Multivariable confluence hypergeometric function

In summary, the conversation discussed a search for references on a multivariable generalization of a (confluent) hypergeometric function. The speaker mentioned Horns list, which includes a two-variable hypergeometric function with a specific series expansion. They also mentioned their own work with a similar series expansion for a multivariable version of the function. They were seeking a paper that defines or mentions this function for citation purposes. The speaker also noted that different authors may use different notations for the function. Some relevant papers that use a notation closer to the speaker's were mentioned.
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I'm looking for any kind of reference on a multivariable generalization of a (confluent) hypergeometric function.

In particular, Horns list is a list of 34 two-variable hypergeometric functions, 20 of which are confluent. Then one of these has the following series expansion:

[tex]\Phi_2(\beta, \beta', \gamma, x, y) = \sum_{n,m = 0}^{\infty} \frac{(\beta)_m (\beta')_n}{(\gamma)_{m+n} m! n!} x^m y^n[/tex]

Here [itex](a)_n = \Gamma[a+n]/\Gamma[a][/itex] is the Pochhammer symbol. Now, in some odd piece of my work I somehow arrived at a series expansion that looks like:

[tex]\tilde{\Phi}(\beta_1, \ldots, \beta_N, \gamma, x_1, \ldots ,x_N) = \sum_{n_1,\ldots,n_N} \frac{(\beta_1)_{n_1} \cdots (\beta_N)_{n_N} }{(\gamma)_{n_1 + \cdots + n_N} n_1!\cdots n_N!} x_1^{n_1}\cdots x_N^{n_N} [/tex]

which is like a multivariable expansion of the [itex]\Phi_2[/itex] function. I was wondering if anyone knows of a paper where this function is defined / mentioned? I'd like to use it as a citation.
 
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FAQ: Multivariable confluence hypergeometric function

What is a multivariable confluence hypergeometric function?

A multivariable confluence hypergeometric function is a mathematical function that is used to describe the relationship between multiple variables based on their confluence, or coming together, at a specific point or set of points. It is often used in statistical analysis and can be represented by a series of power functions.

How is a multivariable confluence hypergeometric function different from a regular hypergeometric function?

The main difference between a multivariable confluence hypergeometric function and a regular hypergeometric function is that the former has multiple variables while the latter only has one. This means that a multivariable function can describe the relationship between multiple variables, while a regular function can only describe the relationship between one variable and a set of parameters.

What are some real-world applications of a multivariable confluence hypergeometric function?

A multivariable confluence hypergeometric function can be used in a variety of fields such as physics, economics, and engineering. It can be used to model the behavior of multiple variables in a system, such as the relationship between temperature, pressure, and volume in a gas. It can also be used in statistical analysis to describe the relationship between multiple variables in a dataset.

How is a multivariable confluence hypergeometric function calculated?

A multivariable confluence hypergeometric function can be calculated using a series expansion method, where the function is represented as a sum of power functions. It can also be calculated using specialized software or programming languages that have built-in functions for this purpose. Additionally, there are several approximation techniques that can be used to calculate the function.

Are there any limitations to using a multivariable confluence hypergeometric function?

Like any mathematical model, a multivariable confluence hypergeometric function has its limitations. It may not accurately describe the relationship between variables in all situations, and its accuracy may decrease as the number of variables increases. Additionally, it may not be suitable for highly complex systems or situations where there is a high degree of variability between the variables.

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