Compute the values: D2-2D1, D3-3D2, D4-4D3, D5-5D4, …, D10-10D9, where the D’s are the derangements values described on P.335. What is the pattern?

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Chapter2: Second-order Linear Odes
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  1. Compute the values: D2-2D1, D3-3D2, D4-4D3, D5-5D4, …, D10-10D9, where the D’s are the derangements values described on P.335. What is the pattern?
8.1 Examples Defined by Recurrence
Equations
Example 8.1.1:
Imagine a party where couples arrive together, but at the end
of the evening, every person leaves with a new partner. For each n
e P, let D, denote the number of different ways n couples can be
Derangements
"deranged" - that is, rearranged in couples so no one is paired
with the person they arrived with.
// one couple cannot be deranged.
/| 3 one and only one way to derange two couples.
// If the couples arrive as Aa, Bb, and Cc,
// then A would be paired with b or c.
//
Then D1 = 0
D2 = 1
D3 = 2
If A is paired with b, C must be paired with a (not c),
//
If A is paired with c, B must be paired with a (not b),
//
and then B with c.
//
and then C with b.
// How big are D
and D
D
5'
? How can we calculate
10
4'
them? Is there a formula?
Let's develop a strategy for counting derangements when n
>= 4. Suppose the n women are A,, A2, A3, ... An,
and each Aj
arrives with man a ¡.
Woman A, may be "re-paired" with any of the n - 1 men a, or
az or ... or a ni; let's say she's paired with a k where 2 <= k <= n.
Now let's consider a k's original partner, woman Ak: she might
take a, or she might refuse a, and take someone else.
If A, is paired with a kand A kis paired with a,
there are n – 2
couples left to derange, and that may be done in exactly Dn-2
different ways.
If A, is paired with a k but A k refuses a,, we could pretend that
Akand a, arrived together, so now, there aren - 1 couples left to
derange which may be done in exactly Dn-1 different ways.
For each of the n – 1 men that A, might choose, there are
{Dn-2 + Dn-1} different ways to complete the derangement.
Therefore, when n >= 4,
Dn = (n – 1) {Dn-2 + Dn-1} ·
(8.1.2)
// This also applies when n = 3.
// Equation 8.1.2 is an example of a second-order recurrence
equation,
// where the generic entry is expressed in terms the previous
%3D
two entries.
Using Eq. 8.1.2 together with the values of D, and
we can
D2'
evaluate Dn for any value of n:
// in
principle
D3 = (3 – 1) {D2 + D¡} = 2{1+ 0}
2
||
Transcribed Image Text:8.1 Examples Defined by Recurrence Equations Example 8.1.1: Imagine a party where couples arrive together, but at the end of the evening, every person leaves with a new partner. For each n e P, let D, denote the number of different ways n couples can be Derangements "deranged" - that is, rearranged in couples so no one is paired with the person they arrived with. // one couple cannot be deranged. /| 3 one and only one way to derange two couples. // If the couples arrive as Aa, Bb, and Cc, // then A would be paired with b or c. // Then D1 = 0 D2 = 1 D3 = 2 If A is paired with b, C must be paired with a (not c), // If A is paired with c, B must be paired with a (not b), // and then B with c. // and then C with b. // How big are D and D D 5' ? How can we calculate 10 4' them? Is there a formula? Let's develop a strategy for counting derangements when n >= 4. Suppose the n women are A,, A2, A3, ... An, and each Aj arrives with man a ¡. Woman A, may be "re-paired" with any of the n - 1 men a, or az or ... or a ni; let's say she's paired with a k where 2 <= k <= n. Now let's consider a k's original partner, woman Ak: she might take a, or she might refuse a, and take someone else. If A, is paired with a kand A kis paired with a, there are n – 2 couples left to derange, and that may be done in exactly Dn-2 different ways. If A, is paired with a k but A k refuses a,, we could pretend that Akand a, arrived together, so now, there aren - 1 couples left to derange which may be done in exactly Dn-1 different ways. For each of the n – 1 men that A, might choose, there are {Dn-2 + Dn-1} different ways to complete the derangement. Therefore, when n >= 4, Dn = (n – 1) {Dn-2 + Dn-1} · (8.1.2) // This also applies when n = 3. // Equation 8.1.2 is an example of a second-order recurrence equation, // where the generic entry is expressed in terms the previous %3D two entries. Using Eq. 8.1.2 together with the values of D, and we can D2' evaluate Dn for any value of n: // in principle D3 = (3 – 1) {D2 + D¡} = 2{1+ 0} 2 ||
// where the generic entry is expressed in terms the previous
two entries.
Using Eq. 8.1.2 together with the values of D, and D2,
// in
we can
Pg 335
evaluate D, for any value of n:
principle
D3 = (3 – 1) {D2 + D¡} = 2{1 + 0}
D4 = (4 – 1) {D3 + D2} = 3 {2 + 1}
D5 = (5 – 1) {D4 + D3} = 4 {9 + 2}
(6 – 1) {D5 + D4} = 5 {44 + 9}
D7 = (7 – 1) {D6 + D5} = 6 {265 + 44}
2
9.
44
D6
265
1 854
%3D
D3 = (8 – 1) {D7 + D6} = 7{1854 + 265}
14 833
D9 = (9 – 1) {D8 + D7} = 8 {14833 + 1854}
133 496
%3|
D10 = (10 – 1){D9 + Dg} = 9{133496 + 14833}
1 334 961
%D
// It's strange that 1 334 961 = 10 × (133 496) + 1. Or is it?
// Is there a (convenient and compact) formula for Dn that we
can use to calculate
// its values?
The sequence on P defined by Sn = A x n! where A is any real
number satisfies the recurrence equation (8.1.2). If n >= 3 then
: (п — 1){А (п — 2)! + A (п — 1)!}
= (n – 1) A (n – 2)! {1 + [n – 1]}
= A (n – 1) (n – 2)! {n}
= A x n!
(n – 1) {S„-2 + Sn-1}
= Sµ.
// But will this "formula" apply when n = 1 or n = 2?
// Does there exist a real number A such that D,= A(n!) when
n = 1 or n = 2?
if o = D, = A(1!), then A must equal o,
if 1= D2 = A(2!), then A must equal 2.
// No, because
// and
We can however use this formula to prove that D, is O(n!) by
proving
Theorem 8.1.1:
For all n >= 2, (1/3) n ! <= Dn<= (1/2) n!
Consider the table of values
n (1/3) n!
Dn
(1/2) n!
1 1/3
1/2
2 2/3
1 = 2/2
3 6/3 = 2
3 = 6/2
4 24/3 = 8
9
12 = 24/2
5 120/3 = 40
44
60 = 120/2
6 720/3 = 240 265 360 = 720/2
Proof.
I| || || || ||||
Transcribed Image Text:// where the generic entry is expressed in terms the previous two entries. Using Eq. 8.1.2 together with the values of D, and D2, // in we can Pg 335 evaluate D, for any value of n: principle D3 = (3 – 1) {D2 + D¡} = 2{1 + 0} D4 = (4 – 1) {D3 + D2} = 3 {2 + 1} D5 = (5 – 1) {D4 + D3} = 4 {9 + 2} (6 – 1) {D5 + D4} = 5 {44 + 9} D7 = (7 – 1) {D6 + D5} = 6 {265 + 44} 2 9. 44 D6 265 1 854 %3D D3 = (8 – 1) {D7 + D6} = 7{1854 + 265} 14 833 D9 = (9 – 1) {D8 + D7} = 8 {14833 + 1854} 133 496 %3| D10 = (10 – 1){D9 + Dg} = 9{133496 + 14833} 1 334 961 %D // It's strange that 1 334 961 = 10 × (133 496) + 1. Or is it? // Is there a (convenient and compact) formula for Dn that we can use to calculate // its values? The sequence on P defined by Sn = A x n! where A is any real number satisfies the recurrence equation (8.1.2). If n >= 3 then : (п — 1){А (п — 2)! + A (п — 1)!} = (n – 1) A (n – 2)! {1 + [n – 1]} = A (n – 1) (n – 2)! {n} = A x n! (n – 1) {S„-2 + Sn-1} = Sµ. // But will this "formula" apply when n = 1 or n = 2? // Does there exist a real number A such that D,= A(n!) when n = 1 or n = 2? if o = D, = A(1!), then A must equal o, if 1= D2 = A(2!), then A must equal 2. // No, because // and We can however use this formula to prove that D, is O(n!) by proving Theorem 8.1.1: For all n >= 2, (1/3) n ! <= Dn<= (1/2) n! Consider the table of values n (1/3) n! Dn (1/2) n! 1 1/3 1/2 2 2/3 1 = 2/2 3 6/3 = 2 3 = 6/2 4 24/3 = 8 9 12 = 24/2 5 120/3 = 40 44 60 = 120/2 6 720/3 = 240 265 360 = 720/2 Proof. I| || || || ||||
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