2,114,321 research outputs found
Constraints on axion-like particles and non-Newtonian gravity from measuring the difference of Casimir forces
We derive constraints on the coupling constants of axion-like particles to
nucleons and on the Yukawa-type corrections to Newton's gravitational law from
the results of recent experiment on measuring the difference of Casimir forces
between a Ni-coated sphere and Au and Ni sectors of a structured disc. Over the
wide range of axion masses from 2.61\,meV to 0.9\,eV the obtained constraints
on the axion-to-nucleon coupling are up to a factor of 14.6 stronger than all
previously known constraints following from experiments on measuring the
Casimir interaction. The constraints on non-Newtonian gravity found here are
also stronger than all that following from the Casimir and Cavendish-type
experiments over the interaction range from 30\,nm to m. They are up
to a factor of 177 stronger than the constraints derived recently from
measuring the difference of lateral forces. Our constraints confirm previous
somewhat stronger limits obtained from the isoelectronic experiment, where the
contribution of the Casimir force was nullified.Comment: 13 pages, 3 figure
Speeding up the constraint-based method in difference logic
"The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319-40970-2_18"Over the years the constraint-based method has been successfully applied to a wide range of problems in program analysis, from invariant generation to termination and non-termination proving. Quite often the semantics of the program under study as well as the properties to be generated belong to difference logic, i.e., the fragment of linear arithmetic where atoms are inequalities of the form u v = k. However, so far constraint-based techniques have not exploited this fact: in general, Farkas’ Lemma is used to produce the constraints over template unknowns, which leads to non-linear SMT problems. Based on classical results of graph theory, in this paper we propose new encodings for generating these constraints when program semantics and templates belong to difference logic. Thanks to this approach, instead of a heavyweight non-linear arithmetic solver, a much cheaper SMT solver for difference logic or linear integer arithmetic can be employed for solving the resulting constraints. We present encouraging experimental results that show the high impact of the proposed techniques on the performance of the VeryMax verification systemPeer ReviewedPostprint (author's final draft
Constraints on Area Variables in Regge Calculus
We describe a general method of obtaining the constraints between area
variables in one approach to area Regge calculus, and illustrate it with a
simple example. The simplicial complex is the simplest tessellation of the
4-sphere. The number of independent constraints on the variations of the
triangle areas is shown to equal the difference between the numbers of
triangles and edges, and a general method of choosing independent constraints
is described. The constraints chosen by using our method are shown to imply the
Regge equations of motion in our example.Comment: Typographical errors correcte
An Improved Tight Closure Algorithm for Integer Octagonal Constraints
Integer octagonal constraints (a.k.a. ``Unit Two Variables Per Inequality''
or ``UTVPI integer constraints'') constitute an interesting class of
constraints for the representation and solution of integer problems in the
fields of constraint programming and formal analysis and verification of
software and hardware systems, since they couple algorithms having polynomial
complexity with a relatively good expressive power. The main algorithms
required for the manipulation of such constraints are the satisfiability check
and the computation of the inferential closure of a set of constraints. The
latter is called `tight' closure to mark the difference with the (incomplete)
closure algorithm that does not exploit the integrality of the variables. In
this paper we present and fully justify an O(n^3) algorithm to compute the
tight closure of a set of UTVPI integer constraints.Comment: 15 pages, 2 figure
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