Problem A1 from the 2009 Putnam Exam

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Discussion Overview

The discussion revolves around a problem from the 2009 Putnam Exam concerning a real-valued function defined on the plane. The central question is whether the condition that the sum of the function values at the vertices of any square equals zero implies that the function is zero at all points in the plane. Participants explore various approaches to the problem, including matrix algebra and linear independence of equations.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant proposes a solution using a 3x3 grid of squares, leading to an 18x16 matrix of equations, suggesting that all function values must be zero.
  • Another participant challenges the proof, questioning whether the matrix is of full rank and whether the equations are truly independent.
  • A different participant notes that while the matrix can be put into echelon form, this does not guarantee it is of full rank, highlighting the importance of nontrivial equations.
  • Concerns are raised about the potential for linear dependencies among the equations, which could allow for non-zero solutions despite having many equations.
  • One participant acknowledges the complexity of proving the independence of the equations and reflects on the elegance of the official solution compared to their own approach.

Areas of Agreement / Disagreement

Participants express differing views on the validity of the original solution and the implications of the matrix rank. There is no consensus on whether the proposed method conclusively proves that f(P) = 0 for all points P in the plane.

Contextual Notes

Participants discuss the limitations of their approaches, including the need to demonstrate the independence of equations and the implications of linear dependencies. The discussion remains focused on the mathematical reasoning without resolving the underlying questions.

hello95
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Here is the problem:

Let f be a real-valued function on the plane such that
for every square ABCD in the plane, f(A) + f(B) +
f(C) +f(D) = 0. Does it follow that f(P) = 0 for all
points P in the plane?



Below is my solution:

Create a 3x3 set of boxes (where each box has equal lengths as all of the other boxes) like so:

. . . .
. . . .
. . . .
. . . .

The periods represent vertices. Now, denote the value of the function at each vertice by a(1),...,a(16).

Now, since the sum of any four vertices making a square is zero, we get 18 unique equations (each containing a linear relationship between a unique quadruple of vertices):

9 (each representing a unit box)
+
4 (each representing a box of side length 2 units)
+
1 (this equation relates the vertices of the entire 3x3 square)
+
4 (each representing a box of side length sqrt(2) units (the diagonal squares)


Writing these into a matrix, we get an 18x16 matrix mapping a vector whose coordinates are the values of the function at each vertex) to the zero vector. Since we have 18 homogeneous equations and 16 variables, all of the variables must be zero. From this we can clearly conclude that the value of the function is zero for everywhere on the plane.

Is this solution correct? I can't see any errors, I just thought it was an interesting answer (it was different from the official answer, which I've posted below) and wasn't sure if I was missing anything.

OFFICIAL ANSWER:

Yes, it does follow. Let P be any point in the plane. Let
ABCD be any square with center P. Let E; F; G; H
be the midpoints of the segments AB; BC; CD; DA,
respectively. The function f must satisfy the equations
0 = f(A) + f(B) + f(C) + f(D)
0 = f(E) + f(F) + f(G) + f(H)
0 = f(A) + f(E) + f(P) + f(H)
0 = f(B) + f(F) + f(P) + f(E)
0 = f(C) + f(G) + f(P) + f(F)
0 = f(D) + f(H) + f(P) + f(G):
If we add the last four equations, then subtract the first
equation and twice the second equation, we obtain 0 =
4f(P), whence f(P) = 0.
 
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I don't think you have satisfactorily proven that your 18x16 matrix is of full rank
 
Well each entry will be 1 or 0, and each combination of 1s and 0s in each row will be different, because each square is unique. There will be 4 1's in each row. Wouldn't that imply that you cuold put the matrix into eschelon form, solving for each a(i)?
 
I apologize if I'm wrong, I haven't done much work with matrix algebra as I have only taken theory-based linear algebra (Axler).
 
Here we go: "A homogeneous system Ax = 0 has only the zero solution if Ax = 0 has at least as many nontrivial equations as variables."
 
That's from page 67 of Multivariable mathematics (4th edition) by Williamson and Trotter.
 
The key is nontrivial. If your equations are x+y+z=0, x+y+z=0, x+y+z=0, then you haven't really gotten very far!

You can always put a matrix into echelon form, but that doesn't mean it's a full rank echelon form matrix (for example the bottom four rows might all be zeros and you have four free degrees of freedom from which to pick your solution)

Well each entry will be 1 or 0, and each combination of 1s and 0s in each row will be different, because each square is unique. There will be 4 1's in each row.

This is pretty close to what you want. However it's not quite enough- suppose I have seven variables, x1,...,x7 and every equation of the form
x_{i_1}+x_{i_2} + x_{i_3} + x_{i_4} = 0
where i_1,i_2,i_3,i_4 \leq 6

are distinct in each equation. I have 6 choose 4 = 15 equations, and 7 variables, and none of my equations are actual duplicates of other equations. However, vectors (0,0,0,0,0,0,x) for x any real number is a solution to these equations. The problem is that there are linear dependencies amongst my equations
 
Ah, I see what you're saying. Thank you for the response, I guess my solution wasn't as elegant as I had thought haha. Even if I was able to show that the equations were nontrivial it would end up being a lot more complex than the official solution.
 

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