Ex03 - Cs.ioc.ee
Ex03 - Cs.ioc.ee
Ex03 - Cs.ioc.ee
Transform your PDFs into Flipbooks and boost your revenue!
Leverage SEO-optimized Flipbooks, powerful backlinks, and multimedia content to professionally showcase your products and significantly increase your reach.
Concrete Mathematics, Lesson 3: Exercises<br />
Exercise 2.3<br />
Silvio Capobianco<br />
Revised: October 3, 2012<br />
Demonstrate your understanding of σ-notation by writing out the sums<br />
<br />
ak and <br />
ak2 .<br />
0≤k≤5<br />
0≤k 2 ≤5<br />
in full. (Watch out—the second sum is a bit tricky.)<br />
Solution. Recall that <br />
P (k) af(k) is the sum of precisely those values aj such<br />
that j = f(k) and the property P is satisfied by the index k. Then the first<br />
sum is clearly a0 + a1 + a2 + a3 + a4 + a5.<br />
And what is the second sum? It is the sum of ak2 for k satisfying 0 ≤<br />
k2 ≤ 5. But k is an integer value, and there are five integers whose square<br />
is betw<strong>ee</strong>n 0 and 5: that is, 0, 1, 2, −1, and −2. For f(x) = x2 the second<br />
sum is thus a (−2) 2 + a (−1) 2 + a02 + a12 + a22 = a0 + 2a1 + 2a4.<br />
Exercise 2.13 (as we did it)<br />
Find a closed form for n<br />
k=0 (−1)k · k 2 .<br />
Solution. The solution can be found by considering the cases n even and n<br />
odd separately. If n = 2m + 1 is odd, then<br />
n<br />
(−1) k · k 2 =<br />
k=0<br />
=<br />
m<br />
((2j) 2 − (2j + 1) 2 )<br />
j=0<br />
m<br />
(−4j − 1) :<br />
j=0<br />
1
this is the opposite of the sum of the first m + 1 terms of an arithmetic<br />
sequence with initial value a = 1 and step b = 4, therefore<br />
n<br />
(−1) k · k 2 <br />
<br />
m(m + 1)<br />
= − (m + 1) · 1 + · 4<br />
2<br />
k=0<br />
If n is even, then n + 1 is odd and<br />
n<br />
(−1) k · k 2 =<br />
k=0<br />
= −(m + 1) · (2m + 1)<br />
(2m + 1)(2m + 2)<br />
= −<br />
2<br />
n(n + 1)<br />
= − .<br />
2<br />
n+1<br />
(−1) k · k 2 + (n + 1) 2<br />
k=0<br />
(n + 1)(n + 2)<br />
= − + (n + 1)<br />
2<br />
2<br />
<br />
−n − 2 + 2n + 2<br />
= (n + 1) ·<br />
2<br />
= (n + 1) · n<br />
2 .<br />
In conclusion, n<br />
k=0 (−1)k · k 2 = (−1) n n(n + 1)/2 = (−1) n n<br />
k=0 k.<br />
Exercise 2.13 (as it was supposed to be done)<br />
Use the repertoire method to find a closed form for n<br />
k=0 (−1)k k 2 .<br />
Solution. The function g(n) = n<br />
k=0 (−1)k k 2 is a special solution of the<br />
recurrence equation<br />
R0 = α ,<br />
Rn = Rn−1 + (−1) n (β + γn + δn 2 ) for n ≥ 1<br />
for the special values α = β = γ = 0, δ = 1: the recurrence equation has the<br />
form Rn = Φ(Rn−1) + Ψ(n; β, γ, δ) with Φ(g) = g linear and Ψ(n; β, γ, δ) =<br />
(−1) n (β + γn + δn 2 ) linear in β, γ and δ. As we know that we can express<br />
Rn = A(n)α + B(n)β + C(n)γ + D(n)δ for special functions A(n), B(n),<br />
2
C(n) and D(n), if we manage to find D(n) in closed form, then that will be<br />
the closed form of g(n).<br />
Let us use the repertoire method. First of all, for α = 1, β = γ = δ = 0<br />
we find A(n) = 1 for every n ≥ 0. The next step should not be to put<br />
Rn = 1 for every n ≥ 0, as we already know that this is associate to the<br />
special values α = 1, β = γ = δ = 0. Instead, we put Rn = (−1) n , which<br />
corresponds to α = 1, β = 2, γ = δ = 0 and yields A(n) + 2B(n) = (−1) n :<br />
as we know that A(n) = 1 for every n ≥ 0, this means 2B(n) = (−1) n − 1<br />
and thus B(n) = ((−1) n − 1)/2 = −[n is odd].<br />
The third step will be to put Rn = (−1) n · n. This corresponds to α = 0<br />
and the recurrence equation<br />
(−1) n n = (−1) n−1 (n − 1) + (−1) n β + (−1) n γn<br />
= (−1) n−1 n − (−1) n−1 + (−1) n β + (−1) n γn + (−1) n δn 2 ,<br />
which is satisfied for every n ≥ 1 if and only if δ = 0, β = −1, and γ = 2.<br />
We thus get the equation −B(n) + 2C(n) = (−1) n n.<br />
The fourth step will be to put Rn = (−1) n n 2 . This corresponds to α = 0<br />
and the recurrence equation<br />
(−1) n n 2 = (−1) n−1 (n − 1) 2 + (−1) n (β + γn + δn 2 )<br />
= (−1) n−1 (n 2 − 2n + 1) + (−1) n (β + γn + δn 2 )<br />
= ((−1) n−1 + (−1) n β)<br />
+((−1) n−1 · (−2) + (−1) n γ)n<br />
+((−1) n−1 + (−1) n δ)n 2 ,<br />
which is satisfied for every n ≥ 1 if and only if β = 1, γ = −2, and δ = 2.<br />
We thus get B(n) − 2C(n) + D(n) = (−1) n n 2 .<br />
At this point, we have a full system of equations:<br />
A(n) = 1<br />
A(n) +2B(n) = (−1) n<br />
−B(n) +2C(n) = (−1) n n<br />
B(n) −2C(n) +2D(n) = (−1) n n 2<br />
from which we want to find D(n). But by adding together the third and<br />
fourth equation we immediately find 2D(n) = (−1) n · (n + n 2 ). Then g(n) =<br />
D(n) = (−1) n (n 2 + n)/2 = (−1) n Sn.<br />
3