How Do You Determine Constants A, B, and C in the Function f(x, y, z)?

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Discussion Overview

The discussion revolves around determining the constants A, B, and C in the function f(x, y, z) = Axy² + Byz + Cx³z², given specific conditions at the point (1, 2, -1) regarding the maximum pointed derivative and its value.

Discussion Character

  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant states that since the function is differentiable, the maximum pointed derivative can be expressed as 32 = (0, 0, 1) * grad f, leading to the equation B - C = 16.
  • Another participant emphasizes that the gradient must be parallel to the direction of the maximal pointed derivative, suggesting that this provides three equations corresponding to each component of the gradient.
  • A later reply confirms the use of the gradient notation and expresses curiosity about the formula used.

Areas of Agreement / Disagreement

Participants appear to agree on the necessity of using the gradient to derive equations for the constants A, B, and C, but the method for obtaining all necessary equations remains unclear and unresolved.

Contextual Notes

There is uncertainty regarding how to fully utilize the given data about the maximum pointed derivative to derive additional equations needed to solve for A, B, and C.

ori
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the question
f(x,y,z)=Axy^2+Byz+Cx^3*z^2
given data: at point(1,2,-1) the maximum pointed devertive of f is
at direcation
x=0 y=0 z=1
and its value is 32
so what are they A,B ,C?

the only thing i know that since the func is differncial
32=(0,0,1)*grad f
and from here we get
B-C=16

but how do we get 2 more equation?
i don't know how to use the data that this is the max pointed devertive
 
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Remember that the gradient must be parallell to the direction of maximal "pointed" derivative!
The gradient is therefore:
[tex]\nabla{f}=(0,0,32)[/tex]
Hence, you get 3 equations with 3 unknowns, one equation for each component.
 
arildno said:
Remember that the gradient must be parallell to the direction of maximal "pointed" derivative!
The gradient is therefore:
[tex]\nabla{f}=(0,0,32)[/tex]
Hence, you get 3 equations with 3 unknowns, one equation for each component.
thank u
how did u do the formula? (with the grad symbol)
 
He used \nabla in a "tex" formula.

Click on any "tex" formula and you will see the code used.
 

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