If the vectors [tex]\{\mathbf v_1,\mathbf v_2,\ldots,\mathbf v_p\}[/tex] span [tex]\mathbb R^n[/tex], then any vector [tex]\mathbf x\in\mathbb R^n[/tex] can be expressed as a linear combination of these vectors. This means there exist scalars [tex]\{c_1,c_2,\ldots,c_p\}[/tex] such that
[tex]\mathbf x = c_1\mathbf v_1 + c_2\mathbf v_2 + \cdots + c_p\mathbf v_p[/tex]
Since T is a linear transformation, we have for all x,
[tex]T(\mathbf x) = T(c_1\mathbf v_1 + c_2\mathbf v_2 + \cdots + c_p\mathbf v_p) \\\\ T(\mathbf x) = c_1T(\mathbf v_1) + c_2T(\mathbf v_2) + \cdots + c_pT(\mathbf v_p) \\\\ T(\mathbf x) = \mathbf 0 + \mathbf 0 + \cdots + \mathbf 0 = \mathbf 0[/tex]