[PDF] How to Understand and Create Mapping Reductions





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How to Understand and Create Mapping Reductions

What is a mapping reduction?

A mapping reductionAmB(orAPB) is an algorithm (respectively, polytime algorithm) that can transform any instance of decision problemAinto an instance of decision problem B, in such a way that theanswer correspondenceproperty holds. Answer correspondence property: The answer (yes/no) to anyAproblem instance must be the same as the answer to the correspondingBproblem instance to which the reduction transforms it. 1 Thus the following two-step algorithm can be used to solve anyAproblem instance:

1. Transform the givenAproblem instance to a correspondingBproblem instance.

2. Call a solver forBproblem instances and return whatever answer (yes/no) it gives.

How should one make sense of thenotation?

AmBmeans \Aproblems are no harder to solve thanBproblems." APBmeans \Aproblems are no harder to solve in polytime thanBproblems." AmBmeans \Being able to solve anyBproblem)being able to solve anyAproblem." APBmeans \Being able to solve anyBproblem in polytime)being able to solve anyA problem in polytime."

Examples of decision problem instances:

AnATMproblem instance is (an encoding of) a given TM and a given string. The associated yes/no question is:Does the given TM accept the given string? AREGULARTMproblem instance is (an encoding of) a given TM. The associated yes/no question is:Is the language recognized by the given TM regular? ACLIQUEproblem instance is (an encoding of) a given undirected graph and a given number. The associated yes/no question is:Does the given graph have a clique of the given size? A3SATproblem instance is (an encoding of) a 3CNF Boolean formula. The associated

yes/no question is:Does the given Boolean formula have a satisfying assignment?1If the answer is just the opposite, for most purposes that's okay too. In this case the mapping reduction is

actually fromAtoB. 1

What are mapping reductions used for?

To prove undecidability: IfAmBandAis undecidable, thenBis undecidable. To prove non-Turing-recognizability: IfAmBandAis non-Turing-recognizable, thenB is non-Turing-recognizable. To prove NP-completeness: IfAPBandAis NP-complete (andB2NP), thenBis

NP-complete.

Other, less common, uses for mapping reductions:

To prove decidability: IfAmBandBis decidable, thenAis decidable. To prove Turing-recognizability: IfAmBandBis Turing-recognizable, thenAis Turing- recognizable. To prove membership in P: IfAPBandBis in P, thenAis in P. Important considerations when constructing mapping reductions

1. Make sure your reduction goes in the correct direction. For example:

2 If you're trying to proveAis undecidable, will it help to construct a reductionAmB for some undecidable languageB? If you're trying to proveAis NP-complete, will it help to construct a reductionAPB for some NP-complete languageB?

2.Type match:A reduction (transformation) is an algorithm whose input and output must be

of the right type. Examples:

ATMmREGULARTM

{ATMproblem instances have the formhM;wi, whereMis a TM andwis a string. {REGULARTMproblem instances have the formhM0i, whereM0is a TM. {Therefore the input to the reducing function (transformation) must be (an encoding of) an arbitrary TM and an arbitrary string, and the output must be (an encoding of) some TM.

3SATPCLIQUE

{3SATproblem instances have the formhi, whereis a 3CNF Boolean formula. {CLIQUEproblem instances have the formhG;ki, whereGis an undirected graph andkis a number. {Therefore the input to the reducing function (transformation) must be (an encoding of) an arbitrary 3CNF formulaand the output must be (an encoding of) some

undirected graphGand some numberk.2Analogously, if you're trying to prove a number is very large, will it help to prove that it's less than or equal to

some very large number? 2

3.Answer correspondence:The answer to the transformed problem instance should be the same

as the answer to the original problem instance, foranyinstance of the original problem.3

Examples:

ATMmREGULARTM

{LetM0denote the corresponding TM whose encoding is produced as output by the reducing function when given as input (the encoding of) a TMMand a stringw. {If the answer isyesto the questionDoes TMMaccept stringw?, then the answer must beyesto the questionDoes the TMM0recognize a regular language? {If the answer isnoto the questionDoes TMMaccept stringw?, then the answer must benoto the questionDoes the TMM0recognize a regular language?

3SATPCLIQUE

{LetGandkdenote the corresponding graph and number, respectively, whose en- coding is produced as output by the reducing function when given as input (the encoding of) a 3CNF formula. {If the answer isyesto the questionDoeshave a satisfying assignment?, then the answer must beyesto the questionDoes the graphGhave ak-clique? {If the answer isnoto the questionDoeshave a satisfying assignment?, then the answer must benoto the questionDoes the graphGhave ak-clique?

Proving answer correspondence always involves an \if and only if" proof.3As observed earlier, for most purposes it's okay if the answers are always opposite. This just means the mapping

reduction is actually fromAtoB. 3quotesdbs_dbs20.pdfusesText_26
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