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Aug 6, 2010 at 17:03 comment added J. M. isn't a mathematician For the purpose of merely proving that a symmetric matrix is positive/negative definite, eigendecomposition is a bit too much effort to do. The best way is to appeal to Sylvester's inertia theorem, and compute the $LDL^T$ (modified Cholesky) decomposition ($L$ unit lower triangular; $D$ diagonal), and then check the signs of the entries of $D$. If they are all negative, the original matrix is negative definite, and similarly for proving positive-definiteness.
Mar 29, 2010 at 14:40 history edited bandini CC BY-SA 2.5
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Mar 29, 2010 at 7:07 answer added Martin Rubey timeline score: 1
Mar 29, 2010 at 2:03 vote accept bandini
Mar 29, 2010 at 0:49 answer added fedja timeline score: 18
Mar 28, 2010 at 20:46 answer added Bjorn Poonen timeline score: 8
Mar 28, 2010 at 18:55 comment added bandini I want a result for all d so computing eigenvalues is tricky. I tried computing a couple of eigenvalues and eigenvectors with maple but the expressions obtained were too messy to suggest a nice expression for eigenvalues/eigenvectors.
Mar 28, 2010 at 18:53 history edited bandini CC BY-SA 2.5
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Mar 28, 2010 at 17:50 comment added Qiaochu Yuan If I wanted to show that a matrix with entries I understood was negative-definite I would try to write down its eigenvectors explicitly. Have you tried something like that?
Mar 28, 2010 at 17:18 comment added Theo Johnson-Freyd @Bandini: You should include that motivation as a section of the original post.
Mar 28, 2010 at 17:10 comment added David E Speyer A third idea would be to show that some parts of the sum are much larger than others. In this case, I would expect the main contribution to be from $i$ and $j$ near $\min(k, d/2)$. The terms in this neighborhood are positive; maybe you can show they are dominant?
Mar 28, 2010 at 16:20 comment added bandini Induction on k is no good, as $f(d,k)-f(d,k-1)$ is negative for values of $k$ close to $d$.
Mar 28, 2010 at 16:16 comment added bandini The problem comes from wanted to show that a particular matrix is negative definite by showing that the determinant of each upper left square submatrix has sign $(-1)^k$. The expression for this is $$(-1)^k\left(\sum_{j=0}^{k}\binom{d}{j}^2 - \frac{2}{d\binom{2d}{d}}\sum_{0 \leq i,j \leq k}(j-i)^2\binom{d}{i}^2\binom{d}{j}^2\right)\,.$$ Using the identity $$\frac{d}{2}\binom{2d}{d} = \sum_{j=0}^{k}i\binom{d}{i}^2$$ we can re-write the two sums as $$\frac{d}{2}\binom{2d}{d}\left( \sum_{j=k+1}^{d}\binom{d}{j}^2 + \sum_{0 \leq i,j \leq k}(i-(j-i)^2)\binom{d}{i}^2\binom{d}{j}^2\right)$$
Mar 28, 2010 at 16:08 comment added Gerhard Paseman What happens when you try induction on k? Gerhard "Ask Me About System Design" Paseman, 2010.03.28
Mar 28, 2010 at 15:54 comment added Qiaochu Yuan There are two general techniques I'm aware of: 1) giving a combinatorial interpretation, and 2) writing the sum as a sum of squares. Could you give a little more background on the question?
Mar 28, 2010 at 15:47 history edited Reid Barton CC BY-SA 2.5
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Mar 28, 2010 at 15:46 history asked bandini CC BY-SA 2.5