Inductive Reasoning: Si to Sn & i→∞

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In summary, the conversation discusses the truth of a statement for natural numbers and whether it can be extended to the infinite case. It touches on the countability of cartesian products and the limitations of using induction to prove the truth of a statement in the infinite case. The speaker also raises the issue of defining the concept of a limit in order to reason precisely about it.
  • #1
Gear300
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Considering that the truth of Si implies the truth of Si+1, i ε natural numbers, then starting from the truth of S1, one can state the truth of Sn, n being any natural number. I was wondering whether we can make any statement as i→∞, such that the limSi as i → ∞ is also true?
 
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  • #2
Gear300 said:
as i→∞, such that the limSi as i → ∞ is also true?

I'm tempted to say "No" immediately because one interpretation of what you mean is "if a statement is true for any given natural number then it is true for the entire set of natural numbers". That wouldn't be valid reasoning. For example: S_i = "There is a natural number greater than i" versus "There is a natural number greater than any number in the set of natural numbers".

What you said mentions: " [itex] lim_{n \rightarrow \infty} S_i" [/itex] and you didn't define what this means. If we take "1" as representing "true" and interpret the limit as a the limit of a numerical sequence, then the limit is 1. But that is a different interpretation than in the previous paragraph.
 
  • #3
If we were to check the countability of the cartesian product between two countable sets, A = {a1, a2, a3, ...} and P = {p1, p2, p3, ...}, the resultant set should be countable: If were to consider
{(a1,p1), (a1,p2), (a1,p3), ...} = M1
{(a2,p1), (a2,p2), (a2,p3), ...} = M2
{(a3,p1), (a3,p2), (a3,p3), ...} = M3
... ... ... ... ... ... ... ... ... ... ... ... ...
Taking the union of all the Mi's results in taking the union of a countable number of countable sets, and so the cartesian product A x P is countable. From this reasoning, we could say that for N = set of natural numbers, Nn for some finite n is countable:
Ni x N = Ni+1
N1 x N = N2 ---> since N is countable, so is N2
N2 x N = N3 ---> since N2 is countable, so is N3, and so forth.
However, if we were to continue this for Nn as n→∞ (an infinite dimensional space), the countability is arguable (I initially thought that it would be countable by inductive reasoning):
Consider the set of real numbers [0,1). This set has power c of the real numbers. We can write each number as some decimal expansion 0.a1a2a3...
We can map these numbers into the infinite dimensional case of Nn by making the correspondence 0.a1a2a3... → (a1,a2,a3,...). [0,1) would then be mapped to a proper subset of Nn (since each decimal place is bounded between 0 and 9, and forms ending in 99999... converge to some other form). Therefore Nn can not be countable for the infinite dimensional case.
I had thought that induction implied that you could apply the condition on Si onto limSi as i → ∞, so I am unsure of whether there is a flaw in this proof somewhere.
 
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  • #4
However, if we were to continue this for Nn as n→∞

That phrase has an intuitive appeal, but to reason precisely about it you have to give it a precise definition. What does it mean? After all, we can say that the limit of a numerical sequence is the result of "continuing a process to infinity", but you can't reliably use that definition in proofs. You have to use the epsilon-delta definition.
 
  • #5


Inductive reasoning is a powerful tool in the scientific method, as it allows us to make generalizations and predictions based on observed patterns. In this case, the content suggests that if Si is true, then Si+1 will also be true, and this pattern continues for all natural numbers. This is a valid use of inductive reasoning, as it is based on a logical progression and can be tested and verified.

However, when considering the limit as i approaches infinity, we must be cautious. While it may seem intuitive to assume that the pattern will continue indefinitely, this is not always the case. There could be factors or variables that we are not considering, which could change the outcome as i approaches infinity.

Therefore, while we can make a statement about Si being true for all natural numbers, we cannot make a definitive statement about the limit of Si as i approaches infinity being true. It is important to continue testing and gathering evidence to support this conclusion, rather than assuming it to be true based solely on inductive reasoning.
 

FAQ: Inductive Reasoning: Si to Sn & i→∞

What is inductive reasoning?

Inductive reasoning is a type of logical reasoning that involves making generalizations based on specific observations or patterns. It is often used in scientific research to develop theories and hypotheses.

What is the difference between Si to Sn and i→∞ in inductive reasoning?

Si to Sn refers to a finite sequence of observations or instances, while i→∞ refers to an infinite sequence. In other words, Si to Sn involves drawing conclusions based on a limited number of examples, while i→∞ involves drawing conclusions based on an infinite number of examples.

How is inductive reasoning used in scientific research?

Inductive reasoning is used in scientific research to identify patterns and trends in data, and to make generalizations or predictions based on those patterns. It is an important tool for developing theories and hypotheses that can be tested through further research.

What are some limitations of inductive reasoning?

One limitation of inductive reasoning is that it does not provide absolute certainty. Conclusions drawn through inductive reasoning are based on probability and can be affected by biases or flaws in the observations. Additionally, inductive reasoning can only be used to make predictions within a specific context and cannot be applied to all situations.

How does inductive reasoning differ from deductive reasoning?

Deductive reasoning involves starting with a general principle or theory and using it to make predictions or draw conclusions about specific instances. Inductive reasoning, on the other hand, involves starting with specific observations or instances and using them to make generalizations or predictions. While deductive reasoning aims for certainty, inductive reasoning allows for uncertainty and revision of theories based on new evidence.

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