SUMMARY
The discussion focuses on the convergence and divergence of sequences using two metrics: ${d}_{1}(x,y)=\frac{1}{\eta}|x-y|$ and ${d}_{2}(x,y)=|x-y|$. It is established that the sequence ${x}_{n}=\frac{1}{n}$ converges in the metric space $(X,d_{2})$, while the sequence ${x}_{n}=(-1)^{n}$ is divergent in both $(X,d_{1})$ and $(X,d_{2})$. The key takeaway is that since ${d}_{1}$ is a constant multiple of ${d}_{2}$, convergence in one metric implies convergence in the other.
PREREQUISITES
- Understanding of metric spaces and their properties
- Familiarity with sequences and their convergence criteria
- Knowledge of Cauchy sequences and their implications
- Basic mathematical notation and manipulation skills
NEXT STEPS
- Explore the properties of Cauchy sequences in metric spaces
- Learn about modular metric spaces and their applications
- Study the implications of different metrics on convergence behavior
- Investigate the relationship between bounded sequences and convergence
USEFUL FOR
Mathematicians, students studying real analysis, and anyone interested in the properties of sequences in metric spaces will benefit from this discussion.