Home‎ > ‎

16Dec2014

Eternal = beyond time and space

(where time and space is not yet differentiated,

as is the case with human thinking)

My first work in 2 months after severe illness. This series titled- ETERNAL= or beyond space and time (where space and time is not differentiated).
beyond space and time.

God is eternal, who lives eternally, life of the worlds, hey  ha olamim .  God is the life (source) of all worlds and cuts through the distinction between space and time and binds them together in cosmic oneness.;


אלוהים הוא נצחי, שחי לנצח, חיים של העולמות, היי חה olamim. אלוהים הוא החיים (מקור) שבכל

העולמות וחוצה את ההבחנה בין המרחב והזמן וקושר אותם יחד באחדות קוסמית.
Kol Haneshamah pages 62-63

16Dec



3 November, before I became illWow!  That's one of my two quick favorites.  There's a journey or pageant going on here and, for me at least, it moves in Hebrew right to left. Maybe it ends at Elijah's cave after all the other manifestations of the divine have exhausted themselves.  It's a murmuring darkness.


lb23 and 31a were the ones that spoke to me immediately even though I was rushing through. They open the "unexpected" in a special way. . .maybe because they are not conventionally presented as "pictures on canvas."  Love the shapes and scope of it and what appears to be cotton or linen. What I've seen of your work over the years has the feel of an ongoing revelatory process that comes with the life of contemplation.  I use revelatory in a particular way, the biblical slant. That which is revealed (apocalyptically) ends or makes obsolete that which has gone before. Doesn't do so by destroying the past/present but by bifurcating, i.e., sending out another branch that is reaching for a new destination or vision. (Think vine and branches from John's gospel.)  
 
More than you wanted to know.  Will get back to the others.  Some remind me of celebratory food - decorated pastry.  

RT REV DR David Tetrault


3november2014

I really like the blue one a lot.  It reminds me of the work of Robert Lentz and others on this website https://www.trinitystores.com/store/art-image/dance-creation  Sure, they do a lot of "religious" stuff of saints - to make money I'm sure.  But they also conjure the deep, good stuff the is housed in the archetypal material that quickens the soul.  The big blue one is, for me, The Dance of Creation -- Holy Wisdom is often in the background of your work giving it silent direction away from the specific into the emerging reality. I've been using the word STOCHASTIC lately to try and capture a sense of what this kind of art (in any form) might be manifesting.  Certainly true in music.  http://en.wikipedia.org/wiki/Stochastic_process    
Rt Rev Dr David Tetrault

In probability theory, a stochastic (/stˈkæstɪk/) process, or sometimes random process (widely used) is a collection of random variables, representing the evolution of some system of random values over time. This is the probabilistic counterpart to a deterministic process (or deterministic system). Instead of describing a process which can only evolve in one way (as in the case, for example, of solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy: even if the initial condition (or starting point) is known, there are several (often infinitely many) directions in which the process may evolve.

In the simple case of discrete time, as opposed to continuous time, a stochastic process involves a sequence of random variables and the time series associated with these random variables (for example, see Markov chain, also known as discrete-time Markov chain). One approach to stochastic processes treats them as functions of one or several deterministic arguments (inputs, in most cases regarded as time) whose values (outputs) are random variables: non-deterministic (single) quantities which have certain probability distributions. Random variables corresponding to various times (or points, in the case of random fields) may be completely different. The main requirement is that these different random quantities all have the same type. Type refers to the codomain of the function. Although the random values of a stochastic process at different times may be independent random variables, in most commonly considered situations they exhibit complicated statistical correlations.

Familiar examples of processes modeled as stochastic time series include stock market and exchange rate fluctuations, signals such as speech, audio and video, medical data such as a patient's EKG, EEG, blood pressure or temperature, and random movement such as Brownian motion or random walks. Examples of random fields include static images, random terrain (landscapes), wind waves or composition variations of a heterogeneous material.

A generalization, the random field, is defined by letting the variables' parameters be members of a topological space instead of limited to real values representing time.



Comments