- Series
- Stochastics Seminar
- Time
- Thursday, November 5, 2015 - 3:05pm for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Christos Saraoglou – Kent State University
- Organizer
- Christian Houdré
We prove that the log-Brunn-Minkowski inequality (log-BMI) for the
Lebesgue measure in dimension n
would imply the log-BMI and, therefore, the B-conjecture for any even
log-concave measure in dimension n. As a consequence,
we prove the log-BMI and the B-conjecture for any even log-concave
measure,
in the plane. Moreover, we prove that the log-BMI
reduces to the following: For each dimension n, there is a density
f_n,
which satisfies an integrability assumption, so that the
log-BMI holds for parallelepipeds with parallel facets, for the density
f_n. As byproduct of our methods, we study possible
log-concavity of the function t -> |(K+_p\cdot e^tL)^{\circ}|,
where
p\geq 1 and K, L are symmetric convex bodies,
which we are able to prove in some instances and as a further
application,
we confirm the variance conjecture in a special class of convex bodies.
Finally, we establish
a non-trivial dual form of the log-BMI.