- Calculate scalar line integrals
- Calculate vector line integrals
- Apply line integrals to compute work
- Describe flux and circulation
Scalar Line Integrals
The Main Idea
A scalar line integral extends single-variable integration to curves in space. Instead of integrating over an interval, we integrate along a curve, measuring how a function accumulates as we travel along that path. The key insight is translating integration with respect to arc length into integration with respect to a parameter.
The Core Idea
To define [latex]\int_C f , ds[/latex], partition curve [latex]C[/latex] into small pieces of arc length [latex]\Delta s_i[/latex]. Choose a point [latex]P_i^*[/latex] in each piece, evaluate [latex]f(P_i^*)[/latex], multiply by [latex]\Delta s_i[/latex], and sum. Taking the limit as arc lengths shrink to zero gives the scalar line integral.
Geometric Interpretation
For planar curve [latex]C[/latex] with [latex]f(x,y) \geq 0[/latex], project [latex]C[/latex] up to the surface [latex]z = f(x,y)[/latex] and drop a “sheet” down to the [latex]xy[/latex]-plane. The area of this sheet equals [latex]\int_C f(x,y) \, ds[/latex]. When [latex]f[/latex] takes negative values, the integral equals area above the plane minus area below.
Computing Scalar Line Integrals
The challenge is integrating with respect to arc length [latex]s[/latex]. The solution: use a parameterization [latex]\mathbf{r}(t) = \langle x(t), y(t), z(t) \rangle[/latex] for [latex]a \leq t \leq b[/latex]. Then:
[latex]\int_C f(x,y,z) , ds = \int_a^b f(\mathbf{r}(t)) ||\mathbf{r}'(t)|| \, dt[/latex]
The key relationship is [latex]ds = ||\mathbf{r}'(t)|| \, dt[/latex]. Arc length change equals the parameter change scaled by the magnitude of the velocity vector. For planar curves, [latex]||\mathbf{r}'(t)|| = \sqrt{(x'(t))^2 + (y'(t))^2}[/latex]. For space curves, add [latex]z'(t)^2[/latex] under the square root.
Independence of Parameterization
Scalar line integrals don’t depend on how you parameterize the curve—only on the curve itself. Different parameterizations of the same curve (traversed once) give the same integral value. This matches the geometric interpretation: the sheet area doesn’t change based on how you describe the curve.
Arc Length
When [latex]f = 1[/latex], the scalar line integral becomes [latex]\int_C 1 , ds = \text{length}(C)[/latex]. This provides an alternative formula for arc length using line integrals.
Vector Line Integrals
The Main Idea
Vector line integrals measure work done by a force field along a curve. Unlike scalar line integrals where orientation doesn’t matter, vector line integrals depend critically on direction—reversing the path changes the sign. The key is computing the dot product of the field with the unit tangent vector along the curve.
The Core Definition
For vector field [latex]\mathbf{F}[/latex] along oriented curve [latex]C[/latex], the vector line integral is:
[latex]{\displaystyle\int_{C}}{\textbf{F}} \cdot {\textbf{T}}{ds} = {\displaystyle\lim_{{n}{\rightarrow}{\infty}}}{\displaystyle\sum^{n}_{i = 1}} \ {\textbf{F}}{({P}^{*}_{i})} \cdot {\textbf{T}}{({P}^{*}_{i})}{{\Delta}{s}_{i}}[/latex]
This sums the component of [latex]\mathbf{F}[/latex] tangent to [latex]C[/latex] along the entire curve. Physically, it represents work done moving a particle along [latex]C[/latex] through force field [latex]\mathbf{F}[/latex].
Computing with Parameterization
For parameterization [latex]\mathbf{r}(t)[/latex], [latex]a \leq t \leq b[/latex], use:
[latex]\int_C \mathbf{F} \cdot d\mathbf{r} = \int_a^b \mathbf{F}(\mathbf{r}(t)) \cdot \mathbf{r}'(t) \, dt[/latex]
The unit tangent [latex]\mathbf{T} = \frac{\mathbf{r}'(t)}{||\mathbf{r}'(t)||}[/latex] and [latex]ds = ||\mathbf{r}'(t)|| dt[/latex] combine to give [latex]\mathbf{T} \, ds = \mathbf{r}'(t) \, dt[/latex]. This simplifies computation significantly—no need to calculate [latex]\mathbf{T}[/latex] explicitly.
Orientation Matters
Reversing curve direction changes the integral’s sign: [latex]\int_{-C} \mathbf{F} \cdot d\mathbf{r} = -\int_C \mathbf{F} \cdot d\mathbf{r}[/latex]. This makes physical sense: hiking up a mountain against gravity does negative work, while descending the same path does positive work.
Alternative Notation
The notation [latex]\int_C P \, dx + Q \, dy + R\ , dz[/latex] is equivalent to [latex]\int_C \mathbf{F} \cdot d\mathbf{r}[/latex] when [latex]\mathbf{F} = \langle P, Q, R \rangle[/latex]. This comes from treating [latex]d\mathbf{r} = \langle dx, dy, dz \rangle[/latex], so [latex]\mathbf{F} \cdot d\mathbf{r} = P \, dx + Q \, dy + R \, dz[/latex].
Piecewise Smooth Curves
For curves composed of smooth pieces [latex]C_1 + C_2 + \cdots + C_n[/latex], integrate over each piece and add: [latex]\int_C \mathbf{F} \cdot d\mathbf{r} = \int_{C_1} \mathbf{F} \cdot d\mathbf{r} + \cdots + \int_{C_n} \mathbf{F} \cdot d\mathbf{r}[/latex]. This parallels how single-variable integrals behave over subdivided intervals.
Flux and Circulation
The Main Idea
Flux and circulation are two fundamental concepts involving line integrals. Flux measures flow across a curve (perpendicular to the curve), while circulation measures flow along a curve (tangent to the curve). Both are crucial for understanding vector fields and appear throughout vector calculus theorems.
Flux: Flow Across a Curve
Flux measures how much of a vector field passes through a curve. For velocity field [latex]\mathbf{F}[/latex] and curve [latex]C[/latex], flux quantifies the rate fluid crosses [latex]C[/latex]. Instead of dotting with unit tangent [latex]\mathbf{T}[/latex], we dot with unit normal [latex]\mathbf{N}[/latex]:
[latex]\int_C \mathbf{F} \cdot \mathbf{N} \, ds[/latex]
For parameterization [latex]\mathbf{r}(t) = \langle x(t), y(t) \rangle[/latex], define [latex]\mathbf{n}(t) = \langle y'(t), -x'(t) \rangle[/latex], which points perpendicular to [latex]C[/latex] (to the right as you traverse). Then:
[latex]\int_C \mathbf{F} \cdot \mathbf{N} , ds = \int_a^b \mathbf{F}(\mathbf{r}(t)) \cdot \mathbf{n}(t) \, dt[/latex]
The alternative notation [latex]\int_C -Q \, dx + P \, dy[/latex] reflects the perpendicular relationship between normal and tangent vectors.
Circulation: Flow Along a Curve
Circulation measures the tendency of a vector field to flow along a closed curve [latex]C[/latex]:
[latex]\oint_C \mathbf{F} \cdot \mathbf{T} \, ds[/latex]
The circle on the integral indicates [latex]C[/latex] is closed (has no endpoints). When [latex]\mathbf{F}[/latex] represents fluid velocity, circulation measures how much the fluid “circulates” in the direction of [latex]C[/latex]. Positive circulation means the field flows with the curve orientation; negative means it flows against it.
Key Differences
Flux uses the normal vector (perpendicular to the curve) and measures flow crossing through the curve. Circulation uses the tangent vector (parallel to the curve) and measures flow along the curve. For conservative fields, circulation around closed curves equals zero—an important property we’ll explore further.