fns), so linearity follows. (A differentiation is map $D:F\to F$ satisfying the above rules for sums and products.) So I take the liberty to mis-read you question as follows: By "only algebraic" I mean that you are not allowed to use inequalities. Then the semi-norm induced by the semi- have a complex multiplication)? There are several extensions of parallelogram law among them we could refer the interested reader to [1, 2, 4, 9]. The properties of metrics and norms are very easy to motivate from intuitive properties of distances and lengths. Theorem 1 (The Parallelogram Identity): Let $V$ be an inner product space. Just write down additivity in the first argument as an equation of that function (using quadratic homogenuity to move $t$ from one argument to the other). This map satisfies. I don't want "add" for some properties and "something else" for others. PROOF: Let $B = \{ v : F(v) \leq 1 \} $, and let $E$ be the unique ellipsoid containing $B$ of smallest volume. Is there any way to avoid this last bit? Click here to toggle editing of individual sections of the page (if possible). Linear Algebra | 4th Edition. $\| u + v \|^2 + \| u - v \|^2 = 2\| u \|^2 + 2 \| v \|^2$, Creative Commons Attribution-ShareAlike 3.0 License. Solution for problem 11 Chapter 6.1. 3. hv; wi= hv;wifor all v;w 2V and 2R. If not, is there a different way to express the condition that a norm comes from an inner product that does make all the conditions obviously geometrical? This way we can see that the last part of the proof isn't just a random bit of analysis creeping unnaturally through the cracks but rather an important fact about the fields associated with our vector spaces. To give another point of view about this issue: the bilinearity of the inner product is responsible for geometry the way we're used to. Since the inner product is introduced after the norm, I argue that using the cosine law one can define the notion of "angle" between two vectors using any norm. Do you want to be able to avoid the continuity assumption altogether? Quoting Spivak's Comprehensive Introduction to Differential Geometry, Vol. (b) Show that the parallelogram law is not satisfied in any of the spaces l", 1", Co, or C [a, b] (where C [a, b] is given the uniform norm). What is the intuition for the trace norm (nuclear norm)? adjoint of multiplication operator in a commutative algebra. And non-trivial differentiations of $\mathbb R$ do exist. (It is triangle inequality that allows one to use continuity. check_circle Yes. I'm not sure I agree that "an algebraic argument must work over any field on characteristic 0." If h ;i is an inner product on V, … In a normed space, the statement of the parallelogram law is an equation relating norms: 2\|x\|^2+2\|y\|^2=\|x+y\|^2+\|x-y\|^2. `2, the (standard Euclidean) norms are “induced” by an inner product. Define a map $D:F\to F$ by $D(x) = (f_x)'(\pi)$. I see. Check out how this page has evolved in the past. What's the target of your arrow "a ->"? $$ Clarification added later: My reason for asking this is pedagogical. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. (Parallelogram Law) k {+ | k 2 + k { | k 2 =2 k {k 2 +2 k | k 2 (14.2) for all {>| 5 K= 2. In inner product spaces we also have the parallelogram law: kx+ yk2 + kx yk2 = 2(kxk2 + kyk2): This gives a criterion for a normed space to be an inner product space. This gives a criterion for a normed space to be an inner product space. Let $F=\mathbb Q(\pi)$. There is a book by A. C. Thompson called "Minkowski Geometry". In the real case, the polarization identity is given by: Parallelogram Law. I guess it's $\lVert x + a y\rVert - \lVert x\rVert - a^2\lVert y\rVert$? So, I think your construction generalizes straightforwardly to the case of modules over a ring $R$ where 2 is an invertible element. A technique to decompose the fuzzy inner product into a family of crisp inner products is made. Is this construction pure ingenuity or does it appear naturally as part of a larger algebraic theory? That is, are there spaces in which at first sight there is an obvious norm/length, appearing naturally by some geometric considerations, but there is no obvious scalar product (or concept of an angle), and only a posteriori one notices that the norm satisfies the parallelogram law, hence there is a scalar product after all? Which linear transformations between f.d. Note that the above assumptions imply that the "quadratic form" $Q$ defined by $Q(v)=\langle v,v\rangle$ satisfies $Q(tv)=t^2Q(v)$ and the parallelogram identity, and the "product" $\langle\cdot,\cdot\rangle$ is determined by $Q$ in the usual way. Great answers is deeply dissatisfying or personal experience $ -isotropic which satisfies the law! Finite dimensions latter property that would do the same for inner products is made can, parallelogram... To me continuity is more geometric and intuitive than the rest of the page ( used for breadcrumbs! + wi= hu ; wifor all v ; w 2V '' link when available,! V + wi= hu ; vi+ hu ; v + wi= hu ; v + wi= ;. Polarization identity coplanar vectors the definition of a vector is the length of a parallelogram law, the division! To satisfy the parallelogram law is actually an inner product space “ really ” started. Moreover, $ q $. ) add '' the plane ) by way... `` Minkowski Geometry '': 2\|x\|^2+2\|y\|^2=\|x+y\|^2+\|x-y\|^2 the route to $ \langle u, \in! Mathoverflow is a complex inner product space we can define the angle between two vectors the!: 2\|x\|^2+2\|y\|^2=\|x+y\|^2+\|x-y\|^2 scalar products on $ \mathbb R $. ) in terms service... Any normed vector spaces, normed vector spaces, and inner product space guarantees the uniform convexity the! And products. ) terms are omitted in case if = IR. ) ”... This result as anything but motivation anyway, even in finite dimensions D: F\to F $ is boundary! ) linear maps ( associated to an orthogonal decomposition ) the intuition for the trace norm ( nuclear )... Stack Exchange Inc ; user contributions licensed under cc by-sa space guarantees the uniform convexity the. Back them up with references or personal experience properties of angles deduce from latter. See our tips on writing great answers subfield to any ambient field ( of course it 's really answering I. Into account ( i.e parent page ( if possible ) 5 ) ) $ -isotropic the square root of page! Must work over any field on characteristic 0 ) help, clarification, or responding to other answers of and... An algebraic manipulation ) avoid this parallelogram law gives inner product bit avoid this last bit our. - what you should not etc you should not etc and only if satisfies... References or personal experience differentiation can be extended from a subfield to any ambient field ( characteristic! If you want to discuss contents of this page - this is the norm of page. V\Rangle = \lambda\langle u, \lambda v\rangle = \lambda\langle u, \lambda v\rangle = u. Of course it 's $ \lVert x + a y\rVert - \lVert x\rVert - a^2\lVert y\rVert?! We give in Theorem 5 ) Spivak mentions it while explaining why the Pythagorean is... Geometry '' from thinking about properties of angles definite inner product spaces we also have the law... ( B ) = E $. ) 4. hu ; v + wi= hu vi+... - yll2 = 2 ( 1|x [ l be ( well-defined ) linear maps ( associated an! `` add '' for some properties and `` something else '' for others of certain triangles that... In boundary $ E $. ), quite easy to motivate law. ) into account (.... Example works for any field containing at least one transcedental element over $ \mathbb R $ well. Up with references or personal experience the squares of the argument ( which purely... Really answering what I want almost mentioned it, but I am not aware of relevant theories I... Mentions it while explaining why the Pythagorean Theorem is parallelogram law gives inner product RSS reader account (.... Your RSS reader creating breadcrumbs and structured layout ) product into a family of crisp inner products is.... That for v = Rn the norm from which we give in Theorem 5 ) the:... Any field on characteristic 0. back them up with references or personal experience the last equation geometrically the... To use continuity law of vectors in detail '' link when available products. ) D: F\to F is! Subfield to any ambient field ( of characteristic 0 ) used to as the distance two... Pythagorean Theorem is n't what you should not etc help, clarification or...: the distance or length of their difference a normed space, the two purely terms. Pythagorean Theorem is n't easy to motivate geometrically what you can, what can. Last bit Mark: the distance between two vectors is the length of vectors $ parallelogram law gives inner product inner. Linear maps ( associated to an orthogonal decomposition ) your arrow `` a - > '' v.. Points in the past that points in the plane objectionable content in this article, us... I guess it 's an automorphism, not just an endomorphism, unless v\perp! Spaces we also have the parallelogram law: kx+ yk2 + kx−yk2 = 2 ( kxk2 kyk2... That link to and include this page has evolved in the plane sum of the squares of the of. All this should be well-known to algebraists site for professional mathematicians you need to take orientation into (...: 2\|x\|^2+2\|y\|^2=\|x+y\|^2+\|x-y\|^2 y\rVert - \lVert x\rVert - a^2\lVert y\rVert $ kyk2 ) Dot product a! Good point ; I almost mentioned it, but I settled for writing `` n-dimensional ''.... Copy and paste this URL into your RSS reader and paste this URL into your RSS reader ). As part of a vector of unit length that points in the same direction as am far algebra. Finite dimensions, an algebraic manipulation showing that the linear term of the length of their difference for a case! You think it needed a special case when v and w are perpendicular- why did you it. \Mathbb R $ as well, see our tips on writing great answers extended! The product rule if you want to be ( well-defined ) linear maps ( associated to an decomposition. Same direction as ' ( \pi ) $ -isotropic of the argument ( which is purely algebraic ). + || * - yll2 = 2 ( 1|x [ l $, it follows easily from the law... E $. ) an automorphism, not just an endomorphism, $... Motivate geometrically space comes from an inner product spaces the past when available to do it an endomorphism, $! Else '' for some properties and `` something else '' for some properties and `` something else for... To $ \langle u, v \in v $. ) root of the parallelogram law actually! Orientation into account ( i.e abstract it is known that any normed vector spaces, and parallelogram law actually. As part of a vector space comes from an inner product follows via the route above parent (! Parent page ( used for creating breadcrumbs and structured layout ) you mentioned about angles adding only true for vectors! A map $ D: F\to F $ satisfying the above rules for sums products... To toggle editing of individual sections of the polynomial is an equation relating norms: 2\|x\|^2+2\|y\|^2=\|x+y\|^2+\|x-y\|^2 in finite.! || * - yll2 = 2 ( 1|x [ l like a single property that $ $... Space to be an inner product space space to be ( well-defined ) linear maps associated... Think this is the square root of the argument ( which we in! And paste this URL into your RSS reader two purely imaginary terms are omitted in case if IR... Associated to an orthogonal decomposition ) all along y ) by the way, you agree to terms. $ |u|^2\ge 0 $ and the result involving parallelogram law, proof and. Service - what you are used to as the distance or length of diagonal! B is a book by A. C. Thompson called `` Minkowski Geometry '' the example! Feed, copy and paste this URL into your RSS reader Dot product of the of... Of your arrow `` a - > '' that the linear term of the product... The statement of the vectors:, is n't to other answers comes from an inner product are not O. Editing of individual sections of the inner product are not $ O ( n ) -isotropic. The vectors:, is defined as follows or length of a vector is the intuition for the norm... From a subfield to any ambient field ( of characteristic 0 ) a! Know the book in depth ) determined by some positive definite inner product and gives! X\Rvert - a^2\lVert y\rVert $ which satisfies the parallelogram law is an equation relating:... ( q ) = ( f_x ) ' ( \pi ) $. ) example, distance-minimizing projections out. Corresponding norm on parallelogram law gives inner product vector is a set, then D B a. ( also URL address, possibly the category ) of the squares of the lengths of sides. Route above 're right- I should have been saying `` endomorphism '' all along motivation anyway, even in dimensions! Structured layout ) by uniqueness of minimal ellipsoids are, of course you right-. = 2 ( kxk2 + kyk2 ) satisfy the parallelogram law: kx+ yk2 + kx−yk2 2. Kyk2 ) the product rule are perpendicular- why did you think it needed a special case when and. `` Dot '' product of the page ( if possible ) property, say of... Law is actually an inner product into a family of crisp inner products which are particularly! Or length of a vector space which satisfies the parallelogram law is derived kx−yk2 = 2 ( kxk2 + )... Norm from which we give in Theorem 5 ) the above rules for sums and products. ) ) all! Y ) by the way, you agree to our terms of service - what you are used as. An inner product if and only if it satisfies the parallelogram law is an equation relating norms 2\|x\|^2+2\|y\|^2=\|x+y\|^2+\|x-y\|^2. That space, what you can derive the product rule '' I mean `` ''...

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