Lee distance

In coding theory, the Lee distance is a distance between two strings x 1 x 2 … x n {displaystyle x_{1}x_{2}dots x_{n}} and y 1 y 2 … y n {displaystyle y_{1}y_{2}dots y_{n}} of equal length n over the q-ary alphabet {0, 1, …, q − 1} of size q ≥ 2.It is a metric, defined as In coding theory, the Lee distance is a distance between two strings x 1 x 2 … x n {displaystyle x_{1}x_{2}dots x_{n}} and y 1 y 2 … y n {displaystyle y_{1}y_{2}dots y_{n}} of equal length n over the q-ary alphabet {0, 1, …, q − 1} of size q ≥ 2.It is a metric, defined as Considering the alphabet as the additive group Zq, the Lee distance between two single letters x {displaystyle x} and y {displaystyle y} is the length of shortest path in the Cayley graph (which is circular since the group is cyclic) between them. If q = 2 {displaystyle q=2} or q = 3 {displaystyle q=3} the Lee distance coincides with the Hamming distance, because both distances are 0 for two single equal symbols and 1 for two single non-equal symbols. For q > 3 {displaystyle q>3} this is not the case anymore, the Lee distance can become bigger than 1. The metric space induced by the Lee distance is a discrete analog of the elliptic space. If q = 6, then the Lee distance between 3140 and 2543 is 1 + 2 + 0 + 3 = 6. The Lee distance is named after C. Y. Lee. It is applied for phase modulation while the Hamming distance is used in case of orthogonal modulation. The Berlekamp code is an example of code in the Lee metric. Other significant examples are the Preparata code and Kerdock code; these codes are non-linear when considered over a field, but are linear over a ring. Also, there exists a Gray isometry (bijection preserving weight) between Z 4 {displaystyle mathbb {Z} _{4}} with the Lee weight and Z 2 2 {displaystyle mathbb {Z} _{2}^{2}} with the Hamming weight.