In this paper we consider the Ideal Membership Problem (IMP for short), in which we are given real polynomials f_0,f_1,\dots, f_k and the question is to decide whether f_0 belongs to the ideal generated by f_1,\dots,f_k. In the more stringent version the task is also to find a proof of this fact. The IMP underlies many proof systems based on polynomials such as Nullstellensatz, Polynomial Calculus, and Sum-of-Squares. In the majority of such applications the IMP involves so called combinatorial ideals that arise from a variety of discrete combinatorial problems. This restriction makes the IMP significantly easier and in some cases allows for an efficient algorithm to solve it. In 2019 Mastrolilli ]  initiated a systematic study of IMPs arising from Constraint Satisfaction Problems (CSP) of the form CSP(\Gamma), that is, CSPs in which the type of constraints is limited to relations from a set \Gamma. He described sets \Gamma on a 2-element set that give rise to polynomial time solvable IMPs and showed that for the remaining ones the problem is hard. We continue this line of research. First, we show that many CSP techniques can be translated to IMPs thus allowing us to significantly improve the methods of studying the complexity of the IMP. We also develop universal algebraic techniques for the IMP that have been so useful in the study of the CSP. This allows us to prove a general necessary condition for the tractability of the IMP, and three sufficient ones. The sufficient conditions include IMPs arising from systems of linear equations over GF(p), p prime, and also some conditions defined through special kinds of polymorphisms  .
In this paper we consider the Ideal Membership Problem (IMP for short), in which we are given real polynomials f_0,f_1,\dots, f_k and the question is to decide whether f_0 belongs to the ideal generated by f_1,\dots,f_k. In the more stringent version the task is also to find a proof of this fact. The IMP underlies many proof systems based on polynomials such as Nullstellensatz, Polynomial Calculus, and Sum-of-Squares. In the majority of such applications the IMP involves so called combinatorial ideals that arise from a variety of discrete combinatorial problems. This restriction makes the IMP significantly easier and in some cases allows for an efficient algorithm to solve it. The first part of this paper follows the work of Mastrolilli SODA'19] who initiated a systematic study of IMPs arising from Constraint Satisfaction Problems (CSP) of the form CSP(\Gamma), that is, CSPs in which the type of constraints is limited to relations from a set \Gamma. We show that many CSP techniques can be translated to IMPs thus allowing us to significantly improve the methods of studying the complexity of the IMP. We also develop universal algebraic techniques for the IMP that have been so useful in the study of the CSP. This allows us to prove a general necessary condition for the tractability of the IMP, and three sufficient ones. The sufficient conditions include IMPs arising from systems of linear equations over GF(p), p prime, and also some conditions defined through special kinds of polymorphisms . Our work has several consequences and applications in terms of bit complexity of sum-of-squares (SOS) proofs and their automatizability, and studying (construction of) theta bodies of combinatorial problems .
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In 2019 Mastrolilli
The first part of this paper follows the work of Mastrolilli
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SODA'19
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who
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He described sets \Gamma on a 2-element set that give rise to polynomial time solvable IMPs and showed that for the remaining ones the problem is hard. We continue this line of research. First, we
We
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. Our work has several consequences and applications in terms of bit complexity of sum-of-squares (SOS) proofs and their automatizability, and studying (construction of) theta bodies of combinatorial problems