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Rezo Bragin
Rezo Bragin

Minimizer Mu Download HOT!



Travis minimizer muonline is the free tool for Mu online game. It's developed for people who want to minimize your muonline game and run other programs while playing ( i.e. Internet Browser, Chat Client, other MU software etc ).




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as the number n of atoms tends to infinity, which is crucial to overcome the lack of compactness outside the class of almost-connected sequences of energy-equibounded minimizers. In particular, it consists in proving that it is enough to select a connected component among those with largest cardinality for each solution of (4). This is achieved by proving compactness for almost-connected energy minimizers and then by defining a proper transformation \(\mathcal T\) of configurations (based on iterated translations of connected components as detailed in Definition 2.1), which always allows to pass to an almost-connected sequence of minimizers.


In Sect. 2, we introduce the mathematical setting with the discrete models (expressed both with respect to lattice configurations and to Radon measures) and the continuum model, and the three main theorems of the paper. In Sect. 3, we treat the wetting regime and prove Theorem 2.2. In Sect. 4, we establish the compactness result for energy-\(E_n\)-equibounded almost-connected sequences. In Sect. 5 we prove the lower bound of the \(\Gamma \)-convergence result. In Sect. 6, we prove the upper bound of the \(\Gamma \)-convergence result. In Sect. 7, we study the convergence of almost-connected transformations of minimizers and present the proofs of both Theorems 2.3 and 2.4. In Sect. 8, we present some other positioning of \(\mathcal L_F\) and \(\mathcal L_S\) that can be reduced to the setting introduced in Sect. 2.


for some \(p,q\in \mathbb N\) without common factors, since the case of \(e_S=re_F\) for some \(r\in \mathbb R\setminus \mathbb Q\) is simpler, as the contribution of \(E_S\) is negligible (namely, in this case \(\# \partial \mathcal L_FS=1\)). More precisely, for \(e_S=re_F\) with \(r\in \mathbb R\setminus \mathbb Q\) the same analysis (or the one in Au Yeung et al. (2012) applies, and, up to rigid transformations, minimizers converge to a Wulff shape in \(\mathbb R^2\setminus S\) with the Wulff-shape boundary intersecting \(\partial S\) at least in a point.


In this section, the rigorous statements of the main theorems of the paper are presented. We begin with the following result that characterizes the wetting regime in terms of a condition only depending on \(v_FF\) and \(v_FS\), and the minimizers in such regime.


as the dewetting condition or the dewetting regime. The following result shows that connected components with the largest cardinality of minimizers incorporate the whole mass in the limit.


We rigorously prove by \(\Gamma \)-convergence that the discrete models converge to the continuum model, and in view of the previous result (even in the lack of a direct compactness result for general sequences of minimizers, possibly not almost connected), we prove convergence (up to passing to a subsequence and up to translations) of the minimizers of the discrete models to a bounded minimizer of the continuum model, which in turn it is also proven to exist. We do not discuss here further the minimality property of the Winterbottom shape for the energy \(\mathcal E\) and the uniqueness of the minimizers of \(I_\infty \) in \(\mathcal M_W\).


Every sequence \(\mu _n\in \mathcal M_n\) of minimizers of \(E_n\) admits, up to translation in the direction \(\varvect_1\) (i.e., up to replacing \(\mu _n\) with \(\mu _n(\cdot +c_n\varvect_1)\) for chosen fixed integers \(c_n\in \mathbb Z)\), a subsequence converging with respect to the weak* convergence of measures to a minimizer of \(I_\infty \) in \(\mathcal M_W\).


for a constant \(C>0\). Then, there exist an increasing sequence \(n_r\), \(r\in \mathbb N\), and a measure \(\mu \in \mathcal M(\mathbb R^2)\) with \(\mu \ge 0\) and \(\mu (\mathbb R^2)=1\) such that \(\mu _r\mathop \rightharpoonup \limits ^* \mu \) in \(\mathcal M(\mathbb R^2)\), where \(\mu _r:=\mu _D_n_r(\,\cdot \,+a_n_r)\) for some translations \(a_n\in \mathbb R^2\) (see 14 for the definition of the empirical measures \(\mu _D_n_r\)). Moreover, if \(D_n\in \mathcal C_n\) are minimizers of \(V_n\) in \(\mathcal C_n\), then we can choose \(a_n=t_n\varvect_1\) for integers \(t_n\in \mathbb Z\).


In order to conclude the proof it suffices to prove that \(\mu (\mathbb R^2)=1\), and this directly follows from the fact that the support of \(\mu _r\) are contained in a compact set of \(\mathbb R^2\). The last claim follows from the fact that if \(D_n \in \mathcal C_n\) is a minimizer of \(V_n\) then we have that \(\mathcal T_1 (D_n)=D_n\), i.e., all connected components of \(D_n\) are connected with the substrate and \(D_n\) is almost-connected. \(\square \)


(Compactness) Assume (32). Let \(D_n\in \mathcal C_n\) be configurations satisfying (48) and let \(\mu _n:=\mu _\mathcal T(D_n)\) be the empirical measures associated with the transformed configurations \(\mathcal T(D_n)\in \mathcal C_n\) associated with \(D_n\) by Definition 2.1. Then, up to translations (i.e., up to replacing \(\mu _n\) by \(\mu _n(\cdot +a_n)\) for some \(a_n\in \mathbb R^2 )\) and a passage to a non-relabeled subsequence, \(\mu _n\) converges weakly * in \(\mathcal M(\mathbb R^2)\) to a measure \(\mu \in \mathcal M_W\), where \(\mathcal M_W\) is defined in (35). Furthermore, if \(D_n\in \mathcal C_n\) are minimizers of \(V_n\) in \(\mathcal C_n\), then we can choose \(a_n=t_n\varvect_1\) for integers \(t_n\in \mathbb Z\).


We notice that Theorem 7.1 is not enough to conclude Assertion 3. of Theorem 2.4. In fact, the compactness provided for energy equi-bounded sequences \(D_n\in \mathcal C_n\) by Theorem 4.4 of Sect. 4 holds only for almost-connected configurations \(D_n\). Therefore, as detailed in the following result, we can deduce the convergence of a subsequence of minimizers only after performing (for example) the transformation \(\mathcal T\) given by Definition 2.1, which does not change the property of being a minimizer.


Assume (32). For every sequence of minimizers \(\mu _n\in \mathcal M_n\) of \(E_n\), there exists a ( possibly different) sequence of minimizers \(\widetilde\mu _n\in \mathcal M_n\) of \(E_n\) that admits a subsequence converging with respect to the weakly *convergence of measures to a minimizer of \(I_\infty \) in


Let \(\mu _n\in \mathcal M_n\) be minimizers of \(E_n\). By (15), (16), and (105) there exist configurations \(D_n\in \mathcal C_n\) such that \(\mu _n:=\mu _D_n\). Let \(\mathcal T(D_n)\in \mathcal C_n\) be the transformed configurations associated with \(D_n\) by Definition 2.1. We notice that the sequence of measures


Therefore, by Theorems 7.1 and 4.4 we obtain that there exist a sequence of vectors \(a_n:=t_n\varvect_1\) for \(t_n\in \mathbb Z\), an increasing sequence \(n_k\), \(k\in \mathbb N\), and a measure \(\mu \in \mathcal M_W\) (being a minimizer of \(I_\infty \)) such that \(\widetilde\mu _n_k\rightharpoonup ^*\mu \) in \(\mathcal M(\mathbb R^2)\), where


In view of Theorem 2.3, we can improve the previous result and in turns, prove the convergence of minimizers (up to a subsequence) directly without passing to an auxiliary sequence of minimizers obtained by performing the transformation \(\mathcal T\) given by Definition 2.1. In fact, Theorem 2.3 allows to exclude the possibility that a sequence of (not almost-connected) minimizers \(\mu _n\in \mathcal M_n\) loses mass in the limit.


By Corollary 7.2, there exists a (possibly different) sequence of minimizers \(\widetilde\mu _n_k\in \mathcal M_n_k\) of \(E_n_k\) that (up to passing to a non-relabeled subsequence) converge with respect to the weak* convergence of measures to a minimizer \(\mu \in \mathcal M_W\) of \(I_\infty \). Therefore, there exists a bounded set \(D\subset \mathbb R^2\setminus S\) of finite perimeter with \(D=1/\rho \) such that \(\mu = \rho \chi _D\) and \(\widetilde\mu _n_k\) converge with respect to the weak* convergence to \( \rho \chi _D\).


Let \(\mu _n\in \mathcal M_n\) be minimizers of \(E_n\). By Corollary 7.2, there exist another sequence of minimizers \(\widetilde\mu _n\in \mathcal M_n\) of \(E_n\), an increasing sequence \(n_k\) for \(k\in \mathbb N\), and a measure \(\mu \in \mathcal M_W\) minimizing \(I_\infty \) such that


for some integers \(t_n\in \mathbb Z\), and for configurations \(D_n\in \mathcal C_n\) such that \(\mu _n:=\mu _D_n\), where \(\mathcal T(D_n):=\mathcal T_2(\mathcal T_1(D_n))\) (see Definition 2.1). Furthermore, by (16) and (105) the configurations \(D_n\) are minimizers of \(V_n\) in \(\mathcal C_n\) and hence, \(\mathcal T_1(D_n)=D_n\) and by Theorem 2.3 we have that, up to a non-relabeled subsequence,


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