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Search results for “linear algebra”

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40 results

Systems of Linear Equations

2026TheorySergey

Linear systems in matrix form, the Kronecker–Capelli theorem, homogeneous systems, and the fundamental system of solutions.
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Linear (Vector) Space

2026TheorySergey

The axioms of a linear (vector) space, examples and counterexamples.
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Linear Operator

2026TheorySergey

A linear operator and its matrix, the action x' = Ax, similar matrices, and the formula B = C⁻¹AC.
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Basis, Dimension, and Span

2026TheorySergey

Linear dependence of vectors, basis and coordinates, dimension, subspaces, and linear span.
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Basic Operations on Matrices

2026TheorySergey

Addition, scalar multiplication, transposition and multiplication of matrices, along with subtraction, powers, and trace.
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Properties of Matrix Operations

2026TheorySergey

The basic properties of addition, scalar multiplication, transposition, and multiplication of matrices, with justifications.
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Determinant

2026TheorySergey

The determinant of a square matrix — its meaning, minors and cofactors, Laplace expansion, and computation methods.
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Determinant via Permutations

2026TheorySergey

The direct definition of a determinant via permutations: inversions, parity, and a sum of n! terms.

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Properties of Determinants

2026TheorySergey

The basic properties of determinants with brief proofs, and their use in simplifying computations.
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Inverse Matrices

2026TheorySergey

Nonsingular matrices, the invertibility criterion, the adjugate-matrix formula, and the Gauss–Jordan method.
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Matrix Rank

2026TheorySergey

Minors and the rank of a matrix, invariance of rank under elementary transformations, and a practical method for computing it.
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Eigenvectors and Eigenvalues

2026TheorySergey

Eigenvectors and eigenvalues, the characteristic equation, eigenspaces, and diagonalization of matrices.
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Change of Basis

2026TheorySergey

The change-of-basis matrix, recomputing a vector's coordinates and an operator's matrix, and the orthonormal case.
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Quadratic Forms

2026TheorySergey

Quadratic forms and their matrix, definiteness, Sylvester's criterion, and canonical form.
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