Talk:Triple product/Archive 1

Archive 1

Pseudovectors?

The stuff about pseudovectors needs to be reviewed by someone who understands it. I think the notation could be improved to clarify things. It is not clear to me what the significance of this is. Dhollm 12:59, 6 May 2007 (UTC)

Can you please clarify what you feel needs to be improved? Also, what do you miss in terms of significance? Thanks. Edgerck 19:19, 6 May 2007 (UTC)

Note: I partly reversed your cuts, which made the article clash with other wikipedia references. I hope to also have made it clearer. Edgerck 19:27, 6 May 2007 (UTC)

Pseudovectors and pseudoscalars

I rewrote the sentences about pseudovectors and pseudoscalars. In my opinion, they were not clear, and one of them was wrong (the "if and only if" in scalar vector product). Please check and let me know if you agree and if you like them. Paolo.dL (talk) 23:42, 16 January 2008 (UTC)

Lagrange's Formula

Lagrange's formula is currently internally linked, but this leads to a disambiguation page, which in turn leads back to the section on this page. It's completely circular, but I'm not sure what the intention was. Warrickball (talk) 21:24, 12 May 2008 (UTC)

It is just a way to warn the reader that "Lagrange's formula" is ambiguous: it does not refer only to triple product expansion. This is useful information, based on which people may choose to use "triple product expansion", rather than "Lagrange's formula", to avoid ambiguity. Paolo.dL (talk) 07:51, 14 May 2008 (UTC)

Erroneous Equation

The following was included as a property of triple-products:

"There is also this property of triple products:

$\mathbf {a} \cdot (\mathbf {b} \times \mathbf {c} )=(\mathbf {a} \times \mathbf {b} )\times (\mathbf {a} \times \mathbf {c} )$

" It cannot be correct as the left-hand side of the equality is a scalar and the right-hand side is a vector. Perhaps someone knows what was intended?

The original equation (the correct one), was:

$(\mathbf {a} \cdot (\mathbf {b} \times \mathbf {c} ))\mathbf {a} =(\mathbf {a} \times \mathbf {b} )\times (\mathbf {a} \times \mathbf {c} )$

In fact, there was a fun succession of edits, the first one removed the first opening parenthesis, the next removed the closing parenthesis next to 'a', and at last, Bjordan555 removed the 'a' from it... I don't know why this happened. I've undone the changes and corrected it again. I've changed the parenthesis for brackets to clarify it.

— Preceding unsigned comment added by Gr3gf (talk • contribs) 21:34, 8 June 2009 (UTC)

Another notation

Can't square brackets be used for the triple product?

$[\mathbf {a} ,\mathbf {b} ,\mathbf {c} ]:=\mathbf {a} \cdot \mathbf {b} \times \mathbf {c}$

...or is it:

$[\mathbf {a} ,\mathbf {b} ,\mathbf {c} ]:=\mathbf {a} \times \mathbf {b} \cdot \mathbf {c}$

(The last is used in Rutherford, D. E. (1965). Vector Methods. University Mathematical Texts. Oliver and Boyd Ltd., Edinburgh.) Alksentrs (talk) 14:37, 15 June 2009 (UTC)

As in Russian education, the following is considered true: $[\mathbf {a} ,\mathbf {b} ,\mathbf {c} ]:=(\mathbf {a} \cdot [\mathbf {b} \times \mathbf {c} ])$. As one has to make two different multiplications - one "cross product", one "dot product" - this is called mixed product.--Q0k (talk) 22:03, 16 November 2009 (UTC)

Pseudoscalars???

Under the section Scalar or pseudoscalar the article reads:

"The scalar triple product typically returns a pseudoscalar, although a pseudoscalar is equivalent to a (true) scalar if the (mathematical) orientation of the coordinate system is selected in advance and fixed."

No. The scalar triple product is a mathematical function, not a computer subroutine, and as such it doesn't "return" anything; it takes values. More important, it doesn't have "typical" behavior: It *always* takes a scalar value, defined as the determinant of the matrix (a b c), where a, b, and c form an ordered triple of vectors in R³.

If someone wants to write a different article about some variant of the scalar triple product used in physics, that's one thing. But it's not appropriate to confuse readers about a very standard mathematical function. This entire section should be removed from this article.Daqu (talk) 22:20, 25 September 2010 (UTC)

You are right about "return". As a programmer it makes sense to me but it's not a mathematical term, so I've rewritten it using more mathematical language there and further down. It's still making a valid point, hopefully more clearly now, so there's no need to remove it.--JohnBlackburne^words_deeds 22:29, 25 September 2010 (UTC)

I believe that articles about programming should be written by people who are expert in the subject of programming. Articles about math, by people expert in math. No one expert in math has ever called the value of the triple scalar product a pseudoscalar. I don't consider a false statement to be a "valid point". The value of a triple scalar product is a number, not a "pseudoscalar".Daqu (talk) 05:16, 26 September 2010 (UTC)

It makes sense to me, but could be clearer so I've rewritten it. The pseudoscalar is a valid and well defined concept in maths and physics, and this is a good example of it. If a reader is not familiar with it they can follow some of the links which go into it in far more detail than I think's appropriate for this article, but it's good to mention it here to fit this product into its various applications and generalisations. --JohnBlackburne^words_deeds 10:13, 26 September 2010 (UTC)

Pseudoscalar is a well-defined concept in math/physics. Actually, a computer scientist might be more prone than a mathematician to call it a scalar (it's just a float; why give it a fancy type?). If you are working with matrices of scalars, then yea, it's a scalar (as you said, it's just the determinant of the matrix), but if you are using a richer algebra that accounts for more than one coordinate system, then it can't be just a scalar: instead of a matrix you have a tensor and so instead of the determinant you use the Levi-Civita symbol which itself is not a tensor but a pseudotensor again giving you a pseudoscalar. —Ben FrantzDale (talk) 22:08, 26 September 2010 (UTC)

index notation

i think it might be helpful if you included the index notation for the triple product —Preceding unsigned comment added by 128.95.141.33 (talk) 02:10, 26 October 2007 (UTC)

I agree. I believe it can be useful (although the BAC-CAB rule is clear enough), but I can't do it immediately. Paolo.dL (talk) 20:25, 16 January 2008 (UTC)

The indexes with the Levi Civita notation in the final part of the page are wrong. in fact Ax(BxC)= epsilon_ijk a_j epsilon_klm b_l c_m = epsilon_kij epsilon_klm a_j b_l c_m . This change in indexes is in reality a change in the sign of the solution.

Lorebene (talk) 17:00, 27 September 2011 (UTC)

That agrees with Cross product. —Ben FrantzDale (talk) 15:26, 28 September 2011 (UTC)

scalar, vector - and where is mixed ?

What is $\mathbf {a} \cdot [\mathbf {b} \times \mathbf {c} ]$? What is $\mathbf {a} \times (\mathbf {b} \cdot \mathbf {c} )$? --Q0k (talk) 04:48, 15 November 2009 (UTC)

The latter is undefined: types do not match. Incnis Mrsi (talk) 23:01, 16 January 2014 (UTC)

Invariant under rotation

The statement The scalar triple product is invariant under rotation of the coordinate system. though true seems a little out place. All of vector algebra is invariant under rotation of of the coordinate system - that's the whole point of it. Unless there are objections in the next week or so, I propose to delete this statement. --catslash (talk) 23:50, 15 January 2014 (UTC)

I do not see any problem with reiterating the statement that the triple scalar product is a pseudoscalar, but I think it should be moved to the appropriate subsection. The same formula with R can be used to explain what happens if R is an improper rotation. Incnis Mrsi (talk) 23:01, 16 January 2014 (UTC)

Good idea. --catslash (talk) 22:03, 17 January 2014 (UTC)

new Geometric algebra section

I have serious problems with the new section. The main result/interpretation of the triple product in GA is

 a ^ b ^ c

Which makes sense in GA (or exterior algebra) and gives a pseudoscalar result. This is given in Triple product#As an exterior product. I don't understand how the new section relates to this, or what other point it is trying to make, while the diagram is simply confusing.--JohnBlackburne^words_deeds 17:55, 17 January 2014 (UTC)

You are right: I forgot what does “∧” usually mean and, particularly, what is the exterior algebra. No doubt I learned it once, but today missed the difference between “∧” and “anticommutator/2” (denoted as “×” if the geometric algebra article is correct). I thought about anticommutators, but wrote it as “∧”. Does this part of article now make sense? As for the diagram… it is ugly and you may remove it if it degrades the article. Incnis Mrsi (talk) 20:10, 17 January 2014 (UTC)

I though about the a E − E a thing. It is called commutator – another mistake. Incnis Mrsi (talk) 22:05, 17 January 2014 (UTC)

'^' is the exterior product/outer product. Exterior algebra is GA with only exterior products/all inner products zero. Exterior algebra is older and perhaps more widely studied, so is worth mentioning even though all the results are found in GA. '×' can be used but it has other meanings in GA so '^' is better and more common. Or one way of distinguishing between them is '×' gives the vector-valued cross product, '^' the bivector-valued exterior product.--JohnBlackburne^words_deeds 20:28, 17 January 2014 (UTC)

I've removed it. I still could not understand what point it was making while the maths was simply wrong. E.g. it asserts that if a is orthogonal to b and c then the product is zero, which makes no sense. Mutually orthogonal vectors give a non-zero triple product. With the maths wrong and the text unclear it's impossible to fix; pared down to correct maths it would just duplicate content in the rest of the article.--JohnBlackburne^words_deeds 20:39, 17 January 2014 (UTC)

You miss that there are two triple products in vector calculus. One is (pseudo)scalar and yes, it is non-zero for an orthogonal basis. The second is vector triple product, I said. It is another product. Do you understand at last? Incnis Mrsi (talk) 21:13, 17 January 2014 (UTC)

But that product is already covered, and proved, in the article. It still doesn't make sense. You write (in a footnote so it's not obvious) that b×c is just b^c. But that makes a×(b×c) just a ^ (b ^ c), unless '×' has different definitions at different points. This is why the cross product is avoided in GA, it doesn't generalise, while the geometric product and exterior product are well defined.--JohnBlackburne^words_deeds 21:32, 17 January 2014 (UTC)

What does the article prove about the vector product? (moving this part to a separate thread) No, you are wrong: for vectors b, c: b×c = b∧c, but it isn’t a vector but a grade-2 element, a pseudovector, do you understand? It does not make a×(b×c) just a∧(b∧c) because the former is, by definition from geometric algebra #Extensions of the inner and outer products, a commutator (up to the 1/2 factor) of a vector (grade-1 element) and a pseudovector (grade-2 element)! Whereas the latter is their exterior product, that isn’t 1/2(a(b∧c) − (b∧c)a) but is 1/2(a(b∧c) + (b∧c)a) because the second argument is even (it’s not a vector). Do you see that the GA formula for ∧ is different from one for ×? It is the thing where I failed last time. IMHO now it is your turn to learn exterior algebra. Incnis Mrsi (talk) 22:05, 17 January 2014 (UTC)

---

Update: it appeared that my last version forgot to write 1/2 factor in the definition of “×”, although calculation itself is correct. Yesterday was definitely not a good day for me. Incnis Mrsi (talk) 08:32, 18 January 2014 (UTC)

Vector triple product

The conflict above was created from my desire to fix this deficient section by providing valid explanations. There is no proof of Lagrange's formula. There was only a paragraph that restated the identity with permuted letters and claimed that it is true due to antisymmetry:

“ Since the cross product is anticommutative, the following related formula can be easily derived:

$(\mathbf {a} \times \mathbf {b} )\times \mathbf {c} =-\mathbf {c} \times (\mathbf {a} \times \mathbf {b} )=-(\mathbf {c} \cdot \mathbf {b} )\mathbf {a} +(\mathbf {c} \cdot \mathbf {a} )\mathbf {b}$

” — Sheepe2004, [1]

It was not clear, derived from which clauses. I commented it out because one can’t transform ×s into ⋅s on the grounds of antisymmetry of the former only. After my small investigation it appeared that Sheepe2004 altered the sense of the paragraph in such way that its initial point (there is an equivalent reformulation of Lagrange's formula) became lost. In any case, even the original version didn’t explain how is Lagrange's formula derived.

The only pre-existing explanation I found is a line in Triple product/Archive 1 #Tensor calculus, and it is not especially clear. It states some contraction identity, but does not explain whether is it merely a computational fact or an application of some general rule.

After all this I wrote a new section that served for two purposes. First, it explained why one should expect namely pseudoscalars and vectors, not other types of objects, from a triple product. Second, it attempted to derive Lagrange's formula from Clifford algebra, and I claim it actually derived it up to sign. But it was immediately attacked by JohnBlackburne (see above). What to do now? Will anybody fix the lame section in some way other than I proposed? Incnis Mrsi (talk) 08:02, 18 January 2014 (UTC)

I've just tried putting in a section which does it properly, in I think the best location. First I used the left contraction for the formula, i.e.

$\mathbf {a} \;{\big \lrcorner }\;(\mathbf {b} \wedge \mathbf {c} )$

not

$\mathbf {a} \cdot (\mathbf {b} \wedge \mathbf {c} )$ or $\mathbf {a} \times (\mathbf {b} \wedge \mathbf {c} )$

which have the problem that 'dot' is only well defined for two vectors while 'cross' is only really defined for two bivectors. It's also unclear how you get from the vector cross product to the GA cross product. The left contraction I think is much more obvious, though I don't have a source for this – the vector triple product doesn't seem to get much coverage anywhere. But the left contraction is both mathematically right and intuitively correct (if you think of the contraction geometrically), and sourced.

After that the proof follows from the characteristic properties of the left contraction (see the other source), and is identical to the result for the cross product. This is an even simpler proof too. I therefore removed the later 'Geometric algebra' section. The only other thing it included was a brief statement of various geometric algebra facts which are explained more fully at that article if readers need some background.--JohnBlackburne^words_deeds 07:31, 21 January 2014 (UTC)

Use of 3-bar equivalent symbol

Copied from the Mathematics Reference Desk

Our article on, say, triple product contains lots of instances of $\equiv$, and I don't get the point. The cross product of two vectors is straightforward, if annoying, to work out as pure algebra, and if I worked it out as an equation, I'd use a plain vanilla equals sign in that equation. I looked up the triple bar article and Identity (mathematics) and I don't really see anything, outside of specialized contexts, where it has any general significance I can understand. To me the sign is confusing because there have been times when I've sat in a classroom and seen the sign used in the same way as "<-" in a computer program (or "=" in languages that use "==" for equals). So I have to look and see, are they saying these things work out to be equal, or are they defining them to be equal?

Is there a way to defend this usage, to say that yeah, anyone looking at this knows this triple-bar thingy has to be there instead of an = sign, and everyone knows what that signifies? Wnt (talk) 18:01, 18 October 2016 (UTC)

Huh, that looks like simply a mistake in the article. Equal signs all around seem to be warranted. But now, I feel like I may be missing something, as well... Tigraan^{Click here to contact me} 18:09, 18 October 2016 (UTC)

I don't think you all are missing anything. The article used equal signs until April 2016, when someone went about tweaking the equations with no explanation or edit summaries. Per MOS:MATH#NOWE, a simple equal sign is preferred over $\equiv$ or ":=". That an equation serves as a definition should, in my opinion, be explicitly indicated in the prose rather than rely on a possibly obscure symbol. If no one, objects, let's revert to equal signs. --Mark viking (talk) 19:30, 18 October 2016 (UTC)

I'm pretty sure triple product is intending to use $\equiv$ to mean roughly "equal by virtue of explicit prior definition or assumption.", as opposed to e.g. "equal because we did the same thing to both sides". And not necessarily doing anything with any consistency. But I agree with Mark that WP MOS is pretty clear on this, and we should probably revert to all '='. SemanticMantis (talk) 20:16, 18 October 2016 (UTC)

My interpretation was the triple bar was meant as identity as opposed to equality. The distinction is subtle and it's much better to spell out in words what is meant rather than using an obscure symbol. For example if "$\sin ^{2}\theta +\cos ^{2}\theta \equiv 1$" is meant to mean "$\sin ^{2}\theta +\cos ^{2}\theta =1$ for all $\theta$" then just write it out that way instead of confusing half of your readers. In the triple product article the "for all a, b, c" is implied by context so the distinction isn't needed. A bigger question is whether $\equiv$ as identity should be in any WP article other than to mention it as being used by "some authors". --RDBury (talk) 21:57, 18 October 2016 (UTC)

As someone who used to use the triple bar back when I published research, I disagree with the above discussion and the preference stated in the MoS. A double bar means equals, maybe for some value of a variable or maybe for all values of parameters and variables. A triple bar means more specifically the latter, and so should be preferred on grounds of clarity in my opinion. And $f(a,b)\equiv g(a,b)$ is more succinct than, and hence preferable to, $f(a,b)=g(a,b)$ for all a and b. Loraof (talk) 23:39, 18 October 2016 (UTC)

This distinction continues to evade me. Do we write a = a + 0 or do we write a $\equiv$ a + 0 or a = a + 0 "for all a"? I mean, the cross product is just a shorthand for some algebra, $\mathbf {u} \times \mathbf {v} =(u_{2}v_{3}-u_{3}v_{2})\mathbf {i} +(u_{3}v_{1}-u_{1}v_{3})\mathbf {j} +(u_{1}v_{2}-u_{2}v_{1})\mathbf {k}$. At least it's a double bar in cross product where I stole this math code from. Or is that a triple bar when we say it is equal ... or identical... to something else? Wnt (talk) 23:52, 18 October 2016 (UTC)

Essentially, the triple bar is used for equations that are always true, whereas the double bar is used for those that are not always true (and you can solve for the values that make it true). So you would write sin θ = 1 with the double bar (it's not always true, but you can easily find solutions, like θ = π/2); but sin² θ + cos² θ ≡ 1 needs the triple bar because it doesn't matter what θ is, the equality always holds. Double sharp (talk) 02:58, 19 October 2016 (UTC)

So E=mc^2 needs to be "E$\equiv$mc²? I feel like when working out math problems we use quite a bit of "identity", and I'm loath to give up my ascii equals sign for all of it. As much as it is used in triple product, by this standard there are many other sections and instances (like under "Proof") where the triple bar still needs to be put in to replace the double. Wnt (talk) 11:45, 19 October 2016 (UTC)

There probably are situations where it is helpful for the reader if the text tries to distinguish identities (equations that are true for all values) from definitions and from constraints (equations we want to be true and where we want to find the specific values that make them true). However, I don't think the triple bar is widespread enough to be used without explaination, and I fear it might confuse the reader rather than help him. (For what it's worth, in situations where it is important to distinguish identities from constraints I have seen an equals sign with an exclamation point above used to denote constraints, like $\sin \theta {\stackrel {!}{=}}0$. Similarly, sometimes a question mark above an equals sign is used to denote identities we want to show to be true. I have only seen this usage on blackboards, for what it's worth.) Tea2min (talk) 12:16, 19 October 2016 (UTC)

The double-bar/triple-bar distinction is only useful when it is important to distinguish constraints from identities. When that is not the issue at hand, it is often not used, because it is then not serving any useful purpose. Oh, and I would also confirm what Tea2min has said about ? and ! modifying equals signs on blackboards. Double sharp (talk) 13:14, 19 October 2016 (UTC)

If the idea is to use the triple bar for every expression that evaluates to true no matter what values the variables around it have (i.e. as a shorthand for "forall..."), it looks pretty ridiculous to me. I could be convinced it is helpful as a shorthand for "analytic equality", i.e. an equality that is deduced purely from logical axioms and the form of the variables of the LHS and RHS (type but not value in a programming language). But it would take a lot of convincing, a better definition, and anyways, it is the MOS that needs convincing (good luck with that). Tigraan^{Click here to contact me} 13:22, 19 October 2016 (UTC)

The article references that I can access use just an ordinary equal sign. Does anyone object if we put the article back to that format (with a mention in the text that the identity is true for all values if anyone would possibly read it differently)? Dbfirs 15:52, 19 October 2016 (UTC)

I think article should match MOS. While I understand the complaints against the content of MOS, I think it is still best to follow something consistently. As it stands, we have three (or more) notions what that symbol means. Any given (good) math text that uses the symbol can simply define it at first usage, but that is not how we are supposed to approach math articles on WP. SemanticMantis (talk) 18:14, 19 October 2016 (UTC)

Methinks we should move that whole conversation to the article TP, and give page watchers a few days to react (or do the change now, but be prepared for a possible on-sight revert; we cannot really claim a meaningful consensus from here). Tigraan^{Click here to contact me} 16:41, 19 October 2016 (UTC)

I suspect that it would be only Dangvugiang who would disagree, but we don't want to start an edit war. I've copied the content here for further discussion. Dbfirs 07:23, 21 October 2016 (UTC)

That ≡ was intended to signify a identity was clear to me. However, ≡ is not commonly used (not even in our identity article), so I would avoid it. I was inclined to revert these edits at the time, but as they are both good-faith and correct, I felt there were insufficient grounds for doing so. In MOS:MATH#TONE, ≡ is deprecated for use in definitions, I would be happy to see this extended to identities. --catslash (talk) 12:07, 21 October 2016 (UTC)

This discussion continued at [the Mathematics reference desk]. Arguments in favour of using the identity symbol were that it:

• Distinguishes identities from equations

and against, that it is:

• Not widely used
• Not universally understood
• Unnecessary unless an identity could be confused with an equation
• Possibly against MOS:MATH#TONE
• Possibly ambiguous (could signify a definition or an equivalence relation)
• Inconsistent with usage in other articles

Participants in the discussion were about 6:1 against using the identity symbol. Now an IP has [Changed equiv to equals when appropriate.] in one section - I shall do the same in the other sections. --catslash (talk) 22:12, 26 March 2017 (UTC)

Merely multiple dot product

What if we take the concept of dot product and extend it to arbitrary number of operands, as sum of the products of the corresponding entries of more than two sequences of numbers?

109.64.40.217 (talk) 07:09, 3 July 2018 (UTC)

The most natural way to generalise it is as a geometric product, using geometric algebra. The article already describes how the triple product is interpreted in geometric algebra, in the section As an exterior product, as a ^ b ^ c (or more precisely the dual of it). But this is only one of many products that can be derived from the geometric product of three vectors, abc. And this product is not limited to just three vectors, you can use any number, doing the product in any number of dimensions.--JohnBlackburne^words_deeds 07:43, 3 July 2018 (UTC)

Properties: a dot product is intended here

Regarding this edit: [2], a dot is needed here as the elements of the column and row matrices are vectors. The matrix product without the dot is a 3×3 matrix of dyads, which is not what is required. catslash (talk) 14:15, 3 August 2021 (UTC)

Denoting a matrix as a row of column vectors or a column of row vectors is not uncommon, as seen in Lay, David C. (2016). "Matrix algebra". Linear algebra and its applications. Steven R. Lay, Judith McDonald (Fifth, global ed.). Harlow. ISBN 1-292-09223-8. OCLC 920463015.{{cite book}}: CS1 maint: location missing publisher (link) and Strang, Gilbert (2016). "Solving linear equations". Introduction to linear algebra (Fifth ed.). Wellesley, MA. ISBN 978-0-9802327-7-6. OCLC 956503593.{{cite book}}: CS1 maint: location missing publisher (link). In fact, juxtaposing a matrix next to another that has been expanded as vectors is how it's introduced. The interpretation of the notation as dyads is unlikely to be the common case here. Hellacioussatyr (talk)

It is true that it is common to conflate a Gibbs-Heaviside vector with the row or column matrix of its Cartesian coordinates. But that is not what is meant here. The matrix elements are supposed to be Gibbs-Heaviside vectors which are contracted so as to give the matrix of scalars on the right-hand side. It is clear that the elements of the matrix on the RHS do not relate to Cartesian coordinates, but rather to permutations of the arguments of the triple products. If it is not clear that the same is true of the 'middle side', then perhaps it would better to delete it. catslash (talk) 22:40, 3 August 2021 (UTC)

Fair enough. The source doesn't talk about the right-most side matrix going through a multiplication operation. Hellacioussatyr (talk) 04:00, 4 August 2021 (UTC)