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Lecture 2-6 Polynomial Time Hierarchy

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Presentation on theme: "Lecture 2-6 Polynomial Time Hierarchy"— Presentation transcript:

1 Lecture 2-6 Polynomial Time Hierarchy

2 Nonunique Probe Selection and Group Testing

3 DNA Hybridization

4 Polymerase Chain Reaction (PCR)
cell-free method of DNA cloning Advantages much faster than cell based method need very small amount of target DNA Disadvantages need to synthesize primers applies only to short DNA fragments(<5kb)

5 Preparation of a DNA Library
DNA library: a collection of cloned DNA fragments usually from a specific organism

6 DNA Library Screening

7 Problem If a probe doesn’t uniquely determine a virus, i.e., a probe determine a group of viruses, how to select a subset of probes from a given set of probes, in order to be able to find up to d viruses in a blood sample.

8 Binary Matrix viruses c1 c2 c3 cj cn
p … 0 … 0 … 0 … 0 … 0 … 0 … p … 0 … 0 … 0 … 0 … 0 … 0 … 0 p … 0 … 0 … 0 … 0 … 0 … 0 … 0 probes … 0 … 0 … 0 … 0 … 0 … 0 … 0 . pi … 0 … 0 … 1 … 0 … 0 … 0 … 0 pt … 0 … 0 … 0 … 0 … 0 … 0 … 0 The cell (i, j) contains 1 iff the ith probe hybridizes the jth virus.

9 Binary Matrix of Example
virus c1 c2 c cj p p p probes Observation: All columns are distinct. To identify up to d viruses, all unions of up to d columns should be distinct!

10 d-Separable Matrix _ All unions of up to d columns are distinct.
viruses c1 c2 c cj cn p … 0 … 0 … 0 … 0 … 0 … 0 … 0 p … 0 … 0 … 0 … 0 … 0 … 0 … 0 p … 0 … 0 … 0 … 0 … 0 … 0 … 0 probes … 0 … 0 … 0 … 0 … 0 … 0 … 0 . pi … 0 … 0 … 1 … 0 … 0 … 0 … 0 pt … 0 … 0 … 0 … 0 … 0 … 0 … 0 All unions of up to d columns are distinct. Decoding: O(nd)

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12 Nonunique Probe Selection
_ Given a binary matrix, find a d-separable submatrix with the same number of columns and the minimum number of rows. Given a binary matrix, find a d-disjunct submatrix with the same number of columns and the minimum number of rows. Given a binary matrix, find a d-separable submatrix with the same number of columns and the minimum number of rows

13 Complexity? All three problems may not be in NP, why?
Guess a t x n matrix M, verify if M is d-separable (d-separable, d-disjunct). -

14 Problem

15 - d-Separability Test - Given a matrix M and d, is M d-separable?
It is co-NP-complete.

16 - d-Separability Test - Given a matrix M and d, is M d-separable?
This is co-NP-complete. (a) It is in co-NP. Guess two samples from space S(n,d). Check if M gives the same test outcome on the two samples. -

17 (b) Reduction from vertex-cover
Given a graph G and h > 0, does G have a vertex cover of size at most h?

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19 d-Separability Test Reduces to d-Separability Test
Put a zero column to M to form a new matrix M* Then M is d-separable if and only if M* is d-separable. -

20 d-Disjunct Test Given a matrix M and d, is M d-disjunct?
This is co-NP-complete.

21 Minimum d-Separable Submatrix
Given a binary matrix, find a d-separable submatrix with minimum number of rows and the same number of columns. For any fixed d >0, the problem is co-NP-hard. In general, the problem is in and conjectured to be –complete.

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23 Polynomial Time Hierarchy

24 PSPACE PH P

25 Oracle TM Query tape yes Query state no Remark:

26 A is polynomial-time Turing-reducible to B if there exists a polynomial-time DTM with oracle B, accepting A.

27 Example

28 Example

29 Definition

30 Definition

31 Definition Remark

32 Theorem Proof

33 PSPACE PH P

34 Characterization THEOREM PROOF by induction on k

35 Induction Step on k>1

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40 Characterization THEOREM PROOF by induction on k

41 Induction Step on k>1


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