Ya hemos visto gráficas de funciones polinómicas y racionales, mediante la tabulación, ubicación de puntos máximos o mínimos, crecientes o decrecientes, etc. En las funciones racionales hemos notado que hay valores críticos para los cuales la función no está definida o indeterminada, que se evidencian en el trazo como la aproximación de la curva a un eje que denominamos asíntota, en la mayoría de los casos. En algunas situaciones vimos como aparecen puntos vacios o de discontinuidad.
El mentefacto conceptual de arriba permite ubicarnos en las funciones, con la intención de calcular los límites o cercanías hacia ciertos valores, sobre todo los que denominamos críticos. Recordemos algunos casos y la manera como hemos caracterizado la gráfica a partir de tabulaciones y determinaciones de éstas cantidades.
Ejemplo: Graficar la función f si:
![](data:image/png;base64,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)
Solución: Recordemos que una función racional tiene la forma
![](data:image/png;base64,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)
Donde g(x) y h(x) son expresiones polinómicas y h(x) no puede ser cero. Con esta última condición se establecen los valores críticos de la función, los cuales no se le asignan a la variable x.
Para el caso de:
![](data:image/png;base64,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)
se nota, por símple inspección, que x no puede tomar el valor de -1 ya que x+1 (el denominador) para x = -1 se convierte en cero. ¿Cómo calcular este valor crítico?
Como x+1 no puede ser cero, se plantea la desigualdad
![](data:image/png;base64,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)
y se soluciona despejando la incógnita x:
![](data:image/png;base64,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)
Se realiza entonces una tabulación con valores enteros cercanos a este valor crítico, o sea x= -1:
![](data:image/png;base64,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)
Luego se empiezan a calcular las imágenes (valores que arroja la función) para cada uno de los valores propuestos de x. Por ejemplo para x=-6:
![](data:image/png;base64,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)
Nótese que la x se reemplaza por -6 y se indica escribiendo el valor entre paréntesis.
![](data:image/png;base64,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)
Ejemplo: Graficar la función f si:
Solución: Recordemos que una función racional tiene la forma
Donde g(x) y h(x) son expresiones polinómicas y h(x) no puede ser cero. Con esta última condición se establecen los valores críticos de la función, los cuales no se le asignan a la variable x.
Para el caso de:
se nota, por símple inspección, que x no puede tomar el valor de -1 ya que x+1 (el denominador) para x = -1 se convierte en cero. ¿Cómo calcular este valor crítico?
Como x+1 no puede ser cero, se plantea la desigualdad
y se soluciona despejando la incógnita x:
Se realiza entonces una tabulación con valores enteros cercanos a este valor crítico, o sea x= -1:
Luego se empiezan a calcular las imágenes (valores que arroja la función) para cada uno de los valores propuestos de x. Por ejemplo para x=-6:
Nótese que la x se reemplaza por -6 y se indica escribiendo el valor entre paréntesis.
Este valor se va registrando en la tabla de valoresn y así sucesivamente para el resto de cantidades escogidas para x.
![](data:image/png;base64,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)
Para facilitar la comprensión del "comportamiento de la curva", se procede a ubicar en el plano las parejas ordenadas de la tabla. Nótes que para x=0 arroja el corte de la gráfica con el eje y. Más adelante se calculará el corte con el eje x, haciendo y=0.
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIsAAADxCAIAAAB0wtMPAAAJJklEQVR4nO2dPW7kOBBGeTyFvot1k0l1CM0FrAs42GzhSNE6NmAMMBgMwA0kuaUWSf2wqvQ1/T04GNs9aNKPRVGsasp5go27ugFkAxpCh4bQWRj659//+IXwlTJkMSpMcO5Rp4e7ltMQHDSEDg2hQ0Po0BA6NLSD9x+ufXLtk2t/dIufTN9Gea3bJ9c+N5/n35yGtvj8WY16bn/r7vXJtU/V2/vm/x5e6V5fT747DW0TCJcjkTEK3oy2KDS0xdrQ3iluYND5VG/HW5hrDPVvn679cO3nNAz/1O2Haz+qt79K73jO0DhHfX29/OxXE1f/9uwWITUq+ZoDMye6q2Lob/Py4doP9/rHfwl7+d2rvZ+coffm5e4iNP5kcDAKe/nZT79e/ySn5Yaz3PuvMYzef1fth2s/Ts8De5Cb5daGvl7z3LyPy4p5X6YgO3kpuvA6NIVRewsmPeQMBa8rUxi1oQnt2HXrnktXCmMYqQeQVzc0v2eK/erxDC1jSPMi5LVnubsYWl5yHnWWu60OpkjSW8h5ZUO3tcAUSeHfSrTczNC4vB4mhO51iKRfndr7Cd4PjQu82198Me9Ny7/V6x9rtb1aXo/C9NYLenesqxAZhU1KHvOO1R7Rve0jf/S8ZYKnoXPsn7i4c7oX4fwQsw/iMIOHTrGGHAEgZUhvaBjjSo0h28YoQkPo0BA6NIQODaFDQ1n0TfW1sqw7lbeQMdTVq5Xwqr2zzoj0BcBQ31RV00//VHKkEUNdvW5sVzs39mb2zxwADM3pm0qiV2vkDQWbupDWN5XAcAMzFBqWIogbCrZ0aU1muEEZUosgeUPhoXTXga5+TEOxS6nQvB1G1lBsKJUcQ6p6vLCh+Fxc6HWobypdPV7U0HrBOfMS/mcOAIbWNxkKawU5Q4FoX0XOgMygAzBkguKegsxkFoWGcpndcKtAQ+jQEDobhnYm0okqKUN6Q8MYV2oM2TZGERpCh4bQoSF0aAgdGjrGsHcVuxWXzvR7n20o2OBZOwNdkeqFvaFh57GL5066evqFYMY1w1C4wVvJH7FeXDXL7cpuCeZcs2e58+nTzF4gG5LM6gkb6pvKVdWuaSy3F5CGvjJGcpv6wobmf/ZYCZlQL9QNRS6Yu2c5IUsKhhY5u0RfMnsBGUMHX7UHjVlu+m6rlXm9QDF0G5R9U00DDjeG5t/elZlK9+Ka1facoXOzaWNexS2Wvcxcba8bHJy+NXqBsaegnOr3NnsKOr2AMKSd6vcmhpR6AWHIAO7LoVOsIUcASBnSGxrGuFJjyLYxitAQOjSEDg2hQ0Po0NAxdtcpiO2i5BgKtme7DEGoUMHe0Fadgs7xCucNhduzWYYgdrDCVbPcw+WHvPfh9oTbKPeBVmxDcsU+MoYC7QkHiOCHwpENSR6vIGFonQiPXmQED1ZQN3S6TkH28/v5hmLtCV4sy48h8eMVMg2l2qN8wA+Kofv8sXQuLMNQqD2RMgSNgxWuWW3Pua9T0Dle4byhcHvCZQgaBytg7CmwTiEOhCHWKSSAMGQA9+XQKdbQ/UWSXEHKkN7QMMaVGkO2jVGEhtChIXRoCB0aQoeGjpGuU9jzgqPkGxr25xYfvBv5bnUK2y84Q66hrnZVXd+axDoF6fPr8wwNe6LhJn3bOgUgQ9MfOJqq+551CjCGbgHAOoXV/wMwNJ+g4rPcN6xTgDEUeGpX6Iis71WnEH5BJhL3Q7Mmfes6hdj5BXkIG2KdgjgWewqsU8jBwBDrFLLgvhw6xRpaLzWJPSlDekPDGFdqDNk2RhEaQoeG0KEhdGgIHRpCh4ay6RvvnHfO6+zP0VAO3eiGhkIAGGoq7yrf976ioQAAhkZoKAwNoUND6Nga6urFoqCb/46GwtAQOpzl0KEhdAAM3U1941ct+yY0lAENJQEwZAINoUND6NAQOjSETrGG5KvzyHFShvSGhjGu1BiybYwiNIQODaFDQ+jQEDo0dITNI4lunzVGeHJ7lEA/Ah/uz82m2BvaOpJo/kO0p9ss2Dx8Sab55oa2joJYHc2C9ISoCEeOZDqMtaHt41QWCsWCSNNQ+PAlqaZfaygcI7PJvKqEjihQMZQ6fElrbMkburucHjySCCiGEuub9eFLgmfewF2H4i/OQne1vXlKUQbXrOX2nU4k+SAveUORw5fW32Zy7f1Q6Myi2WwCdjbWHeHDl8SfEIexp1DGyUs6QBgq4+QlJSAMGUBD6BRraLUPSC4gZUhvaBjjSo0h28YoQkPo0BA6NIQODaFDQ0c4UKcAvHPqvV8/yepb1CnMs3pyaRYFQ9tPsiqzTmH5M/w6hfggKrZOYZwq6k704Rz2hkquU/Bf87ncjre5oZLrFO6SeSiz3KFHXZVcpyD49Ks5tjFUdp3CvHdyGX9LQ6XXKSxvKoBXCrEnWbFO4RTcU8iCdQoJIAwZQEPoFGsonDcntqQM6Q0NY1ypMWTbGEVoCB0aQoeG0KEhdGjoCOk6BYVUvzerU/A7qjAOYm9os05h9WqFTKUEwTqFY73bg7mhQ59jha4kGVid/7C/d/uwNnQoQSeYCLMxpJF+vNZQupZHMVMpR8KQTKWSuqHT5ylIVvpY1SmUEEO7Z2rJAPK8Dh1h13kKsql+b1ensHFExAmuvR+KDD7pVL+3rFMI9S4HjD0F1inEgTDEOoUEEIYMoCF0ijWUzp8TG1KG9IaGMa7UGLJtjCI0hA4NoUND6NAQOjR0hB2ZfPHDTnUN6dRWDNgb2s7ky2aGBixjSDZxYm5oO4MidobCHDtD0uPL2tB2FrJvKldVshVNhoaEM49XGwrFy3zqe4BPGt8hLgiwTmE1DQJ+Wj+21jG4ggJch1LFM+cxiSH5APKQdQozK3LZcAND4rUVA9feDyWKZIRvK/QNyddWDGDsKbBOIQ6EIdYpJIAwZAANoVOsoT1ZdKJNypDe0DDGlRpDto1RhIbQoSF0aAgdGkKHhk6hsP8Ww8BQ4GwFCS40JH/0QAJlQ9vPgDjNdYYUPvKZwGSW00jgXWdI6eTzGDR0GI2jBxLQ0GEeOoYOPQMiE16HBCnMkMLRAwlo6BTSRw8kMFhtzynuuQ/6cE8BHRpCh4bQKdZQXn6dyBA1RAChIXRoCB0aQoeG0KEhdP4HodjZ8xaZjOMAAAAASUVORK5CYII=)
Al ubicar estos valores en el plano cartesiano, se evidencia su comportamiento lateral con respecto al -1 en x.
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Estas dos conclusiones se denominan Límites Laterales a los Valores Críticos (LLVC).
Para este caso, como la función arroja valores diferentes por ambos lados del -1 en x, se afirma que el límite a ese valor NO existe:
![](data:image/png;base64,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)
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)
Para corroborar esto se deben asignar valores muy grandes a la función como 100, 1000, 10.000, etc. así:
![](data:image/png;base64,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)
Nótese como los valores de la función se acercan al 3 por debajo. Esto significa que el límite de la función cuando x se hace muy grande, es 3 (Recuerde que es el límite y no un valor exacto) y se escribe así:
![](data:image/png;base64,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)
Para facilitar la comprensión del "comportamiento de la curva", se procede a ubicar en el plano las parejas ordenadas de la tabla. Nótes que para x=0 arroja el corte de la gráfica con el eje y. Más adelante se calculará el corte con el eje x, haciendo y=0.
Se observa como la gráfica, viéndola de izquierda a derecha, va subiendo a medida que x se acerca a -1 y, ya después de -1, la gráfica viene desde abajo y va subiendo. Lo que sigue es verificar este comportamiento para valores cercanos por la izquierda y por la derecha de -1, también llamados, valores laterales. Para esto se debe hacer una tabulación con cantidades por la izquierda del -1, por ejemplo -1.5, -1.4, -1.3, -1.2, -1.1, -1.01, -1.001, como se muestra en la tabla:
Al ubicar estos valores en el plano cartesiano, se evidencia su comportamiento lateral con respecto al -1 en x.
Significa que cuando x se aproxima al -1 por la izquierda, la función arroja valores positivos y muy grandes, que en notación de Límite se indica así:
Ahaora, cuando los valores de x se aproximan al -1 por la derecha, la función arroja valores negativos muy grandes (nótese que para x=-09, el valor de la función es -37) :
Estas dos conclusiones se denominan Límites Laterales a los Valores Críticos (LLVC).
Para este caso, como la función arroja valores diferentes por ambos lados del -1 en x, se afirma que el límite a ese valor NO existe:
Nótese ahora en la grafica cómo la función, a medida que x toma valores muy grandes hacia la derecha, se acerca al 3 en el eje y:
Nótese como los valores de la función se acercan al 3 por debajo. Esto significa que el límite de la función cuando x se hace muy grande, es 3 (Recuerde que es el límite y no un valor exacto) y se escribe así:
En la gráfica se puede ver así:
![](data:image/png;base64,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)
De manera similar para valores de x muy grandes negativamente:
![](data:image/png;base64,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)
Finalmente la función se ve graficada así:
![](data:image/png;base64,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)
Todo lo anterior es lo que se debe hacer para caracterizar una función racional.
Véase ahora que la función es creciente desde menos infinito hasta el -1 sin incluilo, esto en notación de intervalo es:
![](data:image/png;base64,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)
Por otro lado, la función es creciente en el intervalo:
![](data:image/png;base64,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)
Corte con el eje x: se reemplaza y por cero ( y=0) así:
![](data:image/png;base64,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)
En resumen, para caracterizar la gráfica de una fnción se recomiendan los siguientes pasos:
1. Identificar el tipo de función.
2. Identificar valores críticos.
3. Tabular con valroes enteros cercanos al valor o valores críticos.
4. Graficar los valores de la tabla del punto 3.
5. Tabular con valores laterales al punto o puntos críticos.
6. Graficar los valores de la tabla del punto 5.
7. Escribir en notación de límite las conclusiones de los valores laterales.
8. Tabular para valores muiy grandes negativos y muy grandes positivos.
9. Representar los valores dela tabla del punto 8.
10. Concluir en notación de límite las tabulaciones al infinito engativo y positivo.
11. Realizar la gráfica final.
12. Indicar intervalos de crecimiento o decrecimiento.
13. Calcular los puntos de corte con los ejes.
Graficar:
![](data:image/png;base64,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)
De manera similar para valores de x muy grandes negativamente:
Se puede notar que la función arroja valores cercanos al 3 por encima.
![](data:image/png;base64,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)
En notación de límite se escribe así:
![](data:image/png;base64,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)
En notación de límite se escribe así:
Estos dos límites se conocen como Límites al Infinito de una Función (LIF). Cabe resaltar que el 3 aparece en la función y coincide con la asíntota horizontal. Edto significa que debe haber una forma para caclular la asíntito horizontal mediante un proceso algebraico, caso que se verá más adelante.
Finalmente la función se ve graficada así:
Todo lo anterior es lo que se debe hacer para caracterizar una función racional.
Véase ahora que la función es creciente desde menos infinito hasta el -1 sin incluilo, esto en notación de intervalo es:
Por otro lado, la función es creciente en el intervalo:
Corte con el eje x: se reemplaza y por cero ( y=0) así:
Significa que corta al eje x en el punto de coordenadas (1/3, 0)
En resumen, para caracterizar la gráfica de una fnción se recomiendan los siguientes pasos:
1. Identificar el tipo de función.
2. Identificar valores críticos.
3. Tabular con valroes enteros cercanos al valor o valores críticos.
4. Graficar los valores de la tabla del punto 3.
5. Tabular con valores laterales al punto o puntos críticos.
6. Graficar los valores de la tabla del punto 5.
7. Escribir en notación de límite las conclusiones de los valores laterales.
8. Tabular para valores muiy grandes negativos y muy grandes positivos.
9. Representar los valores dela tabla del punto 8.
10. Concluir en notación de límite las tabulaciones al infinito engativo y positivo.
11. Realizar la gráfica final.
12. Indicar intervalos de crecimiento o decrecimiento.
13. Calcular los puntos de corte con los ejes.
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