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Comprehensive vocabulary flashcards based on Lecture 1 (One-variable functions) covering set theory, elementary functions, functional representations, and introductory economic applications.
Mathematical model
An approximate description or representation of a real-life situation expressed in terms of mathematical symbols.
Set
A collection of distinct objects called elements.
Enumeration
A method of specifying a set by listing all of its individual elements, denoted as A={a1,a2,…,an}.
Description (Set Builder Notation)
A method of presenting a set by stating the defining property of its elements, denoted as A={a∣property}.
Equal sets
Sets that contain exactly the same elements.
Subset
A set A is considered a subset of set B if all elements belonging to A are present in B.
Union (A∪B)
The set of all elements that belong to set A or set B, defined as A∪B={x∣x∈A or x∈B}, with cardinality formula n(A∪B)=n(A)+n(B)−n(A∩B).
Intersection (A∩B)
The set of all elements that belong to both set A and set B, defined as A∩B={x∣x∈A and x∈B}, with cardinality formula n(A∩B)=n(A)+n(B)−n(A∪B).
Complement of a set (AC)
The set of elements in the universal set U that do not belong to A, defined as AC={x∣x∈U and x∈/A}, with cardinality formula n(AC)=n(U)−n(A).
Set difference (A∖B)
The set of elements belonging to A but not to B, expressed as A∖B={x∣x∈A and x∈/B}, with cardinality formula n(A∖B)=n(A)−n(A∩B).
Cartesian product (A×B)
The set of all ordered pairs where the first element is from set A and the second element is from set B, given by A×B={(a,b)∣a∈A and b∈B}.
Commutative law (of set operations)
The set operation principle stating that A∪B=B∪A and A∩B=B∩A.
Associative law (of set operations)
The set operation principle stating that A∪(B∪C)=(A∪B)∪C and A∩(B∩C)=(A∩B)∩C.
Distributive law (of set operations)
The set operation principle stating that A∪(B∩C)=(A∪B)∩(A∪C) and A∩(B∪C)=(A∩B)∪(A∩C).
Variable
A quantity that can vary (change) and get any one of a set of values.
Function
A dependence or relationship between variables consisting of a set of inputs (domain), a set of outputs (range), and a rule by which each input determines exactly one output.
Linear function
A function expressed in the form f(x)=ax+b, where a and b are constants.
Quadratic function
A function expressed in the form f(x)=ax2+bx+c, where a=0, and a, b, and c are constants.
Polynomial function of degree n
A function defined by f(x)=anxn+an−1xn−1+⋯+a1x+a0, where an,an−1,…,a1,a0 are constants.
Exponential function
A function of the form f(x)=ax, where a>0 and a=1.
Logarithmic function
A function defined as f(x)=loga(x), where a>0, x>0, and a=1.
Rational function
A function expressed as the ratio of two polynomials, f(x)=Q(x)P(x), where Q(x)=0.
Analytical representation
A way of representing a function as a formula or set of formulas specifying the mathematical operations to perform on x to determine y.
Parametrical representation
A way of representing a function where variables x and y are each expressed in terms of a third variable called a parameter t (x=φ(t), y=ψ(t)).
Graphical representation
A way of representing a function as a set of points plotted on the Cartesian plane.
Tabular representation
A way of representing a function by listing pairs of values for x and y in a table.
Explicit function
A function directly solved for the dependent variable in terms of the independent variable, written as y=f(x).
Implicit function
A function defined by a relationship in which the dependent and independent variables are not isolated, expressed in the form F(x,y)=0.
Inverse function
A function derived from y=f(x) by solving for the independent variable in terms of the dependent variable, denoted x=f−1(y).
Bounded function
A function for which there exists a constant number M such that for every value of x, ∣f(x)∣≤M (or −M≤f(x)≤M).
Composite function
A function formed by the superposition of elementary functions, denoted as f(g(x)).
Linear demand function
An economic relationship given by Q=f(P)=aP+b, where the slope coefficient a<0, P≥0, and Q≥0.
Linear supply function
An economic relationship given by Q=f(P)=aP+b, where the slope coefficient a>0, P≥0, and Q≥0.
Total revenue function (TR)
An economic function calculating gross income generated from sales, defined by TR=P⋅Q.
Total cost function (TC)
An economic function representing the overall cost of production, defined as TC=TFC+TVC=TFC+VC⋅Q, where TFC is total fixed costs and VC is variable cost per unit.
Profit function (π)
An economic function defined as total revenue minus total cost: π=TR−TC.