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A-Level Further Maths: C4-04 Invariance: Example of Finding Invariant Lines 

TLMaths
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24 авг 2024

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Комментарии : 44   
@charliescoulding6324
@charliescoulding6324 3 года назад
Been learning from home because of the pandemic and trying to catch up, couldn't understand it from my school powerpoint but this was really helpful
@dingzhong9339
@dingzhong9339 4 года назад
Thank you so much sir, this is extremely helpful.
@TLMaths
@TLMaths 4 года назад
Glad it was helpful!
@obedientcape4912
@obedientcape4912 Год назад
This is not in the core pure mathematics text book. But it has come up in previous papers so thank you.
@boringblobking3783
@boringblobking3783 4 года назад
very tasty video
@danuzwanus9334
@danuzwanus9334 2 года назад
Extra tasty
@gddanielk8491
@gddanielk8491 2 года назад
Scrumptious
@puddleduck1405
@puddleduck1405 Год назад
scrumdillydillydilcious
@TheObloINATOR777
@TheObloINATOR777 2 года назад
thanks so much! this really helped me before my finals 😁
@kusalyarodrigo1727
@kusalyarodrigo1727 4 года назад
Thank you so much for these videos.
@blahwoofyackety2563
@blahwoofyackety2563 3 месяца назад
Thank you very very much! Really helpful and clear
@brandon-D
@brandon-D 4 месяца назад
Great explanation, thank you
@katiec5352
@katiec5352 8 месяцев назад
what a legend no way this guy is amazing
@JamesTaylor6
@JamesTaylor6 2 года назад
Suddenly it's all so clear
@Theproofistrivial
@Theproofistrivial Год назад
How does this work for matrices which don't provide an X and a Y term in both elements, such as a multiple of the identity matrix (kI)? You are left with kX equal to X' (and kY=Y') which means that when X' and Y' are substituted into y=mx + c, you get Y'=m(X') + c and hence kY=m(kx) + c and therefore kmx + kc = kmx +c which suggests m can be anything when c=0.
@mukhtarquraishi4233
@mukhtarquraishi4233 4 года назад
Great Video!!!!!!! Thanks so much, it's very helpful
@sameccleston8673
@sameccleston8673 Год назад
If both y= 5/2x + c and y= -x are both invariant lines and the translated coordinate will remain on those lines, will the intersections between these invariant lines be invariant points, as that seems to me the only way the translated point can satisfy both invariant lines? Or am I missing something?
@TLMaths
@TLMaths Год назад
Good question I hadn't thought about before. I would assume the answer to this is yes, as otherwise there would be points on an invariant line that do not remain on that line. So wherever two invariant lines intersect, that point must be an invariant point.
@casperlui5728
@casperlui5728 2 года назад
I am really appreciate to this video
@williamhallleiva8735
@williamhallleiva8735 2 года назад
Thank you for this video, a really well explained video :)
@danielmillward5842
@danielmillward5842 2 года назад
Im sorry TL maths, I love you dearly, but this is the worlds most complicated way of finding invariant lines.
@TLMaths
@TLMaths 2 года назад
Happy to listen to an easier method that works in all cases.
@chesster5981
@chesster5981 Год назад
It’s a way that follows logically for me, just have you assume there exists a line y=mx+c
@shaheerziya2631
@shaheerziya2631 4 года назад
Thank you kind sir.
@GrettaLem
@GrettaLem Год назад
how does this work when there is an identity matrix or an identity 'like' matrix e.g. swap out the 1 in the identity matrix for -3 as surely it will just get cancelled each time suggesting it has no invarient lines despite this not being the case?
@bigboyskrapz
@bigboyskrapz 2 года назад
Why are we assume the coefficient of both x and c are 0 to solve for m. How do you know that it’s not 3x-4c=0 for example. Because that could still equal 0
@TLMaths
@TLMaths 2 года назад
We know that 0 = (3m^2 - 3m - 5)x + (2m - 5)c, so by comparing coefficients, 3m^2 - 3m - 5 = 0 and (2m - 5)c = 0
@godfred8618
@godfred8618 Год назад
amazing teacher
@jamminermit
@jamminermit 4 года назад
I was watching a video about eigenvectors, and they seemed similar to invariant lines. Are they the same idea, and if so could you use eigenvectors to find the equation of these lines?
@TLMaths
@TLMaths 4 года назад
Eigenvectors point in the direction of invariant lines. Eigenvalues are effectively the scale factor that tells you how far points have moved along those lines. So if the eigenvalue for a particular eigenvector is 1, then it is a line of invariant points.
@lucasf.v.n.4197
@lucasf.v.n.4197 Год назад
another way to grasp eigenvalues and eigenvectors, I like this angle;
@jasoncho2753
@jasoncho2753 Год назад
Does this method take into account enlargements? After all, lines of invariance can be created via enlargements as well
@BBQsquirrel
@BBQsquirrel 2 года назад
Could this also be done using eigenvectors and eigenvalues?
@TLMaths
@TLMaths 2 года назад
Yes, and that would be my go-to method in general.
@musa6138
@musa6138 4 года назад
at 3:17 isnt it supposed to be m[(3 + 2m) x + 2mc] because all of it is x'
@TLMaths
@TLMaths 4 года назад
You've gained an extra m, it is: m[(3 + 2m) x + 2c]
@musa6138
@musa6138 4 года назад
TLMaths from having 0 = .... +( 2m^2 -5) c wouldn’t that give you m = (5/2)^(1/2)?
@TLMaths
@TLMaths 4 года назад
It's (2m - 5)c, not (2m^2 - 5)c
@moodymonstrosity1423
@moodymonstrosity1423 3 года назад
Why we substituted mx+c into y' ?
@TLMaths
@TLMaths 3 года назад
We assumed that the invariant lines are of the form y = mx + c, so we can replace y with mx + c. Once we have y' and x', we know that y' = mx' + c as the line that is outputted by the transformation must be the same line as what we started with (so same gradient m and y-intercept c).
@moodymonstrosity1423
@moodymonstrosity1423 3 года назад
@@TLMaths ok thankyou
@awall0072
@awall0072 2 года назад
Perfect thanks
@quirkyzigzag
@quirkyzigzag 8 месяцев назад
wouldnt it be easier as this is under the linear transformations topic to just have y= mx and neglect the c as it should map to the origin if treated as a transformation. I can see this being useful if it it is not but for this topic ??
@TLMaths
@TLMaths 8 месяцев назад
Matrices transformations can leave lines that aren’t going through the origin invariant, such as a reflection matrix
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