symmetric determinant - definição. O que é symmetric determinant. Significado, conceito
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O que (quem) é symmetric determinant - definição

STRUCTURED MATRIX WITH EQUAL VALUES ALONG DIAGONALS
Toeplitz determinant; Block-Toeplitz matrix; Toeplitz matrices; Toeplitz Symmetric Tridiagonal; Symmetric tridiagonal Toeplitz matrix; Toeplitz symmetric tridiagonal matrix

determinant         
  • The area of the parallelogram is the absolute value of the determinant of the matrix formed by the vectors representing the parallelogram's sides.
  • The volume of this [[parallelepiped]] is the absolute value of the determinant of the matrix formed by the columns constructed from the vectors r1, r2, and r3.
  • [[Rule of Sarrus]]
SUM OF SIGNED TERMS OF N FACTORS FROM N×N MATRIX WITH NO TWO FACTORS SHARING ROW OR COLUMN
Determinants; Determanent; Determenant; Matrix determinant; Determinant expansion by minors; Determinant theorem; Determinant (mathematics); Determinant of a matrix; Determinant identities; Determinant mathematics; Determinance
(determinants)
A determinant of something causes it to be of a particular kind or to happen in a particular way. (FORMAL)
N-COUNT: usu with supp
Determinant         
  • The area of the parallelogram is the absolute value of the determinant of the matrix formed by the vectors representing the parallelogram's sides.
  • The volume of this [[parallelepiped]] is the absolute value of the determinant of the matrix formed by the columns constructed from the vectors r1, r2, and r3.
  • [[Rule of Sarrus]]
SUM OF SIGNED TERMS OF N FACTORS FROM N×N MATRIX WITH NO TWO FACTORS SHARING ROW OR COLUMN
Determinants; Determanent; Determenant; Matrix determinant; Determinant expansion by minors; Determinant theorem; Determinant (mathematics); Determinant of a matrix; Determinant identities; Determinant mathematics; Determinance
In mathematics, the determinant is a scalar value that is a function of the entries of a square matrix. It allows characterizing some properties of the matrix and the linear map represented by the matrix.
Determinant         
  • The area of the parallelogram is the absolute value of the determinant of the matrix formed by the vectors representing the parallelogram's sides.
  • The volume of this [[parallelepiped]] is the absolute value of the determinant of the matrix formed by the columns constructed from the vectors r1, r2, and r3.
  • [[Rule of Sarrus]]
SUM OF SIGNED TERMS OF N FACTORS FROM N×N MATRIX WITH NO TWO FACTORS SHARING ROW OR COLUMN
Determinants; Determanent; Determenant; Matrix determinant; Determinant expansion by minors; Determinant theorem; Determinant (mathematics); Determinant of a matrix; Determinant identities; Determinant mathematics; Determinance
·adj Serving to determine or limit; determinative.
II. Determinant ·noun That which serves to determine; that which causes determination.
III. Determinant ·noun The sum of a series of products of several numbers, these products being formed according to certain specified laws.
IV. Determinant ·noun A mark or attribute, attached to the subject or predicate, narrowing the extent of both, but rendering them more definite and precise.

Wikipédia

Toeplitz matrix

In linear algebra, a Toeplitz matrix or diagonal-constant matrix, named after Otto Toeplitz, is a matrix in which each descending diagonal from left to right is constant. For instance, the following matrix is a Toeplitz matrix:

[ a b c d e f a b c d g f a b c h g f a b i h g f a ] . {\displaystyle \qquad {\begin{bmatrix}a&b&c&d&e\\f&a&b&c&d\\g&f&a&b&c\\h&g&f&a&b\\i&h&g&f&a\end{bmatrix}}.}

Any n × n {\displaystyle n\times n} matrix A {\displaystyle A} of the form

A = [ a 0 a 1 a 2 a ( n 1 ) a 1 a 0 a 1 a 2 a 1 a 1 a 2 a 1 a 0 a 1 a n 1 a 2 a 1 a 0 ] {\displaystyle A={\begin{bmatrix}a_{0}&a_{-1}&a_{-2}&\cdots &\cdots &a_{-(n-1)}\\a_{1}&a_{0}&a_{-1}&\ddots &&\vdots \\a_{2}&a_{1}&\ddots &\ddots &\ddots &\vdots \\\vdots &\ddots &\ddots &\ddots &a_{-1}&a_{-2}\\\vdots &&\ddots &a_{1}&a_{0}&a_{-1}\\a_{n-1}&\cdots &\cdots &a_{2}&a_{1}&a_{0}\end{bmatrix}}}

is a Toeplitz matrix. If the i , j {\displaystyle i,j} element of A {\displaystyle A} is denoted A i , j {\displaystyle A_{i,j}} then we have

A i , j = A i + 1 , j + 1 = a i j . {\displaystyle A_{i,j}=A_{i+1,j+1}=a_{i-j}.}

A Toeplitz matrix is not necessarily square.