What Is the Correct Form of the Cauchy-Schwarz Inequality?

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Discussion Overview

The discussion revolves around the correct formulation of the Cauchy-Schwarz inequality for n-dimensional vectors, exploring its definitions, implications, and related inequalities. Participants also discuss the conditions under which equality holds and the nature of the scalar involved.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that the Cauchy-Schwarz inequality is given by the expression |\mathbf{v}_1.\mathbf{v}_2|\leq\|\mathbf{v}_1\|\|\mathbf{v}_2\|, while others argue that the second expression presented is actually the triangle inequality.
  • There is a suggestion that equality in the Cauchy-Schwarz inequality holds when one vector is a scalar multiple of the other, with some participants stating that 'a' can be any positive real number.
  • A later reply questions whether 'a' could be any scalar in the context of inner product spaces, suggesting a broader applicability of the inequality.
  • Some participants clarify that the second inequality mentioned is indeed the triangle inequality and highlight the need for precision in mathematical expressions.
  • One participant notes that Cauchy proved the inequality for complex vector spaces, while Schwarz proved it for polynomial spaces, indicating a historical context for the inequality's development.

Areas of Agreement / Disagreement

Participants generally disagree on the formulation of the Cauchy-Schwarz inequality and the nature of the scalar 'a'. Multiple competing views remain regarding the correct interpretation and application of the inequalities discussed.

Contextual Notes

There are unresolved questions regarding the definitions and conditions under which the inequalities hold, particularly concerning the nature of the scalar 'a' and its applicability across different mathematical contexts.

EngWiPy
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Hello,

For two n-dimensional vectors \mathbf{v}_1\text{ and }\mathbf{v}_2, what is the Cauchy-Schwarz Inequality:

1- |\mathbf{v}_1.\mathbf{v}_2|\leq\|\mathbf{v}_1\|\|\mathbf{v}_2\|, or

2- |\mathbf{v}_1.\mathbf{v}_2|\leq\|\mathbf{v}_1\|+\|\mathbf{v}_2\|

In either case, the equality holds when \mathbf{v}_1=a\,\mathbf{v}_2, where a is a positive real constant. Is there any specific way to compute a, or just pick an arbitrary positive real number?

Regards
 
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I don't believe you can calculate 'a' from the inequality. You would need another route to get it.
 
Your second inequality is the "triangle inequality." The Cauchy-Schwarz inequality is | \langle \mathbf{A},\mathbf{B} \rangle | \leq \|{\mathbf{A}}\| \, \|{\mathbf{B}} \|
 
the equality holds when v1=av2 for any scalar a.
 
The first is the CS inequality.BTW the second inequality has an error (dot instead or plus). It should read :

|\mathbf{v}_1 + \mathbf{v}_2|\leq\|\mathbf{v}_1\|+\|\mathbf{v}_2\|

In which case it's the triangle inequality.
 
So, can we write:

|\mathbf{w}^H\,\mathbf{h}|^2\leq\|\mathbf{w}\|^2\,\|\mathbf{h}\|^2?
 
S_David said:
Hello,

For two n-dimensional vectors \mathbf{v}_1\text{ and }\mathbf{v}_2, what is the Cauchy-Schwarz Inequality:

1- |\mathbf{v}_1.\mathbf{v}_2|\leq\|\mathbf{v}_1\|\|\mathbf{v}_2\|, or

2- |\mathbf{v}_1.\mathbf{v}_2|\leq\|\mathbf{v}_1\|+\|\mathbf{v}_2\|

In either case, the equality holds when \mathbf{v}_1=a\,\mathbf{v}_2, where a is a positive real constant. Is there any specific way to compute a, or just pick an arbitrary positive real number?

Regards
What they are saying is that equality holds if an only if one vector is a multiple of the other. a could be any real number. It is not a matter of calculating a or a picking a.
 
Ok, thank you all guys.
 
HallsofIvy said:
What they are saying is that equality holds if an only if one vector is a multiple of the other. a could be any real number.

Could we say, more generally, that a could be any scalar (so that this would hold for any inner product space, over any field)?
 
  • #10
Rasalhague said:
Could we say, more generally, that a could be any scalar (so that this would hold for any inner product space, over any field)?

As far as I know, Cauchy proved the inequality for complex vector spaces and Schwarz proved it for polynomial space. In my general linear algebra text, it is proven for real/complex vector spaces. It is a special case of a http://planetmath.org/encyclopedia/CauchySchwartzInequality.html .
 
Last edited by a moderator:
  • #11
Rasalhague said:
Could we say, more generally, that a could be any scalar (so that this would hold for any inner product space, over any field)?
Over any ordered field, yes. That is necessary in order that we be able to say "\le".
 

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