Cartesian Product of Metric Spaces

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SUMMARY

The discussion centers on the Cartesian product of metric spaces, specifically the construction of the metric space (X × Y, τp) for metric spaces (X, ρ) and (Y, σ) using the formula τp((x1,y1), (x2,y2)) = (ρ(x1,x2)p + σ(y1,y2)p)^(1/p) for 1 ≤ p < ∞. Participants confirmed the positivity and symmetry of τp and sought assistance in verifying the triangle inequality. The solution involved applying the Minkowski inequality, which simplifies the proof of the triangle inequality for the defined metric.

PREREQUISITES
  • Understanding of metric spaces and their properties
  • Familiarity with the Minkowski inequality
  • Knowledge of triangle inequality in metric spaces
  • Basic concepts of Cartesian products in mathematics
NEXT STEPS
  • Study the Minkowski inequality in detail
  • Explore the properties of different types of metrics, including Euclidean and non-Euclidean metrics
  • Learn about the implications of triangle inequality in various mathematical contexts
  • Investigate the applications of Cartesian products in topology and analysis
USEFUL FOR

Mathematicians, students of advanced calculus, and anyone studying topology or metric spaces will benefit from this discussion.

MKR
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Hello everyone.

I read in a book that for metric spaces [itex](X, \rho), (Y, \sigma)[/itex] we can form the metric space [itex](X \times Y, \tau_p)[/itex], for [itex]1 \leq p < \infty[/itex] where [itex]\tau_p[/itex] is given by:

[tex]\tau_p((x_1,y_1), (x_2,y_2)) = (\rho(x_1,x_2)^p + \sigma(y_1,y_2)^p)^\frac{1}{p}[/tex]

I can easily verify the positivity and symmetry of [itex]\tau_p[/itex] but verifying the triangle innequality is a bit tricky. Any suggestions? Here is what I've tried with no luck:

[tex](\rho(x_1,x_2)^p + \sigma(y_1,y_2)^p)^\frac{1}{p} \leq \rho(x_1,x_2) + \sigma(y_1,y_2)[/tex]

since rho and sigma are metrics they each satisfy the triangle innequality in their respective spaces and so we have for any (x3,y3) in X*Y,

RHS [tex]\leq \rho(x_1,x_3) + \rho (x_3,x_2) + \sigma(y_1,y_3) + \sigma(y_3,y_2)[/tex]

and I'm stuck. Thanks in advance for your help.
 
Last edited:
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How did you prove the Euclidean metric on R² satisfies the triangle equality? Wouldn't the same proof work here?
 
Thanks Hurkyl. It was even easier than that since I had already proved the Minkowski inequality, so I just had to recognize that I could apply that here. However, It was your comment that led me to recognize this. Thank You!
 
Last edited:

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