Image (Transformation)

Geometry & Measurement

The image is the resulting figure after a transformation has been applied to the original figure (preimage).

Definition

The image is what a shape looks like after you apply a transformation. The original shape is the preimage, and the result after moving, flipping, or resizing is the image.

Example

If you reflect triangle $ABC$ across the y-axis, the original triangle $ABC$ is the preimage and the new triangle $A'B'C'$ is the image. The prime symbol ($A'$) shows a point is in the image.

Key Insight

The image is always labeled with prime marks ($A'$, $B'$, $C'$) to show it came from the preimage ($A$, $B$, $C$). Think of "prime" as "after transformation." Reading the prime mark tells you which original point it came from.

Definition

In the context of geometric transformations, the image of a figure $F$ under transformation $T$ is the set $T(F) = \{T(P) : P \in F\}$. Each point $P$ in the preimage maps to a corresponding image point $P' = T(P)$. For rigid motions, the image is congruent to the preimage; for dilations, it is similar.

Example

Under translation $T(x,y) = (x+2, y-3)$, the image of segment from $(1,4)$ to $(5,4)$ is the segment from $(3,1)$ to $(7,1)$. The image has the same length ($4$ units) but a new position.

Key Insight

The word "image" in transformation geometry is the same as in function notation. If $f(x) = 2x$, the image of $x=3$ is $f(3)=6$. Similarly, if $T$ is a geometric transformation, the image of point $A$ is $T(A)$. Geometry and algebra use identical language.

Definition

For a transformation $T: \mathbb{R}^2 \to \mathbb{R}^2$, the image of set $S$ is $T(S) = \{T(x) : x \in S\}$. For linear maps, the image (range) of $T$ is the column space of the matrix. For isometries, the image is congruent to the preimage (same measure). For general differentiable maps, the image near a regular point is approximated by the image of the linearization (Jacobian).

Example

The image of the unit circle under the linear map $T(x,y) = (2x, y)$ (horizontal stretch by $2$) is the ellipse $\{(x,y) : (x/2)^2 + y^2 = 1\}$. The Jacobian of $T$ is the matrix $\begin{bmatrix}2&0\\0&1\end{bmatrix}$, with $\det = 2$, so areas scale by factor $2$.

Key Insight

The image of a smooth curve under a differentiable map is determined locally by the Jacobian. If the Jacobian is invertible (nonzero determinant) at a point, the inverse function theorem guarantees the image is locally a smooth curve, preserving the topology of the original near that point.