SKKN ứng dụng đạo hàm trong các bài toán đại số lớp 12

... Ninh19 SKKN: ỨNG DỤNG ĐẠO HÀM TRONG CÁC BÀI TOÁN ĐẠI SỐ LỚP 12 TÀI LIỆU THAM KHẢOSách giáo khoa đại số và giải tích 11.Sách giáo viên đại số và giải tích 11.Sách hướng dẫn giảng dạy đại số và ... Cái - Quảng Ninh10 SKKN: ỨNG DỤNG ĐẠO HÀM TRONG CÁC BÀI TOÁN ĐẠI SỐ LỚP 12 khả năng và ham thích Toán học, các môn khoa học tự nhiên; số khác lại thích thú văn chương và các môn khoa học xã ... =316 Bài 3: Cho xzzyyxxyyzxCMRzyx ++≥++≥≥≥2:.0 Bài giải: Ngô Thị Vân Anh – Trường THPT Trần Phú - Móng Cái - Quảng Ninh 12 SKKN: ỨNG DỤNG ĐẠO HÀM TRONG CÁC BÀI TOÁN ĐẠI SỐ LỚP 12 KẾT...

... f z g yy yf x g zzxz z Trong đó 32( ) log (6 ) ; ( )2 6tf t t g tt t= − =− + với ( ;6)t ∈ −∞Chun đề I: Ứng Dụng Đạo Hàm Trong Các Bài Tốn Đại Số I .Các vài tốn liên quan đến nghiệm ... Xét hàm số ( ) với t 0;42cos -.cos sinta có '( ) = 0 với t 0; ( ) ngb trên 0;4 4txx ta f ttxxt t tgtt t tf t f ttIII. Các bài toán cực tri- chứng minh BĐT: Bài 1: Cho 4 số ... bằng phương pháp hàm số: Định lí 1:Nếu hàm số y=f(x) ln đb (hoặc ln ngb) thì số nghiệm của pt : f(x)=kKhơng nhiều hơn một và f(x)=f(y) khi và chỉ khi x=yĐịnh lí 2: Nếu hàm số y=f(x) ln đb...

... nghiệm . Xét hàm số f(y) với Ứng dụng đạo hàm trong các bài toán tham số CHỨA THAM SỐ Khi giải các bài toán về phương trình, bất phương trình, hệ phương trình ta thường hay gặp các bài toán liên ... để giải bài toán này ta tiến hành theo các bước sau:1) Lập bảng biến thiên của hàm số .2) Dựa vào bảng biến thiên ta xác định m để đường thẳng cắtđồ thị hàm số .Chú ý : Nếu hàm số liên tục ... giải các dạng toán đó. Bài toán 1: Tìm điều kiện của tham số để phương trìnhf(x)=g(m) có nghiệm trên DPhương pháp: Dựa vào tính chất phương trình có nghiệm hai đồ thị của hai hàm số và...

... sử dụng tính đơn điệu của hàm số Giải phơngtrìnhSử dụng các tính chất đơn điệu hàm số để giải phơng trình là dạng toán kháquen thuộc. Ta có các hớng áp dụng sau : Hớng 1 : Thực hiện theo các ... thị hàm số không cắt trục hoành phơng trình vô nghiệm. Vấn đề 5: sử dụng tính đơn điệu của hàm số Giải bất ph-ơng trìnhSử dụng các tính chất của hàm số để giải bất phơng trình là dạng toán ... SVấn đề 1: Chứng minh đẳng thứcVấn đề 2: Chứng minh bất đẳng thứcVấn đề 3: Sử dụng tính đơn điệu của hàm số giải phơng trìnhVấn đề 4: Sử dụng giá trị lớn nhất và nhỏ nhất của hàm số giải phơng...

... được: (a) . Ứng dụng đạo hàm trong các bài toán chứa tham số Khi giải các bài toán về phương trình, bất phương trình, hệ phương trình ta thường hay gặp các bài toán liên quan đến tham số. Có lẽ ... đó để giải bài toán này ta tiến hành theo các bước sau:1) Lập bảng biến thiên của hàm số .2) Dựa vào bảng biến thiên ta xác định m để đường thẳng cắt đồ thị hàm số .Chú ý : Nếu hàm số liên tục ... giải các dạng toán đó. Bài toán 1: Tìm điều kiện của tham số để phương trình f(x)=g(m) có nghiệm trên DPhương pháp: Dựa vào tính chất phương trình có nghiệm hai đồ thị của hai hàm số và...

... phương trình : ỨNG DỤNG ĐẠO HÀM VÀO CÁC BÀI TOÁN CHỨA THAM SỐKhi giải các bài toán về phương trình, bất phương trình, hệ phương trình ta thường hay gặp các bài toán liên quan đến tham số. Có lẽ ... đó để giải bài toán này ta tiến hành theo các bước sau:1) Lập bảng biến thiên của hàm số .2) Dựa vào bảng biến thiên ta xác định m để đường thẳng cắt đồ thị hàm số .Chú ý : Nếu hàm số liên tục ... Xét hàm số với đồng biến trên các khoảng và Suy ra hệ có nghiệm .Chú ý : Khi bài toán yêu cầu xác định số nghiệm của phương trình thì ta phải lưu ý Số nghiệm của phương trình chính là số giao...

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...

... nghiệm có nghiệm .Xét hàm số f(t) với , có: ..Vậy phương trình có nghiệm . www.violet.vn/toan_cap3 Ứng dụng đạo hàm trong các bài toán tham số CHỨA THAM SỐ Khi giải các bài toán về phương trình, ... hai hàm số và cắt nhau. Do đó để giải bài toán này ta tiến hành theo các bước sau:1) Lập bảng biến thiên của hàm số .2) Dựa vào bảng biến thiên ta xác định m để đường thẳng cắt đồ thị hàm số ... trình ta thường hay gặp các bài toán liên quan đến tham số. Có lẽ đây là dạng toán mà nhiều học sinh lúng túng nhất. Trong chương này chúng ta sẽ đi nghiên cứu một số dạng toán mà chúng ta thương...

... Ứng dụng ñạo hàm ñể tính tổng và tìm hệ số của ña thức 6 2.2. Ứng dụng ñạo hàm ñể tính giới hạn 8 2.3. Ứng dụng ñạo hàm ñể viết phương trình tiếp tuyến của ñồ thị hàm số 10 2.4. Ứng dụng ... thị hàm số 10 2.4. Ứng dụng ñạo hàm ñể xét tính ñơn ñiệu của hàm số 12 2.5. Ứng dụng ñạo hàm ñể tìm cực trị của hàm số 14 2.6. Ứng dụng ñạo hàm ñể chứng minh bất ñẳng thức và tìm giá ...  Nếu hàm số y = f(x) có ñạo hàm tại mọi ñiểm thuộc khoảng K thì ta nói f(x) có ñạo hàm trên K và hàm số f '(x), x K,∈ ñược gọi là (hàm) ñạo hàm của f(x) trên K. ðạo hàm của hàm số (nếu...

... bài luyện tập của chương “ Ứng dụng đạo hàm trong chương trình toán lớ 12 tại các lớp 12A1, 12A2. Sau đó kiểm tra dưới dạng tự luận ở lớp thực nghiệm và lớp đối chứng để đánh giá kết quả. - ... học sinh một cách tốt nhất thông qua giảng dạy chương ứng dụng đạo hàm trong chương trình toán THPT. 7. Giả thuyết khoa học Dạy học phần ứng dụng của đạo hàm trong chương trình Toán THPT nếu ... việc dạy “ Ứng dụng đạo hàm trong chương trình toán 12 ở trường THPT. 2.2.2. Mẫu điều tra - Học sinh lớp 12A1, 12A2, 12A3, 12A4 trường THPT B Nghĩa Hưng, Nam Định. - Giáo viên tổ Toán – Tin...