ÚNG DỤNG ĐẠO HÀM VÀO CÁC BÀI TOÁN CHỨA THAM SỐ pdf

... 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 đây là dạng toán ... 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 ... pháp giải các dạng toán đó. Bài toán: 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 cắt...

... 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 đây ... 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 .Chú ... 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 hay gặp (như xác định tham số để phương trình có...

... 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 quan đến tham số. Có ... 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 cắtđồ thị hàm số ... 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 hay gặp (như xác định tham số để phương trình có...

... 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 ... 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 trình Vấn đề 5: Sử dụng tính đơn điệu của hàm số giải bất phơng ... 2.(1)Xét hàm số f(x) = 1x, là hàm đồng biến trên D = [1, + ).Xét hàm số g(x) = x3 + x2 2x + 2. Miền xác định D = [1, + ). Đạo hàm : g(x) = 3x2 + 2x 2 < 0, xD hàm số nghịch...

... Nam Định 2004)Chun đề I: Ứng Dụng Đạo Hàm Trong Các Bài Tốn Đại Số I .Các vài tốn liên quan đến nghiệm của pt-bpt:Định lí 1: Số nghiệm của pt f(x)=g(x) chính là số giao điểm của hai đồ thị y=f(x) ... 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 (hoặc ln ngb) và hàm số y=g(x) ... có úng 1 nghiệm (0; ) 2 12 2txLim f t f t xxx a a Bài 3: Cho phương trình + − − − + + =6 5 4 3 23 6 ax 6 3 1 0x x x x x. Tìm tất cả các giá trị của tham số a, để phương trình có đúng...

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srKuvnmm3v06CFZiJDDwCOADvHruabJxFh5efmhQ4dM0ywsLExKSurTp09aWlorw1aWZe3fv/9vf/uby+Xq16/fVVddpes6q0Ko0gDgUpZogUCgpqbm2Wefra+vd7lcmqa9995777zzzt69e1tZXNDQ0LBu3boNGzYEAoFJkybl5ORQohFpAHApyQKNPXv2vPHGG4ZhDBkyZNq0aYZhvPbaaytXrjQMQ9d1J9ikGbFUdbt27VqyZMnRo0dTUlImTZrkdruDD7l2PnDwqIk0ALjgdF0vLy83TfOHH36QjdJut7uoqOjYsWONjY3BaWRZlqZptm3v2LHjT3/60+eff25Z1meffZaXlxceHh4eHh4WFqadpKrq1Vdf/ac//am8vJxII9IA4IKTVYsjR4789NNPH3nkkUAgoKqq1+vt1avXgAEDYmJilKBFIlKf2bb9/vvvf/rpp7ZtDx06tHfv3n6//8knn3S5XB999JFhGHLPxsbG+fPnf/311zk5OUVFRTxqIg0ALixVVXVdj4+PnzhxYmRkpMfj+frrr/fv3/+rX/3qtttuc7agOVut3W633+9/9913LctKTk6+/fbb5Q4yJxdconk8nuHDh0+fPt00zeeff55H3Z6x4hFAB4k05eTs18qVK7/66qt9+/ZdddVVY8eO9Xg8MtJommZlZaWu65Zl+f3+GTNmFBcXq6o6ceLE6dOny941uY/scnPaPNq2nZGRYRjGm2++uXDhQp42VRoAXMj3Mk2TvWgVFRWjR49+/vnnFy1aFB8fP2zYsNmzZxcVFdXX1y9atGjixImKosih1StWrEhISHjiiSfmzJmTkpKi67rEnvytcnLLWnV19fbt2xcsWHDLLbesXbuWR02VBuCC6+St/6Rn0vbt21944YUxY8b8/d//vWVZMTExXq/3o48+mjhxom3br732Wn5+vsyiKSfXMWZnZ2dmZiqKIp/Xdd00zdWrV9fV1UmqNTQ0fPHFF7W1tS+++GLfvn2Dv6PzAT0e28kNiTSgg+jkrf/kg1WrVi1duvSTTz559NFHDcNoamrSdX3gwIG5ubnLli3bvHmz7DlzRim9Xm95eblzB3nfdLlc48ePnzRpkuScoihTpkx57rnnhg4d+tVXXw0ZMkShx2N7vSGRBqAjkCZYjz76aGRkZF5e3nPPPdfQ0OD1eu+5555JkyZ169YtIiIiOjra7/dblqXruuxUS05Ozs7OlmFGJ5wCgYDTEFL+KjY29je/+c2CBQuGDRu2cePGK6+80vkStCtEGoCOwLZtj8fjdrtnzJixf/9+y7Kio6NvuOGGHj16pKSkHD16dMOGDZJnLpfLMAxpBTl69OiBAwe2pfD1eDySgiUlJbKnjT1qRBoAXMBUsywrLi5u8ODBw4YNk/WKhmFUVla+/fbbq1evrqysjIyM9Pv9sugxIyPj3nvv7du3b+t5JulVU1MjNVzXrl1lW5sEG4+9XWHFI4COQFJK0zRZuCh7ywKBwLZt21599dV33nmnqqqqR48eM2fOlCFK0zSfe+654cOHh4eHtx6TiqJ4vd7ly5crijJx4sScnByZ2qG1MVUaAFyw39A1TQ6XkQ8Mw3jvvfeWL1++fv366urqa665ZsaMGRMnTly4cKEUcPfee6+UcU7/xhdffHHdunUul+v999///vvvndHFmpqa/fv3P/TQQ/fee296erryc5bqgUgDgJ9HRh1lMNA0zffff//JJ58sKyuTeHvssceef/75sLCwU36hHGxtGMbTTz8tDbFs25bWxkJWlNChn0gDgItXohmG8cEHH8yZM6egoMDlcimKEh0d/fDDDz/22GMREREyVKhpmiwPcb7QsqympiYZtGx5+LWqqlL8KSdb+INIA4ALqLa2dsOGDa+//vrHH38sO8wMw7j55pv/5V/+ZdiwYU5bEJlFa/nlUqhJcSa55eyFcno/Mn9GpAHA2XCqJWdbtOSNrKSXfKqsrNy8efPOnTvXrFmTn58vm6YjIiKGDx8+cuTIoUOHjho1Smo1aQvi3C04maQ4k49b7t3+/2+ULt4qiTQAOFtSKpmmKUs5nNksmfQ6cODA/v37161bt2nTpu3btzc0NGialpCQcNlll02ZMmXIkCHXXnuty+VqOYoIIg0ALkGVJmsXJdhUVa2pqSkpKfnmm2+Ki4t37tx5+PDhHTt2BAIB27a7d+9++eWXX3vttf379x83bpzMfjkTYCDSAISY9tnNtll3vuArW/6VMwd2/Pjx48ePe73e48ePV1ZWFhYWlpaW+ny+8vLygwcPVlRUdOnSJTk5efLkydnZ2Xl5eT179uzevXtaWpqsaZRhSac3cbP7B3/sfOZcHg5ti9vPDYk0oINoP91snVPH5L1eZr9kaYZ83vlABhKlGWNZWdmxY8cKCgqKiooKCgoKCgqOHj1aWloqqSP9rtLS0oYMGdK7d++MjIxu3bpdf/31kZGRLX+klusSg9d6tPwzuFHI2XVMpm1xO7khkQbgguSraZpyKrRysrWH/KLd1NRUUVFx9OjR+vr64uJin89XWlrq9XorKiokzJzW+PJGFh8f369fv+zs7Nzc3Ozs7CuuuKJbt27R0dEKS+pBlQbgQpOkkerK6/WWlJRUV1dXVVWVl5cXFRXV1tZ6vd5jx45JpJ04ccLr9coXSoP8iIiI1NTU7OxsGVSMiYnp379/Xl5eWlpaZGSkYRg/6xd8EGkAQo8zMyTDesGDac7ad+X0cxJymSwRDJ5hkg+cgUTnGudjTdMKCwsNw/B6vTU1NVVVVVVVVaZpHjt2zDAMn88npVhjY2NJSUlxcbEc3SI/rSxiDAsLi4uLS01NTU5OzsrK6t69e0ZGhpzM2aNHD6fak58k+OxpZwATINKADsWZc1J+Oq/m5IfT5MnJJ2dmy8knZ4pLOkupqlpZWblz505VVU+cOHH48OGqqqrGxsYtW7YYhqFp2jfffCMLC2WdfbMsbPlJt9utKEqvXr369OkzYMCAwYMHx8TEjBgxQjnZdEqiN7gfVfBhZs6fwZvMACIN6GikYHKyzflPaYchnemd9X7Hjh07cuSItNJoaGjYvHmzXF9UVLRv3z658ptvvpHckqQMrpOkAYfzV7IDTKo3Z9rM5XK5XK5evXplZGTk5eV169bt8ssv79u3b2ZmZrP+UvKtnUx1spCpMhBpQCf19ddfFxYWHj58OBAISG5VVlbu27cvEAiYpul2u/fu3VtUVORc73R4Cq6lnFJPPi/FkMvlkgyTzzvjjc6fvXv3Tk5O7tWrV2pqakxMTF5eXkZGxoABA2Sho5OjEoHO93L6TjULYKdRCK8piDSgk7r++uvlA6eKclJKPnbmyRRFiYiIiIuLk11cmqalpqbquu52u91ud3x8fHh4uG3bOTk5kmrp6elSckVFRUVFRamqmpmZKZ/JzMyUAUPl5ACm/AxOXDk/nhNRzsih/K0zT9ZsHTwLQECkAZ1Xbm5uly5dunbt6tRPuq6npaU5I4EJCQmxsbFycUREREJCgjTq1XU9MzNT8iMqKiomJiYsLEzTtPT0dJn6ap2TVS3rqmYNFZvVXs32dbX8QoBIAzqpZ555RoJK0zS3221ZltvtTktLc2qgmJiY+Pj44ChyhvikYJJVIc7nmy304AmDSANwkcycOVNRFMuynHa9TjgpJ1dttOxNFbxmJHixhqySJ9JApAG4BJzlFUrQwnfl5BGXrbfIc9ZryEoN5aejiB0mzwzDcI6JCW72yP88RBqA9uuU3YFP14RQ+WlLX2dHmvLTzrxt/HZt/8Eu5g3lSqlfnfUpMtB67t+atsXt54ZEGtBB0M229Ss1TWtqapIFL87IqtRttC3uMG2L2fkBoFOQOcKCggJpqazr+ocffqjrOgOPHeoXu7bXfQA6QJXWaQU31nJaRLrd7qamprN+4G63W7YAnnG2MtQ16+3SrDYKvkb5aY/QZiPYwXeQDSTBw7/BWyed1m7OLK+zt1LI+ebOYHJTU5Oqqgw8Ah2EvLfidOSd8dNPP50yZYq8RQ4bNmzt2rWyOe/sbmia5osvvnjzzTcPGjSow/9KEbwd3mm6ppzcNe+0gAlOLKc3TXCzGCfbnIPLg69xPtA07dixY3v37g0LCwsEAnV1dd9//31wpJWUlOzbt08SURrcuJzFPwA6SZXWaefSpAi47rrrPB6PvPm+9dZbEktnsV1BbiglQsvWJyH3cFq/0qm6gk92dT5vmmazttfN/tPZKFJZWbl3716/368oyuHDhw8dOqTrellZ2YEDB2SaU1XVQ4cOHTlyxPlymfWUpT3NfmmTv5U2pIqiyF5MIg3oXJF2Ia5s/zd03mfj4uICgYC8RXbr1k3eLoNv8rNu6KwRbaUjZUg8nNavlNi2bbuwsNA0zcrKypqamrq6Op/PZ1mWz+c7ceKEZVlyBHlNTY3X621qavL5fFVVVYZh1NTU1NTUBGdn8DCmvC7NmovKd4yKikpKSpLxScuysrKygp9zZGRkQkKCjP26XK76+vrw8HAiDUCnEDzwJdNp59js35kHCh5ta1eatYBxcr1li+pml8mRrRUVFT6fr7a2VjLM5/MVFBRYluX1equrq+vq6rxer2VZtbW1FRUVwfcMvlXwE3a73RkZGfL8Y2JiEhMTFUUJDw+XZJJmoRkZGfITmqYp1zg51yzSunTpkpSU5LysYWFhzKUBQKeo3Z2wCe6CJoOuXq9XjmktKCgwDOPIkSM+n6+ystLn89XV1TU0NJSWllZXV/t8vuA1GsELPaSKyszM1HVdWomappmWlhYREWFZlnxGgkr6XCuKEhsbGxcXp6pqZGRkfHy8bK6QrqQSb87Gf6eHQCAQCJ4sc34vcc62JdIAoCPnmTOJGLz3rrKy8vDhw+Xl5dXV1aWlpYWFhcXFxZWVlUeOHDEM4/Dhwx6Px+/3O53VnBmy3NxcRVEkhJKSkuLi4hRFiY+Pj46Otm1bTmyQALMsKzk5OSoqyjTNhISEhIQEGUt0TmBoWdQ6p7E7eRZ8il7wlKfzDwm+QGKVSAOAjkmqHF3X6+rqjhw5UlRUVFxcXFJSUlpaKh9UVlZKBaYEHWgXFhbmcrmSkpISExPlBKK0tLTExMTY2NicnBxFUaKjo2NjYxMTE6ULdnR0dHx8vLOC0ckqSaZmqx+bLTMJrvacskxir9nFLUd3nbh1llwqdA8B0DEYhhH81ubUBMElSwdYZy9v685eLmdRu3RCcf6NlmXV1NT89a9//eabb9atW+cc/Rq8QEM+Y5pmbm5u3759c3Nzr7766pycnNzc3Ozs7GYlkdKGhZHOPZ2ICn74p6sjlZ+Ojp7y+lOuKT3l/Yk0oOP8Sn6prmwPN6ytrd20aVNBQcEXX3zR1NQUGRmZnJw8Y8aMAQMGyKr94OudIiB4OcNZf+uL2ePRGZcLfme3bbu+vv7w4cNSe33xxRc7duzYs2ePYRjyb/R4PLGxsSkpKUlJSfHx8ZmZmZdddll2dnbXrl3T09MzMzNPecR5KP6fQ6QBHUQn35e2Y8eOefPmpaWlvfnmm6Zpbtiw4aabbqqqqpo9e/Zll13mbPUNLgucP0Oux6MUarZt19TUHDx4MD8//9ChQxs3bty7d29RUZGzW27AgAG5ubmpqalpaWlZWVm5ubm5ublpaWlyannwSKAzxCfZL0cUheL/OUQagI6gtLT0yJEj0uPK4/GMGTPmD3/4w/PPP5+Tk/P73//+XBbrtxNO8SSbi4uLix988MHNmzfX1tYqimKaptvtDgQCuq7PmDFj1KhR48ePT09PDz7iVWlxpI6zbMSpWUN9bJZIA9ARjB8/vkePHtLdSmbRNm3a1KdPn27duilBK9dD9F8n6w9lIPHjjz9+5ZVXNm/eLEWVrKeIjIycOnXqpEmTbrnlFlk6H9yG6nRzVM3Wbig/naAi0gDg0oiOjh4wYICEmWEYhw4dWrVq1d133z106NBQjzQJLdM0a2tr58yZ8+qrrzrNfD0ez6BBg+64446pU6dmZWUFdxYOLs46DyINQEcgw3FO13nTpqsAABe5SURBVMG3335b1/WHH344JyfHCYDQ/dfV19cvWLDgpZdeqq6ulp1Ybrf7t7/97R133NGnTx8Zb2zWWUr56eHmRBoAhM57mcslu3GPHDkye/bsnJycXbt2JSQkVFdXx8bGhsoskaxmNE1Tyqzjx49v37598eLF69at2717t9vtzsvLe+SRRwYPHtyvX7/ExETp5OvxeILb2CuhP35IpAHo1OTN3efzrVq1Ki8v77e//W1CQsK3337r8XiuvPLK061Kb1cklhoaGtxut67ru3fvXrJkyeLFi/fs2VNXVxcfHz927NhbbrnlzjvvdHYxO+sSW86Edc6zMIk0AB2BYRimaa5YsaKqquruu+8uKSk5fvz4/v37s7OzlZ+zXvwSUlXV7/e73W5N03bt2vXCCy+sW7euvLxc1/XevXs/+uijI0aM6N+/v9/vDw8PDz45DEQagA4lEAh8+umnL7/8cm5u7s6dO2UILj09feDAgaGyMN1ZYf/555+/8cYby5cvr6+vz8zMvO6662688caZM2c6/Xlb39xNpAFAaJs3b97zzz/v8Xjy8/OdsyLvvvvu6OhoJWgrcftMMmdctLGxcfr06Z999pmiKJGRkbNmzXr88cfz8vKco59VVZWm9Z12toxIA9Dx/e53v5szZ47T9FYO+WxoaJClE0r7Hns0TdM0zYaGhvnz569du1bW38+fP3/69OmRkZHBm8bk38XLTaQB6NDvZS6XcyiJZIDf7/d4PM4K/nabZ/IDV1dXz50797//+7+lG/0LL7xw1113yfbqsLAwXl8iDehcOnnb4uBGGEpQ+yink2Fwa6h21bbYtu3a2tonn3zy7bfftixr9OjRzz777ODBg+UL3W6303efF5pIAzqLTt62uNlwXLOpJufKdtK2WJoOy04ywzD69etXXl7u8XjuueeeV155RXqFnHKA8bw/7ZB7oVu/jEgDgEvz+4dt242NjYsWLSopKVFV9a677po9e7Z02ecRnR3WzADAxeaswPzyyy/feOMNVVWHDRs2a9as7OxsyTMWNJ4dqjQAuOjFhKYZhvHhhx/Onz//+++/79mz55///OdevXoFAgFpiNUJ2zMSaQAQkizL2rx58yeffJKfnx8eHv7000/36NHD2XNGnp397wo8AgC4yEzT/Pzzz9evX2/b9hVXXDFt2jRZu8+TIdIAIPQibfHixWVlZampqbfffruqqrquh/qJ0kQaAHRGL7300o4dO6Kjox955JFZs2Y5za54MkQaAIRGZWYYhmEYpaWlc+fOtW17/PjxU6dOdbvdLpdLqjTZryZ/BgIBwzD8fn/nXNNvWZY8sRUrVrhcLpfL5Xa7d+/ebVnWjBkz5LyCX/3qV7Zt+/1+Ig0ALioZXVQU5d///d8DgUBGRsaNN97Yo0cP5wJnZb9k2x//+McHHnigoKCg064WkYaWY8aM2bNnj6Io999/f1ZWlmEYo0aNeuWVV7xe77x58wzD8Hg8RBoAXOw36EAgUF5evnDhQrfbPWbMmMGDBze7QHouy5HW+/fv37p166ZNmwzD6JxPTPqnhIWFyZmub7755l//+tfq6uq9e/fecccdXbp00XXd7XYHAoH/+xL+PwOAi+a+++6T8wGmTZs2aNCg4Ldjp+GkaZrl5eXr1q07fvz48uXLBw0adPnll3eqpyQzi8GNOp988sm+ffvec889//AP/3Dw4MGYmBi5QPnpngeqNKDjFAFtcd6vbP83dK483Z/ncsPWv6TZ3x44cGDDhg2KoiQnJ48YMSL4KBy5lWEYgUBAVdWlS5eOGzcuMzNz7dq1q1evrq+vl7mlTvJCB6+UkSvDwsKioqKmTJmi6/rf/va3+vp6p+u0YRjODanSgA6CbrZtufISti1WVXXNmjWNjY2qqj7xxBPR0dFShTj9HuVwHFVVS0tL//Ef/3Hnzp1hYWH/+7//u2XLlptuuql79+5ut7vztC2WCsy5YMWKFYcPH160aNF33303YsSIwsLCp556KiwszOVyyS8BckOqNAC4GDZv3rx69WrTNIcOHfrQQw9pJzkXyACabdu//vWvv/rqq5ycnJEjR3br1m3NmjWLFy+Weq5TPTHLsmzb3rdv39NPP/3UU09NnTrVsqyrrrqqd+/e77777gMPPPDWW29JCzHnS6jSAOACktPObNv+4YcfduzYoSjKXXfdFR4eLvkU/HZsGIau68eOHSsrK+vfv7/b7R45cuT69evfeeed7du3y6hjhz/S2jAMOc1VFojKBxEREbIeRJ7kL37xC+foO13XiTQAuBicsbWKior8/PzS0tLExMRJkyadstG+qqpNTU3Lli2zLGvevHlSo+zdu9fv92/btk3WPXbgJiMyWajrut/vd7vd8s/Udb13795z5sxx/tWapv3xj3883U0YeASAC8WZ48nPz9+9e7dhGNddd11WVtbp3tMNw/j222/HjBkj82oul+vqq6++8sorDx48uGPHjo5dojmF1+kmJtuCKg0ALqxAILB79+49e/ZYlnXnnXfKQseWl+m67vV6s7Kynn76admaZpqmz+dzuVzbtm175ZVX3nzzzQ6canLMt4y+SqKfTS7yfxuAzuncV1vIuGKzhlVOT30ZOTQMo6Cg4LvvvistLU1PT58yZUqzjvvOMvRAIPDaa689/vjjUrLINFJ8fPzMmTNvvfXW999/f8eOHYZhyLfrkG37p0yZcuDAAad/ivw2IC9TG/+9RBqATupcBrjkTVZmtpw9vy2TUuaH8vPzDxw4INNCSovtFlKXLFiwIDIyct68eVlZWS+88IJlWZZlnThx4oknnhg4cOCyZct0XR8yZMiYMWN0XZcmkB3s5TBNc9CgQcOGDbv99tuXLVtWV1cnSS/PsNlDPu1r2tlWhQKUJp1zX5rzgYzdqaoq67+Db/KzbigXP/PMM7feeuugQYOcgbLg76UoyosvvviXv/zlwIEDiqI88MADr7/+eiAQkKM+g2NPObl4LxAIWJYlFzgrJpwmGqZpys8v3bM60gstATZ8+PD8/HxN0/r16zdt2rTZs2c3NTW53W6pWVsfd2VfGoBOyjrpXIq8goKCnTt3Hjp0KHjsUeoJ27arqqqefvrpuXPnHjx4UNZ6rF+/fuPGjS1niWQPtfTgd/7TyS15Hw9OX9mR3cFeEZfLparqSy+9NGnSJEVRtm3b9oc//CE+Pv6+++575ZVXpH/KmW/C/9lAx9DKymYIGbJzgue55547l/3LmqYdPXp0w4YNdXV127Ztc/rBO2scqqqqli1b1tDQIAs9LMs6dOjQ3Llzr7rqqmbhKiEn02kul0uSzPm8FGrOz+m0guyQq/lN06ysrJT8Nk2zurp68eLFX3755eHDhxMTE1VVHT169LXXXnu6co2BR6CD4ADJMz4fJzmUkyOHkhxn9zYoN9R1XVoPOzeRezrl2v/1atI0588Oubjj3H/hcCpR5/AB53QCp07t16/fli1bnFeTKg0g0joj+a3f4/FIJWSaZlhYWGNj41k/OlkYIt0uggceZS2DU0s5h8U4b8oej6epqYlXpOXzNAzDmTCT+Nd13TCMsLAwWeqpqurIkSPlkbZ81WzbpkoDOs5bNg/hjBobG+Pj4+Wt89ixYwkJCWfdj8OyrFWrVv3Hf/zHxIkT/+7v/i41NfUn762qWlRU9Jvf/Objjz+WmsPlcoWFhS1atOiGG24IXh6C4P+Bd+/e/fLLL3/00Uc+n0/O+87Ozp46deq0adP69+8vvz3IapGWVZpt21RpQOeq0jr5isewsDC/3y8fJycnB7fk/7k31HV9/PjxmzdvHj16dGpqavAXyseZmZkPP/zw4sWLZW1Ienr6jTfeOG7cuNNWGJf6mIJLfkPbtpcsWbJmzZqGhgaXy9WjR4+bb775mmuuGTFiRFJSkpS5Tr17ynsSaQBwoQwZMkQWd4wdO/bWW28dMWKEYRjOQhI0q3oLCgree+89v98/ZMiQYcOG9e3bd9q0aeHh4c4o7hkRaQBwoRw7dszlciUkJIwbN+6+++6TmSFnbxma+c///M8BAwb0799/0KBB11xzTVxcnHJyIU8rlRmRBgAXw/fffx8IBHJycvr06SN55jTnRTOqqs6fP18WoErqO5vw5LkZhnHGOUgiDUCokiXy0nVC2oLIDjCnrYa8CbZ9Eui8cDaNWZZ1+PBhVVUzMzNlss15RzYMY+nSpUeOHDlw4EBRUdGMGTMmTpwYHR3dmZetShEmr12zKlaW8FClAejgb4J+v985DFp+wQ/elezxeCT2LnKqKSe7k/z444+2baenp3ft2jX4bzdu3Lh9+/Zf//rXMTExGzduHDFixMKFCx944AF2YpwjIg1AaFdpxcXF77zzTmZmZnx8fEREhG3blZWV5eXlZWVljz/+eGJiogxbnfV5JT+X1GeWZZWUlJSUlCQkJOTl5SUnJwdfs3DhwmPHjk2cOHHw4MFZWVm6ri9ZsuQXv/iFzB6BSAPQ6aiqWlJSMnfu3Nra2rFjx/bt2zciIkLTNK/X+8UXXzz22GPdunWbPHlyYmKi08Xj4gStoii6rpeVlVVVVaWkpHTt2rVZmt50001lZWXJycm2bdfW1qqqmpGRwWY1Ig1A59XQ0PBv//Zvr7/++nvvvXf11VcrJzeExcfHT5gw4c4773z11VejoqKmTJkig5M/K9XkABeJIpmTk7YjZyz1nLbF5eXlPp8vNTU1JSWl2cjnhAkTGhsbk5KS6urqvvrqq7y8vNtuuy08PJzX9BzRiR9AqCoqKnr99dd1Xb/mmmuUn+6YjoyMfPDBB7dv375y5cry8vKzKwGdo148Hk9DQ0NlZWWz0z5b+UIpFqurq5OTk6UaC75GBhi3b9++ZMmSTz755MEHH7zyyiuZSKNKA6A47+OX6spLdcM1a9ZISSTNqJp9Vf/+/RVF+eGHH7799tupU6cG31lqJufPU35rGavMz88/ceJEZGTkoUOHFi1atHTp0mbHoSlBG6eCP28YRmFhYVVVVVZWVnZ2drNvZFmWy+WKiYnp27fvzJkzX3/9dUVRfvnLX2ZkZPBCn8uVRBrQQXTChlhffvmlfNCswYR0nIqOjrYsa+vWrbt27Zo6dWpw76tmf56yIZacSeb1eo8ePZqUlLRq1aoVK1Y4FwdfqZ4U/EIcP368sLCwqakpMzMzLi6u2T9q7dq1W7dunTx58pVXXjlw4MA777xz7969SUlJ999//0V+2koH6 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...

...  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 ... 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 ... nghiệm úng với mọi x D∈khi m A.≥  Rất nhiều bài toán ñược giải quyết dựa vào bảng biến thiên của hàm số. www.VNMATH.comỨng dụng ñạo hàm ñể giải toán THPT Nguyễn Văn Xá – Tổ Toán –...

... quan điểm hàm số, hệ thống bài tập thuộc dạng này ít được đề cập ở sách giáo khoa. Do vậy, trong bài viết này chúng tôi đưa một số ví dụ mẫu và việc vận dụng đạo hàm vào giải một số bài toán về ... những bài toán cơ bản và mô phỏng thành các bài toán khó hơn. Từ đó thấy được mối liên hệ giữa đạo hàm với phương trình, hệ phương trình. Tài liệu tham khảo.1. Sách giáo khoa và sách bài tập toán ... Nếu hàm F(t) đồng biến ( nghịch biến) trên khoảng K và ( )( )( )( )( ) ( )F x F x x xα β α β= ⇒ = với mọi x ∈I 2. Ứng dụng đạo hàm vào giải một số bài toán về phương trình 2.1. Sử dụng...

... ĐINH VĂN QUYẾT ĐĂK LĂKỨNG DỤNG ĐẠO HÀM ĐỂ GIẢI TOÁNI. ỨNG DỤNG ĐẠO HÀM ĐỂ GIẢI PHƯƠNG TRÌNH - BẤT PHƯƠNG TRÌNH - HỆ PHƯƠNG TRÌNH 1. Khi nào thì sử dụng hàm số : Đó là các phương trình, hệ phương ... THỨCI. ỨNG DỤNG ĐẠO HÀM TÌM GIÁ TRỊ LỚN NHẤT VÀ NHỎ NHẤTCỦA HÀM SỐ  VD1: Tìm giá trò lớn nhất và nhỏ nhất của hàm số của hàm số 2 2sin cos4 4x xy = + Giải: Cách 1:•Áp dụng BĐT Cauchy: ... y== Cách giải :- Xét hàm số y=f(t) và nếu chứng minh được hàm số đơn điệu thì kết luậnx=y. Khi đó đưa bài toán về giải hoặc biện luận PT : g(x,y) =0 theo một ẩn.- Nếu hàm số y = f(t)...

... www.violet.vn/toan_cap3Ứng 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 quan đến tham số. Có ... 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 ... 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 hay gặp (như xác định tham số để phương trình có...