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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 1 Addition of Integers Example: Add a = (1110) 2 and b = (1011) 2. a 0 + b 0 = 0 + 1 = 0 2 + 1, so that c 0 = 0 and s 0 = 1. a 1 + b 1 + c 0 = 1 + 1 + 0 = 1 2 + 0, so c 1 = 1 and s 1 = 0. a 2 + b 2 + c 1 = 1 + 0 + 1 = 1 2 + 0, so c 2 = 1 and s 2 = 0. a 3 + b 3 + c 2 = 1 + 1 + 1 = 1 2 + 1, so c 3 = 1 and s 3 = 1. s 4 = c 3 = 1. Therefore, s = a + b = (11001) 2.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 2 Addition of Integers procedure add(a, b: positive integers) c := 0 for j := 0 to n-1 {larger integer (a or b) has n digits} begin d := (a j + b j + c)/2 s j := a j + b j + c – 2d c := d end s n := c {the binary expansion of the sum is (s n s n-1 …s 1 s 0 ) 2 }

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 3Matrices A matrix is a rectangular array of numbers. A matrix with m rows and n columns is called an m n matrix. Example: is a 3 2 matrix. A matrix with the same number of rows and columns is called square. Two matrices are equal if they have the same number of rows and columns and the corresponding entries in every position are equal.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 4Matrices A general description of an m n matrix A = [a ij ]: i-th row of A j-th column of A

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 5 Matrix Addition Let A = [a ij ] and B = [b ij ] be m n matrices. The sum of A and B, denoted by A+B, is the m n matrix that has a ij + b ij as its (i, j)th element. In other words, A+B = [a ij + b ij ]. Example:

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 6 Matrix Multiplication Let A be an m k matrix and B be a k n matrix. The product of A and B, denoted by AB, is the m n matrix with (i, j)th entry equal to the sum of the products of the corresponding elements from the i-th row of A and the j-th column of B. In other words, if AB = [c ij ], then

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 7 Matrix Multiplication A more intuitive description of calculating C = AB: - Take the first column of B - Turn it counterclockwise by 90 and superimpose it on the first row of A - Multiply corresponding entries in A and B and add the products: 3 2 + 0 0 + 1 3 = 9 - Enter the result in the upper-left corner of C

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 8 Matrix Multiplication - Now superimpose the first column of B on the second, third, …, m-th row of A to obtain the entries in the first column of C (same order). - Then repeat this procedure with the second, third, …, n-th column of B, to obtain to obtain the remaining columns in C (same order). - After completing this algorithm, the new matrix C contains the product AB.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 9 Matrix Multiplication Let us calculate the complete matrix C: 9 8 15 -2 7 15 20 -2

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 10 Identity Matrices The identity matrix of order n is the n n matrix I n = [ ij ], where ij = 1 if i = j and ij = 0 if i j: Multiplying an m n matrix A by an identity matrix of appropriate size does not change this matrix: AI n = I m A = A

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 11 Powers and Transposes of Matrices The power function can be defined for square matrices. If A is an n n matrix, we have: A 0 = I n, A r = AAA…A (r times the letter A) The transpose of an m n matrix A = [a ij ], denoted by A t, is the n m matrix obtained by interchanging the rows and columns of A. In other words, if A t = [b ij ], then b ij = a ji for i = 1, 2, …, n and j = 1, 2, …, m.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 12 Powers and Transposes of Matrices Example: A square matrix A is called symmetric if A = A t. Thus A = [a ij ] is symmetric if a ij = a ji for all i = 1, 2, …, n and j = 1, 2, …, n. A is symmetric, B is not.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 13 Zero-One Matrices A matrix with entries that are either 0 or 1 is called a zero-one matrix. Zero-one matrices are often used like a “table” to represent discrete structures. We can define Boolean operations on the entries in zero-one matrices: ab abababab 000 010 100 111ab abababab000 011 101 111

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 14 Zero-One Matrices Let A = [a ij ] and B = [b ij ] be m n zero-one matrices. Then the join of A and B is the zero-one matrix with (i, j)th entry a ij b ij. The join of A and B is denoted by A B. The meet of A and B is the zero-one matrix with (i, j)th entry a ij b ij. The meet of A and B is denoted by A B.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 15 Zero-One Matrices Example: Join: Meet:

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 16 Zero-One Matrices Let A = [a ij ] be an m k zero-one matrix and B = [b ij ] be a k n zero-one matrix. Then the Boolean product of A and B, denoted by A B, is the m n matrix with (i, j)th entry [c ij ], where c ij = (a i1 b 1j ) (a i2 b 2i ) … (a ik b kj ). Note that the actual Boolean product symbol has a dot in its center. Basically, Boolean multiplication works like the multiplication of matrices, but with computing instead of the product and instead of the sum.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 17 Zero-One Matrices Example:

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 18 Zero-One Matrices Let A be a square zero-one matrix and r be a positive integer. The r-th Boolean power of A is the Boolean product of r factors of A. The r-th Boolean power of A is denoted by A [r]. A [0] = I n, A [r] = A A … A (r times the letter A)

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 19 Let’s proceed to… Mathematical Reasoning

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 20 Mathematical Reasoning We need mathematical reasoning to determine whether a mathematical argument is correct or incorrect and determine whether a mathematical argument is correct or incorrect and construct mathematical arguments. construct mathematical arguments. Mathematical reasoning is not only important for conducting proofs and program verification, but also for artificial intelligence systems (drawing inferences).

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 21Terminology An axiom is a basic assumption about mathematical structures that needs no proof. We can use a proof to demonstrate that a particular statement is true. A proof consists of a sequence of statements that form an argument. The steps that connect the statements in such a sequence are the rules of inference. Cases of incorrect reasoning are called fallacies. A theorem is a statement that can be shown to be true.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 22Terminology A lemma is a simple theorem used as an intermediate result in the proof of another theorem. A corollary is a proposition that follows directly from a theorem that has been proved. A conjecture is a statement whose truth value is unknown. Once it is proven, it becomes a theorem.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 23 Rules of Inference Rules of inference provide the justification of the steps used in a proof. One important rule is called modus ponens or the law of detachment. It is based on the tautology (p (p q)) q. We write it in the following way: p p q ____ q q q q The two hypotheses p and p q are written in a column, and the conclusion below a bar, where means “therefore”.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 24 Rules of Inference The general form of a rule of inference is: p 1 p 1 p 2 p 2... p n p n____ q q q q The rule states that if p 1 and p 2 and … and p n are all true, then q is true as well. These rules of inference can be used in any mathematical argument and do not require any proof.

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February 26, 2015Applied Discrete Mathematics Week 5: Mathematical Reasoning 25 Rules of Inference p_____ pq pq pq pq Addition pq pq pq pq_____ p p p p Simplification p q_____ pq pq pq pq Conjunction q q q q pq pq pq pq_____ p p p p Modus tollens pq pq pq pq qr qr qr qr_____ pr pr pr pr Hypothetical syllogism pq pq pq pq p p p p_____ q q q q Disjunctive syllogism

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If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.

If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.

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