Ang aking kontrata: Ako, si , ay nangangakong magsisipag mag
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Ang aking kontrata: Ako, si , ay nangangakong magsisipag mag
Ang aking kontrata: Ako, si ______________, ay nangangakong magsisipag mag-aral hindi lang para sa aking sarili kundi para rin sa aking pamilya, para sa aking bayang Pilipinas at para sa ikauunlad ng mundo. Rings and Fields Ring Given a non-empty set S and two operation, say * and on S , the mathematical system S ,*, is a ring if 1. S ,* is an abelian group. 2. S is closed under . 3. 4. a (ᴑ is also a binary operation on S.) is associative in S. b * c a b * a c , for any a,b, c S. Ring EXAMPLE: * and can be the usual addition and multiplication. e.g. [ R, ,] Commutative Ring If the second operation is commutative in the set S , then S ,*, is called a commutative ring. Verify that , , is a commutative ring. Example Is the mathematical system Q, , a commutative ring? Is Q closed in +? Is + associative in Q ? What is the identity element under +? Are there additive inverses? Is + commutative in Q ? Hence, Q , is an Abelian group. Q , is an Abelian group. Is Q closed under ? Is associative in Q ? Is distributive over +? Is commutative in Q ? Thus, Q , , is a commutative ring. QUESTIONS: Is there a multiplicative identity in Q ? Is there a multiplicative inverse for each nonzero element of Q ? Properties of [Q,+,×] Q , , is a commutative ring. There is a multiplicative identity in Q. There is a multiplicative inverse for each nonzero element of Q. [Q,+,×] is a FIELD! Field A mathematical system F , , satisfying the following conditions is a field. 1. F , , is a commutative ring. 2. There is an identity element for . 3. Every nonzero elements of F has an inverse under . Field Q , , is the smallest field contained in R. R, , is a field. Summary Closed Under Addition Addition is Associative Group Abelian Group Closed Under Multiplication Field Commutative Ring Multiplication is Associative Multiplicative Identity Distributivity Multiplicative Inverses Multiplication is Commutative Addition is Commutative Additive Identity Additive Inverses Note RINGS FIELDS Some Theorems Theorems Theorem 1. The Cancellation Law for Addition For a,b, c R, if a c b c, then a b. The proof of the first theorem will be provided in the next slide. The proofs for the other theorems are left as exercises. Try proving them at home! If a c b c, then a b. Proof of Theorem 1. ac bc Given a c c b c c a c c b c c APE Associativity a0 b0 Existence of + inverses a b Existence of + identity Theorems Theorem 2. Zero Property For a R, a 0 0. Theorem 3. For any a,b R, a b a b Corollary 4. For any a R, 1 a a Theorems Corollary 5. 1 1 1 Theorem 6. For any a,b R, a b a b Theorem 7. For any a,b R, a b a b Theorems Theorem 8. For any a,b R, there is a unique solution to the equation a x b. Remark: The unique solution for a x b is x b a . Theorems Theorem 9. The Cancellation Law for Multiplication For any a,b R and any nonzero number c, if a c b c, then a b. Try to prove this theorem at home! Theorems Theorem 10. If a,b R such that a b 0, then either a 0 or b 0. Remark: This theorem can be used when solving equations of the form x a x b 0. Theorems Theorem 11. If a,b are nonzero real numbers, 1 1 1 a b a b Theorems Theorem 12. For any number b and any nonzero number a, there is a unique solution to the equation a x b. Remark: The solution for the equation a x b ? 1 x b a Theorems b Theorem 13. For any number b, b. 1 Theorem 14. If c is any nonzero real c number then 1. c b d bd Theorem 15. , a 0, c 0. a c ac Theorems Theorem 16. If c is any nonzero real a c a number, . bc b b d Theorem 17. If then b d and a a b d if then b c a d, a c a 0, c 0. Theorems b 1 a Theorem 18. If 0, then . b a b a d b da c d a Theorem 19. If 0, then . c b c b b a a Theorems b b b b b Theorem 20. and , a 0. a a a a a b d bd Theorem 21. , a0 a a a b d bc a d Theorem 22. , a 0, c 0 a c a c WARNING!!! b d bd a c ac Remark: Division by 0 is undefined. Why? We know that ax b if and only if x b . a b If a 0 then x which means (0)x b. 0 Case 1: Suppose b 0. Then there is no value for b that satisfies (0)x b since (0)x 0. Case 2: Suppose b 0. Then (0)x 0 is true 0 but x can be any real number. So x is indeterminate. 0 Examples Perform the indicated operations. 1. 2 5 25 10 52 5 3 12 3 12 36 18 2 18 4 2. 3. 4. 20 5 4 25 100 1 20 5 100 25 2 3 23 5 1 5 5 5 5 2 4 2 5 3 4 22 7 or 1 3 5 35 15 15 The Geometry of R 1 Trichotomy Axiom For any a,b R, one and only one of the following holds: a b a b ba 2 Transitivity Axiom of Order If a,b, c R and if a b and b c, then a c. 3 Addition Property of Inequality (API) If a,b, c R and if a b then a c b c. 4 Multiplication Property of Inequality (MPI) If a,b, c R and if a b and 0 c then a c b c. Since the set of real numbers can be ordered, that is, the 4 order axioms are satisfied, then we say R is an ordered field. Other Notations a b : a b or a b a b : a b or a b a x b : a x and x b a x b : a x and x b a x b : a x and x b a x b : a x and x b Example Determine if the following statements are ALWAYS TRUE or ALWAYS FALSE. Justify your answers. 1. 3 If 2x 3, then x 2 2 TRUE 2. aa 3. If a and b are positive and a b then a 2 b2 . FALSE. Why? TRUE Theorems Theorem 23. The set of positive real numbers is closed under addition and multiplication. If a 0 and b 0, then a b 0 and a b 0. Theorems Theorem 24. If a 0, then a 0 and if a 0, then a 0 Theorem 25. If a b, then a b. 2 Theorem 26. If a R, either a 0 2 or a 0. Theorems Theorem 27. 1 0. Theorem 28. If a,b, c R and a b and c 0, then ac bc. Remark: If a b then a(0) b(0) (a(0) b(0) is acceptable). Theorems Theorem 29. 1 If a 0, then 0 a Theorem 30. 1 1 If 0 a b, then 0 . b a Theorems Theorem 31. a b If a b, then a b. 2 a b ( is the arithmetic mean of a and b) 2 Theorem 32. If a b, then a ab b. ( ab is the geometric mean of a and b) Example Solve the following inequalities. 1. 3x 6 1 1 3x 6 3 3 1 1 3 3 x 3 6 1 1 x 6 3 1 x 6 3 x 2 Example Solve the following inequalities. 2. 3. 4. 5. 8 5 3x 11 2 x 0 2 x 0 2 x 1 RECALL: There is a one-to-one correspondence between the set of real numbers and the set of points on a line. We choose an arbitrary point to correspond to the number 0. To the right of 0, we place the positive real numbers while the negative real numbers are placed to the left of 0. Definition. If x1 and x2 are points on the real number line, the distance d(x1, x2) between them, is given by 2 ( x x ) d(x1, x2) 2 1 Example If the points A and B have the given coordinates respectively, find the distance between them : 1. 3, 7 2 4 2. , 3 5 3. 2, 5 Definition. Absolute Value of a Number The absolute value of a number x is defined as | x | x , if x > 0 2 x x , if x < 0 0, if x = 0 With this definition, it follows that the distance d(x1, x2) = |x2 – x1|=|x1 – x2| is always non-negative as expected. Theorem 33. For any a R, -|a| a |a|. Theorem 34. For any a, b R, |ab| = |a||b| and |a/b| = |a|/|b|, b ≠ 0 Theorem 35. The Triangle Inequality For any a, b R, |a + b| |a| + |b|. SETS IN INTERVAL NOTATION Open Intervals The solution set to the inequality will be written as This is the open interval from a to b. a b ( a , b) { x |a x b } SETS IN INTERVAL NOTATION Closed Intervals The solution set to the inequality will be denoted as This is the closed interval from a to b. a b [ a , b] { x |a x b } SETS IN INTERVAL NOTATION Other Notations [ a , b) (b, a ] a b ( , a ) ( , a ] ( a, ) a [ a, ) ( , ) R Remember that these intervals are SETS! Example Write the solution set to the following inequalities as intervals and identify them on a number line. 1. a x b 2. a x b 5. x R 3. x b 4. x a 7. x 1, 2 2, 1 8. x 0, 3 1, 4.5 6. x 2 or x 2 Example Give a geometric interpretation of the following statements and find the solution : 1. x 5 2. x – 2 3 3. x 3 4. x 3 5. x – 1 2 5,5 1,5 3,3 ,3 3, 1,3 Solution : Upper Bound Definition The number u is called an upper bound of a set S if x u, for all x S. Example: Give upper bounds for the following sets. 1. 7,3,1,2,9,0 Upper bounds: 10,11,12.5,9 Real Numbers 9. 2. 1 1 1, , ,... 2 3 Upper bounds: Real Numbers 1 Example 3. 1 5 x x 2 2 5 Real Numbers 2 Upper bounds: 4. x x 1 or x 1 Upper bounds: 5. 1 y y N, y 2 Upper bounds: No upper bound 9 2 Real Numbers 4 Lower Bound Definition The number v is called a lower bound of a set S if x v, for all x S. Example Give lower bounds for the following sets. 1. 7,3,1,2,9,0 Lower bounds: 0, 0.5, 100 Numbers 0. 2. 1 1 1, , ,... 2 3 Lower bounds: 0, 0.5, 100 Numbers 0. Example 3. 1 5 x x 2 2 1 Numbers 2 Lower bounds: 4. x x 1 or x 1 Lower bounds: 5. 1 y y N, y 2 Lower bounds: No lower bound 9 2 Numbers 1 Least Upper Bound (lub) Definition An upper bound b of a set S is the least upper bound if no upper bound is less than b. Greatest Lower Bound (glb) Definition A lower bound a of a set S is the greatest lower bound if no lower bound is greater than a. Example Identify the lub and glb of the following. 1. 2. 7,3,1,2,9,0 lub : 9 glb : 0 1 1 1, , ,... 2 3 lub : 1 glb : 0 Example 3. 4. 1 5 x x 2 2 5 lub: 2 glb : none glb : 1 x x 1 or x 1 lub: 5. glb : 1 2 none 1 y y N, y 2 lub: 4 9 2 Completeness Axiom Every subset S of R that has an upper bound has an lub in R. Similarly, every subset S of R that has a lower bound has a glb in R. To illustrate the use of the Axiom, consider the set S = {x| x 0, x is rational, and x2 < 2}. Finding GLB: This set has 0 as its greatest lower bound. Finding LUB: It is bounded above. (Show this!) Hence, by the Completeness Axiom, there must be a least upper bound. The least upper bound is _____ , which is not an element of the set. THEREFORE, S in not complete! Time to think! Using the Completeness Axiom, show that Z+, the set of all positive integers has no upper bound. The Completeness Axiom guarantees that our real number line has no gaps in it, that is, between any two real number, there is another real number. (The density property is a consequence of the Completeness Axiom) Complete Ordered Field R, , is a complete ordered field.