Math Desmonstration DM
Lecture Notes on Discrete Mathematics
However the rigorous treatment of sets happened only in the 19-th century due to the German math-ematician Ge Cantor He was solely responsible in ensuring that sets had a home in mathematics Cantor developed the concept of the set during his study of the trigonometric series which is now known as the limit point or the derived set operator |
Discrete Mathematics
1 01 Use matrices to model and solve problems Display and interpret data Write and evaluate matrix expressions to solve problems 1 02 Use graph theory to model relationships and solve problems GOAL 2: The learner will analyze data and apply probability concepts to solve problems 2 01 Describe data to solve problems |
Notes on Discrete Mathematics
Example: De Morgan’s Laws for Logic The following propositions are logically equivalent: ∨ q ≡ p ∧ q |
Swearword e o u a i
showing zero math productivity of any kind To be fair the course’s professor contributed their bit by not follow-ing the Monster religiously but rather omitting from the syllabus a few sections which had an unusually high concentration of genuine math-ematical content (such as e g the relation between path-counting in |
What is the textbook for discrete math-ematics?
The textbook for this course is Richard Johnsonbaugh:Discrete Math-ematics, Fifth Edition, 2001, Prentice Hall. With few exceptions I will follow the notation in the book. These notes contain some questions and “exercises” intended to stimulate the reader who wants to play a somehow active role while studying the subject.
How do you divide a set into disjoint equivalence classes?
[Equivalence relation divides a set into disjoint classes] Let be an equivalence relation on a nonempty set X. Then, the set X is equal to the union of all equivalence classes of . on X divides X into disjoint equivalence classes. Proof. 1. Let a; b 2 X be distinct elements of X.
What if Discrete Math is bad?
If discrete math is bad, then x = 4. Discrete math is bad. Therefore, x = 4. Ans: Denote `x = 4' by p and `discrete mathematics is bad' by q. The argument is translated ? into the inference fq ! p; qg
What is discrete mathematics an open introduction?
Discrete Mathematics: An Open Introduction is a free, open source textbook appropriate for a first or second year undergraduate course for math majors, especially those who will go on to teach. The textbook has been developed while teaching the Discrete Mathematics course at the University of Northern Colorado.
p → q ≡ p ∨ q
Example: De Morgan’s Laws for Logic. The following propositions are logically equivalent: ∨ q ≡ p ∧ q mlerma54.github.io
∧ q ≡ p ∨ q
We can check it by examining their truth tables: Example: The following propositions are logically equivalent: mlerma54.github.io
p ↔ q ≡ (p → q) ∧ (q → p)
Again, this can be checked with the truth tables: Exercise: Check the following logical equivalences: → q ≡ p ∧ q → q ≡ q → p ↔ q ≡ p Y q 1.1.4. Converse, Contrapositive. The converse of a conditional proposition p → q is the proposition q → p. As we have seen, the bi-conditional proposition is equivalent to the conjunction of a conditional proposi
1.4. Mathematical Induction
Many properties of positive integers can be proved by mathematical induction. mlerma54.github.io
(x + y)n = (x + y) × (x + y) ×
(n factors) · · · × (x + y) , expanding, and grouping terms of the form xayb. Since there are n factors of the form (x + y), we have a + b = n, hence the terms must be of the form xn−kyk. The coefficient of xn−kyk will be equal to the number of ways in which we can select the y from any (and the x from the remaining − ¡ ¢ n n The expression is ofte
P (E F ) = P (E) .
In this circumstances: P (E ∩ F ) = P (E) · P (F ) . Note that if E is independent of F then also F is independent of E, e.g., P (F E) = P (F ). Example: Assume that the probability that a shooter hits a target is p = 0.7, and that hitting the target in different shots are independent events. Find: The probability that the shooter does not hit th
5.1. Recurrence Relations
Here we look at recursive definitions under a different point of view. Rather than definitions they will be considered as equations that we must solve. The point is that a recursive definition is actually a def-inition when there is one and only one object satisfying it, i.e., when the equations involved in that definition have a unique solution. A
a ◦ b .
This is called infix notation. The Polish notation consists of placing the symbol to the left: ◦ a b . The reverse Polish notation consists of placing the symbol to the right: mlerma54.github.io
E → E + T .
A term may consists of a factor or a product of a term and a factor T → F mlerma54.github.io
T → T ∗ F
A factor may consists of an algebraic expression between parenthesis mlerma54.github.io
F → z.
Those expressions are called productions, and tell us how we can generate syntactically correct algebraic expressions by replacing suc-cessively the symbols on the left by the expressions on the right. For instance the algebraic expression “‘y + (x ∗ y + y) ∗ x” can be generated like this: E ⇒ E +T ⇒ T +T ⇒ F +T ⇒ y +T ⇒ y +T ∗F ⇒ y +F ∗F ⇒ y+(E)∗F
T2 · · · Tn .
So, for instance, the grammar of algebraic expressions defined above can be written in BNF as follows: E ::= T E + T mlerma54.github.io
L(R∗) = L(R)∗
(language closure). So, for instance, the expression a∗bb∗ represents all strings of the form anbm with n ≥ 0, m > 0, a∗(b + c) is the set of strings consisting of any number of a’s followed by a b or a c, a(a + b)∗b is the set of strings over {a, b} than start with a and end with b, etc. Another way of characterizing regular languages is as sets o
S → λ
if S is an accepting state. Let G be the regular grammar G = (N, T, P, σ) . Then the set of strings accepted by A is precisely L(G). Example: For the nondeterministic automaton defined above the corresponding grammar will be: T = {a, b}, N = {σ, C, F }, with the productions σ → bσ , σ → aC , C → bC , C → bF , mlerma54.github.io
2. Machines and Languages
2.1. Turing Machines. A Turing machine is a theoretical de-vice intended to define rigorously the concept of algorithm. It consists of An infinite tape made of a sequence of cells. Each cell may be empty or may contain a symbol from a given alphabet. A control unit containing a finite set of instructions. A tape head able to read and write (or dele
5.3. Generalized Permutations and Combinations 5.3.1
Permutations with Repeated Elements. Assume that we have an alphabet with k letters and we want to write all possible words containing n1 times the first |
Professional learning in mathematical reasoning: Reflections of a
developing teachers' understanding of mathematical reasoning. activities based around a demonstration lesson (Clarke et al. 2013) focused on reasoning. |
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Notes on Discrete Mathematics
8 jun 2022 These are the notes for the Fall 2017 semester version of the Yale course. CPSC 202a Mathematical Tools for Computer Science. |
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Comment bien présenter un Dm de maths ?
. Puis laisse un cadre afin que le professeur puisse noter quelques appréciations si besoin.
C'est quoi un DM en maths ?
. Le terme « décimètre » désigne également une règle dont la longueur vaut un décimètre, ou plus précisément un peu plus grande mais graduée sur un décimètre.
Comment faire une démonstration en mathématique ?
Comment justifier une affirmation en maths ?
. Toute réponse non justifiée vous fera perdre des points.
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