Multivariable Calculus, Partial Derivatives and Vectors

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SUMMARY

The discussion focuses on the concepts of multivariable calculus, specifically addressing partial derivatives and vector derivatives. It clarifies that the derivative represents the slope of the tangent line at a point on a graph, and the integral calculates the area under a curve. The conversation also distinguishes between taking the derivative of a vectorial function and a vector itself, using examples such as F(t)=(cos(t),sin(t)) and G(t)=(cos(2t),sin(2t)) to illustrate differences in velocity and direction. The derivatives F'(t) and G'(t) provide insights into the speed and direction of curves in space.

PREREQUISITES
  • Understanding of basic calculus concepts, including derivatives and integrals.
  • Familiarity with vector functions and their components.
  • Knowledge of trigonometric functions and their properties.
  • Ability to visualize geometric interpretations of calculus concepts.
NEXT STEPS
  • Explore the concept of vectorial functions in depth, focusing on their derivatives.
  • Study the geometric interpretations of derivatives and integrals in multivariable calculus.
  • Learn about parametric equations and their applications in describing curves.
  • Investigate the relationship between speed, direction, and derivatives in vector calculus.
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Students and educators in mathematics, particularly those studying multivariable calculus, as well as professionals in fields requiring a strong understanding of vector analysis and calculus applications.

V0ODO0CH1LD
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I just got to a point in multivariable calculus where I realize I can solve problems in assignments and tests but have no actual idea of what I'm doing. So I started thinking about stuff and came up with a few questions:

1. Is picturing the derivative as the slope of the tangent line to a point of the graph just a useful analogy? Like imagining the integral is the area under the curve?

2. What is the meaning of taking the derivative of a vector? I get that you can take the derivative of each component separately with respect to a parameter that they all depend on. But what does that mean?

3. How is taking the derivative of a vector that describes a curve in space related to taking the derivative (or partial derivatives) of an equation that describes the same curve?
 
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V0ODO0CH1LD said:
1. Is picturing the derivative as the slope of the tangent line to a point of the graph just a useful analogy? Like imagining the integral is the area under the curve?

It's not just a useful analogy, it's exactly what the derivative is and what it was invented for. Likewise, the integral was precisely invented to find the area under a curve. So these things are more than just analogies

2. What is the meaning of taking the derivative of a vector? I get that you can take the derivative of each component separately with respect to a parameter that they all depend on. But what does that mean?

They don't take the derivative of a vector, they take the derivative of a vectorial function. There's a difference. But anyway, take the function

F(t)=(\cos(t),\sin(t))

This describes a circle. But

G(t)=(\cos(2t),\sin(2t))

also describes a circle. What's the difference between those two circles?? Well, the difference is that G goes twice as fast. For example, if we start at t=0, then both F and G are at (1,0). But at t=\frac{\pi}{2}, the curve F is at (0,1) and traveled the quarter of the circle. However, G is already at (-1,0) and traveled half of the circle. So G is much faster than F. So the velocity of G is greater.
This velocity is measured by the derivative. In particular, given F=(x(t),y(t)), the derivative is F^\prime(t)=(x^\prime(t),y^\prime(t)). So at any point t, we got a vector (x^\prime(t),y^\prime(t)). The direction of this vector tells us which way the curve is headed. The length of the vector is the speed of the curve.

For example, with our circle. The derivative of F is

F^\prime(t)=(-\sin(t),\cos(t))

At t=0, we get (0,1). So we can see that at t=0, the vector is going in the vertical direction with speed 1.

But the derivative of G is

G^\prime(t)=(-2\sin(2t),2\cos(2t))

and at t=0, we get (0,2). So at t=0, the vector is again going in the vertical direction, but with speed 2. So it is indeed going twice as fast, as expected.

A more geometrical interpretation of F^\prime(t)=(x^\prime(t),y^\prime(t)) is that F^\prime(t) is the direction of the tangent line of F at t. For example, the derivative of F (the circle) at t=0 is (0,1). So the tangent line of F at t=0 is parallel to the
y-axis.
 

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