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  • Lin, Tsung-Wu  (3)
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  • 1
    Online Resource
    Online Resource
    Canadian Center of Science and Education ; 2019
    In:  International Journal of Statistics and Probability Vol. 8, No. 2 ( 2019-01-25), p. 90-
    In: International Journal of Statistics and Probability, Canadian Center of Science and Education, Vol. 8, No. 2 ( 2019-01-25), p. 90-
    Abstract: This article derives the probability density function & psi; & xi;;x,x & #39; & nbsp;of the resulting speed & xi; & nbsp;from the collision of two particles with speeds x & nbsp;and x & #39; . This function had been left unsolved for about 150 years. Then uses two approaches to obtain the Maxwell speed distribution: (1) Numerical iteration: using the equation Pnew & xi;=0 & infin;0 & infin; & psi; & xi;;x,x & #39; ∙Poldx∙Poldx & #39; dxdx & #39; & nbsp; to get the new speed distribution from the old speed distribution. Also, after 9 iterations, the distribution converges to the Maxwell speed distribution. (2) Analytical integration: using the Maxwell speed distribution as the Poldx , and then getting Pnew & xi; & nbsp;from the above integration. The result of Pnew & xi; & nbsp;from analytical integration is proved to be exactly the Maxwell speed distribution.
    Type of Medium: Online Resource
    ISSN: 1927-7040 , 1927-7032
    Language: Unknown
    Publisher: Canadian Center of Science and Education
    Publication Date: 2019
    detail.hit.zdb_id: 2676918-9
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Canadian Center of Science and Education ; 2021
    In:  International Journal of Statistics and Probability Vol. 10, No. 4 ( 2021-06-06), p. 21-
    In: International Journal of Statistics and Probability, Canadian Center of Science and Education, Vol. 10, No. 4 ( 2021-06-06), p. 21-
    Abstract: The Maxwell-Boltzmann speed distribution is the probability distribution that describes the speeds of the particles of ideal gases. The Maxwell-Boltzmann speed distribution is valid for both un-mixed particles (one type of particle) and mixed particles (two types of particles). For mixed particles, both types of particles follow the Maxwell-Boltzmann speed distribution. Also, the most probable speed is inversely proportional to the square root of the mass. This paper proves the Maxwell-Boltzmann speed distribution and the speed ratio of mixed particles using computer-generated data based on Newton & rsquo;s law of motion. To achieve this, this paper derives the probability density function & psi;^ab(u_a;v_a,v_b) & nbsp;of the speed u_a of the particle with mass M_a after the collision of two particles with mass M_a in speed v_a and mass M_b in speed v_b. The function & psi;^ab(u_a;v_a,v_b) & nbsp;is obtained through a unique procedure that considers (1) the randomness of the relative direction before a collision by an angle & alpha;. (2) the randomness of the direction after the collision by another independent angle & beta;. The function & psi;^ab(u_a;v_a,v_b) is used in the equation below for the numerical iterations to get new distributions P_new^a(u_a) from old distributions P_old^a(v_a), and repeat with P_old^a(v_a)=P_new^a(v_a), where n_a is the fraction of particles with mass M_a. P_new^1(u_1)=n_1 & int;_0^ & infin; & int;_0^ & infin; & psi;^11(u_1;v_1,v & rsquo;_1) P_old^1(v_1) P_old^1(v & rsquo;_1) dv_1 dv & rsquo;_1 & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; +n_2 & int;_0^ & infin; & int;_0^ & infin; & psi;^12(u_1;v_1,v_2) P_old^1(v_1) P_old^2(v_2) dv_1 dv_2 P_new^2(u_2)=n_1 & int;_0^ & infin; & int;_0^ & infin; & psi;^21(u_2;v_2,v_1) P_old^2(v_2) P_old^1(v_1) dv_2 dv_1 & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; +n_2 & int;_0^ & infin; & int;_0^ & infin; & psi;^22(u_2;v_2,v & rsquo;_2) P_old^2(v_2) P_old^2(v & rsquo;_2) dv_2 dv & rsquo;_2 The final distributions converge to the Maxwell-Boltzmann speed distributions. Moreover, the square of the root-mean-square speed from the final distribution is inversely proportional to the particle masses as predicted by Avogadro & rsquo;s law.
    Type of Medium: Online Resource
    ISSN: 1927-7040 , 1927-7032
    Language: Unknown
    Publisher: Canadian Center of Science and Education
    Publication Date: 2021
    detail.hit.zdb_id: 2676918-9
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Canadian Center of Science and Education ; 2021
    In:  International Journal of Statistics and Probability Vol. 10, No. 3 ( 2021-04-27), p. 135-
    In: International Journal of Statistics and Probability, Canadian Center of Science and Education, Vol. 10, No. 3 ( 2021-04-27), p. 135-
    Abstract: The Maxwell-Boltzmann speed distribution is the probability distribution that describes the speeds of the particles of ideal gases. The Maxwell-Boltzmann speed distribution is valid for both un-mixed particles (one type of particle) and mixed particles (two types of particles). For mixed particles, both types of particles follow the Maxwell-Boltzmann speed distribution. Also, the most probable speed is inversely proportional to the square root of the mass. The Maxwell-Boltzmann speed distribution of mixed particles is based on kinetic theory; however, it has never been derived from a mechanical point of view. This paper proves the Maxwell-Boltzmann speed distribution and the speed ratio of mixed particles based on probability analysis and Newton & rsquo;s law of motion. This paper requires the probability & nbsp;density function (PDF) & psi;^ab(u_a; v_a, v_b) & nbsp;of the speed u_a & nbsp; of the particle with mass M_a & nbsp; after the collision of two particles with mass M_a & nbsp; in speed v_a & nbsp; and mass M_b & nbsp; in speed v_b . The PDF & psi;^ab(u_a; v_a, v_b) & nbsp; in integral form has been obtained before. This paper further performs the exact integration from the integral form to obtain the PDF & psi;^ab(u_a; v_a, v_b) & nbsp; in an evaluated form, which is used in the following equation to get new distribution P_new^a(u_a) & nbsp; from old distributions P_old^a(v_a) and P_old^b(v_b). When P_old^a(v_a) and P_old^b(v_b) & nbsp; are the Maxwell-Boltzmann speed distributions, the integration P_new^a(u_a) & nbsp; obtained analytically is exactly the Maxwell-Boltzmann speed distribution. P_new^a(u_a)= & int;_0^ & infin; & int;_0^ & infin; & psi;^ab(u_a;v_a,v_b) P_old^a(v_a) P_old^b(v_b) dv_a dv_b, & nbsp; & nbsp; & nbsp;a,b = 1 or 2 The mechanical proof of the Maxwell-Boltzmann speed distribution presented in this paper reveals the unsolved mechanical mystery of the Maxwell-Boltzmann speed distribution since it was proposed by Maxwell in 1860. Also, since the validation is carried out in an analytical approach, it proves that there is no theoretical limitation of mass ratio to the Maxwell-Boltzmann speed distribution. This provides a foundation and methodology for analyzing the interaction between particles with an extreme mass ratio, such as gases and neutrinos.
    Type of Medium: Online Resource
    ISSN: 1927-7040 , 1927-7032
    Language: Unknown
    Publisher: Canadian Center of Science and Education
    Publication Date: 2021
    detail.hit.zdb_id: 2676918-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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