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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 the kernel of f ).
Linear algebra is the branch of mathematics concerning ... Linear maps are mappings between vector spaces that preserve ... Friedberg, Stephen H.; Insel, Arnold ...
In linear algebra and operator theory, given a bounded positive semidefinite operator (a non-negative operator) T on a complex Hilbert space, B is a square root of T if T = B* B, where B* denotes the Hermitian adjoint of B.
In linear algebra, two n-by-n matrices A and B are called similar if there exists an invertible n-by-n matrix P such that =. Similar matrices represent the same linear map under two (possibly) different bases, with P being the change-of-basis matrix.
The dilogarithm along the real axis. In mathematics, the dilogarithm (or Spence's function), denoted as Li 2 (z), is a particular case of the polylogarithm.Two related special functions are referred to as Spence's function, the dilogarithm itself:
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Friedberg--Insel--Spence, Linear algebra: unambiguously defines a basis as an unordered object, later explicitly introduces an ordering. Axler, Linear algebra done right: unambiguously defines a basis as an ordered object (a "list"); it is not clear what this is supposed to mean in the infinite-dimensional case.
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