[size=150]Cualquier trazo que dibujemos, siempre y cuando no se "solape" o, se "doble" sobre sí mismo, podemos considerarlo una curva... Las curvas serán los "objetos" desde los que comenzaremos a entender uno de los conceptos más centrales de la matemática... [color=#000000]Las Funciones[/color][/size]
[size=150]Las curvas que nos interesa estudiar no pueden tener más de un punto en cada vertical, esto sería equivalente a decir, por ejemplo, que una persona tiene [color=#980000]más de un valor de temperatura; [/color]o que un edificio [color=#980000]tiene más de una altura[/color], es decir, [color=#0000ff]las curvas que estudiaremos serán útiles a la hora de representar o modelar variables físicas que alcanzan un valor para cada punto...[/color] esto lo profundizaremos... pero antes...[br][/size][size=150][color=#000000]Veamos algunos ejemplos...[/color][/size]
[size=150]Estos dos primeros ejemplos nos muestran algo nuevo: [b][color=#980000]hemos señalado unas subdivisiones, a modo de recuadro, para poder "ver" medidas, unidades, tamaños...[/color][/b][/size]
[size=150]También algo que debemos considerar: [color=#980000]los puntos suspensivos al final de un trazo, [b]significan que en esa dirección, la curva se prolonga indefinidamente[/b][color=rgb(102, 102, 102)].[/color][/color][/size]
[size=150]Completamos así seis ejemplos... con estos haremos el trabajo de ejemplificar y conceptualizar... [color=#980000]Verifica que efectivamente son curvas...[/color][/size]
[color=#ff0000][size=150]Una vez que es comprendido el concepto de [b]curva[/b], pasemos a abordar la noción de "[b]altura[/b]"...[br][color=#0000ff]La altura es, justamente, la "medida" vertical para cada punto de la curva... veamos un dibujo:[br][justify][color=#ff0000][size=150][/size][/color][/justify][img]data:image/png;base64,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[/img][br][/color][/size][/color][br][size=150]En la curva mostrada en la imagen, hemos identificado cinco puntos en el eje x y sus respectivas alturas...[br][b]¿Puedes identificar los puntos del eje x señalados y sus respectiva alturas?[/b][/size]
En el ejemplo 1, cuánto vale[br][br][img]data:image/png;base64,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[/img]
En el ejemplo 2, cuánto vale[br][br][img]data:image/png;base64,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[/img]
En el ejemplo 3, cuál sería la secuencia de respuestas correctas...[br][br][img]data:image/png;base64,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[/img]