Difference between linear and nonlinear transformation

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SUMMARY

The discussion clarifies the distinction between linear and nonlinear transformations, emphasizing that linear transformations are defined by their adherence to linearity conditions: T(x+y)=T(x)+T(y) and T(ax)=aT(x). It is established that linear transformations do not have to be one-to-one, as exemplified by projections, which are linear but not injective. The confusion arises from a misunderstanding of the definitions, particularly regarding the closure property, which applies to sets rather than transformations.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with linear algebra concepts, specifically linear transformations
  • Knowledge of functions and their properties in mathematics
  • Basic understanding of injective and non-injective functions
NEXT STEPS
  • Study the properties of linear transformations in depth
  • Explore examples of linear transformations that are not one-to-one
  • Learn about the concept of projections in linear algebra
  • Investigate nonlinear transformations and their characteristics
USEFUL FOR

Students of mathematics, particularly those studying linear algebra, educators teaching these concepts, and anyone seeking to clarify the differences between linear and nonlinear transformations.

yaganon
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right now, my concept for their difference is that linear transformations are 1 to 1, where as nonlinear transformations are not. However, P^n to P^(-1) is a linear transformation, but it's not 1 to 1.

the textbook def of linear transformation is that it must be closed under addition and scale factorization.

I'm confused.
 
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A linear transformation is just one that satisfies the conditions of linearity:

T(x+y)=T(x)+T(y)
T(ax)=aT(x)

where x and y are vectors, a a scalar. Nothing requires linear transformations to be 1 to 1 (they usually aren't) or nonlinear transformations to not be 1-1
 
yaganon said:
right now, my concept for their difference is that linear transformations are 1 to 1, where as nonlinear transformations are not. However, P^n to P^(-1) is a linear transformation, but it's not 1 to 1.

the textbook def of linear transformation is that it must be closed under addition and scale factorization.

I'm confused.
Yes, you are. It makes no sense to talk about a transformation as being "closed under addition and scale factorization". Only sets are "closed" under given operations, not transformations. A "linear transformation" on a vector space is a function, F(v), such that F(au+ bv)= aF(u)+ bF(v). They are certainly NOT, in general, "one-to-one", as Office Shredder says. For example, any projection is linear but is not one-to-one.
 

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