• is a linear system ( equations, variables) over
  • is matrix, called the coefficient matrix of the system
  • is vector, called the variable vector
  • is vector, called the constant vector
  • is the augmented matrix of the system
  • The solution set of the system is the set of all that satisfy the system, defined as
    • The solution set is either empty, a singleton, or infinite
    • The solution set is an affine subspace of
    • (or shortly )
      • That is, we have either, , or
      • is a particular solution of the system
      • is any solution of the homogeneous system
    • The system is consistent if its solution set is not empty
    • The system is inconsistent if its solution set is empty
    • The system is determined if its solution set is a singleton
    • The system has infinitely many solutions if its solution set is infinite
    • The solution set of a homogeneous system is called the null-space of and denoted by
      • is a subspace of

Equivalence

  • (d1.7.1) The following statements are equivalent:
    • The linear systems and are equivalent systems
    • The augmented matrices and are row equivalent

Augmented Matrix Characterization

Given and a linear system ( equations, variables) over

Consistency

  • The following statements are equivalent:
    • is consistent
    • (8.6.2; Rouché–Capelli theorem)
    • does not have a row of the form (where )
    • is a linear combination of the colmuns of

Determined Case

  • The following statements are equivalent:

Infinite Solutions Case

  • The following statements are equivalent:
    • The system has infinitely many solutions
    • is an affine subspace of
    • is consistent and has not full column rank

Inconsistency

  • The following statements are equivalent:
    • The system is inconsistent
    • has a row of the form (where )

Homogeneous System

  • Homogeneous system is always consistent
  • if , then it has infinitely many solutions

Infinite Solutions Case

  • The following statements are equivalent
    • has not full column rank (i.e. )
    • has a nontrivial solution
    • has infinitely many solutions
    • has at least one free variable

Determined Case

  • The following statements are equivalent

Coefficient Matrix Characterization

  • The following statements are equivalent

    • For each , the system is consistent
    • has full row rank
  • A linear system is said to be overdetermined if it has more equations than unknowns ()

    • if then there exists a vector s.t. is inconsistent
  • A linear system is said to be underdetermined if it has more unknowns than equations ()

    • if then for each vector in the system is either inconsistent or has infinitely many solutions

Overdetermined systems are usually inconsistent, but not always

Underdetermined systems are usually consistent with infinitely many solutions, but not always

Square System (m=n)

  • The following statements are equivalent:
    • is Invertible
    • For each , the system has unique solution. ()
    • There exists , such that the system has a unique solution
  • The following statements are equivalent:
    • is singular
    • has non trivial solution
  • (4.6.1) Cramer’s rule: if is inevitable, then, , , , where is the matrix formed by replacing the -th column of by the column vector