Question about Lagrange multipliers

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Discussion Overview

The discussion revolves around the application of Lagrange multipliers in finding stationary values of a function under a constraint. Participants explore the nuances of the proof related to minimizing a quadratic form while adhering to a specific condition.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions the formulation of the Lagrangian, suggesting it should include a term that accounts for the auxiliary condition more explicitly.
  • Another participant notes that adding a constant to the Lagrangian does not affect the equations derived from the variation, raising a point about the treatment of constants in this context.
  • There is a discussion about the implications of different constant values in the constraint, with one participant expressing confusion about the necessity of the specific condition versus a more general one.
  • A participant emphasizes that neglecting constants is not appropriate when defining critical points on a manifold.
  • Some participants express their understanding of Lagrange multipliers and their ability to solve the problem independently, despite the initial confusion over the proof.
  • There is a mention of the possibility of redefining the multiplier, which leads to a discussion about the implications of setting the multiplier to zero.
  • Ultimately, one participant concludes that they resolved their initial confusion, suggesting that the formal procedure aligns with the author's approach.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the proof and the application of Lagrange multipliers. While some agree on the mechanics of the method, others remain uncertain about specific aspects of the argument, indicating that multiple competing views exist.

Contextual Notes

Some participants highlight the potential for confusion stemming from the terminology used in the proof and the treatment of constants in the context of Lagrange multipliers. There is also an acknowledgment of the need for clarity regarding the conditions imposed by the constraints.

dRic2
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I'm having some trouble understanding the following proof (##a_{ik}## and ##b_{ik}## are constants)

Our problem is to find the stationary value of ##a_{ik}q_iq_k## under the auxiliary condition the we move on the surface ##b_{ik}q_iq_j = 1##.

We drop the auxiliary condition and minimize ##a_{ik}q_iq_k - \frac 1 {\lambda} b_{ik}q_iq_k##.

Shouldn't it be ##a_{ik}q_iq_k - \frac 1 {\lambda} (b_{ik}q_iq_k-1)## ?

(Summation convention is used)

Thanks Ric
 
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One thing I don't understand is Lagrange multipliers. However, one thing I do follow is that adding a constant to a Lagrangian doesn't change the equations obtained by the variation. Isn't the term you've added, ##-\frac{1}{\lambda}##, held constant in the variation?
 
Yes I see you point and in fact I am a bit puzzled myself, but then what would be the difference between the condition ##b_{ik}q_iq_k = 1## and some other condition ##b_{ik}q_iq_k = c## or even ##b_{ik}q_iq_k = 0## since I can always neglect the constant term ?
 
You can not neglect constant. Loosely speaking, you have a condition ##g(x)=c## and your task is to find a critical point of a function ##f=f(x)## on the manifold ##\{x\in\mathbb{R}^m\mid g(x)=c\}##. To do that you must solve the following system
$$g(x)=c,\quad \frac{\partial f}{\partial x^i}=\lambda \frac{\partial g}{\partial x^i},\quad i=1,\ldots,m$$
you have m+1 equations and m+1 unknowns: ##\lambda,x^1,\ldots,x^m##
 
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I know, that's why I'm asking. I don't understand the argument given in that proof. I have to specify that I do not need to evaluate the minimum of that function, but the values of ##q_i## such that the function has minimum, maybe in that sense the constant can be neglected... I don't know
 
Why do not you take a regular textbook in analysis? V. Zorich Mathematical Analysis for example
 
Maybe I was not expressing myself very well. I was reading a book. The book is not about math nor about Lagrange multipliers, it is about classical mechanics. While reading the book I ran into the argument posted in the first post which I don't understand.

PS: maybe the confusing part is the word "proof". I didn't mean that the proof is about Lagrange multipliers. The first line should read "I'm having some trouble understanding the following statement"
 
I also do not understand that argument and I don't care because I understand what Lagrange multipliers are and I can solve the problem independently on that book.
 
Last edited:
wrobel said:
I can solve the problem independently on that book.
Ok, so let's try to solve it. Do you agree with me that if ##x_i = q_i##, ##f(x_i) = a_{ik}q_iq_k##, ##g(x_i) = b_{ik}q_iq_k## and ##c = 1## then the system becomes:
$$b_{ik}q_i = \lambda a_{ik} q_i$$
plus the condition ##b_{ik}q_i q_k = 1##. (Note that I used ##\frac 1 {\lambda}## as a multiplier to stick to the convention introduced by the author of the book)
 
  • #10
dRic2 said:
Note that I used 1λ\frac 1 {\lambda} as a multiplier to stick to the convention introduced by the author of the book)
it is not a matter of convention, ##\lambda## must be situated as I said
 
  • #11
You can always define a new variable ##\lambda' = \frac 1 {\lambda}## any get the same result
 
  • #12
dRic2 said:
You can always define a new variable λ′=1λ\lambda' = \frac 1 {\lambda} any get the same result
what about ##\lambda=0##? :)
 
  • #13
Ok you are right.

But in the end I solved my problem. In this particular case the formal procedure and the one used by the author are the same, he probably used this "trick" to get a faster result.
 

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