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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?