Chapter 13: Problem 18
To illustrate that the length of a smooth space curve does not depend on the parametrization you use to compute it, calculate the length of one turn of the helix in Example 1 with the following parametrizations. a. \(\mathbf{r}(t)=(\cos 4 t) \mathbf{i}+(\sin 4 t) \mathbf{j}+4 t \mathbf{k}, \quad 0 \leq t \leq \pi / 2\) b. \(\mathbf{r}(t)=[\cos (t / 2)] \mathbf{i}+[\sin (t / 2)] \mathbf{j}+(t / 2) \mathbf{k}, \quad 0 \leq t \leq 4 \pi\) c. \(\mathbf{r}(t)=(\cos t) \mathbf{i}-(\sin t) \mathbf{j}-t \mathbf{k}, \quad-2 \pi \leq t \leq 0\)
Short Answer
Step by step solution
Calculate length for parametrization (a)
Calculate length for parametrization (b)
Calculate length for parametrization (c)
Compare lengths for different parametrizations
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Parametrization
- Different parametrizations can represent the same curve, allowing for flexibility in analysis and calculations.
- The key is to transform a curve into a mathematical expression, which can help us compute other properties, like length, more easily.
- Parametrization simplifies handling curves in multidimensional spaces, such as in vector calculus.
Space Curve
- Space curves are generally expressed as \( \mathbf{r}(t) = x(t)\mathbf{i} + y(t)\mathbf{j} + z(t)\mathbf{k} \), where \(x(t), y(t),\) and \(z(t)\) describe the position in 3D space.
- They are important in physics and engineering for describing trajectories and paths of particles or objects.
- Visualizing space curves involves thinking in terms of three axes – commonly known as the x, y, and z axes.
Derivative of Vector Functions
- The derivative \( \mathbf{r}'(t) \) translates to dissecting the curve’s direction and speed.
- It results in a new vector function that represents the tangent vector at each point on the curve.
- The magnitude of this derivative, often referred to as speed, reflects how fast the curve is traversed.
Vector Calculus
- It deals with concepts like gradient, divergence, and curl, fostering a greater understanding of vector fields.
- Vector calculus helps in calculating arc lengths, surface areas, and ensuring precise modeling of the physical world.
- Techniques from vector calculus, such as integration and differentiation, allow analyzing how vectors behave as they move through space.
Integration of Vector Functions
- In this context, the integral of the tangent vector yields the total length of the trajectory.
- The integration process considers the magnitude of the curve's derivative vector over a given interval.
- Accurate integration facilitates modeling real-world systems that involve movement across space.