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Title: Introduction
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Series: Multivariable Calculus
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YouTube-Title: Multivariable Calculus 1 | Introduction
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Bright video: https://youtu.be/4QhZTagNq9Q
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Dark video: https://youtu.be/WQ-0s3KwYCA
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Ad-free video: Watch Vimeo video
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Quiz: Test your knowledge
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Dark-PDF: Download PDF version of the dark video
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Print-PDF: Download printable PDF version
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Thumbnail (bright): Download PNG
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Thumbnail (dark): Download PNG
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Subtitle on GitHub: mc01_sub_eng.srt
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Timestamps
00:00 Intro
00:39 Prerequisites
02:15 Applications of the course
02:58 Content of the course
04:20 Credits
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Subtitle in English
1 00:00:00,779 –> 00:00:02,759 Hello and welcome to this
2 00:00:02,769 –> 00:00:04,590 new series about multi-
3 00:00:04,869 –> 00:00:06,119 variable calculus.
4 00:00:07,030 –> 00:00:08,590 This will be a video course
5 00:00:08,600 –> 00:00:10,039 where I explain things
6 00:00:10,050 –> 00:00:11,560 concerning functions
7 00:00:11,569 –> 00:00:13,359 defined on R^n
8 00:00:14,300 –> 00:00:15,869 For example, we will talk
9 00:00:15,880 –> 00:00:17,840 a lot about derivatives like
10 00:00:17,850 –> 00:00:19,159 partial derivatives,
11 00:00:19,170 –> 00:00:21,079 directional derivatives and
12 00:00:21,090 –> 00:00:22,430 total derivatives.
13 00:00:23,200 –> 00:00:24,579 However, before we start
14 00:00:24,590 –> 00:00:26,139 with this, I really want
15 00:00:26,149 –> 00:00:27,870 to thank all the nice people
16 00:00:27,879 –> 00:00:29,649 who make such new video courses
17 00:00:29,659 –> 00:00:30,940 like this possible.
18 00:00:31,770 –> 00:00:33,470 And there please don’t forget
19 00:00:33,479 –> 00:00:35,180 if you support me on Steady,
20 00:00:35,189 –> 00:00:36,819 you get access to the PDF
21 00:00:36,830 –> 00:00:38,349 versions and quizzes for
22 00:00:38,360 –> 00:00:39,470 all the videos.
23 00:00:40,369 –> 00:00:41,939 Speaking of other videos,
24 00:00:41,950 –> 00:00:43,639 I can tell you it will be
25 00:00:43,650 –> 00:00:45,490 helpful that first you watch
26 00:00:45,500 –> 00:00:47,139 my real analysis course
27 00:00:47,900 –> 00:00:49,759 simply because there we
28 00:00:49,770 –> 00:00:51,029 discuss the normal
29 00:00:51,040 –> 00:00:52,560 calculus in one
30 00:00:52,569 –> 00:00:53,240 variable.
31 00:00:54,279 –> 00:00:56,139 In other words, multivariable
32 00:00:56,150 –> 00:00:57,930 calculus will extend
33 00:00:57,939 –> 00:00:59,259 this series here.
34 00:01:00,139 –> 00:01:01,779 However, of course, you don’t
35 00:01:01,790 –> 00:01:03,349 need to understand everything
36 00:01:03,360 –> 00:01:05,099 in real analysis to start
37 00:01:05,110 –> 00:01:06,500 with this multivariable
38 00:01:06,510 –> 00:01:07,709 calculus course.
39 00:01:08,400 –> 00:01:09,980 Moreover, soon you will
40 00:01:09,989 –> 00:01:11,819 notice that we will extend
41 00:01:11,830 –> 00:01:13,660 a lot of notions from one
42 00:01:13,669 –> 00:01:15,410 variable here to several
43 00:01:15,419 –> 00:01:16,480 variables there.
44 00:01:17,449 –> 00:01:19,190 And exactly for this reason,
45 00:01:19,260 –> 00:01:20,919 also my linear algebra
46 00:01:20,930 –> 00:01:22,510 course can help you there.
47 00:01:23,569 –> 00:01:25,180 This is what you will understand
48 00:01:25,190 –> 00:01:26,940 immediately when we write
49 00:01:26,949 –> 00:01:28,529 down functions from
50 00:01:28,540 –> 00:01:30,300 R^n to R^m.
51 00:01:31,430 –> 00:01:32,790 In the linear algebra course,
52 00:01:32,800 –> 00:01:34,510 such functions would
53 00:01:34,519 –> 00:01:36,139 be linear functions.
54 00:01:36,870 –> 00:01:38,849 However, here in multivariable
55 00:01:38,860 –> 00:01:40,739 calculus, we will consider
56 00:01:40,750 –> 00:01:42,419 a lot of different functions
57 00:01:42,430 –> 00:01:43,980 from R^n to R^m.
58 00:01:44,889 –> 00:01:46,250 But still, we will
59 00:01:46,260 –> 00:01:47,709 ask if we can
60 00:01:47,720 –> 00:01:49,589 approximate these functions
61 00:01:49,599 –> 00:01:51,069 with linear functions
62 00:01:52,110 –> 00:01:53,769 which as you might know from
63 00:01:53,779 –> 00:01:55,220 the one variable case
64 00:01:55,230 –> 00:01:56,779 leads to the notion of
65 00:01:56,790 –> 00:01:57,860 derivatives.
66 00:01:58,870 –> 00:02:00,699 Moreover, you also know
67 00:02:00,709 –> 00:02:02,599 such derivatives can help
68 00:02:02,610 –> 00:02:04,080 finding maxima and
69 00:02:04,089 –> 00:02:05,720 minima of functions.
70 00:02:06,910 –> 00:02:08,529 And now with this course,
71 00:02:08,538 –> 00:02:10,320 we will be able to do this
72 00:02:10,330 –> 00:02:12,160 for quantities of interest
73 00:02:12,169 –> 00:02:13,610 that depend on several
74 00:02:13,619 –> 00:02:14,360 factors.
75 00:02:15,419 –> 00:02:17,039 And indeed, you will see
76 00:02:17,050 –> 00:02:18,740 we have a lot of applications
77 00:02:18,750 –> 00:02:19,320 for this.
78 00:02:20,190 –> 00:02:21,550 In addition, this course
79 00:02:21,559 –> 00:02:22,919 now can help you to
80 00:02:22,929 –> 00:02:24,720 understand my more advanced
81 00:02:24,729 –> 00:02:25,440 courses.
82 00:02:26,389 –> 00:02:28,039 Indeed quite fitting after
83 00:02:28,050 –> 00:02:29,929 this will be my manifolds
84 00:02:29,940 –> 00:02:30,649 course.
85 00:02:31,539 –> 00:02:32,970 And also functional
86 00:02:32,979 –> 00:02:34,589 analysis will generalize
87 00:02:34,600 –> 00:02:36,199 a lot of topics from here.
88 00:02:37,059 –> 00:02:38,800 And lastly, I can tell you
89 00:02:38,809 –> 00:02:40,679 if you know how to deal with
90 00:02:40,690 –> 00:02:42,320 multivariable calculus,
91 00:02:42,330 –> 00:02:44,000 you also know how to deal
92 00:02:44,009 –> 00:02:45,520 with complex analysis.
93 00:02:46,529 –> 00:02:48,119 So in some sense here, you
94 00:02:48,130 –> 00:02:49,839 can use a lot of facts for
95 00:02:49,850 –> 00:02:51,649 functions from R² into
96 00:02:51,660 –> 00:02:52,309 R².
97 00:02:53,220 –> 00:02:53,679 OK.
98 00:02:53,690 –> 00:02:55,100 Now I think we can talk a
99 00:02:55,110 –> 00:02:56,600 little bit about the topics
100 00:02:56,610 –> 00:02:58,080 you can expect here.
101 00:02:58,830 –> 00:03:00,259 First, we start very
102 00:03:00,270 –> 00:03:02,000 simple and talk about
103 00:03:02,009 –> 00:03:03,600 continuous functions.
104 00:03:04,410 –> 00:03:06,160 So we will extend the definition
105 00:03:06,169 –> 00:03:08,119 of continuity that we
106 00:03:08,130 –> 00:03:09,949 learned in real analysis.
107 00:03:10,779 –> 00:03:12,570 Then in a similar sense,
108 00:03:12,580 –> 00:03:14,380 we will generalize the notion
109 00:03:14,389 –> 00:03:16,110 of a derivative from one
110 00:03:16,119 –> 00:03:18,029 variable. However,
111 00:03:18,039 –> 00:03:19,580 it turns out there are a
112 00:03:19,589 –> 00:03:21,330 lot of different possibilities
113 00:03:21,339 –> 00:03:22,020 for that.
114 00:03:22,029 –> 00:03:23,440 And therefore, we will talk
115 00:03:23,449 –> 00:03:25,059 about partial derivatives,
116 00:03:25,070 –> 00:03:26,979 directional derivatives and
117 00:03:26,990 –> 00:03:28,270 total derivatives.
118 00:03:29,220 –> 00:03:31,169 Indeed, we will see all
119 00:03:31,179 –> 00:03:32,619 of these notions will be
120 00:03:32,630 –> 00:03:33,770 important for us.
121 00:03:34,550 –> 00:03:36,220 Moreover, by using
122 00:03:36,229 –> 00:03:37,889 these things here, we can
123 00:03:37,899 –> 00:03:39,770 generalize an important theorem
124 00:03:39,779 –> 00:03:41,229 from real analysis,
125 00:03:41,300 –> 00:03:43,289 namely Taylor’s theorem.
126 00:03:44,199 –> 00:03:45,679 So I would say this is a
127 00:03:45,690 –> 00:03:47,229 very important fact
128 00:03:47,330 –> 00:03:48,899 but also the most
129 00:03:48,910 –> 00:03:50,369 important fact for multi-
130 00:03:50,380 –> 00:03:52,149 variable calculus will be
131 00:03:52,160 –> 00:03:53,580 the implicit function
132 00:03:53,589 –> 00:03:54,259 theorem.
133 00:03:55,089 –> 00:03:56,889 In fact, this is a result
134 00:03:56,899 –> 00:03:58,449 that is used in a lot of
135 00:03:58,460 –> 00:03:59,369 applications
136 00:04:00,259 –> 00:04:01,639 and in a similar way, the
137 00:04:01,649 –> 00:04:03,429 next one here is also used
138 00:04:03,440 –> 00:04:04,080 a lot,
139 00:04:04,089 –> 00:04:05,910 it’s the famous method of
140 00:04:06,410 –> 00:04:07,630 Lagrange multipliers.
141 00:04:08,399 –> 00:04:08,839 OK.
142 00:04:08,850 –> 00:04:10,220 There we have it, this is
143 00:04:10,229 –> 00:04:11,820 the overview of the course
144 00:04:11,830 –> 00:04:13,190 and we start in the next
145 00:04:13,199 –> 00:04:15,100 video with continuity.
146 00:04:16,048 –> 00:04:17,649 Therefore, I would say let’s
147 00:04:17,660 –> 00:04:19,149 meet there and have a nice
148 00:04:19,160 –> 00:04:19,589 day.
149 00:04:19,640 –> 00:04:20,390 Bye.
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Quiz Content
Q1: Which video courses should you watch before this one?
A1: Real Analysis and Linear Algebra
A2: Real Analysis and Functional Analysis
A3: Functional Analysis and Linear Algebra
A4: Manifolds and Complex Analysis
Q2: What is not a correct definition of $f^\prime(x_0)$ for a function $f: \mathbb{R} \rightarrow \mathbb{R}$?
A1: $\displaystyle \lim_{x \rightarrow x_0} \frac{f(x) - f(x_0)}{x - x_0}$.
A2: $\displaystyle \lim_{x \rightarrow x_0} \frac{f(x_0) - f(x)}{x_0 - x}$.
A3: $\displaystyle \lim_{z \rightarrow x_0} \frac{f(x_0) - f(z)}{x_0 - z}$.
A4: $\displaystyle \lim_{x_0 \rightarrow x} \frac{f(x_0) - f(x)}{x - x_0}$.
A5: $\displaystyle \lim_{n \rightarrow \infty} \frac{f(x_n) - f(x_0)}{x_n - x_0}$ if we get the same value for each sequence $x_n \xrightarrow{n \rightarrow \infty} x_0$.
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Last update: 2024-10
