Answer: Boiling water on a stove is an example of thermal energy. Thermal energy is produced when the atoms and molecules in a substance vibrate faster due to a rise in temperature.
The particular temperature at which vaporisation occurs is known as the boiling point of liquid. Volume of water increases when it boils at 100° C. 1 cm3 of water at 100 ° C becomes 1760 cm3 of steam at 100 ° C.
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The answer is B.
The planet cannot be too hot or too cold it has to be the right distance from its sun to maintain life.
Answer:
the equilibrium temperature Te = 19.9°C
Explanation:
Given;
specific heat for copper Cc is 390 J/kg⋅°C
for aluminun Ca is 900 J/kg⋅°C,
for water Cw is 4186 J/kg⋅°C
Mass of copper Mc= 265 g = 0.265kg
Temperature of copper Tc = 235°C
Mass of aluminium Ma = 135g = 0.135 kg
Temperature of aluminium Ta = 14.0°C
Mass of water Mw= 865 g = 0.865kg
Temperature of water Tw = 14.0°C
The equilibrium temperature can be derived by;
Te = (MaCaTa + McCcTc + MwCwTw)/(MaCa + McCc+ MwTw)
Substituting the values;
Te = ( 0.135×900×14 + 0.265×390×235 + 0.865×4186×14)/(0.135×900 + 0.265×390 + 0.865×4186)
Te = 19.939°C
Te = 19.9°C
Answer:
a) {[1.25 1.5 1.75 2.5 2.75]
[35 30 25 20 15] }
b) {[1.5 2 40]
[1.75 3 35]
[2.25 2 25]
[2.75 4 15]}
Explanation:
Matrix H: {[1.25 1.5 1.75 2 2.25 2.5 2.75]
[1 2 3 1 2 3 4]
[45 40 35 30 25 20 15]}
Its always important to get the dimensions of your matrix right. "Roman Columns" is the mental heuristic I use since a matrix is defined by its rows first and then its column such that a 2 X 5 matrix has 2 rows and 5 columns.
Next, it helps in the beginning to think of a matrix as a grid, labeling your rows with letters (A, B, C, ...) and your columns with numbers (1, 2, 3, ...).
For question a, we just want to take the elements A1, A2, A3, A6 and A7 from matrix H and make that the first row of matrix G. And then we will take the elements B3, B4, B5, B6 and B7 from matrix H as our second row in matrix G.
For question b, we will be taking columns from matrix H and making them rows in our matrix K. The second column of H looks like this:
{[1.5]
[2]
[40]}
Transposing this column will make our first row of K look like this:
{[1.5 2 40]}
Repeating for columns 3, 5 and 7 will give us the final matrix K as seen above.
