Advanced Mathematics - Functions and Limits

    A functional relationship is a dependency between variables.

    The limit method is a basic method for studying variables .

    Mapping is a fundamental concept in modern mathematics, and function is a special case of mapping.

    Functions are the object of study in calculus.

    Here we will introduce mappings and functions, the limits of sequences and their properties, the limits of functions and their properties, infinity and infinitesimals, the algorithm of limits, the criterion of limit existence and two important limits, the comparison of infinitesimals, the continuity and discontinuity of functions, The operation of continuous functions and the continuity of elementary functions, and the properties of continuous functions on closed intervals.


1. Mappings and functions

    Definition of mapping: I won't go into details here

    The definitions of surjective, single injection and one-to-one mapping (bijection) will not be repeated here.

    Mappings have different idiomatic names in different branches of mathematics. A mapping from a non-empty set X to a number set Y is called a functional on X, and a mapping from a non-empty set X to itself is called a transformation on X. The mapping of the set of real numbers (or a subset thereof) X to the set of real numbers Y is called a function defined on X.

    The definition of inverse mapping and compound mapping will not be repeated here

   

    Function definition: I won't go into details here

    A function is a mapping from a set (or subset) of real numbers to a set of real numbers, and its value range is always within the set of real numbers, so the elements that constitute a function are: the domain of definition and the corresponding law

    The domain of a function is determined in two cases: the range of arguments that make the actual problem meaningful and the range of arguments that make the functional expression meaningful .

    Three representation methods of functions: tabular method, graphical method, analytical method (formula method)

    The set of points on the coordinate plane corresponding to the function is called the graph of the function

    Four properties of functions: boundedness, monotonicity, parity, periodicity

    Usually we refer to the period of a periodic function as the smallest positive period. Not every periodic function has a minimum positive period

    Inverse function and compound function (corresponding to inverse mapping and compound mapping): the definition will not be repeated

    The graphs of the direct function (original function) and the inverse function are symmetrical about the y=x line

    Note the ordering of composite maps and composite functions. In order to satisfy the composition requirement, it is sometimes necessary to restrict the domain of the innermost function

    Operation of functions: sum, difference, product, quotient. It is necessary to pay attention to how the range of the independent variable that makes the operation expression true is determined

    It can be considered that inverse functions and composite functions are also functional operations

    Basic elementary functions : exponential, logarithmic, power, trigonometric, inverse trigonometric

    Elementary function : a function composed of constants and basic elementary functions through a limited number of four arithmetic operations and a limited number of functional compounding steps and can be represented by a formula (excluding the inverse function operation steps)


2. Limits and Properties of Sequences

    The definition of the limit of the sequence: I won't repeat it here

    The positive integer N in the definition is related to any given positive number (E), and N is selected with the given positive number

    When using the definition of the limit of a sequence to prove that a certain number is the limit of a sequence, it is important to be able to point out that the positive integer N mentioned in the definition does exist for any given positive number (E).

   

    Theorem 1: If a sequence converges, then its limit is unique

    Theorem 2: If a sequence converges, then the sequence must be bounded

    Theorem 3: Number preservation

    Theorem 4: The relationship between a convergent sequence and its subsequences


    A bounded sequence is a necessary but not sufficient condition for the sequence to converge

    not converge, diverge


3. Limits of functions and their properties

    In a certain change process of the independent variable, if the corresponding function value is infinitely close to a certain number, then this certain number is called the limit of the function in this change process. This limit is closely related to the change process of the independent variable .

    Note the definition of neighborhood and decentered neighborhood: both are open intervals


    The limit of the function as the independent variable tends to a finite value:

First assume that the function is defined in the decentered neighborhood         of this finite value

        Since the independent variable is only approaching the value (not equal, that's what the definition says), whether the function has a limit when it tends to the value has nothing to do with whether the function is defined at the value

        Left limit and right limit: no more details

        A sufficient and necessary condition for the existence of a limit of a function when the independent variable tends to a certain value is that the left limit and the right limit exist and are equal.

       

    The limit of the function as the independent variable approaches infinity:

        Similar to the limit of a sequence


    Theorem 1: If a function limit exists, then this limit is unique

    Theorem 2: Locally boundedness of the limit of a function

    Theorem 3: Local number preservation of function limits

        Theorem 3': Reinforcement of Theorem 3

        inference

    Theorem 4: The relationship between the limit of a function and the limit of a sequence


4. Infinite and infinitely small

    The definition of infinitesimal: no more details

        Zero can be the only constant that is infinitely small

        Theorem 1: No more details


    Definition of infinity: no more elaboration

        In fact, in a certain change process of the independent variable, the limit of the function that tends to infinity does not exist, but for the convenience of describing the behavior of the function, we also say "the limit of the function is infinity"

        Theorem 2: No more details


5. Limit algorithm

    The Four Algorithms of Limits and the Limit Algorithms of Compound Functions

   

    Theorem 1: The sum of two infinitesimals is infinitesimal

        Finite infinitesimal sums are also infinitesimals


    Theorem 2: The product of a bounded function and an infinitesimal is infinitesimal

        Corollary 1: The product of a constant and an infinitesimal is infinitesimal

        Corollary 2: The product of finite infinitesimals is infinitesimal

       

    Theorem 3: No more details

        Corollary 1: No more elaboration

        Corollary 2: No more elaboration

       

    Theorem 4: Similar to Theorem 2, except that it applies to sequences of numbers


    Theorem 5: No more details


    To find the limit of a rational whole function (polynomial) or rational fraction function when the independent variable tends to a certain value, just use the value to replace the independent variable in the function expression (for rational fraction function, it is necessary to assume that after this substitution denominator not equal to zero)

    For the exception mentioned above, because the independent variable tends to the value but not equal to the value, it is possible to reduce the non-zero common factor in the process of the independent variable trend (provided that the common factor exists)

The rational fraction function has a general formula for finding the limit when     the independent variable tends to infinity


    Theorem 6: Thoroughly understand the theorem


6. Limit existence criterion and two important limits

    Criterion I: Applied to Sequences

    Criterion I': Apply to Functions

    Criterion I and Criterion I' are both called pinch criteria


    Criterion II: Monotonic Bounded Sequences Must Have Limits This is a Sufficient Condition Applied to Sequences

        A convergent sequence must be bounded, and a bounded sequence is not necessarily convergent. Sequences are bounded and monotonically convergent

        The monotonic sequence mentioned here is generalized (including the equality case), different from the function


    Criterion II': applied to functions


    Cauchy Limit Existence Criterion (Cauchy's Convergence Principle): Sufficient and Necessary Conditions Applied to Sequences


7. The infinitesimal comparison

The sum, difference and product     of two infinitesimals are still infinitesimal. However, with respect to two infinitesimal quotients, a different situation arises

    The various cases of the limit of the ratio of two infinitesimals reflect how "quickly" different infinitesimals tend to zero

   

    Definition: not to repeat


    Theorem 1: No more details

    Theorem 2: I won't repeat it. When applying this theorem, it must be the same variable range of the independent variable.


8. Continuity and discontinuity of functions

    Definition of function continuity: no more details

    Figure out the relationship between limit and continuity

    Left continuous and right continuous: no more details   


    A rational integer function is continuous over the interval of real numbers, and a rational fraction function is continuous at every point in its domain


    Definition of function break point: one of three conditions can be satisfied

        Classification of discontinuous points: If x0 is the discontinuous point of the function, but both the left and right limits at x0 exist, this discontinuous point is called the first type of discontinuous point of the function. In addition, it is the second type of discontinuity.

        In the first type of discontinuity, those whose left and right limits are equal are called removable discontinuities , and those that are not equal are called jumping discontinuities . Infinite discontinuities and oscillating discontinuities are the second type of discontinuity.


9. Operation of continuous functions and continuity of elementary functions

    The continuity of the sum, difference, product, and quotient of continuous functions. Note the domain of the quotient

    Continuity of Inverse Functions

    Theorem 3: Satisfying the theorem, the limit symbols can be swapped

    Theorem 4: Continuity of Composite Functions


    Basic elementary functions are continuous in their domain

    All elementary functions are continuous in their definition interval. The so-called definition interval is the interval included in the definition domain

 

    If a function is known to be continuous at a certain point, then when seeking the limit of the function at that point, only the function value of the function at that point is required.

    If a function is an elementary function and a point is within its definition interval, then the limit value of the function at that point is the value of the function at that point

    On the Method of Calculating the Limit of Power Exponent Function


10. Properties of Continuous Functions on Closed Intervals

    Definition of a function that is continuous over a closed interval

   

    Theorem 1 (Boundedness and Maximum Minimum Theorem): A function that is continuous on a closed interval is bounded on the interval and must be able to obtain its maximum and minimum values.


    Theorem 2 (zero-point theorem): no more details

    Theorem 3 (Intermediate Value Theorem): No more details

        Corollary: no more elaboration


Difference     Between Continuity and Consistent Continuity

    If the function is consistent and continuous in a certain interval, then the function is also continuous in this interval, and vice versa is not necessarily true


    Theorem 4 (Uniform Continuity Theorem): If a function is continuous on a closed interval, then it is uniformly continuous on that interval.

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