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Example of Kernel and Range of Linear Transformation

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  • čas přidán 4. 03. 2011
  • Linear Algebra: Find bases for the kernel and range for the linear transformation T:R^3 to R^2 defined by T(x1, x2, x3) = (x1+x2, -2x1+x2-x3). We solve by finding the corresponding 2 x 3 matrix A, and find its null space and column span. We check our work using the Rank Equation.
    Note: This linear transformation is onto, but not one-one.

Komentáře • 226

  • @barsoktay2119
    @barsoktay2119 Před 10 lety +143

    this guy's like "i'll teach the shit out of you!"

  • @michaelh818
    @michaelh818 Před 8 lety +258

    Dr.bob looks like a ufc fighter lol

    • @FreddyMercry
      @FreddyMercry Před 8 lety +5

      I feel like he looks similar to Channing Tatum

    • @MathDoctorBob
      @MathDoctorBob  Před 8 lety +29

      Jiu-jitsu. Actually worked with Pete Spratt in Dallas for a class or two.

    • @MathDoctorBob
      @MathDoctorBob  Před 8 lety +93

      Then there's always the Magic Mike route if teaching doesn't work out. :)

    • @FreddyMercry
      @FreddyMercry Před 8 lety +10

      LOL. Something tells me your teaching career is going to work out perfectly fine. Thanks for the vids, keep up the excellent work!

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety +22

    Thanks for the kind words! I'm just glad to be of help.
    "God made the integers; all else is the work of man." - Kronecker.

  • @Blayzovich
    @Blayzovich Před 11 lety +5

    Literally the best Lin. Algebra video I've seen. I appreciate the pauses in your speech as well. Helped me clarify things in my head without having to rewatch. Thank you so much!

  • @Polapola23
    @Polapola23 Před rokem +2

    I like how technical these videos are because my profs ONLY explain in abstract terms taking it hours and days to come up with such techniques with only the given information.

  • @Xziriz
    @Xziriz Před 8 lety +54

    If you don't understand this, you will get hit by the math stick of justice!

  • @mathtonight1084
    @mathtonight1084 Před 3 lety +4

    Your videos make linear algebra seem much easier than many of my textbooks would suggest. What a treasure I have found in these

    • @MathDoctorBob
      @MathDoctorBob  Před 3 lety +3

      Thanks! Different goals - math textbooks need to be correct and complete. That's not how people tend to learn - the best way is to talk to an expert, who can direct you to what you need and get to the point/intuition.

  • @ROCKaholic
    @ROCKaholic Před 7 lety +177

    I loved math until I took Linear Algebra.

    • @iTzHuGzz
      @iTzHuGzz Před 5 lety +2

      tried multivariable calculus? it's killing me, but is also quite fun though

    • @mikem9270
      @mikem9270 Před 5 lety +5

      Im taking linear along with differential equations. I much prefer diff eqs... passing one with flying colors the other im holding on for dear life. Same professor for both.

    • @meghancastro7463
      @meghancastro7463 Před 4 lety +2

      Yep same! I’m taking that with calc and I’m questioning why I’m a math major 😂

  • @anilcelik7937
    @anilcelik7937 Před 6 lety +15

    even though u scared the shit out of me while you were lecturing this subject, i have totally understand the point that you were telling. thank you for your video

  • @ML-uu5ik
    @ML-uu5ik Před 6 lety +3

    Thank you, sir! Since we got to vector spaces, I have understood almost nothing of what my professor says in class, and I so appreciate people like you who do this. I definitely would not be doing nearly as well as I am in this class without people like you.

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety +13

    Thanks! Lifting and jiu-jitsu really don't mix, so I haven't tried putting up huge numbers in years. When I did, 425/350/610, all natural. I never could get deadlifts going due to height and a ligament tear in my upper back.
    I'm more into functional strength training; my best is 350 burpees in 45 minutes.

  • @hpolk8014
    @hpolk8014 Před 2 lety +2

    Can't believe your methods are still so helpful and effective even after ten years! Thank you, sir! Wish u have a great time teaching!

  • @PerfectlyFriedBread
    @PerfectlyFriedBread Před 12 lety +1

    Your video is clear and concise, not to mention helpful. It's people like you who make the internet a wonderful tool for learning. Keep up the good work.

  • @johnsmithsitizen8739
    @johnsmithsitizen8739 Před 9 lety +4

    Thank you for the video professor. Linear algebra started out so clean and simple. Once spanning, domains, range, kernels and the rest of the mumbo jumbo came into play, I went downhill. I think I needed to start with your videos and others from the beginning. Why I think the professor and the book are enough I'll never know. Old habits die hard.

    • @MathDoctorBob
      @MathDoctorBob  Před 9 lety +2

      Your welcome! It really depends on the teacher - if I have a class full of engineers, I'm going to go lighter on the proofs and abstract nonsense. LA is often the first place students encounter proofs in a meaningful way and it can be jarring.

    • @cadoni2
      @cadoni2 Před 9 lety +3

      MathDoctorBob This is so true. My class is about 90% Computer Scientists and my professor insists on doing mostly proofs. This example has helped me a ton. Thank you!

    • @ScotMatson
      @ScotMatson Před 8 lety +1

      +Caden Barton I'm in the exact same situation. Professor has taught everything by proof's and doesn't understand why the class average is a D. Proofs are not how you introduce a topic.

    • @davidontiveroz8295
      @davidontiveroz8295 Před 8 lety

      +Scot Matson yeah our prof shows us like 2 worked easy problems before the proofs.
      helps so much

  • @osamaimran6245
    @osamaimran6245 Před 4 lety +1

    I like your method. Basically the working is left entirely to us, and you go though it all to guide us. Stay blessed.

  • @caelawnn
    @caelawnn Před 6 lety +27

    idk why i laught hella hard when he raised his hand and was holding a damn pole

  • @penietteseru9828
    @penietteseru9828 Před 10 lety +3

    thank you very much for helping me understand what i need to do in my homework! I understand this way better than just reading through my whole textbook. Mahalo!

  • @robertchapman4852
    @robertchapman4852 Před 10 lety

    I"m taking a Linear Analysis class and needed a very clear example of the image/range/column space of a matrix and couldn't find one online that didn't confuse me. This was a very VERY straightforward and clear example. Exactly what I was looking for. Thank you!

  • @mat22332
    @mat22332 Před 12 lety

    My grades have been saved since I discovered your videos last summer retaking Calc III, and once again saved me in Linear Algebra. I can litterally grasp a months worth of classes in 12 hours with your videos and improve my grades dramatically. Thank you so much for putting these videos up. Clearest explanations I've ever seen with any form of math since high school.

  • @deftoned2
    @deftoned2 Před 9 lety +29

    THANK YOU! I'll get at least one problem right on my test tomorrow...

  • @B.A.Gondal
    @B.A.Gondal Před 10 lety +6

    cleared range and kernel a lot right before exam....thankss

  • @roy5180
    @roy5180 Před 2 lety +1

    thank you ffs finally someone that keeps the explanation simple, you looking pretty buff bro tbh

    • @MathDoctorBob
      @MathDoctorBob  Před 2 lety

      You're welcome! Yeah, this stuff is hard enough with clear communication. - Bob

  • @mat22332
    @mat22332 Před 12 lety

    Same thing, just looked at my review sheet for a final and just did the WTF!?!, spent a few hours watching these videos and now I know what im suppose to be doing vs reading a textbook and having absolutely no clue what its talking about. Thank you!

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety +1

    @MrKh0i Edit: My bad! I've been out of the weight room for too long. Our workouts were built around bench press, squats, and deadlifts with a lot of isolation work; more geared towards bodybuilding than powerlifting. We just wanted to get big, not necessarily strong or pretty. And nothing formal; we learned everything from Weider and Schwartzenegger's books back in the 80s. - Bob

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety +1

    You're welcome, and thanks for the high praise! Glad to be of help. - Bob

  • @tylerdurden786
    @tylerdurden786 Před 6 lety +1

    I get the impression he's holding back serious rage whilst delivering his points. Great video Bob anyhow.

    • @h-grid3137
      @h-grid3137 Před 6 lety +1

      tylerdurden786 yeah, he is gonna beat you up with his black stick if you fail your exam

  • @realfuzzhead
    @realfuzzhead Před 10 lety

    Perfect video, the only one I could find on youtube that directly addresses how to find the range and null space. I think I'm going to watch it again!

  • @samtaylor2244
    @samtaylor2244 Před 2 lety +1

    Incredibly well explained - thank you

  • @yashjiwani1040
    @yashjiwani1040 Před 3 lety +1

    Thank you Sir.. You helped me by filling gaps in my understanding

  • @Augustus1003
    @Augustus1003 Před 2 lety +2

    Feels like my dad is explaining me this, like a ticking bomb about to explode any minute.

  • @polishhammer1992
    @polishhammer1992 Před 11 lety

    Most intimidating teacher of all time. Muscles and a bar.

  • @kalebmartin9053
    @kalebmartin9053 Před 7 lety +1

    One of the better videos I've come across, had to leave you a comment.

  • @MathDoctorBob
    @MathDoctorBob  Před 13 lety

    @FaiththeHairstylist Yes. Kernel of linear transformation T = null space of matrix A for the transformation. A basis is enough to describe the subspace; the entire subspace is given by taking all linear combinations of the basis vectors. - Bob

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety +1

    You're welcome, and thanks for the kind words! - Bob

  • @ebeebbeeebbb
    @ebeebbeeebbb Před 9 lety +6

    Thanks Dr. Bob! The word "Kernel" was not sitting well with me which was not allowing me to grasp this concept until now-- Ker(T) = Null(A). Simple as that!

    • @MathDoctorBob
      @MathDoctorBob  Před 9 lety +3

      Erick Q Technically we use kernel for linear transformations and null for matrices, but even this is not ironclad.

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety

    Your welcome! Yes. You can use any nonzero real number. To interpret, you are taking the solution with x3=1 and rescaling the vector by your choice of scalar.

  • @audiovisualC
    @audiovisualC Před 10 lety +1

    Thanks! I needed this. Still not certain if I will pass my exam, but you already helped me loads by explaining this! Will definitely check out more of your videos!

  • @MathDoctorBob
    @MathDoctorBob  Před 13 lety +1

    @finapon You're welcome, and thanks for the support! Good luck on exams. If you have any specific requests, please let me know. - Bob

  • @PetBuddies
    @PetBuddies Před 2 lety +1

    Really old video, yet it's the most efficient and easy

  • @Triggler1
    @Triggler1 Před 10 lety

    Buffest math teacher I've ever seen.

  • @samhansen2494
    @samhansen2494 Před 5 lety +1

    This actually makes sense. Nice work

  • @BHRxRACER
    @BHRxRACER Před 11 lety

    I understood from those 7 minutes what my professor couldn't explain in 2 hours.
    THANK YOU

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety

    You're welcome! It will depend on the domain vector space in general.
    Suppose we are only using polynomials. We have a linear transformation to R. If we apply the transform to each x^n, we get 1/(n+2). By linearity, each (n+2)x^n - (n+1)x^{n-1) is in the kernel for n=1, 2, . If we add f=1, we have a basis for polynomials, so, without f=1, we have have a basis for the kernel. I can explain more if needed.

  • @broncolineonlinemath
    @broncolineonlinemath Před 5 lety +1

    Great work teacher

  • @Persian771
    @Persian771 Před 7 lety +2

    That was awesome.thanks.please do more videos for linear.

  • @sunnyhours84
    @sunnyhours84 Před 11 lety

    Great!
    Also like that wooden stick you are holding to! Look way more cool than an ordinary "pointer".

  • @jasonacjac
    @jasonacjac Před 10 lety +3

    You said x1 and x2 are dependant, but if they are written as identity matrix, arent they linearly independent? Plus, the rank of the columns/rows is 2, therefore there should be 2 linearly independent eqautions... Great teaching btw, very straightforward!

    • @danielmockaitis4461
      @danielmockaitis4461 Před 7 lety

      Yeah that was a mistake x1 and x2 are independent. x3 is dependent.

    • @ML-uu5ik
      @ML-uu5ik Před 6 lety

      I think when he says that x3 is independent, he means that x3 is a free variable. And that the coefficients for x1 and x2 depend on what you choose x3 to be. I don't believe that he means that x1 and x2 are linearly dependent, but that the coefficients to get the null space are dependent on what you choose for x3.

  • @mohammedalsaeedi9417
    @mohammedalsaeedi9417 Před 5 lety +3

    if he was my prof I may shit myself each time I go to his lecture... but still, you helped me a lot thank you very much

  • @Yamnkelaniyonela
    @Yamnkelaniyonela Před 8 lety

    And now I got away with bunking lectures and thanks to you Dr Bob, will surely get it right on my exam #Brilliant

  • @maxxpro4
    @maxxpro4 Před 9 lety

    finished my last problem with your help. thanks Dr. Bob

  • @fubarace1027
    @fubarace1027 Před 4 lety

    Good stuff, taking linear over the summer (bad idea), I keep searching my problems, and your videos keep showing up. Good thorough explanations I can google apart if I don't understand a step. Thank you, and subbed. Hopefully you'll be a help when I do Cal 3 in the fall.

  • @coronajardin2352
    @coronajardin2352 Před 3 lety +1

    my guy look like he playin Clue, "it was Dr Bob in the Foyer with the lead pipe"

    • @MathDoctorBob
      @MathDoctorBob  Před 3 lety +1

      Colonel Mustard brought it on himself.

    • @coronajardin2352
      @coronajardin2352 Před 3 lety

      @@MathDoctorBob haha! for real though, great video, it was a huge help!

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety

    Once you find row echelon form, identify the columns with the pivots (pivot - first 1 in a row if any). Use the same columns in the original matrix to get a basis for the range space. Row operations mess up the column span, but the pivots can still be used.

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety

    Thanks! Check in the Linear Algebra playlist (or the website). Another way to say isomorphism is invertible or one-one onto. Some videos that will help with this are Example of Basis for Null Space, Linear Trans: One-one, Linear Trans: Onto, and anything on inverting matrices.

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety

    We should use column operations since row operations do not preserve the column span.
    The pivots in REF can be used to test for linear dependence. The columns of A are linearly dependent if we can find a nonzero v with Av=0. Going to REF is the same as multiplying by an invertible matrix R on the left, so RAv = 0. If we throw away the non-pivot columns, then RA'v=0 only occurs when v=0. Removing R, what remains is linearly independent.

  • @MathDoctorBob
    @MathDoctorBob  Před 13 lety

    @israeldmx2003 You're welcome, and thanks for the comment! Yes. It is confusing, but sensible. After all, a linear transformation is not a matrix, but they are as close as possible in spirit. Column space and null space are specific terms for matrices; kernel and range are general algebraic terms that reappear in Abstract Algebra.
    Good luck on exams! - Bob

  • @kingrobert7246
    @kingrobert7246 Před 6 měsíci

    this guy is like the drill instructor of maths teachers

  • @MrMrObey
    @MrMrObey Před 8 lety +1

    this was definitely very helpful! thanks for uploading this video!

  • @ayushverma7179
    @ayushverma7179 Před 4 lety +1

    Thanks a lot.....I was confused in that particular part.

  • @komatsushumpei8885
    @komatsushumpei8885 Před 4 lety +1

    great video, thank you! I understand them so well

  • @chris_kouts
    @chris_kouts Před 4 lety +1

    super helpful vid, good shit!

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety

    Thanks for the constructive feedback! Every day I learn new tricks, and that's a common request. Of course it doesn't help with the old videos; I could annotate formulas in. Although slightly inconvenient, the pause button works too.

  • @hannahang8298
    @hannahang8298 Před 11 lety

    thxs very much Dr Bob....I finally got it...really appreciate it

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety +1

    Thanks! I didn't know there were other methods, but it sounds like the difference is in the bookkeeping. Is this for the kernel or range or both? - Bob

  • @sebastianskjensvold1830
    @sebastianskjensvold1830 Před 2 lety +4

    dr bob, any neck workout tips?

    • @MathDoctorBob
      @MathDoctorBob  Před 2 lety +1

      Look into the wrestler's bridge. It's a bodyweight exercise, but just 10 seconds will feel like at eternity. If that doesn't kill you, the gymnast's bridge is the next level of difficulty, but no neck work in it. With weights, shrugs and the neck machine. If you just want stability or to work out aches from sleeping on it wrong, you can do isometric pushing while watching TV.

    • @camillebeaudoin53
      @camillebeaudoin53 Před 2 lety +2

      So excited to get a bigger neck. I feel like my neck is disproportionate to my head and shoulders and this is exactly what I'm looking for. @Dr. Bob you clearly know what you're talking about so I look forward to trying this out!

  • @theoldblood3804
    @theoldblood3804 Před 9 lety

    I understand the methods and operations to get the answers. What i dont get is how this all relates to itself or how it relates to a graph. If i could have an actual 3d coordinate plane, for example something i could touch in all three dimensions, i think id have a better understanding.

  • @T0mmm14
    @T0mmm14 Před 12 lety

    Very clearly explained, thanks very much

  • @willl9308
    @willl9308 Před 6 lety +2

    THANK YOU! very helpful!

  • @1H4NDC14PP1N6
    @1H4NDC14PP1N6 Před 10 lety

    Thank you, Dr.Bob! Very very helpful review video before finals! Keep it up!

  • @avantitaylor8586
    @avantitaylor8586 Před 3 lety

    Thank you so much! I have a understood the entire concept clearly!

  • @advancedappliedandpuremath
    @advancedappliedandpuremath Před 5 měsíci

    Hi Sir hope you are doing well. Why do we need to do rref for finding basis of null space and row space while we can find these using ref as well

  • @jojsdfsdfsd
    @jojsdfsdfsd Před 11 lety

    NICE ONE SIR. VERY INTUITIVE

  • @ryanturcotte3033
    @ryanturcotte3033 Před 4 lety +1

    Why did my dude Bob @ 5:03 give the scariest stare and the deepest swallow of all time.

    • @MathDoctorBob
      @MathDoctorBob  Před 4 lety

      That's hilarious! First, no acting experience, which makes for awesomely awkward moments. Second, in the old days, it could take 30-60 takes to get 1-3 minutes acceptable. This would do two things: frustrate to the point of enragement, and completely dehydrate me. You get in that zone where you refuse to let it go until it's close enough.

  • @jimmonroe5193
    @jimmonroe5193 Před 6 lety +1

    Great explanation. Thank you.

  • @MathDoctorBob
    @MathDoctorBob  Před 13 lety

    @MetallicAus You're welcome. Thanks for the comment. - Bob

  • @MathDoctorBob
    @MathDoctorBob  Před 13 lety

    @Pasgo523 You're welcome, and thanks for the comment. Hope the exam went well. If you need linear problems not in the playlist, let me know. I'm a SUNY alum (Stony Brook), so I'm glad to be able to return the favor. - Bob

  • @paerful
    @paerful Před 10 lety

    Dr bob. first of all ur biceps are huge man. second, your one effin kickass prof

  • @speedylocs
    @speedylocs Před 11 lety

    Your videos are awesome,
    but seriously what I think everyone wants to know is: how much do you bench, deadlift and squat?

  • @MathDoctorBob
    @MathDoctorBob  Před 13 lety

    @lordcroesus You're welcome! Please let me know if you have any requests. - Bob

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety

    My LA playlist is mostly old exam problems with solutions, so it doesn't lend itself to numbeing. Check the website. Everything is listed in order there.

  • @refikyalcnstudent3125
    @refikyalcnstudent3125 Před 3 lety

    Very straight forward thanks

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety

    Thanks for the kind words!

  • @MathDoctorBob
    @MathDoctorBob  Před 11 lety

    You're welcome, and thanks for the kind words! Without the pauses, I tend to speak in paragraphs.

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety

    @epocalipticify You're welcome! Different modes. Books are better for reference and thoroughness. With a video, I want to get across intuition and why you should care. - Bob

  • @mathguy4264
    @mathguy4264 Před 7 lety +1

    Thank you.

  • @huangs3250
    @huangs3250 Před 11 lety

    better than my lecturer hahah thanks!!!!!!!! :)

  • @Xiayuxing
    @Xiayuxing Před 10 lety

    you are amazing!!!! after listening to it three times i understand everything. do you have any video on geometric transformations from R2 TO R2?

    • @MathDoctorBob
      @MathDoctorBob  Před 10 lety

      Thanks! Yes, it's called Linear Transformations on R2. You can find the full set of links for Linear Algebra at mathdoctorbob dot org.

  • @european.repairs
    @european.repairs Před 8 lety

    very good and well organized. thank you.

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety

    You're welcome! - Bob

  • @McnAkgn
    @McnAkgn Před 3 lety

    Thanks for the explanation! Can we find the kernel and the range from the matrix representation of a linear transformation like you explained when the representation is not respect to the standard bases?

    • @MathDoctorBob
      @MathDoctorBob  Před 3 lety

      Definitely. You need to do this when the vector space is not R^n. In general, change of basis operators are extremely important abstract nonsense. If P_BC changes from any basis C to the standard basis B and A: V->V, then
      P_BC(Av) =[P_BC(A)P_BC^-1] P_BCv = A_BC (P_CBv),
      and A_BC is the matrix representation. So find kernel and range of A_BC, now in the form P_CBv and apply P_CB^-1 to return to the original basis.

  • @pempekplg
    @pempekplg Před 2 lety

    crystal clear. Thank you.

  • @wairorewanyonyi2938
    @wairorewanyonyi2938 Před 9 lety

    cool stuff,thanks Bob for the video. I found it helpful

  • @farisal-amer7635
    @farisal-amer7635 Před 8 lety +1

    Good video! Thank you so much!

  • @meifapm
    @meifapm Před 4 lety +1

    this is perfect, thank you :)

  • @vietjack91
    @vietjack91 Před 12 lety

    awesome video, it really saved me from all these work we gotta do by hand, my teacher mentioned row reduced but he did it another method -_-''...this is a much easier way. Thanks life saver!!

  • @jadekevinbestami4003
    @jadekevinbestami4003 Před 6 lety +1

    nice explanation sir

  • @MathDoctorBob
    @MathDoctorBob  Před 12 lety

    @kev121314 I just caught this. I will put it in the queue. If this video makes sense, it is just translating.
    1-1: null space is zero, or pivot in each column
    onto: range spans the image R^n , or pivot in each row
    -Bob

  • @FablesOutofSpace
    @FablesOutofSpace Před 9 lety +1

    PERFECTION MAN PER-FEC-TION:) I LOVED THIS:) KEEP GOING:)

  • @tjfirhfjejUTH24
    @tjfirhfjejUTH24 Před 9 lety

    coming in clutch! thank you

  • @robertoperez4029
    @robertoperez4029 Před 4 lety

    Great video! It helped me a lot :D