# T-square (fractal)

In mathematics, the T-square is a two-dimensional fractal. It has a boundary of infinite length bounding a finite area. Its name comes from the drawing instrument known as a T-square.[1]

## Algorithmic description

T-square.

It can be generated from using this algorithm:

1. Image 1:
2. Image 2:
1. At each convex corner of the previous image, place another square, centered at that corner, with half the side length of the square from the previous image.
2. Take the union of the previous image with the collection of smaller squares placed in this way.
3. Images 3–6:
1. Repeat step 2.

Golden squares with T-branching
Square branches, related by the 1/φ
Squares branches, related by 1/2

The method of creation is rather similar to the ones used to create a Koch snowflake or a Sierpinski triangle, "both based on recursively drawing equilateral triangles and the Sierpinski carpet."[1]

## Properties

The T-square fractal has a fractal dimension of ln(4)/ln(2) = 2.[citation needed] The black surface extent is almost everywhere in the bigger square, for once a point has been darkened, it remains black for every other iteration; however some points remain white.

The fractal dimension of the boundary equals ${\displaystyle \textstyle {{\frac {\log {3}}{\log {2}}}=1.5849...}}$.

Using mathematical induction one can prove that for each n ≥ 2 the number of new squares that are added at stage n equals ${\displaystyle 4*3^{(n-1)}}$.

## The T-Square and the chaos game

The T-square fractal can also be generated by an adaptation of the chaos game, in which a point jumps repeatedly half-way towards the randomly chosen vertices of a square. The T-square appears when the jumping point is unable to target the vertex directly opposite the vertex previously chosen. That is, if the current vertex is v[i] and the previous vertex was v[i-1], then v[i] ≠ v[i-1] + vinc, where vinc = 2 and modular arithmetic means that 3 + 2 = 1, 4 + 2 = 2:

Randomly chosen v[i] ≠ v[i-1] + 2

If vinc is given different values, allomorphs of the T-square appear that are computationally equivalent to the T-square but very different in appearance:

 Randomly chosen v[i] ≠ v[i-1] + 0 Randomly chosen v[i] ≠ v[i-1] + 1