Understanding Vector Spaces

When learning linear algebra, we will frequently hear the term "vector space". What is that? What are the requirements for being considered a vector space? Let's go over the properties of closure that are associated with vector spaces so that we can understand this important concept.
Script by Howard Whittle
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Пікірлер: 160

  • @courtneykramer6602
    @courtneykramer66022 жыл бұрын

    Dave you helped me all throughout high school, and now here you are helping me the night before my linear algebra exam while I'm in college studying for an aerospace engineering degree. You are the best !! :)

  • @pedromiguel106

    @pedromiguel106

    2 жыл бұрын

    bruuuh what a coincidence 'xD

  • @pedromiguel106

    @pedromiguel106

    2 жыл бұрын

    @MIDDLE east where you studying at :p Im at IST (Portugal)

  • @littlejunior8883

    @littlejunior8883

    2 жыл бұрын

    same lol

  • @alexkelley8342

    @alexkelley8342

    2 жыл бұрын

    what a coincidence i have a LinAlg exam tomorrow

  • @adityanaik2497

    @adityanaik2497

    2 жыл бұрын

    This shows everyone searches for exams one day before....by the way I too have my sem end😂😂

  • @matthewfrancis8470
    @matthewfrancis8470 Жыл бұрын

    I have been trying to learn this for an hour or two now and i m wondering why no one could explain this as simply as you. thank you so much

  • @asht7788
    @asht77884 жыл бұрын

    Your explanation is so concise. Now I see that the vector space properties and behavior are the same as we learned in earlier classes, but I don't know what is wrong with college instructors. It is like they can't explain it straight forward. Thank you Prof. Dave.

  • @hamidalrawi2204
    @hamidalrawi22045 жыл бұрын

    professor dave, you helped me through general chemistry 1 and 2 and organic chemistry and calculus 2 and physics mechanism, and now linear algebra. I am a heavy youtube learner, I never go to class I only learn by watching videos on youtube, and let me tell you, your videos are SERIOUSLY THE BEST in teaching the material, you are talented in teaching, you just make the material super easy for a 10 years old kid to understand. thank you.

  • @jamestennant7789

    @jamestennant7789

    2 жыл бұрын

    A 10-year-old kid wrote this and learned all that? How's it going Hamid? You must be 12 now

  • @AJ-qq7cg

    @AJ-qq7cg

    2 жыл бұрын

    wait you learned general chemistry 1 and 2 and organic chemistry and calculus 2 and physics mechanism and you are only 10 years old ????????????? How ?

  • @LizzyCreatesx

    @LizzyCreatesx

    2 жыл бұрын

    @@jamestennant7789 i think he meant that prof dave is so good at explaining, a ten year old kid could understand. If I'm wrong, we'll probably hear about Hamid's breakthrough in science soon lol

  • @awesomeswordsman8231
    @awesomeswordsman8231 Жыл бұрын

    Professor Dave, you have no idea how much you've been helping me. Even since i've started college, i've been overwhelmed with so many terms in physics and mathematics i didn't understand at first, but thanks to you, it's been much easier. So thank you

  • @d.nijenhuis878
    @d.nijenhuis8784 ай бұрын

    Passed my math exam. Thnx from the Netherlands.

  • @ankitkumarsingh9815
    @ankitkumarsingh98155 жыл бұрын

    Well ...after attending so many college for hours ...I understood in 8 mins. thanks to you sir😁

  • @halflight8811
    @halflight8811 Жыл бұрын

    Youre are singlehandedly carrying my liner algebra class in Uni, way better than my professor ever explained.

  • @aghaaahshiiiiiiikeiji6726
    @aghaaahshiiiiiiikeiji67262 жыл бұрын

    this is lowkey the best vector space explanation. i mean everything was so nicely explained. this topic got over like a month ago in my college but i just couldnt comprehend its basics from any other youtube tutorial. so thnku thnku soooo much =) edit: i've literally wasted so much time watching super lengthy videos about vector space but this was so consice and simple that it really means a lot

  • @amicabl
    @amicabl Жыл бұрын

    i've been following since your tagline was just about science! thanks for everything professor dave. i keep coming back cause you have by far the clearest and most concise explanations out there

  • @blhfs
    @blhfs2 жыл бұрын

    This lesson was so full and concise, it was the best! Thank you so much Professor Dave!!

  • @dgormley
    @dgormley2 жыл бұрын

    Hi Dr Dave. This is really helpful and presented very well. You give theory and examples... Just superb delivery. Linear systems is kicking my butt. Thanks a ton.

  • @nijadhav
    @nijadhav Жыл бұрын

    Concise yet Comprehensive! Perfect presentation!

  • @micha5118
    @micha51182 жыл бұрын

    Explained it well for me in just 8 mins, thank you!

  • @germansniper5277
    @germansniper52777 ай бұрын

    I still dont get the point of vector spaces

  • @neersnain

    @neersnain

    23 күн бұрын

    I think it’s to make “things” more general and abstract.

  • @karlmax61
    @karlmax613 жыл бұрын

    Your explanation is better than MIT tutorials and also very concise.

  • @evajones1548
    @evajones1548 Жыл бұрын

    Thanks so much! Your example at the end that showed when the vector is not closed under addition made everything click!

  • @senmonkashonen5875
    @senmonkashonen58753 жыл бұрын

    This dude is the best on youtube

  • @kaizen1421
    @kaizen14212 жыл бұрын

    Thank You Sir , I Had Hard Time Understanding Algebra , Thanks A Lot I Am Getting It , I Wish You Always Stay Happy And Healthy.

  • @scitalks8286
    @scitalks82862 жыл бұрын

    Thank you so much Professor Dave!!!! You're a life saver.

  • @gauravladha5465
    @gauravladha54653 жыл бұрын

    Thank you Prof Dave. Would appreciate more examples and bit longer videos

  • @SKoll1729
    @SKoll17294 ай бұрын

    Hey man, I just want to say, you explained this way better than my college professor. Dude is running his online class through and HTML page, not mentioning what kind of stuff he is putting on each quiz, and is insanely disorganized. His lectures also suck, are way too quiet, super disorganized, and take way too long. I’ve learned more about vector spaces in half of this video than two of his hour long lectures. I really appreciate it

  • @helinasolomon6278
    @helinasolomon62782 жыл бұрын

    Hey Prof, I really appreciate what you do and your videos are really helpful. Salute from Ethiopia 🇪🇹

  • @oscarelizondo1247
    @oscarelizondo12475 жыл бұрын

    I love your videos. nice job they are extremely helpful

  • @vorefield7079
    @vorefield70793 ай бұрын

    I dont understand why in example at 6:25 [a1, 2] is not a sample space. Its explained that its not a vector space because when you add it becomes [a1+b1,4] and the 4 is outside the initial [a1, 2]. but in the example at 4:48 when vector b is added to vector a it causes it to become [a1+b1,a2+b2,a3+b3] and the bs are adding to the a causing it to be outside the initial [a1,a2,a3].

  • @cpsproduction7497

    @cpsproduction7497

    Ай бұрын

    Same

  • @muthierry1
    @muthierry13 жыл бұрын

    Amazing explanations.. Great job

  • @nak6608
    @nak6608 Жыл бұрын

    Dude thank you for making this video. Really helped me understand vector spaces

  • @lebogangmoloto8266
    @lebogangmoloto82662 жыл бұрын

    Thank you so much. This was really helpful.

  • @aleksandrailieva5447
    @aleksandrailieva54473 ай бұрын

    After all the videos I watched, you were the one that helped me actually understand all of this. Thank you!

  • @Rafiullah67312

    @Rafiullah67312

    28 күн бұрын

    If you have any problem you can ask from me

  • @memoriislife9046
    @memoriislife90463 жыл бұрын

    Very good presentation..and understandable😍👏

  • @kavithapriyacj4868
    @kavithapriyacj4868 Жыл бұрын

    After so much run and pain ..i got this .. the best video ever

  • @marcfruchtman9473
    @marcfruchtman9473 Жыл бұрын

    Thank you for a very good tutorial.

  • @curtpiazza1688
    @curtpiazza16883 ай бұрын

    Crystal clear explanation! 😊

  • @calvingoldsmith3963
    @calvingoldsmith39635 ай бұрын

    Beautiful explination!

  • @ankitchauhan1663
    @ankitchauhan16635 жыл бұрын

    Its helps me a lot sir😍😍

  • @bernab
    @bernab4 жыл бұрын

    Many moons ago (around 2002) I was studying Linear Algebra (Physics, at University). One of the reasons I left it was because I couldn't understand it at all. I saw your video, took a pencil, and I have understood it all. Thank you Professor Dave!

  • @AtifAli-sr8sh
    @AtifAli-sr8sh5 ай бұрын

    Excellent explanation

  • @epsilonfox2593
    @epsilonfox2593 Жыл бұрын

    well explained, thanks!

  • @huanviptq
    @huanviptq3 жыл бұрын

    your teaching is understandable

  • @qwertyman506
    @qwertyman5062 жыл бұрын

    Thanks, now I know what I'm getting myself into

  • @mistafizz5195
    @mistafizz5195 Жыл бұрын

    Can you please do tutorials on abstract linear algebra?

  • @XBJASHITHABATULA
    @XBJASHITHABATULA5 ай бұрын

    great explanation

  • @sameerthor11
    @sameerthor11 Жыл бұрын

    professor dave sir you are the best among all

  • @md.azmiribneislam6885
    @md.azmiribneislam68855 жыл бұрын

    Awesome... You are really great... Best wishes to you (by Md. Azmir Ibne Islam... From BRAC University Bangladesh)

  • @fahimchowdhury4477
    @fahimchowdhury44773 жыл бұрын

    Do we all time need to multiply by scalar to see whether space is closed or not? for example: A space holds all vector which are, a [x, 0 -x]. now if we do scalar multiplication then we will get vectors like a[x, 0, -x] form. Again if we do addition then we will still get vectors of form a [x, 0 -x]. But if i multiply a with a, then i need to do [a (dot) transpose of a], then i can multiply. In such case i get resultant with different dimension. So can i say my space is vector space?

  • @monzirabdalrahman4573
    @monzirabdalrahman45732 жыл бұрын

    Thanks alot you made very easy

  • @penelopeannetsiblakis9415
    @penelopeannetsiblakis9415 Жыл бұрын

    amazing, spectacular, thank you

  • @jois5344
    @jois53446 ай бұрын

    My english isn't very good but your video is easy to understand. Thankyou prof

  • @navagharkiran5769
    @navagharkiran57694 жыл бұрын

    sir u didnt said why we use vector spaces . i know about vectors but in vector spaces im not clear.

  • @lakshmiprasad.s1551
    @lakshmiprasad.s15512 жыл бұрын

    thank you professor!

  • @aryaalurkar2897
    @aryaalurkar2897 Жыл бұрын

    This is just the kind of video I neded.Thx

  • @vanirajesh914
    @vanirajesh9143 ай бұрын

    Superb explanation❤

  • @MangoLassiYT
    @MangoLassiYT2 жыл бұрын

    That was super helpful for a begineer

  • @zahraazoza3931
    @zahraazoza39312 жыл бұрын

    Best teacher ever

  • @suprememaster1951
    @suprememaster19512 жыл бұрын

    Every subspace of R5 that contains a nonzero vector must contain a line. Is this statement true?

  • @ItachiUchiha-wk3zm
    @ItachiUchiha-wk3zm Жыл бұрын

    THANK YOU

  • @umehmoses8118
    @umehmoses8118 Жыл бұрын

    Dave I just love you man!

  • @3uHaBeTa
    @3uHaBeTa2 жыл бұрын

    Thanks!

  • @NPCNo-xm2li
    @NPCNo-xm2li2 жыл бұрын

    I cannot express just how much I love your videos, you single handedly managed to get me through first semester, and now you are saving my ass yet again ;---;

  • @tylerdickieson9361
    @tylerdickieson9361 Жыл бұрын

    thanks dave

  • @musicphysics-mathematicsfu1840
    @musicphysics-mathematicsfu18405 ай бұрын

    Prof, how I wish I have you physically as my lecturer! You are an academic doctor who is EXCEPTIONALLY skilled in diagnosis of patients( your students) and provides drugs and injections 💉 ( the Fundamentals ) for healing( full understanding of concepts) Prof,please, I have serious challenges in REAL ANALYSIS and ABSTRACT ALGEBRA. Do you have dedicated videos on them or references that present the subject in a very rich manner? I give your work here 5 stars 🌟🌟🌟🌟🌟 sir

  • @moon-ia2068
    @moon-ia20682 жыл бұрын

    you make life easier

  • @fossared
    @fossared3 жыл бұрын

    Very precise and easy to understand explanation :) ! Thank you so much for this !

  • @cahitutkubalci1360
    @cahitutkubalci13603 жыл бұрын

    You are the best!!

  • @yamatanoorochi3149
    @yamatanoorochi31492 ай бұрын

    thanks prof

  • @seris2195
    @seris2195 Жыл бұрын

    this giving me modern algebra vibes

  • @snehamandal5376
    @snehamandal5376 Жыл бұрын

    thank u so much sir for this video explanation but if we consider element ax+b as a polynomial belonging to vector space V and -ax+c also belong to V as its a linear polynomial but in this case, the closer property of addition will not be satisfied as we will get b+c which will not belong to V, so a set of liner polynomial s must not a vector space?? please sir can you please this doubt

  • @susanadagadu3864
    @susanadagadu38644 жыл бұрын

    Professor Daves please make a video on youngs inequality,holders inequality and minkowski inequality?

  • @sheetalmadi336
    @sheetalmadi3362 жыл бұрын

    why this channel is not growing fast!!!!! It is not fair...

  • @michellenguyen2960
    @michellenguyen2960 Жыл бұрын

    thank you, you just saved me from being lost!!🙏

  • @HWFieldGoal
    @HWFieldGoal2 жыл бұрын

    It is help full!!!

  • @user-dt9yu9wz3m
    @user-dt9yu9wz3m8 ай бұрын

    So if the closure properties are met, can we assume all the other properties required for a vector space are met too?

  • @zewdiherring9528
    @zewdiherring952811 ай бұрын

    Saving me before my final 🙏

  • @anirudhbhaskar7290
    @anirudhbhaskar72902 жыл бұрын

    You're legend 🙏

  • @The_count_of_Monte__Cristo
    @The_count_of_Monte__Cristo4 ай бұрын

    Well, in case of linear expression ax + b; it will not be a vector space, because when adding two elements we get the term (a1+a2)x + (b1+b2), however here (a1+a2) can be zero, and if that happens, it's not longer a linear polynomial

  • @animeparadise2461
    @animeparadise24619 ай бұрын

    who is here after not understanding GP sir video

  • @longnam6977
    @longnam69773 жыл бұрын

    what is the application of vector space in real life sir?

  • @altuber99_athlete
    @altuber99_athlete3 жыл бұрын

    3:15 So the number 5 (and any real number) is both a scalar and a vector?

  • @alexishemeon

    @alexishemeon

    2 жыл бұрын

    A vector of length 1

  • @MathCuriousity

    @MathCuriousity

    8 ай бұрын

    False. It isn’t a vector of length 1 - it is a vector of dimension 1 and its magnitude is 5 ! -5 and 5 as vectors belonging to R^1 have the same magnitude - but assuming we use the Cartesian coordinate system - they are anti-parallel so the vectors -5 and 5 added give the 0 vector!

  • @ovauandjahera8664
    @ovauandjahera86642 жыл бұрын

    The best.

  • @aakankshabhatt791
    @aakankshabhatt7915 жыл бұрын

    Sir please make video on Botany topics. Please sir because you are only source of learning easily.

  • @samueloluwakoredeomodele2438
    @samueloluwakoredeomodele2438 Жыл бұрын

    Thank you sir for this video. But I still don't understand why number 1 in the comprehension is false. Please can someone explain this 🙏🙏

  • @bigbro8083
    @bigbro8083 Жыл бұрын

    I really loved intro song

  • @alizafarsandhu174
    @alizafarsandhu1746 ай бұрын

    Love you sir ❤❤❤❤❤

  • @pipertripp
    @pipertripp2 жыл бұрын

    I don't think that you mentioned that the set V must contain the zero "vector" to a vector space. So your last example where v = [a, 2]^T could never be a vector space because it doesn't contain the zero vector (ie it doesn't pass through the origin).

  • @alexishemeon

    @alexishemeon

    2 жыл бұрын

    Also, with that 3rd property in mind, I think he is conflating the idea of vector spaces with the idea of subspaces. Subspaces must contain the zero vector, and have closure under scalar multiplication and addition. A vector space must satisfy the 8 properties he listed at the beginning of the video. A subspace is a vector space that satisfies the 3 additional aforementioned properties. All subspaces are vector spaces, but not all vector spaces are subspaces.

  • @laulau4367

    @laulau4367

    2 жыл бұрын

    @@alexishemeon Hmm, I just want to make sure I understand. If both vector spaces AND subspaces must contain the zero vector, what is the difference between the two? Are the 8 properties he listed in the beginning the difference? In other words, the vector space requires "extra stuff" that the subspace does not? In other words, the 8 properties he listed in the beginning are also a requirement for a vector space in ADDITION to closure and zero vector inclusion (which are the only requirements for subspace)?

  • @MuffinsAPlenty

    @MuffinsAPlenty

    Жыл бұрын

    @@laulau4367 You shouldn't think of subspaces as needing "more" or "less" stuff than any other vector space. Instead, you should think of subspaces as answering the following question: If I have a known vector space V, and I have a _subset_ of vectors from V, when can I say that this subset is, in its own right, a vector space, using the same vector addition and scalar multiplication as V uses?" A lot of people do not emphasize the "same vector addition and scalar multiplication" part, but it's actually _super important_ here. So let's say you have a vector space V, and let's call your _subset_ W. In order to check that W is a vector space in its own right, we should check all of the axioms of a vector space. But because every vector in W is a vector in V and because W uses the same operations as V, a lot of the axioms are automatically true for W _because_ they are true for V. For example, one of the axioms of a vector space is to check that, for all vectors x and y in W, we need x+y = y+x. However, all vectors x and y in W are also vectors in V. And in V, we know that x+y = y+x. And since W is using the same vector addition as V, since we know x+y = y+x in V, we get that x+y = y+x in W too. A lot of the axioms of a vector space have this same sort of reasoning. They are automatically inherited by W since W is a subset of V and uses the same operations as V. The only axioms of a vector space which are _not_ automatically inherited by W are: closure under addition, closure under scalar multiplication, and the existence of the 0-vector. This is why the subspace test only requires you to check these three conditions. All the other conditions are automatically satisfied _because_ W is a subset of a known vector space and uses the same operations as that vector space.

  • @saitamakakashi4803

    @saitamakakashi4803

    5 ай бұрын

    ​@@MuffinsAPlentythanks man

  • @yrrejw3964
    @yrrejw3964 Жыл бұрын

    Great work, but don’t we have to examine that an object is non-empty to verify that it’s a vector space in addition to closures of addition and scalar multiplication?

  • @MuffinsAPlenty

    @MuffinsAPlenty

    Жыл бұрын

    The axioms requiring the existence of a 0-vector ensures that your set is nonempty. You may be confusing the concept of a general vector space with the subspace test. If you have a known vector space V and you have a subset W of V, how do you know whether or not W is a vector space (under the same vector addition and scalar multiplication as V) on its own? Since W shares the same operations as V, W inherits many of the axioms of a vector space from V being a vector space. The only ones which are not guaranteed are the two closure axioms and the existence of a 0-vector. Because 0v = 0-vector for all vectors v in V, it turns out that showing W has the 0-vector is equivalent to showing W is nonempty, provided you know W is closed under scalar multiplication. So you can replace "closed under addition and scalar multiplication and has the 0-vector" with "closed under addition and scalar multiplication and is nonempty". But as I pointed out, the above paragraph is the test of a subset of a known vector space being a subspace. If you have a set with an addition operation and a scalar multiplication operation, but if you don't know it's a subset of a known vector space with the same operations as that known vector space, then you have to check all of the vector space axioms.

  • @nuclearcornflakes3542
    @nuclearcornflakes354214 күн бұрын

    what a guy; came for terry crews, stayed for knowledge. actuarial science honours grad here

  • @brethagen7776
    @brethagen7776 Жыл бұрын

    7:31 why?

  • @degraj418
    @degraj418 Жыл бұрын

    6:01 if a2=-a1, then the resulting linear equation would be a1x+b1+a2x+b2 --> a1x-a1x+b1+b2 = b1+b2 which is not contained in the set of linear polynomials. Does that mean it is not a vector space?

  • @mateicocora6329

    @mateicocora6329

    6 ай бұрын

    You mistiped smth up there and it just means that a1=a2=0

  • @steven3474
    @steven34744 жыл бұрын

    so we don't have to find all ten axioms to know if its a vector space????

  • @codyriceandothers

    @codyriceandothers

    4 жыл бұрын

    Technically you do, it's just that checking all 10 properties takes a while. Some people skip some properties because of laziness.

  • @steven3474

    @steven3474

    4 жыл бұрын

    thanksss

  • @wildriftoceservetop200carr2
    @wildriftoceservetop200carr23 ай бұрын

    Explained so well even my grandma can understand it now🤣

  • @sonitpatil43
    @sonitpatil43 Жыл бұрын

    Euclidean space vsVector space?

  • @mateicocora6329

    @mateicocora6329

    6 ай бұрын

    By now you prob realized that they are almost the same, but vector spaces can have more dimensions

  • @sabbirhasan552
    @sabbirhasan552 Жыл бұрын

    You've said that real numbers is an example of vector space but what about the real number is multiplied by a complex scalar 😪

  • @nuwagabaedgar6580
    @nuwagabaedgar65802 жыл бұрын

    Am watching this from Kyambogo university Uganda

  • @eigentlichtoll02
    @eigentlichtoll024 жыл бұрын

    it's getting abstract. the laws on vector spaces 1:43 are not defined arbitrarily if some might think. They form an algebraic 'Field'. these rules are the same like when calculating with 'real numbers' (actually just what school math is about)

  • @Krispio666

    @Krispio666

    3 жыл бұрын

    No, it does not form a field. Vectors have only one binary operation defined on them, that being addition (necessarily, you can of course define an inner product and other operations); fields require two. The vector set is instead an Abelian group. The product you see is between scalars and vectors. The scalars themselves must form a field. Together, the two sets form a vector space. This is distinct from a field.

  • @Doesitmatter8191
    @Doesitmatter81912 жыл бұрын

    why the heck i dont understand even a bit ... bruhhhhh its freaking driving my mind craaaaazaaayyyyyyyyyyyy

  • @DARTH-R3VAN

    @DARTH-R3VAN

    2 жыл бұрын

    You'll get it bro. I believe in you.

  • @nishadr.7637

    @nishadr.7637

    2 жыл бұрын

    do you understand it now buddy

  • @Doesitmatter8191

    @Doesitmatter8191

    2 жыл бұрын

    @@nishadr.7637 I still dont get a shit about it 😂

  • @lokeswarmamallan5373
    @lokeswarmamallan5373 Жыл бұрын

    0:40

  • @emmareilly6846
    @emmareilly68467 ай бұрын

    Legit only way I’m going pass my masters in data science lol

  • @englishlife5838
    @englishlife5838 Жыл бұрын

    7:19

  • @kaanylmaz1008
    @kaanylmaz10082 жыл бұрын

    başarılı

  • @neharai1387
    @neharai1387 Жыл бұрын

    Your videos are good but the subtitles ruins it as i can't see anything

  • @ProfessorDaveExplains

    @ProfessorDaveExplains

    Жыл бұрын

    Then turn off subtitles.

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