“Between grief and nothing I will take grief.” ― William Faulkner
Personal Interests
I am a cinephile, enjoying watching a variety of films. When I’m not immersed in mathematics, I spend lots of my free time watching movies. My all-time favorite director is Karwei Wong, who first inspired my love for movies. I have great admiration for the works of Stanley Kubrick as well, who is an absolute genius. In fact, I have a dream to be a director. My Douban page is here.
Also, I appreciate the works from Tatsuki Fujimoto (藤本树) very much although I don’t often read manga.
The following are my TOP 15:
Burning (2018), directed by Lee Chang-dong
Swallowtail Butterfly (1996), directed by Shunji Iwai
The Curious Case of Benjamin Button (2008), directed by David Fincher
Fight Club (1999), directed by David Fincher
Taxi Driver (1976), directed by Martin Scorsese
Days of Being Wild (1990), directed by Karwei Wong
Blue Velvet (1986), directed by David Lynch
American Psycho (2000), directed by Mary Harron
Thirst (2009), directed by Park Chan-wook
Fallen Angels (1995), directed by Karwei Wong
Interstellar (2014), directed by Christopher Nolan
Eyes Wide Shut (1999), directed by Stanley Kubrick
Being John Malkovich (1999), directed by Spike Jonze
Black Swan (2010), directed by Darren Aronofsky
New World (2013), directed by Park Hoon-jung
Drive My Car (2021), directed by Ryusuke Hamaguchi
Three Colours: Red (1994), directed by Krzysztof Kieślowski
My top two favorite series are:
Breaking Bad
Better Call Saul
Interesting Quizzes
Q1: For two sequence of r.v.’s (Xn) and (Yn) independent in a same probability space. If Xn→X,Yn→Y both in distribution. Do you think Xn+Yn→X+Y in distribution?
Think it carefully. You can modify the statement and make it more tricky.
Q2: How to prove any two families of o.n.b of one Hilbert space have the same cardinality?
You will find sth amazing in definition of “SUM”.
Q3: Do you really think p(θ∈(a,b))∈{0,1} for some parameter θ?
This is an essential difference between a Bayesian and a Frequenist.
Q4: For a given r.v. X, could you find a r.v. Y st. it’s i.i.d. as X?
Generally, we require the probability space to be nonatomic to guaratee the indepedence will hold. And You can search for a THM called Skorokhod’s Representation THM, which is one of my most favourite THM in Probability.
Q5: For a n.v.s E. Assume F is a close subspace of E, is there a m in F st. d(x,F)=d(x,m)?
There’s a sufficient and necessary condition for its holding.
Q6: Do you think one transition function can correspond one CTMC? What’s about one generator and one CTMC?
It first amazes me because it’s a simple example that satisfies strong Markov property but not a Feller process. (Actually, Feller property is a stronger property than merely strong Markov) If you are interested in this question, you can search for a process called Blackwell process.
Q7: What’s the dual space of R^∞ equipped with box topology?
Can you recall the definition of dual space? You can think it algebracally rather than analysisly.(hint: search for concepts: inductive limit and projective limit).