Proof of Minkowski Inequality using Cauchy Shwarz

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SUMMARY

The discussion focuses on the proof of the Minkowski Inequality utilizing the Cauchy-Schwarz inequality. The key step involves expanding the term ||\vec{x} + \vec{y}||^2 using the inner product defined in the inner product space, specifically expressed as (\vec{x}+ \vec{y}, \vec{x}+ \vec{y}). By expanding this inner product and applying the Cauchy-Schwarz inequality, the proof is successfully completed. This method eliminates the need for square roots, simplifying the process of proving the Minkowski Inequality.

PREREQUISITES
  • Understanding of inner product spaces
  • Familiarity with the Cauchy-Schwarz inequality
  • Knowledge of vector norms and their properties
  • Basic proficiency in mathematical proofs
NEXT STEPS
  • Study the properties of inner product spaces in detail
  • Learn advanced applications of the Cauchy-Schwarz inequality
  • Explore the implications of the Minkowski Inequality in functional analysis
  • Investigate other inequalities related to norms and inner products
USEFUL FOR

Mathematicians, students studying functional analysis, and anyone interested in the applications of inequalities in vector spaces will benefit from this discussion.

barksdalemc
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I tried to expand the [SUM{[X sub k + Y sub k]^2}]^1/2 term but I am stuck there.
 
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Okay, first hint

[tex]|| \vec{x} + \vec{y}||^2 = ( \vec{x}+ \vec{y}, \vec{x}+ \vec{y} )[/tex]

Where [tex](\cdot, \cdot)[/tex] is the inner product on your inner product space. So you should not have any square roots to worry about. Expand the inner product, then use the Cauchy-Swartz inequality.
 
Last edited:
Got it thanks. Worked out.
 

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