
IntroductionCoordinate vectors and dot productsSystems of linear equationsGaussian eliminationMatrices and operationsRow echelon formElementary matrices and decompositionsVector spacesDefinitions and examplesSubspaces and operationsSpan, independence and basesDimension and Grassmann formulaNotable vector spacesAffine geometryAffine spacesAffine subspaces and coordinatesLinear maps and rankLinear transformationsKernel, image and invertibilityRanksMatrices of linear mapsError-correcting codesDuality, determinants and orientationDual spacesChange of basisDeterminantsOrientationObjectsDiagonalizationEigenvalues and eigenvectorsCharacteristic polynomialDiagonalization criteriaInner product spacesInner products, norms and orthogonalityOrthonormal bases and Gram-SchmidtAdjoints and spectral theoremLinear isometriesQuadratic formsAdvanced vector and affine geometryCross product in R3Affine mapsEuclidean affine spacesTypes of matricesQuotient spacesSum and scalar productDimension of quotient spacesIsomorphism theoremsTensor productsExercisesBatch 1Batch 2Batch 3Batch 4Batch 5Batch 6Batch 7Batch 8Batch 9Batch 10Batch 11Batch 12Batch 13Batch 14Batch 15
Loading