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Jun 3, 2017 at 21:34 comment added fedja @FedorPetrov Agreed 100%. However you will be surprised to learn how many people see it from one perspective but not from the other. ;-)
Jun 3, 2017 at 15:25 comment added Fedor Petrov @fedja it is essentially the same solution, both are based on the summation of $\det(A+X)\prod x_i$ over all diagonal matrices $X=diag(x_1,\dots,x_n)$, $x_i=\pm 1$. If we expand the determinant in $x_i$'s and sum up each term, only the term $\prod x_i$ survives. You may call it Combinatorial Nullstellensatz or Fourier transform of a function on the cube.
May 27, 2017 at 19:25 comment added Christian Remling One doesn't really need any fancy tools to see that $p(x)=\sum c_{\alpha}x^{\alpha}$, with $\alpha_j=0$ or $1$ for all multi-indices, can't be identically zero on $x_j=\pm 1$ unless it's the zero polynomial. Just write $p=x_nq+r$ with $q,r$ polynomials of this type in the first $n-1$ variables, take $x_n=\pm 1$, and add and subtract. (This is another induction, so if these are declared uncouth, then this won't convince.)
May 27, 2017 at 16:08 comment added Lewi_Sol Can you expand on this idea and put as an answer? It is not so clear.
May 27, 2017 at 14:00 comment added fedja Another instructive solution: if the Fourier expansion of the function $f$ on the discrete cube $\{-1,1\}^n$ (with respect to the standard basis $X_I=\prod_{i\in I}x_i$, $I\subset\{1,\dots,n\}$ is non-trivial, then $f$ is not identically zero. Not that one is supposed to know such methods on the entrance exams (except, perhaps, if you are in France and try to go to ENS Paris...)
May 27, 2017 at 7:43 comment added Seva Great solution!
May 27, 2017 at 5:28 history answered Gjergji Zaimi CC BY-SA 3.0