Disjunct matrix

In mathematics, a logical matrix may be described as d-disjunct and/or d-separable. These concepts play a pivotal role in the mathematical area of non-adaptive group testing.

In the mathematical literature, d-disjunct matrices may also be called super-imposed codes or d-cover-free families.

According to Chen and Hwang (2006),

  • A matrix is said to be d-separable if no two sets of d columns have the same boolean sum.
  • A matrix is said to be \overline{d}-separable (that's d with an overline) if no two sets of d-or-fewer columns have the same boolean sum.
  • A matrix is said to be d-disjunct if no set of d columns has a boolean sum which is a superset of any other single column.

The following relationships are "well-known":

  • Every \overline{d+1}-separable matrix is also d-disjunct.
  • Every d-disjunct matrix is also \overline{d}-separable.
  • Every \overline{d}-separable matrix is also d-separable (by definition).

Concrete examples

The following 6\times 8 matrix is 2-separable, because each pair of columns has a distinct sum. For example, the boolean sum (that is, the bitwise OR) of the first two columns is 110000\or 001100 = 111100; that sum is not attainable as the sum of any other pair of columns in the matrix.

However, this matrix is not 3-separable, because the sum of columns 1, 2, and 3 (namely 111111) equals the sum of columns 1, 4, and 5.

This matrix is also not \overline{2}-separable, because the sum of columns 1 and 8 (namely 110000) equals the sum of column 1 alone. In fact, no matrix with an all-zero column can possibly be \overline{d}-separable for any d\ge 1.

\quad\left[

\begin{array}{cccccccc}

1 & 0 & 0 & 1 & 1 & 0 & 0 & 0 \\

1 & 0 & 0 & 0 & 0 & 1 & 1 & 0 \\

0 & 1 & 0 & 1 & 0 & 1 & 0 & 0 \\

0 & 1 & 0 & 0 & 1 & 0 & 1 & 0 \\

0 & 0 & 1 & 0 & 1 & 1 & 0 & 0 \\

0 & 0 & 1 & 1 & 0 & 0 & 1 & 0 \\

\end{array}

\right]

The following 6\times 4 matrix is \overline{3}-separable (and thus 2-disjunct) but not 3-disjunct.

\quad\left[

\begin{array}{cccc}

1 & 0 & 0 & 1 \\

1 & 0 & 1 & 0 \\

0 & 1 & 1 & 0 \\

0 & 1 & 0 & 0 \\

0 & 0 & 1 & 0 \\

0 & 0 & 0 & 1 \\

\end{array}

\right]

There are 15 possible ways to choose 3-or-fewer columns from this matrix, and each choice leads to a different boolean sum:

class="wikitable"
columns

! boolean sum

!

! columns

! boolean sum

none

| 000000

|

| 2,3

| 011110

1

| 110000

|

| 2,4

| 101101

2

| 001100

|

| 3,4

| 111011

3

| 011010

|

| 1,2,3

| 111110

4

| 100001

|

| 1,2,4

| 111101

1,2

| 111100

|

| 1,3,4

| 111011

1,3

| 111010

|

| 2,3,4

| 111111

1,4

| 110001

|

|

|

However, the sum of columns 2, 3, and 4 (namely 111111) is a superset of column 1 (namely 110000), which means that this matrix is not 3-disjunct.

Application of ''d''-separability to group testing

{{main|Group testing}}

The non-adaptive group testing problem postulates that we have a test which can tell us, for any set of items, whether that set contains a defective item. We are asked to come up with a series of groupings that can exactly identify all the defective items in a batch of n total items, some d of which are defective.

A d-separable matrix with t rows and n columns concisely describes how to use t tests to find the defective items in a batch of n, where the number of defective items is known to be exactly d.

A d-disjunct matrix (or, more generally, any \overline{d}-separable matrix) with t rows and n columns concisely describes how to use t tests to find the defective items in a batch of n, where the number of defective items is known to be no more than d.

Practical concerns and published results

For a given n and d, the number of rows t in the smallest d-separable t\times n matrix may (according to current knowledge) be smaller than the number of rows t in the smallest d-disjunct t\times n matrix, but in asymptotically they are within a constant factor of each other. Additionally, if the matrix is to be used for practical testing, some algorithm is needed that can "decode" a test result (that is, a boolean sum such as 111100) into the indices of the defective items (that is, the unique set of columns that produce that boolean sum). For arbitrary d-disjunct matrices, polynomial-time decoding algorithms are known; the naïve algorithm is O(nt). For arbitrary d-separable but non-d-disjunct matrices, the best known decoding algorithms are exponential-time.

Porat and Rothschild (2008) present a deterministic O(nt)-time algorithm for constructing a d-disjoint matrix with n columns and \Theta(d^2\ln n) rows.

See also

References

{{cite journal |author1=Hong-Bin Chen |author2=Frank Hwang |date=2006-12-21 |title= Exploring the missing link among d-separable, {{overline|d}}-separable and d-disjunct matrices|journal=Discrete Applied Mathematics |volume=155 |issue=5 |pages=662–664 |doi=10.1016/j.dam.2006.10.009 | doi-access=free |citeseerx=10.1.1.848.5161 |mr = 2303978

}}

{{cite journal

| last1 = De Bonis | first1 = Annalisa

| last2 = Vaccaro | first2 = Ugo

| doi = 10.1016/S0304-3975(03)00281-0

| issue = 1–3

| journal = Theoretical Computer Science

| mr = 2000175

| pages = 223–243

| title = Constructions of generalized superimposed codes with applications to group testing and conflict resolution in multiple access channels

| volume = 306

| year = 2003}}

{{cite journal |author1=Paul Erdős |author2=Péter Frankl |author3=Zoltán Füredi |title=Families of finite sets in which no set is covered by the union of r others |journal=Israel Journal of Mathematics |volume=51 |issue=1–2 |pages=79–89 |year=1985 |issn=0021-2172|doi=10.1007/BF02772959 | doi-access=free |url=http://bsmath.hu/~p_erdos/1985-14.pdf}}

{{cite journal |author1=Piotr Indyk |author2=Hung Q. Ngo |author3=Atri Rudra |title=Efficiently Decodable Non-adaptive Group Testing |journal=Proceedings of the 21st ACM-SIAM Symposium on Discrete Algorithms (SODA) |year=2010 |issn=1071-9040 |hdl=1721.1/63167}}

{{cite journal |author1=Ely Porat |author2=Amir Rothschild |title=Explicit Non-Adaptive Combinatorial Group Testing Schemes |journal=Proceedings of the 35th International Colloquium on Automata, Languages and Programming (ICALP) |pages=748–759 |year=2008 |arxiv=0712.3876 |bibcode=2007arXiv0712.3876P }}

Further reading

  • Atri Rudra's book on Error Correcting Codes: Combinatorics, Algorithms, and Applications (Spring 201), Chapter [http://www.cse.buffalo.edu/~atri/courses/coding-theory/book/chapters/chap20.pdf 17] {{Webarchive|url=https://web.archive.org/web/20150402093930/http://www.cse.buffalo.edu/~atri/courses/coding-theory/book/chapters/chap20.pdf |date=2015-04-02 }}
  • Dýachkov, A. G., & Rykov, V. V. (1982). Bounds on the length of disjunctive codes. Problemy Peredachi Informatsii [Problems of Information Transmission], 18(3), 7–13.
  • Dýachkov, A. G., Rashad, A. M., & Rykov, V. V. (1989). Superimposed distance codes. Problemy Upravlenija i Teorii Informacii [Problems of Control and Information Theory], 18(4), 237–250.
  • {{cite journal |last1=Füredi | first1=Zoltán | authorlink1=Zoltán Füredi |year=1996 |title=On r-Cover-free Families |journal=Journal of Combinatorial Theory | series=Series A |volume=73 |issue=1 |pages=172–173 |doi=10.1006/jcta.1996.0012|doi-access=free }}

Category:Combinatorics