Proof of Minkowski Inequality using Cauchy Shwarz

In summary, the conversation discusses the Minkowski Inequality, a mathematical inequality that relates the p-norms of two vectors in Euclidean space. It is often used in conjunction with the Cauchy-Schwarz inequality to prove other inequalities and has many applications in mathematics and other fields. There are also several generalizations of the Minkowski Inequality, such as the Hölder's Inequality and the Triangle Inequality. These generalizations extend its concept to other spaces and functions.
  • #1
barksdalemc
55
0
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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  • #2
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.
 
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  • #3
Got it thanks. Worked out.
 

FAQ: Proof of Minkowski Inequality using Cauchy Shwarz

What is the Minkowski Inequality?

The Minkowski Inequality is a mathematical inequality that relates the p-norms of two vectors in Euclidean space. It states that for any two vectors a and b, the p-norm of their sum is less than or equal to the sum of their individual p-norms.

What is the Cauchy-Schwarz inequality?

The Cauchy-Schwarz inequality is a fundamental inequality in mathematics that states the absolute value of the inner product of two vectors is less than or equal to the product of their individual norms. It is often used to prove other inequalities, such as the Minkowski Inequality.

How is Cauchy-Schwarz used to prove the Minkowski Inequality?

The proof of the Minkowski Inequality using Cauchy-Schwarz involves using the Cauchy-Schwarz inequality to bound the sum of p-norms of two vectors, and then using mathematical operations to rearrange the terms to arrive at the desired inequality.

What are the applications of the Minkowski Inequality?

The Minkowski Inequality has many applications in mathematics and other fields such as physics and economics. It is commonly used in functional analysis to prove convergence of sequences, and in statistics to measure the distance between probability distributions.

Are there any generalizations of the Minkowski Inequality?

Yes, there are several generalizations of the Minkowski Inequality, such as the Hölder's Inequality and the Triangle Inequality. These generalizations extend the concept of the Minkowski Inequality to other spaces and functions, and are important tools in various areas of mathematics.

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