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Michael C. Chavrimootoo

Publications and source records attributed to Michael C. Chavrimootoo.

15 recordsLinked to original sources

Axiomatic Tools for Separating Electoral Control Types, with Applications to Concrete Systems

Electoral control is the study of whether an attacker, by structural changes on an election such as adding/deleting/partitioning voters or candidates, can affect the winner in some desired way. Forty-four such attack types are often considered standard, and recently there has been work showing that sometimes the attack types -- though seemingly distinct---in fact "collapse," that is, for every input, either the attacker can achieve their goal under both of the control types or under neither of the control types. The papers doing this, however, while often exploiting axiomatic results that ensured collapses, found all the separations by human or computer-generated counterexamples. This left open the issue of whether even the separation direction can be driven by axiomatic results that allow large groups of separations to be almost automatically obtained. Our paper provides many such results, and we apply them to seven important voting systems, finding sixty-four new collapses and 1901 new separations. We not only give axiomatic sufficient conditions and one complete characterization result, but also identify some control-problem pairs that universally separate---in other words, they separate under every voting rule.

cs.GT↗

Approximating Electoral Control Problems

Much research in electoral control---one of the most studied form of electoral attacks, in which an entity running an election alters the structure of that election to yield a preferred outcome---has focused on giving decision complexity results, e.g., membership in P, NP-completeness, or fixed-parameter tractability. Approximability on the other hand has received little attention in electoral control, despite its prevalence in the study of other forms of electoral attacks, such as manipulation and bribery. Early work established preliminary results about popular voting rules such as plurality, approval, and Condorcet. In this paper, we completely determine for each of the "standard" control problems under plurality, approval, and Condorcet, whether they are approximable, and we prove our results in both the weighted and unweighted voter settings.

cs.GT↗

The Cost of Failure: On The Complexity of Recampaigning under Fixed Districts

Redistricting efforts have gathered contemporary attention in both popular and scholarly debates, particularly in the United States where efforts to redraw congressional districts to favor either of the two major parties in 12 states---such as California, Texas, and Ohio---have captured the public eye. The treatment of redistricting in computational social choice has essentially focused on the process of determining "appropriate" districts. In this work, we are interested in understanding the gamut of options left for the "losing" party, and so we consider the flip side of the problem: Given fixed/predetermined districts, can a given party still make their candidates win by strategically placing them in certain districts? We dub this as "recampaigning" to capture the intuition that a party would redirect their campaigning efforts from one district to another. We model recampaigning as a computational problem, consider natural variations of the model, and study those new models through the lens of (1) (polynomial-time many-one) interreducibilities, (2) separations/collapses (both unconditional and axiomatic-sufficient), and (3) both worst-case and parametrized complexity.

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Carrying is Hard: Exploring the Gap between Hardness for NP and PSPACE for the Hanano and Jelly no Puzzles

The Hanano Puzzle is a one-player game with gravity, where the goal is to make colored blocks make contact with flowers of the corresponding color. The game Jelly no Puzzle shares similar mechanics. In general, determining if a given level of each of the two games is solvable is PSPACE-complete. There are also known restrictions under which determining if a level of Jelly no Puzzle is solvable is NP-complete. We find that under the same restrictions, determining if a level of Hanano Puzzle is solvable remains PSPACE-complete. We thus study several restrictions on Hanano, contrast them with known results about Jelly no Puzzle---at times giving membership in P---and posit that the mechanism at the heart of the PSPACE-hardness is the ability for blocks to carry other blocks.

cs.CC↗

Linked Fates: How Small of an Ambiguity Increase Can Make the Difference Between Equaling and Separating from P?

Ambiguity-bounded versions of $\mathrm{NP}$, denoted $\mathrm{UP}_{\leq f(n)}$, bound by $f(n)$ the number of accepting paths the nondeterministic polynomial-time Turing machine can have on inputs of length $n$. Such classes range from Valiant's completely unambiguous ($f(n)=1$) class $\mathrm{UP}$ to $\mathrm{NP}$ itself, where there is no bound or, equivalently, there is the toothless exponential bound ($f(n) = 2^{n^{O(1)}}$). This paper seeks to understand which of these classes stand and fall together as to whether they equal deterministic polynomial time. Informally put, what ranges of ambiguities have linked fates? That is, for which pairs of nondecreasing functions, $(f_1 ,f_2)$, satisfying $(\forall n)[f_1(n) \leq f_2(n)]$, does it hold that $\mathrm{P} = \mathrm{UP}_{\leq f_1(n)} \implies \mathrm{P} = \mathrm{UP}_{\leq f_2(n)}$. More particularly, for which pairs does that hold robustly, i.e., it holds in the real world and every relativized world? And for which pairs does that implication fail to hold robustly, i.e., there is an oracle $A$ such that $\mathrm{P}^A = \mathrm{UP}_{\leq f_1(n)}^A \subsetneq \mathrm{UP}_{\leq f_2(n)}^A$? The only previously known positive result is Watanabe's 1988 result that $ \mathrm{P} = \mathrm{UP}_{\leq 1} \implies (\forall k \geq 1)[\mathrm{P} = \mathrm{UP}_{\leq k}]$, which even holds robustly. His result, though lovely, applies only to constant-bounded ambiguities. As our positive result, we present a new class of cases (Theorem 3.8) that apply (and even robustly apply) at greater ambiguity levels. To give our class of cases, we leverage two approaches: a novel path-poisoning approach that works even on superconstant ambiguities (Theorem 3.5) and a new application of the power of padding (Theorems 3.3/3.4). As negative results, we show that for essentially all other cases, no linkage holds robustly.

cs.CC↗

Search versus Search for Collapsing Electoral Control Types

Electoral control types are ways of trying to change the outcome of elections by altering aspects of their composition and structure [BTT92]. We say two compatible (i.e., having the same input types) control types that are about the same election system E form a collapsing pair if for every possible input (which typically consists of a candidate set, a vote set, a focus candidate, and sometimes other parameters related to the nature of the attempted alteration), either both or neither of the attempted attacks can be successfully carried out. For each of the seven general (i.e., holding for all election systems) electoral control type collapsing pairs found by Hemaspaandra, Hemaspaandra, and Menton [HHM20] and for each of the additional electoral control type collapsing pairs of Carleton et al. [CCH+24] for veto and approval (and many other election systems in light of that paper's Theorems 3.6 and 3.9), both members of the collapsing pair have the same complexity since as sets they are the same set. However, having the same complexity (as sets) is not enough to guarantee that as search problems they have the same complexity. In this paper, we explore the relationships between the search versions of collapsing pairs. For each of the collapsing pairs of Hemaspaandra, Hemaspaandra, and Menton [HHM20] and Carleton et al. [CCH+24], we prove that the pair's members' search-version complexities are polynomially related (given access, for cases when the winner problem itself is not in polynomial time, to an oracle for the winner problem). Beyond that, we give efficient reductions that from a solution to one compute a solution to the other. For the concrete systems plurality, veto, and approval, we completely determine which of their (due to our results) polynomially-related collapsing search-problem pairs are polynomial-time computable and which are NP-hard.

cs.GT↗

Separating and Collapsing Electoral Control Types

[HHM20] discovered, for 7 pairs (C,D) of seemingly distinct standard electoral control types, that C and D are identical: For each input I and each election system, I is a Yes instance of both C and D, or of neither. Surprisingly this had gone undetected, even as the field was score-carding how many std. control types election systems were resistant to; various "different" cells on such score cards were, unknowingly, duplicate effort on the same issue. This naturally raises the worry that other pairs of control types are also identical, and so work still is being needlessly duplicated. We determine, for all std. control types, which pairs are, for elections whose votes are linear orderings of the candidates, always identical. We show that no identical control pairs exist beyond the known 7. We for 3 central election systems determine which control pairs are identical ("collapse") with respect to those systems, and we explore containment/incomparability relationships between control pairs. For approval voting, which has a different "type" for its votes, [HHM20]'s 7 collapses still hold. But we find 14 additional collapses that hold for approval voting but not for some election systems whose votes are linear orderings. We find 1 additional collapse for veto and none for plurality. We prove that each of the 3 election systems mentioned have no collapses other than those inherited from [HHM20] or added here. But we show many new containment relationships that hold between some separating control pairs, and for each separating pair of std. control types classify its separation in terms of containment (always, and strict on some inputs) or incomparability. Our work, for the general case and these 3 important election systems, clarifies the landscape of the 44 std. control types, for each pair collapsing or separating them, and also providing finer-grained information on the separations.

cs.MA↗

A Brief Note on a Recent Claim About NP-Hard Problems and BQP

This short note outlines some of the issues in Czerwinski's paper [Cze23] claiming that NP-hard problems are not in BQP. We outline one major issue and two minor issues, and conclude that their paper does not establish what they claim it does.

cs.CC↗

On Czerwinski's "${\rm P} \neq {\rm NP}$ relative to a ${\rm P}$-complete oracle"

In this paper, we take a closer look at Czerwinski's "${\rm P}\neq{\rm NP}$ relative to a ${\rm P}$-complete oracle" [Cze23]. There are (uncountably) infinitely-many relativized worlds where ${\rm P}$ and ${\rm NP}$ differ, and it is well-known that for any ${\rm P}$-complete problem $A$, ${\rm P}^A \neq {\rm NP}^A \iff {\rm P}\neq {\rm NP}$. The paper defines two sets ${\rm D}_{\rm P}$ and ${\rm D}_{\rm NP}$ and builds the purported proof of their main theorem on the claim that an oracle Turing machine with ${\rm D}_{\rm NP}$ as its oracle and that accepts ${\rm D}_{\rm P}$ must make $Θ(2^n)$ queries to the oracle. We invalidate the latter by proving that there is an oracle Turing machine with ${\rm D}_{\rm NP}$ as its oracle that accepts ${\rm D}_{\rm P}$ and yet only makes one query to the oracle. We thus conclude that Czerwinski's paper [Cze23] fails to establish that ${\rm P} \neq {\rm NP}$.

cs.CC↗

Evaluating the Claims of "SAT Requires Exhaustive Search"

In this paper, we take a closer look at the claims made by Xu and Zhou in their paper "SAT Requires Exhaustive Search" [XZ23], which claims to provide a lower bound on the complexity of the so-called Model RB. Xu and Zhou conclude that their result implies a separation between P and NP, since the lower bound purportedly proves that the Strong Exponential Time Hypothesis (SETH) is true. In examining Xu and Zhou's arguments, we find a flaw in their main theorems. The authors assume that an algorithm for Model RB must have a certain structure that can leverage downward self-reducibility, and argue that such an algorithm cannot run in polynomial time. We argue that this structure is not guaranteed to exist and thus their paper neither proves SETH to be true nor proves P $\neq$ NP.

cs.CC↗

Defying Gravity: The Complexity of the Hanano Puzzle

Using the notion of visibility representations, our paper establishes a new property of instances of the Nondeterministic Constraint Logic (NCL) problem (a PSPACE-complete problem that is very convenient to prove the PSPACE-hardness of reversible games with pushing blocks). Direct use of this property introduces an explosion in the number of gadgets needed to show PSPACE-hardness, but we show how to bring that number from 32 down to only three in general, and down to two in a specific case! We propose it as a step towards a broader and more general framework for studying games with irreversible gravity, and use this connection to guide an indirect polynomial-time many-one reduction from the NCL problem to the Hanano Puzzle -- which is NP-hard -- to prove it is in fact PSPACE-complete.

cs.CC↗

A Closer Look at Some Recent Proof Compression-Related Claims

Gordeev and Haeusler [GH19] claim that each tautology $ρ$ of minimal propositional logic can be proved with a natural deduction of size polynomial in $|ρ|$. This builds on work from Hudelmaier [Hud93] that found a similar result for intuitionistic propositional logic, but for which only the height of the proof was polynomially bounded, not the overall size. They arrive at this result by transforming a proof in Hudelmaier's sequent calculus into an equivalent tree-like proof in Prawitz's system of natural deduction, and then compressing the tree-like proof into an equivalent DAG-like proof in such a way that a polynomial bound on the height and foundation implies a polynomial bound on the overall size. Our paper, however, observes that this construction was performed only on minimal implicational logic, which we show to be weaker than the minimal propositional logic for which they claim the result (see Section 4.2). Simply extending the logic systems used to cover minimal propositional logic would not be sufficient to recover the results of the paper, as it would entirely disrupt proofs of a number of the theorems that are critical to proving the main result. Relying heavily on their aforementioned work, Gordeev and Haeusler [GH20] claim to establish NP=PSPACE. The argument centrally depends on the polynomial bound on proof size in minimal propositional logic. Since we show that that bound has not been correctly established by them, their purported proof does not correctly establish NP=PSPACE.

cs.CC↗

A Critique of Sopin's "${\rm PH} = {\rm PSPACE}$"

We critique Valerii Sopin's paper "${\rm PH} = {\rm PSPACE}$" [Sop14]. The paper claims to resolve one of the major open problems of theoretical computer science by leveraging the Skolemization of existential quantifiers of quantified boolean formulas to show that ${\rm QBF}$ (a well-known ${\rm PSPACE}$-complete problem) is in $Π_4^p$, and thus ${\rm PH} = {\rm PSPACE}$. In this critique, we highlight problems in that paper and conclude that it fails to establish that ${\rm PH} = {\rm PSPACE}$.

cs.CC↗

A Critique of Kumar's "Necessary and Sufficient Condition for Satisfiability of a Boolean Formula in CNF and Its Implications on P versus NP problem."

In this paper, we analyze the argument made by Kumar in the technical report "Necessary and Sufficient Condition for Satisfiability of a Boolean Formula in CNF and Its Implications on P versus NP problem." The paper claims to present a polynomial-time algorithm that decides CNF-SAT. We show that the paper's analysis is flawed and that the fundamental underpinning of its algorithm requires an exponential number of steps on infinitely many inputs.

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A Critique of Keum-Bae Cho's Proof that $\mathrm{P} \subsetneq \mathrm{NP}$

In this paper we critique Keum-Bae Cho's proof that $\mathrm{P} \subsetneq \mathrm{NP}$. This proof relates instances of 3-SAT to indistinguishable binomial decision trees and claims that no polynomial-time algorithm can solve 3-SAT instances represented by these trees. We argue that their proof fails to justify a crucial step, and so the proof does not establish that $\mathrm{P} \subsetneq \mathrm{NP}$.

cs.CC↗