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21 Cards in this Set
- Front
- Back
- 3rd side (hint)
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Linear independence and null space |
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Basis for column space |
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Poop |
Doop |
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Subspaces |
And then some with multiplication by scalar |
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To prove anything regarding subspaces |
Just prove the closures |
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Kernel Ta Rn to Rm |
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Find if some vector span a space |
Pop in matrix. If homo then it spans. If there a contradiction then no |
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If set has 0 is independent? |
No |
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R n independence thing |
If there's more columns then rows its dependent |
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Wronskian thing |
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Functions derivatives |
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Vector space stuff |
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(V)_s meaning |
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If n vectors form a basis then if it has less then n what happens. If it has more then n what happens |
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Plus minus theorem. Adding vector to set |
See hint |
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Basis transitioning tools |
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Look |
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Equivalent staements |
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Null space row space orthogonal compliments |
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Rotating matrix |
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How to find eigenvalues |
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Find A with eigen values and vectors |
Ax= x£. A = x£x-1. Put eigenvector in matrix and eigenvalues in a matrix. Solve for a |
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