A photo can be stretched tall or squeezed narrow, and the two edits are clearly different. Graphs work the same way. Multiplying the output of a function pulls the graph up and down, multiplying the input squeezes it toward or away from the -axis, and the only reliable way to tell which is which is to watch where specific points go.
Key terms
Point mapping
Definition A point mapping for a new function built from is a rule that sends each point of the graph of to a point of the graph of , and that reaches every point of the graph of this way. To find it, solve for the input of whose inside equals and then compute the output.
In plain words Pick a point you know on the old graph and work out exactly where it lands on the new one. A handful of such points draws the new graph for you.
Example For and the input stays the same and the output triples, so maps to . The point goes to .
Output scaling
Definition For a real number , the function is an output scaling of . It has the same domain as , and each point maps to
When this is a vertical scaling of the graph, which multiplies every point’s distance from the -axis by . When it is a vertical scaling by followed by a reflection in the -axis.
In plain words The function does its usual work and then you multiply the answer. Only heights change. Points on the -axis stay put.
Example Compare with .
Each input keeps its place and each height doubles.
Input scaling
Definition For a real number , the function is an input scaling of . Its domain is the set of with in the domain of . The inside equals when , so each point maps to
When this is a horizontal scaling of the graph, which multiplies every point’s distance from the -axis by . In particular, when horizontal distances from the -axis shrink.
In plain words Multiplying the input by means the old output now appears at the input instead of , which for is closer to the -axis. That is why multiplying by squeezes the graph rather than widening it. There is no mysterious opposite rule, just the question of which input gives the old output.
Example Let , with domain . The inside equals when .
| Point on | Image on |
|---|---|
Check one of them. The value matches the image .
Scale factor
Definition The scale factor of a scaling is the number that every distance in the scaled direction is multiplied by. For the vertical scale factor is , measured from the -axis. For the horizontal scale factor is , measured from the -axis.
In plain words The vertical factor is the number in front. The horizontal factor is one over the number multiplying inside.
Example Suppose is on the graph of , and let . The vertical factor is and the horizontal factor is . Solving gives , and the output is , so the image is .
Stretch
Definition A stretch is a scaling whose scale factor is greater than . The graph of is a vertical stretch when , and the graph of is a horizontal stretch when . A negative or adds a reflection, described below.
In plain words A stretch pulls points farther from the axis they are measured from, taller for a vertical stretch and wider for a horizontal one.
Example For the point goes to , a vertical stretch by . For , where , the inside equals when , so goes to , a horizontal stretch by .
Compression
Definition A compression is a scaling whose scale factor lies strictly between and . The graph of is a vertical compression when , and the graph of is a horizontal compression when , again with a reflection added when or is negative.
In plain words A compression pulls points closer to the axis they are measured from, flatter for a vertical compression and narrower for a horizontal one.
Example For the point goes to , a vertical compression by . The graph of from above is a horizontal compression by .
Negative factors
Definition For the graph of is the horizontal scaling by of the graph of followed by a reflection in the -axis, and each point maps to . For the graph of is the vertical scaling by followed by a reflection in the -axis.
In plain words Handle the size first with a positive factor, then let the minus sign flip the graph.
Example Take , defined for . The inside equals when , so goes to , and indeed . The graph of has been squeezed by and flipped to the left side.
When two scalings coincide
Definition For some special parent functions, an input scaling and an output scaling produce the same graph. Two examples are
These identities come from properties of roots and powers. They do not hold for functions in general, so and must be treated as different operations unless you have checked the equality for the specific .
In plain words Sometimes squeezing sideways happens to look exactly like stretching upward. That is a feature of the particular function, not a rule.
Example For the input scaling gives , while the output scaling gives . At they give and , so the two graphs differ.
Check yourself
- The point lies on the graph of . Find the corresponding point on the graphs of , and .
Show the answer
For the input stays and the output becomes , giving . For solve to get . For solve to get .
- Find the images of , and on the graph of , and say whether it is a stretch or a compression.
Show the answer
The inputs stay and the outputs halve, so the images are , and . This is a vertical compression with scale factor .
- Find the domain of and the images of , and on .
Show the answer
The condition gives the domain . Solving gives , so the images are , and . This is a horizontal compression by , and it happens to equal the vertical stretch .