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Another Solution Problem (ASP)

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In Complexity Theory, Another Solution problem denotes the class of problems that seek the existence of a second solution to NP search problems, given the existence of one solution. This class was first introduced by Ueda and Nagao.[1], although ASP results for a number of problems had been in existence prior to that, e.g., Hamiltonian Circuit Problems[2]

Formal definition

Given an instance a of an NP search problem A, the problem ASP A takes a solution to a and asks if there is a second, different solution to a. For example, the ASP SAT problem takes in a boolean formula and a satisfying assignment of the formula, and asks if there is another distinct satisfying assignment of the same formula.

The problems in ASP are particularly interesting to puzzle designers. When designing a puzzle, we would often like to know whether the solution to the puzzle is unique or not, which is exactly the premise of ASP.

ASP reduction

ASP reductions are a special type of reductions that are essential in showing hardness for ASP problems. Formally, a problem A is ASP reducible to another problem B if,

  • there exists a parsimonious reduction R from A to B
  • there is a bijection between the solutions to an instance x of A and the solutions to the corresponding instance R(x) of B that can be computed in polynomial time.[1]

Showing an ASP reduction provides us with crucial hardness information about the problems. For example,

  • If ASP B is in P (i.e., if it is solvable in polynomial time), ASP A must be in P as well.[3]
  • If ASP A is NP-hard, then ASP B must be NP-hard as well.[3]

ASP-hardness

A problem A is known as ASP-hard if every NP search problem is ASP reducible to A. Consequently, if a problem is ASP-hard, then it is NP-hard as well.

A problem A is known as ASP-complete if A is an NP search problem itself and is NP-hard.

Examples

SAT

SAT is ASP-complete. SAT itself is an NP search problem, while the reduction given in Cook-Levin Theorem is an ASP reduction.

3SAT

3SAT asks whether a given boolean formula in 3-CNF form has a satisfying assignment. This problem can be shown to be ASP-complete via an ASP reduction from SAT.[1]

1-in-3SAT

This problem is a variant of 3SAT, which asks whether a given boolean formula in 3-CNF form has a satisfying assignment where each clause contains exactly one true literal. This problem can be shown to be ASP-complete via two layers of ASP reductions from 3SAT.[1]

Hamiltonian cycle

The problem of finding a Hamiltonian cycle in a planar directed max degree-3 graph is ASP-complete.[1]

Slitherlink

Slitherlink is an example of an ASP-complete puzzle. The problem is to find a simple loop with no loose ends. This problem can be shown to be ASP-complete via an ASP reduction from the Hamiltonian cycle problem.[1]

References

  1. 1.0 1.1 1.2 1.3 1.4 1.5 Seta, Takahiro; Yato, Takayuki (2003-05-01). "Complexity and Completeness of Finding Another Solution and Its Application to Puzzles". IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences. E86-A (5): 1052–1060. ISSN 0916-8508.
  2. Papadimitriou, Christos H., "Computational Complexity", Encyclopedia of Computer Science, John Wiley and Sons Ltd., pp. 260–265, ISBN 9780470864128, retrieved 2019-05-15
  3. 3.0 3.1 "MIT 6.890: Algorithmic Lower Bounds: Fun With Hardness Proofs" (PDF).


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