The coordinate rule gives a direct algebraic test: multiply both coordinates of every point by k, rather than changing only one coordinate. Using the same multiplier for x and y preserves each point’s direction from the origin when k is positive, while changing its distance consistently. This connects the geometric transformation to a simple point-by-point calculation.
A negative scale factor reverses the placement of the image across the origin instead of preserving each point’s direction. The magnitude of the factor still controls how far the image lies from the origin, while the negative sign determines the opposite-side position. This distinction allows coordinate rules to describe both size change and directional reversal.
Scaling both coordinates by the same factor preserves angle measures and the overall shape of the figure. The lengths change, and the area changes as a consequence of that scaling, but the figure remains a similar version of the original. This makes the transformation useful for studying proportional size changes without altering geometric form.
First, identify the scale factor and list the coordinates of the figure’s points. Next, multiply both coordinates of each point by that factor to obtain the image coordinates. Finally, plot the resulting points and connect them in the original order. Checking the image’s position relative to the origin and its changed size helps confirm the transformation.
Compare corresponding points in the original figure and its image, focusing on their distances from the origin. If every distance changes by the same multiplier, that common multiplier is the scale factor. A positive factor indicates preserved direction from the origin, whereas a negative factor indicates placement on the opposite side. This provides a coordinate-based way to analyze similarity.
Origin dilations help model scale, construct similar figures, and connect algebraic rules with geometric effects. A coordinate equation can therefore describe an enlargement or reduction while the plotted image shows the corresponding spatial change. In mathematics, this connection supports analysis of transformations, similarity, lengths, areas, and the relationship between numerical factors and visual geometry.