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[2020-02-06 Thu 13:33]
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Session 61: Conservative Fields, Path Independence, Exact Differentials | Part B: Vector Fields and Line Integrals | 3. Double Integrals and Line Integrals in the Plane | Multivariable Calculus | Mathematics | MIT OpenCourseWare

1 Chalkboard

Figure 1: Gradient fields in physics

Figure 1: Gradient fields in physics

Figure 2: Meaning of conservativeness

Figure 2: Meaning of conservativeness

Figure 3: Equivalent properties I

Figure 3: Equivalent properties I

Figure 4: Equivalent properties II

Figure 4: Equivalent properties II

Figure 5: Equivalent properties III

Figure 5: Equivalent properties III

2 How can we proof that path independence is equivalent to conservative?

2.1 Front

How can we proof that path independence is equivalent to conservative?

\(\vb{F}\) is a vector field and \(C\) any curve

2.2 Back

\(\vb{F} = \grad{f}\) is a gradient field

There are 2 method to show up

  1. Path independence \(\implies\) the line integral around any closed path is 0
    • Since the starting point is the same as finish point we get \({\displaystyle \oint_C \vb{F} \dd{\vb{r}} = f(P_1) - f(P_0) = 0}\)
  2. The line integral around any closed path is 0 \(\implies\) path independence
    • Assume \({\displaystyle \oint_C \vb{F} \dd{\vb{r}} = 0}\) for any closed curve
    • If \(C_1\) and \(C_2\) are both paths between \(P_0\) and \(P_1\), then \(C_1 - C_2\) is a closed path
    • \({\displaystyle \oint_{C_1 - C_2} \vb{F} \dd{r} = \int_{C_1} \vb{F} - \int_{C_2} \vb{F} \dd{\vb{r}} = 0}\)
      • \({\displaystyle \int_{C_1} \vb{F} \dd{\vb{r}} = \int_{C_2} \vb{F} \dd{\vb{r}}}\) (Show path independence)

3 What happens when line integral of close path is not 0?

3.1 Front

What happens when line integral of close path is not 0?

\({\displaystyle \oint_C \vb{F} \cdot \vu{T} \dd{s} \neq 0}\)

Example: \(\vb{F} = \ev{-y, x}\)

3.2 Back

\(\vb{F} \cdot \vu{T}= \abs{\vb{F} = 1}\)

  • \(\vb{F}\) is not conservative
  • \(\vb{F}\) is not a gradient field
  • \(\vb{F}\) is not path independent

4 What does mean this equation in physics?

4.1 Front

What does mean this equation in physics?

\(\vb{F} = \grad{f}\)

4.2 Back

\(\vb{F}\) is gradient of potential \(f\). In reality, it’s negative but in mathematics isn’t.

5 What does mean work of \(\vb{F}\) in physics?

5.1 Front

What does mean work of $\vb{F}$ in physics?

5.2 Back

It the change in value of potential

e.g. gravitational field, electric field vs. gravitational/electric potential

6 What means conservative field?

6.1 Front

What means conservative field?

6.2 Back

No energy can be extracted from the field “for free”, total energy is conserved

7 What implies that a field is conservative?

7.1 Front

What implies that a field is conservative?

7.2 Back

  1. \({\displaystyle \oint_C \vb{F} \dd{\vb{r}} = 0}\) along all closed curves \(C\)
  2. \({\displaystyle \int_C \vb{F} \dd{\vb{r}}}\) is path independent
  3. \(\vb{F}\) is a gradient field \(\vb{F} = \grad{f} = \ev{f_x,f_y}\)
    • \(\leftarrow\) Is fundamental theorem
    • \(\rightarrow\) is how we find potential
  4. \(M \dd{x} + N \dd{y}\) is an exact differential \(= \dd{f}\)

8 How can you say that \(\vb{F}\) is conservative?

8.1 Front

How can you say that $\vb{F}$ is conservative?

Write equivalent equations

8.2 Back

\(\vb{F} = \grad{f} \Leftrightarrow \int_P^Q \vb{F} \dd{\vb{r}}\) (is path independence) \(\Leftrightarrow \oint_C \vb{F} \dd{\vb{r}} = 0\) (for any closed \(C\))

9 What does mean that a function is continuously differentiable?

9.1 Front

What does mean that a function is continuously differentiable?

9.2 Back

All partial derivatives exist and are continuous