Relationship between NP-hard and undecidable problems

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深忆病人
深忆病人 2021-02-13 09:24

Am a bit confused about the relationship between undecidable problems and NP hard problems. Whether NP hard problems are a subset of undecidable problems, or are they just the s

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  • 2021-02-13 09:29

    Undecidable = unsolvable for some inputs. No matter how much (finite) time you give your algorithm, it will always be wrong on some input.

    NP-hard ~= super-polynomial running time (assuming P != NP). That's hand-wavy, but basically NP-hard means it is at least as hard as the hardest problem in NP.

    There are certainly problems that are NP-hard which are not undecidable (= are decidable). Any NP-complete problem would be one of them, say SAT.

    Are there undecidable problems which are not NP-hard? I don't think so, but it isn't easy to rule it out - I don't see an obvious argument that there must be a reduction from SAT to all possible undecidable problems. There could be some weird undecidable problems which aren't very useful. But the standard undecidable problems (the halting problem, say) are NP-hard.

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  • 2021-02-13 09:35

    An NP-hard is a problem that is at least as hard as any NP-complete problem.

    Therefore an undecidable problem can be NP-hard. A problem is NP-hard if an oracle for it would make solving NP-complete problems easy (i.e. solvable in polynomial time). We can imagine an undecidable problem such that, given an oracle for it, NP-complete problems would be easy to solve. For example, obviously every oracle that solves the halting problem can also solve an NP-complete problem, so every Turing-complete problem is also NP-hard in the sense that a (fast) oracle for it would make solving NP-complete problems a breeze.

    Therefore Turing-complete undecidable problems are a subset of NP-hard problems.

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  • 2021-02-13 09:38

    Undecidable problem e.g. Turing Halting Problem is NP-Hard only.

                       <---------NP Hard------>
    |------------|-------------||-------------|------------|--------> Computational Difficulty
    
    |<----P--->|
    
    |<----------NP---------->|
    
    |<-----------Exponential----------->|
    
    |<---------------R (Finite Time)---------------->|
    

    In this diagram, that small pipe shows overlapping of NP and NP-Hard and which shows NP-Completeness, i.e. set of those problems which are NP as well as NP-Hard.

    Undecidable problems are NP Hard problems which do not have solution and which are not in NP.

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