By definition, a real vector space is a non-empty set (it is true for "M_n \\lparen \\Reals \\rparen" ) equipped with operations of addition and multiplication with a real number which satisfy the following axioms:
- "\\forall A, B \\in M_n \\lparen \\Reals \\rparen A + B = B + A" ( it is true for arbitrary matrices)
- "\\forall A, B, C \\in M_n \\lparen \\Reals \\rparen (A + B) + C = A + (B + C)" (it is true for arbitrary matrices)
- "\\exists \\theta \\in M_n (\\Reals) : \\forall A \\in M_n (\\Reals) A + \\theta = \\theta + A = A" (it is true because the zero matrix is a symmetric matrix)
- "\\forall A \\in M_n (\\Reals) \\exists (-A) \\in M_n (\\Reals) : \\\\ A + (-A) = (-A) + A = \\theta" (it follows from the matrix transposition properties)
- "\\exists I \\in M_n (\\Reals) : \\forall A \\in M_n (R) I \\cdot A = A" (it is true because the identical matrix is a symmetric matrix)
- "\\forall \\alpha , \\beta \\in \\Reals , \\forall A \\in M_n (\\Reals) (\\alpha \\cdot \\beta) \\cdot A = \\alpha \\cdot (\\beta \\cdot A)" (it follows from the matrix multiplication with scalar properies)
- "\\forall \\alpha \\in \\Reals , \\forall A, B \\in M_n (\\Reals) \\alpha \\cdot (A + B) = \\\\ = \\alpha \\cdot A + \\alpha \\cdot B" (it follows from the matrix multiplication with scalar properties)
- "\\forall \\alpha , \\beta \\in \\Reals , \\forall A \\in M_n (\\Reals) (\\alpha + \\beta) \\cdot A = \\\\ = \\alpha \\cdot A + \\beta \\cdot A" (it follows from the matrix multiplication with scalar properties)
Thus, "M_n (\\Reals)" is a real vector space.
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