Ziel der Differenzialrechnung

Eigentlich kann man sagen, das Ziel der Differenzialrechnung ist es, auch bei gebogenen Graphen mit dem Begriff [i]Steigung[/i] arbeiten zu können. [br][br]Die Steigung bei Geraden kennst du ja schon (keine Sorge, das wird in diesem Material auch noch mal wiederholt):[br][br][img]data:image/png;base64,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[/img][br]Jedenfalls ist klar: Bei Geraden ist die Steigung überall gleich (sie sind ja gerade!).[br][br][br]Anders ist das bei gebogenen Graphen:[br][br][img]data:image/png;base64,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[/img][br]Da müsste man ja für jeden einzelnen Punkt immer eine andere Steigung angeben. Und geht das dann auch mit einem Steigungsdreieck? Immerhin ist die Linie ja gekrümmt...[br][br]Genau: [br]Du siehst, da muss man wohl etwas Hirnschmalz investieren. Und genau das kannst du mit diesem Material tun.[br][br]

Information: Ziel der Differenzialrechnung