What is “exterior” about an exterior product?












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This is a question about terminology. What is "inner" about an inner product, or "outer" about an outer product?










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    This is a question about terminology. What is "inner" about an inner product, or "outer" about an outer product?










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      This is a question about terminology. What is "inner" about an inner product, or "outer" about an outer product?










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      This is a question about terminology. What is "inner" about an inner product, or "outer" about an outer product?







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      Tobin Fricke

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          This terminology (or rather its literal German translation) was introduced by Grassmann.




          I named the former product exterior, the latter interior, reflecting that the former was nonzero only when involving independent directions, the latter only when involving a shared, i.e., partly common one.



          H. Grassmann, Die lineale Ausdehnungslehre [archive.org] (1844) x-xi.




          NB the words in the original text translated in the above excerpt to exterior and interior are respectively äussere and innere, but can also be translated respectively to outer and inner, and now all four terms have distinct meanings in this context.



          For more detail, see the answer to essentially the same question on MathOverflow, from where the above translation was lifted (which motivated setting this answer as a community wiki answer):




          Etymology of "exterior" in "exterior calculus".







          share|cite|improve this answer































            1














            Consider the case n=3. The interior product of two vectors is non-zero when one lives in the span of the other. The outer product of two vectors is non-zero when one lives outside the span of the other.



            This terminology can be traced back to one of the earlier German texts on linear algebra but I can't quite recall the name. I'll come back if I recall it.



            EDIT: Found my source. Take a look at section 1.2 of this.






            share|cite|improve this answer





























              0














              The exterior (= outer) product takes values in a "higher" dimensional space: if $V$ has dimension $n$ and $v, w in V$ then $v wedge w in Lambda^2(V)$ and that space has dimension $binom{n}{2}$, which is bigger than $n$ when $n > 3$. In Euclidean space, the wedge product of two vectors is represented by a parallelogram with the original vectors as its edges.



              The inner/outer terminology goes back to Grassmann.






              share|cite|improve this answer





























                0














                Well if I take the inner product of two vectors I go from the full vector space down to the base field over which it's defined so its internal in that regard. As for the outer product I think of this in terms of matrix multiplication, if we reverse the inner product $x^Ty$ to $xy^T$ for column vectors in a space of dimension $n$ instead we end up with a matrix which is a larger vector space than the original space with $n^2$ dimensions. Metaphorically I think of this as identifying a vector space with a subspace of a larger space, and the rest of that space is "outer space" in the same way the Earth is in a much larger universe.






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                  4 Answers
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                  active

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                  4 Answers
                  4






                  active

                  oldest

                  votes









                  active

                  oldest

                  votes






                  active

                  oldest

                  votes









                  2














                  This terminology (or rather its literal German translation) was introduced by Grassmann.




                  I named the former product exterior, the latter interior, reflecting that the former was nonzero only when involving independent directions, the latter only when involving a shared, i.e., partly common one.



                  H. Grassmann, Die lineale Ausdehnungslehre [archive.org] (1844) x-xi.




                  NB the words in the original text translated in the above excerpt to exterior and interior are respectively äussere and innere, but can also be translated respectively to outer and inner, and now all four terms have distinct meanings in this context.



                  For more detail, see the answer to essentially the same question on MathOverflow, from where the above translation was lifted (which motivated setting this answer as a community wiki answer):




                  Etymology of "exterior" in "exterior calculus".







                  share|cite|improve this answer




























                    2














                    This terminology (or rather its literal German translation) was introduced by Grassmann.




                    I named the former product exterior, the latter interior, reflecting that the former was nonzero only when involving independent directions, the latter only when involving a shared, i.e., partly common one.



                    H. Grassmann, Die lineale Ausdehnungslehre [archive.org] (1844) x-xi.




                    NB the words in the original text translated in the above excerpt to exterior and interior are respectively äussere and innere, but can also be translated respectively to outer and inner, and now all four terms have distinct meanings in this context.



                    For more detail, see the answer to essentially the same question on MathOverflow, from where the above translation was lifted (which motivated setting this answer as a community wiki answer):




                    Etymology of "exterior" in "exterior calculus".







                    share|cite|improve this answer


























                      2












                      2








                      2






                      This terminology (or rather its literal German translation) was introduced by Grassmann.




                      I named the former product exterior, the latter interior, reflecting that the former was nonzero only when involving independent directions, the latter only when involving a shared, i.e., partly common one.



                      H. Grassmann, Die lineale Ausdehnungslehre [archive.org] (1844) x-xi.




                      NB the words in the original text translated in the above excerpt to exterior and interior are respectively äussere and innere, but can also be translated respectively to outer and inner, and now all four terms have distinct meanings in this context.



                      For more detail, see the answer to essentially the same question on MathOverflow, from where the above translation was lifted (which motivated setting this answer as a community wiki answer):




                      Etymology of "exterior" in "exterior calculus".







                      share|cite|improve this answer














                      This terminology (or rather its literal German translation) was introduced by Grassmann.




                      I named the former product exterior, the latter interior, reflecting that the former was nonzero only when involving independent directions, the latter only when involving a shared, i.e., partly common one.



                      H. Grassmann, Die lineale Ausdehnungslehre [archive.org] (1844) x-xi.




                      NB the words in the original text translated in the above excerpt to exterior and interior are respectively äussere and innere, but can also be translated respectively to outer and inner, and now all four terms have distinct meanings in this context.



                      For more detail, see the answer to essentially the same question on MathOverflow, from where the above translation was lifted (which motivated setting this answer as a community wiki answer):




                      Etymology of "exterior" in "exterior calculus".








                      share|cite|improve this answer














                      share|cite|improve this answer



                      share|cite|improve this answer








                      edited 1 hour ago


























                      community wiki





                      2 revs
                      Travis
























                          1














                          Consider the case n=3. The interior product of two vectors is non-zero when one lives in the span of the other. The outer product of two vectors is non-zero when one lives outside the span of the other.



                          This terminology can be traced back to one of the earlier German texts on linear algebra but I can't quite recall the name. I'll come back if I recall it.



                          EDIT: Found my source. Take a look at section 1.2 of this.






                          share|cite|improve this answer


























                            1














                            Consider the case n=3. The interior product of two vectors is non-zero when one lives in the span of the other. The outer product of two vectors is non-zero when one lives outside the span of the other.



                            This terminology can be traced back to one of the earlier German texts on linear algebra but I can't quite recall the name. I'll come back if I recall it.



                            EDIT: Found my source. Take a look at section 1.2 of this.






                            share|cite|improve this answer
























                              1












                              1








                              1






                              Consider the case n=3. The interior product of two vectors is non-zero when one lives in the span of the other. The outer product of two vectors is non-zero when one lives outside the span of the other.



                              This terminology can be traced back to one of the earlier German texts on linear algebra but I can't quite recall the name. I'll come back if I recall it.



                              EDIT: Found my source. Take a look at section 1.2 of this.






                              share|cite|improve this answer












                              Consider the case n=3. The interior product of two vectors is non-zero when one lives in the span of the other. The outer product of two vectors is non-zero when one lives outside the span of the other.



                              This terminology can be traced back to one of the earlier German texts on linear algebra but I can't quite recall the name. I'll come back if I recall it.



                              EDIT: Found my source. Take a look at section 1.2 of this.







                              share|cite|improve this answer












                              share|cite|improve this answer



                              share|cite|improve this answer










                              answered 1 hour ago









                              Wraith1995

                              598315




                              598315























                                  0














                                  The exterior (= outer) product takes values in a "higher" dimensional space: if $V$ has dimension $n$ and $v, w in V$ then $v wedge w in Lambda^2(V)$ and that space has dimension $binom{n}{2}$, which is bigger than $n$ when $n > 3$. In Euclidean space, the wedge product of two vectors is represented by a parallelogram with the original vectors as its edges.



                                  The inner/outer terminology goes back to Grassmann.






                                  share|cite|improve this answer


























                                    0














                                    The exterior (= outer) product takes values in a "higher" dimensional space: if $V$ has dimension $n$ and $v, w in V$ then $v wedge w in Lambda^2(V)$ and that space has dimension $binom{n}{2}$, which is bigger than $n$ when $n > 3$. In Euclidean space, the wedge product of two vectors is represented by a parallelogram with the original vectors as its edges.



                                    The inner/outer terminology goes back to Grassmann.






                                    share|cite|improve this answer
























                                      0












                                      0








                                      0






                                      The exterior (= outer) product takes values in a "higher" dimensional space: if $V$ has dimension $n$ and $v, w in V$ then $v wedge w in Lambda^2(V)$ and that space has dimension $binom{n}{2}$, which is bigger than $n$ when $n > 3$. In Euclidean space, the wedge product of two vectors is represented by a parallelogram with the original vectors as its edges.



                                      The inner/outer terminology goes back to Grassmann.






                                      share|cite|improve this answer












                                      The exterior (= outer) product takes values in a "higher" dimensional space: if $V$ has dimension $n$ and $v, w in V$ then $v wedge w in Lambda^2(V)$ and that space has dimension $binom{n}{2}$, which is bigger than $n$ when $n > 3$. In Euclidean space, the wedge product of two vectors is represented by a parallelogram with the original vectors as its edges.



                                      The inner/outer terminology goes back to Grassmann.







                                      share|cite|improve this answer












                                      share|cite|improve this answer



                                      share|cite|improve this answer










                                      answered 1 hour ago









                                      KCd

                                      16.5k4075




                                      16.5k4075























                                          0














                                          Well if I take the inner product of two vectors I go from the full vector space down to the base field over which it's defined so its internal in that regard. As for the outer product I think of this in terms of matrix multiplication, if we reverse the inner product $x^Ty$ to $xy^T$ for column vectors in a space of dimension $n$ instead we end up with a matrix which is a larger vector space than the original space with $n^2$ dimensions. Metaphorically I think of this as identifying a vector space with a subspace of a larger space, and the rest of that space is "outer space" in the same way the Earth is in a much larger universe.






                                          share|cite|improve this answer


























                                            0














                                            Well if I take the inner product of two vectors I go from the full vector space down to the base field over which it's defined so its internal in that regard. As for the outer product I think of this in terms of matrix multiplication, if we reverse the inner product $x^Ty$ to $xy^T$ for column vectors in a space of dimension $n$ instead we end up with a matrix which is a larger vector space than the original space with $n^2$ dimensions. Metaphorically I think of this as identifying a vector space with a subspace of a larger space, and the rest of that space is "outer space" in the same way the Earth is in a much larger universe.






                                            share|cite|improve this answer
























                                              0












                                              0








                                              0






                                              Well if I take the inner product of two vectors I go from the full vector space down to the base field over which it's defined so its internal in that regard. As for the outer product I think of this in terms of matrix multiplication, if we reverse the inner product $x^Ty$ to $xy^T$ for column vectors in a space of dimension $n$ instead we end up with a matrix which is a larger vector space than the original space with $n^2$ dimensions. Metaphorically I think of this as identifying a vector space with a subspace of a larger space, and the rest of that space is "outer space" in the same way the Earth is in a much larger universe.






                                              share|cite|improve this answer












                                              Well if I take the inner product of two vectors I go from the full vector space down to the base field over which it's defined so its internal in that regard. As for the outer product I think of this in terms of matrix multiplication, if we reverse the inner product $x^Ty$ to $xy^T$ for column vectors in a space of dimension $n$ instead we end up with a matrix which is a larger vector space than the original space with $n^2$ dimensions. Metaphorically I think of this as identifying a vector space with a subspace of a larger space, and the rest of that space is "outer space" in the same way the Earth is in a much larger universe.







                                              share|cite|improve this answer












                                              share|cite|improve this answer



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                                              answered 1 hour ago









                                              CyclotomicField

                                              2,1821313




                                              2,1821313






























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