What Is a Multilinear Function in Multilinear Algebra?

  • Context: Graduate 
  • Thread starter Thread starter BrainHurts
  • Start date Start date
  • Tags Tags
    Algebra Definition
Click For Summary

Discussion Overview

The discussion centers on the definition and properties of multilinear functions in the context of multilinear algebra, particularly as presented in Lee's Introduction to Smooth Manifolds. Participants explore the implications of the definition, provide examples, and clarify the conditions under which a function is considered multilinear.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents a definition of a multilinear function and proposes an alternative formulation, questioning its correctness.
  • Another participant points out that the proposed alternative results in a mismatch in the number of input vectors on each side of the equation.
  • Some participants discuss the specific case of k=2 and clarify how the definition applies, emphasizing the linearity in each variable when others are fixed.
  • A participant provides an example using the inner product to illustrate the concept of multilinearity, expressing confusion about the notation used in Lee's text.
  • There is a suggestion to consider a different formulation of the multilinear function, but it is noted that this would imply linearity, which contradicts the definition of multilinearity.
  • Clarifications are made regarding the linearity of mappings derived from the multilinear function definition, specifically in the case of k=2.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of the multilinear function definition and its implications. While some clarify and agree on aspects of the definition, others propose alternative formulations that lead to confusion. The discussion remains unresolved regarding the proposed alternative definitions.

Contextual Notes

Participants express uncertainty about the notation and definitions presented in the source material. There are also unresolved questions about the implications of certain formulations and their adherence to the definition of multilinearity.

BrainHurts
Messages
100
Reaction score
0
I'm reading Lee's Introduction to Smooth Manifolds and I have a question on the definition of a multilinear function

Suppose V_{1},...,V_{k} and W are vector spaces. A map F:V_{1} \times ... \times V_{k} \rightarrow W is said to be multilinear if it is linear as a function of each variable separately when the others are held fixed: for each i,

F(v_{1},...,av_{i} + a'v^{'}_{i},...,v_{k}) = aF(v_{1},...,v_{i},...,v_{k}) + a'F(v_{1},..., v^{'}_{i},...,v_{k})

I'm thinking that it should look like this,

F(u_{1},...au_{k} + a'v_{1},...,v_{k}) = aF(u_{1},...,u_{k})+a'F(v_{1},...,v_{k})
any comments?
 
Last edited:
Physics news on Phys.org
F on the left hand side takes in 2k-1 vectors, and on the right hand side just k.

The definition in the book is correct, do you think it's a typo or are you just throwing out an idea for a different definition?
 
different idea of course sorry, definitely not trying to correct him, I'm not seeing it as clearly, umm "F on the left hand side." Which F are you talking about? Lee's definition or what I'm thinking it should look like?
 
OK just wanted to make sure. The F on the left hand side I'm talking about here.

BrainHurts said:
F(u_{1},...au_{k} + a'v_{1},...,v_{k}) = aF(u_{1},...,u_{k})+a'F(v_{1},...,v_{k})
any comments?

Let's suppose k=2. It looks like what you have written is

F(u_1, a u_2 + a' v_1, v_2) = a F(u_1, u_2) + a' F(v_1, v_2)

And F on the left hand side of the equation, and on the right hand side of the equation, have a different number of variables as input
 
Hmm, honestly I'm still a little confused, I'm trying to think of a more concrete example such as F being an inner product

if we let V=ℝn for example, then V is a vector space over the field ℝ with the usual addition of vectors and scalar multiplication.

so <\cdot,\cdot> : V \times V \rightarrow ℝ given by \sum_{i=1}^{n} a_{i}b_{i} is a multilinear function (namely a bilinear function)

so if we let x,y,z, be in ℝn and let F = <.,.>, then F(ax+by,z) = aF(x,z) + bF(y,z)
= a<x,z> + b<y,z> right?

so using Lee's notation I'm not really seeing it.
 
or is it better to see it this way?

F(a(u_{1},...,u_{k}) + b(v_{1},...,v_{k})) = aF(u_{1},...,u_{k}) + bF(v_{1},...,v_{k}) ?
 
BrainHurts said:
or is it better to see it this way?

F(a(u_{1},...,u_{k}) + b(v_{1},...,v_{k})) = aF(u_{1},...,u_{k}) + bF(v_{1},...,v_{k}) ?

No, that would imply that ##F## is linear.
 
In the case k = 2, the definition says that
F(a v_1 + a&#039; v_1&#039;, v_2) = a F(v_1, v_2) + a&#039; F(v_1&#039;, v_2)
and
F(v_1, a v_2 + a&#039; v_2&#039;) = a F(v_1, v_2) + a&#039; F(v_1, v_2&#039;).

In other words, the map V_1 \to W,\;v_1 \mapsto F(v_1, v_2) is linear (for fixed v_2), and the map V_2 \to W,\;v_2 \mapsto F(v_1, v_2) is linear (for fixed v_1). This is what it means to be linear as a function of each variable separately.
 
adriank said:
In the case k = 2, the definition says that
F(a v_1 + a&#039; v_1&#039;, v_2) = a F(v_1, v_2) + a&#039; F(v_1&#039;, v_2)
and
F(v_1, a v_2 + a&#039; v_2&#039;) = a F(v_1, v_2) + a&#039; F(v_1, v_2&#039;).

In other words, the map V_1 \to W,\;v_1 \mapsto F(v_1, v_2) is linear (for fixed v_2), and the map V_2 \to W,\;v_2 \mapsto F(v_1, v_2) is linear (for fixed v_1). This is what it means to be linear as a function of each variable separately.

got it! thanks!
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 18 ·
Replies
18
Views
3K
Replies
11
Views
3K
  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 6 ·
Replies
6
Views
1K
  • · Replies 15 ·
Replies
15
Views
3K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 13 ·
Replies
13
Views
2K