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Christian Glaßer

Publications and source records attributed to Christian Glaßer.

6 recordsLinked to original sources

Optimal Proof Systems for Complex Sets are Hard to Find

We provide the first evidence for the inherent difficulty of finding complex sets with optimal proof systems. For this, we construct oracles $O_1$ and $O_2$ with the following properties, where $\mathrm{RE}$ denotes the class of recursively enumerable sets and $\mathrm{NQP}$ the class of sets accepted in non-deterministic quasi-polynomial time. - $O_1$: No set in $\mathrm{PSPACE} \setminus \mathrm{NP}$ has optimal proof systems and $\mathrm{PH}$ is infinite - $O_2$: No set in $\mathrm{RE} \setminus \mathrm{NQP}$ has optimal proof systems and $\mathrm{NP} \neq \mathrm{coNP}$ Oracle $O_2$ is the first relative to which complex sets with optimal proof systems do not exist. By oracle $O_1$, no relativizable proof can show that there exist sets in $\mathrm{PSPACE} \setminus \mathrm{NP}$ with optimal proof systems, even when assuming an infinite $\mathrm{PH}$. By oracle $O_2$, no relativizable proof can show that there exist sets outside $\mathrm{NQP}$ with optimal proof systems, even when assuming $\mathrm{NP} \neq \mathrm{coNP}$. This explains the difficulty of the following longstanding open questions raised by Krajíček and Pudlák in 1989, Sadowski in 1997, Köbler and Messner in 1998, and Messner in 2000. - Q1: Are there sets outside $\mathrm{NP}$ with optimal proof systems? - Q2: Are there arbitrarily complex sets outside $\mathrm{NP}$ with optimal proof systems? Moreover, relative to $O_2$, there exist arbitrarily complex sets $L \notin \mathrm{NQP}$ having almost optimal algorithms, but none of them has optimal proof systems. This explains the difficulty of Messner's approach to translate almost optimal algorithms into optimal proof systems.

cs.CC↗

An Oracle with no $\mathrm{UP}$-Complete Sets, but $\mathrm{NP}=\mathrm{PSPACE}$

We construct an oracle relative to which $\mathrm{NP} = \mathrm{PSPACE}$, but $\mathrm{UP}$ has no many-one complete sets. This combines the properties of an oracle by Hartmanis and Hemachandra [HH88] and one by Ogiwara and Hemachandra [OH93]. The oracle provides new separations of classical conjectures on optimal proof systems and complete sets in promise classes. This answers several questions by Pudlák [Pud17], e.g., the implications $\mathsf{UP} \Longrightarrow \mathsf{CON}^{\mathsf{N}}$ and $\mathsf{SAT} \Longrightarrow \mathsf{TFNP}$ are false relative to our oracle. Moreover, the oracle demonstrates that, in principle, it is possible that $\mathrm{TFNP}$-complete problems exist, while at the same time $\mathrm{SAT}$ has no p-optimal proof systems.

cs.CC↗

Upward Translation of Optimal and P-Optimal Proof Systems in the Boolean Hierarchy over NP

We study the existence of optimal and p-optimal proof systems for classes in the Boolean hierarchy over $\mathrm{NP}$. Our main results concern $\mathrm{DP}$, i.e., the second level of this hierarchy: If all sets in $\mathrm{DP}$ have p-optimal proof systems, then all sets in $\mathrm{coDP}$ have p-optimal proof systems. The analogous implication for optimal proof systems fails relative to an oracle. As a consequence, we clarify such implications for all classes $\mathcal{C}$ and $\mathcal{D}$ in the Boolean hierarchy over $\mathrm{NP}$: either we can prove the implication or show that it fails relative to an oracle. Furthermore, we show that the sets $\mathrm{SAT}$ and $\mathrm{TAUT}$ have p-optimal proof systems, if and only if all sets in the Boolean hierarchy over $\mathrm{NP}$ have p-optimal proof systems which is a new characterization of a conjecture studied by Pudlák.

cs.CC↗

Oracle with $\mathrm{P=NP\cap coNP}$, but no Many-One Completeness in UP, DisjNP, and DisjCoNP

We construct an oracle relative to which $\mathrm{P} = \mathrm{NP} \cap \mathrm{coNP}$, but there are no many-one complete sets in $\mathrm{UP}$, no many-one complete disjoint $\mathrm{NP}$-pairs, and no many-one complete disjoint $\mathrm{coNP}$-pairs. This contributes to a research program initiated by Pudlák [Pud17], which studies incompleteness in the finite domain and which mentions the construction of such oracles as open problem. The oracle shows that $\mathsf{NP}\cap\mathsf{coNP}$ is indispensable in the list of hypotheses studied by Pudlák. Hence one should consider stronger hypotheses, in order to find a universal one.

cs.CC↗

Applications of Discrepancy Theory in Multiobjective Approximation

We apply a multi-color extension of the Beck-Fiala theorem to show that the multiobjective maximum traveling salesman problem is randomized 1/2-approximable on directed graphs and randomized 2/3-approximable on undirected graphs. Using the same technique we show that the multiobjective maximum satisfiablilty problem is 1/2-approximable.

cs.DS↗

Balanced Combinations of Solutions in Multi-Objective Optimization

For every list of integers x_1, ..., x_m there is some j such that x_1 + ... + x_j - x_{j+1} - ... - x_m \approx 0. So the list can be nearly balanced and for this we only need one alternation between addition and subtraction. But what if the x_i are k-dimensional integer vectors? Using results from topological degree theory we show that balancing is still possible, now with k alternations. This result is useful in multi-objective optimization, as it allows a polynomial-time computable balance of two alternatives with conflicting costs. The application to two multi-objective optimization problems yields the following results: - A randomized 1/2-approximation for multi-objective maximum asymmetric traveling salesman, which improves and simplifies the best known approximation for this problem. - A deterministic 1/2-approximation for multi-objective maximum weighted satisfiability.

cs.DS↗