Notation for Vector Transpose: \mathbf v

AI Thread Summary
The notation for a vector transpose is correctly represented as \mathbf v = (v_1, v_2)^T, indicating that T denotes the transpose. While vectors can be expressed as either rows or columns, the column format is generally considered the standard. The dot product is typically shown in matrix form as x^T y, where x and y are vectors. This convention helps clarify operations involving vectors in linear algebra. Understanding these notations is essential for proper mathematical communication.
Niles
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Hi guys

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

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

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:

x = \begin{pmatrix} x_1\\ x_2 \end{pmatrix}

x^T = \begin{pmatrix}x_1 &amp; x_2 \end{pmatrix}

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

x^T y = \begin{pmatrix}x_1 &amp; x_2 \end{pmatrix} \begin{pmatrix} y_1 \\ y_2 \end{pmatrix}
 
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