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3.2 Modeling with exponential functions

What can we say about the behavior of an exponential function as the input gets larger and larger?

1. Introduction

Introduction

2. Long-term behavior of exponential functions

Long-term behavior of exponential functions

3. The role of

The role of

4. In **Desmos**

In Desmos, define g(t)=abt+cg(t) = ab^t+c and accept the prompt for sliders for aa, bb, and cc. Edit the sliders so that aa has values from a=5a = 5 to a=50a = 50, bb has values from b=0.7b = 0.7 to b=1.3b = 1.3, and cc has values from c=−5c = -5 to c=5c = 5 (each with a step-size of 0.01). In addition, in Desmos let P=(0,g(0))P = (0, g(0)) and check the box to show the label. Finally, zoom out so that the window shows an interval of tt-values from −30≤t≤30-30 \le t \le 30.

Set b=1.1b = 1.1 and explore the effects of changing the values of aa and cc. Write several sentences to summarize your observations.

5. $p(t) = 4372 (1.0002…$

p(t)=4372(1.000235)t+92856p(t) = 4372 (1.000235)^t + 92856

6. $q(t) = 27931 (0.972…$

q(t)=27931(0.97231)t+549786q(t) = 27931 (0.97231)^t + 549786

7. $r(t) = -17398 (0.85…$

r(t)=−17398(0.85234)tr(t) = -17398 (0.85234)^t

8. $s(t) = -17398 (0.85…$

s(t)=−17398(0.85234)t+19411s(t) = -17398 (0.85234)^t + 19411

9. $u(t) = -7522 (1.038…$

u(t)=−7522(1.03817)tu(t) = -7522 (1.03817)^t

10. $v(t) = -7522 (1.038…$

v(t)=−7522(1.03817)t+6731v(t) = -7522 (1.03817)^t + 6731

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