Find the extreme values of the polynomial function

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Homework Help Overview

The problem involves finding the extreme values and their nature of the polynomial function \( f(\vec{x})=x_1x_2+x_1^2+x_2^2+x_3^3+x_4^4 \). The original poster identifies a critical point at \( a=(0,0,0,0) \) and discusses the Hessian matrix, noting that the determinant is zero, leading to an inconclusive test for determining the nature of the critical point.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • The original poster attempts to analyze the Hessian matrix and explore the implications of the critical point. They also consider alternative forms of the function and the challenges posed by the term \( h_3^3 \). Some participants question the clarity of the problem statement and the relevance of examining the extremal values of \( x_3 \). Others suggest that varying \( x_3 \) could provide insights into the behavior of the function.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of the problem and questioning the implications of the Hessian test. Some guidance has been offered regarding the significance of the term \( x_3^3 \) in the function, but there is no explicit consensus on how to proceed with the analysis.

Contextual Notes

Participants note the complexity of analyzing a polynomial function in four dimensions and the limitations of graphical interpretation. The inconclusiveness of the Hessian matrix and the presence of an odd-powered term are highlighted as key points of discussion.

lep11
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Homework Statement


The task is to find the extreme values (and their nature) of the polynomial function . $$f(\vec{x})=x_1x_2+x_1^2+x_2^2+x_3^3+x_4^4.$$

The Attempt at a Solution


The critical point is ##a=(0,0,0,0)##, which is the solution to ##\nabla{f(a)}=0.## If we form the Hessian matrix $$H_f=\begin{bmatrix}
2& 1 & 0 & 0 \\
1& 2 & 0 & 0 \\
0 & 0 & 0 &0 \\
0 & 0 & 0 & 0 \\
\end{bmatrix}$$ ,it's easy to see that ##det(H_f)=0##, thus the product of the eigenvalues is zero. This test is inconclusive.

How would one determine the extreme values of ##f## in this case? What is the general approach?

I have also tried

## f(\vec{h})=(h_1+\frac{h_2}{2})^2+(h_4^2)^2+h_3^3,##where the term ##h_3^3##
is giving trouble. I cannot factor ##f## such that ##f(\vec{h})=(\alpha_1(\vec{h}))^2+...+(\alpha_k(\vec{h}))^2-(\alpha_{k+1}(\vec{h}))^2-...-(\alpha_{k+l}(\vec{h}))^2,## where ##\alpha_i## are linearly independent linear functions.

Graphical interpretation is not an option either, since we are in ##\mathbb{R^4}.##In addition I have tried different values of ##x_1,...,x_4## to try to determine if ##a## is min/max point at all without success.
 
Last edited:
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Maybe I don't understand the question, but what would be the extremal values of x3?
 
haruspex said:
Maybe I don't understand the question, but what would be the extremal values of x3?
Is there something unclear or is the question badly-worded? We are interested in the max/min values of the given function. Since the gradient is zero at (0,0,0,0), something could be happening at that point (local maxima,minima, saddle point). However, the hessian eigenvalues test is inconclusive. I feel like I don't have the tools. Maybe one could determine and show algebrally, but then the right values are needed. So, how would one proceed? How would it help to examine the extremal values of ##x^3##?
 
Last edited:
lep11 said:
How would it help to examine the extremal values of x3?
Because you have the term x33, and no other references to x3. So for any given values of the other terms, you can vary x3 freely and see how it affects the result. It is the only such term with an odd power, which makes it rather interesting.
 
haruspex said:
Because you have the term x33, and no other references to x3. So for any given values of the other terms, you can vary x3 freely and see how it affects the result. It is the only such term with an odd power, which makes it rather interesting.
##f(0,0,\frac{1}{n},0)=\frac{1}{n^3}>0## and ##f(0,0,-\frac{1}{n},0)=-\frac{1}{n^3}<0## for all naturals ##n##. Thus ##a## must be saddle point. Correct?
 
lep11 said:
##f(0,0,\frac{1}{n},0)=\frac{1}{n^3}>0## and ##f(0,0,-\frac{1}{n},0)=-\frac{1}{n^3}<0## for all n. Thus ##a## must be saddle point.
Right.
 

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