DIVERGENCIA Y ROTACIONAL DE UN CAMPO VECTORIAL

[b]Definición:[/b][br][u]Divergencia[/u][br]La divergencia de un capo vectorial mide la diferencia mide la diferencia entre el flujo entrante y el flujo saliente en una superficie que encierra un fluido.[br][justify]La divergencia de un capo vectorial [b]F=Pi+Qj+Rk [/b]es la función escalar.[br][br][img]data:image/png;base64,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[/img][br][u]Rotacional[/u][br]Se entiende por rotacional al operador vectorial que muestra la tendencia de un campo a inducir rotación alrededor de un punto. También se define como la circulación del vector sobre un camino cerrado del borde de un área con dirección normal a ella misma cuando el área tiende a cero. [br]La rotacional de un capo vectorial [b]F=Pi+Qj+Rk [/b]es la función vectorial.[br][img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdkAAABKCAYAAAD3wi5bAAASUUlEQVR4Ae2cjZHcthKElYJjcArOQSEoBqfgDJyBMlAEjsAJKAFn4Bzu1Se99o0gkBiQABfcbVRtgUviZ6anMQ1wT/rw5mIEjIARMAJGwAhMQeDDlFE9qBEwAkbACBgBI/BmkTUJjIARMAJGwAhMQsAiOwlYD2sEjIARMAJGwCJrDhgBI2AEjIARmISARXYSsB7WCBgBI2AEjIBF1hwwAkbACBgBIzAJAYvsJGA9rBEwAkbACBgBi6w5YASMgBEwAkZgEgIW2UnAelgjYASMgBEwAhZZc8AIGAEjYASMwCQELLKTgPWwRsAIGAEjYAQssuaAETACRsAIGIFJCFhkJwHrYY2AETACRsAIWGTNASNgBIyAETACkxCwyE4C1sMaASNgBIyAEbDImgNGwAgYASNgBCYhYJE9COy///779uXLl4O9X7fb58+fX855c6U/5OZJP2av2mN1rlhkDzDz77//fvvll1/efv/992rvP//88+3XX399+/Dhw7f6r7/+qra7w01s/+233775gs/4drQgNozF559//jk6zK367XFlJLaPBmWkL+bJz9F0TvkZE+7cgSsW2XrsNu9yekU8//jjj2obBATxJfh8Pn369E2QS1Fh0TBO+aH9169fq2NffRMfoyDK5q1NA4KC/fKJvjVfwAfBrj272seZ8+1xJYstmArPWH/8+PGNZyuUs77AkxqnzJPv0c3mFHEB3tFHfGFNkotWKFmuKNfIB2pyBr6UuRS/VuaKRbaDeYgCwSagW6VMfEqStVcaJErGU4E8LA7ItMKiwN/SDuyF6GVhUWC7/N/zhTFpy2m/HL8c967fW1zpxRbca9jWEs7VmJ3xhfiznqJ/st88+Y6E4i5ctnIKeLE2oxDRlnxCrlmh9HClzI/yhdxRlpW58p7hS6v9/QcECCKicEQYSCCIUFkgUUl+7eDKhVX2fdT3ms1sIGq4cDrB99pv1xKhmmA/yrdR8x7lSg1bbBInGFdF2N6JJ9EX+UGND1trxDyJSL1f1/CSwL63+n7F6ZH2K2zIStv4vsV77peCKl9q46zKFYtsLVqVe0p0raRG8oMYkJodpPpRl6W2UPTaIybUst9V3yEtCxc7+WAbvkF+FRYuz2pCupc86S9saq8KNf4da/m1x5UMtvIdvNnExKJX0XtzxPYzr3t9ifzBrpYvwvMVeQI+mZwiDGtCKvzuxhXlnMhdvfWI9+K1fF2JKxbZGKGNawlJuasqm4voEAGR5ENCgSwEPxYJkIjPHCII4zy6kDjZJOCzFq52kTFJco92tSIfS9/VFnzoWwqInt+xznAli638hz/liV/J5tGbsSO+iA/YDtfhAP5slVflCXhkcwrrtOSI8FReUa7R/avrHq4od5Q/s5Er9vLwilyxyCaYJnHZEz+SK8kiChBDbxFc90mg+pBoJGgJs6Y2gcj4E5O4iK8kiQH4W/osw9R+b3FLLPaw1Xh3qDNcyWKLv8JQyYZ4iDsxDo/C5ogv4js13Nnjh/x6RZ705BSw3OKD+CIsH1X3cEU2I8wUsNBbtRZfVuOKRTbBOMSGz14hCUL08jWFAh7FinFILjrB8ay1Q9ube/QziI0vCEYs2lVHH2vt1Een3NJ3PafWXFtCHdve4brFFfmbwRZ/lWzAWR+wijF4FC5HfdFGkqQJXvq+54fmehWegEU2p2gjtsUJxO3RuCl+Wd5jr/hODU/gC+O0iuZ6tM+y0yIrJDZqCcvWqxh10y5L31WLHPquGuIgwCpKphkSqc+sWou73DEqKcZ52RzUsEFY8b1cVLGvrhkDPDLJVn1WrDNc6cEWH5Vs9jYqj8LiiC/aWGKzxIFxMuWVeAIe2ZzCumH91HAUxlsCnMF9RJteruAPm4OjZSWuWGQbUdRJtPU6s7Ygtogl4scxdQ+xfXSp2a3dYWkf+CCm5eYAcWWRZMRBGNeSxKOx6JlffsS4lv17sKUvyWaVHfkIX8Aolh7/hO8r8ASMenIKolJbb9wrMY/4X3Xdw/sRubCXKzrkwEc+ZT47g5NFtoEeAgLorVOWTjHaMYpUtZOcCKC2MoF5WCytudR+Vq2dsWyH9OBQ21kiojptYT9twQI/skQVdrUT8SwfZ4yb4UoPtvADTBWHGTafGbPHF8W49EXcgTetojFegSdgIX+VJ/ZyCmtNpzc4QyHPgG9mo9vC/uzzHq7AEXyQ30fmFnY9XNF6E35H5q31scjWUPn/PYgL4CTPTGE3pESLINVIooXCuHyiEGnnmp0vY9PRNtiuRUtdnmBr47KYjyzsXpw1NxiDYSZBq8+suseHDLYaTzzJ4D/Lt71xj/jCGlCJ6yGuBT2PtTA5sj60sY1zx7Gvuu71IZNTStsRNNZGuaEp2139PcOVyIcza7sXZ7AgjzDn6DdHFtkdpmk3NBr0nSlv+YhFTTJgk8BCOlIkJoyVKdoZH0m4cXwtrLNCba5EVOdd9/JElmjzm+WX+sUajjP/mTKTJwgLmwk+XL966eWKYjN6c3KOMU8eRS0qSOtSR0AYQWgSGd+VyNiVZrHTqfms2NWt3L47SmSFQ9bfbYv8ZA+BR/EEmxTjPftazzTGSJ7wBklvwViHYIRgcF9vl/j+aqWXK8QE/I4eFLbwvVxkW6dCAaNdSFkrgW85NPI+tjI/C8PlZwS0c9Zihpxa7BLcn3vV7zwK61Ei+yj762g+791H4iyBPIPuDPvZzOo1OPkRQdVPKeTT0aJxxv8r+/ZiLcxGa8ylIpshqUX2ShquM1d2QUgUtfk6+1pM41GfKVn7z8zhvu//pCmz8SVZiifUZ09zmfzVipF50kJo3PMerDkowJHy56eoR+WzrKXLimxrQSg5xkWUvc4mVO1sXnUnmCXRiHZKYJnXaMRDsT47t3iU5cTWfObKFjJj7/fwhJmVPOHL2ROK5j7jkXlyBr2+vopXJqcoDyDMseg+Ant0Q39IZFF3OQB5JYjlzjEaHNvHPtEhrrVz0Jjl8yu/K5GfTcBX2nzXucSPyJktX0T8TNutMXRfY52NsbkiROfWPTyRJcTm6ClEY1Br7niv99o86UXseHvFK5Mn1JY6FjZFfM5s0A6LLGSJEytZRSNxDtFUkSP6XqvvKLJaODPqGkYz783wQWPu2S1uZBaE/sw/cm1v7L1n4u1VIissRtd7Ps54Ntr+ON6evT08YRzFl78VOFs095lx5GeLb2o3oz5j/5G+M3xgzFZRvDI5hTaMqbeWvAFBXOEN12dK29LK6AhhaTjfy3s62epUKqcrQ/53SyJbCwz9ryyyYdUFIft66z0ce8fqab8XO3Gj5FCtj/64qhWX2Jdxe2xV24w9zKP2LZvUbnQdfS2vj851d56Aw5EN2Qy8FBON/SieMP9WwSbZ11vv+dM7Vrb9lh+635NTeNPBvAgqQosOZV4za669ehvxnV41AzCwtihJUjJWTu8M/d/r4hrQtfH3xjr7TDbsEejsHO7/HQFxIyNq2oid3WEysxLL2RibK9cwuYcnWHRkQ7bliebeep65b55kUBrTRvFq5RR+a1VcYq1T7VlrlhVZnX63HFRyjKBkr7MJVck8237LVt9vI6AF0Xqtp7cjvMoZUcSjszE2V0ZEoz1GlicaKZ5QdO9orbmP9qefeXIGvb6+ilcrp+hth9qpnw6HfbP+3Hq6yEIqGSvjfzbj/Y5I2BLZ9x7zrtgBIdzY7TIXAZ04WljDC2IiTp21apTImitnI5Hrn+UJo43ekGXyV8sL86SF0LjnWa6QS8gp8d8a8x0tGlGGiSzk4ROLSC7BVIKMbcpri2yJyGt8zyYfJTotiLPoWGTPInht/yxPsEr5ZtSGTNw743GP/Wfmcd/8v6mW5sS3WbwpQ2iP/rOdiP8wkVWyiicRCBV3AyJ9NKC8lsMS5vL5ld+1qEb/X5ZX+nCXuUTq1u8gign8YBPHbjUujl5/xdszYzCn7DJXeiPQ1z7LE0bVCWVULlGM+yz+sbXGME9+xGXGtwxX+LsOxJRPLHqFTLxocybP/DhynGXnGiGs7Q51cpXRiGxZ9Azja2UlkRXQNT9qtvvecQTEi9bOkefiCIuoJcoti0aJrLnSQnrM8yxPmE08aXEqa5kEMtu+1s48qaEy516GK+QP2pU5HmHlHs/O5plDIjsHkvVGVQLu/YfsBE67KPpubSjW87hu0Wx/4uasbsG8u4rx2ZOsxnlVrpCU2Hjjv5LWKHFT9Ht4ora98dBctXqEyB7lCVjqN0bwBWswv2OZnU/ARPEHq0eXx1vwaAQa8xMkPllC8xoIgSXIFC1MiHXHcoU/YAPG5W7ybni9KlfgOmLGKY3Cd06RrIORpYcn+mmq9sZtpE1HxurlCX6DrzaCEuo7vnK+Ip8Qkx6uHIlhTx+LbAMt7R4JWqaw4ywFmUXFOHcsV/jDwgOju5/4X5Ur8L08tWpzWd4/swZ6eKJXfRKmM/OO7tvLEzYt2rTLFvwbeUrXuLPrK/IJPvRwZbbPFtkGwvoN5cyOmAVx91NahGm0P3q1PjIhR3uvujZX3pHWaWukyGV5ogRLvWIZwRNtYlb0r9em0fmE+bNc6bX1SHuLbAM1dumcsnj9lSkIhXaq9EOcCXgUWdrwXc81ruZa6VSX8Qf75Q+2x08LN3botG+1E0Yr14pf1pfZ2F6JFUkfvxVLCV0UWfART/RqGRvVdu9NRoYn4h3rbdRfFM/AsJcntCePcHLFRzBUjon2wSdiEF8tR8xjLGK/K68znKeNeBIPN8INDM5y5UqfLbIJtAk0gW2RFHJAcBa5Xu8ogUAaFRaIFg7jqi3P9VtCvKd+V9dZf7ALvyPxlRQYY6/QBwxWTop79pfPRnOF8Y9iW9o267t8lnDCXWwu1wzt4ANrgucU7hF77u2tr1flCXmCfAJewkc5AnxVaKe8Qntdk3fAnHuPLtl8ItvFq5gL5Xu8V/q1Glfeo1Ra6u//IQC5ITRB3ytaDBBeRX2jAOmZCBMFhmTTmkf9Z9dZf/A3nt6wn6TQEljs1847Yjbbr5njK96tGF6B7Uw/NbY4XPJbJxG1i7UwgusS5vi8dv2qPAGjcrMCPtyLG/eIGbFg/cHBzBqMfWdeZzkvG8St3vy4Glcssopoo2Z3BbG3dlCQmecsilggCPchTK3wLCYoCLI1R63/rHtH/ekRWGET/Z/lz5XjzuJKD7ZX+Stfy00SPCapbhV4T99MeVWegA1iWeJIfqjlGmGpTUx2A6N+M+uj+aQ3P67IFYtsklkQG8Jv7R4hNISA4LGQSOi3VVhAGhOxWUVwjvjTIwI6/ZYJZAunO92fwZUebK/EqrYmlFC3kjzP6ZcR2VfmiXAsc4LWJs9rRUKzhX+tz+x7snlmflyVKxbZDnaJvNRlqZFoa5HEviRPdv20XUlwev0pRYDFpM1D9FfXZXvdf5Z6JFdKrFrYXolhTWS1sSxPt9jFPXjBG5+9zad8KH3X/Wep93hSyx8Skq21RR/w53lmE3MVjr35RHYR/2x+XJUrFllFM1kTSE6skDmW8hUOiZAk0hJOkY925Zhx/Kuve/wpyR0Tac3uvcRSa3/XeyO40ovt1VjJPvhC3OVz+fMICV+bA3jOtd78wAfWQVlenSfggcAgmGALxuQJ8grXsUiI1JbTL+0Uk0fnlp58Ev3K5seVuWKRjRFNXovABDYWEgtkJ3lQl695YltdK9mUY+n5I+uMPyI3PpefWuLUCWZFf2dgfYYrvdjOsL81ppK4Yo+Y1hI6CV9CoDERDPqVf8fAc/PkO0pgiXCCExiyiQHzWGjDcwkszxA12vNZZa1l8kn0i+tMflydKxbZMqrJ7wR/xOsYxlhlESRdP9yM5IC/5S788IA36TiKKzdx97SZ5slpCJ9mgFZ+vANXLLIX05GEqx0nu9JXEdiLYfZ0RsAI3BCBZ8yPFtmLicjrQ17t8Kqs/N3qYlM8nREwAkZgKQSeMT9aZJeimI0xAkbACBiBZ0LAIvtM0bQvRsAIGAEjsBQCFtmlwmFjjIARMAJG4JkQsMg+UzTtixEwAkbACCyFgEV2qXDYGCNgBIyAEXgmBCyyzxRN+2IEjIARMAJLIWCRXSocNsYIGAEjYASeCQGL7DNF074YASNgBIzAUghYZJcKh40xAkbACBiBZ0LAIvtM0bQvRsAIGAEjsBQCFtmlwmFjjIARMAJG4JkQsMg+UzTtixEwAkbACCyFgEV2qXDYGCNgBIyAEXgmBCyyzxRN+2IEjIARMAJLIWCRXSocNsYIGAEjYASeCYH/Aat0afvVMzsSAAAAAElFTkSuQmCC[/img][br][br][br][/justify][justify][br][br][/justify]
[b]Formulas:[br][/b][u]Divergencia[/u][br][img]data:image/png;base64,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[/img][br][u]Rotacional[/u][br][img]data:image/png;base64,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[/img]
Calculo Divergencia y Rotacional
Ejercicio de divergencia de un campo vectorial
[size=100][size=150]Si [b]F[/b]=xz[sup]2[/sup] [b]i[/b]+2xy[sup]2[/sup] z[b]j[/b]-5yz[b]k[/b] , encuentre div F.[/size][/size]
Ejercicio rotacional de un capo vectorial.
[size=150]Si [b]F[/b]=(x[sup]2[/sup] y[sup]3[/sup] -z[sup]4[/sup]) [b]i[/b]+4x[sup]5[/sup] y[sup]2[/sup] z [b]j[/b]-y[sup]4[/sup] z[sup]6[/sup][b] k [/b], encuentre el rotacional F.[/size]
Chiudi

Informazioni: DIVERGENCIA Y ROTACIONAL DE UN CAMPO VECTORIAL