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Calculus I / Infinite Sequences and Series

Sequences: Convergence, Monotone Convergence Theorem, and the Squeeze Theorem

A sequence is the discrete analogue of a function: rather than f(x)f(x) for real xx, it gives a number ana_n for each positive integer nn. Whether a sequence converges — whether ana_n settles to a finite limit LL — is the first question in the theory of infinite series and in any iterative algorithm. In finance, sequences model the evolution of discrete time-steps: the balance of a savings account after nn compounding periods, the price of a bond with nn coupon dates remaining, the nn-period binomial tree price. The Monotone Convergence Theorem (bounded and monotone implies convergent) underpins the existence of the Black-Scholes price as a limit of binomial tree prices as n→∞n \to \infty.
Learning objectives. By the end of this note you should be able to:
  • define the limit of a sequence and check convergence directly from the definition;
  • apply the standard limit laws for sequences;
  • apply the Squeeze Theorem for sequences;
  • apply the Monotone Convergence Theorem to sequences defined recursively.

In this lesson

  1. What is a sequence?
  2. Convergence
  3. The Squeeze Theorem for sequences
  4. The Monotone Convergence Theorem

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