0
  1. Trang chủ >
  2. Giáo án - Bài giảng >
  3. Toán học >

Giới hạn dãy số + hàm số ( tong hop)

Giới hạn dãy số + hàm số ( tong hop)

Giới hạn dãy số + hàm số ( tong hop)

... n + + + + + + = = = + + + 2 22222 ( 3 3 )( 3 3 )2) lim 3 3 lim ( 3 3 )333 3 3lim lim lim23 33 31 1n n n n n nn n nn n nnnn n nn n + + + + + + + − = = + + + + + = = = + + + + ... lim4nn + + 5 13 / lim3 2nn− + 222 34 / lim2n nn n n + + + −22 35.lim1n nn n + + + ( 1 )(2 1)6.lim (3 2 )( 3)n nn n + + + (2 )(3 )9.lim ( 1 )( 2)n n nn n + + + Bài ... = = + + + + + + 2 2222 ( 4 5 3 2 )( 4 5 3 2 )3) lim 4 5 3 2 lim4 5 3 23 3 3lim lim44 5 3 2n n n n n nn n nn n nnn n n + + + + + + + − = + + + + = = + + + Bài 5 :Giới hạn trong...
  • 2
  • 710
  • 20
CÁCH TÍNH GIỚI HẠN CỦA DÃY SỐ, HÀM SỐ VÀ CÁC BÀI TOÁN LIÊN QUAN

CÁCH TÍNH GIỚI HẠN CỦA DÃY SỐ, HÀM SỐ VÀ CÁC BÀI TOÁN LIÊN QUAN

... n n + + − − + + + + + + + − − ( ) ( ) ( ) ( ) ( ) ( ) 2 2 5 2 3 2 3 1 10 4 3 ) lim )lim 3 2 1 4 1 3 3 n n n n g h n n n n + − − − − + − BT3: Tìm các giới hạn sau: ( ) ( ) ( ) ( ) 3 ... + + + + + + − − + − − ( ) 2 3 1 4 3 2 3 2 4 1 3 2 2 2 1 2 3 11 ) lim )lim ) lim )lim 7 6 9 6 8 11 3 2 4 4 n n n n n n n n e f g h n n n n n n n + + + + + + − − + − − − + + + + ( ) ( ... x x x x x x x x + + + + + + + − − = + + − − = = + +   + +  ÷   − − = = =     + + + +  ÷  ÷     BÀI TẬP BT14: Tính các giới hạn sau: ( ) ( ) 2 2 )lim 2 4...
  • 15
  • 103,465
  • 110
cac dang bai tap gioi han day so va ham so

cac dang bai tap gioi han day so va ham so

... 132lim/52 ++ + nnnn )3 )(2 3( )12 )(1 ( lim/6 ++ + nnnn 132lim/722 ++ + nnnn 132lim/8243 ++ nnn )2 )(1 ( )3 )(2 ( lim/9 ++ + nnnnn Bài tập 2: Tính các giới hạn: 112lim/122 + −nn ... có: u1 + u4 + u7 + u10 + u13 + u16 = 147 ⇔ (u1 + u16) + (u4 + u13) + (u7 + u10) = 147 ⇔ (2 u1 + 15d) + (2 u1 + 15d) + (2 u1 + 15d) = 147 ⇔ 3(2 u1 + 15d) ... 165.Giải:Gọi cấp số cộng là: ÷ u3 - 3d, u3 - d, u3, u3 + d, u3 + 2d Theo giả thiết ta có: ±==⇔ =++ ++ + + =++ ++ + + 25165) 2() ( )() 2( 25) 2() ( )() 2( 332323232333333dududuududududuududu...
  • 20
  • 8,550
  • 141
bài tập trắc nghiệm giới hạn dãy số và hàm số

bài tập trắc nghiệm giới hạn dãy sốhàm số

... 7lim3 5n nn− + + a. 2/3 b. 0 c. -∞ d. Đáp án khácCâu 25: 222 15 11lim3 3n nn n− + + a. 2/3 b. -2/3 c. -∞ d. + ∞Câu 26: ( ) ( )3 3 22 1 1 3lim7 5n nn n + + −a. -6 b. ... 6 c. -∞ d. + ∞Câu 27: ( )2 2lim 2 3 1n n+ − + a. 2 b. 1 c. -∞ d. + ∞Câu 28:1lim1n n+ −a. 0 b. 1 c. -∞ d. + ∞Câu 29: 3 11lim1 7.2nn− + a. 0 b. 1 c. -∞ d. + ∞Câu 30: 12 ... 3/2 Câu 21: ( )4lim 50 11n n− − + a. -∞ b. + ∞ c. 1 d. – 1Câu 22: 3 2 3lim 7n n−a. -∞ b. + ∞ c. 1 d. – 1Câu 23: 33lim2 15n nn− + a. -1/2 b. 3/2 c. - ∞ d. + ∞Câu 24: 4...
  • 2
  • 4,261
  • 321
Nghiên cứu một số vấn đề về nội dung, phương pháp dạy học chủ đề giới hạn và đạo hàm thể hiện qua sáh giáo khoa đại số và giải tích lớp 11

Nghiên cứu một số vấn đề về nội dung, phương pháp dạy học chủ đề giới hạn và đạo hàm thể hiện qua sáh giáo khoa đại số và giải tích lớp 11

... niệm giới hạn của dãy số hàm số 1.2.3.1. Một số vấn đề về giới hạn vô cực của dãy số Ví dụ: Xét += + 2lim nn và += + nnqlim với q > 1. Nhng còn các giới hạn dãy số ( ) ( )21 ... niệm định nghĩa dãy giới hạn, không phải mọi dãy số đều là hoặc có giới hạn hữu hạn ( L0 ) hoặc có giới hạn vô cực ( ), nếu dãy số nào có giới hạn hãy chỉ ra giới hạn của dãy số bằng cách ... 0 (0 %)3 2 (3 ,8%) 0 (0 %)4 0 (0 %) 3 (5 ,5%)5 7 (1 3,5%) 1 2(2 1,8% )6 7 (1 3,5%) 7 (1 2,7%)7 8 (1 5,4%) 15 (2 7,2%)8 10 (1 9,2%) 9 (1 6,4%)9 9 (1 7,3%) 5(9 ,1%)10 8 (1 7,3%) 4 (7 ,3%)11 1 (1 ,9%) 0 (0 %)...
  • 94
  • 1,232
  • 6
Xây dựng hệ thống bài tập nâng cao về chủ đề giới hạn dãy số, giới hạn hàm số nhằm bồi dưỡng năng lực giải toán cho học sinh khá giỏi

Xây dựng hệ thống bài tập nâng cao về chủ đề giới hạn dãy số, giới hạn hàm số nhằm bồi dưỡng năng lực giải toán cho học sinh khá giỏi

... n = k+1, tức là cần chứng minh ( )21kh21)k(k1)h(k1h1 + ++ + + + Thật vậy ( ) ( ) ( ) ( )h1h21)k(kkh1h1h1h12k1k + − ++ ++ =+ + 21)hk(kkhhkh121)k(kh21)hk(kkhhkh122322− ++ ++ + ++ ++ ... dãy số, hàm số, giới hạn dãy số, giới hạn hàm số … 246. Thực trạng dạy học chủ đề giới hạn ở trường PT…………… 25Chương 2: Xây dựng hệ thống bài tập nâng cao chủ đề giới hạn dãy số, giới hạn hàm ... TẬP NÂNG CAO CHỦ ĐỀ GIỚI HẠN DÃY SỐ, GIỚI HẠN HÀM SỐ 2.1. Giới hạn dãy số 2.1.1. Một số bài tập điển hình về giới hạn dãy số SGK Đại số và Giải tích 11Ví dụ 1. Cho dãy số { }nu với nn3nu=a....
  • 81
  • 3,833
  • 6
Nghiên cứu phương pháp và thủ thuật giảng dạy bài khoá môn Tổng hợp tiếng Hán giai đoạn sơ cấp ở Trường Đại Học Dân Lập Hải Phòng

Nghiên cứu phương pháp và thủ thuật giảng dạy bài khoá môn Tổng hợp tiếng Hán giai đoạn cấp ở Trường Đại Học Dân Lập Hải Phòng

... src="data:image/png;base64,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 7++ 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 /+9 y9ZsiQqlRPK1ncvu3zfDbdoU0CYjrplng8F6HxtqzRPYZXmXK5sbTt9Xx6nOIt33HH55ZcvXry4XC4/vG5dpd3dyoN3HuWL+/4p5cp0fFDVUceZ4949e/r 7+3 2FgFlBmAKdbtR5pTkPjZZOjVSpbGu3U2m0G+zMEVsjNnzo1s2bN7feXtq8+b4/+IPc7hnKzYX5rXeOKOd87T23TfllUmtjYl2bAsIUYAo0Go02VTqlA6XX3nPbtshjF9Hncap013XX5UjnnNMdEatXr162bFlE/OZv/uZll122YcOGL3d1TTB0mkcG652HDpXz1shTvqNAmzZ99NFH6/W6bxTQ4ZxjCnSuaa3SlHMa55JOo04MzRE5pZ6enoMHD6aUtlbylz+0ccuW9w3dob+//4tf/OLKlW+MiMce+/H9999fHqdrx56xOn3LoUYdwF9Zpw90WoZa/ATMCi ++ + OIj1ca/1M9pLrpvblY6NQvwq9VUy3/4yLd/p9EYFYhje+7Z6stfWX3eh/78zy+77LJCodBoNL773e9+orL9//43N1x//Tub92k0Gh/5yEd+7/d+74orrliwYEFEPPHEE5 /+9 GcuO /+8 7qee6tm1qzSmRMdW47fmz/+n8y7NKdVKU7mZVDGi1PLz5mL87mXnX3DBBb5ggDAFmJShy42OWup08lKlUh4zcR+D65PGjmUeveWWa6655nvfy9Xqng 9+8 IPjDTfW6/VqtXrPPffccsstzcn9Idu3b9/xyU+2G5fN5XbbTE3HJUxbnyyl+PjSpaMOEkCYArTRaDT ++ / 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 6+8 QZEW33 /+9 //53 /+5 w984APj3eErX/mbc+763GRWRMW0rdlvbjvw8RucbAqcSqbygc71X/750HCVntCCp9zmp5TzeOucxl4mNEc+essXJ6jJ1v99//73v7+vr 2+8 O+zbt2/Lli0f/vCHJ+jX2 2+/ feV997XdPLVtgd62aNEDb7xxTFuOE7OTblMT+oAwBWijv7//Y3t6h+tyEsOlb/vyh/71kSNDjzg7X9T619XpnJhc+TVHJSPFX99668SnkEZEzvm22277whe+0Paeu3bt+vSnP12JSJHu2FRs26Y5509UKjsilSe3i2rTE/m51l8Pp 5+3 FmolIpe3vYY23ZZi1apV2hQQpgADmvtDvYZJ/HJl6yQnuSezBP6ju/7r7bffPnGlVSqVrTmlqGwula 6++ uq1a9c2TwCoVqvf+c53nn /++ XXr1r1rRy1Sipy3NB7esGFDSqmnpyci9u7d+/DDDy9evHj/vGWfPK0UEdfec9uNhx5II49rgqHT8d7a1te6ir9sQh8QpgAj0upAVHbHiVZp895/lyvHXcJTmeTK95y/vGHBBHtC1ev1az/ykZzK0Vzpn9KBAweaf1q8ePHll 1++ atWqH/7wh1d/9YlmJqZcuWPTpojYt29fRCxbtuySSy7p6+vbWtleGVqJNM6JsJVJt+lbT2JvKRP6QEeF6ek+FODU6u/vz8OT+Ce42CmlXC2WauNeEKr5dG2zr81eoSnd9XBeufLBq666qu2z3Xvv9jz8zKmpeQ36obBrvSR9jhTtFksdOXIkuoZftBLbnnrqthsPHRqx2+j4o7ytblu06GR2PM0RX33i7KVLq8IU6ATzfATAqXX/7q5Ri5dOKE7/80VXjvenSruwyxFbI1XK29r2XE7pf//qV7dv397al816/spX/ubhhx9qfb7Dhw83k3RM1Q3f57nn6pPI63jgxjsrKeV2zzLBp1GJeODGO0/y869EPPTii/39/b6KwClnxBQ4lfKBGLES/8T3h/r5Ob9Tif82yY3rJ3NRpZzK79pR2fK3f7tp06Z169YdPnz4Bz/4wYEDBzZs2BCxsfLwmhM5uhTx+GQ/ilTeGvnap+6589ChUW067qkIaWq2karkSLGnUCgYNwWEKfA6tfeFV+/7+atx2hkRkas5alF9Dc9SisqmO2JHpRy1iPjW/Pn/47zzNtVq5ZENt72YfnLRRT9f9zuT68nyI3n77b/xGy+99KuFCxf+/u///rnnnhsRjz32V1Gczk8kpQdS2lzNKVcvf2bnDUePNm8uR1QiqsXi5c88c+nRo6WIShQrm8pTtfd+jqjk+D+69xcKheNu5gogTIE56P97/MXd8xZFc6y0dhJ76ZdKlfInfvzlDx058pZ8SzkiUmXr0B+3vqYN6nOUzj777De96U2tNx48eDCm/2JJtVLaUUo7YvP/qFSGtmJ9atGiBzZ/YkdE5JxynvIt9ysR6Tv1G27ot0IfOIWcYwqcGv39/UOT+Cd3facB//Cv7xrKtTx4lufWabhs0qA06jzUKZfL5UoMnHh66NAbB192ut5RJeLpp5+e7jcFIEyBjnP/7q7BiDzpS4+OTbqUcsRtixZNW5VOVqPx4tS06UksvZ/sa0X85CdPNBoNX05AmAKvI/V6fWqHS0dLaUpWrJ/om+rv76+Nv3dV8z455xNaAt86bjrdHm6s2bNnj+8ncKo4xxQ4Bb75xLHm/y6ejuHSwZ7bNuXPuXjx4tZfh7aCqtfrP/zhD3fu3Hn/wb6I9luP9vf3f+tb99318EM5UhQvOMH3MkPjvjmiWq26SCkgTIHXi2kfLp0p1eqexx9//HvfywO5md7bJvVy3r59+yOPPPK3u3fnSJHKnfyOcsSOWumSZ58VpoAwBV4XnnylezCDZlWWvnpoxK8pbs9Lbv/cQxEp0jibm6ao5HJlR470jlgyO95ljti7d ++ 5 556rTQFhCsxxjUYj7y4MR1DHj5m2TNMfjBxRvrylOyexICnF8a4q2nFhunv3vosvvliYAsIUmOPq9XqO3pgNw6U5529/+zsjpunT6+Lf6OHGmnX797e71CqAMAXmkPt3d8W8HJE6fbg0pa07ci1i4Gqg+ThVmirDbyWXU/MhKeeB/fEjzaKobS6BWrFiha8rIEyBOavRaLwwb1FE6sTh0jwQkENqKaVKjqgM/r08YVzmlmdIEZFyjpzT4I157Lz/mFfsHLVazYamgDAF5rJHDhc6a5w0R8q5JRIjj101P8l8nPA95ZEPL26vlmo7BkZhc0SknDpoSDU3B4jN5gMzzgb7wMz56a5DAwnXGX3aHNSMnAdaLI9/TCdwrMcPzFLeEa09nHPKlc7J9RSRI1WrVd9YQJgCc1O9Xn9i3os5csxM8FQjqtVirka1evxXTMXBVN 0+/ 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 4+6 ZFRq806n1e7d+5xmCswYq/KBmfDCvEUz8jqp5XKnOeWcI+WU0vAkfo7c9hpLOfKobM1RTa3bRZ3AMcRrOVlheL 5+1 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 6+/ qbu7e9QfyxGPP/745x56qJKPk6cp5zs2Fdd//IZl5y+M0xcN3d7f379nz5777rvvb3cvOVXXczrhTwRAmALMsJTzZ8dJ0iFr1qzZtmbNn3z /+/ /uP+a2ZZly/tCGBe/5TPsn6e3t7e3tTSn92/7+v/jP3/4PC1f72AFGceUn4PUtxxeP/tPOT73nqquumqBKh7z1rW/9+kevK 4+5 dlTK+a /+5 LItW9533Cfp7e39f/7d73258HjbC1B11CcDIEyBORyBnSXl/Hebqh/4k5t7e3sn/6i+vr6Pf/yG1qxMOf/1rRvf+ta3TvIZFixYsGXL+/761o3ljq+/FDF//vxCoeDbCwhTQJVOY5VuK6fNmze3ngk6ScuWLfvrWzcObTV6x6bimjVrTvRJ1qxZ85mbbur8odNCYYFvLyBMAaaxSr /+0 evSSSxCWrNmzR2bipGjnPLm13ql0O7u7i1b3vfZm1d3bJv29Ow655xuI6aAMAWYFh945n 8+8 Jmb+vr6TvJ5rr322q9d+9RfvPe9J/k8V1111bf/4r3/15HdUe2Iz6cYMTTA/fLLPaoUEKYA0+U3l3dNZp3TcS1YsODGG2/s6ek5+afq6el551vOjVpHfD6l4S6Nc8751YoVK6bk4wIQpkBHSC4lNDt1dXV1dXX5HICZYR9TgBNQr9e7n3xy4FJOe2vxTDXOK+XlxRTx/NvfMu+CS+bS4GKKWLx4sTAFhCkwp1z96zdW4qlZ/AZePfT0s9Xzv/D1J5/ZPjjNPWK5Uo4UlYiIdP3m529+x5l9l82NUzPtFQUIU2CueVPfovjhbD34p5 9+7 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 8+6 dWvM4wPCFHhdaG5oOjvaNOf+/v7Gui1RLjc3JT3j4PPNBU9Ng2eR5t577y0UCimVZ90/Rxrxc77wwguXLl1quBQQpsDrQnd39w1Ll0ZHTuin80Zf66j3819sNBqrbrqp2anNsG5Tdzt3xquHYhLnz6aOO31zxHDp2rVrVSlwqtijDjg1bVpO+ysduDx9zBUA8s7tsXP70Fmmi1/qirOOtYm7vXvTvzw1qZdYd2nn7A86cpeogWVPwhQ4VYyYAqcmTDcuWBCdN2jaXMDURktD1186rf19vrGjvmrV8V4hR2dd/ap1uHTXunXrzj33XN9PQJgCry+lUqlZpR3Vpq+c+9r3/887t3c/+eTxZurTuO0748YOl65atcpwKSBMgded7u7uWzcuiA5r097e3nT95gniMyK6n3xy7I1NAxcmndDiN7+tY97u6OHSJUuW+GYCwhR4PSqVSp24iP3dm8b/24iETsuXx95a640D ++ 2 Pesxw6ebm0v5OMOoapM3h0t7eXl9L4BSy+Ak4Zbq7u3/3d8/PP3g616opStWIWkckW+r54C0Hv/Cfmr8Vu7trCxZEbeDQnr/4gpc+ekfz51/9L38Q3WcX5x87eumlZ1x5Ze+Pf/KrNxz9ycj984ubNlUfenDg51R+9Y//uBP+azdFNfLAOypGdeXKlddcc42rPQHCFHhdu+CCCz 5+7 Nif1SJHLkWqdcZR9f2bD8Qr83OlEimVUipFPP2ut5//d9/NEYt/9sGb4NEAABmfSURBVMufNS9Aunz58 2+5 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 ++ + K5W3Hb9Ir9+ctm1b9/nPd9JG+qNHoHt6dl122WUrVqzwrQM6isVPQAcplUo3r16d44nIEZFTpM4ZO1385rfFm 9+2 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 9++ 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 ... src="data:image/png;base64,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 7++ 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 /+9 y9ZsiQqlRPK1ncvu3zfDbdoU0CYjrplng8F6HxtqzRPYZXmXK5sbTt9Xx6nOIt33HH55ZcvXry4XC4/vG5dpd3dyoN3HuWL+/4p5cp0fFDVUceZ4949e/r 7+3 2FgFlBmAKdbtR5pTkPjZZOjVSpbGu3U2m0G+zMEVsjNnzo1s2bN7feXtq8+b4/+IPc7hnKzYX5rXeOKOd87T23TfllUmtjYl2bAsIUYAo0Go02VTqlA6XX3nPbtshjF9Hncap013XX5UjnnNMdEatXr162bFlE/OZv/uZll122YcOGL3d1TTB0mkcG652HDpXz1shTvqNAmzZ99NFH6/W6bxTQ4ZxjCnSuaa3SlHMa55JOo04MzRE5pZ6enoMHD6aUtlbylz+0ccuW9w3dob+//4tf/OLKlW+MiMce+/H9999fHqdrx56xOn3LoUYdwF9Zpw90WoZa/ATMCi ++ + OIj1ca/1M9pLrpvblY6NQvwq9VUy3/4yLd/p9EYFYhje+7Z6stfWX3eh/78zy+77LJCodBoNL773e9+orL9//43N1x//Tub92k0Gh/5yEd+7/d+74orrliwYEFEPPHEE5 /+9 GcuO /+8 7qee6tm1qzSmRMdW47fmz/+n8y7NKdVKU7mZVDGi1PLz5mL87mXnX3DBBb5ggDAFmJShy42OWup08lKlUh4zcR+D65PGjmUeveWWa6655nvfy9Xqng 9+8 IPjDTfW6/VqtXrPPffccsstzcn9Idu3b9/xyU+2G5fN5XbbTE3HJUxbnyyl+PjSpaMOEkCYArTRaDT ++ / 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 6+8 QZEW33 /+9 //53 /+5 w984APj3eErX/mbc+763GRWRMW0rdlvbjvw8RucbAqcSqbygc71X/750HCVntCCp9zmp5TzeOucxl4mNEc+essXJ6jJ1v99//73v7+vr 2+8 O+zbt2/Lli0f/vCHJ+jX2 2+/ feV997XdPLVtgd62aNEDb7xxTFuOE7OTblMT+oAwBWijv7//Y3t6h+tyEsOlb/vyh/71kSNDjzg7X9T619XpnJhc+TVHJSPFX99668SnkEZEzvm22277whe+0Paeu3bt+vSnP12JSJHu2FRs26Y5509UKjsilSe3i2rTE/m51l8Pp 5+3 FmolIpe3vYY23ZZi1apV2hQQpgADmvtDvYZJ/HJl6yQnuSezBP6ju/7r7bffPnGlVSqVrTmlqGwula 6++ uq1a9c2TwCoVqvf+c53nn /++ XXr1r1rRy1Sipy3NB7esGFDSqmnpyci9u7d+/DDDy9evHj/vGWfPK0UEdfec9uNhx5II49rgqHT8d7a1te6ir9sQh8QpgAj0upAVHbHiVZp895/lyvHXcJTmeTK95y/vGHBBHtC1ev1az/ykZzK0Vzpn9KBAweaf1q8ePHll 1++ 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 ++ 5 556rTQFhCsxxjUYj7y4MR1DHj5m2TNMfjBxRvrylOyexICnF8a4q2nFhunv3vosvvliYAsIUmOPq9XqO3pgNw6U5529/+zsjpunT6+Lf6OHGmnX797e71CqAMAXmkPt3d8W8HJE6fbg0pa07ci1i4Gqg+ThVmirDbyWXU/MhKeeB/fEjzaKobS6BWrFiha8rIEyBOavRaLwwb1FE6sTh0jwQkENqKaVKjqgM/r08YVzmlmdIEZFyjpzT4I157Lz/mFfsHLVazYamgDAF5rJHDhc6a5w0R8q5JRIjj101P8l8nPA95ZEPL26vlmo7BkZhc0SknDpoSDU3B4jN5gMzzgb7wMz56a5DAwnXGX3aHNSMnAdaLI9/TCdwrMcPzFLeEa09nHPKlc7J9RSRI1WrVd9YQJgCc1O9Xn9i3os5csxM8FQjqtVirka1evxXTMXBVN 0+/ 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 4+6 ZFRq806n1e7d+5xmCswYq/KBmfDCvEUz8jqp5XKnOeWcI+WU0vAkfo7c9hpLOfKobM1RTa3bRZ3AMcRrOVlheL 5+1 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 6+/ qbu7e9QfyxGPP/745x56qJKPk6cp5zs2Fdd//IZl5y+M0xcN3d7f379nz5777rvvb3cvOVXXczrhTwRAmALMsJTzZ8dJ0iFr1qzZtmbNn3z /+/ /uP+a2ZZly/tCGBe/5TPsn6e3t7e3tTSn92/7+v/jP3/4PC1f72AFGceUn4PUtxxeP/tPOT73nqquumqBKh7z1rW/9+kevK 4+5 dlTK+a /+5 LItW9533Cfp7e39f/7d73258HjbC1B11CcDIEyBORyBnSXl/Hebqh/4k5t7e3sn/6i+vr6Pf/yG1qxMOf/1rRvf+ta3TvIZFixYsGXL+/761o3ljq+/FDF//vxCoeDbCwhTQJVOY5VuK6fNmze3ngk6ScuWLfvrWzcObTV6x6bimjVrTvRJ1qxZ85mbbur8odNCYYFvLyBMAaaxSr /+0 evSSSxCWrNmzR2bipGjnPLm13ql0O7u7i1b3vfZm1d3bJv29Ow655xuI6aAMAWYFh945n 8+8 Jmb+vr6TvJ5rr322q9d+9RfvPe9J/k8V1111bf/4r3/15HdUe2Iz6cYMTTA/fLLPaoUEKYA0+U3l3dNZp3TcS1YsODGG2/s6ek5+afq6el551vOjVpHfD6l4S6Nc8751YoVK6bk4wIQpkBHSC4lNDt1dXV1dXX5HICZYR9TgBNQr9e7n3xy4FJOe2vxTDXOK+XlxRTx/NvfMu+CS+bS4GKKWLx4sTAFhCkwp1z96zdW4qlZ/AZePfT0s9Xzv/D1J5/ZPjjNPWK5Uo4UlYiIdP3m529+x5l9l82NUzPtFQUIU2CueVPfovjhbD34p5 9+7 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 8+6 dWvM4wPCFHhdaG5oOjvaNOf+/v7Gui1RLjc3JT3j4PPNBU9Ng2eR5t577y0UCimVZ90/Rxrxc77wwguXLl1quBQQpsDrQnd39w1Ll0ZHTuin80Zf66j3819sNBqrbrqp2anNsG5Tdzt3xquHYhLnz6aOO31zxHDp2rVrVSlwqtijDjg1bVpO+ysduDx9zBUA8s7tsXP70Fmmi1/qirOOtYm7vXvTvzw1qZdYd2nn7A86cpeogWVPwhQ4VYyYAqcmTDcuWBCdN2jaXMDURktD1186rf19vrGjvmrV8V4hR2dd/ap1uHTXunXrzj33XN9PQJgCry+lUqlZpR3Vpq+c+9r3/887t3c/+eTxZurTuO0748YOl65atcpwKSBMgded7u7uWzcuiA5r097e3nT95gniMyK6n3xy7I1NAxcmndDiN7+tY97u6OHSJUuW+GYCwhR4PSqVSp24iP3dm8b/24iETsuXx95a640D ++ 2 Pesxw6ebm0v5OMOoapM3h0t7eXl9L4BSy+Ak4Zbq7u3/3d8/PP3g616opStWIWkckW+r54C0Hv/Cfmr8Vu7trCxZEbeDQnr/4gpc+ekfz51/9L38Q3WcX5x87eumlZ1x5Ze+Pf/KrNxz9ycj984ubNlUfenDg51R+9Y//uBP+azdFNfLAOypGdeXKlddcc42rPQHCFHhdu+CCCz 5+7 Nif1SJHLkWqdcZR9f2bD8Qr83OlEimVUipFPP2ut5//d9/NEYt/9sGb4NEAABmfSURBVMufNS9Aunz58 2+5 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 ++ + K5W3Hb9Ir9+ctm1b9/nPd9JG+qNHoHt6dl122WUrVqzwrQM6isVPQAcplUo3r16d44nIEZFTpM4ZO1385rfFm 9+2 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 9++ 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 ... src="data:image/png;base64,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 7++ 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 /+9 y9ZsiQqlRPK1ncvu3zfDbdoU0CYjrplng8F6HxtqzRPYZXmXK5sbTt9Xx6nOIt33HH55ZcvXry4XC4/vG5dpd3dyoN3HuWL+/4p5cp0fFDVUceZ4949e/r 7+3 2FgFlBmAKdbtR5pTkPjZZOjVSpbGu3U2m0G+zMEVsjNnzo1s2bN7feXtq8+b4/+IPc7hnKzYX5rXeOKOd87T23TfllUmtjYl2bAsIUYAo0Go02VTqlA6XX3nPbtshjF9Hncap013XX5UjnnNMdEatXr162bFlE/OZv/uZll122YcOGL3d1TTB0mkcG652HDpXz1shTvqNAmzZ99NFH6/W6bxTQ4ZxjCnSuaa3SlHMa55JOo04MzRE5pZ6enoMHD6aUtlbylz+0ccuW9w3dob+//4tf/OLKlW+MiMce+/H9999fHqdrx56xOn3LoUYdwF9Zpw90WoZa/ATMCi ++ + OIj1ca/1M9pLrpvblY6NQvwq9VUy3/4yLd/p9EYFYhje+7Z6stfWX3eh/78zy+77LJCodBoNL773e9+orL9//43N1x//Tub92k0Gh/5yEd+7/d+74orrliwYEFEPPHEE5 /+9 GcuO /+8 7qee6tm1qzSmRMdW47fmz/+n8y7NKdVKU7mZVDGi1PLz5mL87mXnX3DBBb5ggDAFmJShy42OWup08lKlUh4zcR+D65PGjmUeveWWa6655nvfy9Xqng 9+8 IPjDTfW6/VqtXrPPffccsstzcn9Idu3b9/xyU+2G5fN5XbbTE3HJUxbnyyl+PjSpaMOEkCYArTRaDT ++ / 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 6+8 QZEW33 /+9 //53 /+5 w984APj3eErX/mbc+763GRWRMW0rdlvbjvw8RucbAqcSqbygc71X/750HCVntCCp9zmp5TzeOucxl4mNEc+essXJ6jJ1v99//73v7+vr 2+8 O+zbt2/Lli0f/vCHJ+jX2 2+/ feV997XdPLVtgd62aNEDb7xxTFuOE7OTblMT+oAwBWijv7//Y3t6h+tyEsOlb/vyh/71kSNDjzg7X9T619XpnJhc+TVHJSPFX99668SnkEZEzvm22277whe+0Paeu3bt+vSnP12JSJHu2FRs26Y5509UKjsilSe3i2rTE/m51l8Pp 5+3 FmolIpe3vYY23ZZi1apV2hQQpgADmvtDvYZJ/HJl6yQnuSezBP6ju/7r7bffPnGlVSqVrTmlqGwula 6++ uq1a9c2TwCoVqvf+c53nn /++ XXr1r1rRy1Sipy3NB7esGFDSqmnpyci9u7d+/DDDy9evHj/vGWfPK0UEdfec9uNhx5II49rgqHT8d7a1te6ir9sQh8QpgAj0upAVHbHiVZp895/lyvHXcJTmeTK95y/vGHBBHtC1ev1az/ykZzK0Vzpn9KBAweaf1q8ePHll 1++ 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 ++ 5 556rTQFhCsxxjUYj7y4MR1DHj5m2TNMfjBxRvrylOyexICnF8a4q2nFhunv3vosvvliYAsIUmOPq9XqO3pgNw6U5529/+zsjpunT6+Lf6OHGmnX797e71CqAMAXmkPt3d8W8HJE6fbg0pa07ci1i4Gqg+ThVmirDbyWXU/MhKeeB/fEjzaKobS6BWrFiha8rIEyBOavRaLwwb1FE6sTh0jwQkENqKaVKjqgM/r08YVzmlmdIEZFyjpzT4I157Lz/mFfsHLVazYamgDAF5rJHDhc6a5w0R8q5JRIjj101P8l8nPA95ZEPL26vlmo7BkZhc0SknDpoSDU3B4jN5gMzzgb7wMz56a5DAwnXGX3aHNSMnAdaLI9/TCdwrMcPzFLeEa09nHPKlc7J9RSRI1WrVd9YQJgCc1O9Xn9i3os5csxM8FQjqtVirka1evxXTMXBVN 0+/ 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 4+6 ZFRq806n1e7d+5xmCswYq/KBmfDCvEUz8jqp5XKnOeWcI+WU0vAkfo7c9hpLOfKobM1RTa3bRZ3AMcRrOVlheL 5+1 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 6+/ qbu7e9QfyxGPP/745x56qJKPk6cp5zs2Fdd//IZl5y+M0xcN3d7f379nz5777rvvb3cvOVXXczrhTwRAmALMsJTzZ8dJ0iFr1qzZtmbNn3z /+/ /uP+a2ZZly/tCGBe/5TPsn6e3t7e3tTSn92/7+v/jP3/4PC1f72AFGceUn4PUtxxeP/tPOT73nqquumqBKh7z1rW/9+kevK 4+5 dlTK+a /+5 LItW9533Cfp7e39f/7d73258HjbC1B11CcDIEyBORyBnSXl/Hebqh/4k5t7e3sn/6i+vr6Pf/yG1qxMOf/1rRvf+ta3TvIZFixYsGXL+/761o3ljq+/FDF//vxCoeDbCwhTQJVOY5VuK6fNmze3ngk6ScuWLfvrWzcObTV6x6bimjVrTvRJ1qxZ85mbbur8odNCYYFvLyBMAaaxSr /+0 evSSSxCWrNmzR2bipGjnPLm13ql0O7u7i1b3vfZm1d3bJv29Ow655xuI6aAMAWYFh945n 8+8 Jmb+vr6TvJ5rr322q9d+9RfvPe9J/k8V1111bf/4r3/15HdUe2Iz6cYMTTA/fLLPaoUEKYA0+U3l3dNZp3TcS1YsODGG2/s6ek5+afq6el551vOjVpHfD6l4S6Nc8751YoVK6bk4wIQpkBHSC4lNDt1dXV1dXX5HICZYR9TgBNQr9e7n3xy4FJOe2vxTDXOK+XlxRTx/NvfMu+CS+bS4GKKWLx4sTAFhCkwp1z96zdW4qlZ/AZePfT0s9Xzv/D1J5/ZPjjNPWK5Uo4UlYiIdP3m529+x5l9l82NUzPtFQUIU2CueVPfovjhbD34p5 9+7 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 8+6 dWvM4wPCFHhdaG5oOjvaNOf+/v7Gui1RLjc3JT3j4PPNBU9Ng2eR5t577y0UCimVZ90/Rxrxc77wwguXLl1quBQQpsDrQnd39w1Ll0ZHTuin80Zf66j3819sNBqrbrqp2anNsG5Tdzt3xquHYhLnz6aOO31zxHDp2rVrVSlwqtijDjg1bVpO+ysduDx9zBUA8s7tsXP70Fmmi1/qirOOtYm7vXvTvzw1qZdYd2nn7A86cpeogWVPwhQ4VYyYAqcmTDcuWBCdN2jaXMDURktD1186rf19vrGjvmrV8V4hR2dd/ap1uHTXunXrzj33XN9PQJgCry+lUqlZpR3Vpq+c+9r3/887t3c/+eTxZurTuO0748YOl65atcpwKSBMgded7u7uWzcuiA5r097e3nT95gniMyK6n3xy7I1NAxcmndDiN7+tY97u6OHSJUuW+GYCwhR4PSqVSp24iP3dm8b/24iETsuXx95a640D ++ 2 Pesxw6ebm0v5OMOoapM3h0t7eXl9L4BSy+Ak4Zbq7u3/3d8/PP3g616opStWIWkckW+r54C0Hv/Cfmr8Vu7trCxZEbeDQnr/4gpc+ekfz51/9L38Q3WcX5x87eumlZ1x5Ze+Pf/KrNxz9ycj984ubNlUfenDg51R+9Y//uBP+azdFNfLAOypGdeXKlddcc42rPQHCFHhdu+CCCz 5+7 Nif1SJHLkWqdcZR9f2bD8Qr83OlEimVUipFPP2ut5//d9/NEYt/9sGb4NEAABmfSURBVMufNS9Aunz58 2+5 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 ++ + K5W3Hb9Ir9+ctm1b9/nPd9JG+qNHoHt6dl122WUrVqzwrQM6isVPQAcplUo3r16d44nIEZFTpM4ZO1385rfFm 9+2 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 9++ 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...
  • 78
  • 741
  • 2
gioi-han-day-so.pdf

gioi-han-day-so.pdf

... TẬP VỀ GIỚI HẠN DÃY SỐ - GIỚI HẠN HÀM SỐ I. Giới hạn dãy số: I.1. Các giới hạn cơ bản: 1. ( )001lim >=∞→ααnn 2. pnn pn∀=∞→,1lim 3. ( )01lim>=∞→αnna 4. ( )( )paannpn∀> =+ →,001lim ... Tính các giới hạn sau: 1. 11lim1−−→nmxxx 2. 131) 1() 1).. .(1 ) .(1 (lim−→−−−−nnxxxxx 3. 121lim22−−−∞→xxxx 4. xxxxx1)31 )(2 1 )(1 (lim0 ++ + 5. 5250)5 1() 1(limxxxxx ++ + 6. 13lim321− ++ →xxxxx ... yxxlnlim0→= )(ln)(lim0xuxvxx→=a thì [ ] )() (lim0xvxxxu→ = ea 3. [ ] )() (lim0xgxxxf→có dạng 1∞. Khi ñó: [ ] )() (lim0xgxxxf→ =( ) )(1 )(1 )(1 )1 )(( 1lim0xgxfxfxxxf−−→ += [ ] )(0 1)(limxgxxxfe−→ Bài...
  • 2
  • 3,633
  • 49
Giới hạn dãy số

Giới hạn dãy số

... TẬP VỀ GIỚI HẠN DÃY SỐ - GIỚI HẠN HÀM SỐ I. Giới hạn dãy số: I.1. Các giới hạn cơ bản: 1. ( )001lim >=∞→ααnn 2. pnn pn∀=∞→,1lim 3. ( )01lim>=∞→αnna 4. ( )( )paannpn∀> =+ →,001lim ... Tính các giới hạn sau: 1. 11lim1−−→nmxxx 2. 131) 1() 1).. .(1 ) .(1 (lim−→−−−−nnxxxxx 3. 121lim22−−−∞→xxxx 4. xxxxx1)31 )(2 1 )(1 (lim0 ++ + 5. 5250)5 1() 1(limxxxxx ++ + 6. 13lim321− ++ →xxxxx ... yxxlnlim0→= )(ln)(lim0xuxvxx→=a thì [ ] )() (lim0xvxxxu→ = ea 3. [ ] )() (lim0xgxxxf→có dạng 1∞. Khi ñó: [ ] )() (lim0xgxxxf→ =( ) )(1 )(1 )(1 )1 )(( 1lim0xgxfxfxxxf−−→ += [ ] )(0 1)(limxgxxxfe−→ Bài...
  • 2
  • 1,469
  • 22
bài 3 . Giới hạn dãy số

bài 3 . Giới hạn dãy số

... kỳ, kể từ một số hạng nào đó trở đi.Ký hiệu: hay khi - Dãy số (un) có giới hạn khi nếuKý hiệu: hay khi + n + limnu = + nu + n + n + lim( )nu = + limnu = nu n + 2. Mét vµi ... số dương bất kỳ, kể từ số hạng nào đó trở đi.9 10384.10 384.1010nnu n= > > IV/ Giới hạn ở vô cực 1. Định nghĩa- Ta nói dãy số (un) có giới hạn khi nếu un lớn hơn một số ... Phương pháp giải toán + Để tìm giới hạn dãy số ta thường đưa về các giới hạn đặc biệt và áp dụng các định lý về giới hạn vô cực. Để áp dụng các định lý nói trên, thông...
  • 27
  • 2,816
  • 3

Xem thêm

Từ khóa: giới hạn dãy số và hàm số nguyễn văn mậugiới hạn dãy số và hàm sốphương pháp tính giới hạn dãy số và giới hạn hàm sốdap an 143 bai tap gioi han day so ham sogiới hạn dãy sốgiới hạn dãy sốlý thuyết giới hạn dãy sốtoán cao cấp giới hạn dãy sốbài tập giới hạn dãy số nâng caobài tập giới hạn dãy số violetbài tập về giới hạn dãy sốbài tập giới hạn dãy số 11bài tập giới hạn dãy số toán cao cấpbài tập giới hạn dãy số lớp 11 nâng caobài tập giới hạn dãy số có lời giảiNghiên cứu tổ chức pha chế, đánh giá chất lượng thuốc tiêm truyền trong điều kiện dã ngoạiNghiên cứu tổ hợp chất chỉ điểm sinh học vWF, VCAM 1, MCP 1, d dimer trong chẩn đoán và tiên lượng nhồi máu não cấpMột số giải pháp nâng cao chất lượng streaming thích ứng video trên nền giao thức HTTPGiáo án Sinh học 11 bài 13: Thực hành phát hiện diệp lục và carôtenôitGiáo án Sinh học 11 bài 13: Thực hành phát hiện diệp lục và carôtenôitĐỒ ÁN NGHIÊN CỨU CÔNG NGHỆ KẾT NỐI VÔ TUYẾN CỰ LY XA, CÔNG SUẤT THẤP LPWANPhối hợp giữa phòng văn hóa và thông tin với phòng giáo dục và đào tạo trong việc tuyên truyền, giáo dục, vận động xây dựng nông thôn mới huyện thanh thủy, tỉnh phú thọPhát triển mạng lưới kinh doanh nước sạch tại công ty TNHH một thành viên kinh doanh nước sạch quảng ninhNghiên cứu về mô hình thống kê học sâu và ứng dụng trong nhận dạng chữ viết tay hạn chếNghiên cứu tổng hợp các oxit hỗn hợp kích thƣớc nanomet ce 0 75 zr0 25o2 , ce 0 5 zr0 5o2 và khảo sát hoạt tính quang xúc tác của chúngĐịnh tội danh từ thực tiễn huyện Cần Giuộc, tỉnh Long An (Luận văn thạc sĩ)Sở hữu ruộng đất và kinh tế nông nghiệp châu ôn (lạng sơn) nửa đầu thế kỷ XIXQuản lý nợ xấu tại Agribank chi nhánh huyện Phù Yên, tỉnh Sơn La (Luận văn thạc sĩ)BT Tieng anh 6 UNIT 2Giáo án Sinh học 11 bài 15: Tiêu hóa ở động vậtNguyên tắc phân hóa trách nhiệm hình sự đối với người dưới 18 tuổi phạm tội trong pháp luật hình sự Việt Nam (Luận văn thạc sĩ)Giáo án Sinh học 11 bài 14: Thực hành phát hiện hô hấp ở thực vậtTrách nhiệm của người sử dụng lao động đối với lao động nữ theo pháp luật lao động Việt Nam từ thực tiễn các khu công nghiệp tại thành phố Hồ Chí Minh (Luận văn thạc sĩ)Đổi mới quản lý tài chính trong hoạt động khoa học xã hội trường hợp viện hàn lâm khoa học xã hội việt namHIỆU QUẢ CỦA MÔ HÌNH XỬ LÝ BÙN HOẠT TÍNH BẰNG KIỀM