Notation for Vector Transpose: \mathbf v

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SUMMARY

The notation for vector transpose is correctly represented as \(\mathbf{v} = \begin{pmatrix} v_1 \\ v_2 \end{pmatrix} = (v_1, v_2)^T\), where \(T\) denotes the transpose. While vectors can be expressed as either rows or columns, the column form is conventionally considered the standard representation. The dot product is typically expressed in matrix form as \(x^T y = \begin{pmatrix} x_1 & x_2 \end{pmatrix} \begin{pmatrix} y_1 \\ y_2 \end{pmatrix}\), reinforcing the importance of understanding both forms for proper mathematical communication.

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Niles
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Homework Statement


Hi guys

If I have a vector v, then is it correct notation to write

[tex] \mathbf v = <br /> \left( {\begin{array}{*{20}c}<br /> {v_1 } \\<br /> {v_2 } \\<br /> \end{array}} \right) = (v_1,v_2)^T,[/tex]

where T is the transpose?
 
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Yes. Although you can write a vector as either a row or a column, the usual convention is to treat the column form as more basic:

[tex]x = \begin{pmatrix} x_1\\ x_2 \end{pmatrix}[/tex]

[tex]x^T = \begin{pmatrix}x_1 & x_2 \end{pmatrix}[/tex]

so that the dot product [itex]\textbf{x} \cdot \textbf{y}[/itex] is usually expressed in matrix form as

[tex]x^T y = \begin{pmatrix}x_1 & x_2 \end{pmatrix} \begin{pmatrix} y_1 \\ y_2 \end{pmatrix}[/tex]
 
Thanks!
 

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