Proving grad operator yields perpendicular vector to contour

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SUMMARY

The discussion centers on the proof that the gradient operator yields a perpendicular vector to a contour defined by a constant value of a multivariable function f(x, y, z). The key takeaway is that if f(x(t), y(t), z(t)) = c, then the derivative with respect to time, dg/dt, equals zero, confirming that the path remains on the surface defined by the constant c. This relationship is established through the chain rule and the definition of the function g(t) as f(x(t), y(t), z(t)).

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  • Understanding of multivariable calculus concepts, particularly the gradient operator.
  • Familiarity with the chain rule in calculus.
  • Knowledge of partial derivatives and their applications.
  • Basic understanding of vector functions and surfaces in three-dimensional space.
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  • Study the properties of the gradient operator in multivariable calculus.
  • Learn about the chain rule and its applications in differentiating composite functions.
  • Explore the concept of level surfaces and their geometric interpretations.
  • Investigate directional derivatives and their relationship with the gradient vector.
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Students and professionals in mathematics, physics, and engineering who are studying multivariable calculus and need to understand the geometric implications of the gradient operator and contour surfaces.

henry wang
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I saw a link on MIT open courseware proving grad operator yields perpendicular vector to contour, but I can't make sense of how dg/dt=0.
Can someone explain to me please.
http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/2.-partial-derivatives/part-b-chain-rule-gradient-and-directional-derivatives/session-36-proof/MIT18_02SC_notes_19.pdf
 
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henry wang said:
I saw a link on MIT open courseware proving grad operator yields perpendicular vector to contour, but I can't make sense of how dg/dt=0.
Can someone explain to me please.
http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/2.-partial-derivatives/part-b-chain-rule-gradient-and-directional-derivatives/session-36-proof/MIT18_02SC_notes_19.pdf

If you have a function f(x,y,z), and you have a constant c, then the set of points satisfying f(x,y,z) = c is a two-dimensional surface. So now we let \vec{r}(t) be any path that stays on that surface. In terms of components, if we write \vec{r}(t) = (x(t), y(t), z(t)), then to say that \vec{r}(t) stays on the surface f(x,y,z)=c just means that for all t, we have:

f(x(t), y(t), z(t)) = c

So far, this is just true by assumption. We're assuming that x(t), y(t), z(t) are three functions such that f(x(t), y(t), z(t)) = c.

Since f(x(t), y(t), z(t)) = c, then it immediately follows that:

\frac{d}{dt} f(x(t), y(t), z(t)) = \frac{dc}{dt} = 0

All they're doing is defining f(x(t), y(t), z(t)) = g(t). That's just the definition of g. So it immediately follows that \frac{d}{dt} g(t) = 0.
 
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stevendaryl said:
If you have a function f(x,y,z), and you have a constant c, then the set of points satisfying f(x,y,z) = c is a two-dimensional surface. So now we let \vec{r}(t) be any path that stays on that surface. In terms of components, if we write \vec{r}(t) = (x(t), y(t), z(t)), then to say that \vec{r}(t) stays on the surface f(x,y,z)=c just means that for all t, we have:

f(x(t), y(t), z(t)) = c

So far, this is just true by assumption. We're assuming that x(t), y(t), z(t) are three functions such that f(x(t), y(t), z(t)) = c.

Since f(x(t), y(t), z(t)) = c, then it immediately follows that:

\frac{d}{dt} f(x(t), y(t), z(t)) = \frac{dc}{dt} = 0

All they're doing is defining f(x(t), y(t), z(t)) = g(t). That's just the definition of g. So it immediately follows that \frac{d}{dt} g(t) = 0.
Thank you very much, that make a lot of sense, I understand now!
 

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