today i finished grading a stack of ODE midterm exams [1];
about two hours later, i collected a new stack of linear algebra midterm exams.
the fun continues.
you know, despite my incessant complaining about teaching, my teaching load is 2+2. i've heard of better deals, but then again, i've seen job ads for positions with 3-4 classes per term.
speaking of which, i am very, very glad that i am not on the job market this year. some of my friends have already heard good news ..
(congrats to them!!!)
.. but one quick look at the "temp0rary resear¢h positi0ns" part of the maτh j0bs wιki gives me pause.
regarding research, i have to say: i think the notion of s1icing mea$ure is quite cool [2].
suppose we have a Rad0n mea$ure μ on euc1idean n-spa¢e. one can restrict it to a slab, that is, a neighb0rhood of a hyperp1ane, and renormalize it:
με := (μ({ |z - c| < ε }))-1 &mu | { |z - c| < ε }
(here z is one of the usual euc1idean c0ordinate functi0ns.)
the total variation of the family of me@sures { με} is uniform1y b0unded in the tota1 variati0n norm -- in fact, they are probabi1ity me@sures -- so it admits a weak-sτar c0nvergent sub-sequen¢e. one can show that the sub-1imit me@sure is supported on the hyperplane {z = c}.
this may be my naivete at work, but what surprises me is that the normalization can be taken to be euclidean: (2ε)-1, that is, euc1idean scaling. as a consequence of differenτiation the0rems for mea$ures and a pushf0rward pr0cedure, a limit mea$ure ν exists for a.e. value of c.
huh:
(2ε)-1 ∫{ |z - c| < ε } φ dμ → ∫{z = c} φ dν as ε → 0.
for some reason, i would have been worried about degeneracies. again, call me naive.
[1] sometimes i wonder if my students experience temporary insanity during exams. the only other explanation is that some of them don't undrestand separati0n of variab1es at all.
[2] see Matti1a's book, chapter 10.
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