ÁLGEBRA LINEAR II
Verifique se o vetor dado
= (7, 8, 9) pertence ou não ao subespaço vetorial com
1= (2, 1, 4) ;
2 = (1, -1, 3) e
3 = (3, 2, 5); e assinale a alternativa que indica os valores reais de a, b e c na combinação linear definida por
= a
1+ b
2 + c
3
Com os valores reais em a = 0; b = - 1 e c = 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 0; b = 2 e c = - 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 0; b = - 2 e c = 2, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 1; b = - 2 e c = - 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 0; b = - 2 e c = 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Sejam V um espaço vetorial e W um subconjunto não vazio de V. Dizemos que W é um subespaço vetorial de V, ou simplesmente um subespaço de V, se W, com as operações de adição em V e de multiplicação de vetores de V por escalares, é um espaço vetorial.
Assim, dado um espaço vetorial V, um subconjunto W, não vazio, será um subespaço vetorial de V se:
1. Para quaisquer u, v ∈ W tivermos u + v ∈ W.
2. Para quaisquer a ∈ K, u ∈ W tivermos a.u ∈ W.
Verificar que os seguintes subconjuntos R3 são ou não são subespaços vetoriais de
S = {(x, y, z) ∈ R3 | (2x +3y – 4z = 0)}}. A seguir identifique a alternativa que mostra se o subconjunto a seguir de R3 pode ser considerado ou não, um subespaço vetorial, justificado pelas propriedades e operações usuais:
O subconjunto S = {(x, y, z) ∈ R3 | 2x - 3y + 4z = 10} de R3 satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 satisfaz apenas uma das condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 não satisfaz as duas condições para ser subespaço vetorial de R3 sobre R, por pertencer a subespaços próprios.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 não satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
Ao Verificar se A = {(1,-3), (-3,9)} é uma base de R2 .
Podemos afirmar que
A é base de R2, pois A é Linearmente Dependente.
A não é base de R2, pois A é Linearmente Dependente.
A é base de R2, pois A é Linearmente independente.
A não é base de R2, pois a1 = 2 a2.
A não é base de R2, pois A é Linearmente Independente.
Dada a matriz A de uma transformação linear T: V
V .Determinando os autovalores de A=
teremos como solução:
λ 1= 2 e λ 2 = - 12.
λ 1= - 2 e λ 2 = 2.
λ 1= - 2 e λ 2 = - 12.
λ 1= 2 e λ 2 = 12.
λ 1= - 2 e λ 2 = 12.
Sejam V um espaço vetorial e A = { v1, v2, ..., vn} está contido em V.
A equação a1v1 + a2v2 + ... + anvn = 0, admite, pelo menos, uma solução, chamada de solução trivial: a1 = a2 = a3 = 0
Diz-se que o conjunto A é linearmente independente (LI) quando a equação admitir apenas a solução trivial. E se existirem soluções diferentes de zero, diz-se que o conjunto A é linearmente dependente.
Com base nessas informações verifique se o espaço vetorial V = IR3, os vetores v1 = (2, -1, 3),
v2 = (-1, 0, -2) e v3 = (2, -3, 1), formam um conjunto:
Linearmente independente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 5
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fvpe/ecQvdeu8P9NcgvxPOQAAEQAAEQAAE+kggW4SeddQR9PbDDqdDDzuEDn3DoXT4G46kw99wNB126JCOOOxIOvLodbR2v9+nP9znBfT8Yz/fR/9h84wQWN6xQtu3LNEdN91JCxdeQVde9nX6wV330qZtm+nR7Rvp0ZUttI2Its+IvTADBEAABEAABEBgMgLZIvTUtWvomAPX0GsP2J/WrNmf1rxWHb+aXrP/AXTgmgPowL84jF7+0r1pr9/5TXre8N8mswSj92gCy8sr9MRjW+iSC/6D/vIVh9Ahaw6nyy79Ij36xOO0iZbosZ3bdBGqXgrBfyAAAiAAAiAAAv0nkC1CifgjdnWs7kOp+1FbjedbHqbvfu09dOZH30YX/w/uUfU/HXadB5s2q7eKd9I937+bTv3HU+n44dvp6quupc1LS/TYyhZ6aPvjOvN2qNdF8R8IgAAIgAAIgEDvCRSKUCJSm/4O9QdK4e6/7aZ/p69ffgFddvMm2rok3ucL0CzQcDCg4UJwAQ0zSWCR5ucGNDe/uCrWraxs0l9uHv7RD+mcU06nvzvueLr5lptoG+2g/9uxkR7cvpG27iTaXvyugzyrD9jqxrjaroUhDQZztEqpV23W7tvR5MFgbp5WZ7bvviTh2SQEKvPQWx8qx0xiVmdjd62tC8MBzeIczxahqizYsUy0tLxCO0gVmTtJf5C6R7pM2x+5mzY+eD89oW+YbsiGanF+biYBZI0uXjQFz2AwIPe/3hXZi/M0p+yPGa4n+5BW43vDtqWHaHn5UbrztpvpnFM/TB/+4Hr63u230f/e832646G76b5ND9JPNm6gbepGfOa/3TPPMg5PemkVY1xtqrfJVI9Cx7EJ7NrNcWyzMXA3I1CZh976UDlmJkjtWlt7WYQuLW2m5a1bSf86k64++eN5GVX7iF4263MDf7XuqkVNmEKjCiqv3XSQe3S319mrC2juSMNq9e4qLq9spI2P/ZCu+doCfeCkk+mUD55Kl11+Of3NP/w9vfLg/emEf30PfefWm2lb9k7o7plnTTimcrB6Ma4239tkqkehYw0BsK2hhD5dEZhGvk1DZlf+zrCcXhahtHUr7bC7/mMbvkmXnH8cnbhuHa0bHkfHrTuXrrzmWvryTdfRWV/6b3pgKVOE6rtte8DjtdxdxdVIzhE46zuG+pGn/XYWLUKJdOImrnXr0nb6yQ8X6fT16+nYN66jk/7p/XTCSSfTqWefQ0e87c205rC1dP5FF9Hm3F8mjeB/t7b3W9rqxbiSEzaZSlBjdAPbMaBhyNgEppFv05A5toP9GdjPIlT9SD1to4duu4Y+9K5X0d4vGNCv7P0y+oOXv4JettdL6I1rX0m/+8ZjaO8TLqU7t6kfso//Zwoe9lhXJ5F/F5E6SiwNesB0WZNWJQBjFaHhI/2x34cbqwjLF6FB7GIhtvF0ryREH+3HxrG2nZufoAfuuove+65/ppfsux+tO+5E+tKV36Tb7/sJLVz7X/RXxx9PJ77v/bQxU4QWbZ1i3jFX9OHq5eHk+VPkJpzTvqkvJiLuwXcVcX0QmZdKtNHvXmkZ0oIeJ760SllCWdwmuw64ealfmynIjdnojRfrlsfGziX2eo6ZE3w9CvsIV5ovfi0XNb5+nB+X1l+Tk46z+XRPp/Q19k6o4+nb4DlrT8p2BaNyPGWcI/Fwtvl+VsS6gmFgq2iI624Z6+4VPgix5lSOk4mR4Ra3S+ZqOVZtvP38GMcvbZOYC16+DRfY3Dfx02NYHiq9vk3h+iDHxFnU5AcFa5rcy+KyRfxLcRL++XmsuFtbWZKU9ZZjKzkx8enDjC+B3TJf01K9K9l3QlXP5Se+QecdvS/90uBn6BkvfT2dd8NmemyZaPHCtbT/swf0U7/6GnrdZ+6hjfYfV/Kk25OY87qtgW02UpegMRnVbRaaxyPWVi1whI52EfF0jzBcdY2xqhah/RQTojjYJm/KaO1TWqZZIPikKchL2LNz8xa65fpv0zve+k466OA30+e/eLV+AeSBx5foyutvpHecdDK9e/2HaEPm799q2E0t76RfsZyLtclxE57XMAhUFGIs+xuG/kvuJg/aPJHnSoYZ1/ZRbUG/ZiNu+9XkWGgTX5Rdfto2uwkEuqM2yrVJyXDyOJkw741NvK/pw6da2gbOd9xxkfUkEWttK9scQ57cV3dcZ5frbT7TPNMs2lxQMkLbLHtd8Djetq3xaRxbfcvjun3GtT5IyWacs11dtfY3yZLmlrLLt6Xsv99fS6Wh3aPDay4OfmykX6ZQCfuEMTQjZR4GeiPrgxwTyrYss/nh1qJcDJzPfG768SeqiFOTk06nz8fYH2tL6S3HtskRpjuIVdCQ9sXEJc8qEJdoKBShK3THp9bSmucOaPCsl9CrT/tP2mRfC7393P3oT542oGfOraMzblnWP58T1yEnk+tlHFTfNGQSuR7jfYb6QmDjSc6PsnpHCrKQmNggRK/06TSK0GzhZGLYrJPOMu0HT1B3IfO5YxN95ZKL6C3Dt9BHP/YZ2rDN/FOw9z38BJ35iQvpTce9nc777OdoQ/gjDVZoGPe4tmnlndQW2jP1PBw3f7Ixln7JRddd5wsWP3bX1adsl+e2r+eH6VPKsdgaEuXdyE7orrWRu6WPI3Y2uoLObUOEvdmECvMnNU6uP9IGeW4tkfyqbGi9aI8idrUX1VEtdzcq7C9tVT3zsXayxGfRVtHfFcBJxqGtRkKq3ck31/M5npcRY5JmbfV6/ufkp66l2p1fGlj0ly5S+eX7kZAvctgfE1+fyvlhdOVjEJftF9oJmy0S39ZU37DdH9cIi7LVV73Ymv5RGVZU/CO0w0qK/9KRjkth3YooKhShN9GnX/9CevaTn0TPO/C9dOHd5jbUCn2HPnnUb9EvP+mptM+fn0LXPbjk/aKoryfcjJvr2mh1+9mv+rmj49wd9RNO6k+BbaxSmdb8tXv4OI31Y4c6wFE/WKfsobHLv/0/jq3mMYp7NB5MqsAGyUd0iCRz08Nec7r8z1hMm5HBwbYH76BPnP4+esubj6ELLrqIHtq0jR7dTvT5r1xFhxw9pHXHv5OuueFGSv8GQ8EPrrGJr7TRytDfmOU1LqDuOJ2H3eox1sj8GUFHLsYRV+OLGeOflMf6KLmpfjo+ln9ljsVs8vlbR5zsBfOrEOH8EDY2BU5qnXKAwnFmTZCLsu0nHlNyO2K+NHfGRh3n/HW/vSTPGyypuyzOv9Rn2R850sRF8EzlQnBHMF4IZGPtfHeyMgylrfI8GhvHdISc8uRW5niUmxUUtcv52yRXJlZJ/pl5Gsj3vDInjk0TA9fs55sb6fmRsknI9MYkvigU86MyBlKXtlvYUx2nlH8RrmW9mdhauFEZDnziM+pLJauEyKA5W4Qubfgk/cvvPZeeMvgN+tO3Xm5+Q07dibrnAvrrfZ5FT/q5F9LB7/4qbck8Im0WT/nt0Vvc5bsrakM1736MU4R63wC9QE8qN+CnG3RwJ/yreCODb1hj2Kp9HbV4ssnbLFTCR4/fCNdE19Lpfd+7nt57wrF02Nr96IzTP0DXXH8dfebyr9IBRx5Lrz9ySFd8/Vr9TyQ8kRRk/YjkmRzSTiyRd4vzNHQ/TqkWlhQTKTB5bgpDncOcY+d67MbcvN5iNo5qX7htSV/aC/HFjOVRUh7ro8Sl+vFFPdWnNUcfxWzKbjxjFAxunsfe2WrWOa/A4fNZmWnywcuriH+hL+OOi9yJ4mwZQ6lTnrOu7LDOLjbAO/R4RjiYziJnxi0yKtl7BkZOolwc0zFySqtI+h4xwPmv86zNr6hdXjFTiFXOhuS1MDaBxY5NT4rQ0pIf5ZzzMRenEbjm9RZia4MSlREELN6gxzpfknbHx5Za80XofWfQiS96Dg0GL6Y1J3ybNippD15Plx31SnreU59Mg+cfQX97xW304y2LdPGVNyZ1RZ23jqgN2jjYTqhG0MJw7B9LdzoXYr9POoHcxjZ74AqaUvLKcd55Lqij2KrldFyEJiaYsd8k/3hfFDwCtHjHDXTumR+g97zjKDr0tfvS037hZ+mnn/4c2veAo+hL13xX/UItLa8QLY347rGvpS18snmnBim/JwqqJWR/IDiah13pyeVPjY5sjI0f/P/d3PL3FZ4L/NgbqR/jtPmS6OfZk+jDxbqNWXwByRahiym5qXarMMW6Zu7FxkbaAr6RPrECPhinTPZYRs6tW3KsPBe4zWmlXdGxrrGRkeIetsdsy8e6nffelG50O2PKnzHdLePQViMx1e70la67fuxT2B61i7/6IPprSV5bzobUtVQ7s1Pmn70Ut1fe5U7IFzKlLHmuVBbzg7Ni5svDmOw2/rJ3mHf++IR/EVv8cVaP4xD78uPF1vSPyoiYnGxqZKbsTo7MXsgWofTIFXTOQb9Nz/z5Z9KLXncynX/1VXT5JevpnX/2YnrxM36RnrLXGnr1h86j075xKb3tnCuSisIEsN+gmk3DOBVs+rECzIH3d8BQt+5nHk23m57tFpMbSii2GL/E3TQ5qmhv4dvkKLbqJOm2CA1j5ztorgudyucmtn7/aZ6VbG3uVjW2JfJO30EQPknDi3G1A3J52ImeQv5U6PC4VfilFzP1rbjhGN6JNX18hqbN/7IZ9Gt4tWNrckzLYfYo+p5fLn7Mv0C3K2b5HWXVn8tl451I82lzSd8tYK/E8LHB3TgbO/EUJfRF5mntuEjR2Wwkwnrxr6mENvj9PZ+byi5ulzcyw7MqHi5GHtdyrMO70BFbk7FtPYhyYeNqfWglmqNijme4KQlGb25OlnMotF2NMfM1vOZ0+vNZ+hX7stTYK2IYaw/0atb+qxy6D5Mlz5Xc0lrQ9mnXHdWmC8yCbK8IrYmTlCde4zM++1xjPrV6y7E1rvj50Y7Xnob/l/GlmK+htGRLvgilR+iuTx9Aa/ayi+pTf52ef9RZdN09F9PH1/4x/ZpacJ++Dx1wwgLdmvuXbHTitMFNOiAWYwVJFpDRsVH33CLT6m26ReQ216oPbODlpqPPW51Fe+2m4L9Pyf65zE5sDZ0ydrHNsvGjtV2Niia/EBfIYpNMdJ3uqcgzqSwaCz3G/yKhfG72VSnEnkdlRfum87ATPYX8qdHBY1zjV9PfsjO56+eNQlGbF1qeyz+VO5EvUyVZjU0sBmaMv5jLhbckV4nz7JNrVKPPxNnPGxt7Ph88ZirPzDrCx8V8MXa383W0cX5suD9ufZU65Xnjpjyo8Ccc0vqhcof7Xh0PzrTJtXysSwyNbp9V1Hahe5ycknLVecl3HjfJrYmXFw/hi3ctk3tuLg7YPlRhX8wn1cbtTuWbG9v44RrEeP2FUKwPcow8V6IM20J+NP1YfopYx2TL+Os+jCHP79j4UtwbhsIWT29tbJmM6nxP+FJjNwtj8rBQhCbHjXjBLLQuAasHRwqwWBDj8iIbgOsYkesudf1Zb29C8yraGlowZtxCQavUMqm9sUIibnp9XGN5OA090s5aHT6zGr9q+khrdvfz6CbXbGpi89vdYfTUvz7ndae26yIPOdvTNK42u9OcqdYadlylItR+E2FVeGgKbzEbY3t30E0I086/WfBR3rG9Q+T3Tcn1RnZ4MoK9gdbVtjUwwDyK4I8mI11mrUkXA9V5JqwX3ybjf4CixowQ11geTkOPcEXe9Un6om0ZbX7NyuIlXd6V5+6uQHS98Rt3pZnQnSQwwpxOyth1F7qdk+YL7Mg3jXad+9A8MoHZyfdVK0JH2rgTQPVCX7mg60m5iwuoUexNuLwLm/u6EE1/co0S10nycBQ94yWKH+Nafd1ueONZPoujND/26Ep9icZGPouRCm2qzf1w5Gy0dDMnzXpgbv6IR/mz4Sas6IjALOX7KhahHdGDGBAAARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+zROhZkAAAVmSURBVBDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4T2IVF6CLNzw1oMDdPixzjwpAGg4H533CBiBL9+BgcgwAIgAAIgAAIgAAI9IrAjBWhCzQcDGhunpelKEJ7lVEwFgRAAARAAARAAAQqCOzCIjRi3eI8zQ3myKtBI93QBAIgAAIgAAIgAAIg0G8Cs1WE6kfxKEL7nVKwHgRAAARAAARAAATKBLJF6MJQvZs5JPVmJv9Pt/N3Ofl7nOp9Tv0uZztC9x8u0OL8nH3f08jkcowu+y6ofSfUieH9nNRWlhnj+prr9hG+e7d0MCD/upPCPit9IK+fZaPv4DrbRRFt+/uvGDC9OAQBEAABEAABEACBPZBAtgh1BZdfwPnvbZpikBeqtgBkg5oCkxeuRBQUl7pgE0VcpJ/Ryfspm5wNRj9Tb4tf3t+P9Hg+8ELX1+39sRWKUB82zkAABEAABEAABECAiPJFqP3LdO8uni6qXNFlClJe8GmqXh9bbDZFYst9vCLUL4JbaZkje6cysNMYq/8YKrgW80EU0WHxqitmGuC91kwwcAkEQAAEQAAEQAAEikUombuIrPjShaOr2LzH0O5xtPts7zwGxaYlH7Trwq8d5wLk9csWlG4Ev0vp7Ek8kp/ABxShjjc+QQAEQAAEQAAEQGA0AoU7oepnOvlfrIs7n1UFYeSxu7XRKy5VWydFqLHRey81Z2fuGmMZ2KrRqHdc3V3hxincCWXccAgCIAACIAACIAACMQLlIpQ/kldFIrsrSlT3aDxWwCljgvaaIrSkM1ZUxtoaGuP7gDuhDUQcgAAIgAAIgAAIgMBIBCqKUHuHcm6e5ofyh+Tt43r5DqQoVoNi05oYtFcVoe4dU/7YXhWS7o6kvBPaPpp3bxFIQqaY5PJan93P5ge21t4J1T6F3KQNOAcBEAABEAABEACBPYlAXRFq7z6m/uDGFHHtu5f+3dLIHU9LOCjsKotQNVyPTf0Eky383D//OVwwhWmqCFXyxvGh6k4oitA9aT7BVxAAARAAARAAgUoClUVopTR0AwEQAAEQAAEQAAEQAIEKAihCKyChCwiAAAiAAAiAAAiAQLcEUIR2yxPSQAAEQAAEQAAEQAAEKgigCK2AhC4gAAIgAAIgAAIgAALdEkAR2i1PSAMBEAABEAABEAABEKgggCK0AhK6gAAIgAAIgAAIgAAIdEsARWi3PCENBEAABEAABEAABECgggCK0ApI6AICIAACIAACIAACINAtARSh3fKENBAAARAAARAAARAAgQoCKEIrIKELCIAACIAACIAACIBAtwRQhHbLE9JAAARAAARAAARAAAQqCKAIrYCELiAAAiAAAiAAAiAAAt0S+H+3rVgSA2uAvgAAAABJRU5ErkJggg==)
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
Com os valores reais em a = 0; b = - 1 e c = 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 0; b = 2 e c = - 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 0; b = - 2 e c = 2, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 1; b = - 2 e c = - 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Com os valores reais em a = 0; b = - 2 e c = 3, teremos uma combinação linear pertencente ao subespaço vetorial dado.
Sejam V um espaço vetorial e W um subconjunto não vazio de V. Dizemos que W é um subespaço vetorial de V, ou simplesmente um subespaço de V, se W, com as operações de adição em V e de multiplicação de vetores de V por escalares, é um espaço vetorial.
Assim, dado um espaço vetorial V, um subconjunto W, não vazio, será um subespaço vetorial de V se:
1. Para quaisquer u, v ∈ W tivermos u + v ∈ W.
2. Para quaisquer a ∈ K, u ∈ W tivermos a.u ∈ W.
Verificar que os seguintes subconjuntos R3 são ou não são subespaços vetoriais de
S = {(x, y, z) ∈ R3 | (2x +3y – 4z = 0)}}. A seguir identifique a alternativa que mostra se o subconjunto a seguir de R3 pode ser considerado ou não, um subespaço vetorial, justificado pelas propriedades e operações usuais:
O subconjunto S = {(x, y, z) ∈ R3 | 2x - 3y + 4z = 10} de R3 satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 satisfaz apenas uma das condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 não satisfaz as duas condições para ser subespaço vetorial de R3 sobre R, por pertencer a subespaços próprios.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 não satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
Ao Verificar se A = {(1,-3), (-3,9)} é uma base de R2 .
Podemos afirmar que
A é base de R2, pois A é Linearmente Dependente.
A não é base de R2, pois A é Linearmente Dependente.
A é base de R2, pois A é Linearmente independente.
A não é base de R2, pois a1 = 2 a2.
A não é base de R2, pois A é Linearmente Independente.
Dada a matriz A de uma transformação linear T: V
V .Determinando os autovalores de A=
teremos como solução:
λ 1= 2 e λ 2 = - 12.
λ 1= - 2 e λ 2 = 2.
λ 1= - 2 e λ 2 = - 12.
λ 1= 2 e λ 2 = 12.
λ 1= - 2 e λ 2 = 12.
Sejam V um espaço vetorial e A = { v1, v2, ..., vn} está contido em V.
A equação a1v1 + a2v2 + ... + anvn = 0, admite, pelo menos, uma solução, chamada de solução trivial: a1 = a2 = a3 = 0
Diz-se que o conjunto A é linearmente independente (LI) quando a equação admitir apenas a solução trivial. E se existirem soluções diferentes de zero, diz-se que o conjunto A é linearmente dependente.
Com base nessas informações verifique se o espaço vetorial V = IR3, os vetores v1 = (2, -1, 3),
v2 = (-1, 0, -2) e v3 = (2, -3, 1), formam um conjunto:
Linearmente independente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 5
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)
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
O subconjunto S = {(x, y, z) ∈ R3 | 2x - 3y + 4z = 10} de R3 satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 satisfaz apenas uma das condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 não satisfaz as duas condições para ser subespaço vetorial de R3 sobre R, por pertencer a subespaços próprios.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 não satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
O subconjunto S = {(x, y, z) ∈ R3 | 2x + 3y - 4z=0} de R3 satisfaz as duas condições para ser subespaço vetorial de R3 sobre R.
Ao Verificar se A = {(1,-3), (-3,9)} é uma base de R2 .
Podemos afirmar que
A é base de R2, pois A é Linearmente Dependente.
A não é base de R2, pois A é Linearmente Dependente.
A é base de R2, pois A é Linearmente independente.
A não é base de R2, pois a1 = 2 a2.
A não é base de R2, pois A é Linearmente Independente.
Dada a matriz A de uma transformação linear T: V
V .Determinando os autovalores de A=
teremos como solução:
λ 1= 2 e λ 2 = - 12.
λ 1= - 2 e λ 2 = 2.
λ 1= - 2 e λ 2 = - 12.
λ 1= 2 e λ 2 = 12.
λ 1= - 2 e λ 2 = 12.
Sejam V um espaço vetorial e A = { v1, v2, ..., vn} está contido em V.
A equação a1v1 + a2v2 + ... + anvn = 0, admite, pelo menos, uma solução, chamada de solução trivial: a1 = a2 = a3 = 0
Diz-se que o conjunto A é linearmente independente (LI) quando a equação admitir apenas a solução trivial. E se existirem soluções diferentes de zero, diz-se que o conjunto A é linearmente dependente.
Com base nessas informações verifique se o espaço vetorial V = IR3, os vetores v1 = (2, -1, 3),
v2 = (-1, 0, -2) e v3 = (2, -3, 1), formam um conjunto:
Linearmente independente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 5
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)
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
A é base de R2, pois A é Linearmente Dependente.
A não é base de R2, pois A é Linearmente Dependente.
A é base de R2, pois A é Linearmente independente.
A não é base de R2, pois a1 = 2 a2.
A não é base de R2, pois A é Linearmente Independente.
Dada a matriz A de uma transformação linear T: V
V .Determinando os autovalores de A=
teremos como solução:
λ 1= 2 e λ 2 = - 12.
λ 1= - 2 e λ 2 = 2.
λ 1= - 2 e λ 2 = - 12.
λ 1= 2 e λ 2 = 12.
λ 1= - 2 e λ 2 = 12.
Sejam V um espaço vetorial e A = { v1, v2, ..., vn} está contido em V.
A equação a1v1 + a2v2 + ... + anvn = 0, admite, pelo menos, uma solução, chamada de solução trivial: a1 = a2 = a3 = 0
Diz-se que o conjunto A é linearmente independente (LI) quando a equação admitir apenas a solução trivial. E se existirem soluções diferentes de zero, diz-se que o conjunto A é linearmente dependente.
Com base nessas informações verifique se o espaço vetorial V = IR3, os vetores v1 = (2, -1, 3),
v2 = (-1, 0, -2) e v3 = (2, -3, 1), formam um conjunto:
Linearmente independente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 5
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fvpe/ecQvdeu8P9NcgvxPOQAAEQAAEQAAE+kggW4SeddQR9PbDDqdDDzuEDn3DoXT4G46kw99wNB126JCOOOxIOvLodbR2v9+nP9znBfT8Yz/fR/9h84wQWN6xQtu3LNEdN91JCxdeQVde9nX6wV330qZtm+nR7Rvp0ZUttI2Its+IvTADBEAABEAABEBgMgLZIvTUtWvomAPX0GsP2J/WrNmf1rxWHb+aXrP/AXTgmgPowL84jF7+0r1pr9/5TXre8N8mswSj92gCy8sr9MRjW+iSC/6D/vIVh9Ahaw6nyy79Ij36xOO0iZbosZ3bdBGqXgrBfyAAAiAAAiAAAv0nkC1CifgjdnWs7kOp+1FbjedbHqbvfu09dOZH30YX/w/uUfU/HXadB5s2q7eKd9I937+bTv3HU+n44dvp6quupc1LS/TYyhZ6aPvjOvN2qNdF8R8IgAAIgAAIgEDvCRSKUCJSm/4O9QdK4e6/7aZ/p69ffgFddvMm2rok3ucL0CzQcDCg4UJwAQ0zSWCR5ucGNDe/uCrWraxs0l9uHv7RD+mcU06nvzvueLr5lptoG+2g/9uxkR7cvpG27iTaXvyugzyrD9jqxrjaroUhDQZztEqpV23W7tvR5MFgbp5WZ7bvviTh2SQEKvPQWx8qx0xiVmdjd62tC8MBzeIczxahqizYsUy0tLxCO0gVmTtJf5C6R7pM2x+5mzY+eD89oW+YbsiGanF+biYBZI0uXjQFz2AwIPe/3hXZi/M0p+yPGa4n+5BW43vDtqWHaHn5UbrztpvpnFM/TB/+4Hr63u230f/e832646G76b5ND9JPNm6gbepGfOa/3TPPMg5PemkVY1xtqrfJVI9Cx7EJ7NrNcWyzMXA3I1CZh976UDlmJkjtWlt7WYQuLW2m5a1bSf86k64++eN5GVX7iF4263MDf7XuqkVNmEKjCiqv3XSQe3S319mrC2juSMNq9e4qLq9spI2P/ZCu+doCfeCkk+mUD55Kl11+Of3NP/w9vfLg/emEf30PfefWm2lb9k7o7plnTTimcrB6Ma4239tkqkehYw0BsK2hhD5dEZhGvk1DZlf+zrCcXhahtHUr7bC7/mMbvkmXnH8cnbhuHa0bHkfHrTuXrrzmWvryTdfRWV/6b3pgKVOE6rtte8DjtdxdxdVIzhE46zuG+pGn/XYWLUKJdOImrnXr0nb6yQ8X6fT16+nYN66jk/7p/XTCSSfTqWefQ0e87c205rC1dP5FF9Hm3F8mjeB/t7b3W9rqxbiSEzaZSlBjdAPbMaBhyNgEppFv05A5toP9GdjPIlT9SD1to4duu4Y+9K5X0d4vGNCv7P0y+oOXv4JettdL6I1rX0m/+8ZjaO8TLqU7t6kfso//Zwoe9lhXJ5F/F5E6SiwNesB0WZNWJQBjFaHhI/2x34cbqwjLF6FB7GIhtvF0ryREH+3HxrG2nZufoAfuuove+65/ppfsux+tO+5E+tKV36Tb7/sJLVz7X/RXxx9PJ77v/bQxU4QWbZ1i3jFX9OHq5eHk+VPkJpzTvqkvJiLuwXcVcX0QmZdKtNHvXmkZ0oIeJ760SllCWdwmuw64ealfmynIjdnojRfrlsfGziX2eo6ZE3w9CvsIV5ovfi0XNb5+nB+X1l+Tk46z+XRPp/Q19k6o4+nb4DlrT8p2BaNyPGWcI/Fwtvl+VsS6gmFgq2iI624Z6+4VPgix5lSOk4mR4Ra3S+ZqOVZtvP38GMcvbZOYC16+DRfY3Dfx02NYHiq9vk3h+iDHxFnU5AcFa5rcy+KyRfxLcRL++XmsuFtbWZKU9ZZjKzkx8enDjC+B3TJf01K9K9l3QlXP5Se+QecdvS/90uBn6BkvfT2dd8NmemyZaPHCtbT/swf0U7/6GnrdZ+6hjfYfV/Kk25OY87qtgW02UpegMRnVbRaaxyPWVi1whI52EfF0jzBcdY2xqhah/RQTojjYJm/KaO1TWqZZIPikKchL2LNz8xa65fpv0zve+k466OA30+e/eLV+AeSBx5foyutvpHecdDK9e/2HaEPm799q2E0t76RfsZyLtclxE57XMAhUFGIs+xuG/kvuJg/aPJHnSoYZ1/ZRbUG/ZiNu+9XkWGgTX5Rdfto2uwkEuqM2yrVJyXDyOJkw741NvK/pw6da2gbOd9xxkfUkEWttK9scQ57cV3dcZ5frbT7TPNMs2lxQMkLbLHtd8Djetq3xaRxbfcvjun3GtT5IyWacs11dtfY3yZLmlrLLt6Xsv99fS6Wh3aPDay4OfmykX6ZQCfuEMTQjZR4GeiPrgxwTyrYss/nh1qJcDJzPfG768SeqiFOTk06nz8fYH2tL6S3HtskRpjuIVdCQ9sXEJc8qEJdoKBShK3THp9bSmucOaPCsl9CrT/tP2mRfC7393P3oT542oGfOraMzblnWP58T1yEnk+tlHFTfNGQSuR7jfYb6QmDjSc6PsnpHCrKQmNggRK/06TSK0GzhZGLYrJPOMu0HT1B3IfO5YxN95ZKL6C3Dt9BHP/YZ2rDN/FOw9z38BJ35iQvpTce9nc777OdoQ/gjDVZoGPe4tmnlndQW2jP1PBw3f7Ixln7JRddd5wsWP3bX1adsl+e2r+eH6VPKsdgaEuXdyE7orrWRu6WPI3Y2uoLObUOEvdmECvMnNU6uP9IGeW4tkfyqbGi9aI8idrUX1VEtdzcq7C9tVT3zsXayxGfRVtHfFcBJxqGtRkKq3ck31/M5npcRY5JmbfV6/ufkp66l2p1fGlj0ly5S+eX7kZAvctgfE1+fyvlhdOVjEJftF9oJmy0S39ZU37DdH9cIi7LVV73Ymv5RGVZU/CO0w0qK/9KRjkth3YooKhShN9GnX/9CevaTn0TPO/C9dOHd5jbUCn2HPnnUb9EvP+mptM+fn0LXPbjk/aKoryfcjJvr2mh1+9mv+rmj49wd9RNO6k+BbaxSmdb8tXv4OI31Y4c6wFE/WKfsobHLv/0/jq3mMYp7NB5MqsAGyUd0iCRz08Nec7r8z1hMm5HBwbYH76BPnP4+esubj6ELLrqIHtq0jR7dTvT5r1xFhxw9pHXHv5OuueFGSv8GQ8EPrrGJr7TRytDfmOU1LqDuOJ2H3eox1sj8GUFHLsYRV+OLGeOflMf6KLmpfjo+ln9ljsVs8vlbR5zsBfOrEOH8EDY2BU5qnXKAwnFmTZCLsu0nHlNyO2K+NHfGRh3n/HW/vSTPGyypuyzOv9Rn2R850sRF8EzlQnBHMF4IZGPtfHeyMgylrfI8GhvHdISc8uRW5niUmxUUtcv52yRXJlZJ/pl5Gsj3vDInjk0TA9fs55sb6fmRsknI9MYkvigU86MyBlKXtlvYUx2nlH8RrmW9mdhauFEZDnziM+pLJauEyKA5W4Qubfgk/cvvPZeeMvgN+tO3Xm5+Q07dibrnAvrrfZ5FT/q5F9LB7/4qbck8Im0WT/nt0Vvc5bsrakM1736MU4R63wC9QE8qN+CnG3RwJ/yreCODb1hj2Kp9HbV4ssnbLFTCR4/fCNdE19Lpfd+7nt57wrF02Nr96IzTP0DXXH8dfebyr9IBRx5Lrz9ySFd8/Vr9TyQ8kRRk/YjkmRzSTiyRd4vzNHQ/TqkWlhQTKTB5bgpDncOcY+d67MbcvN5iNo5qX7htSV/aC/HFjOVRUh7ro8Sl+vFFPdWnNUcfxWzKbjxjFAxunsfe2WrWOa/A4fNZmWnywcuriH+hL+OOi9yJ4mwZQ6lTnrOu7LDOLjbAO/R4RjiYziJnxi0yKtl7BkZOolwc0zFySqtI+h4xwPmv86zNr6hdXjFTiFXOhuS1MDaBxY5NT4rQ0pIf5ZzzMRenEbjm9RZia4MSlREELN6gxzpfknbHx5Za80XofWfQiS96Dg0GL6Y1J3ybNippD15Plx31SnreU59Mg+cfQX97xW304y2LdPGVNyZ1RZ23jqgN2jjYTqhG0MJw7B9LdzoXYr9POoHcxjZ74AqaUvLKcd55Lqij2KrldFyEJiaYsd8k/3hfFDwCtHjHDXTumR+g97zjKDr0tfvS037hZ+mnn/4c2veAo+hL13xX/UItLa8QLY347rGvpS18snmnBim/JwqqJWR/IDiah13pyeVPjY5sjI0f/P/d3PL3FZ4L/NgbqR/jtPmS6OfZk+jDxbqNWXwByRahiym5qXarMMW6Zu7FxkbaAr6RPrECPhinTPZYRs6tW3KsPBe4zWmlXdGxrrGRkeIetsdsy8e6nffelG50O2PKnzHdLePQViMx1e70la67fuxT2B61i7/6IPprSV5bzobUtVQ7s1Pmn70Ut1fe5U7IFzKlLHmuVBbzg7Ni5svDmOw2/rJ3mHf++IR/EVv8cVaP4xD78uPF1vSPyoiYnGxqZKbsTo7MXsgWofTIFXTOQb9Nz/z5Z9KLXncynX/1VXT5JevpnX/2YnrxM36RnrLXGnr1h86j075xKb3tnCuSisIEsN+gmk3DOBVs+rECzIH3d8BQt+5nHk23m57tFpMbSii2GL/E3TQ5qmhv4dvkKLbqJOm2CA1j5ztorgudyucmtn7/aZ6VbG3uVjW2JfJO30EQPknDi3G1A3J52ImeQv5U6PC4VfilFzP1rbjhGN6JNX18hqbN/7IZ9Gt4tWNrckzLYfYo+p5fLn7Mv0C3K2b5HWXVn8tl451I82lzSd8tYK/E8LHB3TgbO/EUJfRF5mntuEjR2Wwkwnrxr6mENvj9PZ+byi5ulzcyw7MqHi5GHtdyrMO70BFbk7FtPYhyYeNqfWglmqNijme4KQlGb25OlnMotF2NMfM1vOZ0+vNZ+hX7stTYK2IYaw/0atb+qxy6D5Mlz5Xc0lrQ9mnXHdWmC8yCbK8IrYmTlCde4zM++1xjPrV6y7E1rvj50Y7Xnob/l/GlmK+htGRLvgilR+iuTx9Aa/ayi+pTf52ef9RZdN09F9PH1/4x/ZpacJ++Dx1wwgLdmvuXbHTitMFNOiAWYwVJFpDRsVH33CLT6m26ReQ216oPbODlpqPPW51Fe+2m4L9Pyf65zE5sDZ0ydrHNsvGjtV2Niia/EBfIYpNMdJ3uqcgzqSwaCz3G/yKhfG72VSnEnkdlRfum87ATPYX8qdHBY1zjV9PfsjO56+eNQlGbF1qeyz+VO5EvUyVZjU0sBmaMv5jLhbckV4nz7JNrVKPPxNnPGxt7Ph88ZirPzDrCx8V8MXa383W0cX5suD9ufZU65Xnjpjyo8Ccc0vqhcof7Xh0PzrTJtXysSwyNbp9V1Hahe5ycknLVecl3HjfJrYmXFw/hi3ctk3tuLg7YPlRhX8wn1cbtTuWbG9v44RrEeP2FUKwPcow8V6IM20J+NP1YfopYx2TL+Os+jCHP79j4UtwbhsIWT29tbJmM6nxP+FJjNwtj8rBQhCbHjXjBLLQuAasHRwqwWBDj8iIbgOsYkesudf1Zb29C8yraGlowZtxCQavUMqm9sUIibnp9XGN5OA090s5aHT6zGr9q+khrdvfz6CbXbGpi89vdYfTUvz7ndae26yIPOdvTNK42u9OcqdYadlylItR+E2FVeGgKbzEbY3t30E0I086/WfBR3rG9Q+T3Tcn1RnZ4MoK9gdbVtjUwwDyK4I8mI11mrUkXA9V5JqwX3ybjf4CixowQ11geTkOPcEXe9Un6om0ZbX7NyuIlXd6V5+6uQHS98Rt3pZnQnSQwwpxOyth1F7qdk+YL7Mg3jXad+9A8MoHZyfdVK0JH2rgTQPVCX7mg60m5iwuoUexNuLwLm/u6EE1/co0S10nycBQ94yWKH+Nafd1ueONZPoujND/26Ep9icZGPouRCm2qzf1w5Gy0dDMnzXpgbv6IR/mz4Sas6IjALOX7KhahHdGDGBAAARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+zROhZkAAAVmSURBVBDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4TQBHa+xDCARAAARAAARAAARDoHwEUof2LGSwGARAAARAAARAAgd4T2IVF6CLNzw1oMDdPixzjwpAGg4H533CBiBL9+BgcgwAIgAAIgAAIgAAI9IrAjBWhCzQcDGhunpelKEJ7lVEwFgRAAARAAARAAAQqCOzCIjRi3eI8zQ3myKtBI93QBAIgAAIgAAIgAAIg0G8Cs1WE6kfxKEL7nVKwHgRAAARAAARAAATKBLJF6MJQvZs5JPVmJv9Pt/N3Ofl7nOp9Tv0uZztC9x8u0OL8nH3f08jkcowu+y6ofSfUieH9nNRWlhnj+prr9hG+e7d0MCD/upPCPit9IK+fZaPv4DrbRRFt+/uvGDC9OAQBEAABEAABEACBPZBAtgh1BZdfwPnvbZpikBeqtgBkg5oCkxeuRBQUl7pgE0VcpJ/Ryfspm5wNRj9Tb4tf3t+P9Hg+8ELX1+39sRWKUB82zkAABEAABEAABECAiPJFqP3LdO8uni6qXNFlClJe8GmqXh9bbDZFYst9vCLUL4JbaZkje6cysNMYq/8YKrgW80EU0WHxqitmGuC91kwwcAkEQAAEQAAEQAAEikUombuIrPjShaOr2LzH0O5xtPts7zwGxaYlH7Trwq8d5wLk9csWlG4Ev0vp7Ek8kp/ABxShjjc+QQAEQAAEQAAEQGA0AoU7oepnOvlfrIs7n1UFYeSxu7XRKy5VWydFqLHRey81Z2fuGmMZ2KrRqHdc3V3hxincCWXccAgCIAACIAACIAACMQLlIpQ/kldFIrsrSlT3aDxWwCljgvaaIrSkM1ZUxtoaGuP7gDuhDUQcgAAIgAAIgAAIgMBIBCqKUHuHcm6e5ofyh+Tt43r5DqQoVoNi05oYtFcVoe4dU/7YXhWS7o6kvBPaPpp3bxFIQqaY5PJan93P5ge21t4J1T6F3KQNOAcBEAABEAABEACBPYlAXRFq7z6m/uDGFHHtu5f+3dLIHU9LOCjsKotQNVyPTf0Eky383D//OVwwhWmqCFXyxvGh6k4oitA9aT7BVxAAARAAARAAgUoClUVopTR0AwEQAAEQAAEQAAEQAIEKAihCKyChCwiAAAiAAAiAAAiAQLcEUIR2yxPSQAAEQAAEQAAEQAAEKgigCK2AhC4gAAIgAAIgAAIgAALdEkAR2i1PSAMBEAABEAABEAABEKgggCK0AhK6gAAIgAAIgAAIgAAIdEsARWi3PCENBEAABEAABEAABECgggCK0ApI6AICIAACIAACIAACINAtARSh3fKENBAAARAAARAAARAAgQoCKEIrIKELCIAACIAACIAACIBAtwRQhHbLE9JAAARAAARAAARAAAQqCKAIrYCELiAAAiAAAiAAAiAAAt0S+H+3rVgSA2uAvgAAAABJRU5ErkJggg==)
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
λ 1= 2 e λ 2 = - 12.
λ 1= - 2 e λ 2 = 2.
λ 1= - 2 e λ 2 = - 12.
λ 1= 2 e λ 2 = 12.
λ 1= - 2 e λ 2 = 12.
Sejam V um espaço vetorial e A = { v1, v2, ..., vn} está contido em V.
A equação a1v1 + a2v2 + ... + anvn = 0, admite, pelo menos, uma solução, chamada de solução trivial: a1 = a2 = a3 = 0
Diz-se que o conjunto A é linearmente independente (LI) quando a equação admitir apenas a solução trivial. E se existirem soluções diferentes de zero, diz-se que o conjunto A é linearmente dependente.
Com base nessas informações verifique se o espaço vetorial V = IR3, os vetores v1 = (2, -1, 3),
v2 = (-1, 0, -2) e v3 = (2, -3, 1), formam um conjunto:
Linearmente independente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 5
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)
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
Linearmente independente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 - 4v2 – v3 = 0
Linearmente dependente, pois 3v1 + 4v2 – v3 = 5
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)
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
(x1 + x2, y1 - y2 - 1, z1 + z2)
(x1 + x2 - 1, y1 - y2, z1 + z2)
(x1 + x2, y1 - y2 - 2, z1 + z2)
(x1 + x2, y1 - y2, z1 + z2 +1)
(x1 + x2, y1 + y2 - 2, z1 + z2 +1)
![](data:image/png;base64,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)
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
3/8
-3/8
8/3
- 8/3
8
Seja T : IR2
IR 2, um operador linear dado por T (x, y) = ( 2y, x) .
Se T é diagonalizável, pois exista uma base autovetores de T na qual a matriz (2 x 2) de T é expressa pelos elementos:
Linha 1, elementos: a11 = 0 e a12 =
; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = -
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = (
+ 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 =
e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.
Seja o operador linear T: IR2 → IR2, dado por T(x, y) = ( 3x, 8x - y), podemos dizer que o polinômio característico dessa transformação é definido por
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Portanto os valores próprios dessa transformação são:
Linha 1, elementos: a11 = 0 e a12 = ; e na linha 2, elementos a21 =
e a22 = 0.
Linha 1, elementos: a11 = - e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = ( + 1) e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = (
- 1).
Linha 1, elementos: a11 = e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = -
.
Linha 1, elementos: a11 = 2 e a12 = 0; e na linha 2, elementos a21 = 0 e a22 = 2.