Group testing is concerned with identifying t defective items in a set of m items, where each test reports whether a specific subset of items contains at least one defective. In non-adaptive group testing, the subsets to be tested are fixed in advance. By testing multiple items at once, the required number of tests can be made much smaller than m. In fact, for t \in O(1), the optimal number of (non-adaptive) tests is known to be \Theta(m). In this paper, we consider the problem of non-adaptive group testing in a geometric setting, where the items are points in d-dimensional Euclidean space and the tests are axis-parallel boxes (hyperrectangles). We present upper and lower bounds on the required number of tests under this geometric constraint. In contrast to the general, combinatorial case, the bounds in our geometric setting are polynomial in m. For instance, our results imply that identifying a defective pair in a set of m points in the plane always requires \Omega(m^{ 4 / 7 }) rectangle-tests , and there exist configurations of m points for which O(m^{2/3}) rectangle-tests are sufficient, whereas to identify a single defective point in the plane, \Theta(m^{1/2}) tests are always necessary and sometimes sufficient.
Group testing is concerned with identifying t defective items in a set of m items, where each test reports whether a specific subset of items contains at least one defective. In non-adaptive group testing, the subsets to be tested are fixed in advance. By testing multiple items at once, the required number of tests can be made much smaller than m. In fact, for t \in O(1), the optimal number of (non-adaptive) tests is known to be \Theta(m). In this paper, we consider the problem of non-adaptive group testing in a geometric setting, where the items are points in d-dimensional Euclidean space and the tests are axis-parallel boxes (hyperrectangles). We present upper and lower bounds on the required number of tests under this geometric constraint. In contrast to the general, combinatorial case, the bounds in our geometric setting are polynomial in m. For instance, our results imply that identifying a defective pair in a set of m points in the plane always requires \Omega(m^{ 3 / 5 }) tests , and there exist configurations of m points for which O(m^{2/3}) tests are sufficient, whereas to identify a single defective point in the plane, \Theta(m^{1/2}) tests are always necessary and sometimes sufficient.
R
4
3
R
7
5
R
rectangle-tests
tests
R
rectangle-tests
tests