Mathematical Methods (B.Sc.)
Chapter:06 (Vector Spaces)
In this chapter, we will study the following topics:
- definition and examples
- scalars and vectors
- the zero vector
- real or complex vector space
- distributive law in F
- distributive law in F
- associative law in F
- the identity element of F
- n-dimensional Euclidean space
- subspaces
- the sum of two subspaces
- smallest subspace
- direct sum
- a linear combination and spanning set
- finite dimensional
- infinite dimensional
- linearly independent
- linear combination
- the standard basis for R
- the space of 3×3 symmetric matrices
- the space of 4×4 symmetric matrices
- the space of nxn symmetric matrices
- row and column spaces
- inverse elementary row operation
- column rank
- the inverse elementary row operation
- rank-alternative method
- consistency criterion
- solution space
- linear transformation
- nonsingular transformation
- A one-to-one linear transformation preserves basis and dimensions
- a matrix of a linear transformation
- coordinate vector
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