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Space Lower Bounds in Algebraic Proof Systems
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Academic year 2013/2014
- Course ID
- SEM-SLBAPS
- Year
- 1° anno 2° anno 3° anno
- Teaching period
- Seminario
- Type
- Seminario
- Course disciplinary sector (SSD)
- INF/01 - informatica
- Delivery
- Tradizionale
- Language
- Inglese
- Attendance
- Facoltativa
- Type of examination
- Non prevista
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Sommario del corso
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Course objectives
Abstract:
The study of space measure in Proof Complexity has a gained in the last years
more and more importance: first it is clearly of theoretical importance in the study of complexity of proofs;
second it is connected with SAT solving, since it might provide theoretical explanations of efficiency or inefficiency of
specific Theorem Provers or SAT-solvers; finally in certain cases (like the calculus of Resolution)
it is connected with important characterizations studied in Finite Model Theory, thus providing a solid link between the two research fields.
In the talk I will present a recent work, where we devise a new general combinatorial framework for proving space
lower bounds in algebraic proof systems like Polynomial Calculus (PC) and
Polynomial Calculus with Resolution (PCR). A simple case of our method allows us to obtain all the
currently known space lower bounds for PC and PCR.
Our method can be view as a Spoiler-Duplicator game, which is capturing boolean reasoning on polynomials.
Hence, for the first time, we move the problem of studying the space complexity for algebraic proof systems in the range
of 2-players games, as is the case for Resolution. This can be seen as a first step towards a precise
characterization of the space for algebraic systems in terms of combinatorial games, like
Ehrenfeucht-Frassè , which are used in Finite Model Theory.
More importantly, using our approach in its full potentiality, we answer to
the open problem of proving space lower bounds in Polynomial Calculus and Polynomials Calculus with Resolution for the polynomial encoding of randomly chosen $k$-CNF formulas. Our result holds for k >= 4. Then in PC and in PCR refuting a random k-CNF over n variables requires high space measure of the order of Omega(n). Our method also applies to the Expander Graph PigeonHole Principle, which is a PigeonHole Principle defined over a constant (left) degree bipartite expander graph.
In the talk I will discuss a number of open problems which arise form our works which might be
solved generalizing our approach.
It is a joint work with Ilario Bonacina, appeared in the Proceedings of Innovations in Theoretical Computer Science 2013.
Suggested readings and bibliography
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Class schedule
Days Time Classroom Venerdì 14:00 - 16:00 Lessons: dal 19/04/2013 to 19/04/2013
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Note
The seminar will be held by
Nicola Galesi
Sapienza University - Rome
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