[justify]Um robô, que tem um ímã em sua base, se desloca sobre a superfície externa de um cubo metálico, ao longo de segmentos de reta cujas extremidades são pontos médios de arestas e centros de faces. Ele inicia seu deslocamento no ponto P, centro da face superior do cubo, segue para o centro da próxima face, converte à esquerda e segue para o centro da face seguinte, converte à direita e continua sua movimentação, sempre alternando entre conversões à esquerda e à direita quando alcança o centro de uma face. O robô só termina sua movimentação quando retorna ao ponto P. A figura apresenta os deslocamentos iniciais desse robô.[br][/justify][center][/center][center][/center][img]data:image/png;base64,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[/img][br][justify]A projeção ortogonal do trajeto descrito por esse robô sobre o plano da base, após terminada sua movimentação, visualizada da posição em que se está enxergando esse cubo, é:[img]data:image/png;base64,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[/img][/justify]
1) Antes de abrir o Geogebra e visualizar o applet da atividade, responda:[br][br]
[justify]a) Você sabe explicar o que são vértices, faces e arestas de um poliedro? Escreva com suas palavras.[br][br][/justify]
b) Você sabe explicar o que é a projeção ortogonal de um sólido geométrico? Discuta com seus amigos e com seu professor e escreva com as suas palavras.[br]
c) Caso você não tenha conseguido responder a questão anterior pense na sombra de um objeto quando o sol está a pino, ou seja, qual seria o formato da sombra de uma esfera? E qual seria o formato da sombra de um cubo?[br]
d) Com base nessas informações, como você explicaria a projeção ortogonal ou vista ortogonal?
3) Utilize a ferramenta [img]data:image/png;base64,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[/img] trace um cubo qualquer.
[br][br]a) Descreva como você desenharia o caminho feito pelo robô até o último ponto apresentado na questão?
b) Existe alguma ferramenta que faz o que a questão pede?
c) A ferramenta [img]data:image/png;base64,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[/img]serve para marcar o ponto médio de um segmento de reta ou para marcar o centro de uma face de um poliedro, utilizando esta ferramenta marque os centros das faces e os pontos médios dos segmentos que pertencem ao caminho. Caso seja necessário utilize a ferramenta [img]data:image/png;base64,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[/img]para girar a janela de visualização e ao final clique em visualização [img]data:image/png;base64,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[/img]para retornar à janela de visualização inicial.
[br]d) Utilize a ferramenta [img]data:image/png;base64,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[/img]para traçar o caminho percorrido pelo robô ligando todos os pontos marcados no item anterior e respeitando a direção proposta pela figura.
e) Utilizando as mesmas ferramentas acima, complete o aminho até o robô voltar ao ponto P, cuidado com as direções a serem seguidas.
4) Em seguida clique na ferramenta [img]data:image/png;base64,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[/img]e construa um plano que passe pelos pontos A, B e C do cubo, ou seja, o plano da base do cubo.[br][br]
5) De acordo com o que você respondeu na questão 1 e utilizando a geometria dinâmica do Geogebra 3D, descreva como você pode encontrar a projeção ortogonal do trajeto descrito por esse robô sobre o plano da base, após terminada sua movimentação?[br]
6) Qual foi a alternativa correta?