1.2    REASONING MATHEMATICALLY

 

1.2.1       Inductive reasoning : uses information from specific examples to draw a general conclusion

 

Example. On Monday you observe your neighbor walking her dog at 7:05 AM, on Tuesday at 6:55 AM, on Wednesday at 7:00 AM, on Thursday at 7:03 AM. You conclude that your neighbor probably walks the dog about 7 AM every morning. So, the generalization has been formed from a series of specific examples of times the neighbor walked her dog.

A generalization is the general conclusion formed from the specific examples.

 

1.2.1.1 Saturday morning you see your neighbor walking the dog at 10 AM. This contradicts your earlier observations. This contradiction is

            called a counterexample.

 

1.2.1.2    Studying patterns reveals much vital information in many areas. In fact, mathematics has been called the science of studying patterns.

 

1.2.1.3    Sequences are patterns involving ordered sets of numbers.

 

Examples.    1, 3, 5, 7, … might be labeled the odd numbers and is easily extended. Upon closer examination, we find that each term

can be found by adding 2 to the preceding term. When the same number is added to/subtracted from the preceding term to obtain the next term, this number is called the common difference. The sequence is called an arithmetic sequence.

 

2, 5, 8, 11, … is another example of an arithmetic sequence whose common difference is 3.

 

3, 9, 27, 81, … is a sequence obtained by multiplying the preceding term by 3; the fixed number, 3 in this case, is called

the common ratio and the sequence is called a geometric sequence.

 

1, 1, 2, 3, 5, 8, …is called the Fibonacci sequence because it has neither a common difference or common ratio. What

is the pattern for generating this sequence? The numbers in the sequence can be found in nature---pinecones, pineapples, flower petals, sea shells, etc.

 

4, 7, 11, 18, 29, 47, …is a Fibonacci-like sequence. Why?

             

 

1.2.2       Deductive reasoning: drawing conclusions from given true statements using logic rules

 

1.2.2.1  If – then statements are called conditionals. The IF – part of the statement is called the hypothesis and the THEN – part is called the

conclusion.

 

Example.   If today is Tuesday (hypothesis), then MATH 3315 meets in KH1105 (conclusion).

 

In most cases, when looking at logic tables (e.g. p. 25), the hypothesis is p while the conclusion is q.

 

1.2.2.2Rules of Logic. There are two rules of logic that we will consider and apply to conditional statements. When working with these rules,

it is usual to have a conditional statement that is considered to be true as well as a paired statement of what happens

in the situation of the conditional. On these two statements then, we can make a decision in the situation.

 

If a yellow flag is waved over the racetrack, then a caution is in force. A yellow flag is waved over the racetrack.

 

Decision: A caution is in force.

 

“A yellow flag is waved over the racetrack  affirms the hypothesis and this means the conclusion is true, which is the decision from the conditional and its paired statement.  Affirming the hypothesis applies logic rule A.

 

If a yellow flag is waved over the racetrack, then a caution is in force. A caution is not in force now.

 

Decision: A yellow flag was not waved over the racetrack.

 

“A caution is not in force now” denies the conclusion and this means the hypothesis is false, which is the decision from the conditional and its paired statement. Denying the conclusion applies logic rule B.

 

Suppose the paired statement said, “A yellow flag was not waved over the racetrack.”  This statement would deny the hypothesis and make the conclusion false. The statement that falls from this is the inverse of the original. So, to draw a conclusion from these statements is invalid reasoning because it assumes the inverse. Likewise, to affirm the conclusion leads to invalid reasoning because it assumes the converse.

 

 

1.2.2.3  IFF.  iff” is symbolic for if and only if, and this phrase or symbol signifies a very strong statement because it means that both the

hypothesis AND conclusion are true.

 

 

The dog is brown with tiger strips if and only if the dog’s name is Stormy.

                True                                                                                                    True

 

The equivalent to this statement is two if – then statements.  OR

 

If the dog is brown with tiger stripes, then the dog’s name is Stormy.

If the dog’s name is Stormy, then the dog is brown with tiger stripes.

 

Notice that the two statements are an original and its converse.

 

 

1.2.2.4   Logical “and”; Logical “or”.  The “and or  “or” occurs in the hypothesis of the conditional statement.

 

 

If Sam feeds the dog or takes out the garbage, then Sam can ride his bike.

 

This statement means that Sam can ride his bike if he completes one, but not both, of the chores given in the conditional.

 

 

If Sam feeds the dog and takes out the garbage, then Sam can ride his bike.

 

This statement means that Sam can ride his bike if he completes both of the chores given in the conditional.