<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0035-001X</journal-id>
<journal-title><![CDATA[Revista mexicana de física]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. fis.]]></abbrev-journal-title>
<issn>0035-001X</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Física]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0035-001X2009000400009</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Umbrales de percolación de sitios. Pequeñas celdas bidimensionales asimétricas]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lebrecht]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valdés]]></surname>
<given-names><![CDATA[J.F.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad de La Frontera Departamento de Física ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2009</year>
</pub-date>
<volume>55</volume>
<numero>4</numero>
<fpage>307</fpage>
<lpage>311</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0035-001X2009000400009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0035-001X2009000400009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0035-001X2009000400009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Site percolation thresholds p c and critical exponent v associated to square lattices, triangular lattices and hexagonal lattices are obtained. We consider a methodology consisting in the growth in size of cells for each geometry, denoted for M. A site is occupied with probability p and 1 - p if it is not occupied. Two directions of the plane: horizontal and vertical, through asymmetrical cells are considered for studying site percolation phenomena, so, a percolation functions associated to horizontal or vertical direction, fH(M,p) or fV(M,p) are obtained respectively. Using finite scaling techniques, the critical points at the thermodynamic limit are obtained. Site percolation thresholds are compared through three different ways: first, using the maximum of the derivative of the function f(H,V)(M,p) denoted by p p(H,V)(M), second, considering the solution of the equation f(H,V)(M,p) = p, denoted by p g(H,V)(M), and third, using the cross-point of the curves associated to percolation thresholds for horizontal and vertical directions, represented by p f (M). Critical exponent v is obtained through two different ways: first, using the maximum of the derivative defined as f ' (H,V)(M,p p), and second, considering the cross point of both derivatives f '(M,p f ). The values associated to site percolation thresholds and critical exponent v are in good agreement with the similar ones informed in literature, validating the methodology proposed here.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Se estudia el umbral de percolación de sitios p c y el exponente crítico v en redes cuadradas, triangulares y hexagonales. Para ello se usa la metodología de hacer crecer pequeñas celdas de tamaño M en cada geometría. Se considera la probabilidad p si un sitio esta ocupado y 1 - p si esta desocupado. Con el fin de incorporar la percolación en las dos direcciones que define el plano (horizontal y vertical), se consideran celdas asimétricas, cuya función de percolación está respresentada por fH(M,p) o fV (M,p), dependiendo si se trata de percolación horizontal o vertical, respectivamente. Usando la técnica de escalamiento de tamaño finito, se calculan los puntos críticos que caracterizan el fenómeno en el límite termodinamico. Se comparan los umbrales de percolación mediante tres formas diferentes, aquel correspondiente el máximo de la derivada de la funciones f(H,V)(M,p) denotado por p p(H,V)(M), el que determina la resolución del polinomio f(H,V) (M,p) = p, denotado por p g(H,V)(M) y el que se encuentra mediante el cruce de las curvas de los umbrales de percolación horizontal y vertical, representado por p f (M). Por otro lado, el exponente crítico v se obtiene de dos formas diferentes, aquella relacionada con el maximo de la derivada definida como f '(H,V)(M, p p) y con el punto de cruce de los umbrales de percolación horizontal y vertical sobre cada tipo de celda y definida como f '(M,pf). Los valores encontrados tanto para el umbral de percolación de sitio asociado a cada geometría, como el exponente crítico v estan en buena correspondencia con los informados en la literatura, lo que valida la metodología aquí propuesta.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Percolation]]></kwd>
<kwd lng="en"><![CDATA[percolation threshold]]></kwd>
<kwd lng="en"><![CDATA[critical exponent]]></kwd>
<kwd lng="es"><![CDATA[Percolación]]></kwd>
<kwd lng="es"><![CDATA[umbral de percolación]]></kwd>
<kwd lng="es"><![CDATA[exponente crítico]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="justify"><font face="verdana" size="4">Investigaci&oacute;n</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="4"><b>Umbrales de percolaci&oacute;n de sitios. Peque&ntilde;as celdas bidimensionales asim&eacute;tricas</b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="2"><b>W. Lebrechty* y J.F. Vald&eacute;s**</b></font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><i>Departamento de F&iacute;sica, Universidad de La Frontera, Casilla 54&#150;D, Temuco, Chile, </i>e&#150;mail: <a href="mailto:lebrecht@ufro.cl">lebrecht@ufro.cl</a>* ; <a href="mailto:jvaldes@ufro.cl">jvaldes@ufro.cl</a>**</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2">Recibido el 23 de marzo de 2009    <br> Aceptado el 30 de junio de 2009</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Abstract</b></font></p>     <p align="justify"><font face="verdana" size="2">Site percolation thresholds <i>p<sub>c</sub> </i>and critical exponent <i>v </i>associated to square lattices, triangular lattices and hexagonal lattices are obtained. We consider a methodology consisting in the growth in size of cells for each geometry, denoted for <i>M. </i>A site is occupied with probability <i>p </i>and 1 &#151; <i>p </i>if it is not occupied. Two directions of the plane: horizontal and vertical, through asymmetrical cells are considered for studying site percolation phenomena, so, a percolation functions associated to horizontal or vertical direction, <i>f<sup> H</sup>(M,p) </i>or <i>f<sup> V</sup>(M,p) </i>are obtained respectively. Using finite scaling techniques, the critical points at the thermodynamic limit are obtained. Site percolation thresholds are compared through three different ways: first, using the maximum of the derivative of the function <i>f(<sup>H,V</sup>)(M,p) </i>denoted by <i>p<sub>p</sub><sup>(H,V)</sup>(M)</i>, second, considering the solution of the equation <i>f(<sup>H,V</sup>)(M,p) = p, </i>denoted by <i>p<sub>g</sub><sup>(H,V)</sup></i>(M), and third, using the cross&#150;point of the curves associated to percolation thresholds for horizontal and vertical directions, represented by <i>p<sub>f</sub> (M). </i>Critical exponent <i>v </i>is obtained through two different ways: first, using the maximum of the derivative defined as <i>f ' <sup>(H,V)</sup>(M,p<sub>p</sub>), </i>and second, considering the cross point of both derivatives <i>f '(M,p<sub>f</sub> ). </i>The values associated to site percolation thresholds and critical exponent <i>v </i>are in good agreement with the similar ones informed in literature, validating the methodology proposed here.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Keywords:</b> Percolation; percolation threshold; critical exponent.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Resumen</b></font></p>     <p align="justify"><font face="verdana" size="2">Se estudia el umbral de percolaci&oacute;n de sitios <i>p<sub>c</sub> </i>y el exponente cr&iacute;tico <i>v </i>en redes cuadradas, triangulares y hexagonales. Para ello se usa la metodolog&iacute;a de hacer crecer peque&ntilde;as celdas de tama&ntilde;o <i>M </i>en cada geometr&iacute;a. Se considera la probabilidad <i>p </i>si un sitio esta ocupado y 1 &#151; <i>p </i>si esta desocupado. Con el fin de incorporar la percolaci&oacute;n en las dos direcciones que define el plano (horizontal y vertical), se consideran celdas asim&eacute;tricas, cuya funci&oacute;n de percolaci&oacute;n est&aacute; respresentada por <i>f<sup> H</sup>(M,p) o f<sup> V</sup> (M,p), </i>dependiendo si se trata de percolaci&oacute;n horizontal o vertical, respectivamente. Usando la t&eacute;cnica de escalamiento de tama&ntilde;o finito, se calculan los puntos cr&iacute;ticos que caracterizan el fen&oacute;meno en el l&iacute;mite termodinamico. Se comparan los umbrales de percolaci&oacute;n mediante tres formas diferentes, aquel correspondiente el m&aacute;ximo de la derivada de la funciones <i>f<sup> (H,V)</sup>(M,p) </i>denotado por <i>p<sub>p</sub></i><i><sup>(H,V)</sup></i>(M), el que determina la resoluci&oacute;n del polinomio <i>f<sup> (H,V)  </sup>(M,p) = p, </i>denotado por <i>p<sub>g</sub><sup>(H,V)</sup></i>(M) y el que se encuentra mediante el cruce de las curvas de los umbrales de percolaci&oacute;n horizontal y vertical, representado por <i>p<sub>f </sub>(M). </i>Por otro lado, el exponente cr&iacute;tico <i>v </i>se obtiene de dos formas diferentes, aquella relacionada con el maximo de la derivada definida como <i>f '<sup> (H,V)</sup></i>(M, <i>p<sub>p</sub></i>) y con el punto de cruce de los umbrales de percolaci&oacute;n horizontal y vertical sobre cada tipo de celda y definida como <i>f '(M,pf). </i>Los valores encontrados tanto para el umbral de percolaci&oacute;n de sitio asociado a cada geometr&iacute;a, como el exponente cr&iacute;tico <i>v </i>estan en buena correspondencia con los informados en la literatura, lo que valida la metodolog&iacute;a aqu&iacute; propuesta.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Descriptores:</b> Percolaci&oacute;n; umbral de percolaci&oacute;n; exponente cr&iacute;tico.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2">PACS: 64.60.Ak; 64.60.Fr</font></p>     ]]></body>
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