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  2. Polynomial matrix - Wikipedia

    en.wikipedia.org/wiki/Polynomial_matrix

    A polynomial matrix over a field with determinant equal to a non-zero element of that field is called unimodular, and has an inverse that is also a polynomial matrix. Note that the only scalar unimodular polynomials are polynomials of degree 0 – nonzero constants, because an inverse of an arbitrary polynomial of higher degree is a rational function.

  3. Matrix polynomial - Wikipedia

    en.wikipedia.org/wiki/Matrix_polynomial

    A matrix polynomial equation is an equality between two matrix polynomials, which holds for the specific matrices in question. A matrix polynomial identity is a matrix polynomial equation which holds for all matrices A in a specified matrix ring Mn ( R ). Matrix polynomials are often demonstrated in undergraduate linear algebra classes due to ...

  4. Quadratic form - Wikipedia

    en.wikipedia.org/wiki/Quadratic_form

    In mathematics, a quadratic form is a polynomial with terms all of degree two ("form" is another name for a homogeneous polynomial ). For example, is a quadratic form in the variables x and y. The coefficients usually belong to a fixed field K, such as the real or complex numbers, and one speaks of a quadratic form over K.

  5. Matrix (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Matrix_(mathematics)

    In mathematics, a matrix ( pl.: matrices) is a rectangular array or table of numbers, symbols, or expressions, with elements or entries arranged in rows and columns, which is used to represent a mathematical object or property of such an object. For example, is a matrix with two rows and three columns.

  6. Polynomial - Wikipedia

    en.wikipedia.org/wiki/Polynomial

    A matrix polynomial identity is a matrix polynomial equation which holds for all matrices A in a specified matrix ring M n (R). Exponential polynomials

  7. Chebyshev polynomials - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_polynomials

    The Chebyshev polynomials form a complete orthogonal system. The Chebyshev series converges to f(x) if the function is piecewise smooth and continuous. The smoothness requirement can be relaxed in most cases – as long as there are a finite number of discontinuities in f(x) and its derivatives.

  8. Matroid - Wikipedia

    en.wikipedia.org/wiki/Matroid

    In combinatorics, a branch of mathematics, a matroid / ˈ m eɪ t r ɔɪ d / is a structure that abstracts and generalizes the notion of linear independence in vector spaces.There are many equivalent ways to define a matroid axiomatically, the most significant being in terms of: independent sets; bases or circuits; rank functions; closure operators; and closed sets or flats.

  9. Companion matrix - Wikipedia

    en.wikipedia.org/wiki/Companion_matrix

    Companion matrix. In linear algebra, the Frobenius companion matrix of the monic polynomial is the square matrix defined as. Some authors use the transpose of this matrix, , which is more convenient for some purposes such as linear recurrence relations (see below). is defined from the coefficients of , while the characteristic polynomial as ...