
1
4+
1
8+
2
16=
1
2
I What is the probability that the game ends in twenty or fewerflips?
20∑n=2
Pn ≈ .983
Original Question
What is the probability that the game ever ends?
limn→∞
n∑k=2
Pn =∞∑k=0
Fk
2k+2
Does this series converge?
Original Question
What is the probability that the game ever ends?
limn→∞
n∑k=2
Pn =∞∑k=0
Fk
2k+2
Does this series converge?
Original Question
What is the probability that the game ever ends?
limn→∞
n∑k=2
Pn =∞∑k=0
Fk
2k+2
Does this series converge?
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
21
16+
1
32+
1
64+
1
128+ . . . =
1
81
32+
1
64+
1
128+ . . . =
1
161
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
321
128+ . . . =
1
64. . .
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
2
1
16+
1
32+
1
64+
1
128+ . . . =
1
81
32+
1
64+
1
128+ . . . =
1
161
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
321
128+ . . . =
1
64. . .
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
21
16+
1
32+
1
64+
1
128+ . . . =
1
8
1
32+
1
64+
1
128+ . . . =
1
161
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
321
128+ . . . =
1
64. . .
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
21
16+
1
32+
1
64+
1
128+ . . . =
1
81
32+
1
64+
1
128+ . . . =
1
16
1
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
321
128+ . . . =
1
64. . .
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
21
16+
1
32+
1
64+
1
128+ . . . =
1
81
32+
1
64+
1
128+ . . . =
1
161
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
32
1
128+ . . . =
1
64. . .
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
21
16+
1
32+
1
64+
1
128+ . . . =
1
81
32+
1
64+
1
128+ . . . =
1
161
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
321
128+ . . . =
1
64. . .
Convergence
1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . . = S
1
4+
1
8+
1
16+
1
32+
1
64+
1
128+ . . . =
1
21
16+
1
32+
1
64+
1
128+ . . . =
1
81
32+
1
64+
1
128+ . . . =
1
161
64+
1
128+ . . . =
1
321
64+
1
128+ . . . =
1
321
128+ . . . =
1
64. . .
So, S = 12 + 1
8 + 116 + 2
32 + 364 + . . ..
The Sum
Recall,
S =1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . .
We just decided,
S =1
2+
1
8+
1
16+
2
32+
3
64+
5
128+ . . .
So,
S =1
2+
1
2
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
S =1
2+
1
2S
S = 1
The Sum
Recall,
S =1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . .
We just decided,
S =1
2+
1
8+
1
16+
2
32+
3
64+
5
128+ . . .
So,
S =1
2+
1
2
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
S =1
2+
1
2S
S = 1
The Sum
Recall,
S =1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . .
We just decided,
S =1
2+
1
8+
1
16+
2
32+
3
64+
5
128+ . . .
So,
S =1
2+
1
2
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
S =1
2+
1
2S
S = 1
The Sum
Recall,
S =1
4+
1
8+
2
16+
3
32+
5
64+
8
128+ . . .
We just decided,
S =1
2+
1
8+
1
16+
2
32+
3
64+
5
128+ . . .
So,
S =1
2+
1
2
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
S =1
2+
1
2S
S = 1
The Sum
1
4+
1
8+
2
16+
3
32+
5
64+ . . . = 1
∞∑n=2
Fn−2
2n= 1
The Sum
∞∑n=2
Fn−2
2n= 1
!!!
The Sum
∞∑n=2
Fn−2
2n= 1!!!
The Miracle
∑∞n=2
Fn−22n = 1!!!
THIS IS A MIRACLE!!!
The Miracle
∑∞n=2
Fn−22n = 1!!!
THIS IS A MIRACLE!!!
The Miracle
DefinitionA miracle is the simultaneous occurrence of two or morezero-probability events.
I The series converged. (And I could prove it!)
I We could find the value to which it converged.
I That value was rational.
I That value was the simplest possible rational.
The Miracle
DefinitionA miracle is the simultaneous occurrence of two or morezero-probability events.
I The series converged.
(And I could prove it!)
I We could find the value to which it converged.
I That value was rational.
I That value was the simplest possible rational.
The Miracle
DefinitionA miracle is the simultaneous occurrence of two or morezero-probability events.
I The series converged. (And I could prove it!)
I We could find the value to which it converged.
I That value was rational.
I That value was the simplest possible rational.
The Miracle
DefinitionA miracle is the simultaneous occurrence of two or morezero-probability events.
I The series converged. (And I could prove it!)
I We could find the value to which it converged.
I That value was rational.
I That value was the simplest possible rational.
The Miracle
DefinitionA miracle is the simultaneous occurrence of two or morezero-probability events.
I The series converged. (And I could prove it!)
I We could find the value to which it converged.
I That value was rational.
I That value was the simplest possible rational.
The Miracle
DefinitionA miracle is the simultaneous occurrence of two or morezero-probability events.
I The series converged. (And I could prove it!)
I We could find the value to which it converged.
I That value was rational.
I That value was the simplest possible rational.
The Miracle
The Very Good Reason
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
x g(x) =∞∑k=0
Fkxk+1 = x + x2 + 2x3 + 3x4 + . . .
x2g(x) =∞∑k=0
Fkxk+2 = x2 + x3 + 2x4 + . . .
So,g(x)− xg(x)− x2g(x) = 1
g(x) =1
1− x − x2
The Very Good Reason
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
x g(x) =∞∑k=0
Fkxk+1 = x + x2 + 2x3 + 3x4 + . . .
x2g(x) =∞∑k=0
Fkxk+2 = x2 + x3 + 2x4 + . . .
So,g(x)− xg(x)− x2g(x) = 1
g(x) =1
1− x − x2
The Very Good Reason
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
x g(x) =∞∑k=0
Fkxk+1 = x + x2 + 2x3 + 3x4 + . . .
x2g(x) =∞∑k=0
Fkxk+2 = x2 + x3 + 2x4 + . . .
So,g(x)− xg(x)− x2g(x) = 1
g(x) =1
1− x − x2
The Very Good Reason
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
x g(x) =∞∑k=0
Fkxk+1 = x + x2 + 2x3 + 3x4 + . . .
x2g(x) =∞∑k=0
Fkxk+2 = x2 + x3 + 2x4 + . . .
So,g(x)− xg(x)− x2g(x) = 1
g(x) =1
1− x − x2
The Very Good Reason
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
x g(x) =∞∑k=0
Fkxk+1 = x + x2 + 2x3 + 3x4 + . . .
x2g(x) =∞∑k=0
Fkxk+2 = x2 + x3 + 2x4 + . . .
So,g(x)− xg(x)− x2g(x) = 1
g(x) =1
1− x − x2
The Very Good Reason
g(x) =1
1− x − x2
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
g
(1
2
)=∞∑k=0
Fk
(1
2
)k
= 1+1
2+2
(1
2
)2
+3
(1
2
)3
+5
(1
2
)4
+. . .
= 1 +1
2+
2
4+
3
8+
5
16+ . . .
= 4
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
The Very Good Reason
g(x) =1
1− x − x2
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
g
(1
2
)=∞∑k=0
Fk
(1
2
)k
= 1+1
2+2
(1
2
)2
+3
(1
2
)3
+5
(1
2
)4
+. . .
= 1 +1
2+
2
4+
3
8+
5
16+ . . .
= 4
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
The Very Good Reason
g(x) =1
1− x − x2
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
g
(1
2
)=∞∑k=0
Fk
(1
2
)k
= 1+1
2+2
(1
2
)2
+3
(1
2
)3
+5
(1
2
)4
+. . .
= 1 +1
2+
2
4+
3
8+
5
16+ . . .
= 4
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
The Very Good Reason
g(x) =1
1− x − x2
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
g
(1
2
)=∞∑k=0
Fk
(1
2
)k
= 1+1
2+2
(1
2
)2
+3
(1
2
)3
+5
(1
2
)4
+. . .
= 1 +1
2+
2
4+
3
8+
5
16+ . . .
= 4
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
The Very Good Reason
g(x) =1
1− x − x2
g(x) =∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
g
(1
2
)=∞∑k=0
Fk
(1
2
)k
= 1+1
2+2
(1
2
)2
+3
(1
2
)3
+5
(1
2
)4
+. . .
= 1 +1
2+
2
4+
3
8+
5
16+ . . .
= 4
(1
4+
1
8+
2
16+
3
32+
5
64+ . . .
Technicalities
∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
This is the Taylor series about 0 for 11−x−x2 .
The interval of convergence is(−1
λ ,1λ
), where λ = 1+
√5
2 , i.e. thegolden mean.
(NB The radius of convergence, 1λ , is approximately .618, so 1
2 iscomfortably inside.)
Technicalities
∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
This is the Taylor series about 0 for 11−x−x2 .
The interval of convergence is(−1
λ ,1λ
), where λ = 1+
√5
2 , i.e. thegolden mean.
(NB The radius of convergence, 1λ , is approximately .618, so 1
2 iscomfortably inside.)
Technicalities
∞∑k=0
Fkxk = 1 + x + 2x2 + 3x3 + 5x4 + . . .
This is the Taylor series about 0 for 11−x−x2 .
The interval of convergence is(−1
λ ,1λ
), where λ = 1+
√5
2 , i.e. thegolden mean.
(NB The radius of convergence, 1λ , is approximately .618, so 1
2 iscomfortably inside.)
Two Great Tastes That Taste Great Together
The function, g(x) = 11−x−x2 , is called the generating function for
the Fibonacci numbers.
Turning the PageRewrite g(x) using partial fractions:
1
1− x − x2=
A
1− λx+
B
1 + (λ− 1)x
Solve for A and B:
A =λ√5
B =λ− 1√
5
By the known formula for geometric series:
A
1− λx=∞∑k=0
A (λx)k
Similarly,
B
1 + (λ− 1)x=∞∑k=0
B(−1)k ((λ− 1)x)k
Turning the PageRewrite g(x) using partial fractions:
1
1− x − x2=
A
1− λx+
B
1 + (λ− 1)x
Solve for A and B:
A =λ√5
B =λ− 1√
5
By the known formula for geometric series:
A
1− λx=∞∑k=0
A (λx)k
Similarly,
B
1 + (λ− 1)x=∞∑k=0
B(−1)k ((λ− 1)x)k
Turning the PageRewrite g(x) using partial fractions:
1
1− x − x2=
A
1− λx+
B
1 + (λ− 1)x
Solve for A and B:
A =λ√5
B =λ− 1√
5
By the known formula for geometric series:
A
1− λx=∞∑k=0
A (λx)k
Similarly,
B
1 + (λ− 1)x=∞∑k=0
B(−1)k ((λ− 1)x)k
Turning the PageRewrite g(x) using partial fractions:
1
1− x − x2=
A
1− λx+
B
1 + (λ− 1)x
Solve for A and B:
A =λ√5
B =λ− 1√
5
By the known formula for geometric series:
A
1− λx=∞∑k=0
A (λx)k
Similarly,
B
1 + (λ− 1)x=∞∑k=0
B(−1)k ((λ− 1)x)k
Never in a Million Years
1
1− x − x2=∞∑k=0
A (λx)k +∞∑k=0
B(−1)k ((λ− 1)x)k
Recalling the values of A and B,
∞∑k=0
Fkxk =∞∑k=0
[λk+1
√5
+(−1)k(λ− 1)k+1
√5
]xk
Power series expansions are unique! So,
Fk =λk+1
√5
+(−1)k(λ− 1)k+1
√5
Never in a Million Years
1
1− x − x2=∞∑k=0
A (λx)k +∞∑k=0
B(−1)k ((λ− 1)x)k
Recalling the values of A and B,
∞∑k=0
Fkxk =∞∑k=0
[λk+1
√5
+(−1)k(λ− 1)k+1
√5
]xk
Power series expansions are unique! So,
Fk =λk+1
√5
+(−1)k(λ− 1)k+1
√5
Never in a Million Years
1
1− x − x2=∞∑k=0
A (λx)k +∞∑k=0
B(−1)k ((λ− 1)x)k
Recalling the values of A and B,
∞∑k=0
Fkxk =∞∑k=0
[λk+1
√5
+(−1)k(λ− 1)k+1
√5
]xk
Power series expansions are unique! So,
Fk =λk+1
√5
+(−1)k(λ− 1)k+1
√5
Be wise, generalize!
Heads Numerators Generatingand Recursion Function
One 1, 1, 1, 1, . . . 11−x
an = an−1Two 1, 1, 2, 3, . . . 1
1−x−x2an = an−1 + an−2
Three 1, 1, 2, 4, 7, . . . 11−x−x2−x3
an = an−1 + an−2 + an−3Four 1, 1, 2, 4, 8, 15, . . . 1
1−x−x2−x3−x4an = an−1 + an−2 + an−3 + an−4
And so on . . .
“Suppose you had a three-sided coin?”
Heads Numerators Generatingand Recursion Function
One 1, 2, 4, 8, . . . 11−2x
an = 2an−1Two 1, 2, 6, 16, 48, . . . 1
1−2x−2x2an = 2(an−1 + an−2)
Three 1, 2, 6, 18, 52, 152, . . . 11−2x−2x2−2x3
an = 2(an−1 + an−2 + an−3)Four 1, 2, 6, 18, 54, 160, . . . 1
1−2x−2x2−2x3−2x4an = 2(an−1 + an−2 + an−3 + an−4)
Homework: Do the n consecutive heads from an m-sided coinproblem.
Fibonacci Fractions
Do the long division problem:
10, 000
9, 899=
1.010203050813213455 . . .
What just happened?
g
(1
100
)= 1 +
1
100+
2
(100)2+
3
(100)3+ . . .
= 1 + .01 + .0002 + .000003 + . . .
g
(1
1000
)=
1, 000, 000
998, 999
Fibonacci Fractions
Do the long division problem:
10, 000
9, 899= 1.010203050813213455 . . .
What just happened?
g
(1
100
)= 1 +
1
100+
2
(100)2+
3
(100)3+ . . .
= 1 + .01 + .0002 + .000003 + . . .
g
(1
1000
)=
1, 000, 000
998, 999
Fibonacci Fractions
Do the long division problem:
10, 000
9, 899= 1.010203050813213455 . . .
What just happened?
g
(1
100
)= 1 +
1
100+
2
(100)2+
3
(100)3+ . . .
= 1 + .01 + .0002 + .000003 + . . .
g
(1
1000
)=
1, 000, 000
998, 999
Fibonacci Fractions
Do the long division problem:
10, 000
9, 899= 1.010203050813213455 . . .
What just happened?
g
(1
100
)= 1 +
1
100+
2
(100)2+
3
(100)3+ . . .
= 1 + .01 + .0002 + .000003 + . . .
g
(1
1000
)=
1, 000, 000
998, 999
Multiplying Weirdness
Recall
Fk =1√5
[λk+1 + (−1)k(λ− 1)k+1
]
Here’s a picture of those fractional parts:
Pictured is the fractional part of 1√5λk , k = 1, 2, . . . , 15.
Multiplying Weirdness
Recall
Fk =1√5
[λk+1 + (−1)k(λ− 1)k+1
]Here’s a picture of those fractional parts:
Pictured is the fractional part of 1√5λk , k = 1, 2, . . . , 15.
Your Real Homework
The picture for the fractional part of 1.5n for n = 10 . . . 80. (Thisis what we expect to see.)
Your Real Homework
Conjecture
There are not very many real numbers, γ, that have the propertythat there exists a constant C so that the sequence consisting ofthe fractional parts of Cγn, n = 1, 2, . . . has only finitely manylimit points.
Not very many = measure zero= first category= nowhere dense
Your Real Homework
Conjecture
There are not very many real numbers, γ, that have the propertythat there exists a constant C so that the sequence consisting ofthe fractional parts of Cγn, n = 1, 2, . . . has only finitely manylimit points.
Not very many = measure zero= first category= nowhere dense
Your Real Homework: Hints
The number 1 +√
2 = p is even better than the golden mean.
p1 ≈ 2.41421
p2 ≈ 5.82842
p3 ≈ 14.07106
. . .
p8 ≈ 1153.99913
p9 ≈ 2786.00035
p10 ≈ 6725.99985
Your Real Homework: Hints
p1 = 1 +√
2
p2 = 3 + 2√
2
p3 = 7 + 5√
2
. . .
p8 = 577 + 408√
2
p9 = 1393 + 985√
2
p10 = 3363 + 2378√
2
A Final Word
Thanks to the local organizers: Adam Coffman, Rob Merkovskyand Marc Lipman.
Thanks to IUPU–Fort Waye.
Thank you for your kind attention.
A Final Word
Thanks to the local organizers: Adam Coffman, Rob Merkovskyand Marc Lipman.
Thanks to IUPU–Fort Waye.
Thank you for your kind attention.
A Final Word
Thanks to the local organizers: Adam Coffman, Rob Merkovskyand Marc Lipman.
Thanks to IUPU–Fort Waye.
Thank you for your kind attention.