Chapter 14: Problem 5
Give a practical formula for computing the principal unit normal vector.
Short Answer
Expert verified
Answer: To compute the principal unit normal vector, follow these steps:
1. Find the arc length parameterization s(t) = ∫ ||dr(t)/dt|| dt.
2. Compute the tangent vector T(t) = (1/ ||dr(t)/dt||)(dr(t)/dt).
3. Calculate the derivative of the tangent vector with respect to the arc length s: (d/ds)T(s) = (dT/dt)(ds/dt).
4. Obtain the principal normal vector N(t) = (1/||(dT/dt)(ds/dt)||)(dT/dt)(ds/dt).
5. Normalize the principal normal vector: n(t) = N(t) / ||N(t)||.
Step by step solution
01
Arc length parameterization
Given a curve C described by a vector function r(t) = . To compute the principal unit normal vector, we first need to find the arc length parameterization of the curve. Let s(t) be the arc length function from some reference point on the curve. The arc length s(t) is given by the integral of the magnitude of the tangent vector dr(t)/dt:
s(t) = ∫ ||dr(t)/dt|| dt
02
Compute the tangent vector
Compute the tangent vector T(t) by differentiating r(t) with respect to the arc length s instead of the parameter t. To find the derivative with respect to s, we can use the chain rule:
(d/ds)r(s) = (dr/dt)(ds/dt)
Since we know
(ds/dt) = ||dr(t)/dt||
We can compute
T(t) = (1/ ||dr(t)/dt||)(dr(t)/dt)
03
Compute the derivative of the tangent vector
Now we need to compute the derivative of the tangent vector T(t) with respect to the arc length s. We use the chain rule again:
(d/ds)T(s) = (dT/dt)(ds/dt)
04
Compute the principal normal vector
The principal normal vector N(t) is given by the derivative of the tangent vector divided by its magnitude:
N(t) = (1/||(dT/dt)(ds/dt)||)(dT/dt)(ds/dt)
05
Normalize the principal normal vector
Finally, we compute the unit principal normal vector by dividing the principal normal vector by its magnitude:
n(t) = N(t) / ||N(t)||
Now we have a practical formula for computing the principal unit normal vector given the curve C described by the vector function r(t). Given any specific curve, we can apply the above steps to compute its principal unit normal vector.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Arc Length Parameterization
Understanding arc length parameterization starts with recognizing that curves can be represented in various ways, and one of the most intuitive is via a parameter, typically denoted as 't'. However, not all parameters are created equal. Imagine walking along a curvy path—the pace at which you walk (your speed) might change. In mathematical terms, this is akin to how the representation of a curve can vary with different parameters.
The arc length parameter, often denoted as 's', provides a constant 'pace', enabling us to describe the curve's geometry in a uniform manner. It is defined as the distance traveled along the curve from a fixed starting point to any other point on the curve. Calculated by the integral \( s(t) = \int ||\frac{dr(t)}{dt}|| dt \), this function accumulates the magnitude of the curve's differential elements, yielding a parameterization that is directly related to the physical length of the path.
This reparameterization process is essential because it allows subsequent calculations, like finding the tangent or the principal unit normal vector, to be based on a parameter that is consistent regardless of the curve's specific shape. It also simplifies computations in physics and engineering where the actual length of paths matters.
The arc length parameter, often denoted as 's', provides a constant 'pace', enabling us to describe the curve's geometry in a uniform manner. It is defined as the distance traveled along the curve from a fixed starting point to any other point on the curve. Calculated by the integral \( s(t) = \int ||\frac{dr(t)}{dt}|| dt \), this function accumulates the magnitude of the curve's differential elements, yielding a parameterization that is directly related to the physical length of the path.
This reparameterization process is essential because it allows subsequent calculations, like finding the tangent or the principal unit normal vector, to be based on a parameter that is consistent regardless of the curve's specific shape. It also simplifies computations in physics and engineering where the actual length of paths matters.
Tangent Vector
The concept of a tangent vector is foundational in understanding the geometry of curves. It is the vector that 'touches' the curve at a single point and indicates the direction in which the curve is heading at that point. Technically, the tangent vector \( T(t) \) is found by taking the derivative of the curve's vector function \( r(t) \) and normalizing it. This ensures that the tangent vector has a magnitude of one, showing direction alone without any information about speed.
To compute \( T(t) \) using arc length parameterization, we first differentiate the position vector \( r(t) \) with respect to the arc length parameter 's', which results in a vector pointing in the direction of the curve's instantaneous movement. The expression \( T(t) = \frac{1}{||\frac{dr(t)}{dt}||}\frac{dr(t)}{dt} \) captures this, and the normalization step (dividing by the magnitude) assures that we are dealing with a unit vector, thus simplifying many operations in vector calculus.
To compute \( T(t) \) using arc length parameterization, we first differentiate the position vector \( r(t) \) with respect to the arc length parameter 's', which results in a vector pointing in the direction of the curve's instantaneous movement. The expression \( T(t) = \frac{1}{||\frac{dr(t)}{dt}||}\frac{dr(t)}{dt} \) captures this, and the normalization step (dividing by the magnitude) assures that we are dealing with a unit vector, thus simplifying many operations in vector calculus.
Vector Function Differentiation
When dealing with vector functions like \( r(t) = \) that describe curves in space, differentiation is a tool that helps us understand how these functions (and the geometrical shapes they represent) change. Vector function differentiation involves finding the derivative of each component function individually with respect to the parameter, often time or arc length.
This is easier to grasp when you think about motion: Imagine an object moving through space; its position is a point that changes over time. Differentiating the position vector function with respect to time (or another parameter) gives you the velocity vector—the rate of change of position. And if you differentiate that velocity vector again, you get the acceleration vector—the rate of change of the rate of change!
In the context of curves, differentiating the vector function representing the curve results in the tangent vector, showing how the curve changes direction at every point. Following this, as we saw in the exercise solution, differentiating the tangent vector yet again (with respect to the arc length parameter) implies how the curve's direction is changing as we move along it, paving the way to define the principal normal vector.
This is easier to grasp when you think about motion: Imagine an object moving through space; its position is a point that changes over time. Differentiating the position vector function with respect to time (or another parameter) gives you the velocity vector—the rate of change of position. And if you differentiate that velocity vector again, you get the acceleration vector—the rate of change of the rate of change!
In the context of curves, differentiating the vector function representing the curve results in the tangent vector, showing how the curve changes direction at every point. Following this, as we saw in the exercise solution, differentiating the tangent vector yet again (with respect to the arc length parameter) implies how the curve's direction is changing as we move along it, paving the way to define the principal normal vector.
Curve Parameterization
Curve parameterization is essentially a method to describe a curve as a continuous collection of points in space. Each point on the curve is associated with a parameter, typically denoted by 't'. We do this using vector functions. A parameterized curve is given by a vector function \( r(t) = \) where \( x(t) \), \( y(t) \), and \( z(t) \) are the coordinate functions and describe the coordinates of the curve's points as the parameter 't' varies.
From straight lines to complex spirals, parameterizing curves enables us to apply the powerful toolbox of calculus to study and understand their properties. The parameter 't' could represent anything from time in dynamics to arc length for uniform motion along the curve. The choice of parameter can greatly affect the complexity of calculations and interpretations of the curve's geometry, which is why arc length parameterization is often used for its beneficial properties of uniformity and ease of application in many areas of mathematics.
From straight lines to complex spirals, parameterizing curves enables us to apply the powerful toolbox of calculus to study and understand their properties. The parameter 't' could represent anything from time in dynamics to arc length for uniform motion along the curve. The choice of parameter can greatly affect the complexity of calculations and interpretations of the curve's geometry, which is why arc length parameterization is often used for its beneficial properties of uniformity and ease of application in many areas of mathematics.