How Does Quadratic Approximation Determine Local Max/Min?

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SUMMARY

The discussion centers on the application of quadratic approximation to determine local maxima and minima in multivariable functions. Participants emphasize the importance of using second derivatives, specifically the Hessian matrix, to analyze critical points in functions of two or more variables. The conversation highlights the necessity of visualizing these functions as 3-D surfaces to identify bumps, which correspond to local extrema. Additionally, the method of completing the square is referenced as a foundational technique for understanding the vertex of a parabola, which parallels the analysis of multivariable functions.

PREREQUISITES
  • Understanding of quadratic functions and their properties
  • Knowledge of derivatives, including first and second derivatives
  • Familiarity with multivariable calculus concepts
  • Ability to interpret 3-D plots of functions
NEXT STEPS
  • Study the Hessian matrix and its role in determining local extrema
  • Learn about critical points in multivariable calculus
  • Explore the method of completing the square for quadratic functions
  • Investigate visualizing functions in three dimensions using graphing tools
USEFUL FOR

Students and professionals in mathematics, particularly those studying calculus and optimization techniques in multivariable functions.

Chadlee88
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hey can som1 please help, i know how to find the quadratic approximation for a given function but i don't know how the quadratic approximation determines a local max/min :confused: This is with regard to multivariable functions. thanks
 
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If you have a quadratic function of one variable, how do you find any maxima and minima of that function? How do you determine if any points you find are maxima or minima? How are derivatives involved?

Now for multivariable functions, you do much the same thing. But what special kind of derivative do you need to use when dealing with multivariable equations? Do you need to do anything special when finding local maxima and minima of multivariable equations?

Hint -- when thinking about multivariable functions, I like to think of a 3-D plot of a function z = f(x,y). Picture a 3-D surface running through the x-y-z cube. Then think about when there are bumps and such in that surface -- how do you find where they are?
 
Last edited:
It might help to recall that a graph of a quadratic function is a parabola.

Do you remember completing the square to find the vertex of a parabola?
 

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