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seen Nov 3 at 18:48

Oct
22
comment Is it possible to make a graph eulerian by adding exactly one node?
This lemma and Michaels answer helped me out!
Oct
22
comment Is it possible to make a graph eulerian by adding exactly one node?
The handshaking lemma and your edit gave me a good clue to solve this. Thanks!
Oct
22
comment Is it possible to make a graph eulerian by adding exactly one node?
I am sorry, then I have translated it wrong. I have to work with a cycle - editing it now!
Oct
22
comment Is it possible to make a graph eulerian by adding exactly one node?
I know that a connected graph has an Eulerian path iff all vertices have even degree. I even proved that yesterday, isn't that contradicting with your mentioned property?
Oct
22
comment Find the remainder of $128^{1000}/153$.
@Rain: One can add LaTeX code between dollar signs. If you know how to write LaTeX code you will profit here ;)
Oct
20
comment Relation of (un)bounded (in)finite sets and $\min$/$\max$
(1) As mentioned in fgp's answer I will reuse your idea. Quite easy, when being reminded of this fact with $1/n$. (2) I like $A=\{1\}$ more, but yeah quite complex what I did there. (3) I'm sorry, but I didn't really get everything you wanted to explain. fgp's description was more intuitive on the first look. (4) Ok :)
Oct
20
comment Relation of (un)bounded (in)finite sets and $\min$/$\max$
(1) I do not want to use injective maps as proof though I like your idea. However I will use Brians general approach with $\forall x\in\mathbb R,x>0:\exists n\in\mathbb N:0<1/n<x$. (2) My approach is waaaaay to complex :D (3) Good idea going through all elements and comparing them with a finite number of operations. I will reuse this one. (4) Thanks, however my idea was really easy and nothing special.
Oct
19
comment Prove equivalence of conditions for a tree
Ok I will keep that in mind. Thanks for now.
Oct
19
comment Prove equivalence of conditions for a tree
I did work out extensions for both arguments based on your hints. Does the current version suffice now?
Oct
19
comment Graph Theory, complements of isomorphic graphs are isomorphic
What have you tried?
Sep
4
comment 3rd roots of unity as eigenvectors
Thanks for your efforts - just because of this I will accept your answer as it is now complete with both descriptions!
Sep
4
comment 3rd roots of unity as eigenvectors
I tried it now a few times and fail though I do use your suggested relations. My current matrix looks like $((1,0,0)^T,(1+\zeta^2,1,0)^T,(0,1+\zeta^2,-2\zeta-\zeta^2)^T)$. I assume that the rank should be 2 and therefore at least my last line is wrong :/
Sep
4
comment 3rd roots of unity as eigenvectors
I got used to write $z$ and $\lambda$ for the variable of my characteristic polynomials so I just didn't change anything to be at least consistent with my notation, thanks for the hint though :)
Sep
4
comment 3rd roots of unity as eigenvectors
I am trying to solve it with the general approach as we both mentioned but I get horrible results - is there any way I could persuade you to show me how to use the kernel approach in this particular case?
Aug
23
comment Dimensions of symmetric and skew-symmetric matrices
@RijulSaini: Thanks, but enzotib's answer seems to be easier to understand!
Aug
23
comment Dimensions of symmetric and skew-symmetric matrices
But this is no explanation why the symmetric matrices have the specified $\dim$.
Aug
23
comment Dimensions of symmetric and skew-symmetric matrices
I did edit it - thanks for the reminder!
Jul
7
comment Maximum-likelihood estimation for continuous random variable with unknown parameter
Now it looks comprehensible. Thanks for reviewing this.
Jul
7
comment Maximum-likelihood estimation for continuous random variable with unknown parameter
Sorry, but in the first equation I still cannot see why the $x_j$ from $(2\lambda x_j)$ disappeared (assuming your $\chi$ is my $\textbf 1_A(x)$). I still get a $\left(\prod\limits_{j=1}^nx_j\right)$ term left to be multiplied with the rest.
Jul
7
comment Maximum-likelihood estimation for continuous random variable with unknown parameter
Did i miss something? I thought that $\|x\|=\sqrt{\sum\limits_{j=1}^nx_j^2}$.