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Welcome, class! Today, we're diving into cylindrical coordinates and their basis vectors. Can anyone tell me what basis vectors are in this context?
Are they the vectors that define the coordinate axes in cylindrical coordinates?
Exactly! In cylindrical coordinates, we have three basis vectors: e_r, e_θ, and e_z. Each of these corresponds to a direction in our cylindrical space. Now, who can tell me why it's important to understand how they change?
Because they affect how we describe forces and motions in that coordinate system?
Correct! They impact our calculations in linear momentum balance, especially when θ changes. Let's dive deeper into how these basis vectors change with θ!
Now, let's derive the partial derivatives of e_r and e_θ with respect to θ. When we consider two points A and B on the z=0 plane with a difference in θ, we can express this mathematically.
How do we start with the differentiation?
Great question! We can write the change in the basis vectors as a function of ∆θ. Observing the angle difference geometrically helps us understand this better. Let's consider the change in e_r as we move from A to B.
So we’re looking at a triangle formed by the two radial vectors?
Exactly! The angle between them is ∆θ, and we can analyze the magnitude of the change in vector direction using trigonometric relationships. Let's summarize our findings on the partial derivative!
Now that we've established the derivative expressions, let's discuss their geometric significance. When θ changes, how do the basis vectors e_r and e_θ change accordingly?
e_r shifts away or towards the axis, right? And e_θ rotates around the axis!
Spot on! As θ increases, e_r moves outward while e_θ represents the rotation around the axis. This dynamic arrangement allows for effective analysis of systems under various forces.
Does this relationship apply in practically every cylindrical system?
Yes, indeed! It’s essential in applications such as fluid dynamics and structural analysis. Remember to visualize these changes whenever you're working with cylindrical coordinates.
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In this section, we explore how the basis vectors in cylindrical coordinates (r, θ, z) change as the angle θ varies. We derive the expressions for the partial derivatives of basis vectors concerning θ, highlighting the geometric interpretation and significance in solid mechanics.
In cylindrical coordinates, the basis vectors are influenced by the angular position θ. This section focuses on deriving the partial derivatives of the basis vectors
(e_r, e_θ, e_z) with respect to θ. We start by viewing two points on the z=0 plane whose θ coordinates differ by ∆θ. Using the definition of differentiation, we establish the relationship between the change in the basis vectors and the angle ∆θ. Through a geometric perspective, we visualize how these basis vectors interact and vary in space. The analysis reveals that as θ changes, the radial basis vector e_r shifts accordingly, while e_θ's direction changes as well, underlining their dependence on θ. This understanding is crucial for applying the principles of linear momentum balance in solid mechanics, particularly in cylindrical coordinate systems.
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We now show how to obtain \( \frac{\partial \mathbf{e}r}{\partial \theta} \) and \( \frac{\partial \mathbf{e}\theta}{\partial \theta} \). We again draw the z=0 plane as shown in Figure 5a. The θ coordinates of the two points A and B differ by \( \Delta \theta \). Using the definition of differentiation, we can write.
In this chunk, we introduce the purpose of the section, which is to derive the partial derivatives of the basis vectors with respect to the angular coordinate θ. By setting up a coordinate system on the z=0 plane, we highlight two points A and B that have a difference in their θ coordinates denoted by the symbol Δθ. We also mention that we are using the concept of differentiation to formalize our derivation, which is crucial in understanding how the basis vectors change with angle.
Think of this situation like two points on a circular track (points A and B) that are separated by a specific angle (Δθ). This angle describes how far apart the two points are in a circular motion, much like how we quantify distance in linear terms along a straight path.
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To obtain it geometrically, we parallelly transport the two radial vectors such that they start from a common point as shown in Figure 5b.
Here, we take a geometric approach to visualize how to derive the partial derivatives. We 'transport' the radial vectors of points A and B so that they originate from the same starting point. This helps in observing the angle created between the two vectors, which remains equal to Δθ. Understanding the geometric placement is critical because it allows us to explore the relationship between the basis vectors' orientation and their angular separation.
Imagine you are standing at the center of a pizza and you look at two slices (representing the vectors). As you turn your head from one slice to another, you can see how the angle between your view of the two slices corresponds to the change in θ—capturing that feeling of movement in a rotational framework.
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The angle between the two radial vectors is still Δθ. The numerator in equation (7) will thus equal the third side of the triangle in Figure 5b which is also denoted by Δe there.
In this chunk, we analyze the triangle formed by the two radial vectors and their angle of separation, Δθ. The length of the third side of this triangle, which we denote as Δe, will play a key role in expressing the relationship between the basis vectors and their directional changes. Essentially, we are linking the angle to the geometric change in the basis vectors.
Consider this like three points on a triangle: two points are fixed radially while the third point represents their connection across an angle. The length of that connecting side measures how 'spread apart' two directions are, just like understanding the width of an angle in a dial on a measuring instrument.
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The magnitude of the two sides representing the basis vectors has magnitude 1 as they represent unit vectors. We then draw an angle bisector to the angle Δθ.
This section brings in trigonometric concepts to further derive the change in the basis vectors. We emphasize that the basis vectors are unit vectors, meaning they have a length of 1. By constructing an angle bisector, this facilitates the understanding of how Δe behaves when Δθ gets very small, ultimately helping in calculating the partial derivatives systematically using trigonometrical limits.
You can visualize this with a garden stake set between two garden beds. As you pull the stake (representing the angle bisector) to create an even space, you're effectively finding the midpoint between the two edges of your beds—this is akin to how we equally measure changes between the two vectors around the angle.
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Let us denote the direction of this vector by \( \mathbf{e} \). Substituting these results in equation (7), we get the partial derivatives as \( \frac{\partial \mathbf{e}r}{\partial \theta} = \mathbf{e}\theta \) and \( \frac{\partial \mathbf{e}_\theta}{\partial \theta} = -\mathbf{e}_r \).
As we approach the limit where Δθ approaches zero, we find that the angle we derived leads us to specific values for the partial derivatives of our basis vectors. We specify that the change in the radial unit vector with respect to angle gives us the angular vector, and vice versa, reflecting the circular nature of the coordinate system. These relationships are vital for further applications in momentum balance and dynamics.
Think of this like a steering wheel in a car. The way the wheel turns (Δθ) influences the direction you go (the basis vectors). If you turn the wheel just a tiny bit, the car's trajectory changes in a specific way, showing us how sensitive these relationships are in movement.
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Key Concepts
Change in Basis Vectors: Basis vectors in cylindrical coordinates change with the angle θ.
Geometric Interpretation: Understanding the geometry helps in visualizing how vectors are affected by changes in θ.
See how the concepts apply in real-world scenarios to understand their practical implications.
When moving from point A to point B in cylindrical coordinates, the radial vector e_r shifts while e_θ rotates to maintain perpendicularity.
In fluid mechanics, the velocity vector in cylindrical coordinates evolves based on how the radial and angular components shift.
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Cylindrical motion, around we go, e_r and e_θ in perfect flow!
Imagine a wheel spinning; the spokes represent e_r while the edge of the wheel represents e_θ. As you turn the wheel, e_r moves outward, and e_θ spins around, illustrating their relationship.
Remember 'R-A-Z': Radius (e_r), Angle (e_θ), and Zenith (e_z).
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Review the Definitions for terms.
Term: Partial Derivative
Definition:
The derivative of a function with respect to one of its variables, holding the others constant.
Term: Basis Vector
Definition:
Vectors that define the direction of the coordinates in a coordinate system.
Term: Cylindrical Coordinates
Definition:
A coordinate system that extends polar coordinates by adding a height (z) dimension.
Term: Cylindrical Coordinate System
Definition:
A system of coordinates characterized by radial distance, angle, and height.
Term: Vector Translation
Definition:
The process of moving a vector to a different point while preserving its magnitude and direction.