Saddle points of functions of n variables

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SUMMARY

The discussion clarifies the definition of saddle points in the context of functions of multiple variables. A saddle point is defined as a stationary point that is neither a local minimum nor a local maximum, with the distinction made between strict and non-strict extrema. The constant function f(x, y) = c is identified as having saddle points at every point in its domain under strict extrema, while it has none under non-strict extrema. Additionally, the function f(x, y) = x^2 has saddle points along the line x=0, confirming the understanding of saddle points as critical points that are not local non-strict extreme points.

PREREQUISITES
  • Understanding of critical points in multivariable calculus
  • Knowledge of strict and non-strict extrema definitions
  • Familiarity with stationary points in mathematical analysis
  • Basic concepts of functions of multiple variables
NEXT STEPS
  • Study the definitions and properties of strict and non-strict extrema in calculus
  • Learn about critical points and their classifications in multivariable functions
  • Explore saddle points in optimization problems and their implications
  • Review lecture notes or resources on multivariable calculus, such as the provided link to Oklahoma State University's materials
USEFUL FOR

Students and professionals in mathematics, particularly those studying multivariable calculus, optimization, and critical point analysis. This discussion is beneficial for anyone seeking to deepen their understanding of saddle points and their characteristics.

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Hi,

I need some clarification on exactly which critical points are saddle points. The definition I am finding everywhere is that "A saddle point is a stationary point that is neither a local minimum nor a local maximum." My question is: what kind of minimum and maximum is the above definition about? The strict or the non-strict kind?

In case that strict extrema are implied, then, for example, the constant function f(x, y) = c has a saddle point at each point of its domain, whereas in the case of non-strict extrema, the same function has no saddle points, because at every point it has both a local non-strict minimum and a local non-strict maximum. A similar ambiguity arises in the case of, for example, the function f(x, y) = x^2. Are all points that lie on the x = 0 line saddle points since they are non-strict extrema?

Thanks for reading :)
 
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As I understand it, a saddle point is a critical (stationary) point that is not a local (non-strict) extreme point.
So you are correct. In your first example, all points in your domain are saddle points. In your second example all points along the line x=0 are saddle points.
 
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Thanks :) After a bit more googling I found https://www.math.okstate.edu/~atovstolis/lecture_notes/LN14_7.pdf lecture notes where first a distinction is drawn between strict and non-strict extrema and then a saddle point is defined as you too understand it. So I guess my question is answered!
 

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