When does the Cauchy-Schwartz inequality hold?

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SUMMARY

The Cauchy-Schwartz inequality states that for any vectors \( \mathbf{u} \) and \( \mathbf{v} \), the relationship \( |\langle \mathbf{u}, \mathbf{v} \rangle| \leq \|\mathbf{u}\| \|\mathbf{v}\| \) holds true. In the context of proving the inequality \( (a_1 + ... + a_n)^2 \leq n(a_1^2 + ... + a_n^2) \), equality occurs when the vectors are linearly dependent. The discussion emphasizes the use of the dot product as the standard inner product and suggests that setting \( \mathbf{u} = \mathbf{v} \) simplifies the proof process. Additionally, squaring both sides of the inequalities is recommended for clarity.

PREREQUISITES
  • Understanding of the Cauchy-Schwartz inequality
  • Familiarity with inner product spaces
  • Knowledge of vector norms
  • Basic algebraic manipulation skills
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  • Study the properties of inner products in vector spaces
  • Learn about linear dependence and its implications in inequalities
  • Explore the applications of the Cauchy-Schwartz inequality in various mathematical proofs
  • Investigate the relationship between norms and inner products in detail
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Mathematicians, students studying linear algebra, and anyone interested in understanding inequalities and their proofs in vector spaces.

Benny
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Hi, I need to use the Cauchy-Schwartz inequality to prove the following inequality.

<br /> \left( {a_1 + ... + a_n } \right)^2 \le n\left( {a_1 ^2 + ... + a_n ^2 } \right),\forall a_i \in R<br />

When does equality hold?

The Cauchy-Schwartz inequality is \left| {\left\langle {\mathop u\limits^ \to ,\mathop v\limits^ \to } \right\rangle } \right| \le \left\| {\mathop u\limits^ \to } \right\|\left\| {\mathop v\limits^ \to } \right\|.

The Cauchy-Schwartz inequality holds for all inner products. Since the dot product is the only 'standard' inner product then the dot product is probably going to be needed here which hopefully means that the calculations won't be too involved.

At the moment I'm lost for ideas. Seeing the n on the RHS suggests that the two vectors have components which are multiples of n and reciprocals of n. Also, seeing that only a_i appears on both sides of the equation. I think I can take u = v in the Cauchy Schwartz inequality. So I'm dealing with a single vector. I can't think of a way to start this. Does anyone have any suggestions? Any help would be great thanks.
 
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Yes, think about the standard inner product, and find a specific vector u such that the thing you're trying to prove is just a statement of the Cauchy-Schwartz inequality for that specific vector u. For an analogy, what you're trying to prove is analogous to proving |5 + y| < |5| + |y| given the triangle inequality |x + y| < |x| + |y|. Once you see how your inequality is related to the Cauchy-Schwartz inequality, you will be able to determine when equality holds in your inequality from when it holds in the C-S inequality.

Hint, square root both sides of your inequality (or square both sides of the C-S inequality) and recall the definitions of the standard norm and the standard inner product.
 
Thanks, I'll have a think about it.
 

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