It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, minimum weight $d$, and maximum weight $m$ satisfy a certain congruence relation. In the case that $q=p$ is a prime, this leads to the bound $m \leq (n-d)p-e(p-1)$, where $e \in \{0,1,\ldots,k-2 \}$ is maximal with the property that ${n-d \choose e} \not\equiv 0 \pmod{p^{k-1-e}}.$ Thus, if $C$ contains a codeword of weight $n$, then $n \geq d/(p-1)+d+e$. The results obtained for linear codes are translated into corresponding results for $(n,t)$-arcs and $t$-fold blocking sets of AG$(k-1,q)$. The bounds obtained in these spaces are better than the known bounds for these geometrical objects for many parameters
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim (X) ...
AbstractCombining linear programming with the Plotkin–Johnson argument for constant weight codes, we...
The set of all subspaces of Fqn is denoted by Pq(n). The subspace distance dS(X, Y) = dim(X) + dim(Y...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over Fq of length n, dimension k, minimum weight d,...
It is shown that the parameters of a linear code over Fq of length n, dimension k, minimum weight d,...
International audienceWe study the combinatorial function L(k, q), the maximum number of nonzero wei...
International audienceWe study the combinatorial function L(k, q), the maximum number of nonzero wei...
International audienceWe study the combinatorial function L(k, q), the maximum number of nonzero wei...
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim(X) +...
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim(X) +...
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim (X) ...
AbstractCombining linear programming with the Plotkin–Johnson argument for constant weight codes, we...
The set of all subspaces of Fqn is denoted by Pq(n). The subspace distance dS(X, Y) = dim(X) + dim(Y...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over ${\mathbb F}_q$ of length $n$, dimension $k$, ...
It is shown that the parameters of a linear code over Fq of length n, dimension k, minimum weight d,...
It is shown that the parameters of a linear code over Fq of length n, dimension k, minimum weight d,...
International audienceWe study the combinatorial function L(k, q), the maximum number of nonzero wei...
International audienceWe study the combinatorial function L(k, q), the maximum number of nonzero wei...
International audienceWe study the combinatorial function L(k, q), the maximum number of nonzero wei...
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim(X) +...
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim(X) +...
The set of all subspaces of F-q(n) is denoted by P-q(n). The subspace distance d(S)(X, Y) = dim (X) ...
AbstractCombining linear programming with the Plotkin–Johnson argument for constant weight codes, we...
The set of all subspaces of Fqn is denoted by Pq(n). The subspace distance dS(X, Y) = dim(X) + dim(Y...