Proof Techniques
There are some of the most common proof techniques.
1. Direct Proof
2. Proof by Contradiction
3. Proof by Contapositive
4. Proof by Cases
Content:
1- Mathematical proof (what and why)
2- Logic, basic operators
3- Using simple operators to construct any operator
4- Logical equivalence, DeMorgan’s law
5- Conditional statement (if, if and only if)
6- Arguments
This document discusses quantification in logic. Quantification transforms a propositional function into a proposition by expressing the extent to which a predicate is true. There are two main types of quantification: universal quantification and existential quantification. Universal quantification expresses that a predicate is true for every element, while existential quantification expresses that a predicate is true for at least one element. The document provides examples and pros and cons of each type of quantification and notes that quantification operators like ∀ and ∃ take precedence over logical operators.
This document introduces some basic concepts in propositional logic. It defines propositional logic as the study of how simple propositions combine to form more complex propositions. It discusses statements as descriptions that can be true or false, and provides examples. It also introduces logical connectives like negation, conjunction, disjunction, implication and biconditional, and shows how they combine atomic propositions into compound propositions. Truth tables are provided to illustrate the truth values of compound propositions formed with different connectives.
This document provides an introduction to the basics of set theory. It defines a set as a collection of objects and explains that sets play an important role in mathematics. The key concepts covered include set notation using curly brackets, the membership symbol to indicate if an element belongs to a set, comparing sets for equality or determining if one is a subset of another, calculating cardinality to determine the number of elements in a set, and performing the set operations of union and intersection. Examples using playing cards help illustrate these set theory concepts.
Mathematical induction is a method of proof that can be used to prove that a statement is true for all positive integers. It involves two steps: 1) proving the statement is true for the base case, usually n = 1, and 2) assuming the statement is true for an integer k and using this to prove the statement is true for k + 1. Examples are provided to demonstrate how to use mathematical induction to prove statements such as the sum of the first n positive integers equalling n(n+1)/2 and that 7n - 1 is divisible by 6 for all positive integers n.
The document discusses the problem of determining the optimal way to fully parenthesize the product of a chain of matrices to minimize the number of scalar multiplications. It presents a dynamic programming approach to solve this problem in four steps: 1) characterize the structure of an optimal solution, 2) recursively define the cost of an optimal solution, 3) compute the costs using tables, 4) construct the optimal solution from the tables. An example is provided to illustrate computing the costs table and finding the optimal parenthesization of a chain of 6 matrices.
The document discusses various mathematical induction concepts including weak induction, strong induction, and examples of proofs using induction. It begins with an overview of weak induction and its two steps: proving a statement is true for the base case, and proving if it is true for some step k then it is true for k+1. Strong induction is then introduced which proves a statement is true for all steps up to k implies it is true for k+1. Examples are provided of proofs using induction, such as proving 3n-1 is divisible by 2 and that sums of odd numbers equal squares. Reference sources are listed at the end.
Content:
1- Mathematical proof (what and why)
2- Logic, basic operators
3- Using simple operators to construct any operator
4- Logical equivalence, DeMorgan’s law
5- Conditional statement (if, if and only if)
6- Arguments
This document discusses quantification in logic. Quantification transforms a propositional function into a proposition by expressing the extent to which a predicate is true. There are two main types of quantification: universal quantification and existential quantification. Universal quantification expresses that a predicate is true for every element, while existential quantification expresses that a predicate is true for at least one element. The document provides examples and pros and cons of each type of quantification and notes that quantification operators like ∀ and ∃ take precedence over logical operators.
This document introduces some basic concepts in propositional logic. It defines propositional logic as the study of how simple propositions combine to form more complex propositions. It discusses statements as descriptions that can be true or false, and provides examples. It also introduces logical connectives like negation, conjunction, disjunction, implication and biconditional, and shows how they combine atomic propositions into compound propositions. Truth tables are provided to illustrate the truth values of compound propositions formed with different connectives.
This document provides an introduction to the basics of set theory. It defines a set as a collection of objects and explains that sets play an important role in mathematics. The key concepts covered include set notation using curly brackets, the membership symbol to indicate if an element belongs to a set, comparing sets for equality or determining if one is a subset of another, calculating cardinality to determine the number of elements in a set, and performing the set operations of union and intersection. Examples using playing cards help illustrate these set theory concepts.
Mathematical induction is a method of proof that can be used to prove that a statement is true for all positive integers. It involves two steps: 1) proving the statement is true for the base case, usually n = 1, and 2) assuming the statement is true for an integer k and using this to prove the statement is true for k + 1. Examples are provided to demonstrate how to use mathematical induction to prove statements such as the sum of the first n positive integers equalling n(n+1)/2 and that 7n - 1 is divisible by 6 for all positive integers n.
The document discusses the problem of determining the optimal way to fully parenthesize the product of a chain of matrices to minimize the number of scalar multiplications. It presents a dynamic programming approach to solve this problem in four steps: 1) characterize the structure of an optimal solution, 2) recursively define the cost of an optimal solution, 3) compute the costs using tables, 4) construct the optimal solution from the tables. An example is provided to illustrate computing the costs table and finding the optimal parenthesization of a chain of 6 matrices.
The document discusses various mathematical induction concepts including weak induction, strong induction, and examples of proofs using induction. It begins with an overview of weak induction and its two steps: proving a statement is true for the base case, and proving if it is true for some step k then it is true for k+1. Strong induction is then introduced which proves a statement is true for all steps up to k implies it is true for k+1. Examples are provided of proofs using induction, such as proving 3n-1 is divisible by 2 and that sums of odd numbers equal squares. Reference sources are listed at the end.
The document discusses the classical definition of probability as well as axioms that define probability mathematically. It introduces the classical definition where probability is defined as the number of favorable outcomes divided by the total number of possible outcomes. It then discusses limitations of the classical definition and introduces the frequency interpretation of probability. Finally, it outlines three axioms that define a function as a valid probability function: 1) probabilities are between 0 and 1, 2) the total probability of the sample space is 1, and 3) probabilities of mutually exclusive events sum to the total probability.
1) The document uses mathematical induction to prove several formulas.
2) It demonstrates proofs for formulas like 1 + 3 + 5 + ... + (2n-1) = n^2 and 2 + 4 + ... + 2n = n(n+1).
3) The proofs follow the standard structure of mathematical induction, showing the base case is true and using the induction hypothesis to show if the statement is true for n it is also true for n+1.
The document discusses key concepts in probability, including:
1) Random phenomena involve outcomes that are unknown but have possible values. Trials produce outcomes that make up events within a sample space.
2) The Law of Large Numbers states that independent repeated events will have a relative frequency that approaches a single probability value.
3) Theoretical probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes, assuming all outcomes are equally likely.
The document discusses the rules for matrix multiplication. It states that two matrices can only be multiplied if the number of columns of the first matrix is equal to the number of rows of the second matrix. It provides examples of multiplying different matrices and explains how to calculate each element of the resulting matrix by taking the dot product of the corresponding row and column. It also gives an example of using matrix multiplication to calculate total sales and revenue from sales data organized in matrices.
Simplify a Clique Problem Boolean algebra by factorization. Show that Clique Problem is Non-Deterministic Polynomial Time (NP) and cannot be simplified to Polynomial Time (P). Kung Fu Computer Science, Geometric complexity theory
Discrete Mathematics - Sets. ... He had defined a set as a collection of definite and distinguishable objects selected by the means of certain rules or description. Set theory forms the basis of several other fields of study like counting theory, relations, graph theory and finite state machines.
1) Mathematical induction is a method of proof that can be used to prove statements for all positive integers. It involves showing that a statement is true for n=1, and assuming it is true for an integer k to prove it is true for k+1.
2) The document provides an example using mathematical induction to prove the formula Sn = n(n+1) for the sum of the first n even integers.
3) Finite differences are used to determine if a sequence has a quadratic model by seeing if the second differences are constant. The example finds the quadratic model n^2 for the sequence 1, 4, 9, 16, 25, 36.
Counting, mathematical induction and discrete probabilitySURBHI SAROHA
This document provides a summary of topics related to counting, mathematical induction, and discrete probability. It covers basics of counting using rules like product and sum. It also discusses pigeonhole principle, permutations, combinations, and inclusion-exclusion principle. Additionally, it explains mathematical induction and concepts in probability like sample space, events, conditional probability, and Bayes' theorem. Examples are provided for various counting techniques and probability calculations.
This document provides an introduction to the Master Theorem, which can be used to determine the asymptotic runtime of recursive algorithms. It presents the three main conditions of the Master Theorem and examples of applying it to solve recurrence relations. It also notes some pitfalls in using the Master Theorem and briefly introduces a fourth condition for cases where the non-recursive term is polylogarithmic rather than polynomial.
Name: Zalte Sayali Pandurang
PRN: 2020mtecsit002
Aim: The relevance of Euler’s Totient Function to the application of Cryptography. Euler's totient function counts the number of integers co-prime to n between 1 and n. It has various properties and a product formula. Euler's totient function is useful in cryptography as the RSA algorithm uses it to find encryption and decryption keys based on two large prime numbers.
Discrete Mathematics is a branch of mathematics involving discrete elements that uses algebra and arithmetic. It is increasingly being applied in the practical fields of mathematics and computer science. It is a very good tool for improving reasoning and problem-solving capabilities.
This document introduces the concept of sets in discrete mathematics. It defines what a set is and discusses how sets are represented and notated. It also covers basic set operations like union and intersection. Some key points include:
- A set is a collection of distinct objects, called elements.
- Sets can be represented either by listing elements within curly braces or using set-builder notation describing a common property.
- Basic set operations include union, intersection, subset, power set, and the empty set. Union combines elements in sets while intersection finds elements common to sets.
Propositional Logic
CMSC 56 | Discrete Mathematical Structure for Computer Science
August 17, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
The Cramer-Rao Inequality provides us with a lower bound on the variance of an unbiased estimator for a parameter.
The Cramer-Rao Inequality Let X = (X1,X2,. . ., Xn) be a random sample from a distribution with d.f. f(x|θ), where θ is a scalar parameter. Under certain regularity conditions on f(x|θ), for any unbiased estimator φˆ (X) of φ (θ)
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
The document discusses surds, which are irrational numbers that cannot be expressed as a fraction. It provides examples of calculating, adding, subtracting, simplifying, and rationalizing surds. Calculating surds involves taking the root of a number. Simplifying surds involves expressing the root using only integer factors with a square root. Rationalizing involves multiplying the numerator and denominator of a fraction by conjugates to remove surds.
It gives detail description about probability, types of probability, difference between mutually exclusive events and independent events, difference between conditional and unconditional probability and Bayes' theorem
This document provides guidance on writing mathematical proofs. It defines key terms like direct proof and counterexample. It also outlines the standard format for proofs, including stating the theorem, clearly marking the beginning and end, and providing justification for each step. Common mistakes to avoid are arguing from examples rather than a general case, using the same variable to mean different things, and jumping to a conclusion without proper justification.
This document discusses proof by contradiction in mathematics. It begins by defining proof by contradiction as proving the truth of a statement by showing that assuming the statement is false leads to a contradiction. The document then provides examples of proofs by contradiction, including:
1) Proving there is no greatest integer by supposing there is a greatest integer N and showing that N+1 would also be an integer, contradicting that N was the greatest.
2) Proving the square root of 2 is irrational by supposing it is rational and showing this leads to a contradiction.
3) Explaining the general steps in a proof by contradiction: assume the statement is false, show this assumption leads to a contradiction, and thus
The document discusses the classical definition of probability as well as axioms that define probability mathematically. It introduces the classical definition where probability is defined as the number of favorable outcomes divided by the total number of possible outcomes. It then discusses limitations of the classical definition and introduces the frequency interpretation of probability. Finally, it outlines three axioms that define a function as a valid probability function: 1) probabilities are between 0 and 1, 2) the total probability of the sample space is 1, and 3) probabilities of mutually exclusive events sum to the total probability.
1) The document uses mathematical induction to prove several formulas.
2) It demonstrates proofs for formulas like 1 + 3 + 5 + ... + (2n-1) = n^2 and 2 + 4 + ... + 2n = n(n+1).
3) The proofs follow the standard structure of mathematical induction, showing the base case is true and using the induction hypothesis to show if the statement is true for n it is also true for n+1.
The document discusses key concepts in probability, including:
1) Random phenomena involve outcomes that are unknown but have possible values. Trials produce outcomes that make up events within a sample space.
2) The Law of Large Numbers states that independent repeated events will have a relative frequency that approaches a single probability value.
3) Theoretical probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes, assuming all outcomes are equally likely.
The document discusses the rules for matrix multiplication. It states that two matrices can only be multiplied if the number of columns of the first matrix is equal to the number of rows of the second matrix. It provides examples of multiplying different matrices and explains how to calculate each element of the resulting matrix by taking the dot product of the corresponding row and column. It also gives an example of using matrix multiplication to calculate total sales and revenue from sales data organized in matrices.
Simplify a Clique Problem Boolean algebra by factorization. Show that Clique Problem is Non-Deterministic Polynomial Time (NP) and cannot be simplified to Polynomial Time (P). Kung Fu Computer Science, Geometric complexity theory
Discrete Mathematics - Sets. ... He had defined a set as a collection of definite and distinguishable objects selected by the means of certain rules or description. Set theory forms the basis of several other fields of study like counting theory, relations, graph theory and finite state machines.
1) Mathematical induction is a method of proof that can be used to prove statements for all positive integers. It involves showing that a statement is true for n=1, and assuming it is true for an integer k to prove it is true for k+1.
2) The document provides an example using mathematical induction to prove the formula Sn = n(n+1) for the sum of the first n even integers.
3) Finite differences are used to determine if a sequence has a quadratic model by seeing if the second differences are constant. The example finds the quadratic model n^2 for the sequence 1, 4, 9, 16, 25, 36.
Counting, mathematical induction and discrete probabilitySURBHI SAROHA
This document provides a summary of topics related to counting, mathematical induction, and discrete probability. It covers basics of counting using rules like product and sum. It also discusses pigeonhole principle, permutations, combinations, and inclusion-exclusion principle. Additionally, it explains mathematical induction and concepts in probability like sample space, events, conditional probability, and Bayes' theorem. Examples are provided for various counting techniques and probability calculations.
This document provides an introduction to the Master Theorem, which can be used to determine the asymptotic runtime of recursive algorithms. It presents the three main conditions of the Master Theorem and examples of applying it to solve recurrence relations. It also notes some pitfalls in using the Master Theorem and briefly introduces a fourth condition for cases where the non-recursive term is polylogarithmic rather than polynomial.
Name: Zalte Sayali Pandurang
PRN: 2020mtecsit002
Aim: The relevance of Euler’s Totient Function to the application of Cryptography. Euler's totient function counts the number of integers co-prime to n between 1 and n. It has various properties and a product formula. Euler's totient function is useful in cryptography as the RSA algorithm uses it to find encryption and decryption keys based on two large prime numbers.
Discrete Mathematics is a branch of mathematics involving discrete elements that uses algebra and arithmetic. It is increasingly being applied in the practical fields of mathematics and computer science. It is a very good tool for improving reasoning and problem-solving capabilities.
This document introduces the concept of sets in discrete mathematics. It defines what a set is and discusses how sets are represented and notated. It also covers basic set operations like union and intersection. Some key points include:
- A set is a collection of distinct objects, called elements.
- Sets can be represented either by listing elements within curly braces or using set-builder notation describing a common property.
- Basic set operations include union, intersection, subset, power set, and the empty set. Union combines elements in sets while intersection finds elements common to sets.
Propositional Logic
CMSC 56 | Discrete Mathematical Structure for Computer Science
August 17, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
The Cramer-Rao Inequality provides us with a lower bound on the variance of an unbiased estimator for a parameter.
The Cramer-Rao Inequality Let X = (X1,X2,. . ., Xn) be a random sample from a distribution with d.f. f(x|θ), where θ is a scalar parameter. Under certain regularity conditions on f(x|θ), for any unbiased estimator φˆ (X) of φ (θ)
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
The document discusses surds, which are irrational numbers that cannot be expressed as a fraction. It provides examples of calculating, adding, subtracting, simplifying, and rationalizing surds. Calculating surds involves taking the root of a number. Simplifying surds involves expressing the root using only integer factors with a square root. Rationalizing involves multiplying the numerator and denominator of a fraction by conjugates to remove surds.
It gives detail description about probability, types of probability, difference between mutually exclusive events and independent events, difference between conditional and unconditional probability and Bayes' theorem
This document provides guidance on writing mathematical proofs. It defines key terms like direct proof and counterexample. It also outlines the standard format for proofs, including stating the theorem, clearly marking the beginning and end, and providing justification for each step. Common mistakes to avoid are arguing from examples rather than a general case, using the same variable to mean different things, and jumping to a conclusion without proper justification.
This document discusses proof by contradiction in mathematics. It begins by defining proof by contradiction as proving the truth of a statement by showing that assuming the statement is false leads to a contradiction. The document then provides examples of proofs by contradiction, including:
1) Proving there is no greatest integer by supposing there is a greatest integer N and showing that N+1 would also be an integer, contradicting that N was the greatest.
2) Proving the square root of 2 is irrational by supposing it is rational and showing this leads to a contradiction.
3) Explaining the general steps in a proof by contradiction: assume the statement is false, show this assumption leads to a contradiction, and thus
This document provides an introduction to Fermat's Last Theorem. It discusses how proving the theorem for specific cases of n=4 and prime numbers is sufficient to prove it generally. It also covers some of the early work done to attempt to prove the theorem, including using Pythagorean triples to represent solutions and the method of infinite descent. The document then gives proofs for n=4 using these techniques, showing there are no integer solutions to the equation.
Proofs Methods and Strategy
CMSC 56 | Discrete Mathematical Structure for Computer Science
September 10, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
This document provides an overview of key concepts related to proofs in discrete structures including:
- Theorems, axioms, conjectures, corollaries, and lemmas are introduced and defined.
- Different types of proofs (direct, contraposition, contradiction) and how to construct each type are described.
- Universal quantifiers in theorem statements are discussed.
- Examples of direct, contraposition, and contradiction proofs are provided for different mathematical statements.
This document discusses various methods of mathematical proof, including:
1. Direct proofs, which are used to prove statements of the form "If P then Q" by listing statements from P to Q using axioms and inference rules.
2. Proof by contraposition, which proves "If P then Q" by showing "If not Q then not P".
3. Proof by contradiction, which assumes the negation of what is to be proved and arrives at a contradiction.
- The document discusses some fundamental concepts in analysis such as natural numbers, zero, infinity, series, and L'Hôpital's rule.
- It provides examples to illustrate issues that can arise from improperly handling concepts like division by zero, divergent series, and interchange of sums.
- The key points are that operations should not be performed on divergent series and sums can only be interchanged if the series is absolutely convergent. L'Hôpital's rule also has specific requirements that must be checked before applying it.
This document provides an overview of key concepts in probability, including:
- Random experiments, sample spaces, elementary outcomes, and events
- Classical and empirical definitions of probability
- Operations on events like unions, intersections, complements
- Conditional probability and the multiplication rule
- Independent events and pairwise/mutual independence
It defines key terms and concepts and provides examples to illustrate probability calculations and relationships between events. Assignments are given to extend the formulas provided to additional events.
This document discusses proof by contradiction, an indirect proof method. It provides examples of using proof by contradiction to prove different mathematical statements. The key steps in a proof by contradiction are: 1) assume the statement to be proved is false, 2) show that this assumption leads to a logical contradiction, and 3) conclude that the original statement must be true since the assumption was false. The document provides examples of proofs by contradiction for statements such as "there is no greatest integer" and "if n is an integer and n3 + 5 is odd, then n is even."
This document contains exercises and solutions related to monotone sequences, convergent subsequences, and the Bolzano-Weierstrass theorem from an introduction to real analysis course. It includes 4 problems examining properties of specific sequences, showing whether they are bounded/monotone and finding their limits, as well as examples of an unbounded sequence with a convergent subsequence and sequences that diverge. The solutions provide detailed proofs of the properties of each sequence using induction and algebraic manipulations.
This document is the preface to a textbook on number theory. It discusses the goals of the textbook, which are to encourage independent thinking and problem solving rather than rote memorization. Number theory is well-suited for this purpose as patterns in the natural numbers can be discerned through observation and experimentation, but proving theorems requires rigorous demonstration. The textbook was originally written for a course at Brown University designed to attract non-science majors to mathematics. The prerequisites are few, requiring only high school algebra and a willingness to experiment, make mistakes, learn from them, and persevere.
1. The document contains exercises on limit theorems from an introduction to real analysis course. It includes 4 problems asking the student to determine if sequences converge or diverge based on given formulas, provide examples of sequences whose sum and product converge but the individual sequences diverge, and prove statements about convergent sequences.
2. The solutions show work for determining convergence or divergence of sequences defined by formulas in problem 1. Examples are given in problem 2 where the sum and product of divergent sequences converge. Theorems are applied in problems 3 and 4 to prove relationships between convergent sequences.
This document provides an introduction to number theory and mathematical induction. It discusses the following key points:
- Number theory studies properties and relationships between numbers like integers and primes. The primes are important building blocks.
- Mathematical induction is a method of proof that allows proving statements about infinite sets of numbers. It involves proving a base case and an induction step to show if the statement is true for one number, it is true for the next.
- As an example, induction is used to prove that the sum of the first n odd numbers equals n^2 for all positive integers n. This involves proving the base case of n=1 and assuming the statement is true for an arbitrary n before showing it holds for
Mathematical induction and divisibility rules are methods for proving statements about numbers.
Mathematical induction has two steps: 1) proving the statement is true for the base case, usually n=1. 2) Assuming the statement is true for n=k, proving it is true for n=k+1. Divisibility rules transform numbers into smaller ones while preserving divisibility by certain divisors. Rules exist to test for divisibility by 2, 3, 4, 5, 6, 7, 9, 10 and 13.
A complete and enhanced presentation on mathematical induction and divisibility rules with out any calculation.
Here are some defined formulas and techniques to find the divisibility of numbers.
This document provides an overview of algebra and mathematical logic. It discusses:
1) The history of algebra, from its origins in Arabic mathematics to its modern conception as the study of algebraic structures.
2) The key concepts in elementary algebra, including solving different types of equations.
3) Important terms and concepts in mathematical logic like statements, proofs, quantifiers, and methods of proof including direct proof, proof by contradiction, and proof by induction.
4) How modern abstract algebra studies algebraic structures in a broad sense.
The axiomatic power of Kolmogorov complexity lbienven
1. The document discusses random axioms and probabilistic proofs in Peano arithmetic. It describes a proof strategy where one could randomly select an integer n that satisfies some formula φ and add it as a new axiom.
2. While this intuition of probabilistic proofs makes sense, it is not really useful since any statement provable with sufficiently high probability is already provable in PA. However, probabilistic proofs can be exponentially more concise than deterministic proofs.
3. The document also discusses Kolmogorov complexity and how statements about it relate to the provability of PA. It can be shown that if C(x) is less than some value, PA will prove it, but PA will never prove a
The document discusses properties of certain types of harmonic numbers. Harmonic numbers are positive integers where the harmonic mean of their positive divisors is also an integer. The paper focuses on harmonic numbers n where n divides the sum of n's positive divisors completely (σ(n)=kn, where k is a positive integer). Three types of numbers are discussed: numbers of the form pq, 2k pq, and 2k p1p2...pm, where p and q are prime numbers. Some propositions are developed to understand the properties of these numbers. It is observed that harmonic numbers of the form pq where p and q are both odd primes do not exist. Properties of numbers of the form 2k pq and 2k p1
The document discusses systems of linear equations and provides examples of solving different types of problems involving linear equations. Specifically, it gives 4 examples of number problems involving setting up systems of linear equations based on given conditions and solving them to find unknown values. The examples include problems involving finding two numbers based on their ratio and sum, finding consecutive odd integers with a given sum, finding two numbers given their difference and a property relating the numbers, and finding an original fraction given its value after a transformation.
The document discusses propositions, logical operations, predicates, quantification, and mathematical induction. It provides:
1) Definitions of predicates, propositions, universal and existential quantification, and the principle of mathematical induction.
2) Examples of applying predicates, quantification, and induction to prove statements about integers and sums.
3) The process of proving statements by mathematical induction, which involves showing the basis step and inductive step. It also introduces strong mathematical induction.
The document discusses the differences between solving matrix equations of the form AX = B and XA = B. It shows that when solving AX = B, X is obtained by multiplying the inverse of A with B. However, when solving XA = B, X is obtained by multiplying B with the inverse of A. An example is provided to demonstrate that the solutions are not equal, proving that (AX = B) ≠ (XA = B).
Seorang individu membutuhkan 550 mg kalsium dan 1200 μg vitamin A per hari. Dengan mengkonsumsi 13,5 ons susu yang mengandung 38 mg kalsium dan 56 μg vitamin A per ons, dan 7,4 ons jus jeruk yang mengandung 5 mg kalsium dan 60 μg vitamin A per ons, maka kebutuhan harian akan terpenuhi.
1) An individual wants to increase their daily calcium and vitamin A intake through milk and orange juice.
2) Milk contains 38mg of calcium and 56mcg of vitamin A per ounce, while orange juice contains 5mg of calcium and 60mcg of vitamin A per ounce.
3) To get 550mg of calcium and 1200mcg of vitamin A daily, the individual should drink 13.5 ounces of milk and 7.4 ounces of orange juice.
1. The document provides an overview of roots and radicals, including definitions of square roots, principal and negative square roots, radical expressions, rational and irrational numbers, and methods for simplifying, adding, subtracting, multiplying, dividing, and rationalizing radicals.
2. Square roots are factors whose product is the radicand, and the principal square root is the positive root. Radicals indicate roots and have a radicand and index. Rational numbers can be expressed as ratios while irrational numbers cannot.
3. Graphs and tables can be used to find approximate square roots. Radicals can be simplified using properties of exponents and fractions. Radical equations are solved by isolating the radical and taking squares of both
This document discusses various topics related to roots and radicals:
1. It defines roots and radicals, and explains the difference between rational and irrational numbers. Square roots can be estimated using graphs or tables.
2. The square root of a product equals the product of the square roots. Square roots of fractions are simplified by taking the square root of the numerator and denominator.
3. Adding, subtracting, multiplying and dividing square roots follows specific rules. Rationalizing the denominator of a fraction involves multiplying by the conjugate to eliminate radicals.
4. Radical equations are solved by isolating the radical term, squaring both sides, then solving for the unknown variable and checking the solution in the original equation.
The Philosophy of Mathematics Education
There are some of explanations or points about philosophical school, like Absolutism, Progressive absolusit, Platonism, Conventionalism, and Empiricism.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
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A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
PROOF TECHNIQUES
1. PROOF TECHNIQUES
Presented in The Course of Tutorial Fundamental First Semester in
Academic Year 2017/2018
By : Group 3
1. Nun Hafizah Nur/1711440005
2. Nurul Fadhilah Alimuddin/1711440008
3. Fadhillah Suhardi/1711441006
4. Nurmasita/1711441011
5. Meutiah Nahrisyah/1711441014
6. Elvira/1711442006
Program of ICP Mathematic Education Mathematic Department
UNIVERSITAS NEGERI MAKASSAR
2017
2. PROOF TECHNIQUES
There are some of the most common proof techniques. In this chapter, we will examine about :
1. Direct proof
This is the simplest and easiest method of proof avaible to us. There are only two steps to a direct
proof :
- Assume that P is true.
- Use P to show Q must be true.
Direct proof of 𝑃( 𝑥) → 𝑄(𝑥) for all 𝑥 ∈ 𝐷
Assume that 𝑃(x) is true for an arbitrary 𝑥 ∈ 𝐷,
And show that 𝑄(𝑥) is true for this 𝑥.
Properties of Integers : In order to illustrate this type of proof we need to know the following :
- The negative integers of an integers is an integer.
- The sum and difference of two integers is an integer.
- The product of two integers is an integer.
- An integer 𝑛 is even if 𝑛 = 2𝑘 for some integer 𝑘.
- An integers 𝑛 is odd if 𝑛 = 2𝑘 + 1 for some integer 𝑘
*Example :
Theorem 1 : If 𝒏 is an odd integer, then 𝟓𝒏 + 𝟑 is an even integer.
Proof : Assume that 𝑛 is an odd integer, then 𝑛 = 2𝑘 + 1 for 𝑘 ∈ ℤ
Then, 5𝑛 + 3
= 5(2𝑘 + 1) + 3
= 10𝑘 + 8
= 2(5𝑘 + 4)
= 2𝑚, where 𝑚 = (5𝑘 + 4) ∈ ℤ
It follows that 5𝑛 + 3 is an even integer when 𝑛 is an odd integer.
Theorem 2 : If 𝒏 is an odd integer, then 𝟒𝒏 𝟑 + 𝟐𝒏 − 𝟏 is odd.
Proof : Assume that 𝑛 is odd. So, 𝑛 = 2𝑘 + 1 for 𝑘 ∈ ℤ
Then, 4𝑛3 + 2𝑛 − 1
= 4(2𝑘 + 1)3 + 2(2𝑘 + 1) − 1
= 4(4𝑘3 + 12𝑘2 + 6𝑘 + 1) + 4𝑘 + 2
= 16𝑘3 + 48𝑘2 + 28𝑘 + 5
3. = 2(8𝑘3 + 24𝑘2 + 14𝑘 + 2) + 1
= 2𝑚 + 1, where 𝑚 = (8𝑘3 + 24𝑘2 + 14𝑘 + 2) ∈ ℤ
It follows that 4𝑛3 + 2𝑛 − 1 is odd when 𝑛 is an odd integers.
2. Proof by Contradiction
The proof by contradiction is grounded in the fact that any preposition must be either true or
false, but not both true and false at the same time.We arrive at a contradiction when we are able
to demonstrate that a statement is both simultaneously true and false.
The method of proof by contradiction.
- Assume that 𝑃 is true
- Assume that ¬𝑄 is true
- Use that 𝑃 and ¬𝑄 to demonstrate a contradiction
*Example :
Theorem 1 : Showthat if x is a prime number not equal to 3, then
𝒙
𝟑
is not an integer.
Proof : Assume that
𝑥
3
is an integer.
Then,
𝑥
3
= 𝑛
𝑥 = 3𝑛.
This cannot be true, because if 𝑥 is prime, then 3 cannot be a factor of 𝑥 as shown in the equation
𝑥 = 3𝑛. By contradiction,
𝑥
3
is not an integer.
Theorem 2 : √ 𝟐 is an irrational number.
Proof : Let us assume that √2 is not an irrational number. Then √2 is a rational number, so we
can write,
√2 =
𝑎
𝑏
Where 𝑎 and 𝑏 are integers and 𝑏 ≠ 0. Moreover, we may assume that the fraction
𝑎
𝑏
is in the
lowest term, that is 𝑎 and 𝑏 have no common factors other than 1. (If 𝑎 and 𝑏 have common
factors other than 1, then we can cancelthose common factors and get the fraction in which the
numerator and denominator has no common factors other than 1).
So,
√2 =
𝑎
𝑏
4. → (√2)2 = (
𝑎
𝑏
)2
→ 2 =
𝑎2
𝑏2
→ 𝑎2 = 2𝑏2
→ 𝑎2 is an even integers
Because 𝑎2is an even integer, we must have a an even integer.Therefore, we can write 𝑎 = 2𝑛 for
some integer 𝑛. This implies that 𝑎2 = 4𝑛2. We now subtitute this value of 𝑎2 into 𝑎2 = 2𝑏2 to
obtain
𝑎2 = 2𝑏2 = 4𝑛2
This implies that,
𝑏2 = 2𝑛2
And so 𝑏2 is even. We can now conclude that 𝑏 is even. Thus, we have proved that both 𝑎 and 𝑏
are even and so have 2 as a common factors. This contridacts our assumption that 𝑎 and 𝑏 have
no common factors other than 1. We have now arrivedat a contradiction. Consequently, we can
conclude that √2 is an irrational number.
3. Proof by contrapositive
The statement 𝑃 → 𝑄 is equivalent to ¬𝑄 → ¬𝑃
- Assume ¬𝑄 is true
- Show that ¬𝑃 must be true
- Observe that 𝑃 → 𝑄 by contraposition
Proof by contrapositive can be an effective approach when a traditional irect proof is tricky, or it
can be a different way to think about the substance of a problem.
*Example :
Theorem 1 : Let 𝒙 ∈ ℤ. Then 𝟏𝟏𝒙 − 𝟕is even if 𝒙 is odd.
Proof : Assume that 𝑥 is even. Then 𝑥 = 2𝑘 for some 𝑘 ∈ ℤ
Now, 11𝑥 − 7
=11(2𝑘) − 7
=22𝑘 − 7
=2(11𝑘 − 4) + 1
5. =2𝑝 + 1, where 𝑝 = 11𝑘 − 4 ∈ ℤ
Hence 11𝑘 − 7 is odd. Therefore if 11𝑥 − 7 is even then 𝑥 is odd is true by the technique of
proof by contrapositive.
Theorem 2 : Let 𝒙 ∈ ℤ. Then 𝒙 𝟐is even if 𝒙 is even.
Proof : Assume that 𝑥 is odd. Then 𝑥 = 2𝑘 + 1 for some 𝑘 ∈ ℤ
Now, 𝑥2 = (2𝑘 + 1)2
= 4𝑘2 + 4𝑘 + 1
= 2(2𝑘2 + 2) + 1
= 2𝑚 + 1, where 𝑚 = 2𝑘2 + 2 ∈ ℤ
Hence 𝑥2is odd. Therefor if 𝑥2is even then 𝑥 is even is true by the techniques of proof by
contrapositive.
4. Proof by cases
Sometimes it’s hard to prove the whole theorem at once so you split the proof into several cases,
and prove the theorem separately for each case.
Definition:
- Two integers 𝑥 and 𝑦 are of the same parity if 𝑥 and 𝑦 are both even or both odd
- Two integers 𝑥 and 𝑦 are of opposite parity if 𝑥 is even and 𝑦 is odd, or 𝑥 is odd and 𝑦 is
even.
*Example :
Theorem 1: Let 𝒙, 𝒚 ∈ ℤ. Then 𝒙 and 𝒚 are ofthe same parity if 𝒙 + 𝒚 is an even.
Proof strategy : There are two implications to prove here :
1). If 𝑥 and 𝑦 are of the same parity then 𝑥 + 𝑦 is an even.
2). If 𝑥 + 𝑦 is an even then 𝑥 and 𝑦 are of the same parity.
Proof 1: Assume that 𝑥 and 𝑦 are of the same parity. Consider two cases.
Case 1, 𝑥 and 𝑦 both even.
Then, 𝑥 = 2𝑘, 𝑦 = 2𝑙 for some 𝑘, 𝑙 ∈ ℤ.
So, 𝑥 + 𝑦
=2𝑘 + 2𝑙
=2( 𝑘 + 𝑙)
6. =2𝑝, where 𝑝 = 𝑘 + 𝑙 ∈ ℤ.
Therefore, 𝑥 + 𝑦 is even.
Case 2, x and y both odd.
Then, 𝑥 = 2𝑘 + 1, 𝑦 = 2𝑙 + 1 for some 𝑘, 𝑙 ∈ ℤ.
So, 𝑥 + 𝑦
=2𝑘 + 1 + 2𝑙 + 1
=2( 𝑘 + 𝑙 + 1)
=2𝑞, where 𝑞 = 𝑘 + 𝑙 + 1 ∈ ℤ.
Therefore, 𝑥 + 𝑦 is even.
Theorem 2 : Let 𝒙, 𝒚 ∈ ℤ. Then 𝒙 and 𝒚 are ofthe opposite parity if 𝒙 + 𝒚 is an odd.
Proof :Assume that 𝑥 and 𝑦 are of opposite parity. Consider two cases.
Case 1, 𝑥 is even and 𝑦 is odd.
Then 𝑥 = 2𝑘, 𝑦 = 2𝑙 + 1 for some 𝑘, 𝑙 ∈ ℤ.
So, 𝑥 + 𝑦
= 2𝑘 + 2𝑙 + 1
= 2( 𝑘 + 𝑙) + 1
= 2𝑚 + 1, where 𝑚 = (𝑘 + 𝑙) ∈ ℤ.
Hence, 𝑥 + 𝑦 is odd.
Case 2, 𝑥 is odd and 𝑦 is even.
Then, 𝑥 = 2𝑘 + 1, 𝑦 = 2𝑙 for some 𝑘, 𝑙 ∈ ℤ.
So, 𝑥 + 𝑦
= 2𝑘 + 1 + 2𝑙
= 2( 𝑘 + 𝑙) + 1
= 2𝑛 + 1, where 𝑛 = (𝑘 + 𝑙) ∈ ℤ.
Hence, 𝑥 + 𝑦 is odd.