What Is the Correct Sign for the Quadratic Form in Margenau's Proof?

In summary: Therefore the Schwarz inequality is also called the Cauchy-Schwarz inequality.In summary, the conversation discusses the Schwarz inequality in Margenau and Murphy and how the sign in the usual "quadratic form" solution may be incorrect. The proof of the inequality for complex numbers in N dimensions is also briefly discussed. Overall, the conversation concludes that there may be a small error in the book and the proof of the inequality may not be intuitively obvious.
  • #1
fsonnichsen
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From Margenau and Murphy--quadratic form use not clear
Looking at the proof of the Schwarz inequality in Margenau and Murphy, you will see what I attached. Gamma is asserted to be positive (OK). Given that the usual "quadratic form" solution would read "-(B+B*) .....". The sign does not seem correct to me as shown. In a fact B+B* = 2Re(B) and would be positive in this case given the integrals shown.
What am I missing here?

Thanks
Fritz
 

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I think you found an error in the book. However, the values of ##\lambda## don't play a role in the argument (only the sign of the expression under the square root does), so I would call it a small error.

##\ ##
 
  • #3
OK and thanks! The authors assumptions make sense but they must be evaluated carefully so I thought I may have missed something 49 years ago when I read the book the 1st time-it was quite a famous book back then.

I find the Cauchy-Schwarz ineq. for complex numbers in N dimensions somewhat tricky-the proof is not intuitively obvious to me upon brief examination.

Take care
Fritz
 
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Writing
$$\langle f|g \rangle=\int_{\mathbb{R}} \mathrm{d} x f^*(x) g(x),$$
you have from positive definiteness of the scalar product in ##L^2##
$$\langle f+\lambda g|f+\lambda g \rangle \geq 0,$$
and thus for all ##\lambda \in \mathbb{C}##
$$\langle f|f \rangle + \lambda^* \langle g|f \rangle+\lambda \langle f|g \rangle + |\lambda|^2 \langle g|g \rangle \geq 0.$$
Now set ##\lambda=-\langle g|f \rangle/\langle g|g \rangle,##
where we assume that ##g \neq 0## (otherwise the Schwarz inequality holds with the equality sign anyway). With this ##\lambda## the inequality reads
$$\langle f|f \rangle-\frac{|\langle f|g \rangle|^2}{\langle{g} | g\rangle} \geq 0.$$
This obviously is equivalent to
$$|\langle f|g \rangle| \leq \|f \| \|g \|, \quad \text{where} \quad \|f \|=\sqrt{\langle f|f \rangle}.$$
Further, due to the positive definiteness the equality sign holds if and only if there's a ##\lambda## such that ##|f \rangle+\lambda g \rangle=0##, i.e., if ##f \rangle## and ##|g \rangle## are linearly dependent.
 
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FAQ: What Is the Correct Sign for the Quadratic Form in Margenau's Proof?

What is Margenau's proof in relation to quadratic forms?

Margenau's proof refers to a mathematical argument concerning the properties of quadratic forms, particularly in the context of physics and engineering. It explores how these forms can be manipulated and interpreted, often addressing the conditions under which they remain positive or negative definite.

Why is the sign of the quadratic form important?

The sign of the quadratic form is crucial because it determines the nature of the solutions to the associated equations. A positive definite quadratic form indicates that all eigenvalues are positive, leading to stable solutions, while a negative definite form suggests instability. Understanding the correct sign helps in analyzing physical systems and ensuring accurate modeling.

How do you determine the correct sign for the quadratic form?

To determine the correct sign for the quadratic form, one typically examines the coefficients of the terms involved and the context of the problem. This may involve analyzing the matrix associated with the quadratic form, checking its eigenvalues, or using criteria such as Sylvester's criterion for definiteness.

What are common mistakes made in applying Margenau's proof?

Common mistakes include misinterpreting the conditions for definiteness, incorrectly applying theorems related to quadratic forms, and neglecting the physical context that may dictate the appropriate sign. Additionally, failing to verify the properties of the associated matrix can lead to errors in determining the correct sign.

Can the sign of the quadratic form change under certain transformations?

Yes, the sign of the quadratic form can change under certain transformations, such as coordinate changes or linear transformations that affect the orientation of the space. It is essential to analyze how these transformations impact the properties of the quadratic form to maintain consistency in interpretations.

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