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A Constant-Magnitude Vector-Valued Function is Orthogonal to Its Derivative 📂Vector Analysis

A Constant-Magnitude Vector-Valued Function is Orthogonal to Its Derivative

Theorem1

For a vector function r:RRn\mathbf{r} : \mathbb{R} \to \mathbb{R}^{n}, if r(t)=c|\mathbf{r}(t)| = c then the following holds. (cc is a constant)

r(t)r(t)t \mathbf{r}(t) \perp \mathbf{r}^{\prime}(t) \quad \forall t

Explanation

An example can be given for uniform circular motion with a constant radius. In this case, the velocity vector and the acceleration vector are always perpendicular to each other.

Proof

By the property of the dot product,

rr=r2=c2 \mathbf{r} \cdot \mathbf{r} = | \mathbf{r} |^{2} = c^{2}

Differentiating both sides by tt yields the following:

2rr=0    rr=0 2 \mathbf{r} \cdot \mathbf{r}^{\prime} = 0 \implies \mathbf{r} \cdot \mathbf{r}^{\prime} = 0

Thus, the two vectors are orthogonal.


  1. James Stewart, Daniel Clegg, and Saleem Watson, Calculus (early transcendentals, 9E), p901 ↩︎