Maximise this quadaratic form, subject to these constraints.

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SUMMARY

The discussion focuses on maximizing the expression \( a_1 a_2 + a_2 a_3 + \ldots + a_n a_1 \) under the constraints \( a_1 + a_2 + \ldots + a_n = 0 \) and \( a_1^2 + a_2^2 + \ldots + a_n^2 = 1 \). Participants suggest using quadratic programming techniques to reformulate the problem, emphasizing the need to express it in a suitable linear or quadratic programming framework. The challenge lies in applying these mathematical concepts effectively, particularly for those unfamiliar with quadratic programming.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically vector norms and inner products.
  • Familiarity with quadratic programming and its applications.
  • Knowledge of optimization techniques, particularly in the context of constrained maximization.
  • Basic proficiency in mathematical notation and expressions, including the use of matrices.
NEXT STEPS
  • Study quadratic programming methods and their applications in optimization problems.
  • Learn how to formulate optimization problems using matrix notation and constraints.
  • Explore linear programming techniques and their relationship to quadratic programming.
  • Practice solving constrained optimization problems using software tools like MATLAB or Python's SciPy library.
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Mathematicians, optimization specialists, and students studying linear algebra or operations research will benefit from this discussion, particularly those looking to deepen their understanding of quadratic programming and constrained optimization techniques.

Phillips101
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Question:

Given a1+a2+a3+...+an=0 and a1^2+a2^2+...+an^2=1, (all real numbers)

find the maximal value of a1*a2+a2*a3+...+an*a1

Thoughts so far:

I've treated the expression as a combination of n variables and differentiated - when it came to putting the constraints in it got to be a hideous mess.

It is easily factorisable as 0.5*( (a1+a2)^2 + (a2+a3)^2 +...+ (an+a1)^2 ) -1, but then maximising the inside is just as hard.

Help would be appreciated! (Also, sorry about the lack of LATEX knowhow).
 
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You can write the original constraints as
<br /> \max \ \ a^T\begin{pmatrix} 0 &amp;1 &amp;\ldots &amp;\ldots 0\\ 0 &amp;0 &amp;1 &amp;\ldots 0\\ \vdots \\1 &amp;0 &amp;\ldots &amp;0\end{pmatrix}a<br />
subject to
<br /> \begin{pmatrix} a &amp;\mathbf{1} \end{pmatrix}^T a = \begin{pmatrix}1 \\0\end{pmatrix}<br />

and try to fit the problem to linear or quadratic programming frame
 
I know of linear programming, but I have no idea how to go about solving that using it unfortunately. And nor do I think I'm expected to know, this is a linear algebra question, which is the annoying thing...

And I'd never heard of or encountered quadratic programming before.
 

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