@inbook{022425a814fd420d963d148c0411d345,
title = "Pseudo-mixing time of random walks",
abstract = "We introduce the notion of pseudo-mixing time of a graph, defined as the number of steps in a random walk that suffices for generating a vertex that looks random to any polynomial-time observer. Here, in addition to the tested vertex, the observer is also provided with oracle access to the incidence function of the graph. Assuming the existence of one-way functions, we show that the pseudo-mixing time of a graph can be much smaller than its mixing time. Specifically, we present bounded-degree N-vertex Cayley graphs that have pseudo-mixing time t for any t(N)=ω(loglogN). Furthermore, the vertices of these graphs can be represented by string of length 2log2N, and the incidence function of these graphs can be computed by Boolean circuits of size poly(logN).",
author = "Itai Benjamini and Oded Goldreich",
note = "We are grateful to Tsachik Gelander, Nir Avni, and Chen Meiri for sharing with us their knowledge and conjectures regarding Problem 4.",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-43662-9_20",
language = "الإنجليزيّة",
isbn = "978-3-030-43661-2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature Switzerland AG",
pages = "363--373",
editor = "Oded Goldreich",
booktitle = "Computational Complexity and Property Testing",
address = "سويسرا",
}