Prove Minkowski's inequality using Cauchy-Schwarz's

In summary, Minkowski's inequality is a mathematical inequality that relates the norms of two vectors and their inner product. It can be used to measure the distance between two vectors in a vector space. Cauchy-Schwarz's inequality is another mathematical inequality that relates the inner product of two vectors and their norms. It is often used to prove Minkowski's inequality. By using Cauchy-Schwarz's inequality, we can show that the inner product of two vectors is always less than or equal to the product of their norms, which can be used to prove Minkowski's inequality through manipulating the terms in the equation. Minkowski's inequality has various real-world applications, including in physics, engineering, and economics.
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Homework Statement


For u and v in [itex]R^n[/itex] prove Minkowski's inequality that [itex]\|u + v\| \leq \|u\| + \|v\|[/itex] using the Cauchy-Schwarz inequality theorem: [itex]|u \cdot v| \leq \|u\| \|v\|[/itex].

Homework Equations


Dot product: [itex]u \cdot v = u_1 v_1 + u_2 v_2 + \cdots + u_n v_n[/itex]
Norm: [itex]\|u \| = \sqrt {u \cdot u}[/itex]
Cauchy-Schwarz inequality: [itex]|u \cdot v| \leq \|u\| \|v\|[/itex]

The Attempt at a Solution


Using def. of norm: [itex]\|u + v\|^2 = \sqrt {(u + v) \cdot (u + v)}^2 = (u + v) \cdot (u + v)[/itex]
Expand: [itex](u + v) \cdot (u + v) = u \cdot u + 2 (u \cdot v) + v \cdot v[/itex]
Using the Cauchy-Schwarz inequality: [itex]u \cdot u + 2 (u \cdot v) + v \cdot v \leq \|u \|^2 + 2 \|u \| \|v\| + \| v \|^2 = (\|u \| + \| v \|)^2[/itex]

Therefore, [itex]\|u + v\|^2 \leq (\|u \| + \| v \|)^2 \Rightarrow \|u + v\| \leq \|u \| + \| v \|[/itex].

Thank-you
 
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Looks fine to me.
 

Related to Prove Minkowski's inequality using Cauchy-Schwarz's

1. What is Minkowski's inequality?

Minkowski's inequality is a mathematical inequality that states the relationship between the norms of two vectors and the inner product of those vectors. It is used to measure the distance between two vectors in a vector space.

2. What is Cauchy-Schwarz's inequality?

Cauchy-Schwarz's inequality is a mathematical inequality that states the relationship between the inner product of two vectors and the norms of those vectors. It is often used to prove other mathematical inequalities, such as Minkowski's inequality.

3. How can Cauchy-Schwarz's inequality be used to prove Minkowski's inequality?

By using Cauchy-Schwarz's inequality, we can show that the inner product of two vectors is always less than or equal to the product of their norms. This, in turn, can be used to prove Minkowski's inequality by manipulating the terms in the equation.

4. Can you provide a step-by-step proof of Minkowski's inequality using Cauchy-Schwarz's inequality?

Yes, a common proof of Minkowski's inequality using Cauchy-Schwarz's inequality involves expanding the terms and manipulating them to show that the resulting equation satisfies the properties of Minkowski's inequality. This can be done by using the definition of a norm and the properties of inner products.

5. What are some real-world applications of Minkowski's inequality?

Minkowski's inequality has many applications in fields such as physics, engineering, and economics. In physics, it is used to measure the distance between two points in a vector space. In engineering, it is used to optimize designs and analyze data. In economics, it is used to model consumer preferences and decision-making processes.

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