Find the time derivative of an integral of a function over a moving curve, involving partial derivatives and curve geometry | Step-by-Step Solution
Problem
Derive the time derivative of an integral along a moving curve, given a smooth curve r(l,t), velocity vector V(l,t), and a smooth function f(x,t), showing the derivative is equal to the integral of time-dependent terms.
๐ฏ What You'll Learn
- Understand time derivatives of curve integrals
- Learn derivative techniques for moving curves
- Develop advanced calculus problem-solving skills
Prerequisites: Multivariable calculus, Vector analysis, Differential geometry
๐ก Quick Summary
Hi there! I can see you're working with a really fascinating problem that combines calculus with moving geometry - this falls into the realm of transport theorems or Reynolds transport theorem. Here's something to think about: when you have an integral along a curve that's moving through space and time, what are the different ways that integral could be changing? Consider that the function f itself might be changing at every point in space, but also that the curve is literally moving to new locations where f has different values. What concepts from multivariable calculus help you handle situations where a function depends on time both explicitly and through other variables that also depend on time? I'd encourage you to think about the chain rule in multiple dimensions and how velocity vectors describe motion - these will be your key tools here. You've got all the calculus background you need to tackle this step by step!
Step-by-Step Explanation
What We're Solving:
We need to find how fast an integral changes when both the function being integrated AND the curve we're integrating along are changing with time. This is like asking: "If I'm measuring the total temperature along a rope that's moving through space, and the temperature field itself is changing, how fast is my total measurement changing?"The Approach:
This is a beautiful application of the transport theorem (also called the Reynolds transport theorem). We'll use the fundamental theorem of calculus in a clever way, treating the moving curve as having endpoints that change with time. The key insight is that the rate of change comes from two sources:- 1. The function f itself changing at each point (even if the curve stayed still)
- 2. The curve moving to new locations where f has different values
Step-by-Step Solution:
Step 1: Set up the integral we want to differentiate Let's say we have: $$I(t) = \int_0^L f(\mathbf{r}(l,t), t) \, dl$$
where $\mathbf{r}(l,t)$ describes our moving curve parameterized by arc length $l$, and $f(\mathbf{x},t)$ is our time-dependent function.
Step 2: Apply the fundamental theorem of calculus Since we're differentiating an integral with respect to time, we can bring the derivative inside: $$\frac{dI}{dt} = \int_0^L \frac{d}{dt}[f(\mathbf{r}(l,t), t)] \, dl$$
Step 3: Use the chain rule on the integrand The function $f(\mathbf{r}(l,t), t)$ depends on time in TWO ways:
- Explicitly through its second argument
- Implicitly because $\mathbf{r}(l,t)$ changes with time
Step 4: Recognize the velocity vector The term $\frac{\partial \mathbf{r}}{\partial t}$ is exactly our velocity vector $\mathbf{V}(l,t)$! This represents how fast each point on the curve is moving.
Step 5: Substitute back into our integral $$\frac{dI}{dt} = \int_0^L \left[\frac{\partial f}{\partial t} + \nabla f \cdot \mathbf{V}(l,t)\right] dl$$
Step 6: Interpret each term
- $\frac{\partial f}{\partial t}$: How fast $f$ is changing at each fixed location
- $\nabla f \cdot \mathbf{V}$: How much $f$ changes as we move with the curve (directional derivative in the direction of motion)
The Answer:
The time derivative of an integral along a moving curve is: $$\boxed{\frac{d}{dt}\int_{\text{curve}} f(\mathbf{x},t) \, dl = \int_{\text{curve}} \left[\frac{\partial f}{\partial t} + \nabla f \cdot \mathbf{V}\right] dl}$$This elegant result shows that the rate of change equals the integral of:
- 1. The local time rate of change of $f$, plus
- 2. The convective rate of change due to the curve's motion
Memory Tip:
Think of it like this: You're walking along a moving sidewalk while carrying a thermometer. The temperature reading changes for two reasons - the weather itself is changing (โf/โt), AND you're moving to different locations (โfยทV). The total rate of change is the sum of both effects!This is the same principle behind many physics equations, like the material derivative in fluid mechanics. Once you see this pattern, you'll recognize it everywhere in advanced mathematics and physics!
โ ๏ธ Common Mistakes to Avoid
- Mishandling partial derivatives
- Incorrectly tracking curve velocity
- Overlooking geometric terms like curvature
This explanation was generated by AI. While we work hard to be accurate, mistakes can happen! Always double-check important answers with your teacher or textbook.

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๐ท Problem detected:
Solve: 2x + 5 = 13
Step 1:
Subtract 5 from both sides...
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