MHB Find Spring Constant \(k\) & Mass \(m\) for Natural Frequency

Click For Summary
The natural frequency of a spring-mass system is initially 2Hz, which corresponds to the equation \(\omega_n = 4\pi = \sqrt{\frac{k}{m}}\). When an additional mass of 1kg is added, the frequency drops to 1Hz, leading to the equation \(\omega_n = 2\pi = \sqrt{\frac{k}{m + 1}}\). By substituting the first equation into the second, it is determined that the mass \(m\) is \(\frac{1}{3}\) kg. Subsequently, the spring constant \(k\) is calculated to be \(\frac{16}{3}\pi^2\). This analysis effectively reconciles the equations to find the values of \(k\) and \(m\).
Dustinsfl
Messages
2,217
Reaction score
5
The natural frequency of a spring-mass system is found to be 2Hz. When an additional mass of 1kg is added to the original mass \(m\), the natural frequency is reduced to 1Hz. Find the spring constant \(k\) and mass \(m\).

Since the natural frequency is 2Hz, we have that \(\omega_n = 4\pi = \sqrt{\frac{k}{m}}\quad (1)\).

When 1kg is added, we have \(\omega_n = 2\pi = \sqrt{\frac{k}{m + 1}}\quad (2)\).

What I have is equation (1) with unknowns \(\sqrt{k}\) and \(\sqrt{m}\) if I write the equation as \(0 = \sqrt{k} - 4\pi\sqrt{m}\), and equation (2) with unknowns \(\sqrt{k}\) and \(\sqrt{m + 1}\) if I write the equation as \(0 = \sqrt{k} - 2\pi\sqrt{m + 1}\).

How can I reconcile these equations so I have two equations with the same two unknowns which will allow to solve for \(k\) and \(m\)?
 
Mathematics news on Phys.org
dwsmith said:
The natural frequency of a spring-mass system is found to be 2Hz. When an additional mass of 1kg is added to the original mass \(m\), the natural frequency is reduced to 1Hz. Find the spring constant \(k\) and mass \(m\).

Since the natural frequency is 2Hz, we have that \(\omega_n = 4\pi = \sqrt{\frac{k}{m}}\quad (1)\).

When 1kg is added, we have \(\omega_n = 2\pi = \sqrt{\frac{k}{m + 1}}\quad (2)\).

What I have is equation (1) with unknowns \(\sqrt{k}\) and \(\sqrt{m}\) if I write the equation as \(0 = \sqrt{k} - 4\pi\sqrt{m}\), and equation (2) with unknowns \(\sqrt{k}\) and \(\sqrt{m + 1}\) if I write the equation as \(0 = \sqrt{k} - 2\pi\sqrt{m + 1}\).

How can I reconcile these equations so I have two equations with the same two unknowns which will allow to solve for \(k\) and \(m\)?

To solve for $k$ and $m$ from the equations
$$0 = \sqrt{k} - 4\pi\sqrt{m} \tag 1$$
and $$0 = \sqrt{k} - 2\pi\sqrt{m + 1} \tag 2$$
we could do the following:

$$(1) \Rightarrow \sqrt{k}=4 \pi \sqrt{m}$$

Replacing this at $(2)$ we have the following:

$$0=4 \pi \sqrt{m}-2 \pi \sqrt{m+1} \Rightarrow 2 \pi \sqrt{m+1}=4 \pi\sqrt{m} \Rightarrow \sqrt{m+1}=2\sqrt{m} \Rightarrow \left (\sqrt{m+1} \right )^2=\left (2\sqrt{m} \right )^2 \Rightarrow m+1=4m \Rightarrow 3m=1 \Rightarrow m=\frac{1}{3}$$

Replacing this at the relation $\displaystyle{\sqrt{k}=4 \pi \sqrt{m}}$ we get:

$$\sqrt{k}=4 \pi \sqrt{\frac{1}{3}} \Rightarrow \left (\sqrt{k}\right )^2=\left (4 \pi \sqrt{\frac{1}{3}}\right )^2 \Rightarrow k=\frac{16}{3}\pi^2$$
 
mathmari said:
To solve for $k$ and $m$ from the equations
$$0 = \sqrt{k} - 4\pi\sqrt{m} \tag 1$$
and $$0 = \sqrt{k} - 2\pi\sqrt{m + 1} \tag 2$$
we could do the following:

$$(1) \Rightarrow \sqrt{k}=4 \pi \sqrt{m}$$

Replacing this at $(2)$ we have the following:

$$0=4 \pi \sqrt{m}-2 \pi \sqrt{m+1} \Rightarrow 2 \pi \sqrt{m+1}=4 \pi\sqrt{m} \Rightarrow \sqrt{m+1}=2\sqrt{m} \Rightarrow \left (\sqrt{m+1} \right )^2=\left (2\sqrt{m} \right )^2 \Rightarrow m+1=4m \Rightarrow 3m=1 \Rightarrow m=\frac{1}{3}$$

Replacing this at the relation $\displaystyle{\sqrt{k}=4 \pi \sqrt{m}}$ we get:

$$\sqrt{k}=4 \pi \sqrt{\frac{1}{3}} \Rightarrow \left (\sqrt{k}\right )^2=\left (4 \pi \sqrt{\frac{1}{3}}\right )^2 \Rightarrow k=\frac{16}{3}\pi^2$$

thanks. That was pretty obvious. I was thinking about it all wrong.
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

Similar threads

  • · Replies 5 ·
Replies
5
Views
1K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
17
Views
2K
Replies
17
Views
4K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 7 ·
Replies
7
Views
3K
Replies
6
Views
1K
  • · Replies 4 ·
Replies
4
Views
3K
Replies
8
Views
1K
  • · Replies 20 ·
Replies
20
Views
4K