literally i was crying a few minutes ago because i couldn't do my analysis exercise sheet. You are the best teacher on youtube thank you so much, may god bless you have a beautiful day
I just finished my (intro to) Real Analysis course for my Applied Math major, and uniform continuity was the last topic in the class. Thanks for helping me get an A!
I love that this video gives an intuitive explanation of the difference. Of course having the difference explained using the definition is important since it’s important to know that in uniform continuity, delta does not depend on the point and only depends on epsilon. However, this difference on the surface may seem unintuitive and unimportant. However, the rectangle demonstration perfectly encapsulates the intuitive idea behind why we care about uniformly continuous functions. For general continuous functions, there exists a rectangle that encloses the value of the function over some delta interval of x values, but the height of that box (and thus the area of the box) may depend on the specific point of the function that we are looking at. A given delta interval of x values does not always correspond to the same epsilon interval of function values due to the influence of the point itself. Uniformly continuous functions for a given delta interval for x have the same rectangle at every point of the function. The height of the rectangle, the epsilon interval for the image of the function, only depends on the given delta value. Hence the name uniform continuity.
Thank you so much!! I'm studing real analysis this semester and it all seems so theoritical, it's hard to draw a picture like that. Your videos really help with understanding the material, thanks again.
Thank you brother. I just realised i passed through Real analysis without intuitively understanding this. Sometimes we can just continually talk about the definition without intuitively understanding it. This intuition is the best. Continue the good work.
Pretty good video, but it seems like you call f(x) values “y values” which can be confusing given the definition. The definition states that both x and y lie in the domain of f. What that means for the definition is that you can think of x and y as 2 different “x values” (by x values I mean domain values, as in they are defined by their position on the x axis). For uniform continuity, we see that the difference between 2 points is arbitrarily small (less than delta) and thus the difference between f(x) and f(y) is also small (less than epsilon). By small, I mean small enough to satisfy the definition of uniform continuity. The rectangle visualization is still correct though. When an f value (escapes) the rectangle, that would mean that abs(f(x)-f(y)) is no longer less than epsilon and is therefore not uniformly continuous at the point (y,f(y)). I hope what I said can help anyone who might’ve been confused by that. If it was just me who was confused than oh well.
The Math Sorcerer yeah man I was mostly just putting my thoughts here so I could better understand what’s going on. Appreciate the instant feedback to my comment as well that’s nice. Keep up the good work!
Hello Sir...If a function is uniformly continuous on a closed interval, could we refine the definition of uniform continuity by replacing the condition |x-y| < δ and |f(x) - f(y)| < ε with |x-y| ≤ δ implying |f(x) - f(y)| ≤ ε ? Please sir, clarify it.
Sir, If a function is uniformly continuous on a closed interval, could we refine the definition of uniform continuity by replacing the condition |x-y| < δ and |f(x) - f(y)| < ε with |x-y| ≤ δ implying |f(x) - f(y)| ≤ ε ?
Thanks for this video. I found it really helpful. I completed my masters this year. But I still get confused between uniform continuity and continuity😭😭. Finally the confusion is gone. Thanks a lot.
I think a better way to understand Uniform Continuity (not sure if it's accurate) is that if a function is uniformly continuous on the real set of numbers, then the function is continuous and the slope of the tangent line of every point of the function is within a finite range.
Very understandable 😍 But one point is making me confuse In the very last when u talk about rectangles ; in uniform continuity the size of rectangle should same at one place of graph when compared with continuity or at any point of graph size of rectangle should be same.?
In your example with the red function near the end of uniform continuity, why could we not change the rectange to be taller so that we capture all of f(x) and f(y)? If it the rectangle is tall enough for the "worst case", shouldn't it be tall enough for the whole function and then be uniform continuous?
hi I have some comments: firstly, thanks for the video and explanation ;) second, you should work the voice for next videos some parts it's very low then goes up suddenly. the most important comment is about uniform continuity I didn't get the drawing of a rectangle what if it goes like a wave but not down. when can we decide whether it goes away from the rectangle or not? I like that you have explained analytically and geometrically !! thanks again
I don't see a difference in the definitions except for the order they're written. It says for continuous, it's dependent on c but in uniformly continuous it's dependent on y, but y and c are both just real numbers, you just changed the name of the variables, they're still just in R doesn't matter what you call them, so no difference there.
I was confused with this as well... but then I noticed what he said: that Delta in the Uniform Continuity can only depend on Epsilon, not on x. The language used to define this is specific, as follows: Whereas the first definition mentions the existence of "c" before it mentions that Delta exists, the second definition does not mention X or Y before it mentions that Delta exists. It's a subtle difference in linguistics, but is intentional. It's the mathematicians way of saying that Delta can depend on "C" in the first definition but cannot depend on X or Y in the second.
In case of continuity delta depends on c so - that value is constant. While in case of uniform con.. delta depends only on epsilon so no matter what c is that's why that is choosed like a variable y, we can take any no. Of our choices In place of y.
It's very different, in Continuity definition, the "c" is constant, that means that just "x" changes in |x - c| < d, in another terminology, it's a neighborhood with radius 'd' and center 'c' B_d(c), and if 'x' belongs to that neighborhood, then ocurrs that |f(x) - f(c)| < e. or in other terminology, f(x) belongs to B_e(f(c)). In Uniformly contininuity, we have that |x - y| < d, both changes, it can be any number whose distance is less than 'd'. In ths case, there are not center, not neighborhood, just distane between two numbers
Go through the video ( URL ) given below for best explanation for the difference between continous function and uniform continous function: ruclips.net/video/hXkQqCBLRp8/видео.html
Still don't understand the uniform continuity part :/ Guess I've got a low IQ. But I'll think about this visual intuition for some time and hopefully I get it
Random Dude Natural language helps me: A function is continuous means... Choose any input value for the function. Whatever you like. And choose any distance epsilon. Then I can find you a distance delta such that just so long as I keep my input values within delta *of the input you chose* , I’ll keep the correponding outputs within epsilon. A function is uniformly continuous means... Choose any distance epsilon. Then I can find you a distance delta such that just so long as I keep *any pair* of input values within delta, I’ll keep the outputs within epsilon. Where does the difference emerge? In the case of continuity, depending on which input you choose, I might need to keep my other input values within *different* distances (some may need to be really small, I might be safe keeping some fairly large) to keep their outputs within epsilon. Whereas in the case of uniform continuity, no matter what input you choose, I can always find the *same* distance delta between other input values which keeps their outputs within epsilon.
literally i was crying a few minutes ago because i couldn't do my analysis exercise sheet. You are the best teacher on youtube thank you so much, may god bless you have a beautiful day
Thank you!!
U climbed the tower?
@@keshavchaturvedi4015 still climbing but I know I can have everything at the top
@@tho_norlha all the best climb it
also check out John Gabriel's New Calculus
I read about this all over the internet for an hour and you clear it up in 10 minutes--thanks!
You are welcome!
I just finished my (intro to) Real Analysis course for my Applied Math major, and uniform continuity was the last topic in the class. Thanks for helping me get an A!
I love that this video gives an intuitive explanation of the difference. Of course having the difference explained using the definition is important since it’s important to know that in uniform continuity, delta does not depend on the point and only depends on epsilon. However, this difference on the surface may seem unintuitive and unimportant.
However, the rectangle demonstration perfectly encapsulates the intuitive idea behind why we care about uniformly continuous functions. For general continuous functions, there exists a rectangle that encloses the value of the function over some delta interval of x values, but the height of that box (and thus the area of the box) may depend on the specific point of the function that we are looking at. A given delta interval of x values does not always correspond to the same epsilon interval of function values due to the influence of the point itself.
Uniformly continuous functions for a given delta interval for x have the same rectangle at every point of the function. The height of the rectangle, the epsilon interval for the image of the function, only depends on the given delta value. Hence the name uniform continuity.
Thank you so much!! I'm studing real analysis this semester and it all seems so theoritical, it's hard to draw a picture like that. Your videos really help with understanding the material, thanks again.
Thank you brother. I just realised i passed through Real analysis without intuitively understanding this. Sometimes we can just continually talk about the definition without intuitively understanding it. This intuition is the best. Continue the good work.
You have a true gift. Thank you so much!! Now I just need to understand pointwise and uniform convergence!
Hey there! Still need help with that?
this was the most intuitive explanation ever thank you so much for this
The rectangle really helps me to understand the concept. Thank you so much.
I have spent the entire semester trying to figure this out. Thank goodness I found this video, thank you!!
This is a GREAT explanation! thank you
I am studying real analysis and this helped a lot to visualize uniform continious functions, Thank you sir.
WOOOT, maths made clear, love it thanks
Good explanation!
Thank you!
Man! You're a lifesaver
Pretty good video, but it seems like you call f(x) values “y values” which can be confusing given the definition. The definition states that both x and y lie in the domain of f. What that means for the definition is that you can think of x and y as 2 different “x values” (by x values I mean domain values, as in they are defined by their position on the x axis). For uniform continuity, we see that the difference between 2 points is arbitrarily small (less than delta) and thus the difference between f(x) and f(y) is also small (less than epsilon). By small, I mean small enough to satisfy the definition of uniform continuity. The rectangle visualization is still correct though. When an f value (escapes) the rectangle, that would mean that abs(f(x)-f(y)) is no longer less than epsilon and is therefore not uniformly continuous at the point (y,f(y)). I hope what I said can help anyone who might’ve been confused by that. If it was just me who was confused than oh well.
Hey good point and thanks for your comment. 😄
The Math Sorcerer yeah man I was mostly just putting my thoughts here so I could better understand what’s going on. Appreciate the instant feedback to my comment as well that’s nice. Keep up the good work!
@@CheesyBread yup icould tell it's good to do that. I do the same thing sometimes writing down your thought process helps clarify stuff.
@@CheesyBread and thanks man😄
Really thank you I was confused on that to
best analysis teacher!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Hello Sir...If a function is uniformly continuous on a closed interval, could we refine the definition of uniform continuity by replacing the condition |x-y| < δ and |f(x) - f(y)| < ε with |x-y| ≤ δ implying |f(x) - f(y)| ≤ ε ? Please sir, clarify it.
Such a good way of explaining these concepts, thank you
Sir, If a function is uniformly continuous on a closed interval, could we refine the definition of uniform continuity by replacing the condition |x-y| < δ and |f(x) - f(y)| < ε with |x-y| ≤ δ implying |f(x) - f(y)| ≤ ε ?
Nice explanation. Very clear.
Thank you!!!!
Does delta in non uniform definition depend on x also or just c and epsilon ?
Wow! Super clear explanation!
Just a second... If it says for EVERY Epsilon, cant the epsilon change, hence the rectangle changes as well?
best explanation ever....thank you
which one of your playlists has videos on these topics?
Thanks for this video. I found it really helpful. I completed my masters this year. But I still get confused between uniform continuity and continuity😭😭. Finally the confusion is gone. Thanks a lot.
I think a better way to understand Uniform Continuity (not sure if it's accurate) is that if a function is uniformly continuous on the real set of numbers, then the function is continuous and the slope of the tangent line of every point of the function is within a finite range.
Thank you for this. It was very helpful. I needed @Cheesy Bread’s explanation about the f(y) to fully understand what you were saying.
Wish my teacher had explained it this way, thank you very much!
You are welcome ❤️
Now I got why the name uniform refer to. Big thanks, professor.
You are welcome!
Thank you very much, It was very helpful :)
Thank you for this! Very helpful video!
That was a nice explanation
Thank you!
Very understandable 😍
But one point is making me confuse
In the very last when u talk about rectangles ; in uniform continuity the size of rectangle should same at one place of graph when compared with continuity or at any point of graph size of rectangle should be same.?
What a fantastic video, can't thank you enough, cleared all my doubts!
Best explanation ever
Love the idea of the rectangle!!
Awesome explanation .....Thank you very much!! :D
Np!
yo man that's awesome have a great day
Awesome explaination 👍👍
You're a lifesaver!!!!! 👍🕺
This is incredibly helpful !!!
Thank you!!
Glad it was helpful!
In your example with the red function near the end of uniform continuity, why could we not change the rectange to be taller so that we capture all of f(x) and f(y)? If it the rectangle is tall enough for the "worst case", shouldn't it be tall enough for the whole function and then be uniform continuous?
read this math.stackexchange.com/questions/2283008/uniform-continuity-of-function
@@TheDetonadoBR thanks
This is absolutely amazing!!
Thank you!!
Very helpful
Great job man appreciate it
So helpful thank you!!
hi
I have some comments:
firstly, thanks for the video and explanation ;)
second, you should work the voice for next videos some parts it's very low then goes up suddenly.
the most important comment is about uniform continuity
I didn't get the drawing of a rectangle what if it goes like a wave but not down.
when can we decide whether it goes away from the rectangle or not?
I like that you have explained analytically and geometrically !!
thanks again
so in one, delta is a function of epsilon, and in another, delta is a function of epsilon and the point
isnt it 'for all x in dom(f)" not "for all x in R"?
Thank you
thank you !!!
Thank you !
np!
And................ the sorcerer does magic !
yes!!
amazing!!!
Amazing
Oh Thanks man!!
Thanksss🔥❤️
You are welcome!
I don't see a difference in the definitions except for the order they're written. It says for continuous, it's dependent on c but in uniformly continuous it's dependent on y, but y and c are both just real numbers, you just changed the name of the variables, they're still just in R doesn't matter what you call them, so no difference there.
It's the order only that matters. Go to page 2 of this pdf www.math.wisc.edu/~robbin/521dir/cont.pdf
I was confused with this as well... but then I noticed what he said: that Delta in the Uniform Continuity can only depend on Epsilon, not on x. The language used to define this is specific, as follows: Whereas the first definition mentions the existence of "c" before it mentions that Delta exists, the second definition does not mention X or Y before it mentions that Delta exists. It's a subtle difference in linguistics, but is intentional. It's the mathematicians way of saying that Delta can depend on "C" in the first definition but cannot depend on X or Y in the second.
In case of continuity delta depends on c so - that value is constant.
While in case of uniform con.. delta depends only on epsilon so no matter what c is that's why that is choosed like a variable y, we can take any no. Of our choices In place of y.
It's very different, in Continuity definition, the "c" is constant, that means that just "x" changes in |x - c| < d, in another terminology, it's a neighborhood with radius 'd' and center 'c' B_d(c), and if 'x' belongs to that neighborhood, then ocurrs that |f(x) - f(c)| < e. or in other terminology, f(x) belongs to B_e(f(c)).
In Uniformly contininuity, we have that |x - y| < d, both changes, it can be any number whose distance is less than 'd'. In ths case, there are not center, not neighborhood, just distane between two numbers
@@Sudhanshux007x Thanks a lot
Oh! now I understand,its all about that damn rectangle
Go through the video ( URL ) given below for best explanation for the difference between continous function and uniform continous function:
ruclips.net/video/hXkQqCBLRp8/видео.html
Still don't understand the uniform continuity part :/
Guess I've got a low IQ.
But I'll think about this visual intuition for some time and hopefully I get it
Random Dude Natural language helps me:
A function is continuous means...
Choose any input value for the function. Whatever you like. And choose any distance epsilon. Then I can find you a distance delta such that just so long as I keep my input values within delta *of the input you chose* , I’ll keep the correponding outputs within epsilon.
A function is uniformly continuous means...
Choose any distance epsilon. Then I can find you a distance delta such that just so long as I keep *any pair* of input values within delta, I’ll keep the outputs within epsilon.
Where does the difference emerge?
In the case of continuity, depending on which input you choose, I might need to keep my other input values within *different* distances (some may need to be really small, I might be safe keeping some fairly large) to keep their outputs within epsilon.
Whereas in the case of uniform continuity, no matter what input you choose, I can always find the *same* distance delta between other input values which keeps their outputs within epsilon.
I spent a long time to feel the difference between continuity and uniform continuity....
Thank you
You're welcome!