How do we decide the direction of vector, that is orthogonal to some other vector?

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assume that two vector given with relationship below: $$\vec{n}\cdot \vec{u} = 0 $$ Then $\vec{n}$ and $\vec{u}$ are orthogonal vectors. Assume that we now have the direction of $\vec{n}$

Then there are infinitely many possible direction for $\vec{u}$
Coordinate System

How do we choose the vector $\vec{u}$?

When we consider vector valued functions, we choose Normal vector to be directed inner side of the curve.

When we consider grad $\nabla$ we know that it is perpendicular to any level curve. Then we choose $\nabla$ to be directed towards outward of the curve.

How do we decide direction? What is the algorithm behind that? What am I missing? Or is it application dependent?

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2 Answers

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It is very much application dependent. Note that in $\Bbb{R}^3$ there are infinitely many vectors orthogonal to a given vector, not just $4$. Indeed, if $\vec{n} = (a,b,c)$ and $\vec{u} = (x,y,z)$, then $$ 0 = \vec{n}\cdot\vec{u} = ax + by + cz $$ is the equation of a plane through the origin.


In the case of the normal vector $\vec{n}$ to a curve $\gamma$ at some point $p$, you can describe the choice in the following (impractical) way:

  1. Consider the tangent vector $\vec{t}$ at $\gamma$ in $p$.
  2. The unit vectors orthogonal to $\vec{t}$ parametrise all the planes containing $\vec{t}$. Consider the osculating plane $\pi$ of $\gamma$ at $p$ (which is uniquely determined).
  3. Unless $\vec{n} = 0$ (in which case $\gamma$ has a flex point at $p$), the line through $p$ with direction $\vec{t}$ divides $\pi$ in two half-planes. The projection of $\gamma$ on $\pi$ is contained in one of them, which we call $H$.
  4. The vector $\vec{n}/\|\vec{n}\|$ is uniquely determined as the unit vector orthogonal to $\vec{t}$ which is contained in $H$.
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There is a special case for twice-differentiable curves acting in $R^3$ For any point of such a curve you can explicitly define an orthonormal basis in $R^3$ that includes the normalized direction and two orthonormal vectors.

The trick is to realize that if $f''$ exists and is and not zero

$(f'(t) \cdot f'(t))' = 0 = 2f''(t)\cdot f'(t) = 0$

and it follows that

$(\frac{f'(t)}{||f'(t)||}, \frac{f''(t)}{||f''(t)||}, \frac{f'(t)}{||f'(t)||} \times \frac{f''(t)}{||f''(t)||})$

is an orthonormal basis in $R^3$.

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