Let "V" be the vector space of all "n \\times n" matrices over "\\mathbb R". For "i,j\\in\\{1,2,...,n\\}" denote by "E_{ij}" the matrix with a unigue 1 at the intersection of the row "i" and the column "j", and with the rest elements equal to 0: "e_{ij}=1" and "e_{st}=0" for all "s\\ne i" and "t\\ne j". Then "(E_{ij}\\ |\\ i,j\\in\\{1,..., n\\})" is a basis of the vector space "V". Indeed, if "\\sum\\limits_{i=1}^n\\sum\\limits_{j=1}^na_{ij}E_{ij}=O" where the matrix "O" contains of only zeros, then "a_{ij}=0" for all "i,j\\in\\{1,2,...,n\\}". Consequently, the matrices "E_{ij}" are linear independent. Also each matrix "M" with entries "m_{ij}" can be represented as "M=\\sum\\limits_{i=1}^n\\sum\\limits_{j=1}^nm_{ij}E_{ij}", and therefore, "(E_{ij}\\ |\\ i,j\\in\\{1,..., n\\})" indeed a basis of "V". It follows that "\\dim(V)=n^2."
Further, let "W_n=\\{A_{n\\times n} \\in V \\ |\\ A_{n\\times n}\\text{ is upper triangular}\\}." Let "{\\displaystyle A_{n\\times n}, B_{n\\times n}}" be elements of "W_n" and "{\\displaystyle \\alpha ,\\beta }" be elements of "\\mathbb R". Since the elements under the main diagonal in matrices "{\\displaystyle A_{n\\times n}, B_{n\\times n}}" are zeros, it follows that the elements under the main diagonal in the matrix "{\\displaystyle\\alpha A_{n\\times n}+\\beta B_{n\\times n}}" is zeros as well. Therefore, "{\\displaystyle\\alpha A_{n\\times n}+\\beta B_{n\\times n}}" is in "W_n", and we conclude that "W_n" is a subspace of "V".
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