What is a nonconstant linear function?

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Discussion Overview

The discussion revolves around the nature of linear functions, specifically addressing the distinction between constant and nonconstant linear functions. Participants explore definitions, examples, and properties of linear functions in various mathematical contexts, including vector spaces and mappings.

Discussion Character

  • Debate/contested
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that linear functions are not always constant, providing examples such as f(x)=x.
  • One participant claims that the only constant linear function is the zero function, discussing linear maps between vector spaces.
  • Another participant expresses confusion about the terms "constant" and "nonconstant" linear functions, suggesting that they thought linear functions were synonymous with constant functions due to the concept of constant rate of change.
  • Participants clarify that a constant function is one that always takes the same value, with examples like f(x)=2.
  • There is a discussion about the relationship between linear functions and their representation as y=Ax, where A is a matrix.
  • One participant notes that a linear function is constant if its slope is zero, while a nonconstant linear function has a non-zero slope.
  • Concerns are raised about the specificity of examples used, particularly regarding mappings from ℝ to itself versus more general cases.
  • A later reply introduces a more general mapping from \mathbb{C}^m to \mathbb{C}^n, suggesting that the function may be constant under certain conditions related to the rank of A.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the definitions and examples of constant versus nonconstant linear functions, with multiple competing views and some confusion expressed regarding terminology.

Contextual Notes

There are limitations in the discussion regarding the definitions of constant and nonconstant functions, as well as the assumptions made about the contexts in which linear functions are being discussed.

spoke
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arent linear functions always constant?
 
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No, they aren't. Concider for example f(x)=x.
 
Actually, the only constant function that is linear is the 0 function.

If you have a linear map T:V-->W between V.Spaces (this generalizes to rings, etc.)

then, if T(v)==wo , i.e., T(v)=wo for all v in V, then:

T(v+v')=wo≠ T(v)+T(v')=wo+wo=2wo.

A similar argument applies to maps from a vector space to its base field.
 
espen180 said:
No, they aren't. Concider for example f(x)=x.

well then i don't know what a constant and nonconstant linear functions are. Because f(x)=x is linear when graphed, so i was assuming linear is synonymous the word constant. as in a constant rate of change or constant slope.
 
A constant function is a function which always takes the same value, for example f(x)=2.
All linear functions on Rncan be written as y=Ax where A is a matrix (in one dimension, just a number)
 
spoke:

You may be confusing constant rate of change, i.e., constant derivative--a property of linear functions-- with constant function.
 
Office_Shredder said:
A constant function is a function which always takes the same value, for example f(x)=2.
All linear functions on Rncan be written as y=Ax where A is a matrix (in one dimension, just a number)

So would this relation be an example constant function? {(1,2), (2,2), (3,2), (4,2)}
 
Yes, exactly, that is what a constant function is like when seen as a subset of AxB.

Not to nitpick, but you may want to specify the sets A,B where you are defining

your function as a subset of AxB; here, A is clearly specified, but it is not clear

what B is (unless you assume your function is onto B).
 
A linear function is constant if and only if its slope is zero. By contaposition, a linear function is not constant (i.e. non-constant) iff its slope is different from zero.
 
  • #10
Your right, Dickfore, but your example is that of a map from ℝ to itself may be too
specific for a general definition of function.
 
  • #11
Bacle2 said:
Your right, Dickfore, but your example is that of a map from ℝ to itself may be too
specific for a general definition of function.

OK, make
[tex] \mathbf{y}_{n \times 1} = \hat{A}_{n \times m} \cdot \mathbf{x}_{m \times 1} + \mathbf{b}_{n \times 1}[/tex]
This is a general mapping from [itex]\mathbb{C}^m \rightarrow \mathbb{C}^n[/itex]. But, now, the function may be constant in a more general case, when [itex]\mathrm{rank}A \le m < n[/itex].
 

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