- #1

mikeeey

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If the derivative is a linear operator ( linear map )

Then what is the example of non-linear operator

Thanks .

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- Thread starter mikeeey
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In summary, the conversation discusses the difference between linear and non-linear operators in mathematics, specifically in the context of linear algebra. It is mentioned that linear algebra deals with vector spaces and linear maps, while non-linear maps may involve techniques from topology and may fall under functional analysis. There is also a discussion about commutative algebra and non-commutative group theory, and the concept of matrices as examples of both linear and non-linear operators. Finally, it is suggested that for some purposes, the most important operators are those on function spaces, which can be either linear or non-linear.

- #1

mikeeey

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If the derivative is a linear operator ( linear map )

Then what is the example of non-linear operator

Thanks .

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- #2

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##f(x) = x^2## for ##x\in \mathbb{R}##.

- #3

mikeeey

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Thanks

- #4

WWGD

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All linear (affine) maps from ##\mathbb R ## to itself are of the form ## f(x)=ax+b ##, so any map that does not look like this is not linear (affine). But that is a good question. And I think it is more accurate to say that the _differential_ is a linear map. And there s such a thing as linear maps defined on modules, and maybe other objects.

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- #5

Fredrik

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I don't think there is a branch of mathematics called non-linear algebra. Linear algebra can be considered a subset of abstract algebra, but this isn't apparent from books on abstract algebra, because they focus on those parts of abstract algebra that aren't linear algebra.mikeeey said:My point is , if linear algebra deals with vector spaces and linear maps , then what does nonlinear algebra deal with ( only nonlinear functions with nonlinear equation ) nonlinear maps ( transformations ) ?

Things that involve vector spaces but require techniques from topology are usually considered functional analysis rather than linear algebra.

I'm not sure what label is appropriate for the topic of non-linear maps between vector spaces. Some non-linear maps, like affine maps T(ax+by)=aT(x)+bT(y)-T(0), antilinear maps T(ax+by)=a*T(x)+b*T(y) and multilinear maps T(aw+bx,cy+dz)=acT(w,y)+adT(w,z)+bcT(x,y)+bdT(x,z) are similar enough to linear maps that I wouldn't hesitate to consider them part of linear algebra.

Actually, now that I think about it, I think I would consider arbitrary maps between vector spaces a part of linear algebra. The "linear" in linear algebra refers to the "linear structure" of the vector space, i.e. the addition and scalar multiplication operations, not to linear operators. I would expect that there isn't a whole lot we can say about arbitrary maps between vector spaces. We need to consider a smaller subset of maps (like linear, affine, antilinear or multilinear maps) to be able to say something interesting.

- #6

mathwonk

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In my opinion, linear algebra is about linear maps. the vector space are merely where they take place.

as to non linear algebra, to me that would be non commutative group theory, and "commutative algebra" (polynomial maps).

There is also a linear side to "commutative algebra". I.e. although polynomial maps are not linear, the ring of all polynomials is commutative and

can be profitably considered as the coefficient ring for a "module", i.e. a commutative group with an action by that ring. Then there are linear maps

of those modules for which the rings of polynomials behave as scalars do for vector space maps.

So for me, basic algebra comes in two flavors, linear algebra (possibly generalized to modules over arbitrary commutative rings), where the fundamental tool is essentially the Euclidean algorithm, and non commutative group theory, where the basic tool is the action of the group on various objects.

Matrices give rise to interesting examples of both theories, since matrices define linear maps, but groups of matrices, such as GL(n (invertible matrices)), SO(n) (e.g. rotations),define interesting non commutative groups which act on vector spaces and on subspaces, as well as on tensor spaces.

This point of view is spelled out in this introduction to course notes on my web page: (80006 is a typo for 8000)

http://alpha.math.uga.edu/~roy/80006a.pdfanother answer (maybe more appropriate to the original question) is that, for some purposes, the most important operators are operators on function spaces, and there you have both linear and non linear differential, integral (and other, as micromass illustrated) operators.

as to non linear algebra, to me that would be non commutative group theory, and "commutative algebra" (polynomial maps).

There is also a linear side to "commutative algebra". I.e. although polynomial maps are not linear, the ring of all polynomials is commutative and

can be profitably considered as the coefficient ring for a "module", i.e. a commutative group with an action by that ring. Then there are linear maps

of those modules for which the rings of polynomials behave as scalars do for vector space maps.

So for me, basic algebra comes in two flavors, linear algebra (possibly generalized to modules over arbitrary commutative rings), where the fundamental tool is essentially the Euclidean algorithm, and non commutative group theory, where the basic tool is the action of the group on various objects.

Matrices give rise to interesting examples of both theories, since matrices define linear maps, but groups of matrices, such as GL(n (invertible matrices)), SO(n) (e.g. rotations),define interesting non commutative groups which act on vector spaces and on subspaces, as well as on tensor spaces.

This point of view is spelled out in this introduction to course notes on my web page: (80006 is a typo for 8000)

http://alpha.math.uga.edu/~roy/80006a.pdfanother answer (maybe more appropriate to the original question) is that, for some purposes, the most important operators are operators on function spaces, and there you have both linear and non linear differential, integral (and other, as micromass illustrated) operators.

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Non-linear operators are mathematical operators that do not follow the traditional rules of addition and multiplication. They can involve powers, logarithms, and trigonometric functions, among others.

Derivatives are used to calculate the rate of change of a non-linear function. They allow us to understand how the output of the function changes with respect to its inputs, which is crucial in understanding non-linear operators.

We can explore non-linear operators by graphing them, analyzing their properties, and using techniques such as differentiation and integration to understand their behavior.

Non-linear operators are used extensively in physics, engineering, and economics to model and understand complex systems. They can also be used in data analysis to identify patterns and trends in non-linear data sets.

Non-linear operators can be challenging to work with, and their behavior can be difficult to predict. They also require advanced mathematical techniques to analyze, which can be challenging for some individuals.

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