Mathematics

Types of Functions

Functions in mathematics can be classified into different types based on their properties and characteristics. Some common types of functions include linear, quadratic, exponential, logarithmic, trigonometric, and polynomial functions. Each type of function has its own unique graph and equation.

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6 Key excerpts on "Types of Functions"

  • Book cover image for: Making Sense of Mathematics for Teaching High School
    eBook - ePub
    • Edward C. Nolan, Juli K. Dixon, Farhsid Safi, Erhan Selcuk Haciomeroglu(Authors)
    • 2016(Publication Date)
    CHAPTER 4 Types of Functions How does the understanding of functions evolve as students experience different aspects of high school mathematics? As students transition from early coursework in high school mathematics to more advanced courses, they use their understanding of linear and quadratic functions (see chapters 1 and 2) to make sense of exponential, logarithmic, and rational functions, among others. As with earlier work with functions, these more complex functions are explored contextually, numerically, graphically, and algebraically. This chapter will focus on rate of change and other characteristics of various function types. Furthermore, the role of parameters in function transformations and the connections between functions and their inverses are examined, while highlighting the role of symmetry and geometric relationships. In chapter 5, tasks that use these mathematical concepts will be explored with a focus on modeling. The Challenge The introduction of exponential, logarithmic, and rational functions allows students more opportunities to make sense of the world around them. Different functions describe different phenomena. What are some ways that you can use context to compare functions? Take a moment to consider the task in figure 4.1. Figure 4.1: Comparing population growth through function types task. How did you begin to compare the population growth of these cities? How did you choose which x -values to consider? How did you organize the values you chose? The particular values in the domain you select have important implications for your analysis, as you need to select values that are important to both the functions involved and the context you are investigating. Selecting values that are important to the functions is critical in order to make a proper analysis of the behavior of the functions
  • Book cover image for: All the Mathematics You Missed
    By taking some other algebraic structure A in the place of R , we can turn the set of all functions from X to A into an algebraic structure of the same type in an analogous way. Other properties There are many other special classes of functions that are important to particular branches of mathematics, or particular applications. Here is a partial list: ________________________ WORLD TECHNOLOGIES ________________________ • bijection, injection and surjection, or singularly: o injective, o surjective, and o bijective function • continuous • differentiable, integrable • linear, polynomial, rational • algebraic, transcendental • trigonometric • fractal • odd or even • convex, monotonic, unimodal • holomorphic, meromorphic, entire • vector-valued • computable History Functions prior to Leibniz Historically, some mathematicians can be regarded as having foreseen and come close to a modern formulation of the concept of function. Among them is Oresme (1323-1382) . . . In his theory, some general ideas about independent and dependent variable quantities seem to be present. Ponte further notes that The emergence of a notion of function as an individualized mathematical entity can be traced to the beginnings of infinitesimal calculus. The notion of function in analysis As a mathematical term, function was coined by Gottfried Leibniz, in a 1673 letter, to describe a quantity related to a curve, such as a curve's slope at a specific point. The functions Leibniz considered are today called differentiable functions. For this type of function, one can talk about limits and derivatives; both are measurements of the output or the change in the output as it depends on the input or the change in the input.
  • Book cover image for: An Introduction to Proofs with Set Theory
    • Daniel Ashlock, Colin Lee(Authors)
    • 2022(Publication Date)
    • Springer
      (Publisher)
    85 C H A P T E R 7 Functions While every reader of this text is likely familiar with functions such as a quadratic function like f .x/ D x 2 C 2x C 1, this is likely a student’s first real introduction to abstract mathematical functions (or set theoretic functions). In more advanced mathematics the set theoretic defini- tion of functions is used as the default definition of a function. In this section we will define functions and extend much of our ability to work with sets to infinite sets. There are a number of different Types of Functions and so this section contains a great deal of terminology. Recall that two finite sets are the same size if they contain the same number of elements. It is possible to make this idea formal by using functions and, once the notion is formally defined, it can be applied to infinite sets. 7.1 MATHEMATICAL FUNCTIONS Definition 7.1 An ordered pair is a collection of two elements with the added property that one element comes first and one element comes second. The set containing only x and y (for x ¤ y ) is written fx; y g. The ordered pair containing x and y with x first is written .x; y/. Notice that while fx; xg is not a well-defined set, .x; x/ is a well-defined ordered pair because the two copies of x are different by virtue of coming first and second. The reason for defining ordered pairs at this point is that it permits us to make an important formal definition that pervades the rest of mathematics. Definition 7.2 A function f with domain S and range T is a set of ordered pairs .s; t/ with first element from S and second element from T that has the property that every element of S appears exactly once in some ordered pair. We write f W S ! T for such a function. We say f is a mapping of S to T , or that f maps S to T . Example 7.3 Suppose that A D fa; b; c g and B D f0; 1g then f D f.a; 0/; .b; 1/; .c; 0/g
  • Book cover image for: Introduction to Mathematics
    Linear algebra classes study linear functions  ∶ ℝ  → ℝ  . In this text, we study functions in complete general- ity. The key concepts from this section are used throughout theoretical and applied mathematics. In Chapter 6 we gave a formal definition of “function” in terms of sets. For most purposes, however, thinking of a function as a particular kind of set is unnec- essary and maybe even more of a hinderance than a help. In what follows, we give a definition of function in terms of predicates and then explore ways of visualizing func- tions, their properties, and their applications. For particular Types of Functions, such as continuous functions, there are an enormous number of applications, and we cannot possibly do justice to any of them. Definition 8.1 (Function). Let  and  be sets. A function  ∶  →  is a predicate, written as  = () or () = , in two free variables  ∈  and  ∈  such that the following conditions hold. • The domain condition. For each  ∈  , there exists a  ∈  such that  = (). • The well-defined condition. If ,  ∈  and  = , then () = (). The set  is called the domain of , the set  is called the codomain of , and the set range () = { ∈  ∶ ∃ ∈  such that  = ()} is called the range or image of . The range of  ∶  →  is also denoted (somewhat misleadingly) as (). Two functions  ∶  →  and ∶  →  are equal if and only if  =  ,  =  , and () = () for all  ∈  . In Definition 8.1, we could combine the domain and well-defined conditions into the single requirement that for each  ∈  there exists a unique  ∈  with  = (). The way we have stated the definition, however, is a better guide for constructing proofs involving functions. One popular metaphor is that a function is a machine for converting inputs to outputs. The domain is the set of all potential inputs to . The domain condition requires that all potential inputs are indeed valid inputs.
  • Book cover image for: Calculus and Ordinary Differential Equations
    The subject matter of calculus is functions. In fact calculus could be described as that branch of mathematics which deals with functions and their local behaviour -we shall have more to say about that in Chapter 4. Progress in calculus must therefore be founded on a clear understanding of what functions are, and how they can be described and used. We shall also need to agree on some of the notations which will be used throughout this book. 2.1 What is a function? The central idea of a function which you should have at the back of your mind is that of a rule, or prescription, for sending numbers to numbers. This is a good starting point, and we shall gradually refine and clarify the concept of function as we proceed. 'Numbers', here, will be taken to mean 'real numbers', rather than, say, complex numbers or rational numbers, or any of the other kinds of numbers that mathematicians have defined from time to time. It is possible to consider much more general notions of function in which we may want to consider rules for sending vectors to vectors, or matrices to numbers, or cabbages to kings, or just about anything to anything else; but, for the moment, let us agree on a function being defined by a rule for sending real numbers to real numbers. Example I Here is a simple example of such a function. The rule is: 'square the real number and then add two'. This function is defined by the successive application of two operations (or functions), namely 'square' and 'add two', which must be carried out in the right order. If each of the two basic operations is represented by a box, the function 'square the real number and then add two' looks like the diagram in Fig 2.1; so this function sends 1 to 3, -5 to 27, Vi to 4, 7T to 7T 2 + 2, and so on. Notice that the function is completely defined by the rule.
  • Book cover image for: Numbers and Functions
    eBook - PDF

    Numbers and Functions

    Steps into Analysis

    PART II Functions 6 Functions and continuity Neighbourhoods, limits of functions Preliminary activity: make sure that you have access to graph-drawing facilities on a computer or graphic calculator, and that you can use these facilities with confidence. Preliminary reading: Leavitt ch. 1 . Concurrent reading: Swann and Johnson, Hart, Reade, Smith, Spivak chs 4 , 5 , 6 . Further reading: Mason. Before coming to university you will have worked with polynomials, trigonometric, logarithmic and exponential functions. Now we explore properties shared by all of these functions: continuity, differentiability and integrability. Functions When you read or hear the phrase ‘the function f ( x ) ’, what comes to your mind? Perhaps a formula, perhaps a graph. 1 Write down what x can stand for, and what is meant by f , in the expression f ( x ) . Compare your answer with the one in the summary at the end of this section. We will introduce some special vocabulary in order to be clear what we mean when talking about functions. The domain of a function If f ( x ) = x 2 and the values of x are 0 , ± 1 , ± 2 , ± 3 , . . . , ± n , . . . , then the values of f ( x ) are 0 , 1 , 4 , 9 , . . . , n 2 , . . . . The set of possible values of x is called the domain of the function. When we say that x is a variable , we mean 141 142 6 Functions and continuity that the symbol x is being used to denote any member of the domain of a function. When the possible values of x are real numbers, the function is called a function of a real variable . The range and co-domain of a function The set of possible values of f ( x ) is called the range of the function, and any set which contains the range may be declared to be the co -domain of the function. We have just given a function with domain Z and range N ∪ { 0 } , which we express symbolically by writing f : Z → N ∪ { 0 } , with the definition f ( x ) = x 2 ( or f : x → x 2 ) .
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