10.2
A sequence is a function defined on the set of natural numbers, producing a list of values indexed by n.
If these values approach a single real number as n increases, the sequence converges.
This real number is called the limit of the sequence.
Graphically, this means the values of the sequence get closer to a horizontal line as n increases.
For example, the sequence one over n converges to zero as n approaches infinity.
Two useful tools for proving convergence are boundedness and monotonicity.
A bounded sequence remains within fixed upper and lower values, while a monotonic sequence always increases or decreases.
Together, these lead to the Monotonic Sequence Theorem, which states that if a sequence is both bounded and monotonic, it must converge.
Consider a cooling cup of coffee. Its temperature, measured each minute, forms a decreasing, or monotonic sequence. Since the temperature cannot fall below room temperature, the sequence is bounded below.
Because the sequence is both monotonic and bounded, it converges to the stable room temperature, according to the Monotonic Sequence Theorem.
A sequence is a function defined on the natural numbers that assigns a value to each index. It can be understood as an ordered list of terms generated one after another. In mathematical analysis, an important question is whether the terms of a sequence approach a single real number as the index becomes very large. When this happens, the sequence is said to converge, and the value approached is called the limit. From a graphical perspective, convergence means that the plotted terms approach a horizontal line as the sequence progresses.
A simple example is the sequence formed by taking the reciprocals of the natural numbers. As the index increases, the terms become smaller and approach zero. This shows the basic idea of convergence: although the terms may never equal the limit exactly, they can approach it arbitrarily closely.
Two important concepts in the study of convergence are boundedness and monotonicity. A bounded sequence remains within fixed upper and lower limits, so its terms cannot grow without restriction. A monotonic sequence changes in only one direction, meaning that it either always increases or always decreases. These ideas are especially significant when considered together in the Monotonic Sequence Theorem. This theorem states that every bounded, monotonic sequence must converge.
The cooling of a cup of coffee provides an intuitive example. If the temperature is recorded once every minute, the resulting values form a decreasing sequence, since the coffee cools over time. At the same time, the temperature cannot decrease without bound, because it cannot fall below the surrounding room temperature. The sequence is therefore monotonic and bounded below. By the Monotonic Sequence Theorem, it must converge, and its limit is the stable temperature of the room.
A sequence is a function defined on the set of natural numbers, producing a list of values indexed by n.
If these values approach a single real number as n increases, the sequence converges.
This real number is called the limit of the sequence.
Graphically, this means the values of the sequence get closer to a horizontal line as n increases.
For example, the sequence one over n converges to zero as n approaches infinity.
Two useful tools for proving convergence are boundedness and monotonicity.
A bounded sequence remains within fixed upper and lower values, while a monotonic sequence always increases or decreases.
Together, these lead to the Monotonic Sequence Theorem, which states that if a sequence is both bounded and monotonic, it must converge.
Consider a cooling cup of coffee. Its temperature, measured each minute, forms a decreasing, or monotonic sequence. Since the temperature cannot fall below room temperature, the sequence is bounded below.
Because the sequence is both monotonic and bounded, it converges to the stable room temperature, according to the Monotonic Sequence Theorem.
From Chapter 10:
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