[HN Gopher] Why tensors? A beginner's perspective
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       Why tensors? A beginner's perspective
        
       Author : mfn
       Score  : 131 points
       Date   : 2022-03-09 02:20 UTC (1 days ago)
        
 (HTM) web link (mfaizan.github.io)
 (TXT) w3m dump (mfaizan.github.io)
        
       | 725686 wrote:
       | A wonderful little video to understand what tensors are, by
       | Daniel Fleish:
       | 
       | https://www.youtube.com/watch?v=f5liqUk0ZTw
       | 
       | Very simple and basic.
       | 
       | Edit: incorrectly wrote vectors instead of tensors.
        
       | saberience wrote:
       | This doesn't seem like it's for beginners.
        
         | brummm wrote:
         | Hmm, this is stuff physicists learn in their first year
         | undergrad classes for mathematical foundations. Seems to me
         | it's the very definition of beginner.
        
         | VeninVidiaVicii wrote:
         | > Most commonly, a tensor is defined as being anything that
         | transforms like a tensor.
         | 
         | Definitely not beginner level.
        
       | ericphanson wrote:
       | I was happy to see that this article is actually talking about
       | tensors, not just multidimensional arrays (which for some reasons
       | are often called tensors by machine learning folks).
        
         | lalaithion wrote:
         | This is mostly a semantic argument, but I find this to be a
         | very annoying perspective. Given a basis, there is a natural
         | isomorphism between tensors of a certain type and
         | multidimensional arrays of certain dimensions.
        
           | edflsafoiewq wrote:
           | Of course there is, but if you perform an operation on a
           | multidimensional array, there is no guarantee it corresponds
           | to an operation on tensors, ie. the resulting tensor may
           | depend on the basis.
        
             | lalaithion wrote:
             | Sure, if you perform an _arbitrary_ operation on a
             | multidimensional array. But the same is true of any
             | representation of any mathematical object. It makes no
             | physical sense to take the sine of a mass, or two to the
             | power of a length. But that doesn 't mean that whenever
             | someone says "oh, the mass of an object is a real number" I
             | need to nitpick them.
        
         | kaashif wrote:
         | It's not clear to me what you're annoyed about exactly. The way
         | I see it, there are a few options:
         | 
         | You're getting annoyed that people are confusing the map with
         | the territory [1]. Multidimensional arrays with certain
         | properties can be used to represent tensors, but aren't
         | tensors. In the same way a diagram of torus isn't a topological
         | space, or a multiplication table isn't a group, or a matrix is
         | not a linear map. Isomorphic but not literally the thing.
         | 
         | Or you're annoyed that people forget an array representing a
         | tensor needs to satisfy some transformation law and can't just
         | be any big array with some numbers in it.
         | 
         | Or maybe you're a fan of basis-free linear algebra!
         | 
         | Which one is it?
         | 
         | 1: https://en.wikipedia.org/wiki/Map%E2%80%93territory_relation
        
           | ummonk wrote:
           | I personally am a fan of basis free linear algebra.
           | 
           | More importantly though, "tensors" as commonly used in
           | machine learning seem to rely on a single special basis, so
           | they really are just multidimensional arrays. A machine
           | learning algorithm isn't really invariant under a change of
           | basis. For example, the ReLU activation function is not
           | independent of a change of basis.
        
         | jstx1 wrote:
         | Same word, different contexts and meaning. In ML tensors _are_
         | multidimensional arrays (and nothing more). Neither physicists
         | nor ML researchers /developers are confused about what it
         | means.
        
           | lysecret wrote:
           | I am a bit confused
        
           | lanstin wrote:
           | I'm pretty sure that a multidimensional array was the
           | original implementation of tensors and the more fancy linear
           | forms formalism came later in the twentieth century. Then the
           | question was how do these multidimensional arrays operate on
           | vectors and how do they transport around a manifold. (Source:
           | first book I read on general relativity in the 1970s had a
           | lot of pages about multidimensional arrays and also this good
           | summary of the history:
           | https://math.stackexchange.com/questions/2030558/what-is-
           | the...
           | 
           | (Sort of like how vectors kind of got going via a list of
           | numbers and then they found the right axioms for vector
           | spaces and then linear algebra shifted from a lot of
           | computation to a sort of spare and elegant set of theorems on
           | linearity).
        
             | westurner wrote:
             | AFAIU, Matrices are categorically subsets of Tensors where
             | the product operator, at least, is not the tensor product
             | but the Dot product.
             | 
             | Dot product: https://en.wikipedia.org/wiki/Dot_product
             | 
             | Matrix multiplication > Dot product, bilinear form and
             | inner product: https://en.wikipedia.org/wiki/Matrix_multipl
             | ication#Dot_prod...
             | 
             | > _The dot product of two column vectors is the matrix
             | product_
             | 
             | Tensor > Geometric objects
             | https://en.wikipedia.org/wiki/Tensor :
             | 
             | > _The transformation law for a tensor behaves as a functor
             | on the category of admissible coordinate systems, under
             | general linear transformations (or, other transformations
             | within some class, such as local diffeomorphisms.) This
             | makes a tensor a special case of a geometrical object, in
             | the technical sense that it is a function of the coordinate
             | system transforming functorially under coordinate
             | changes.[24] Examples of objects obeying more general kinds
             | of transformation laws are jets and, more generally still,
             | natural bundles.[25][26]_
        
           | hnarayanan wrote:
           | I was confused by this when I first got to ML.
        
           | cloogshicer wrote:
           | > Neither physicists nor ML researchers/developers are
           | confused about what it means.
           | 
           | I'm sure this has confused _a lot_ of people, especially
           | beginners. Clashing terminology is one of the main
           | difficulties in interdisciplinary work, in my experience. I
           | don 't think it's good to shrug it off like that.
        
             | russellbeattie wrote:
             | I'm literally learning this, or at least being reminded of
             | something I had totally forgotten, as I read this thread.
             | So yeah.
             | 
             | Words can have multiple meanings, but I think we can all
             | agree it's preferable if they don't have multiple _slightly
             | different depending on context_ meanings. That 's just
             | confusing.
        
         | The_rationalist wrote:
         | What is the difference?
        
           | kgwgk wrote:
           | Something like the difference between a "vector" of length N
           | which is just a collection of N numbers and one that is a
           | representation of a N-dimensional geometric algebra object.
        
           | icapybara wrote:
           | Tensors have additional properties that arrays don't
           | necessarily have. For example, the coordinate system
           | transform rule that the author describes in the beginning of
           | the post.
           | 
           | One of my old physics professors taught us to think of
           | tensors as "arrays with units." If it's a
           | vector/matrix/higher dimensional array but has physical
           | units, it's probably a tensor. The fact that it has units
           | means it represents something physical which must obey
           | additional constraints (like the coordinate system
           | transformation rule).
        
             | omarhaneef wrote:
             | Since I also thought Tensors were just higher dimension
             | arrays, isn't this really what ML folks think Tensors are,
             | since they (we?) do attach units to the Tensors most of the
             | time?
        
               | ogogmad wrote:
               | The physicist's approach is a bit non-conceptual. From a
               | mathematical point of view, a tensor is essentially an
               | arbitrary multi-linear map. Think of the dot product, the
               | determinant of a matrix (which is linear on each _column_
               | but is not linear on a matrix), the exterior product in
               | exterior algebra (or geometric algebra), a linear map
               | itself (which is obviously a special case of a
               | multilinear map), etc.
               | 
               | The coordinate change stuff that physicists talk about
               | stems from observing that a matrix can be used to
               | represent _some_ tensors, but the rule for changing basis
               | changes along with the kind of tensor. So if M is a
               | matrix which represents a linear map and P is a matrix
               | whose columns are basis vectors, then PMP^{-1} is the
               | same linear map as M but in basis P; if on the other hand
               | the matrix M represents a bilinear form as opposed to a
               | linear map, then the basis change formula is actually
               | PMP^T, where we use the matrix transpose. _Sylvester 's
               | Law Of Inertia_ is then a non-trivial observation about
               | matrix representations of bilinear forms.
               | 
               | Physicists conflate a tensor with its representation in
               | some coordinate system. Then they show how changing the
               | coordinate system changes the coordinates. This point of
               | view does provide some concrete intuition, though, so
               | it's not all bad. By a coordinate system, I mean a linear
               | basis.
               | 
               | Hope that helps.
        
               | cygx wrote:
               | _Physicists conflate a tensor with its representation in
               | some coordinate system_
               | 
               | Rather, mathematicians that complain about the
               | physicist's approach just haven't advanced far enough in
               | their studies to understand how vector bundles are
               | associated to the frame bundle ;)
        
               | ummonk wrote:
               | Not all physicists make that conflation - Wald's book in
               | General Relativity emphasizes tensors as abstract
               | concepts, and then details how they can be expressed in
               | terms of a basis.
               | 
               | The OP also emphasizes the abstract interpretation as
               | providing more intuition than the coordinate
               | transformation rule.
        
               | ajkjk wrote:
               | There are really just two things called tensors.
               | 
               | Physicists' tensors = generalization of arrays with
               | units; have to transform according to certain coordinate
               | laws.
               | 
               | Mathematicians' tensors = generalization of arrays,
               | transformation rules don't matter.
        
               | red_trumpet wrote:
               | But they are not totally different! The Physicists'
               | tensors are actually Mathematicians' tensors, but
               | parametrized by some parameters (coordinates). Then you
               | have special laws what happens if you make a (possibly
               | non-linear) change of the coordinates. See
               | https://en.wikipedia.org/wiki/Tensor#Tensor_fields
        
               | klodolph wrote:
               | > Mathematicians' tensors = generalization of arrays,
               | transformation rules don't matter.
               | 
               | That's definitely inaccurate, at least it doesn't match
               | what I think of as tensors in mathematics.
               | 
               | In mathematics, tensors are the most general result of a
               | bilinear opteration. This does imply that they transform
               | according to certain laws: if you represent the tensor
               | using some particular basis, that basis can be expressed
               | in the original vector spaces you multiplied, and
               | choosing a different basis for your vector spaces results
               | in a different basis for your tensors.
               | 
               | By "most general bilinear operation" I am talking about
               | what is expressed in category theory as a universal
               | property... with a morphism that preserves bilinear maps.
               | 
               | Tensors can be over multiple vector spaces or a single
               | vector space (in which case it's typically implied that
               | it's over the vector space and its dual). When you use a
               | vector space and its dual, I believe you get the kind of
               | tensor that physicists deal with, and all of the same
               | properties. Note that while vector spaces and their dual
               | may seem to be equivalent at first glance (and they are
               | isomorphic in finite-dimensional cases), both
               | mathematicians and physicists must know that they have
               | different structure and transform differently.
               | 
               | Something that will throw you off is that mathematicians
               | often like to use category theory and "point free"
               | reasoning where you talk about vector spaces and tensor
               | products in terms of things like objects and morphisms,
               | and often avoid talking about actual vectors and tensors.
               | Physicists talk about tensors using much more concrete
               | terms and specify coordinate systems for them. It can
               | require some insight in order to figure out that
               | mathematicians and physicists are actually talking about
               | the same thing, and figure out how to translate what a
               | physicist says about a tensor to what a mathematician
               | says.
        
             | uoaei wrote:
             | This is a pretty tired line, I gotta say.
             | 
             | Obviously they are not. One is a linear operator, the other
             | is a data structure for implementing computations using
             | that operator. This description extends to all tensors.
             | 
             | It's like saying "queues are not just lists". That is true
             | and also neither insightful nor helpful.
             | 
             | I don't see it as mystifying or complicated, what am I
             | missing?
        
               | ummonk wrote:
               | Sure but if you're working with lists you shouldn't call
               | them queues. Similarly if you're working with mere
               | multidimensional arrays don't call them tensors.
        
       | Beldin wrote:
       | The way I think of it: you have 0-dimensional arrays of numbers
       | (plain numbers or scalars). You have 1-dimensional arrays of
       | numbers (a list of N numbers or an N-vector). You have
       | 2-dimensional arrays of numbers (an NxM matrix). We can extend
       | this concept to 3- and 4-dimensional arrays and even further.
       | 
       | The kicker? _All_ of them are tensors. Tensor is just a
       | generalisation of the concept.
       | 
       | I am no licensed mathematician, so this could be off. However,
       | every time I dive into this topic, I have to wade through way too
       | complex mathnobabble to arrive at that notion. So let's keep it
       | simple: tensors are a mathematician's template for arrays of any
       | dimension.
        
       | bmitc wrote:
       | Anyone interested in a visual exploration should checkout
       | _Geometrical Vectors_ by Gabriel Weinreich.
       | 
       | https://www.maa.org/press/maa-reviews/geometrical-vectors
        
         | billfruit wrote:
         | Is there any book that treats whole off geometry using vectors?
        
           | bmitc wrote:
           | I'm not sure I understand the question enough to answer. Do
           | you mean something like differential geometry? There, the
           | theory is built upon vectors and covectors (i.e.,
           | differential forms) that are associated with tangent spaces
           | and cotangent spaces, respectively. But that is modern
           | differential geometry and not classical geometry.
        
       | Koshkin wrote:
       | Here is a _really_ good resource for a beginner:
       | 
       | https://grinfeld.org/books/An-Introduction-To-Tensor-Calculu...
        
         | ok123456 wrote:
         | Is that you Pavel?
        
       | beaconstudios wrote:
       | OK that helps me to understand why tensorflow is called what it
       | is - if a tensor turns a set of vectors into a scalar that's
       | exactly what an artificial neuron does with weights and inputs,
       | and they are linked up to form a data flow graph.
        
       | chobytes wrote:
       | My version is just: Tensors allow us to write data and operations
       | on data in a way which does not depend on how we chose to
       | represent them.
       | 
       | For example, if I have a vector x in V and a map T from V to W,
       | then I would like the truth of T(x)=y to be independent of how I
       | represent T and x.
        
         | zardo wrote:
         | I like the concrete example from when I first used tensors in
         | school. Stress in a block of concrete. You can choose any basis
         | you like to represent the stresses and transform between them.
         | 
         | Whether or not the concrete block breaks under that stress
         | obviously does not depend on your choice of basis or units, so
         | your transformation rules had better reflect that reality.
        
       | xyzzyz wrote:
       | That was explanation from a perspective of someone acquainted
       | with modern physics. As such, it will make sense to physicist,
       | but no sense to most everyone else, including mathematicians who
       | don't know modern physics.
       | 
       | For example, in the beginning, author describes tensors as things
       | behaving according to tensor transformation formula. This is
       | already very much a physicist kind of thinking: it assumes that
       | there is some object out there, and we're trying to understand
       | what it is in terms of how it behaves. It also uses the summation
       | notation which is rather foreign to non-physicist mathematicians.
       | Then, when it finally reaches the point where it is all related
       | to tensors in TensorFlow sense, we find that there is no
       | reference made to the transformation formula, purportedly so
       | crucial to understanding tensors. How comes?
       | 
       | The solution here is quite simple: what author (and physicists)
       | call tensors is not what TensorFlow (and mathematicians) call
       | tensors. Instead, author describes what mathematicians call "a
       | tensor _bundle_ ", which is a correspondence that assigns each
       | point of space a unique _tensor_. That's where the transformation
       | rule comes from: if we describe this mapping in terms of some
       | coordinate system (as physicist universally do), the
       | transformation rule tells you how to this description changes in
       | terms of change of the coordinates. This setup, of course, has
       | little to do with TensorFlow, because there is no space that its
       | tensors are attached to, they are just standalone entities.
       | 
       | So what are the mathematician's (and TensorFlow) tensors? They're
       | actually basically what the author says, after very confusing and
       | irrelevant introduction talking about change of coordinates of
       | underlying space -- irrelevant, because TensorFlow tensors are
       | not attached as a bundle to some space (manifold) as they are on
       | physics, so no change of space coordinates ever happens. Roughly,
       | tensors are a sort of universal objects representing multi linear
       | maps: bilinear maps V x W -> R correspond canonically one-to-one
       | to regular linear maps V (x) W -> R, where V (x) W is a vector
       | space called tensor product of V and W, and tensors are simply
       | vectors in this tensor product space.
       | 
       | Basically, the idea is to replace weird multi linear objects with
       | normal linear objects (vectors), that we know how to deal with,
       | using matrix multiplication and stuff. That's all there is to it.
        
         | mr_mitm wrote:
         | Thanks for this summary.
         | 
         | Even as a physicist I found it highly confusing when I got told
         | in physics classes that a tensor is "just a thing (or object)
         | that behaves like so under coordinate transformation". Like,
         | what do you mean by "thing"? I have no intuition to this yet, I
         | need it concise definitions! Fortunately I took a differential
         | geometry class at the same time, which was really helpful.
        
         | ABeeSea wrote:
         | > Instead, author describes what mathematicians call "a tensor
         | bundle", which is a correspondence that assigns each point of
         | space a unique tensor.
         | 
         | Technically, that's a tensor field which is a section of the
         | tensor bundle. Similarly, a vector field is a section of the
         | tangent bundle (the collection of all the tangent spaces of the
         | points on the manifold). A vector field is just a choice of a
         | tangent vector for each point from that point's tangent space.
        
         | hinkley wrote:
         | > author describes tensors as things behaving according to
         | tensor transformation formula
         | 
         | In grade school it drove me nuts when the homework required us
         | to describe a word without using the word (or it's Latinate
         | siblings). And yet as an adult there are few enough weeks that
         | go by where some grownup doesn't try to pull that same trick.
         | 
         | If you think developers are guilty of circular logic, check out
         | some of the math pages on Wikipedia. You can get lost in
         | moments.
        
           | jhokanson wrote:
           | Speaking of math pages on Wikipedia ... and math text more
           | generally
           | 
           | Is it just me or are we horrible at teaching advanced math?
           | Where are the examples (with actual numbers)? Where is the
           | motivation? Where are the pictures?
        
             | GoatOfAplomb wrote:
             | > Where are the examples (with actual numbers)?
             | 
             | In upper-level undergraduate math, I made a game of seeing
             | how many pages I would go before seeing 7 printed anywhere.
             | It was usually 10 pages, if I included the page numbers.
        
             | chobytes wrote:
             | This is definitely a problem! Having a large set of
             | interests and problems to draw examples and intuition from
             | are how I deal with it. I suspect this is why so many
             | mathematicians are also into physics.
        
               | exdsq wrote:
               | 100%! For those of us who need to learn from practical
               | examples through to generalized intuition maths can be
               | really really hard to learn depending on the source. Wish
               | I was one of those people who finds it easier to learn
               | from abstract first through to implementations second.
        
             | joppy wrote:
             | Wikipedia is a terrible place to learn advanced
             | mathematics, for the reasons you raise (and more). There
             | are lots of terrific short books, and many terrific
             | lectures online.
        
             | hinkley wrote:
             | Randall Monroe has a comic about how most people need
             | enough math to be able to handle a birthday dinner where
             | the guests split the bill for the birthday boy/girl evenly
             | and pay for their meals and tip separately.
             | 
             | That's a pretty good bar and I wonder if we could just cut
             | to that chase earlier. But I also believe that people need
             | enough math to see when they're being cheated, and I feel
             | like you could just tell middle schoolers that and they
             | would pay attention. Maybe even primary school.
             | 
             | You told Billy he could have three apples, and now there
             | are two left. Did Billy take more apples than he should
             | have?
             | 
             | It's always how do you share your cookies fairly with your
             | friends and if they're my cookies why do I have to share
             | them at all? Screw "fairly" I'm keeping the extras at
             | least. That sort of sharing is a socially advanced concept
             | they don't entirely get just yet.
        
           | chobytes wrote:
           | I think a lot of circularity occurs in mathematics because we
           | don't typically qualify our utterances when it can be
           | implicitly understood.
           | 
           | Eg "Numbers (formal) are those objects which behave like
           | numbers (informal)."
        
             | dboreham wrote:
             | Bertrand Russell turns over in grave.
        
         | hansen wrote:
         | To be a bit pedantic: the identification of tensors with
         | multilinear forms requires finite dimensions (or reflexive
         | topological spaces).
        
         | tagrun wrote:
         | It has nothing to do with tensor fields, uniform/constant
         | tensors still obey the proper coordinate transformations,
         | that's the defining property of any tensor. (With non-uniform
         | tensor fields, covariant derivatives also pick up a correction,
         | but that's a separate thing.)
         | 
         | TensorFlow "tensor"(and most other use of "tensor" in
         | programmer jargon) is not a tensor at all, it's just a
         | multidimensional array.
        
           | catgary wrote:
           | What do you think the tensor product of finite dimensional
           | vector spaces looks like?
        
           | contravariant wrote:
           | Mathematicians would disagree with you there. There are no
           | coordinates to transform in an ordinary tensor space and
           | therefore no way for a tensor to be affected by such a
           | transformation.
           | 
           | Matrices (or linear transformations in general) are important
           | examples of tensors. There's a nice adjunction between tensor
           | spaces A(x)B and the space of linear transformations B=>C
           | given by:
           | 
           | Hom(A(x)B, C) = Hom(A, B=>C)
           | 
           | In the case of Tensorflow I think they do actually still talk
           | about linear transformations of some kind so it's perfectly
           | fine to call them tensors.
        
             | cygx wrote:
             | _There are no coordinates to transform in an ordinary
             | tensor space and therefore no way for a tensor to be
             | affected by such a transformation._
             | 
             | Sure there are: Any basis of the underlying vector space(s)
             | induces a basis of the tensor space. Components respective
             | to some basis are coordinates. You can then investigate
             | what happens to the induced basis (or rather, the
             | respective components) under a basis transformation of the
             | underlying vector space(s), which is where the
             | "physicist's" definition of tensors originates.
        
               | contravariant wrote:
               | The components of a vector aren't the same as the
               | coordinates physicists talk about when they're dealing
               | with tensors. The components would be something like the
               | value of the magnetic potential, or the local wind speed.
               | The coordinates would be the location where that
               | particular vector is 'anchored'.
               | 
               | A change of coordinates does indeed induce a change of
               | basis, but a change of basis isn't really a change of
               | coordinates. And strictly speaking some vector spaces
               | don't really have an obvious basis (without invoking
               | choice), so having a basis be a prerequisite for the
               | definition is not ideal.
               | 
               | The whole requirement that a tensor is 'something that
               | transforms like [...] under a coordinate transformation'
               | is just how physicists have chosen to phrase that a
               | vector bundle is only well defined if it's definition
               | isn't dependent on some arbitrary choice of coordinates.
               | In my opinion this requirement is more easily apparent in
               | the mathematical definition where _there is no choice of
               | coordinates in the first place_ , rather than the
               | physicists way of working with some choice of coordinates
               | and checking how things transform.
        
               | cygx wrote:
               | I'm aware. Though if we want to be more precise, that's
               | about tensor fields, where the basis transformations of
               | the underlying vector bundles (the tangent and cotangent
               | bundle) are in turn induced by coordinate transformations
               | of the base manifold.
               | 
               | However, physicists get introduced to tensors far earlier
               | than any excursions into differential geometry when
               | discussing rigid bodies.
        
               | contravariant wrote:
               | Yes I'd also call those tensor fields. The main point I'm
               | trying to make is that the tensor transformation law
               | _only_ makes sense for such fields.
        
               | cygx wrote:
               | The terms co- and contravariant make sense on a purely
               | algebraic basis, with components of tensors transforming
               | 'the same as' or 'opposite to' the basis vectors. That
               | the basis transformation is induced by transformations of
               | some base manifold is incidental.
        
               | ummonk wrote:
               | Exactly. The fact that the bases are related to
               | coordinates on the manifold is a property of differential
               | geometry but the laws for transformation between bases
               | are more general.
        
         | kaashif wrote:
         | > author describes tensors as things behaving according to
         | tensor transformation formula
         | 
         | Yeah, the idea that there are pre-existing things that we're
         | trying to describe is somewhat weird to me when we're trying to
         | come up with a definition of a tensor. The whole point of
         | mathematics is that you come up with the definitions and
         | theorems fall out.
         | 
         | In particular, this comment is funny and speaks to some
         | difference in how I and the author view what we're doing when
         | defining a tensor:
         | 
         | > But why that specific transformation law - why must tensors
         | transform in that way in order to preserve whatever object the
         | tensor represents?
         | 
         | Because we defined it like that! When you make the definition
         | "a tensor is a thing that follows X laws", you don't get to ask
         | _why_ , you just defined it!
         | 
         | Just a funny bit of phrasing, I get what is meant :)
        
           | edflsafoiewq wrote:
           | > The whole point of mathematics is that you come up with the
           | definitions and theorems fall out.
           | 
           | That's just how it's presented in textbooks. It's obviously
           | not math is actually done.
        
         | ummonk wrote:
         | The post was also a poor explanation for someone doing modern
         | physics. [edit: not true actually I should have read the rest
         | of the post - it's a good post]
         | 
         | Wald's approach in General Relativity is much better - he
         | treats Tensors as a multilinear map from vectors and dual
         | vectors to scalars.
         | 
         | He then derives the underlying coordinate transformaton rules,
         | for the vector spaces used in differential geometry. But
        
           | mfn wrote:
           | That's the approach I used as well in the second half of the
           | article - I just mentioned the transformation law in the
           | beginning since that's what most physics students encounter
           | first.
           | 
           | Most of the article tries to provide some intuition behind
           | why multilinear maps, which sound like a fairly abstract
           | concept, might be relevant in physics. The key link being the
           | importance of coordinate invariance.
           | 
           | I didn't go into deriving the coordinate transforms from the
           | multilinear map definition as I didn't feel that it'd provide
           | much better intuition, but I did mention the equivalence near
           | the end.
        
             | ummonk wrote:
             | Yeah sorry you're right - I should have read the rest of
             | your post, which is excellent and describes precisely why
             | the coordinates/transformations focused definition is bad
             | for one's intuition.
        
         | mbbutler wrote:
         | Why are you complaining that the author didn't talk about
         | tensors as they are used in tensorflow? Tensorflow is never
         | even mentioned in the piece.
         | 
         | The author is perfectly clear in the first sentence that the
         | piece's focus is about the usefulness of tensors in a physics
         | context.
        
           | xyzzyz wrote:
           | Huh, you're right, not sure why I thought it's TensorFlow
           | related.
        
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