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数学 大学生・専門学校生・社会人

白チャート数IIIの数列の極限の問題です 2枚目の紙の☆→♡への式変形が分からないので解説をお願いします〜>_< (2枚目の紙は単純に白チャートに書き込みすぎてぐちゃぐちゃだったから書き直しただけです())

この命題の対側 (2) 無限級数 1+ + +...+ 1 3 n 命題が直 CHART ・対偶も & GUIDE ず再 ここで,m→∞のときぃ となる。 ∞ 発 例題 展 37 無限級数が発散することの証明 (2) (1)は自然数とする。1/12/10/ 1 2 <<< 標準例題22 ①①① k=1k +1 を数学的帰納法によって証明せよ。 1 ・+・・・・・・ は発散することを証明せよ。 無限級数が発散することの証明 (部分)> (∞に発散する数列)の利用 (2)(1)の不等式を利用する。 M 65 2 すると1/2 発展学習 2m 解答 1 n (1) k=1 k ・分子をnで割る。 IS [1] n=1のとき 1/2=1+1/2=1/2 {a} は収束するか 限値は0ではな (2)- 2m + 2k +1 ...... (A) とする。 '+1 ゆえに, n=1のとき(A) は成り立つ。 [2]n=m(mは自然数) のとき, (A) が成り立つ、すなわち1+1が成り 2+1 これをくり返し ( [ 「 m+1 立つと仮定すると n=m+1のとき ' 1 21 21 m 1 1 +1 + + k=k k=1k k=2+1k 2 2m+1 2m+2 2m+1 利 無限級 m +1+ + 1 2"+1 2m+2 1 1 ・+・ + 2"+2m -I' 例題 37 (2) m 1 m+1 +1+ •2m +1 2 2m+1 2 よって, n=m+1 のときにも (A) は成り立つ。 これを示したい [1] [2] から, すべての自然数nについて (A)は成り立つ。 21 (2) S=1/2" とすると, (1) から m +1 k=1 k k=1 k 2 ここで,m→∞のとき n→∞ m ゆえに limSlim n→∞/ るから, S である。」 よって発散する!! m n=1 n 2 E 621 1 d T TRAINING 1 37 ⑤ 00 2が発散することを利用して,無限級数Σ n=1 n m-00 2 追い出し +1=8 0 1+2+2 =2m+1 m 2°+2+2+2 m は発散することを示せ。 n=1 n 2m+2nt m [ 22 +2.2" M =2(

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TOEIC・英語 大学生・専門学校生・社会人

この長文問題の答えと解説をお願いします。

15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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