University Study Notes: Functions, Sequences, and Series
Fundamental Tasks and Problems Involving Functions
- Evaluation: Given a value , determine the value of the function at that point, . This involves challenges when dealing with irrational exponents or roots, such as evaluating , , or for all real .
- Examples of complex evaluation include finding the exact value of or .
- Plotting and Continuity: This involves graphing versus . Key considerations include:
- How to join discrete points to form a continuous curve.
- Maintaining a "smooth" curve and the physical justification for doing so.
- Situations where smoothness is expected include physical quantities like heat, temperature, pressure, current, voltage, and magnetic or electric fields.
- Non-smooth examples, such as the absolute value function , which has a sharp corner at the origin.
- Inversion: Given a value , find the corresponding such that .
- Growth, Fall, and Critical Points:
- Increasing Behavior: The function increases in the intervals , , and .
- Decreasing Behavior: The function decreases in the intervals and .
- Critical Points: These are points where the graph of attains a maximum or minimum value. At these points, the function hits a peak or trough and changes its growth/fall behavior.
- Asymptotics: Observing the behavior as reaches extreme values. For large positive , the function may tend toward a non-zero value; for large negative , it may tend toward zero.
Sequences: Definitions and Examples
- Formal Definition: A sequence of real numbers is a function defined from the set of non-negative integers to the set of real numbers .
- Domain/Codomain Notation: or .
- Basic Sequence Examples:
- : Generates the sequence
- : Generates the sequence
- : Generates the sequence
- Recursive Sequences:
- Fibonacci Sequence: Defined by , , and for . The sequence progresses as
- Arithmetic Progression (AP): Defined by for , where is the common difference. The -th term is .
- Geometric Progression (GP): Defined by for , where is the common ratio. The -th term is .
- The Sequence (Newton-Raphson approach):
- Formula: , for .
- Calculated terms:
- Target value ():
- Significance: While is irrational and cannot be expressed as a fraction , individual terms in this sequence () are rational and can be computed precisely to approximate as increases.
- Visualizing Sequences: Sequences are often visualized using stem plots to show discrete values for each integer . Different sequence types exhibit distinct patterns: increasing, alternating, and decreasing.
Series: Sequences Defined as Summations
- Definition: Given a sequence , a summation sequence is defined where each term represents the "partial sum" of the sequence up to that point.
- General form:
- Key Series Examples:
- Sum of Natural Numbers: For , the partial sum is . The sequence of partial sums is
- Harmonic Series (): .
- Generalized Harmonic Series (): .
- Alternating Harmonic Series: .
- Madhava-Leibniz Series: .
Boundedness of Sequences
- Bounded Above: A sequence is bounded above if there exists a constant such that for all .
- Bounded Below: A sequence is bounded below if there exists a constant such that for all .
- Analysis of Examples:
- : Lower bound is , no upper bound (unbounded above).
- : Lower bound is , upper bound is .
- : Lower bound is , upper bound is .
- : No lower bound, upper bound is .
- : No lower bound, no upper bound (unbounded).
- Arithmetic Progression ():
- If : Lower bound is , unbounded above.
- If : Unbounded below, upper bound is .
- Geometric Progression ():
- If : Lower bound is , unbounded above.
- If : Lower bound is , upper bound is .
- sequence (): Lower bound is , upper bound is .
Monotonicity of Sequences and Series
- Increasing: for all .
- Non-decreasing: for all .
- Decreasing: for all .
- Non-increasing: for all .
- Monotonicity Specifics:
- Arithmetic Progression (): Increasing.
- Arithmetic Progression (): Decreasing.
- Geometric Progression (): Increasing.
- Geometric Progression (): Decreasing.
- sequence: Decreasing (flattening toward ).
- : Increasing.
- Harmonic Series () and variants (): Increasing.
- Alternating Series (Harmonic and Madhava-Leibniz): Neither strictly increasing nor strictly decreasing (non-monotonic).
Concepts of Limits
- Formal Definition (Epsilon-N): A sequence tends to a limit if for any ̵ > 0, there exists an integer such that for all , the term lies within the range L - ̵ \le a_n \le L + ̵.
- Notation:
- Convergence and Divergence Definitions:
- Convergent: The sequence has a finite limit.
- Diverges to : The sequence grows unbounded and remains positive.
- Diverges to : The sequence grows unbounded in the negative direction.
- No Limit: The sequence does not stabilize at a finite value and does not grow unbounded in a single direction (e.g., oscillating sequences).
- Examples of Limits ():
- Limit is .
- Limit is .
- Diverges to .
- Diverges to .
- No limit (oscillates between and ).
- No limit (oscillates with increasing magnitude).
Questions & Discussion
Question (Sequence Identification): Which of the following functions represents a sequence?
- Answer: By definition, functions whose domain is the set of natural numbers (including 0), such as and , qualify as sequences.
Question (Arithmetic Progression): What is the common difference in the arithmetic progression ?
- Answer Calculation: . The common difference .
Question (Recursion Identification): Consider the sequence . What is the recursion formula?
- Analysis:
- The correct recursion is .
- Analysis:
Question (Partial Sum Analysis): Consider a series . Which option describes the partial sum ?
- Answer: . Specifically, for the first term when , we have . The correct representation corresponds to Option D in the provided choices: .
Question (Monotonicity Check): Which of the following is correct?
- Statement: The sequence is an increasing sequence.
- Verification: As , decreases, making its negative counterpart increase towards zero. Thus, the statement is correct.