The chain rule is a method in calculus used to compute the derivative of a composition of functions. Think of it as a "rule of thumb" for working with nested functions. When you have a function composed within another, the chain rule lets you differentiate step by step.
In our exercise, the chain rule is employed to bridge the gap between differentiation with respect to different variables—specifically, we go from \(\frac{d\mathbf{B}}{ds}\) to \(\frac{d\mathbf{B}}{dt}\). The key is to recognize that \(ds\) and \(dt\) are linked through the velocity, altering how \(\mathbf{B}\) and in essence, the torsion itself behaves over time. The rule is expressed as:
- \(\frac{d(f\circ{g})}{dx} = \frac{df}{dg} \cdot \frac{dg}{dx}\)
where each part corresponds to a piece of the differentiated function. By applying this rule, we simplify complicated processes and translate them into manageable calculations.