Linear Algebra

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  • Created by: Libby
  • Created on: 27-05-15 11:36
A set with an operation of addition and (real) scalar multiplication.
Real Vector Space
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A subset of V, but also a vector in its own right.
Subspace
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The set of all possible linear combinations.
Span
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It's linearly independent and spans V.
Basis
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The maximum number of linearly independent vectors in V.
Dimension
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It respects addition and scalar multiplication.
Linear Mapping
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The elements from the original set which are mapped to zero.
Kernel
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Dimension of kernel plus dimension of range equals the dimension of U.
Rank Nullity Theorem
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Any polynomial of degree n has n roots.
Fundamental Theorem of Algebra
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Multiplicity as root of characteristic equation.
Algebraic
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Number of linearly independent eigenvectors to value.
Geometric
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Hermitian, positive and definite.
Inner Product
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Homogeneity, positive definiteness, triangle inequality.
Norm
13 of 13

Other cards in this set

Card 2

Front

A subset of V, but also a vector in its own right.

Back

Subspace

Card 3

Front

The set of all possible linear combinations.

Back

Preview of the front of card 3

Card 4

Front

It's linearly independent and spans V.

Back

Preview of the front of card 4

Card 5

Front

The maximum number of linearly independent vectors in V.

Back

Preview of the front of card 5
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