5 5 votes Let $\mathrm{T}_{\mathrm{A}}: \mathbb{R}^{2} \rightarrow \mathbb{R}^{3}$ be the matrix mapping with corresponding matrix $$ \mathbf{A}=\left[\begin{array}{cc} 1 & 4 \\ -3 & 2 \\ 2 & 1 \end{array}\right] $$ Is $\mathrm{T}_{\mathrm{A}}$ onto? Linear Algebra goclasses-da-course goclasses linear-algebra annotated-8 + – GO Classes 596 views answer comment Share Follow Print 0 reply Please log in or register to add a comment.
5 5 votes No, TA is not onto. Since the column space of A does not span R3 alok_sah answered Apr 29, 2025 alok_sah comment Share Follow 0 reply Please log in or register to add a comment.
1 1 vote $\mathrm{T}_{\mathbf{A}}$ is onto because the domain is $\mathbb{R}^{2}$ and the co-domain is $\mathbb{R}^{3}$. Intuitively, two vectors are not enough to span $\mathbb{R}^{3}$. Geometrically, two vectors in $\mathbb{R}^{3}$ span a 2D plane going through the origin. The vectors not on the plane $\operatorname{span}\left\{\mathbf{v}_{1}, \mathbf{v}_{2}\right\}$ are not in the range of $\mathrm{T}_{\mathbf{A}}$. GO Classes answered Apr 11, 2025 1 flag: ✌ Edit necessary (Aryan_Goyal “Wrong Answer”) GO Classes comment Share Follow See all 3 Comments 3 3 Comments reply Sidharth_D commented Apr 29, 2025 reply Follow flag And that makes it not onto right? The rank of transformation matrix A can only be <= 2 and never 3. Hence its not onto transformation. 1 1 replyShare Babu_Rao commented Jul 6, 2025 reply Follow flag How can TA be onto when in A you only have 2 columns in R3, it won't be enough to fill the space of R3 completly to be called as onto. 0 0 replyShare Aryan_Goyal commented Aug 8, 2025 reply Follow flag Sir justy copied the answer from the slide , obviously Its Not Onto 0 0 replyShare Please log in or register to add a comment.