3Blue1Brown Series Essence of linear algebra Episode 7 Inverse matrices, column space and null space 2016
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How to think about linear systems of equations geometrically. The focus here is on gaining an intuition for the concepts of inverse matrices, column space, rank and null space, but the computation of those constructs is not discussed.
- Released: 2016-08-16
- Runtime: 60 minutes
- Genre: Documentary
- Stars:
- Director: Grant Sanderson
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1. Vectors, what even are they? 2016-08-06
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3. Linear transformations and matrices 2016-08-07
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4. Matrix multiplication as composition 2016-08-09
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5. Three-dimensional linear transformations 2016-08-10
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6. The determinant 2016-08-11
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9. Dot products and duality 2016-08-24
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10. Cross products 2016-09-01
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12. Cramer's rule, explained geometrically 2019-03-17
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13. Change of basis 2016-09-11
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14. Eigenvectors and eigenvalues 2016-09-15
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15. A quick trick for computing eigenvalues 2021-05-07
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16. Abstract vector spaces 2016-09-24
