Thursday, May 12, 4:15pm, room 9204/9205
Gabor Tardos
(Renyi Institute, Budapest)
"Jim Propp's random walk simulator"
Start with a single large pile of chips at position zero. At each time each
pile is halved and half the chips are sent one unit to the left, while the
other half is moved one unit to the right. This game clearly corresponds to
the random walk on the line: after t steps the distribution of the chips is
the same as the distribution after t steps of the unbiased random walk.
But sooner or later some piles will be odd and to execute the above rule we
need to break some chips. To avoid this we send one more chips to one direction
than to the other. This preferred direction is arbitrary the first time an
odd pile appears in any position, but to balance its effects we alternate
the preferred directions in later times when the same position has an odd pile
again.
How far do we get with this process (called Propp's simulator) from the
exact process where the chips are halved (and further subdivided) as needed?
We show that the difference between the size of a pile in the two
processes is bounded by 2.3 - independent of the number of chips and the
length of the process. Further results show that maximal difference of
the number of chips in an interval growth logarithmically with the length of
the interval. Similar questions can be studied in other graphs. Grids in
higher dimensions behave similarly as the line, but the 3-regular tree is
fundamentally different: the difference of the size of a single pile in the
two processes is unbounded.
This is joint work with Joshua Cooper, Benjamin Doerr and Joel Spencer.
The Colloquium is supported by generous
contributions from the Bloomberg,
Information Builders, Inc. and qbt Systems, Inc.
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