Why is the cross product perpendicular?

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The cross product of two vectors is defined as a vector that is perpendicular to the plane formed by those vectors. This perpendicularity is demonstrated mathematically by showing that the dot product of the cross product with each of the original vectors equals zero. The matrix definition of the cross product reinforces this concept, as it results in a determinant that becomes zero when evaluated with either of the original vectors, confirming their orthogonality. The cross product is unique in producing a vector perpendicular to two given vectors, making it a valuable tool in vector mathematics. Its utility is evident in various applications where a perpendicular vector is required.
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Why is the cross product of two vectors perpendicular to the plane the two vectors lie on?

I am aware that you can prove this by showing that:

(\vec{a}\times\vec{b})\cdot\vec{a} = (\vec{a}\times\vec{b})\cdot\vec{b} = 0

Surely it was not defined as this and worked backwards though. I see little advantage in making this definition, and simply guessing it seems a bit random, so what brings it about?
 
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What is your definition of the cross product?
 
By the matrix definition of the cross product we have
\vec{a}\times \vec{b} \cdot \vec{c} <br /> = \begin{vmatrix} \vec{i} &amp; \vec{j} &amp; \vec{k} \\ a_i &amp; a_j &amp; a_k \\ b_i &amp; b_j &amp; b_k \end{vmatrix} \cdot \vec{c}<br /> = (\vec{i} \begin{vmatrix} a_j &amp; a_k \\ b_j &amp; b_k \end{vmatrix} -\vec{j} \begin{vmatrix} a_i &amp; a_k \\ b_i &amp; b_k \end{vmatrix} + \vec{k} \begin{vmatrix} a_i &amp; a_j \\ b_i &amp; b_j \end{vmatrix} ) \cdot \vec{c} \\ <br /> = (c_i \begin{vmatrix} a_j &amp; a_k \\ b_j &amp; b_k \end{vmatrix} -c_j \begin{vmatrix} a_i &amp; a_k \\ b_i &amp; b_k \end{vmatrix} + c_k \begin{vmatrix} a_i &amp; a_j \\ b_i &amp; b_j \end{vmatrix} )<br /> = \begin{vmatrix} c_i &amp; c_j &amp; c_k \\ a_i &amp; a_j &amp; a_k \\ b_i &amp; b_j &amp; b_k \end{vmatrix}.

When \vec{c} = \vec{a} or \vec{c} = \vec{b} the determinant has two equal rows and becomes zero. This means the dot product is zero and the vectors are perpendicular.
 
The cross product is the (up to multiplication by a constant) only product possible that takes two vectors to a third. It is also extremely useful to produce a vector perpendicular to two given vectors. All the time you have two vectors and need one perpendicular to them. Bam! Cross product done.
 
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