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  2. Rank–nullity theorem - Wikipedia

    en.wikipedia.org/wiki/Ranknullity_theorem

    Ranknullity theorem. The ranknullity 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. Row and column spaces - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_spaces

    It follows that the null space of A is the orthogonal complement to the row space. For example, if the row space is a plane through the origin in three dimensions, then the null space will be the perpendicular line through the origin. This provides a proof of the ranknullity theorem (see dimension above).

  4. Rank (linear algebra) - Wikipedia

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

    A matrix is said to have full rank if its rank equals the largest possible for a matrix of the same dimensions, which is the lesser of the number of rows and columns. A matrix is said to be rank-deficient if it does not have full rank. The rank deficiency of a matrix is the difference between the lesser of the number of rows and columns, and ...

  5. Category:Theorems in linear algebra - Wikipedia

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

    Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. ... Ranknullity theorem; Rouché–Capelli theorem; S. Schur ...

  6. Jordan normal form - Wikipedia

    en.wikipedia.org/wiki/Jordan_normal_form

    By the rank-nullity theorem, dim(ker(A−λI))=n-r, so t=n-r-s, and so the number of vectors in the potential basis is equal to n. To show linear independence, suppose some linear combination of the vectors is 0.

  7. List of theorems - Wikipedia

    en.wikipedia.org/wiki/List_of_theorems

    Principal axis theorem (linear algebra) Ranknullity theorem (linear algebra) Rouché–Capelli theorem (Linear algebra) Sinkhorn's theorem (matrix theory) Specht's theorem (matrix theory) Spectral theorem (linear algebra, functional analysis) Sylvester's determinant theorem (determinants) Sylvester's law of inertia (quadratic forms)

  8. Kernel (linear algebra) - Wikipedia

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

    In the case where V is finite-dimensional, this implies the ranknullity theorem: ⁡ (⁡) + ⁡ (⁡) = ⁡ (). where the term rank refers to the dimension of the image of L, ⁡ (⁡), while nullity refers to the dimension of the kernel of L, ⁡ (⁡). [4] That is, ⁡ = ⁡ (⁡) ⁡ = ⁡ (⁡), so that the ranknullity theorem can be ...

  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 ranknullity 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 ...