Grundkompetenz: FA 1.7, FA 4.4, AN 3.3, AN 4.2
Bei einem Therapieverfahren wird die Körpertemperatur bewusst stark erhöht (künstliches Fieber). Die nebenstehende Grafik dokumentiert näherungsweise den Verlauf des künstlichen Fiebers bei einer solchen Behandlung.[br][br]Die Funktion [math]f[/math] beschreibt den Zusammenhang zwischen Zeit und Körpertemperatur:[br][br][math]f(t)=-0,18\cdot t^3+0,85\cdot t^2+0,6\cdot t+36,6[/math][br][math]t[/math] ... Zeit in Stunden ([math]h[/math]) mit [math]0\le t\le5[/math][br][math]f(t)[/math] ... Körpertemperatur zur Zeit [math]t[/math] in [math]°C[/math][br][br][img]data:image/png;base64,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[/img]
[b][size=150]1) Berechnen Sie denjenigen Zeitpunkt, zu dem die Körpertemperatur [math]37°C[/math] beträgt.[/size][/b]
[b][size=150]1) Dokumentieren Sie, wie die maximale Körpertemperatur im angegebenen Zeitintervall mithilfe der Differenzialrechnung berechnet werden kann.[/size][/b]
[b][size=150]2) Begründen Sie, warum der Graph einer Polynomfunktion 3. Grades höchstens [math]2[/math] Extrempunkte haben kann.[/size][/b]
Die mittlere Körpertemperatur [math]\overline{f}[/math] während der [math]5[/math] Stunden andauernden Behandlung soll ermittelt werden.[br]Die mittlere Körpertemperatur in einem Zeitintervall [math][t_1;t_2][/math] ist:[br][math]\overline{f}=\frac{1}{t_2-t_1}\int_{t_1}^{t_2}f\left(t\right)dt[/math][br][br][br][br][b][size=150]1) Berechnen Sie die mittlere Körpertemperatur [math]\overline{f}[/math] im Intervall [math][0;5][/math].[/size][/b][br]