The function [math]y=2^x[/math] is the dotted graph. It is the "before" parent function.[br][br]The red graph is the "after" transformed function [math]y=a\cdot2^{b\left(x-c\right)}+d[/math][br][br]The asymptote of the "after" function follows it. [br][br]Reset returns to the parent function. [br][br]The y intercept A of the parent function maps to B on the transform graph. Use it's behavior to answer the questions.[br][br][br]Use these words: vertical translation, horizontal translation, vertical stretch/compression, x axis reflection, y axis reflection.
Reset[br][br]Make [b]a[/b] bigger. What happens?
Reset.[br][br]Make b = -1 so that the function is [math]y=2^{-x}[/math][br][br]Describe the tranformation.
Reset[br][br]Make a = -1 so that [math]y=-2^x[/math][br][br]Describe the transformation.
Reset[br][br]Change c so that [math]y=2^{\left(x-3\right)}[/math].[br][br]What is the transformation?
Reset[br][br]Change d so that [math]y=2^{\left(x\right)}+3[/math].[br][br]What is the transformation?
For the last question, what is the equation of the new horizontal aysmptote?
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jJi3Qy7TAFlGfxJ3QH1j3ovTacgdW0a13QXtbd4XaAJ0KkFmjDtRxQBVeI/f6fp5cuXy6Llf8q9qLbWrtShBOTYMduhffON7ciuuw644YZQagHrGmkEGCgSaT3O9pIACZBAGBPgSC2MO5dNi1AChvSsNOLxk09sMRK9JXfHHUWOM4nQjmCzvSBAp+YFdZZJAgYI6Oaje/futaIeddqzhiysrlatmr3FzIwZtkfScm68sUh6VsuWAe++a1e0Xz/giScMVJomSCDABOjUAgyY5kkgUAQ2S6j+uHHjsHLlSlxxxRV4Vjb+PP9+XqDKpl0SCFYCvKcWrD3DepFAIQR07du6deuwR9ajadRlkyZNULdu3UKuKvzt1FRg2jR7iZuuRdNpx2uvLfw6nkECwUCAI7Vg6AXWgQRMETCgZ7V9O/Dii5ANR4H69YHRo4Fu3UxVkHZIILAEOFILLF9aJ4HiJaDRHQ88AKxeDbRrZ+tZaRw+EwlECAGO1CKko9nM8CKQlJRkSWPpFGSzZs3Qu3dve1NQmY7E55/bjVVZrJtuAsqW9bvxYhYLFwK6Pk3MWtOOhvca9bsuPJEEikKATq0o1HgNCXhMYKrskfb+++9b0ljDReZj7NixtjSWjtRcJL2X9t57ELvAsGGQQBSIXRcGeSkJFDMBflyLGTiLC28CWXJPSyWx1qxZ4zQ0TTbn3L9/v6X7mFfouGTJkiI7NdxSGnFO9vNAtSR90lgqjKy2TCR1ZrmKW5YzM2TWRNVogwT8IkCn5hcmnkQC/hE4KzqLunbsZ42yyE3p6emWAzp48GC+/Li4OEu933eeq2cRUsbGjXZ0h+o8SiQkmjdXMUi/zKrGo16uwv4a8aiXGwik9KtsnkQCJgnQqZmkSVsRT0Ad1WgJF3xAgzVy03/+8x889thjIgQ8CI8++qgvG1FRUbIjTGXntauDffuA8eOBr7+GxPcDo0bZysNSH3+S3kvTqu3aBTRqBLzyCtCqlT9X8hwSCC4CdGrB1R+sTYgTUEdV5bzICp1y1CnC8uXLo06dOoFpoc4byjQnDh0CEhIglQCqVi20rLyKWrKZgCU+oir8uu2aVJeJBEKOAJ1ayHUZKxzJBDTaUac3jxw5Itu/xKN69equRnvq1M5X1BoyJJIJs+2hToBOLdR7kPWPKAKrZf3Zc889h59++gkNGza0jnX3bOiiayYSIAHQqfFDQAIhROCw7GKt9+h0xJaYmIirr74aNTW6Q9emyQjOmjfUDUrF4RWW1q8H5s8HREISDRrY+6SJOSYSCGkCdGoh3X2sPAkIgS++AJ5/3kbx0EPAa69dEotuhJ2RASxYADz+uH0L7rbbgFdfBcqUueSlfJMEgp4AnVrQdxErSAJmCciSObz+OvDll5D1bcAjj1xWoKTZytAaCRgmQKdmGCjNkUAgCOhia91iZvny5ZaKSNu2bdFbYu7L6KZnGzYApUsDem9N8gtLOkoTM1i71h6ltW8P6CagTCQQDgTo1MKhF9mGsCegSiUTJkzAzJkzrYXc9913Hx5u0wYlHnzQXnBduzZkQzXK6Yf9J4ENLIwAnVphhPg+CQQJgfOlsWJLyNdXY/J1jZqsj4Psfl2YUOPcucBf/2oHh/ToAWj4vh+DuyAhwGqQQOEE6NQKZ8QzSMBvAmfOnEFycjIOqO5UblovYYYnT57Ejh07sHTpUl+2KFjF4KqrriqwWNs5weCBKHVJvSAjPeDTTyHlAgMGAEOHGiyEpkggCAjQqQVBJ7AK4UMgUzQYdZpw3rx5TqN06lCd3AxZ5bxo0SInP0GUP16XiI2+ffs6eYE60LB9jXTU+2gqNKIzldzNOlC0addLAnRqXtJn2WFHIFamAG+44QbU1ntcuWmXCCr+61//QuvWrcWRXOvLtpT169Wr57y+2MGqVaus63/88Udr77Tbb78dnVTrceJEQESSLe8keZdSINa12SkpECUSoGJFoFo1oFKli5XIfBIIXQJ0aqHbd6x5EBLQLWDuuOOOfDXTiMWFsvNmD7mJ9cwzz+R7z58Xutj65Zdftk4dOHAgnnjiCZT5n/8BpkyxL9ebYyNHXtSUSkLu3AlkZ0MkteyF1qKwxUQCYUmATi0su5WNIoFzBGQ/UehDB3e/+pW9Lk0VRJhIIBwJ0KmFY6+yTeFLQKX0P/wQWLcOomZsa1t17HjB9m7dCnz1FaARjyref+ed9iJrbilzQVzMDBMCdGph0pFsRvgR0A1HM2SltEZORknzZEMZlJZIjyiN+ND5w27dIIrG9nxinubn5NgyWP/+tx0cIgGZFzs1z1U8JIHwIECnFh79yFaEIYF9Ml/45ptvirTjFygl7Rslj4Hy0GPI4mtrLlEjPs5Leu/s7bftLWV0Q+z777/oqeddyZckEPoE6NRCvw/ZgjAloKO0b775RsLw10JEsNBeHo6aVcuWF1QP0SlHHaHpWjQV7+/fH1CxYh3UMZFAJBCgU4uEXmYbI4aALoNTgWIVGunXz476Z+h+xHQ/GyoE6NT4MSCBICQwZ84ckbP6q+x1thk9pX5D5NFW6yl6jxg2DOjVS185SZX3J02yg0J0a5kHHrCDQipUgCiXOKfxgATCngCdWth3MRsYigSSkpIwffp0q+p6H22IeibVttLh1/DhdqBIbsNEfQsrVtiajqrO1VO84ODB9nMotp11JgE3BOjU3NDjtSRQXARKSXjIKAkVGTQIiIvLV6reP3vlFYgUF2ThN/DSSxA9yXyn8AUJRAwBOrWI6Wo2NBQI7BTpD5XUUo1IUbOC+CiI7rCtwq+ijfrITaK+JefaQSG6R9q990p0pAzr6tTxncFnEog8AnRqkdfnbHEACejastTUVBw/ftwpRbUfT0nkxkHRady0aZOTHx0dLeunq6NMmTJO3u7du/Hee+9hiyyyVtEPCdzHNeXLA/XqQU50zlN1EI1yFO1kKcvePuahh7iNjAOIBxFLgE4tYrueDQ8EAd9mnkuWLHHMHzt2DGkiwKgq/bp7tS/FyTTic889JzEfvXxZF37u3Rv43e/yLbL2SV+prqNKX/33fwOJiRe+nLkkEEkE6NQiqbfZ1oAT0NFXw4YNLSUQX2F79+6VNWN7ULNmTXTo4Kw0s1T6K6pkfm5SRzh79mwcPXrUWo/Wr1w5XCmK/3qj7FSr9liwADKCs0+W4EhLoF/voeltNtkAgIkESEAI0KnxY0ACBgmUkoCOBzSePk9Slf7vv/9eAhf7Ydy4cXnesQ91alKlsKZNm4apEpefINkDxc5T9esDv/0tstt0wsEDwPvvA+rMNKlK1jXXAM8/n28AZ7/J/0kgggnQqUVw57PpwUFAt5Z54403rKnJRlKlx+TRUyM+VN+qUSMJGrFlr9asOVffS6hknTuJRyQQgQTo1CKw09nk4CKg05Off/65FVzSVTY8u05U9xPFqZ3ofJ04OlvDcf58QMX4fXJXlL4Krj5kbYKHAJ1a8PQFa0IC1sgMr74KNG6MfRKyP348RP9RRIxzl6ndeqsNSTbYZiIBErgAATq1C0BhFgkUBwGNlJw8ebIVFanHv5RC22+LxoTxpZBVrgTS04EffwS6dBFFkSH2SO28ddfFUU2WQQIhRYBOLaS6i5UNFwI65bh+/Xr8/e9/x4alS61oxzZoiLi0Vpjxf3HYIw1VB6bKWANk9fXQoeHScraDBAJLgE4tsHxpnQQuSGDhwoV45plnsF+UiLvLGa/L40MMwT8xDPthq4ZccQXw7LMFtIsvaI+ZJEACNgE6NX4SSKAYCRw6dAiffPIJZs6cib2iRHy7lN0ETfF/cvQt+iK2zpV4RDJ1+Zo+NDhEYkeYSIAE/CRAp+YnKJ5GAm4JqEyWqu+/LwvO1qzZhng0hiw1E/Wr3ni9+lPIjE5AlzbAo49Sv9Eta14fuQTo1CK379nyYiagMllL5f6Z6joCfZCFJzBBjnq1q4S3nyuFUrKgumxZoFq1Yq4YiyOBMCJApxZGncmmeE9A1UG++uorbN261anMtm3bLOmrA7I3zJ49KnR8ozyaIib2ezS8/gZ0GNgAnSTCUcP2mUiABNwRoFNzx49XkwB0p2nd+uXMGXk+kYWp73+EuXNn4qSwycnDRyW04uJE+kpGaMB6JCQ8g4cfroFbblE9fiYSIAETBOjUTFCkjYgmoNvAvPkmsHGjiKmeBnokiR6jEJEsZOYhM1BUQgYPHi45DeVxBUqU+BPatm2b5wwekgAJuCVAp+aWIK+PSAIS82FJWJ04IfuZpZ3A0U9XIjb5oCiEZ8robA/Et1mjtDZt2qBChQqWrmOTJk1w663X5/KqJM/1co/5RAIkYIoAnZopkrQTUQR0r8/HHwfkdhnq5aTh/ezx6IgVEB+Hh5GN2fKcLY8hIgXSsmVL0Sa+P6L4sLEk4BUBOjWvyLPckCDw9dcQ1Y+CVS2TugUP75qEkicPSBRjOmbhR/xN7qKdklNXy6O5jNCGDRuG3rLB55EjRxAVFVXQCHNIgASME6BTM46UBkOBgAZ1JCfbG21eqr6r5+zFTxM3W6fIlmaQARrkUrTEOjyNKaiBFPkHTJTHennExMSItNVV1t5pOjrT3a11PzUmEiCB4iFAp1Y8nFlKkBHIlAiOCbJITLd0uVS69dhCTMOz1inz5P/fyEMCHcW5ZeFxEbTSL5DeP9svD00a4Th69GjcJnvD6DETCZBA8RLw26nNnzcfKakpuP3223HllVe6rqWu41G5oM6dO6N79+6u7akBlR7SqR6tY7ly5YzYDIRdFbLVtt9yyy1Got9012Rd2FuiRAmr7frsNq1YsUI2p1yEQYMGQQMc3CZV09A216xZEzfffLNbc871Prs1atRA//79rXxVtpeiIEvGLppEFB9LlgDbt9un3II5Iiq8qsD5Z2UycRLskyS40Zpe1JPkcuzWA0mVKlXCvfKZq127NkqWLImePXviChVuDGCaO3cuVBRZP+tavtv0008/Wf1zww03oFOnTm7NOddvlJBQ7ffrr7/eiN3Tp09b9vRZ264jYbdJN2lVnmqvRYsWbs1ZaxK1zdov+seNiaSL9lfK5npax/q6I7qhtGzZMuh3Xe02aOB+aYl+JrXtjWXrpD59+hip5ZdffolNyZvQu1dvVK5UuGac379+KsC67NtlsoX8NUacmi5IfVPioEeNGmXMqc2Rve53iJ6ewjTp1PQDr/XVL7wJuxs2bMBLL72EWrVqGXFqmTLsmD59OuLj460vkQmntmrVKrzyyivWl9yUU5s0aRI6dOhQqFNTZ5SaKuHweePhL/L12LHjmMhOLUDz5s1l2s92arpT9B/+AIivFymqk6iGNMQ67sg2JEvLJPdc6oC/Y7A8zk9/k4zxuZllypRBHZH7iI6OzndanTp1ZL3Zw9BIx+JKX3zxhUhtrcG1115rxKkly1zsyy+/LHqTFY04Hx8Hn93y5csbsetzarpVj/5xZMKpKcc/yAemadOmRpxauuwZ9Oc//xmJiYnGnNq3336L9957D+3atTPq1NTuO++8Y9k15dQ+/PBDq29MOTUVM9BBVctmLc06Nd+HlM8kEGgC6tCefx4Q319oysysjs2bx8qopYzIT9mni2YwdCSmqbFMFI7D87gSe+2M3P91ClGKwNLc15OxDZ/nHud9yuv42rdvj3HjxhX4IdUfVv0BYyIBEvCegN8jNe+ryhoUL4GrxTHcj88/r49du9yXvG9fBaSl3Y516+ri3XcvbS97/1FUXLgA7baLd7tE+k7e+z73/eOiPpWW1wP58rFVQjqWSjCHLCzLk9TnHcnzWiLzxa0VTDodNVKmEzW1atUKXbt2taYYC57JHBIggWAgcFlO7YyEjJ2Q1aY6vHabMkRX6KzoC+k0ggl7Wp/s7Gzo9MRx+YUzZTMQdvUemCadNjRRz2PHjlntVt1BtWciQCEzs41M37WBzCRIct/fsuWl2HnQuoe1ZMml7SWKI/oQf7zgPS6tjS+9JAerfS8u8qyDt3EXec+fbL3nq1PFvqR9po/LSfqdCcRnXb+Ppj7r+pnMyckx9pn08TFtV38v9HOuD/3cnz8V7Cv3cp59/al1NfF91D7R3yH9PTJhT9ui7dbPkP5umrIZCLv6WdfPpcnfdbV1OSkqZWdKjj8XvPjSi/jL3/5i3QPS+XG3STdH1G04dB63UaNGbs1Z1+vcuHa6Sg/p/SVTybTdPXv2WG2/+uqrUbduXdfV1C+P1lG/4DrnbuKLrnq869a5rlqRDJTGcbRFEirh8CWv18CN5Eue4f5NvSmv/eQm6R5q+lnXe6gm7k9qXdauXWsFJOhnvXTp0m6qZ12rN/i1js2aNTN6z8ZnV+9Xmbhnoz+YWk/9gde2x8bGum673odXnmpPA5ncJnWOWseEhARj91k3yWr/7du3W3WsUqWK2yo61//888+W+La2vWrVqk5+UQ80UE9/i6rJvWf9LJlIGlgXHxePt954y6/vz2WN1PQvhK+//tpEPR0bP0qomj5MpvmFxWkXsTDTdr///nvow2RKSUkxac4TW6rKscyPkvVL01eCNDQqTAMcTAVq6Odx586dVlBLZQM7dPoCd3QNm4kfYUWjf7jogm61bcJmIOqo9VS7Wk9Tbdd260NHlabarnXz1dUESx1Fapu1nibsad18dTTF0Wqw/Beoz5HJtquty0mX5dQuxzDPJYFAE9Aw5DvvvNOSoFKH9sYbbxgp8sUXX7SiSceOHWskYk9DpnUhtgoaP/3000bq+KjsJPrDDz9YEaomglQ0cnj48OG499578eCDDxqpoxrRyGGf3Yceesi1XZ0qVJY6JaVRdiZmjaZMmYLHHnsMI0eOtELb3VZy9+7dVh11lK8bwppIr776qtXe3/3ud+jRo4cJk5aN1157zarjU089ZS1FcWtY/0jX/unbty/0e2QiPfnkk1i0UEKa/UyX5dR0aD5kyBBrPY6f9i96mob6aoj3ddddZ2w9w7Rp06DrloYOHWqJyF608Mt8w7RdXRczefJk3H333dYSicusToHTdcpVv5j6V6G23fdXd4ETLyNDR+SzZ8+2+tvt9JsWu0+k7LXNOt06ePDgy6jJxU/V5QEaeah/yWmbTU05K0f9S1vvTZqwqXbUnto1YU+JaHu13dp+EzZ1fZ3pOmo9TdvVOupoRR+m2u4bTWldTbAMxGdS+1vbbqqO2jeaTNvVz7pvlGaCpa+OVmX9/O+ynJouJtS/jk1M8+i6N11b1bFjR2N/GX733XfWOrV77rnHyNy4j6FOb+k6tV/96lfWfRFfflGftd1Tp061/jLSv2LdpsOHD2Px4sXWF1L/SjIRKKL36XTR44033ogBAwa4rSL0nsBnn31mrQMyORLQewJMJEACJOAjcHmTlb6r+EwCJEACJEACQUggZsxjY57zp15x8XFo1rwZdAGqKiu4TTqU1pGfrvtReSETSW1qlJWuJzIxWvHVSYfTGrVmyq7WU6ODdG7chOSY2tMpFJ0m1OAJra/bpDY0Wq9bt24wESyh9dEoPY2yMhXtqja17abtqk29H6JyUSYUZHbJQj+VcNPPT69evbTarpPWUaWIdNbExDSP2lNpL5WsU8kxU0ntalSd2jURWaj10qlHXT+oD50+c5u0jlo3/T6aiABUe9onrVu3tsSt3dZPr9fvo07dd+nSxeitFa1rvXr1jNrV74zeGjAR7apt1zomNkhE82bN/fqs+x3SX7ZCWZQp696ZaSWZSCCSCKhKvwZg/PrXv7YUSSKp7WwrCZggcCr7FI4cOoLTp1Q+/NLJ/Z/0l7bPd0mABEiABEig2AjQqRUbahZEAiRAAiQQaAJ0aoEmTPskQAIkQALFRoBOrdhQsyASIAESIIFAE3AfOhToGtI+CYQQARWy1b3o8sqVqdCACr2q/JZuoOhLGrmnUWImow19tvlMApFKgNGPkdrzbHdACKjz0gX1KjvlSz6FfnViPvUKfU8Fbz/++GMji9t9ZfGZBMKRwOVEP3KkFo6fALbJMwIqYzRs2DBrR2pfJbbKlgcqEabr3vr3t3fn1vfUwbVs2dJ3Gp9JgAQMEKBTMwCRJkjAR0Ad1fnb2Os6NZ12VOECkxJhvjL5TAIkcI4AA0XOseARCZAACZBAiBOgUwvxDmT1SYAESIAEzhGgUzvHgkckQAIkQAIhToBOLcQ7kNUnARIgARI4R4BO7RwLHpEACZAACYQ4ATq1EO9AVp8ESIAESOAcATq1cyx4RAIkQAIkEOIE6NRCvANZfRIgARIggXME6NTOseARCZAACZBAiBOgokiIdyCrH1wEsrKyLEmsH374walYamoq9u/fj7lz50KPfUkltYYOHYrWrVv7svhMAiTgkgCdmkuAvJwE8hJQ8eKdO3di3bp1TnZ6ejqys7ORlpaWLz8uLg5Hjx51zuMBCZCAewJU6XfPkBZIwCGgTk1HZarW70tJSUkYM2YMBg4ciFGjRvmyER0djapVq6J06dJOHg9IgAQKEqBKf0EmzCGBYiGgjqpatWr5ytIpRxU6rlixIho0aJDvPb4gARIwS4CBImZ50hoJkAAJkICHBOjUPITPokmABEiABMwSoFMzy5PWSIAESIAEPCRAp+YhfBZNAiRAAiRglgCdmlmetEYCJEACJOAhATo1D+GzaBIgARIgAbME6NTM8qQ1EiABEiABDwnQqXkIn0WTAAmQAAmYJUCnZpYnrZEACZAACXhIgE7NQ/gsmgRIgARIwCwBChqb5UlrEU5AhYtnzJiBjRs3OiR27dqFQ4cOYfHixcjJyXHyVTpr0KBBaNq0qZPHAxIgAXcE6NTc8ePVJJCPwOnTp7F06VLMnz/fyc/MzMTx48exdu1a7N6928mPj49H+/bt6dQcIjwgAfcEqNLvniEtkIBD4MyZM9i8eTMOHjzo5K1fvx4vvPAC+vbti2HDhjn5MTExaNiwISpXruzk8YAESKAgAar0F2TCHBIoFgLqqK666qoCZeneabVr10bXrl0LvMcMEiABcwQYKGKOJS2RAAmQAAl4TIBOzeMOYPEkQAIkQALmCNCpmWNJSyRAAiRAAh4ToFPzuANYPAmQAAmQgDkCdGrmWNISCZAACZCAxwTo1DzuABZPAiRAAiRgjgCdmjmWtEQCJEACJOAxATo1jzuAxZMACZAACZgjQJkscyxpiQRw9uxZ7Nu3DydOnHBo7NmzB6dOnbL0H7ds2eLkR0dH44orrkDp0qWdPB6QAAm4I0Cn5o4fryaBfASysrIwYcIES//R98axY8csRzdz5kysXr3alw1VGRk7dix69uzp5PGABEjAHQE6NXf8eDUJ5COgo6969erh6NGjTn5qaip27NiBatWqoVWrVk5+yZIlUb58eec1D0iABNwToFNzz5AWSMAhUKpUKTz44IPOaz1Yvny5pdDfv39/jBs3Lt97fEECJGCWAANFzPKkNRIgARIgAQ8J0Kl5CJ9FkwAJkAAJmCVAp2aWJ62RAAmQAAl4SIBOzUP4LJoESIAESMAsATo1szxpjQRIgARIwEMCdGoewmfRJEACJEACZgnQqZnlSWskQAIkQAIeEqBT8xA+iyYBEiABEjBLgE7NLE9aIwESIAES8JAAFUU8hM+iw4+AChcvWrQI27Ztcxq3detWpKenW7qPH3zwgZMfGxuL3r17o379+k4eD0iABNwRoFNzx49Xk0A+AtnZ2ZgyZQrmzJnj5J85cwYqdDxv3jwsXrzYyU9ISMBHH31Ep+YQ4QEJuCcQlbIzJccfM2UrlEWZsmX8OZXnkEDEEjh9+rQ1IktJSXEYJCcn46233rLU+O+66y4nv0SJEmjfvj1q1Kjh5PGABEigIIFT2adw5NARnD51uuCb5+VwpHYeEL4kATcE1FF17tw5nwkVNP7444/RtGlTDBo0KN97fEECJGCWAANFzPKkNRIgARIgAQ8J0Kl5CJ9FkwAJkAAJmCVAp2aWJ62RAAmQAAl4SIBOzUP4LJoESIAESMAsATo1szxpjQRIgARIwEMCdGoewmfRJEACJEACZgnQqZnlSWskQAIkQAIeEqBT8xA+iyYBEiABEjBLgIuvzfKkNRKwJLFUGsuXVCIrJycHqguZkZHhy7aeS5UqhZiYmHx5fEECJFB0AnRqRWfHK0mgAIHMzExLEmvlypXOewcPHkRaWhpmzJiBjRs3Ovnq0EaNGoVOnTo5eTwgARJwR4BOzR0/Xk0CBQicPXsWeUdq+lqTjtby5uux5jGRAAmYI0BBY3MsaYkELCelozUVNval7777DiNGjMDgwYPx1FNP+bIRFRWFuLg4qF4kEwmQwMUJUND44mz4DgkElIA6qvj4+Hxl6BYz0dHR0OnGsmXL5nuPL0iABMwSYPSjWZ60RgIkQAIk4CEBOjUP4bNoEiABEiABswTo1MzypDUSIAESIAEPCdCpeQifRZMACZAACZglQKdmlietkQAJkAAJeEiATs1D+CyaBEiABEjALAE6NbM8aY0ESIAESMBDAnRqHsJn0SRAAiRAAmYJUMrALE9ai3ACqiSSlJSElJQUh0RycjJOnDhh6T5++umnTr4qibRt2xY1atRw8nhAAiTgjgBlstzx49UkkI+AOi+VxJozZ46TrxqPKp2lTkxVRXxJlUYmTpyIAQMG+LL4TAIkcAEClMm6ABRmkUBxEChZsiTuuecedO3a1Slu27ZtmDp1Kjp27Ih+/fo5+bGxsWjRooXzmgckQALuCXD60T1DWiABh4A6qptuusl5rQfLly+HTjuqUxs5cmS+9/iCBEjALAEGipjlSWskQAIkQAIeEqBT8xA+iyYBEiABEjBLgE7NLE9aIwESIAES8JAAnZqH8Fk0CZAACZCAWQJ0amZ50hoJkAAJkICHBOjUPITPokmABEiABMwSoFMzy5PWSIAESIAEPCRAp+YhfBZNAiRAAiRglgCdmlmetEYCJEACJOAhATo1D+GzaBIgARIgAbMEKJNllietRTgBFS/esmULDh065JDYsGGDJWi8e/durFixwsmPiYlBYmIiKlWq5OTxgARIwB0BqvS748erSSAfgYyMDPz2t7/FV1995eSrQn9qairKli2LypUrO/nx8fF45ZVX0KdPHyePByRAAgUJUKW/IBPmkECxENDtZbp165bPee3atQuzZs2yFPl79uzp1EPFj2vVquW85gEJkIB7Apx+dM+QFkjAIaBbz9x9993Oaz1Qlf5ly5ahd+/eGDduXL73+IIESMAsAQaKmOVJayRAAiRAAh4SoFPzED6LJgESIAESMEuATs0sT1ojARIgARLwkACdmofwWTQJkAAJkIBZAnRqZnnSGgmQAAmQgIcE6NQ8hM+iSYAESIAEzBKgUzPLk9ZIgARIgAQ8JECn5iF8Fk0CJEACJGCWAJ2aWZ60RgIkQAIk4CEBKop4CJ9Fhx+B7OxsSxJr48aNTuNUJuvw4cNYsmQJxo8f7+Sr+sitt96KJk2aOHk8IAEScEeATs0dP15NAvkInD59GgsWLMD8+fOd/KysLKSnp2PNmjXYtm2bk6+Cxq1bt6ZTc4jwgATcE6BKv3uGtEACDgHdeiY5ORkHDx508tavX4/f//73lhr/0KFDnXzdeuaqq67KJ37svMkDEiABhwBV+h0UPCCB4iWgjqpZs2b5CtW8uLg41K1bF927d8/3Hl+QAAmYJcBAEbM8aY0ESIAESMBDAnRqHsJn0SRAAiRAAmYJ0KmZ5UlrJEACJEACHhKgU/MQPosmARIgARIwS4BOzSxPWiMBEiABEvCQAJ2ah/BZNAmQAAmQgFkCdGpmedIaCZAACZCAhwTo1DyEz6JJgARIgATMEqBMllmetBbhBHJycnDgwAFkZGQ4JFJTU6HyWUeOHMGOHTuc/KioKFSpUgUJCQlOHg9IgATcEaBTc8ePV5NAPgKZmZmYMGECli1b5uSr7mNaWhpmzpyJpKQkJ19VRp5++mn06NHDyeMBCZCAOwJ+O7VTWaeQEX3ur093xfJqEghPAlmZWahYviJq16x9roE1geZNm597nXtUslRJxETFIOMEv1cF4DCDBPIQOHP6DHLO5uTJufih34LGFzfBd0iABEiABEggOAgwUCQ4+oG1IAESIAESMECATs0ARJogARIgARIIDgJ0asHRD6wFCZAACZCAAQJ0agYg0gQJkAAJkEBwEKBTC45+YC1IgARIgAQMEKBTMwCRJkiABEiABIKDAJ1acPQDa0ECJEACJGCAAJ2aAYg0QQIkQAIkEBwE6NSCox9YCxIgARIgAQME6NQMQKQJEiABEiCB4CDw/8qrWkmVUhXMAAAAAElFTkSuQmCC[/img][br]There are three functions graph here: [math]y=3^x[/math], [math]y=2^x[/math] and [math]y=4^x[/math][br][br]Which is which?