vonjd
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 Apr 7 comment Prove there exists no uniform distribution on a countable and infinite set. You are right, I missed that. Thank you Apr 7 comment Prove there exists no uniform distribution on a countable and infinite set. One question concerning the second part: if $p=0$: Isn't this the case for all continuous distributions going from minus infinity to infinity that each point must have $p=0$? This would mean that no such distribution could add up to $1$... Thank you for clarifying. Nov 23 comment Taylor expansion to show that for Stratonovich stochastic calculus the chain rule takes the form of the classical one @0.5772156649... Indeed, didn't know that :-) Oct 25 comment Algorithm for finding all roots of linear Diophantine equation with finite solution space Thank you, I upvoted and accepted your answer. Well, too bad... Could you do me a favour a let the program run not for $17$ but for $16$ $a$-terms, all else being equal (i.e. starting from $16a_1$ up to $a_{16}$) - Thank you again. Oct 24 comment Algorithm for finding all roots of linear Diophantine equation with finite solution space I thought that it would be easier to use this additional condition to prune the solutions to the first equation but I didn't imagine that there were so many solutions to it... Oct 24 comment Algorithm for finding all roots of linear Diophantine equation with finite solution space I have an additional condition, but I thought it would make things more complicated: $$a_1+a_2+\dots+a_{16}+a_{17}=0$$ Oct 24 comment Algorithm for finding all roots of linear Diophantine equation with finite solution space @Abstraction: I can't imagine that there are $10^{17}$ solutions because the equation seems quite "rigid". My "feeling" is that there must be a lot less. But perhaps I am wrong. Oct 24 comment Algorithm for finding all roots of linear Diophantine equation with finite solution space @Abstraction: I have two concrete cases: $c=-200$ and $c=-40$. Oct 2 comment What is the significance of multiplying 2 Gaussian PDFs? @Justin: Thank you for your comment. When they are helpful for you it would be great if you could upvote my answer :-) Jun 16 comment Intuitive idea of the Lipschitz function @user42912: I saw that you haven't accepted an answer yet so I am happy that I could finally cut the knot :-) Maths is just amazing :-) Jun 16 comment Intuitive idea of the Lipschitz function @user42912: Does this help you? Jun 16 comment Intuitive idea of the Lipschitz function @user42912: No, you cannot: See my edit for clarification. Jun 3 comment Variance of the sums of all combinations of a set of numbers Thank you, very nice indeed! Jun 3 comment Variance of the sums of all combinations of a set of numbers Hint: If you could make a real answer out of this stub I would accept it. Jun 2 comment Variance of the sums of all combinations of a set of numbers @Did: I understand now, it was right before my eyes all the time and I didn't see it - this is very elegant indeed! Jun 2 comment Variance of the sums of all combinations of a set of numbers @Did: That's unbelievable - please tell me how did you do this that fast?!? I am totally amazed :-) Thank you!!! Please form an answer out of the comment and I will happily accept it. Jun 2 comment Variance of a special random walk @Did: You asked for the bigger context of this problem and I posted another question here: math.stackexchange.com/questions/1309230/… - This time I really tried hard to give all the necessary information, let's see if this is sufficient for your critical eye ;-) Mar 10 comment Examples for proof of geometric vs. algebraic multiplicity @Mario: Schaum's Theory & Problems of Linear Algebra Jan 14 comment Connections between the solution of simple ordinary equation, normal distribution and heat equation Do you see a connection between the heat equation and the above ode? Both have the normal distribution as a solution, is this a coincidence? Jan 14 comment Connections between the solution of simple ordinary equation, normal distribution and heat equation Thank you. Ok, I understand that but doesn't it show that the normal distribution is the simplest and in a way most natural unimodal distribution?