The Gaussian Integral
Summary
TLDR本视频讲解了如何计算从负无穷到正无穷的e的负x平方次方的积分。通常,求解定积分需要先找到原函数,但本题的原函数较为复杂,涉及误差函数。视频中通过绘制函数图像,发现其与正态分布曲线相似。通过将积分问题转化为求体积问题,并利用具有径向对称性的空心圆柱体来近似计算体积,最终得出积分结果为根号下π。这个过程展示了高斯积分的概念,它在数学和物理学中非常重要,特别是在处理正态分布时。
Takeaways
- 🤔 计算 e^(-x²) 在从负无穷到正无穷的积分是一个复杂的问题,使用常规的不定积分方法难以解决。
- 📉 e^(-x²) 的图像与正态分布曲线相似,实际上它就是正态分布的曲线。
- 🔢 直接求不定积分会得到一个非初等函数——误差函数(error function),不易处理。
- 🔄 可以通过转换为极坐标,简化积分问题,将 e^(-x²-y²) 转换为一个关于 r 的函数。
- 📏 通过几何方法,积分相当于计算一个 3D 钟形曲线下的体积,这个体积具有辐射对称性。
- 🛠️ 通过分解该体积为无数个半径从零到无穷的同心圆柱体,将体积转化为对每个小圆柱体的积分。
- ✂️ 这些圆柱体的体积可以通过高度(函数值)、周长(2πr)和厚度(dr)的乘积来计算。
- ♾️ 最终积分从 0 到无穷,通过简单的代换(u = r²)可以将积分简化并求出答案。
- ✔️ 最后得到的积分结果是 π,因此原始的积分结果为 √π。
- 📚 这个积分被称为高斯积分(Gaussian integral),在数学和物理中广泛出现,尤其是在正态分布的归一化过程中。
Q & A
视频中提到的积分是什么类型的积分?
-视频中提到的积分是定积分,具体是计算函数e^(-x^2)从负无穷到正无穷的积分。
为什么直接计算不定积分不是解决这个问题的好方法?
-直接计算不定积分不是好方法,因为对于这个函数,不定积分相当复杂,涉及到非初等函数——误差函数,这使得计算过程变得困难。
视频中提到了误差函数,它是什么?
-误差函数是一个非初等函数,它不能简单地用基本的数学运算来描述,通常在数学中用来表示某些积分的解。
视频中提到了正态分布曲线,它与我们要积分的函数有什么关系?
-我们要积分的函数e^(-x^2)的图形实际上就是正态分布曲线,这是高斯分布的一个特例。
视频中提到了将积分问题转化为体积问题,这是如何实现的?
-通过将函数e^(-x^2 - y^2)转化为依赖于R(点到z轴的距离)的形式,并利用具有径向对称性的空心圆柱体来近似计算体积,从而将积分问题转化为体积问题。
视频中提到的'I'代表什么?
-'I'代表的是积分∫e^(-x^2)dx从0到∞的结果,它是我们要求解的原始积分问题的答案。
视频中提到的'I^2'是什么意思?
-'I^2'指的是'I'的平方,也就是积分∫e^(-x^2)dx从0到∞的结果的平方,这与我们要求解的原始积分问题相关。
视频中是如何通过积分来计算体积的?
-通过将体积分解为无限多个无限细的空心圆柱体,然后对每个圆柱体的体积进行积分,最后求和得到总体积。
视频中提到的高斯积分有什么特殊的意义?
-高斯积分在数学和物理学中有广泛的应用,特别是在处理正态分布和其归一化方程时非常重要。
视频中最后得出的积分结果是什么?
-视频中最后得出的积分结果是√π,即∫e^(-x^2)dx从-∞到∞的积分等于√π。
视频中提到的积分方法为什么有效?
-视频中提到的积分方法有效,因为它利用了函数的径向对称性和体积分解的思想,通过将复杂的积分问题转化为更简单的体积计算问题。
Outlines
🧮 高斯积分的介绍与挑战
第一段介绍了从负无穷到正无穷的 e 的负 x 平方次幂的积分。通常情况下,计算定积分的方法是找到其不定积分,但对于这个特定问题,不定积分非常复杂,并且涉及到误差函数。误差函数是一种非初等函数,无法通过基本的数学操作来表示。因此,视频提出了一种更有效的方法来解决该问题。接着,视频讨论了如何利用类似的积分来帮助求解原问题,并解释了 e 的负 x 平方次幂的函数图像与正态分布曲线的相似性。最后,通过分析类似积分的形式,提出了一个新的思路,即将积分拆分为两个相同的部分,从而简化问题。
🔍 利用柱形积分法求体积
第二段讲解了如何利用柱形积分法来求解复杂的三重积分问题。首先,通过将 e 的负 (x² + y²) 次幂转换为 e 的负 r² 次幂,利用极坐标形式简化了问题的表达式。接着,视频引入了“径向对称性”的概念,说明如何通过旋转图像来保持函数的形状不变。这种对称性使得我们可以使用“中空圆柱体”的方式来计算体积。通过将目标体积划分为无数个细小的圆柱体,并且利用极限的思想,将这些圆柱体的体积相加,最终得到一个积分表达式。
📏 高斯积分求解及其应用
第三段进一步详细解释了如何通过柱形积分法求出 e 的负 r² 次幂在整个三维空间内的体积。首先,将柱体切割成“纸条”以便更好地理解体积计算过程。然后,通过计算每个圆柱体的体积,构建一个积分表达式。最后,利用代换法(u = r²)简化积分并求解出最终结果,即 π。通过取平方根,得出初始积分的最终答案 √π。这个积分被称为高斯积分,并广泛应用于数学和物理中,特别是在正态分布的归一化过程中。
Mindmap
Keywords
💡积分
💡不定积分
💡误差函数
💡正态分布曲线
💡高斯积分
💡定积分
💡对称性
💡体积
💡微分
💡圆周率π
💡极坐标
Highlights
求解负无穷到正无穷的e的负x平方次方的积分。
通常求解定积分需要先求不定积分,但此方法对这个问题可能不适用。
e的负x平方次方的不定积分相当复杂,涉及误差函数。
误差函数是数学中的非初等函数,无法用基本数学运算描述。
通过图形分析,该函数的图形类似于正态分布曲线。
利用误差函数的对称性,将问题转化为求解两个相似积分的乘积。
通过变量替换,将积分问题简化为求解e的负x平方次方的积分。
将积分问题转化为求解三维空间下曲线下的体积问题。
利用径向对称性,将体积问题分解为多个同心圆环的体积和。
通过无限细分圆环的方法,将体积问题转化为积分问题。
利用变量替换,将积分问题进一步简化为可解的形式。
最终积分结果为π,即e的负x平方次方积分的平方。
此积分问题被称为高斯积分,在数学和物理学中有广泛应用。
高斯积分在正态分布的归一化方程中非常重要。
通过本视频,观众可以了解高斯积分的求解方法及其在数学和物理学中的应用。
Transcripts
what's the integral of e to the minus x
squared when evaluated from minus
infinity to infinity if you want you can
pause this video here and get out a
piece of paper and try to actually
evaluate the integral but if you don't
want to then just carry on watching the
video now normally when you finding
definite integrals when you have an
integration which has got a range you
have to integrate over what you usually
do is you'll just find the indefinite
integral of that function and then plug
the numbers in as appropriate then
subtract them with each other however
for this particular problem trying to
find the indefinite integral of this
function and then hence the definite
integral is probably not the best way
for you to go about trying to solve the
problem because the indefinite integral
for this problem is actually rather
complicated now if you try asking
Wolfram Alpha what the indefinite
integral of e to the power of minus x
squared equals to it will give you some
answers in terms of what we call the
error function now this error function
as we call in mathematics is a non
elementary function meaning that it
can't be described simply in terms of
mathematical operations that you're
probably already familiar with now the
error function can be found however it's
just so complicated that we're probably
better off trying to solve this problem
using a different method so before we
even try to go in and evaluate the
interval let's actually look at what the
function looks like when it's plotted
out on a graph now the plotted graph
might ring a bell for some of you
because it does look like the normal
distribution curve in fact the graph
doesn't just look like the normal
distribution curve it is actually the
normal distribution curve but enough
about the normal distribution how do we
evaluate this integral well in order to
help us find what I is we're gonna be
looking at a very similar integral now
how are these two integrals actually
similar to each other
well let's carefully look at this
particular integral here now look at
this particular function e to the power
of minus x squared plus y squared you
can rewrite this top it as e to the
power of minus x squared minus y squared
and because of indices rule you can
actually split this into
e to power minus x squared times e to
the power of minus y squared now let's
look at the first integral which is with
respect to Y and because it's with
respect to Y this bit be e to the power
of minus x squared bin is not actually
going to affect the int go in any way
because it's with respect to X and so we
might as well just take this bit as a
constant and take it outside the
integral and then we're left with this
definite integral which can be evaluated
somehow and get out an answer as a
number as a constant and then if we put
the other integral back in we can also
try to evaluate this integral because
this bit here is actually just a
constant we can move this bit outside
and then all we're left with is this
integral and so what we have earlier now
just reduces to two integrals
multiplying with each other the first
integral will just equal to I as we
defined earlier
and the second integral in fact also
equals to I because it's actually just
the same integral but instead of writing
it in terms of X we're writing
everything in terms of Y instead and so
now what we have is that this integral
equals to I squared or whatever the
answer to the int were interested in
that first squared and so in order to
find the answer to the integral that
we're interested in all you have to do
is just try to find the answer to this
integral and then square root it but
what's the integral of this function it
looks much more complicated why am i
bringing this up well first let's
actually try to see how the function
looks like if I plot it out you'll get a
3d curve basically a three-d bell-shaped
curve and what we're doing in this
particular integral is we're trying to
find the volume underneath the curve
here similar how to when you have a
single integral you're trying to find
the area under the curve a double
integral means you're trying to find the
volume under the curve but the way that
we're gonna be finding the volume under
this particular curve is rather
interesting so stay tuned first let's
look back at the function again e to the
power of minus X square plus y squared
but what is x squared plus y squared if
draw up the equation x squared plus y
squared equals 2r squared on an XY plane
you'll see that what you get is you'll
get an equation for a circle with a
radius ah every point on this curve will
all be a distance R away from the origin
so now let's go back to the function
that we have earlier I'll replace x
squared plus y squared with R squared
and now we have a function that looks
much more interesting instead of having
a function which just depends on x and y
we now have a function which instead
depends on R which is just the distance
that the point is away from the z axis
and with the equation in this form we
can see that this graph actually has got
some sort of a radial symmetry you can
rotate this graph however about the z
axis and it will still look the same and
this particular property you will help
us a lot when trying to find the volume
under this graph so how can we actually
find the volume under this particular
graph well what we can do is we can try
to break this volume down into much
simpler shapes which we can actually
work with and we should try to pick
shapes which also have this sort of
radio symmetry similar to the graph that
we already have so let's pick cylinders
or more specifically hollow cylinders or
just tubes so all we can try to do is we
can try to fit these tubes underneath
the graph within the volume that we're
interested in and then we can try to
find the volume of these individual
tubes sum them all up and then be able
to get the volume that we're interested
in but using tubes which are too thick
we'll leave these particular volumes
uncovered so what we need to do in order
to get a proper accurate answer is to
use tubes with really really thin walls
and we need lots of these in fact for us
to be able to find this particular
volume accurately we need an infinite
number of choose whose thickness is
infinitesimally small so now let's say
underneath the graph we have an infinite
number
of concentric tubes each with radii
varying from zero all the way to
infinity
so now we can do is we can try to find
the volume of these individual tubes and
then hence be able to find the volume of
the entire thing so let's just take out
an individual tube and try to find its
volume but let's make things a bit
simpler rather than thinking of this as
a tube let's get a scissor and cut this
up like this so now rather than having a
tube we have to deal with all we have is
just some sort of a strip of paper which
we have to find the volume or the height
of these tubes is simple it's just
whatever the function equals do so
basically in this case it would just be
e to the power of minus R squared now
the length of this volume well because
this volume before used to be a cylinder
the length of this volume would just be
whatever the circumference of that
particular cylinder is so for this case
it'll just be 2 PI R now about the
thickness of this particular volume well
let's go back to the picture of the tube
in beginning the thickness of the two
were just equal to whatever this length
is minus whatever this length is this
length would just be R whereas this
length would just be R plus a little bit
more which I'll call D R and so the
thickness would just simply be d r a
really really small distance and so we
multiply all of these three things
together we'll get that the volume of
each of these tubes equals 2 e to the
power of minus R squared times 2 PI R
times d R and since we have an infinite
number of choose with varying radii from
0 all the way to infinity we need to
perform an infinite sum of these tubes
or perform an integral for this
particular volume going from 0 all the
way to infinity and so now trying to
find the volume under this graph is just
as simple as trying to evaluate this
integral which is very doable if you
know bit of substitution we can let u
equal to R squared so that D u equal
- to our dr stop - things as appropriate
cancel a few things out then get an
integral which can be evaluated and then
find the answer to this integral and if
we do all this process we'll get the
answer out of Pi and so now we have the
answer to the volume underneath this
graph which means we have the answer to
this integral and because this integral
equals to I squared we can finally find
what I equals U which is just the square
root of pi meaning that we have the
final answer to the very problem that I
proposed at the very beginning like
quite a bit ago the integral of e to the
minus x squared from minus infinity to
infinity will equal to the square root
of pi now the integral here that we've
just solved does have a special name and
it's called the Gaussian integral and
this Gaussian integral can be seen quite
a lot - all across mathematics and
physics as you've seen earlier we'll
come across this Gaussian integral and
we're working with normal distributions
and being able to evaluate this Gaussian
integral is important when we're trying
to normalize the equation for the normal
distribution but anyways is all I have
time for thank you very much watching
this video and I'll see you again very
soon
goodbye
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