2. `y=(x+2)^2-9`, find Properties of a function
Solution:
`y=(x+2)^2-9`
1. Vertex :
`:. y=1(x-(-2))^2+(-9)`
Now compare with `y=a(x-h)^2+k`, we get
`a=1,h=-2,k=-9`
Vertex `=(h,k)=(-2,-9)`
If `a<0` then the vertex is a maximum value
If `a>0` then the vertex is a minimum value
Here `a=1>0`
So minimum Vertex = `(h,k)=(-2,-9)`
2. Focus :
Find `p`, distance from the vertex to a focus of the parabola
`p=1/(4a)=1/(4*1)=1/4`
Focus `=(h,k+p)=(-2,-9+1/4)=(-2,-35/4)`
3. Symmetry :
Axis of symmetry is the line that passes through the vertex and the focus
`x=h=-2`
4. Directrix :
Directrix `y=k-p=-9-1/4=-37/4`
5. Graph :
some extra points to plot the graph
`y=f(x)=(x+2)^2-9`
`f(-6)=(-6+2)^2-9=16-9=7`
`f(-5)=(-5+2)^2-9=9-9=0`
`f(-4)=(-4+2)^2-9=4-9=-5`
`f(-3)=(-3+2)^2-9=1-9=-8`
`f(-2)=(-2+2)^2-9=0-9=-9`
`f(-1)=(-1+2)^2-9=1-9=-8`
`f(0)=(0+2)^2-9=4-9=-5`
`f(1)=(1+2)^2-9=9-9=0`
`f(2)=(2+2)^2-9=16-9=7`
graph
![](data:image/png;base64,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)
6. Intercepts :
Intercept :
To find the y-intercept put x=0 in `y=(x+2)^2-9`, we get
`y=(0+2)^2-9=4-9=-5`
`:.` y-intercept is `(0,-5)`
To find the x-intercept put y=0 in `y=(x+2)^2-9`, we get
`=>(x+2)^2-9=0`
`=>(x+2)^2=0+9`
`=>(x+2)^2=9`
`=>x+2=+- 3`
Now, `x+2=3`
`=>x=3-2`
`=>x=1`
Now, `x+2=-3`
`=>x=-3-2`
`=>x=-5`
`:.` x-intercepts are `(1,0)` and `(-5,0)`
This material is intended as a summary. Use your textbook for detail explanation.
Any bug, improvement, feedback then