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  2. Rank–nullity theorem - Wikipedia

    en.wikipedia.org/wiki/Ranknullity_theorem

    Rank–nullity theorem. The rank–nullity theorem is a theorem in linear algebra, which asserts: the number of columns of a matrix M is the sum of the rank of M and the nullity of M; and; the dimension of the domain of a linear transformation f is the sum of the rank of f (the dimension of the image of f) and the nullity of f (the dimension of ...

  3. Category:Theorems in linear algebra - Wikipedia

    en.wikipedia.org/wiki/Category:Theorems_in...

    Download as PDF; Printable version ... Pages in category "Theorems in linear algebra" ... out of 24 total. This list may not reflect recent changes. C. Cayley ...

  4. Rank (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Rank_(linear_algebra)

    The column rank of A is the dimension of the column space of A, while the row rank of A is the dimension of the row space of A. A fundamental result in linear algebra is that the column rank and the row rank are always equal. (Three proofs of this result are given in § Proofs that column rank = row rank, below.)

  5. Row and column spaces - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_spaces

    For example, the 3 × 3 matrix in the example above has rank two. [9] The rank of a matrix is also equal to the dimension of the column space. The dimension of the null space is called the nullity of the matrix, and is related to the rank by the following equation:

  6. Jordan normal form - Wikipedia

    en.wikipedia.org/wiki/Jordan_normal_form

    In linear algebra, a Jordan normal form, also known as a Jordan canonical form, [1] [2] is an upper triangular matrix of a particular form called a Jordan matrix representing a linear operator on a finite-dimensional vector space with respect to some basis.

  7. List of theorems - Wikipedia

    en.wikipedia.org/wiki/List_of_theorems

    Exchange theorem (linear algebra) Gamas's Theorem (multilinear algebra) Gershgorin circle theorem (matrix theory) Inverse eigenvalues theorem (linear algebra) Perron–Frobenius theorem (matrix theory) Principal axis theorem (linear algebra) Rank–nullity theorem (linear algebra) Rouché–Capelli theorem (Linear algebra) Sinkhorn's theorem ...

  8. Wikipedia:Reference desk/Archives/Mathematics/2017 March 27

    en.wikipedia.org/wiki/Wikipedia:Reference_desk/...

    Use the given information to find the rank of the linear transformation T where T : V → W. The null space of T : P 5 → P 5 is P 5. I used the rank–nullity theorem and produced the following: rank(T) + nullity(T) = dim(V) nullity(T) = 6, dim(V) = 6 rank(T) + 6 = 6 rank(T) = 0. Is this result correct? I feel like I erred somewhere.

  9. Category:Isomorphism theorems - Wikipedia

    en.wikipedia.org/wiki/Category:Isomorphism_theorems

    These theorems are generalizations of some of the fundamental ideas from linear algebra, notably the rank–nullity theorem, and are encountered frequently in group theory. The isomorphism theorems are also fundamental in the field of K-theory , and arise in ostensibly non-algebraic situations such as functional analysis (in particular the ...

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