General question on multivariate calculus

In summary: If it is for all (u,v,w), then df/dt = 0 for all t. However, if it is just for all t, then df/dt = 0 does not necessarily imply that df/du = 0 or df/dv = 0 or df/dw = 0.In summary, the question asks whether f(u,v,w) = 0 implies df/dt = 0 or df/du = 0 or both, with the provided equations and explanations. It is important to clarify whether the function is equal to 0 for all (u,v,w) or just for all t, as this affects the resulting derivatives.
  • #1
Phyman1109
14
0
Just started multivariate course, can't figure out this simple question. If f(u,v,w) is a function of 3 variables. And u, v and w are themselves function of t. Then does f(u,v,w)=0 implies df/dt=0 or df/du=0. or both.
 
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  • #2
df/dt = 0, the partials with respect to u, v, w may not be.
df/dt = (∂f/∂u)du/dt + (∂f/∂v)dv/dt + (∂f/∂w)dw/dt.
 
  • #3
If, as you wrote, F(x, y, z)= 0 for all x, y, and z, it is constant no matter how x, y, and z are changed and all partial derivatives are 0. With x, y, and z functions of t, no matter how t changes, that simply results in x, y, and z changing so F remains constant. dF/dt= 0.

(This is NOT the question mathman answered. He appears to be thinking you were asking about the derivative being 0, not "f(u,v,w)=0".

As long as F(x, y, z) has continuous partial derivtives, and x, y, and z are differentiable functions of t,
[tex]\frac{dF}{dt}= \frac{\partial F}{\partial x}\frac{dx}{dt}+ \frac{\partial F}{\partial y}\frac{dy}{dt}+ \frac{\partial F}{\partial z}\frac{dz}{dt}[/tex]
so that if all partial derivatives of F, with respect to x, y, and z, the dF/dt= 0 for any parameter, t. But if dF/dt= 0 for some t, it does NOT follow that the partial derivatives are 0.)
 
  • #4
There seems to be some ambiguity in the question... is f(u,v,w) = 0 for all (u,v,w) or just for all t?
 

Related to General question on multivariate calculus

1. What is multivariate calculus?

Multivariate calculus is a branch of mathematics that deals with the study of functions of several variables. It involves the application of differential and integral calculus to functions with multiple independent variables.

2. What are some real-life applications of multivariate calculus?

Multivariate calculus has many practical applications, including in physics, engineering, economics, and statistics. Some specific examples include calculating the trajectory of a projectile, optimizing the design of a bridge, analyzing economic models, and determining the probability distribution of a random variable.

3. How is multivariate calculus different from single variable calculus?

In single variable calculus, functions have only one independent variable, while in multivariate calculus, functions have multiple independent variables. This means that in multivariate calculus, we must consider the effects of changes in multiple variables on the function, whereas in single variable calculus, we only consider the effect of changes in one variable at a time.

4. What are the key concepts in multivariate calculus?

Some key concepts in multivariate calculus include partial derivatives, multiple integrals, gradients, and optimization. These concepts are used to analyze and solve problems involving functions with multiple variables.

5. What are some resources for learning multivariate calculus?

There are many books, online courses, and instructional videos available for learning multivariate calculus. Some popular resources include "Calculus: Early Transcendentals" by James Stewart, the Khan Academy multivariate calculus course, and MIT's OpenCourseWare lectures on multivariate calculus.

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