Resolución de desigualdades de primer y segundo grado con una incógnita.

Desigualdades de primer orden.
Las desigualdades de primer orden o lineales, son aquellas que la incógnita es de grado 1, es decir que tiene exponente 1. Para resolver una desigualdad de primer orden se debe despejar la incógnita. [br][br]Si al despejar la variable existe esta tiene un coeficiente negativo, se invierte la desigualdad.[br][br]Ejemplo 1:[br]       6x – 10 > 3x + 5[br]    6x – 3x > 5 + 10[br]    3x > 15[br]     x > 15/3 [br]     x > 5[br]El intervalo de solución es (5, ∞)[br][br]Ejemplo 2:[br]        3x + 4< 4x - 2[br] 3x - 4x<-2 -4[br] -x < -6[br] x > 6[br]El intervalo de solución es (6, ∞)[br][br]Observa la siguiente applet para ver mas ejemplos de desigualdades de primer orden.[br][br]Da click en paso para ver la solución paso a paso. Da click en otro para pasar a otro ejemplo.
Desigualdades de segundo orden.
[br][justify]Las desigualdades cuadráticas pueden tener uno o dos intervalos de solución si ésta toca o corta al eje x como si se tratase de una ecuación cuadrática, sólo que sus soluciones son intervalos y no números concretos. Si la ecuación cuadrática corta al eje x tiene dos soluciones; si sólo toca el vértice tiene una solución; de lo contrario las soluciones serán imaginarias. Los cuatro posibles casos que se pueden presentar en una ecuación cuadrática son los siguientes. [/justify]
[b][justify][/justify][center][img]data:image/png;base64,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[/img][br][/center]1. Encontrar los puntos críticos[br][img]data:image/png;base64,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[/img][br][/b][br][b]2. Identificar los intervalos[br][/b][br]Con los puntos críticos, dividimos la recta numérica en intervalos:[br][img]data:image/png;base64,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[/img][br][b]3. Elegir puntos de prueba [/b][br][br]Elegimos un punto de prueba en cada intervalo y evaluamos la expresión x[sup]2[/sup]−9[br][img]data:image/png;base64,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Conclusión[br][br][/b]Los intervalos donde la desigualdad x[sup]2[/sup]−9>0 se satisface son (−∞,−3)(3,∞)[br][br] Por lo tanto, la solución es:[br][img]data:image/png;base64,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[/img][br][br][b]¿Por qué elegimos esos números de prueba?[br][/b][br]Cuando estamos resolviendo una desigualdad, como (x[sup]2[/sup] - 9 > 0), necesitamos verificar qué intervalos de la recta numérica satisfacen esa desigualdad. Para hacer esto, seguimos estos pasos:[br][br][list=1][br][*][b]Encontramos los puntos críticos[/b]: Primero, encontramos los puntos en los que la expresión se iguala a cero. En este caso, (x2 - 9 = 0) nos da (x = -3) y (x = 3). Estos puntos dividen la recta en intervalos.[br][br][/*][br][*][br][b]Dividimos en intervalos[/b]: Los puntos críticos dividen la recta en tres intervalos:[br][br][list][*]( -∞, -3)[/*][*](-3, 3)[/*][*](3, ∞ )[/*][/list][br][/*][br][*][br][b]Elegimos un número de prueba en cada intervalo[/b]:[br][br][list][*][b]Para el intervalo (-∞, -3)[/b], elegimos (x = -4):[br][list][*]Este número está claramente en el intervalo y es fácil de calcular.[/*][/list][br][/*][*][b]Para el intervalo (-3, 3)[/b], elegimos (x = 0):[br][list][*]También está en el intervalo y su cálculo es muy sencillo.[/*][/list][br][/*][*][b]Para el intervalo (3, ∞)[/b], elegimos (x = 4):[br][list][*]De nuevo, está en el intervalo y es fácil de manejar.[/*][/list][br][/*][/list][br][/*][br][*][br][b]Evaluamos la expresión[/b]: Calculamos (x[sup]2[/sup] - 9) para cada uno de los números de prueba:[br][br][list][*](x = -4) da (7 > 0) (satisface la desigualdad).[/*][*](x = 0) da (-9 < 0) (no satisface la desigualdad).[/*][*](x = 4) da (7 > 0) (satisface la desigualdad).[/*][/list][/*][/list]

Information: Resolución de desigualdades de primer y segundo grado con una incógnita.