I should stop procrastinating on finals studying. Anyway, here are some nice problems from Putnam seminar this semester... (A lot of these are probably Putnam problems even if I didn't label them as such.)
1. (MIT Problem Solving Seminar, Congruences and Divisibility) Consider
![$f(x) = a_0+a_1x+\cdots\in\mathbb{Z}[[x]]$](//latex.artofproblemsolving.com/9/8/f/98fc63aef1bb3cafef1cdb5a6955dc61e83d7204.png)
with
. Suppose that
. Prove or disprove that

for all
.
Click to reveal hidden textSee my
Math StackExchange post for a solution and questions about potential alternative approaches.
2. (MIT Problem Solving Seminar, Abstract Algebra) Let

be a noncommutative ring with identity. Show that if an element

has more than one right inverse, then

has infinitely many right inverses.
Click to reveal hidden text%
http://math.stackexchange.com/questions/156238/kaplanskys-theorem-of-infinitely-many-right-inverses-in-monoids
%
http://www.jams.or.jp/scm/contents/Vol-9-5/9-48.pdf
Assume for the sake of contradiction that

has finitely many right inverses, which form the set
, and fix some
. If

denotes
, then

has the same (finite) size as
, which has at least two elements by assumption.
It's clear that
. In particular,
. But
, so

and we deduce
.
Now
. Yet

implies
, whence
![\[ 0 = (1-y_0x)(1-y_0x) = 1-y_0x-y_0x+y_0xy_0x = 1-y_0x-y_0x+y_0 1 x = 1-y_0x. \]](//latex.artofproblemsolving.com/5/a/b/5ab13dae46c2bdc4ba2130e4c1e8759a17b91045.png)
Finally, we see that
, so

has size
, contradiction.
%we might try to prove that

from
.
3. (MIT Problem Solving Seminar, ``Hidden'' Independence and Uniformity) A
snake on the

chessboard is a nonempty subset

of the squares of the board obtained as follows: Start at one of the squares and continue walking one step up or to the right, stopping at any time. The squares visited are the squares of the snake. Find the total number of ways to cover an

chessboard with disjoint snakes.
Click to reveal hidden textPlace the square in the lattice grid

in the Cartesian plane.
First suppose we have a snake partition. For each point
, define

as follows: if

is end of a snake, then set
; otherwise, let

be the next point in the snake (either

or
).
Then the only restriction on

is that

for any two points

along the same ``main'' diagonal. Indeed, for any such

with

for all
, we get a unique snake partition by drawing snakes according to the rules
. (The snakes will start at the non-invertible points of
.)
Now let

denote the number of valid
, restricted to the diagonal
, for
. Then the total number of snake partitions of

is just
.
Clearly
, and by symmetry (consider rotating everything by
),

for
. Now fix
, and represent

by the set of

and

tiles corresponding to
, for
, and

for any non-invertible square with
. Then the restriction for valid

is equivalent to having no two of these tiles intersect. Furthermore, any tile representation of

(not necessarily valid) covers the points with

as well as both the invertible and non-invertiible points with
, so

is valid \ifff{} it corresponds to a domino tiling of the union of the
- and
-main diagonals!
It immediately follows that
, the number of ways to tile a

grid with

and

blocks. We conclude that the number of snake partitions of

is
.
\textbf{Comment.} We can think of

as really just drawing arrows between successive points in the snakes.
\textbf{Comment.} We can easily generalize to

chessboards. When
, there will just be a few main diagonals of the same length in the middle, but we still get a product of Fibonacci numbers.
4. (MIT Problem Solving Seminar, Generating Functions; Putnam 1948 A6) Show that
Click to reveal hidden textThis is probably trivialized by
Wilf-Zeilberger pairs, but I haven't yet taken the time to understand how those work.
Let
. Then
, so differentiating yields
, or
.
The rest is standard. We have
. From

and
, we conclude that
![\[ G(x)\sqrt{1-x^2} = \int_0^x \frac{1}{1-t^2}\sqrt{1-t^2}\;dt = \sin^{-1}{x}, \]](//latex.artofproblemsolving.com/7/a/4/7a469e8f2d208e9b3cfaf2b3daef35114e565b21.png)
as desired.
\textbf{Comment.} Since
![\[ (\sin^{-1}{x})' = (1-x^2)^{-1/2} = \sum_{k\ge0}\binom{-1/2}{k}(-x^2)^k = \sum_{k\ge0}(-1)^k\frac{(2k-1)!!}{2^k k!}(-1)^k x^{2k} = \sum_{k\ge0}\frac{(2k-1)!!}{2^k k!}x^{2k}, \]](//latex.artofproblemsolving.com/1/d/f/1dfeb788fd8faa485b583c469bf305f696b84641.png)
and
, we have
![\[ \sin^{-1}{x}(1-x^2)^{-1/2} = \sum_{a\ge0}\frac{(2a-1)!!}{(2a+1)2^a a!}x^{2a+1}\sum_{b\ge0}\frac{(2b-1)!!}{2^b b!}x^{2b} = \sum_{n\ge0}x^{2n+1}\sum_{a+b=n}\frac{(2a-1)!!(2b-1)!!}{2^n(2a+1)a!b!}. \]](//latex.artofproblemsolving.com/b/5/7/b57cee32944d98afb39dbda4098b487d127907ca.png)
Since
, this problem establishes the identity
.
5. (MIT Problem Solving Seminar, Probability) Choose

points

at random from the unit interval
. Let

be the probability that

for all
. Compute the generating function
.
Click to reveal hidden textDefine
, so that

is a polynomial with constant term
. Then

and for
,
. (We may vacuously define
.)
Thus we may uniquely determine

from

(for
) using

and
. Differentiating once more (for
), we get
.
If
, then

suggests trying

for some (formal) power series
. Now from
, we get
, and from

we get
, yielding
.
All of this is reversible, so

must equal
, and we conclude
.
6. (MIT Problem Solving Seminar, Analysis; Putnam 1996 B6) Let

be the vertices of a convex polygon which contains the origin in its interior. Prove that there exist positive reals

such that
.
Click to reveal hidden textLet

denote our convex
-gon. Define
.
Fix
, and observe that if

for some
, then

for each
. But because

lies in the \emph{interior}
, there exists

(indpendent of
) such that each of the four points

lies in

as well, so by taking suitable weighted geometric means of the
, we obtain

and
. Thus

and
.
Yet by the extreme value theorem,

attains a minimum on the compact set
, say at
, where

means

cannot lie on the boundary of
. Thus
, a differentiable function on
, has a local (actually, a global) minimum at
, and we conclude that
, so we're done.
7. (MIT Problem Solving Seminar, Analysis; Putnam 1999 A5) Prove that there is a constant

such that for every polynomial

of degree
,
.
Click to reveal hidden text\begin{lem*}
For fixed
$z\in\C$ and
, the set

of
![$x\in[-1,1]$](//latex.artofproblemsolving.com/5/2/e/52ebe6de79419fad5a4cc599c58421f8140a8e18.png)
satisfying

is contained in an interval of length at most
.
\end{lem*}
\begin{proof}
If
, then
, so
. Clearly we have no solutions for
.
If
, 
must lie in an interval of length
.
Otherwise, if
, then

has magnitude at least

and the same sign as
, and must therefore lie in either
![$[-1,-(1-\epsilon)]$](//latex.artofproblemsolving.com/0/6/3/06351d9c5991c9e9fbcda93c0f7ca48e28924c59.png)
or
, which both have length
.
\end{proof}
Let

and write

for some complex numbers
. Let
. By the lemma, the set of
![$x\in[-1,1]$](//latex.artofproblemsolving.com/5/2/e/52ebe6de79419fad5a4cc599c58421f8140a8e18.png)
satisfying

lies in a union of intervals of total length at most
, so
, allowing us to take
.
8. (MIT Problem Solving Seminar, Recurrences; Putnam 1997 A6) For a positive integer

and any real number
, define

recursively by
,
, and for
, ![\[ x_{k+2} = \frac{cx_{k+1} - (n-k)x_k}{k+1}. \]](//latex.artofproblemsolving.com/d/8/d/d8dc064aea34a798099ffe3046c4a148da1fe477.png)
Fix

and then take

to be the largest value for which
. Find

in terms of

and
,
.
Click to reveal hidden textFix
, and suppose
; then
, so

for
.
Let
, so
, and
![\[ (c-(n-1)t)f(t) = \sum_{k\ge0}cx_{k+1}t^k - (n-1)x_k t^k = \sum_{k\ge0} (k+1)x_{k+2}t^k - (k-1)x_k t^k = (1 - t^2)f'(t). \]](//latex.artofproblemsolving.com/9/5/9/959c00b484ca60e4523ca022ab77ec92c624c6dc.png)
But if

is a root of

with multiplicity
, then it's a root of

with multiplicity
, and so
. Writing

(since
), we obtain
. Hence
, with equality \ifff
, so when

is maximal (such that
), we have
, so

for
.
9. (MIT Problem Solving Seminar, Polynomials; Putnam 1956 B7?) The nonconstant polynomials

and

with complex coefficients have the same set of numbers for their zeros but possibly different multiplicities. The same is true of the polynomials

and
. Prove that
.
Click to reveal hidden text%(On the original Exam, the assumption that

and

are nonconstant was inadvertently omitted.)
%\item Let

be the set of roots (without multiplicity) of a polynomial
. Are there two distinct polynomials
![$P,Q\in\mathbb{C}[x]$](//latex.artofproblemsolving.com/b/1/2/b127fe9cd6bbd70dcc23ac527bea2eea34e95fee.png)
such that

and
.
Go by contradiction and suppose for some

and complex
,
![\[ P(x) = c(x-b_1)^{s_1}\cdots(x-b_n)^{s_n};\qquad P(x)+1 = c(x-a_1)^{r_1} \cdots (x-a_m)^{r_m} \]](//latex.artofproblemsolving.com/7/b/1/7b17a2a207df436c1515d85f09edd843cda02fe9.png)
and
![\[ Q(x) = d(x-b_1)^{u_1} \cdots (x-b_n)^{u_n};\qquad Q(x)+1 = d(x-a_1)^{t_1} \cdots (x-a_m)^{t_m} \]](//latex.artofproblemsolving.com/1/7/7/177a79b36bc85b7dfbd269d576b13743ae721ed8.png)
for constants

and positive integers

with

and
.
The sets

and

must be disjoint
(
cannot share any roots), so differentiating

shows that
![\[ (x-b_1)^{s_1-1}\cdots(x-b_n)^{s_n-1}(x-a_1)^{r_1-1}\cdots(x-a_m)^{r_m-1} \mid P' = (P+1)'. \]](//latex.artofproblemsolving.com/9/c/e/9ce2661a48b7b0f4faa63808e7418be6fe329196.png)
Thus
, and similarly we have
.
On the other hand,
![\[ (x-b_1)\cdots(x-b_n)(x-a_1)\cdots(x-a_m)\mid P-Q = (P+1)-(Q+1) \ne0 \]](//latex.artofproblemsolving.com/1/9/9/1994327ea3ef95e81d01b8882157a519030638e7.png)
forces
, a clear contradiction.
%Equivalent wording by Alex Zhu: Let

and

be the sets of roots of

and
, respectively, and let
. Then

has at least

roots from

and at least

from
This post has been edited 11 times. Last edited by math154, Dec 15, 2013, 8:45 AM