Linear codes from quadratic forms
Nettet8. feb. 2015 · 2 Answers Sorted by: 2 There's another approach: the Gauss decomposition consists to write the quadratic form on sum of squares. We have Q ( x, y) = 3 x 2 − ( 5 + c) x y + 2 c y 2 = 3 ( x − 5 + c 6 y) 2 + ( 2 c − ( 5 + c) 2 12) y 2 so the discussion is on the sign of α ( c) = 2 c − ( 5 + c) 2 12 if α ( c) > 0 then Q is positive definite Nettet22. des. 2015 · Quadratic forms appear in optimization problems of multi-variable functions. Also, the idea of positive definiteness and negative definiteness are based on the quadratic form concept. This gives rise to a test in order to distinguish the extreme points, namely Maximum, Minimum, and Saddle points.
Linear codes from quadratic forms
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NettetQuadratic forms are a quiet element in the classification of Lie algebras, through Weyl chambers and so on. The short version is that any discussion involving Euclidean spaces that talks about reflections is using a quadratic form, typically the ordinary dot product. Nettet22. nov. 2024 · From the polynomial f over the quotient space, a non-degenerate quadratic form is induced. Some related results on the subspaces and quotient spaces are obtained. Based on these results, the...
NettetQuadratic forms 2 With respect to dual bases the matrix M∇ is the matrix of that linear transformation. The bilinear form is said to be nondegenerateif this transformation—or, equivalently, its matrix—is invertible. Any mapfrom f: V→b determinesatranspose map b bb b.Upon identifying withVbb, theform ∇ is symmetric if and only if the map is equal to its … Nettet3. apr. 2024 · In this paper, we study the vectorial bentness of an arbitrary quadratic form and construct two classes of linear codes of few weights from the quadratic forms. Let $q$ be a prime...
Nettet17. sep. 2024 · Quadratic forms. Given a matrix A of N demeaned data points, the symmetric covariance matrix C = 1 NAAT determines the variance in a particular direction. Vu = u ⋅ (Cu), where u is a unit vector defining the direction. More generally, a symmetric m × m matrix A defines a function q: Rm → R by. q(x) = x ⋅ (Ax). Nettet25. okt. 2024 · We have our quadratic form just in mat... Stack Exchange Network. Stack Exchange network consists of 181 Q&A communities including Stack Overflow, the largest, ... Linear Algebra - Quadratic Forms. Ask Question Asked 5 years, 5 months ago. Modified 5 years, ... Group set of commands as atomic transactions (C++) Should I ...
NettetLinear Codes In the V[n,q] setting, an important class of codes are the linear codes, these codes are the ones whose code words form a sub-vector space of V[n,q]. If the subspace of V[n,q] is k dimensional then we talk about the subspace as an [n,k]-code. (Note that the square brackets indicate a linear code).
Nettetq-ary linear codes with few weights employing general quadratic forms over the finite field Fq is proposed, where q is an odd prime power. This generalizes some earlier constructions of p-ary linear codes from quadratic bent functions over the prime field Fp,whereis anp odd prime. The complete weight enumerators of the resultant q-ary … summit engineering group spartanburg scIn this paper, several classes of two-weight or three-weight linear codes over $$ {{\\mathbb {F}}}_p$$ F p from quadratic or non-quadratic functions are constructed and their weight distributions are determined. From the constructed codes, we obtain some optimal linear codes with respect to the Singleton bound and the Griesmer bound. … paletten lampertheimNettet13. apr. 2024 · The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous … summit energy weymouth masummit engineering fort mill scNettet1. mar. 2024 · We called η ( Δ f), denoted by ϵ f, the sign of the quadratic form f. For a subspace H ⊆ F p m, define H ⊥ = { x ∈ F p m: F ( x, y) = 0 for each y ∈ H }. Then H ⊥ is called the dual space of H. And R f can also be defined as the codimension of F p m ⊥. Namely, R f + dim ( F p m ⊥) = m. Let H be a d -dimensional subspace of F p m. palettenshop24Nettet7. des. 2024 · The generalized Hamming weight of linear codes is a natural generalization of the minimum Hamming distance. They convey the structural information of a linear code and determine its performance in various applications, and have become one of important research topics in coding theory. Recently, Li (IEEE Trans. Inf. Theory, 67(1): … summit engineering south carolinaNettetlinear codes from a quadratic form overa finite field ofeven characteristicby carefully studying the behavior of the quadratic form on the subspaces of this field and its dual space, and complement the results of Li and Li. Keywords. Generalized Hamming weight, weight hierarchy, linear code, quadratic form. paletten schroth crailsheim