
Most bounds on the size of codes hold for any code, whether linear or not. Notably, the Griesmer bound holds only in the linear case and so optimal linear codes are not necessarily optimal codes. In this paper we identify code parameters $(q,d,k)$, namely field size, minimum distance and dimension, for which the Griesmer bound holds also in the (systematic) nonlinear case. Moreover, we show that the Griesmer bound does not necessarily hold for a systematic code by explicit construction of a family of optimal systematic binary codes. On the other hand, we are able to provide some versions of the Griesmer bound holding for all systematic codes.
arXiv admin note: substantial text overlap with arXiv:1502.07379
[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO], FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), Codes; Hamming distance; Griesmer bound, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]
[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO], FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), Codes; Hamming distance; Griesmer bound, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
