Proceedings of International Workshop on QCD Green’s Functions, Confinement and Phenomenology — PoS(QCD-TNT09) 2010
DOI: 10.22323/1.087.0025
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Lattice Landau Gauge and Algebraic Geometry

Abstract: Finding the global minimum of a multivariate function efficiently is a fundamental yet difficult problem in many branches of theoretical physics and chemistry. However, we observe that there are many physical systems for which the extremizing equations have polynomial-like nonlinearity. This allows the use of Algebraic Geometry techniques to solve these equations completely. The global minimum can then straightforwardly be found by the second derivative test. As a warm-up example, here we study lattice Landau … Show more

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Cited by 46 publications
(68 citation statements)
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“…This is described in section 3. After restricting to the first Gribov region, the remainders of the residual gauge orbits still possess a large number of Gribov copies [69,[86][87][88][89]. This set will also be denoted as the residual gauge orbit in the following, to avoid the term residual of the residual gauge orbit.…”
Section: Proposals For Resolving the Gribov-singer Ambiguity 251 Gmentioning
confidence: 99%
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“…This is described in section 3. After restricting to the first Gribov region, the remainders of the residual gauge orbits still possess a large number of Gribov copies [69,[86][87][88][89]. This set will also be denoted as the residual gauge orbit in the following, to avoid the term residual of the residual gauge orbit.…”
Section: Proposals For Resolving the Gribov-singer Ambiguity 251 Gmentioning
confidence: 99%
“…This set will also be denoted as the residual gauge orbit in the following, to avoid the term residual of the residual gauge orbit. In fact, in an infinite volume this number is likely infinite, and in a finite volume V it appears to be a rapidly rising function of V [88][89][90], possibly even proportional to exp V [84].…”
Section: Proposals For Resolving the Gribov-singer Ambiguity 251 Gmentioning
confidence: 99%
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“…, q s N ) with q s j ∈ {0, ± 6µ 2 /λ}. Knowledge of these solutions permits us to continue them to J > 0 by numerical continuation; see [13] for a description of the homotopy continuation method we have actually been using. Under certain conditions on the initial (decoupled) and final (coupled) potentials, this method is known to yield all stationary points of V .…”
mentioning
confidence: 99%
“…More specifically, even if a numerical approximation is heuristically validated, it could turn out to be a nonsolution at higher precision, or Newton iterations may have unpredictable behavior, such as attracting cycles and chaos, when applied to points that are not in a basin of attraction [4][5][6][7][8] of some solution. We note that if the given system is a set of polynomial equations, then one can use numerical polynomial homotopy continuation [9][10][11][12][13][14][15][16][17][18][19][20][21][22] to compute all the isolated solutions (see e.g. [23][24][25] for some related approaches).…”
Section: Introductionmentioning
confidence: 99%