huangshuyan / Matrix-analysis

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Vector

Basics

  • vectors are writen in column format usually.

Vector space

  • A vector space is obtained by equipping vectors with the operations of + and by scalar.

Subspaces and span

  • A nonempty subset of a vector space is called a subspace of , if for any scalars , x, y .
  • span(S) is the set of all possible linear combinations of the vectors in S = {} forms a subspace.

Bases and dimensions

  • Linearly independent if no vectors in the collection can be expressed as a linear combination of the others.
  • A basis of is a set of of vectors of minimal cadinality, such that . The cardinality of a basis is called the dimension of .

Affine sets

  • where is a given point and is a given subspace of . (一个过点的平面)
  • A line is a one-dimensional affine set. The line through along direction is the set , where in this case span(u) = {}.

Euclidean length

直线长度

Norms and norms

  • p = 2 is the standard Euclidean length
  • p = 1 is the sum-of-absolute-values length
  • p = defines the
  • is the cardinality of a vector x. (pseudo) norm.

Inner product

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