While March 2016 has been rather low in terms of property testing, we did see a new paper appear:
A Note on Tolerant Testing with One-Sided Error, by Roei Tell (ECCC). A natural generalization of property testing is that of tolerant testing, as introduced by Parnas, Ron, and Rubinfeld [PRR06]: where the tester still must reject all objects that are far from satisfying the property, but now also has to accept those that are sufficiently close (all that with constant probability). In this work is considered the question of one-sidedness of tolerant testers: namely, is it possible to only err on the farness side, but accept close output with probability one? As it turns out, it is not — the author shows that any such one-sided tolerant tester, for basically any property of interest, must essentially query the whole input…
Universal Locally Testable Codes, by Oded Goldreich and Tom Gur (ECCC). In this work, the authors introduce and initiate the study of an extension of locally testable codes they name universal locally testable codes (universal-LTC). At a high-level, a universal-LTC (with regard to a family of functions \(\cal F\)) is a locally testable code \(C\) “for which the restrictions (subcodes) of \(C\) by functions in \(\cal F\) are also locally testable.” In other terms, one is then able to test efficiently, given an encoded string \(w\), if (i) \(w=C(x)\) for some \(x\); but also, for any \(f\in \cal F\), if (ii) \(w=C(x)\) for some \(x\) that satisfies \(f(x)=1\).
Edit (04/06): added the work of Goldreich and Gur, which was overlooked in our first version of the article.
I believe that my work with Tom Gur,
titled “Universal Locally Testable Codes”
(see http://eccc-preview.hpi-web.de/report/2016/042/),
also qualifies as related to property testing.
Thank you for pointing it out — the article has been updated.