Not necessarily at all
Having the same volume means that these 2 objects occupy the same amount of space but it does not at all mean that these 2 objects have to be of an equal amount of mass
An example to simplify it is how you can fill a box with 100 little balls but it will require you millions of sand particles to fill the same box
In both cases the volume of the box which the 2 objects occupy is the same but the amount of basic units so to speak is different for sure
This simplification goes further in depth when looking at the atomic infrastructure of matter, objects like those of yours in the question
A Mole of whatever the matter may be, however, has the same amount of mass and this is due to the fact that the Mole is related to the definite <span>Avogadro's number, number of units in one mole of any substance (defined as its molecular weight in grams), equal to 6.022140857 × 10</span>²³<span>. </span>
Answer:
The temporary hardness of water can be removed by boiling. The bicarbonates get converted to insoluble carbonates and settle down at the bottom.
Calcium bicarbonate -------> Calcium carbonate [insoluble] + Water + Carbon dioxide.
Ca[HCO3]2 -----> Ca CO3 + H2O + CO2
Answer:
D. Greenhouse Gas
Explanation:
I read about this earlier today
Answer: Heat energy is the transfer of<u> thermal energy.</u>
Explanation:
Answer:
Explanation:
{\displaystyle {}^{n}x}{}^{n}x, for n = 2, 3, 4, …, showing convergence to the infinitely iterated exponential between the two dots
In mathematics, tetration (or hyper-4) is an operation based on iterated, or repeated, exponentiation. It is the next hyperoperation after exponentiation, but before pentation. The word was coined by Reuben Louis Goodstein from tetra- (four) and iteration.
Under the definition as repeated exponentiation, the notation {\displaystyle {^{n}a}}{\displaystyle {^{n}a}} means {\displaystyle {a^{a^{\cdot ^{\cdot ^{a}}}}}}{\displaystyle {a^{a^{\cdot ^{\cdot ^{a}}}}}}, where n copies of a are iterated via exponentiation, right-to-left, I.e. the application of exponentiation {\displaystyle n-1}n-1 times. n is called the "height" of the function, while a is called the "base," analogous to exponentiation. It would be read as "the nth tetration of a".
Tetration is also defined recursively as
{\displaystyle {^{n}a}:={\begin{cases}1&{\text{if }}n=0\\a^{\left(^{(n-1)}a\right)}&{\text{if }}n>0\end{cases}}}{\displaystyle {^{n}a}:={\begin{cases}1&{\text{if }}n=0\\a^{\left(^{(n-1)}a\right)}&{\text{if }}n>0\end{cases}}},
allowing for attempts to extend tetration to non-natural numbers suc
