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Vector fields

Quantity has a quality of its own, Joseph Stalin.

Vector fields

A vector field is, roughly speaking, an assignment of a vector $\vec{F}$ to each point (x, y) in a space, i.e., $\vec{F} = M\vec{i}+N\vec{j}$ where M and N are functions of x and y.

Vector fields are commonly used to model physical phenomena, such as the speed and direction of a moving fluid (like wind speed -meters/seconds-) or the strength and direction of forces (such as magnetic or gravitational forces) as they vary across space.

A vector field on a plane can be visualized as a collection of arrows, each attached to a point on the plane. These arrows represent vectors with specific magnitudes and directions.

We are going to illustrate the following vector fields: $\vec{F} = 2\vec{i}+\vec{j}$ (Figure 1, the vector does not depend on x and y), $\vec{F} = x \vec{i}$ (Figure 2), $\vec{F} = x\vec{i}+y\vec{j}$ (Figure 3), and $\vec{F} = -y\vec{i}+x\vec{j}$ (Figure 4, (x, y)→(-y,x), i.e., 90° counter-clockwise).

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Work and line integrals

In its simplest form, for a constant force aligned with the direction of motion, the work equals the product of the force strength and the distance traveled, W = force · distance = $\vec{F}·Δ\vec{r}$.

More generally, work is the energy transferred when a force acts on an object and displaces it along a path. In the context of vector fields, we can calculate the work done by a force field along a curve or trajectory C, W = $\int_{C} \vec{F}·d\vec{r}$ (= $\lim_{\Delta r_i \to 0} \sum_{i} \vec{F}·Δ\vec{r_i} = \lim_{\Delta r_i \to 0} \sum_{i} \vec{F}·\frac{Δ\vec{r_i}}{Δt}·Δt$, realize that $\frac{Δ\vec{r_i}}{Δt}$ is the velocity vector)

Therefore, W = $\lim_{\Delta t \to 0}\sum_{i} (\vec{F}·\frac{Δ\vec{r_i}}{Δt}·Δt)$ ⇒ W = $\int_{C} \vec{F}·d\vec{r} = \int_{t_1}^{t_2} (\vec{F}·\frac{d\vec{r}}{dt}·dt)$

W = $\int_{C} \vec{F}·d\vec{r} = \int_{t_1}^{t_2} (\vec{F}·\frac{d\vec{r}}{dt}·dt) = \int_{0}^{1} (\vec{F}·\frac{d\vec{r}}{dt}·dt)$

Consider $\vec{F} = ⟨-y, x⟩ =$[x = t, y = t2] = ⟨-t2, t⟩. Besides, $\frac{dx}{dt}=1,\frac{dy}{dt}= 2t, \frac{d\vec{r}}{dt}=⟨1,2t⟩$

W = $\int_{0}^{1} (\vec{F}·\frac{d\vec{r}}{dt}·dt) =\int_{0}^{1} ⟨-t^2, t⟩ ⟨1, 2t⟩ dt = \int_{0}^{1} (-t^2+2t)dt = \int_{0}^{1} t^2dt = \frac{t^3}{3}\bigg|_{0}^{1} = \frac{1}{3}$

Another way of putting it, $\vec{F} = ⟨M, N⟩, \vec{dr} = ⟨dx, dy⟩ ⇒ \vec{F}·\vec{dr} = ⟨M, N⟩ · ⟨dx, dy⟩ = Mdx + Ndy$

W = $\int_{C} \vec{F}·d\vec{r} = \int_{C} Mdx + Ndy$

Evaluating Double Integrals

A method to evaluate double integrals is to express x and y in terms of a single variable, then substitute, and finally integrate.

Let $\vec{F} = -y\vec{i}+x\vec{j}$, and the curve x = t, y = t2, 0 ≤ t ≤ 1 ⇒ dx = dt, dy = 2t·dt.

W = $\int_{C} \vec{F}·d\vec{r} = \int_{C} Mdx + Ndy = \int_{C} -t^2dt+t·2tdt = \int_{0}^{1} t^2dt = \frac{1}{3}.$

This method depends on the trajectory C, but not on parametrization, e.g., the previous example, we could have chosen x = sin(θ), y = sin(θ), 0 ≤ θ ≤ $\frac{π}{2}$.

Geometrical interpretation

Recall that the unit tangent vector $\hat{\mathbf{T}}$ is a normalized vector (it has a length of one) that is tangent to a curve at any point. It is a vector that points in the direction of the curve’s movement as it passes through that point.

If a take a small piece of our trajectory C, $Δ\vec{r}$, it will go in the same direction as the unit vector and its length is Δs (s is the distance along the trajectory), that is, $d\vec{r} = ⟨dx, dy⟩ = \hat{\mathbf{T}}·ds$ (ds is the arclength) -Figure A.-

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Therefore, W = $\int_{C} \vec{F}·d\vec{r} = \int_{C} \vec{F}·\hat{\mathbf{T}}·ds$

Alternatively, W = $\int_{C} \vec{F}·d\vec{r} = \int_{C} Mdx + Ndy =\int_{C} -ydx +xdy$=[x = acos(θ), y = asin(θ), 0 ≤ θ ≤ 2π ]=$\int_{C} -(asin(θ))(-asin(θ)dθ)+(acos(θ))(acos(θ)dθ = \int_{C} a^2(sin^2(θ)+cos^2(θ)) = \int_{0}^{2π} a^2dθ = a^2\int_{0}^{2π} dθ = a^2·2π$

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W = $\int_{C} \vec{F}·d\vec{r} = \int_{C_1} \vec{F}·d\vec{r} + \int_{C_2} \vec{F}·d\vec{r} + \int_{C_3} \vec{F}·d\vec{r} = \int_{C_1} (ydx+xdy) + \int_{C_2} (ydx+xdy) + \int_{C_3} (ydx+xdy)$

$\int_{C_1} (ydx+xdy) =$[y = 0 ⇒ dy = 0] $\int_{C_1} (0·dx+x·0) = \int_{C_1} 0 = 0$ (Geometrically, the vector field is perpendicular to the motion).

$\int_{C_2} (ydx+xdy) =$[Notice that C2 is a portion of the unit circle, so polar coordinates are a good idea, x = cos(θ), y = sin(θ), 0 ≤ θ ≤ π4, dx = -sin(θ)dθ, dy = cos(θ)dθ] =$\int_{C_2} (sin(θ)(-sin(θdθ))+ cos(θ)·(cos(θ)dθ)) = \int_{0}^{\frac{π}{4}} cos^2(θ)-sin^2(θ)dθ = \int_{0}^{\frac{π}{4}} cos(2θ)dθ = \frac{1}{2}sin(2θ)\bigg|_{0}^{\frac{π}{4}} = \frac{1}{2}$

$\int_{C_3} (ydx+xdy) =$ [$x = \frac{1}{\sqrt{2}}-\frac{1}{\sqrt{2}}t, y = \frac{1}{\sqrt{2}}-\frac{1}{\sqrt{2}}t$, 0 ≤ t ≤ 1, but a better idea is x = t, y = t, 0 ≤ t ≤ $\frac{1}{\sqrt{2}}$ and we will get the work backwards ⇒ dx = dy = dt]

$\int_{-C_3} (ydx+xdy) = \int_{0}^{\frac{1}{\sqrt{2}}} tdt+tdt = \int_{0}^{\frac{1}{\sqrt{2}}} 2tdt = t^2\bigg|_{0}^{\frac{1}{\sqrt{2}}} = \frac{1}{2}$

⇒ $\int_{C_3} (ydx+xdy) = -\frac{1}{2} ⇒ W = \int_{C_1} (ydx+xdy) + \int_{C_2} (ydx+xdy) + \int_{C_3} (ydx+xdy) = 0 + \frac{1}{2} -\frac{1}{2} = 0.$

Bibliography

This content is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and is based on MIT OpenCourseWare [18.01 Single Variable Calculus, Fall 2007].
  1. NPTEL-NOC IITM, Introduction to Galois Theory.
  2. Algebra, Second Edition, by Michael Artin.
  3. LibreTexts, Calculus and Calculus 3e (Apex). Abstract and Geometric Algebra, Abstract Algebra: Theory and Applications (Judson).
  4. Field and Galois Theory, by Patrick Morandi. Springer.
  5. Michael Penn, and MathMajor.
  6. Contemporary Abstract Algebra, Joseph, A. Gallian.
  7. YouTube’s Andrew Misseldine: Calculus. College Algebra and Abstract Algebra.
  8. MIT OpenCourseWare 18.01 Single Variable Calculus, Fall 2007 and 18.02 Multivariable Calculus, Fall 2007.
  9. Calculus Early Transcendentals: Differential & Multi-Variable Calculus for Social Sciences.
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