1,220 reputation
214
bio website
location
age
visits member for 2 years, 11 months
seen Dec 13 at 21:29

Dec
10
awarded  Caucus
Dec
8
revised Markov chain modes of convergence
edited title
Dec
8
revised Markov chain modes of convergence
deleted 2 characters in body
Dec
7
accepted Markov chain modes of convergence
Dec
6
asked Markov chain modes of convergence
Dec
5
accepted Bilinear form and cross product in hyperbolic geometry
Dec
3
revised Bilinear form and cross product in hyperbolic geometry
added 242 characters in body
Dec
3
answered Bilinear form and cross product in hyperbolic geometry
Dec
3
revised Bilinear form and cross product in hyperbolic geometry
added 274 characters in body
Dec
3
asked Bilinear form and cross product in hyperbolic geometry
Dec
2
comment Limit of quotient of two similar series
Oh, unless the limit exists, I saw that now. Hm, so it doesn't necessarily follow that the limit is 0? I remember that it was strange that it would be, even then
Dec
2
comment Limit of quotient of two similar series
How so? I thought it did at the time
Dec
2
revised Does convergence in distribution of discrete random variables with same finite support imply convergence in probability?
deleted 309 characters in body
Dec
2
accepted Does convergence in distribution of discrete random variables with same finite support imply convergence in probability?
Dec
2
revised Does convergence in distribution of discrete random variables with same finite support imply convergence in probability?
edited tags
Dec
2
revised Does convergence in distribution of discrete random variables with same finite support imply convergence in probability?
edited tags
Dec
2
asked Does convergence in distribution of discrete random variables with same finite support imply convergence in probability?
Nov
27
accepted Frechet-Hausdorff theorem reference from J.L. Kelley used in proof that each probability measure is inner regular
Nov
27
comment Frechet-Hausdorff theorem reference from J.L. Kelley used in proof that each probability measure is inner regular
I'm unfamiliar with $\varepsilon $-nets so I was wondering if I can avoid it. Thanks for the answer
Nov
27
comment Frechet-Hausdorff theorem reference from J.L. Kelley used in proof that each probability measure is inner regular
Since $\left\{ {{{\overline K }_{j,n}}:j \in \left\{ {1, \ldots ,n} \right\}} \right\}$ cover ${K_\varepsilon }$, doesn't it immediately follow that $\left\{ {{K_{j,n/2}}:j \in \left\{ {1, \ldots ,n} \right\}} \right\}$ cover ${K_\varepsilon }$ so ${K_\varepsilon }$ is totally bounded?