Category Archives: Infinitesimal calculus

The infinitesimal calculus, or calculus of the infinitesimal is a very important part of modern mathematics

Infinitesimal calculus

Infinitesimal Calculus

The infinitesimal calculus or calculus of infinitesimals constitutes a very important part of modern mathematics. It is normal to simply call it calculation

Within the field of mathematics, it includes the study of limits, derivatives, integrals and infinite series, and is taught at the university level. It is the study of change, in the same way that geometry is the study of space

It has wide applications in science and engineering and is used to solve problems for which algebra alone is insufficient. Calculus is based on algebra, trigonometry and analytical geometry and specializes in two fields: differential calculus and integral calculus, which are related by the fundamental theorem of calculus. In more advanced mathematics, calculus is usually called analysis and defines the study of functions

More generally, the calculation can refer to any method or quantization system guided by the symbolic manipulation of expressions. Some examples of other well-known calculus are, the propositional calculus, the predicative calculus, the relational calculus, and the lambda calculus

Numbers

Numbers

The numbers must be constructed with the rigor demanded by the mathematics and not only with our intuition

That is why we need to build them from concepts and primitive properties, because as Leopold Kronecker said:

God made the natural numbers; everything else is the work of man

Starting from a "basic" mathematics, there is a concept called a set and each set is made up of a collection of elements (which are unique and different from each other) which belong to the set. In the event that no element appears in the set, we will have an empty set and it is denoted by \emptyset

In case of not seeing clearly the logical necessity to introduce the numbers, it is suggested to try to answer the simple question of what is a number? and try to answer it intuitively

Egyptian unit fractions (Ahmes / Rhind Papyrus)

In this papyrus acquired by Henry Rhind in 1858 whose contents date from 2000 to 1800 BC. C. in addition to the number system, we find fractions. Only unit fractions (inverse of natural 120\frac{1}{20}) that are represented by an oval sign above the number, the fraction 23\frac{2}{3} that is represented by a special sign, and in some cases fractions of the type nn+1\frac{n}{n+1}. There are decomposition tables of 2n\frac{2}{n} from n=1 to n=101, such as 25=13+115\frac{2}{5}=\frac{1}{3}+\frac{1}{15} or 27=14+128\frac{2}{7}=\frac{1}{4}+\frac{1}{28}, but it is not known why they did not use 2n=1n+n+1n\frac{2}{n}=\frac{1}{n}+\frac{n+1}{n} but it seems that they were trying to use fractions unit lower than 1n\frac{1}{n}

Being a summative system the notation is: 1+12+141+\frac{1}{2}+\frac{1}{4}. The fundamental operation is the addition and our multiplication and division was done by "duplication" and "mediation", for example 6919=69(16+2+1)69\cdot 19=69\cdot (16+2+1), where 16 represents 4 duplications and 2 a duplication

Babylonian sexagesimal fractions (cuneiform documents)

In the cuneiform tablets of the Hammurabi dynasty (1800-1600 BC) the positional system appears, an extension of the fractions, but XXX is valid for 260+2,2+26012\cdot 60+2, 2+2\cdot 60-1 or 2601+26022\cdot 60-1+2\cdot 60-2 with a representation based on the interpretation of the problem

To calculate they resorted to the numerous tables at their disposal: of multiplication, of inverses, of squares and cubes, of square and cubic roots, of successive powers of a given number not fixed, etc. For example to calculate a, they took their best integer approximation a1a_1, and they calculated b1=aa1b_1=\frac{a}{a_1} (one major and one minor) and then a2=(a1+b1)2a_2=\frac{(a_1+b_1)}{2} is a better approximation, proceeding in the same way we obtain b2=aa2b_2=\frac{a}{a_2} and a3=(a2+b2)2a_3=\frac{(a_2+b_2)}{2} obtaining in the Yale-7289 tablet 2 = 1; 24,51,10 (in decimal base 1.414222) as value of a3a_3 on the basis of a1=1;30a_1=1;30

They carried out the operations in a similar way to today, the division multiplying by the inverse (for which they use their inverse tables). Missing from the table of inverses are those of 7 and 11 that have an infinitely long sexagesimal expression. If they are 159=;1,1,1\frac{1}{59}=;1,1,1 (our 19=0,1\frac{1}{9}=0,\stackrel{\frown}{1}) and 161=;0,59,0,59\frac{1}{61}=;0,59,0,59 (our 111=0,09\frac{1}{11}=0,\stackrel{\frown}{09}) but did not notice the periodic development

Set

Basic concepts of set theory

If we denote a set using X, the expression xX\displaystyle x\in X means that the element x belongs to set X; so what xX\displaystyle x\notin X that does not belong

A common notation is to mark the elements of a set in braces, X={a,b,c}\displaystyle X=\{a,b,c\} or X={xx meets a certain property}\displaystyle X=\{x| x\text{ meets a certain property}\} where the symbol is read as such that

Given two sets X, Y, their intersection XY\displaystyle X\cap Y and your union XY\displaystyle X\cup Y are two new sets defined by:

XY={aaXaY}\displaystyle X\cap Y=\{a|a\in X\cap a\in Y\}
XY={aaXaY}\displaystyle X\cup Y=\{a|a\in X\cup a\in Y\}

If all the elements of a set X are in another set Y, X is said to be subset of Y and denotes how XY or XY\displaystyle X \subset Y\text{ or }X \subseteq Y; its negation is denoted as X⊄Y or X⊈Y\displaystyle X \not\subset Y\text{ or }X \not\subseteq Y

If all the elements of a set X are equal to those of another set Y, which happens when XY and YX\displaystyle X \subseteq Y\text{ and }Y \subseteq X, X is said to be equal to Y and denoted as X=Y; its negation is denoted as X⊈Y or XY\displaystyle X \not\subseteq Y\text{ or }X \neq Y

When XY\displaystyle X \subset Y, the set of elements of Y that are not in X is denoted as Y\X={aaYa∉X}\displaystyle Y \backslash X =\{a| a\in Y\cap a\not\in X\}

In some cases, the set Y is a kind of implicitly present total set, in those cases we have a set complementary of X, which has the same meaning as Y\X\displaystyle Y \backslash X

We could go further into set theory to achieve more rigor and depth, but there are two important concepts that we are going to emphasize: relationships and applications

Relationships

Relationships

Relations relate two or more sets

Given two sets X and Y, their Cartesian product is denoted as XxY={(x,y)xX,yY}X x Y=\{(x, y)|x\in X, y\in Y\} where (x,y)(x, y) denotes an ordered pair consisting of x and y (this Generalization of Cartesian product can be applied to more than two sets)

A subset XxY is called relationship

When we have RXxX\mathbb{R}\subset X x X a relation in X, where (a,b)R(a, b)\in \mathbb{R} denotes aRb. These relationships can perform the following properties:

  • Property reflective when all the aXa \in X meet aRa
  • The property of symmetric if aRb is met bRa must also be met (it can be abbreviated how aRbbRaa R b\Rightarrow b R a)
  • Property transitive if aRb and bRc are met then it must be met that aRc (you can shortly denote how aRb,aRcaRca R b, a R c\Rightarrow a R c)

A relation that satisfies these three properties is called relationship of equivalence. Instead of using R, to denote them it is used \sim

The simplest example of an equivalence relationship is the equality relationship (each element is related only to itself). And if in an equivalence relationship we identify the related elements, we will get a kind of equality

We assume that in X we have a relation of equivalence \sim, group each element aRa\in R with everyone who is related to him. In this way we get for each to the following set: a^={xXax}\hat{a}=\{x \in X| a \sim x\}. This set is called class of equivalence of a

If we have two elements a,bXa, b\in X, their respective equivalence classes a^\hat{a} and b^\hat{b} are the same (a^=b^)(\hat{a} =\hat{b}) or disjoint (a^b^=)(\hat{a}\cap\hat{b} = \emptyset), the different types of equivalence form what is called partition of X (by definition, a partition in a set is a series of subsets that are two-to-two disjoints and whose join results in the set)

The set of equivalence classes is a new set that is named set quotient and is denoted: X\={a^aX}\displaystyle X\backslash\sim=\{\hat{a}|a\in X\}

If a,bXa, b \in X meet aba \sim b, your equivalence classes will be a^=b^\hat{a} = \hat{b} and therefore are the same element in X\X\backslash\sim

If the symmetric property is not met, the following can be true:

  • Property antisymmetric if aRb and bRa are met, it must be fulfilled that a=b (you can shortly denote how aRb,bRaa=ba R b, b R a\Rightarrow a = b)
  • A reflective, antisymetric and transitive R relationship is called order relationship, and it is common to denote it by \leq; it is said that (X,)(X, \leq) is an orderly set. With the same meaning as aba\leq b it is also used bab\geq a; if in addition to aba\leq b we want to make sure that a=b, you can use a<b o b>aa < b \text{ o }b > a

    In an orderly set, if it is always true that ab o baa\leq b\text{ o }b\leq a, is called total order; otherwise we are faced with a partial order

    When S is an ordered subset of X, we say that xXx \in X it is a upper bound of S if xtx \geq t for any tSt \in S. If there is a, the smallest of the upper dimensions and is called supreme S; if the supreme is in S, it is said to be the maximum S

    When S is an ordered subset of X, we say that xXx \in X it is a lower elevation of S if xtx\geq t for any tS\displaystyle t \in S. If there is a, the largest of the lower dimensions and is called tiny S; if the still is in S, it is said to be the minimum S

    A set in a well-ordered (or that complies with the principle of good sorting), is such an orderly set that any non empty subset has minimal

    Applications

    Applications

    An application is a rule that given two sets X and Y, each element of X is associated with an element of Y (and only one)

    If we call that rule f, this is denoted as: fXYf|X\rightarrow Y

    If f is associated xXx \in X with yYy \in Y it is denoted y=f(x)y=f(x) (and it is said that y is the image of x), and you can also use the notation xyx\rightarrow y

    X is called domain, and the set f(X)={f(x)xX}f(X)=\{f(x)|x\in X\} is the image or the path of f. (With more rigor we can define it from previous concepts, as a relation fXxYf\subset X x Y such that, for everything xXx\in X there is a single yYy\in Y that meets (x,y)f(x, y)\in f)

    Applications can be of the type:

    • fXYf|X\rightarrow Y is called injective Si f(a)f(b)\text{Si }f(a)\not=f(b) always that aba\not= b (can be denoted in abbreviated form as f(a)=f(b)a=bf(a)=f(b) \Rightarrow a = b)
    • fXYf|X\rightarrow Y is called surjective if for each yYy \in Y there is xXx\in X such that y=f(x)y=f(x)
    • fXYf|X\rightarrow Y is called bijective if is injective and suprayectiva at the same time

    Instead of applications, and with the same meaning, there is also talk of functions; commonly, the term function is used when dealing with a mapping between sets of numbers. In some Spanish-speaking countries, the term mapping is also used from the English term map. Sometimes an application is also said to be 1−1 with the meaning of being an injective application

    The body of the numbers

    The body of the numbers

    The set of numbers is what is called a body (sometimes the field designation is also used)

    A body is a set with two operations + and \displaystyle +\text{ and }\cdot (called sum and product), defined on F so that they fulfill the following properties:

    • Associative property for addition
    • (a+b)+c=a+(b+c)a,b,cF\displaystyle (a+b)+c=a+(b+c)\text{; }\forall a, b, c\in F
    • Commutative property for addition
    • a+b=b+aa,bF\displaystyle a+b=b+a\text{; }\forall a, b\in F
    • Neutral element of the sum
      There is some element a+b=b+a0F\displaystyle a+b=b+a\text{; }0\in F such that a+0=aaF\displaystyle a+0=a \text{; }\forall a\in F
      For all aF\displaystyle a\in F, exist some element bF\displaystyle b\in F such that a+b=0\displaystyle a+b=0 (that b is the reverse with respect to the sum from a, which is denoted by −a and is often referred to as the opposite element of a)

    • Associative property for the product
      (ab)c=a(bc)a,b,cF\displaystyle (a\cdot b)\cdot c=a\cdot (b\cdot c)\text{; }\forall a, b, c\in F
    • Commutative property for the product
      ab=baa,bF\displaystyle a\cdot b=b\cdot a\text{; }\forall a, b\in F
    • Neutral element of the product
      There is some element 1F\displaystyle 1\in F such that a1=aaF\displaystyle a\cdot 1=a\text{; }\forall a\in F
      For all aF\displaystyle a\in F with a0\displaystyle a\not=0, exist some element bF\displaystyle b\in F such that ab=1\displaystyle a\cdot b=1 (that b is the reverse with respect to the product from a, which is denoted by a1\displaystyle a^{-1})

    When the property of the existence of inverse with respect to the product fails, instead of body, we have what is called ring (which has its own properties, which we are not going to mention at this time, but due to the lack of an inverse, they differ a lot from the multiplication that is usually taught in primary school)

    For example, natural, real, and complex numbers are not bodies. Another set that does not form a body are polynomials (with rational, real or complex coefficients), but it is formed by the so called rational functions, that is, the quotients of polynomials

    Natural numbers

    Natural numbers

    Natural numbers are the ordered set of numbers that humanity has used to count, which are assigned ordinal names to name each particular number:

    Units
    Number Ordinal
    1 First
    2 Second
    3 Third
    4 Fourth
    5 Fifth
    6 Sixth
    7 Seventh
    8 Eighth
    9 Ninth
    11 to 19
    Number Ordinal
    11 Eleventh
    12 Twelfth
    13 Thirteenth
    14 Fourteenth
    15 Fifteenth
    16 Sixteenth
    17 Seventeenth
    18 Eighteenth
    19 Nineteenth
    Tens
    Number Ordinal
    10 Tenth
    20 Twenty
    30 Thirty
    40 Forty
    50 Fifty
    60 Sixty
    70 Seventy
    80 Eightieth
    90 Ninetieth
    Hundreds
    Number Ordinal
    100 Hundredth
    200 Two hundredth
    300 Three hundredth
    400 Four hundredth
    500 Five hundredth
    600 Six hundredth
    700 Seven hundredth
    800 Eight hundredth
    900 Nine hundredth

    And so we could continue listing them until we get bored, since the set of natural numbers is infinite

    However, there is no universal agreement on whether zero should be considered a natural number. Historically, 0 as a number had a much later origin than the rest of numbers. The Babylonians, in the 7th century BC. they had a symbol for zero, but just to leave no gaps when representing quantities in their base 60 positional numbering system in cuneiform script

    The Hindu mathematician Brahmagupta, already considered it a number more, in the 7th century; and possibly, the Olmec and Mayan civilizations already used it as a number, centuries earlier. On the other hand, the Greeks, from which the mathematics of Western culture derive, had no concept of zero; and for that reason, there is no way to represent it in Roman numerals, a culture that drank from Greek, which prevailed in Europe until the base 10 decimal system (of Indian origin and adopted by the Arabs) began to slowly prevail from the 13th century onwards

    For this reason, you can define natural numbers in two ways:

    {N={1,2,3,4,5,,n}(if we do not include 0) N0={0,1,2,3,4,5,,n}(if we do include 0) \begin{cases}\mathbb{N}=\{1,2,3,4,5,\cdots,n\} & \text{(if we do not include 0) } \\ \mathbb{N}_0=\{0,1,2,3,4,5,\cdots,n\} & \text{(if we do include 0) } \end{cases}

    The axioms of Peano

    The axioms of Peano

    The Peano axioms (also known as Peano's postulates) were a proposal by the Italian mathematician Geuseppe Peano in 1889, in order to axiomatically formalize the natural numbers, based on the set theory developed by Georg Cantor

    Axioms, which is still used in the present

    Natural numbers are defined as a set (called N0\mathbb{N}_0), an element (which assumes the role of zero and that we will denote as 0) and a “next” (or “successor”) element that is an application denoted by S so that it fulfills:

    1. The zero is a natural number
    2. The next natural number is also a natural number
    3. There is No natural number whose next is zero
    4. If the next of two natural numbers are equal, then the two numbers are equal
    5. If S is a set of natural numbers such that zero is of S and whenever a natural number is of S also its next one is in S, then S is the set of natural numbers

    Using a more formal or algebraic language, these five axioms can be stated like this:

    1. 0N00\in \mathbb{N}_0
    2. sN0N0\exists s| \mathbb{N}_0\rightarrow \mathbb{N}_0 and in addition satisfies the axioms following
    3. ∄nN0s(n)=0\not\exists n\in \mathbb{N}_0 |s(n)=0
    4. s(n)=s(m)n=ms(n)=s(m)\Rightarrow n=m (s is injective)
    5. SN,0SnS=s(n)SS=N0S\in \mathbb{N}, 0\in S |\forall n\in S=s(n)\in S\Rightarrow S=\mathbb{N}_0

    The method of induction

    The method of induction

    From the concept of induction, the idea of mathematical induction appears, which allows demonstrations by the induction method

    You can express the natural numbers as a triplet (N0,0,s)(\mathbb{N}_0,0,s) with N0\mathbb{N}_0 a set, 0N0,sN0N0\{0}0\in \mathbb{N}_0, s| \mathbb{N}_0\rightarrow\mathbb{N}_0\backslash\{0\} an injective application, and in such a way that the fifth of the previous axioms is fulfilled, which is called the axiom of induction or the principle of induction

    To do this, S is taken as the set of natural numbers that satisfy a certain property that wants to be proved, it is verified that zero fulfills the property (that is 0S0\in S), and that if a number n fulfills it, the next will also fulfill it (that is nSs(n)Sn\in S\Rightarrow s(n)\in S); and as a consequence of the axiom of induction, all natural numbers fulfill the property (S=N0S=\mathbb{N}_0)

    In practice, the principle of induction is usually applied in terms of properties rather than in terms of sets. To carry it out, we will carry out the following steps:

    Suppose that for each natural number nn0n\geq n_0 it has a certain property PnP_n which may or may not be true. We assume that:

    1. PnP_n it is certain
    2. If for some nn0n\geq n_0 the property PnP_n is true then Pn+1P_{n+1} also what is

    Then PnP_n it is certain for all nn0n\geq n_0

    The demonstration will be over, because we will have been able to test the property for all natives

    The Gaussian sum

    Induction Example: The Gaussian Sum

    The Gaussian sum is a practical example of the induction method

    In 1789. Carl Friedrich Gauss (who would become a great mathematician and physicist), while in school, at the age of nine, his teacher wanted to keep the children busy for a while, he ordered them to add the first hundred numbers. He had barely finished assigning homework when Gauss got up and handed over his whiteboard. On the board there was a single number: 5050. It turned out that 5050 was precisely the sum of the numbers from one to one hundred. How had he found the solution so quickly?

    Gauss realized something curious. The sum to be made was k=1100k\sum\limits_{k=1}^{100} k, which can take a long time if done in that order, but if you add the first and last numbers, you get 101. The same happens if you add the second with the penultimate and the third with the penultimate, and so on. You can see that all these sums have the same result: 101

    Since there are obviously 50 pairs whose sum is 101, the result of adding from one to one hundred is 50×101=505050\times 101=5050. This way of dealing with the problem is an excellent example of an elegant solution

    This solution is not only valid for numbers from one to one hundred. In general, the sum of the first n numbers (where n is an even number) is the last number plus one times the number of pairs, that is k=1nk=n(n+1)2\sum\limits_{k=1}^{n} k=\frac{n\cdot(n+1)}{2}

    Now we are going to prove that k=1nk=n(n+1)2\sum\limits_{k=1}^{n} k=\frac{n\cdot(n+1)}{2} is true for all natural numbers using the induction method:

    We take it as a PnP_n the left side of the equality, we check that for P1P_1 is true: P1=k=11k=1P_1=\sum\limits_{k=1}^{1} k=1

    Now compare it with the right side 1(1+1)2=122=22=1\frac{1\cdot(1+1)}{2}=\frac{1\cdot 2}{2}=\frac{2}{2}=1. Since 1=1, we have that the equality was true for P1P_1

    We assume that it is true up to n: k=1nk=n(n+1)2\sum\limits_{k=1}^{n} k=\frac{n\cdot(n+1)}{2}

    Now we check that it is true for n+1:

    k=1n+1k=(n+1)((n+1)+1)2=(n+1)(n+2)2=n2+2n+n+22=n2+3n+22\sum\limits_{k=1}^{n+1} k=\frac{(n+1)\cdot((n+1)+1)}{2}=\frac{(n+1)\cdot(n+2)}{2}=\frac{n^2+2\cdot n+n+2}{2}=\frac{n^2+3\cdot n+2}{2}
    (k=1nk)+(n+1)=n2+3n+22(\sum\limits_{k=1}^{n} k)+(n+1)=\frac{n^2+3\cdot n+2}{2}

    We apply the induction hypothesis: (n(n+1)2)+(n+1)=n2+3n+22(\frac{n\cdot(n+1)}{2})+(n+1)=\frac{n^2+3\cdot n+2}{2}

    n(n+1)+2(n+1)2=n2+3n+22\frac{n\cdot(n+1)+2\cdot(n+1)}{2}=\frac{n^2+3\cdot n+2}{2}
    n2+n+2n+22=n2+3n+22\frac{n^2+n+2\cdot n+2}{2}=\frac{n^2+3\cdot n+2}{2}
    n2+3n+22=n2+3n+22\frac{n^2+3\cdot n+2}{2}=\frac{n^2+3\cdot n+2}{2}

    It is fulfilled, then PnP_n it is certain for all nn0n\geq n_0 and therefore is true for all natural numbers