Beispiel Mäuse - nicht stabile Verteilung

Nicht zu jeder stochastischen Matrix gibt es eine stabile Verteilung.
Beispiel
[center][img]data:image/png;base64,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[/img][/center]In einem biologisches Experiment wird das Verhalten von Mäusen untersucht. Die Mäuse [br]befinden sich in vier Räumen, die durch Türen miteinander verbunden sind. Die Forscher [br]haben festgestellt, dass jede Maus innerhalb einer Minute in einen Nachbarraum wechselt - ob nach rechts oder links ist zufällig.
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[/img]
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m5NgQwhP05YyS3yWrsXqUv3Kp0J9kE61mY9ZxPCZNr8CG6R1exQJCHc8N37TxEm3CCuQpigPF6VyZVSqVwVcgjx5Xaqra0DU5ftew2eLDzxzA2EyTttbCurVKccYCipl8xsdXUKs97OOgp+Y9QJhElLCxeV9T3DMFB5aPQp8RoabHK1dM1eJ49tTh7bTp4VtIPYEpcE9wRv09jQTTqvkDzSM14YdKjkg4SZ9L9bWmuURlU7npdXfdBhGnfzCvKvI74EWnkFpZ91t/+ok13PER4qZk4RO8+cTburcj/DMJBjAGFy8br2lsj3cvLBHlElOS3Y5jRpZql2A7ph5FFSWsHaQk+w5197pVzOAjsihMnc5Tv00i4v0uWx/9jlyF1JkbuSvNfvg46tCTsCrxjNWvZPp2B4ePsFJ6RczjqbdnfJqjjIfODqzROt3RBAgoRGmMzx2p6UmpF69d668EQ4g/vpTz/uVqzLshi4n5vAEZIKdRm62M1/d/zhtGNJ6RE7zwyZ9ML+XDxdsBSg/qbmNt7r952/lHn+UubSNXvhdJV3+aRCw8gDjlfBLOyLbx25H2h5RXWrPi7sIdG+RA1yFmuKdHmwKTK419jp6w3Xw/pUVsl+s3vJ0QIehFPnhxst+DnDMK7eMSqZCRAmQ8kq7jSdTdPj5MEzTWIz8qhcjTBxcI+SmPVKBJlM/qdTMIwh7NXYzJI4hUipvGHkAdssI20CPutuj/gOWSErXPdhbvD3PCuSGuRUC6TLY+fBC0Fbj/NeumdV1oibGY+mL4gYNGHFkEm+zp7RvNnWDc3jvOJ5PrFDyaoB431sXDdfuv6A9zZI09PSwoW7VgFuZz5eF55o47p58ETfPmOWjZgc4BmwR78ukBn3ns5cvOXHCSsHT/S1d9sq/VimYeTRb5w3wsQvOAG2YlSMiMAOuevPS0BFbfsbNj889TU3HJCmpxEmZy7caei+aEMDyKOmpvYtcxuEybmLmZBe2nrOJrb0aX7Jx51nvGVucyfryY8TViJMbFw3696oCFQehgPS9Bhhu9lANIA8wDKnqbmNTCa/fCMbRl4oYhgGcoSHRJ+sra2DzHqGzvBL5WEgIE1PSwsX6T+vfxoNIA//0MMIkz5jlimVyro6xXvtprJmCEFbj8OahGGYS9cfIH0Y8KiFysNA7NifMmC8zys6rQIaQB6jp65FmCxYsRP+C7t42/eeu5P15C1zm0+72cNCHOZd//1mplqbzdraOplMLn6JbFNQeVCEMLY8GIaB81026AsYKdi4bu42zA1hcvT0iy0gWLWPmrJWbZ0wwRW/ug1zE3o7lQdFCGPLI/NBHvxe2Q1yyA8PG/msDxrDMJ93d0DSkk+XllU+elokfuU/EwyfQeVBEcLY8ojYeQa97MhfVV0DhsdfD15U/bdvyoOHBaAibk57vUPlQRHC2PIAR34VI8rev3o2Nbep72IG3ipNzW10PzdVC5UHRQhjy6PdgHmI4/5bWSVT6cG0+REIk75jvaXUuS3+7Di79eLXPGEzUioPihBGlUdhcTmS5qoPjizs7pY4x5LSPVbHi18h0SeF3k7lQRHCqPLYf+wywuSz7vbie7XFfztVJ5xQHwVVd6g8KEIYVR5zl+9AmIyzU2PcevD4FZXdLYOihTwKi8uv336YlZ1niKWRXF57Lyf/+u2HBjXENCZFJeXXbz/MfJCnl+hVxsSo8pjkGGze1zVsB49rfH3WhB0x7+s6ZJKvLm1JRyN5XL6RPWbaOtae/JOus/yCE1Qi3mpNZZVsTdgRiLgO14jJAdplJpg2P6Jt/3lCF29cTUNw7VZOffP7/3WZuTLoIBu42sjYu239rLv96RRVby0RaCgGDeQBscMQJv/pNP370V5fD14E/23dz7WopFzHbpQ9r2Ir7DhogcVor//72g5pmxUAYrYLXWpDEOgFNpbUhx2nfz/aq/OQF39dSwsX4w+M127lgPlS4pkb0t9F5SFVHk/zS8DQ2HZuGHs+c/VmDrisqHXqVwsEyf3vNzMvXMmCV2QyuYN7FMLkXy2scx4ValQbyOOPWUGpV+9xrxt3NAjTph0FhWXvtLFFmFjNDmVDrd24kwsZBSydQwzdAWBf4iVX75ihZBWcrVF5aIxEeYDxS6s+LiqRLSEfzRvNraSHe+FSXV0DvpNb4pLqv15Xp4BNPE3jG4A8eCPhGoeVQQcRJs2+m62y3th79BLCpEkzy8JiXcdbKRCnEJWRk8pDM9aEHX1HQmhasLRf7Ben8rpcXgtBL48lpWvdh/OXMhEmb7aazI1p6bPhgPQjIJYGl8dImwCECfe4qba27qNOdggTKcmZdKegsOzBwwK4GmkujxsZuY3MLAsKpU4FTVAeUkYPhmFgJcAb07LPmGVIIOysRNaEHUGYfPPTYm7RsaR0hMnbrW01ciVvWHkwDPNpN3vECRECQF4BD74g1gYFPM7p6KEZUuRxP+eFDRi7MKjP+JkbwE1F6z5MdNiIMBlm5c8tunX3MTR9/fZD6RWCPCY5Bp9Nu3vq3K0LV7Ke5pcYLXls7pMi6HMyJzSJ8u9gKz9brjJOZ1ioPLRBijzY2OMZ93h8syBazHejlmrdB0idOtFhI7focV4xNK1RYjTenatWfVzWRyQaIf8g68rGG6odclx9O9zd0N1QgcpDG6TI4+TZF8GVeWOCwPfdeYhq8ELpWIz2Qi/73LMUFIrlLRBimJX/R53sug9z+3HCygHjfdr2n8cePoyZts7Q6djZRB+8np6QpLP9wPkG7QMXKg9tkCIPcEoRshabtWQrwqTrz0u07kPfsd6wB8otYtN6aGRiwz2pfJxXDJNAhInak1kdYTMZ8A62zp7RRjt7qQ+VhzZIkUfatfvwfd/JesIthahc4D2vHUPJKiQQMPLh40IkEJxTU+rqFF2GLkaY/PDbch2rEufqzRzoM+8By4xFkcgoweRVoPLQBinyYB/hvO5Z4D0/yTFY6z7A6mUo4Vmtsj81jTKSCbFkVRzC5MsejrpXJQJrVMobh+H3GYEIk99nBBq0D1yoPLRB4rEg5NbgzcQFwUXXRyRq3Yfw2NMIk3YDeALe7T6UhqSFpJDC0jV7ESafd3fQvSpxzPu6IoG8ft8Od0eYrN502NB9UIHKQxskygOeeXYLVeMWF5dWQARo3j1fiUDI98ZmlnkFpSpFMFMfbs2z56sFcFqnrxQcIkxyDEZ8tjZlz6sgOC/vnq9BofLQBonygOR9H3SYVlD4UlQHONX+sON0Xay16+oUcI6mcipfUlrxcecZCBP/UNVnrVxeO8zK//vRXoMn+pY9f8kGNjk1g3dNnJyaAT+RoK3Hte6qRCDH+XvtpqrkeIAUJe+3nyqe89IQUHloQ/yRi198q34uXlVdg3s5wQ5VcmpGZZUsr6B0VcghGDp8NhzQsRvrIxJhAPHZcOBpfklllezcxcxeIz0RJp90ncU1Aof5GO+kzi84obGZ5XBr//DY0zfu5D56WnT5RrZnwB4wqew4aIER/C5kMjmkeO48ZNGZC3cqq2T5z8oCNh8B08Cla3gydxqCezn5F65kwQVb2+vCE+G/127lqH17zqNChInK00cEE5TH8sD9bzS3knLn5RvZ9Z0x2Is4heh+1sYwDHjYq1yfdJ3F3Q9gM1P2G+fNPcSAOJS8V5ehizU1/tWaa7dywD5X5ZpgH2S0XAtck0T2avPDXLVvv3IzG2GSXygYBUqF11oeSqVSJpOHRJ/sPszt0272LSzmjJ+54Up6th47c+NO7kSHjS0tXD7pOqvrz0sCI4/xTkIidyUhTN5ubZuVncctratTJJ654ewZ3W+ct1lv5487z2hp4TLSJmBrXLKKubGhqamp3bT91LfD3eHj+s0uUCjPgYGI2p1s77aV9+LNPa0ClYdm8vgnwA4d68K13yujSIHK49WTBzgt9h3LM62i6Bcqj1dMHrW1deZ9Xd8yt+GdVlH0C5XHKyaP/ccuf9bdPjDyWEN35LWAyuMVkwfFmFB5UHlQBKHyoPKgCELlQeVBEYTKg8qDIgiVB5UHRRAqD+WeIxe/MLB7EOUVBUwSpQcFNkF50AQGFCGoQbvywPErX/Vy0vRdcnmt0cJGCVFXpzBCVB5xFAqF0cxvdUSLjwsCdr3Wo4dGa4/C4vIlq+I+6ToLYfKvFtbfjVp68PgVI+ukqrpmfURiSwuXxmaWTZpZth84Pzz2tJFNcevqFLEHUrr+vOSN5laNMPmqp9OKoAPaZSawd9s6aspaoWtFkK6ONDKZPHjbidb9XBubWTY2s2zdzzUk+qREjxe69tBAHqfO3YKo4wiTjzrZQdBohMmgCSuMltjlXk4+63PyQYdp77adwnoviCSn1i9lz6u6D3ODdt9ubfufTtPh3//3tZ0W5v2QblLo+tV2jS5dzX1SBF5Z4KII0ZARJs2/n/3oaZHat1N5SJXH8/Iq8GsdNGEFBIODJygIZpHvLsP3VMkwTI9fPBAmbfvPA8cJhmGSUjO+6umEMPnFerUR+qBUKm1cN4MYDp28CiPn7czHEGCBG8FeLSCPSY7BW+KSuNfJsxrEhlSBYZj+v/sgTFpYzEm5/CISQMrlrBYWcxAmA8ard7in8pAqj7VhR8F3T8W1MmjrcYTJu22nGMF5GoI1NmlmeTvzcf3X2aiEvEE79cvT/JImzSwRJnuOXKz/+uO84rdb2yKBsNMigDx0ifMixIUrL0K/qoxpbIzT1Kv3xGug8pAqjzHT1iG+mOcVlTKYZRkh9IbH6niEycA/VnCLOg5agLTKI6Up8YfTECafdrPnepv8MSsI8QVzEcdw8vALTkAC8eZ6jvBAmKwKOSReA5WHVHmA2/T2vee4RTDhMULgJgimyJvP2nZuGBIIQ6pf5vnEIoFg8jDAdhvmplGFhpPH2OnrESYO7lHcIsjFpTYLLJWH0i84oYk6ecD+N8Lk3EWeKInj7NYjw4f9Y3OMBG/jGSK81u5FRonrDLP5GYt4hgjI/PRGcyuN5pkgj4DNR4pKyvOflUk/ZFALRJbhxkBSKpWrNx1GmJj1dhavIfXafYRJieS8XyYoj41RJxo3sxS/J/XqPZCHyqQfmDo/HGHy/Wgvg/Tvb6qra6APsQd4JvcQB+j99lMN2gfl3+EPebciTqe8CNSdnftMeoXcnav/fjNz/MwNF69rk5KXhWEYCGwVHssTbxvCIDVpZim+KX88+ebrfiy4Y39KI0zED4xOnbuF1EVo7zKUJ7eTHikqKYc+7D16iVsaEn0SntwG7YNSqfy8uwPChDfMB6SAQ5jcusvzEBEC5PF++6lf9nD8pOssNtFCYzPLkOiTWvdTJpNDPdF7eObD0XteZM0V35GPP3KxkZnlay2PyioZwkQ8+pOU/B68qc/0SGHxC3nsS+SRR2j0KSmPQ92BTLzL1vFkimOTBN3MeCS9wqs3c0pKK9j/VlXX7Eu8BGNUk2aWUoK18cIOtrzLRTapdLXoPDD2QErHQQukN2qC8lAqlV/1dBLPvcRuEfIG5zTy5GrXwQvcUqNNrlr1cUGYuPnv5hZpN7ni5Wl+CRzh8S6spcBOriJ3JXFLI3aegQFK/GmyZFWcRktK05THqClrede7LGySjbRrPBPi3+wCESZjp6vZBtERhmE+7DgdCSSvgaV5636uBu2D8u88o04e27hF+xJfJGWurNLD8hr2nXh3sSUC5gW80cBgaa42eOxImwCNwsOapjyWrdvHm7iMhU21ypuZFjbRfTcmGKyDL4AUhLw5XSEFjy45RiQyx2s7wmT01LXconXhiUi3JHL1meyyCemWsXHUlLUIE5dlMdwiJ49tCJNRU3j+ivqY9XY+fOqa9BZNUx6JZ26Y9XYWH2dHTA5AmLh6q37WlVUyCO18OkXX7E1qWewXhzD56U8/blGnHxca6PRAhdgDKfDc5R4LQn7dqfPD9dLQd6OWIoGMWRKB4PkWfJNeiO0tbu94P6fgjeZW9ddFajFNeVRX17zbdop4+FffjQkIk8+7O6jMHKp+m/EAAAObSURBVCBS/5utJnPT+emdI39dh+2pezn59V9n9531G/CXl4ePCxvx5TosKCx7r91UhMmWONW5vlxeO3PxFtu5YQ7uUTU1L1lkXUnP5t07OnPhDvxFmpqo1AdsbRpxtgrSM3KRcF5pljVhR4ZM8tWoRdOUh1Kp/NMpeObiLSI3FJdWfNBhGozIYBvLMEzCiauwHuCdi+sdhUIBo0SXoYszH7yIknglPRuWy7pM0zUCjEc+625/Nu0uvJLzqLDfOG+EyZc9HLl7QZtj/oKfY8DmIypF0xdEfNXTyWvt3qs3c2BvvbSsMjT6FHzUnYcs0sWhhWEYmPd2GLiA3WtOz8htP3A+wqTXSE+R+QLDMO0Hztd0Z9lk5ZGekfuWuY1KrhYVDhy7AukpmjSzxL2cWEPuXiM99XjWK87NjEcfdbKDdj/v7gCeJwiTr3o6PXxspMwEhcXlbfvPY4/wvuzhCOPJO21suVYFcnktmJR/P9qL+1uHpIrsQQeMP+hvE33d0ylmPshjP6LPutvDrjTC5JOus8SjsCanZnzUyU5TDxaTlYdSqRw7fT3vMq4+uU+KHN23sV4fXw9eFLPvvJFd9krLKr3X7/tfl5nQB9zLaW3YUb1sFkkHMhPA6QTC5MOO0xf57irgs02C8+mm5ja8e+IPHxcuD9z/w2/LYRBmP9UVQQf0NVl9Xl7lF5wAp5nwTPELTlBb+a+2a7zX85ztiGPK8rh2K+e9dlOlPLEYhikprTCaC5QQz8urjDZqCVFVXVNaVik0S2FzLai112QYpryi+lnRc8O55pZXVEuU3NHT17/s4Sg9KRSLKctDqVS6+e/uO9bbyI6pJgyk6eGdVv1jKSgs++JbR+2yyJu4PGpr64Zb+1s6hzR4mAUTAIYOoWnVP5OS0opvh7tLSRzFi4nLQ6lUVlbJhlv7u3rHUIXoCKTp4bUn/2dSWlbZ4xcPN//dWn/1pi8PpVKpUCiWB+4nTiFGXu+aGJVVstKyylclhVVBYVn/332Cth7X5bH4WsgDSErNmLl4S7Emh6aUV5T0jNw5XtvvZD3RsZ7XSB5KpZJhGDrFeh3Q17f8esmDQtEIKg8KRRAqDwpFECoPCkUQKg8KRRAqDwpFECoPCkUQKg8KRRAqDwpFECoPCkUQKg8KRRAqDwpFECoPCkUQKg8KRRAqDwpFECoPCkUQKg8KRRAqDwpFECoPCkUQKg8KRRAqDwpFECoPCkWQ/wfDsKon/dgcOAAAAABJRU5ErkJggg==[/img]

Information: Beispiel Mäuse - nicht stabile Verteilung