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Dimension theorem for vector spaces (vector spaces, linear algebra) Euler's rotation theorem ; 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 ...
Lemmas in linear algebra (5 P) R. ... Pages in category "Theorems in linear algebra" The following 24 pages are in this category, out of 24 total.
Dimension theorem for vector spaces. Hamel dimension; Examples of vector spaces; Linear map. Shear mapping or Galilean transformation; Squeeze mapping or Lorentz transformation; Linear subspace. Row and column spaces; Column space; Row space; Cyclic subspace; Null space, nullity; Rank–nullity theorem; Nullity theorem; Dual space. Linear ...
Fermat's little theorem and some proofs; Gödel's completeness theorem and its original proof; Mathematical induction and a proof; Proof that 0.999... equals 1; Proof that 22/7 exceeds π; Proof that e is irrational; Proof that π is irrational; Proof that the sum of the reciprocals of the primes diverges
Concerning general linear maps, linear endomorphisms, and square matrices have some specific properties that make their study an important part of linear algebra, which is used in many parts of mathematics, including geometric transformations, coordinate changes, quadratic forms, and many other parts of mathematics.
Theorems in linear algebra ... Theorems in abstract algebra (9 C, 23 P) Pages in category "Theorems in algebra" The following 32 pages are in this category, out of 32 ...
Theorem: If the union of k discs is disjoint from the union of the other n − k discs then the former union contains exactly k and the latter n − k eigenvalues of A, when the eigenvalues are counted with their algebraic multiplicities. Proof: Let D be the diagonal matrix with entries equal to the diagonal entries of A and let
The Steinitz exchange lemma is a basic theorem in linear algebra used, for example, to show that any two bases for a finite-dimensional vector space have the same number of elements. The result is named after the German mathematician Ernst Steinitz .
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