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Calculating How to apply fourier transform of (0to \$0.5^n u(n))\$

I'm working in a signals class for continuous signals, and we have this problem shown above. I have tried using this function f_1 X f_2 = F_1 * F_2\$f_1*f_2 = F_1 * F_2\$, where I'm assuming this means multiplication of two functions is equal to the convolution of their fourier transforms. I'm using f_1 = 0.5^n\$f_1 = 0.5^n\$ and f_2 = u(n)\$f_2 = u(n)\$.

So I can calculate the fourier transorm of u(n)\$u(n)\$ fine. It is (pi)(delta)(w) + 1/(jw))\$\pi\delta(\omega) + 1/(j\omega))\$. However, I cannot for the life of me figure out 0.5^n\$0.5^n\$. I tried to put it into the fourier transform integral integral of (0.5^t)/(e^(jwt))dtintegral of\$(0.5^t)/(e^{j \omega t})dt\$ from negative infinity to infinitynegative infinity to infinity, but I end up with 0.5t/(e^(jw))\$ 0.5t/e^{jw}\$, and when evaluated from negative infinity to infinitynegative infinity to infinity, I end up with infinity\$ \infty \$ as my answer, unless of course the integration is wrong.

Therefore, either the answer is infinity * (pi)(delta)(w) + 1/(jw)\$ \infty * \pi\delta(w) + 1/(j\omega)\$, which when convoluted would equal just the second function..? OR am I going about this problem completely wrong?

Calculating fourier transform of (0.5^n u(n))

I'm working in a signals class for continuous signals, and we have this problem shown above. I have tried using this function f_1 X f_2 = F_1 * F_2, where I'm assuming this means multiplication of two functions is equal to the convolution of their fourier transforms. I'm using f_1 = 0.5^n and f_2 = u(n).

So I can calculate the fourier transorm of u(n) fine. It is (pi)(delta)(w) + 1/(jw)). However, I cannot for the life of me figure out 0.5^n. I tried to put it into the fourier transform integral integral of (0.5^t)/(e^(jwt))dt from negative infinity to infinity, but I end up with 0.5t/(e^(jw)), and when evaluated from negative infinity to infinity, I end up with infinity as my answer, unless of course the integration is wrong.

Therefore, either the answer is infinity * (pi)(delta)(w) + 1/(jw), which when convoluted would equal just the second function..? OR am I going about this problem completely wrong?

How to apply fourier transform to \$0.5^n u(n)\$

I'm working in a signals class for continuous signals, and we have this problem shown above. I have tried using this function \$f_1*f_2 = F_1 * F_2\$, where I'm assuming this means multiplication of two functions is equal to the convolution of their fourier transforms. I'm using \$f_1 = 0.5^n\$ and \$f_2 = u(n)\$.

So I can calculate the fourier transorm of \$u(n)\$ fine. It is \$\pi\delta(\omega) + 1/(j\omega))\$. However, I cannot for the life of me figure out \$0.5^n\$. I tried to put it into the fourier transform integral integral of\$(0.5^t)/(e^{j \omega t})dt\$ from negative infinity to infinity, but I end up with \$ 0.5t/e^{jw}\$, and when evaluated from negative infinity to infinity, I end up with \$ \infty \$ as my answer, unless of course the integration is wrong.

Therefore, either the answer is \$ \infty * \pi\delta(w) + 1/(j\omega)\$, which when convoluted would equal just the second function..? OR am I going about this problem completely wrong?

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Calculating fourier transform of (0.5^n u(n))

I'm working in a signals class for continuous signals, and we have this problem shown above. I have tried using this function f_1 X f_2 = F_1 * F_2, where I'm assuming this means multiplication of two functions is equal to the convolution of their fourier transforms. I'm using f_1 = 0.5^n and f_2 = u(n).

So I can calculate the fourier transorm of u(n) fine. It is (pi)(delta)(w) + 1/(jw)). However, I cannot for the life of me figure out 0.5^n. I tried to put it into the fourier transform integral integral of (0.5^t)/(e^(jwt))dt from negative infinity to infinity, but I end up with 0.5t/(e^(jw)), and when evaluated from negative infinity to infinity, I end up with infinity as my answer, unless of course the integration is wrong.

Therefore, either the answer is infinity * (pi)(delta)(w) + 1/(jw), which when convoluted would equal just the second function..? OR am I going about this problem completely wrong?