Let
Let
is a zero of . The corresponding zero of is .
is a zero of . The corresponding zero of is .
is a zero of . The corresponding zero of is .
domain
Pointwise composition was seen via individual numbers:
The number, , in the domain of was connected to its range partner, . was
evaluated at and the function value, , was then viewed as a member of the
domain of . As a member of the domain of , can be evaluated at to get .
Linear composition between two linear functions produced a whole new function - a linear function. Instead of thinking of domain numbers individually, this composition was viewed as an operation on linear functions.
There is an outside linear function, , and an inside linear function . The composition operation, , is applied and a new linear function is created.
Our symbol for this function is or . The parentheses are used to clear up communication.
In our investigations, we have discovered that “is” , just shifted, stretched, and reflected horizontally.
We would like to extend this idea of a function operation beyond linear functions.
We would like to focus on the inside function as a linear function.
Let be any function.
Let be any linear function.
Form the composition .
How does affect ?
The main issue here is the range of intersecting the domain of .
Inside = Linear
In this section, our inside function will always be a linear function.
where , with and real numbers and .
Let’s consider a quadratic function:
We can consider as a composition. The outside function is and the inside function is the Identity function: .
The inside function doesn’t do much. It pairs every real number with itself. Then this is handed to . Not much of a composition, but it will help us illustrate some ideas.
The natural domain of is . We can think of moving along the real line left to right
from to . Each real number we run across is put into , which just gives it right back.
Thus, the range of also runs along the real line left to right from to at the exact
same speed as the domain. The range of then becomes the domain for the outside
function, .
What happens when we have a different inside function?
Suppose .
The values of still run along the real line left to right from to . What’s the difference?
The difference is that the identity function ran across its domain and range from to at exactly the same rate - because the input and out were equal - it was the identity function.
Now the range is running through the real line left to right from to - five times as fast as the domain. A little movement in the domain results in a lot of movement in the range and this range is the domain for .
When we graph a composition function, , on the Cartesian plane, we have to picture a two-step process, where the switch is hidden from view.
Normally, when we graph one function, the horizontal axis represents the domain of the function and the vertical axis represents the range of the same function.
With a composition, the horizontal axis represents the domain of the function and the vertical axis represents the range of the function. There is a hidden switch occurring from the range of the to the domain of the .
As we run across the horizontal axis, these values are going into . The output values, are the new (hidden) horizontal axis for the inputs (domain) into .
As you run across the -axis, those values are not going into . times those values are going into .
has a zero at and at . These are separated by a distance of . The domain of needs to run this distance of from to to get from one zero to the other.
That means the range of must run from to to get from one zero to the other, because the range of is the domain of .
Which brings us to the domain of , for our composition.
The domain of doesn’t need to run that distance of , because its movement gets amplified by a factor of through the function. The domain of needs to run from to - a distance of
In the function, the zeros are at and . They are a distance of apart. The function has squeezed them closer together by making its range run faster than its domain - and that range became a new faster running domain for .
All of the Q values are still there. The output of are the same values of . They are just connected to faster running domain values then before.
How do we slow down ?
We feed its domain slower.
Let . takes in real numbers and gives half their value. If we feed these into , then will think it is only getting half the value that that we see on the horizontal axis.
Graph of
The graph is wider, because thinks it is getting half the value as the -axis.
The vertical heights haven’t changed. The formula stills say that the values of will be the outputs - just not at the same places.
The minimum value of is , which occurs at .
The minimum value of is still . It now occurs at . It occurs at , so that when
multiplies by , the number is fed into .
The vertex on was . This has moved to for .
The zeros for are and . These move to and for .
Let
Let
is a zero of . The corresponding zero of is .
is a zero of . The corresponding zero of is .
is a zero of . The corresponding zero of is .
Let
Let
is a zero of . The corresponding zero of is .
is a zero of . The corresponding zero of is .
is a zero of . The corresponding zero of is .
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more examples can be found by following this link
More Examples of Transforming the Inside