Definition of first order infinitesimal using equivalence class

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In summary, a first order infinitesimal can be defined using equivalence classes of sequences. Specifically, a quantity is considered a first order infinitesimal if it converges to zero faster than any non-zero real number as the sequence progresses. This concept relies on the idea of equivalence classes, where two sequences are deemed equivalent if their difference converges to zero, allowing for a rigorous formulation of infinitesimals within a mathematical framework.
  • #1
Mike_bb
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Hello!

I'm studying Synthetic Differential Geometry and I read about model construction of SDG.
I found such source: http://www.iam.fmph.uniba.sk/amuc/_vol-73/_no_2/_giordano/giordano.pdf

I have questions about extension R to *R and about definition of first order infinitesimal using equivalence classes.
1.) I can't understand how "the class generated by h(t)=t could be a first order infinitesimal number" (see below). How is it possible? How does it work? What is idea of this?

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2.) How is it possible to define D using the condition of limsup? How did author prove that D is an ideal of *R using properties of limsup? I can't understand it.
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Thanks!!
 
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To prove its an ideal of a ring you need two things. It's closed under addition, and multiplying an element of the ideal by any element of the ring gives an element of the ideal. h and k are ideal elements and x is an arbitrary ring element in the proof
 
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  • #3
Office_Shredder said:
To prove its an ideal of a ring you need two things. It's closed under addition, and multiplying an element of the ideal by any element of the ring gives an element of the ideal. h and k are ideal elements and x is an arbitrary ring element in the proof
Thanks. What do you think about "the class generated by h(t)=t could be a first order infinitesimal number"? Does it mean that h(t)=t is infinitesimal function (t->0)?
 
  • #4
Really it just means ##h(t)=t## is an element of ##D##. They're just trying to describe in words the math that is about to come
 
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FAQ: Definition of first order infinitesimal using equivalence class

What is a first order infinitesimal?

A first order infinitesimal is a quantity that is smaller than any positive real number but is not zero. In the context of calculus and analysis, it represents an infinitesimally small change in a variable, often denoted as dx or dy, that can be used to approximate the behavior of functions near a point.

How is the concept of equivalence classes related to first order infinitesimals?

Equivalence classes are used to group first order infinitesimals based on their behavior under certain mathematical operations. Two infinitesimals are considered equivalent if they yield the same limit when divided by a non-infinitesimal quantity. This allows mathematicians to work with infinitesimals in a rigorous way, treating them as representatives of their equivalence classes.

Why are first order infinitesimals important in calculus?

First order infinitesimals are fundamental in the development of calculus, particularly in the formulation of derivatives and integrals. They provide a way to understand instantaneous rates of change and the accumulation of quantities, forming the basis for the formal definitions of limits, continuity, and differentiability.

How do first order infinitesimals differ from higher order infinitesimals?

First order infinitesimals are the smallest non-zero quantities in a given context, while higher order infinitesimals are smaller than first order infinitesimals. For example, a second order infinitesimal is one that is the square of a first order infinitesimal, meaning it approaches zero faster than a first order infinitesimal as the variable approaches a limit.

Can first order infinitesimals be used in real analysis?

Yes, first order infinitesimals can be used in real analysis, particularly in non-standard analysis, which extends the standard framework of calculus to include infinitesimals. This approach allows for a more intuitive understanding of limits and continuity, providing alternative methods for proving theorems and solving problems in analysis.

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